2025-03-21T20:17:50.3051899Z Current runner version: '2.323.0'
2025-03-21T20:17:50.3059095Z Runner name: 'i-09825193d05635cbd'
2025-03-21T20:17:50.3059942Z Runner group name: 'Default'
2025-03-21T20:17:50.3060966Z Machine name: 'ip-10-0-53-4'
2025-03-21T20:17:50.3063972Z ##[group]GITHUB_TOKEN Permissions
2025-03-21T20:17:50.3066425Z Contents: read
2025-03-21T20:17:50.3067122Z Metadata: read
2025-03-21T20:17:50.3067748Z ##[endgroup]
2025-03-21T20:17:50.3070988Z Secret source: Actions
2025-03-21T20:17:50.3071893Z Prepare workflow directory
2025-03-21T20:17:50.6280229Z Prepare all required actions
2025-03-21T20:17:50.6324173Z Getting action download info
2025-03-21T20:17:50.8587086Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-03-21T20:17:51.1204441Z Download action repository 'pytorch/pytorch@main' (SHA:c5deacc27a4a29fa141e179535d56d21a0eb734f)
2025-03-21T20:18:03.8642922Z Download action repository 'actions/download-artifact@v4' (SHA:95815c38cf2ff2164869cbab79da8d1f422bc89e)
2025-03-21T20:18:04.1875787Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-03-21T20:18:04.2898205Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-03-21T20:18:04.6689734Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-03-21T20:18:04.9134093Z Getting action download info
2025-03-21T20:18:05.0549209Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:05.0551257Z ##[group] Inputs
2025-03-21T20:18:05.0554560Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:05.0558354Z   timeout: 900
2025-03-21T20:18:05.0558629Z   runner: linux.2xlarge
2025-03-21T20:18:05.0558916Z   upload-artifact: 
2025-03-21T20:18:05.0559499Z   upload-artifact-to-s3: false
2025-03-21T20:18:05.0559818Z   download-artifact: 
2025-03-21T20:18:05.0560092Z   repository: 
2025-03-21T20:18:05.0560369Z   fetch-depth: 1
2025-03-21T20:18:05.0560625Z   submodules: true
2025-03-21T20:18:05.0560934Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:05.0561330Z   test-infra-repository: pytorch/test-infra
2025-03-21T20:18:05.0561691Z   test-infra-ref: 
2025-03-21T20:18:05.0562001Z   docker-image: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:05.0562489Z   docker-build-dir: .ci/docker
2025-03-21T20:18:05.0562806Z   gpu-arch-type: cpu
2025-03-21T20:18:05.0563068Z   gpu-arch-version: 
2025-03-21T20:18:05.0563344Z   job-name: linux-job
2025-03-21T20:18:05.0563625Z   continue-on-error: false
2025-03-21T20:18:05.0563918Z   binary-matrix: 
2025-03-21T20:18:05.0564179Z   run-with-docker: true
2025-03-21T20:18:05.0564440Z   secrets-env: 
2025-03-21T20:18:05.0564689Z   no-sudo: false
2025-03-21T20:18:05.0564976Z ##[endgroup]
2025-03-21T20:18:05.0565419Z Complete job name: test-llama-runner-qnn-linux (fp32, qnn_8a8w, qnn) / linux-job
2025-03-21T20:18:05.1023304Z A job started hook has been configured by the self-hosted runner administrator
2025-03-21T20:18:05.1128139Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-03-21T20:18:05.1137106Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:05.1138323Z ##[endgroup]
2025-03-21T20:18:06.9052338Z Runner Type: linux.2xlarge
2025-03-21T20:18:06.9053074Z Instance Type: c5.2xlarge
2025-03-21T20:18:06.9053572Z AMI Name: unknown
2025-03-21T20:18:06.9077075Z AMI ID: ami-08b5b3a93ed654d19
2025-03-21T20:18:12.0465447Z ##[group]Run set -euxo pipefail
2025-03-21T20:18:12.0465870Z set -euxo pipefail
2025-03-21T20:18:12.0466211Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:18:12.0466634Z   echo "::group::Cleanup with-sudo debug output"
2025-03-21T20:18:12.0467054Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:12.0467389Z else
2025-03-21T20:18:12.0467693Z   echo "::group::Cleanup no-sudo debug output"
2025-03-21T20:18:12.0468090Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-03-21T20:18:12.0468417Z fi
2025-03-21T20:18:12.0468657Z 
2025-03-21T20:18:12.0468916Z mkdir -p "${GITHUB_WORKSPACE}"
2025-03-21T20:18:12.0469261Z echo "::endgroup::"
2025-03-21T20:18:12.0477671Z shell: /usr/bin/bash -e {0}
2025-03-21T20:18:12.0477984Z env:
2025-03-21T20:18:12.0478281Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:12.0478672Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:12.0479033Z   PR_NUMBER: 
2025-03-21T20:18:12.0482206Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:12.0485586Z   NO_SUDO: false
2025-03-21T20:18:12.0485850Z ##[endgroup]
2025-03-21T20:18:12.0512055Z + [[ false == \f\a\l\s\e ]]
2025-03-21T20:18:12.0522510Z + echo '::group::Cleanup with-sudo debug output'
2025-03-21T20:18:12.0523105Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch
2025-03-21T20:18:12.0530005Z ##[group]Cleanup with-sudo debug output
2025-03-21T20:18:12.1577804Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/branches'
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2025-03-21T20:18:12.2978388Z + mkdir -p /home/ec2-user/actions-runner/_work/executorch/executorch
2025-03-21T20:18:12.2978527Z + echo ::endgroup::
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2025-03-21T20:18:12.2996385Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/closeCommands.test.ts'
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2025-03-21T20:18:12.2997199Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/common.ts'
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2025-03-21T20:18:12.3008435Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json'
2025-03-21T20:18:12.3009013Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.synchronize.json'
2025-03-21T20:18:12.3009568Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger/pull_request.unlabeled.json'
2025-03-21T20:18:12.3010034Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/push-trigger'
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2025-03-21T20:18:12.3011427Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/fixtures/workflow_job.queued.json'
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2025-03-21T20:18:12.3013166Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/jobUtils.test.ts'
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2025-03-21T20:18:12.3014009Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/mergeCommands.test.ts'
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2025-03-21T20:18:12.3015708Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/searchUtils.test.ts'
2025-03-21T20:18:12.3016061Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/setup.ts'
2025-03-21T20:18:12.3016495Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/stripApprovals.test.ts'
2025-03-21T20:18:12.3016909Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/subscriptions.test.ts'
2025-03-21T20:18:12.3017396Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts'
2025-03-21T20:18:12.3017866Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/triggerInductorTestsBot.test.ts'
2025-03-21T20:18:12.3018249Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/utils.test.ts'
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2025-03-21T20:18:12.3019077Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test/verifyDisableTestIssue.test.ts'
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2025-03-21T20:18:12.3019875Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/test'
2025-03-21T20:18:12.3020238Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/tsconfig.json'
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2025-03-21T20:18:12.3021001Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/types'
2025-03-21T20:18:12.3021333Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci/yarn.lock'
2025-03-21T20:18:12.3021671Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/torchci'
2025-03-21T20:18:12.3021968Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:12.3022250Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch'
2025-03-21T20:18:12.3022513Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch'
2025-03-21T20:18:12.3023053Z ##[endgroup]
2025-03-21T20:18:12.3126115Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:12.3126244Z with:
2025-03-21T20:18:12.3126400Z   repository: pytorch/test-infra
2025-03-21T20:18:12.3126513Z   path: test-infra
2025-03-21T20:18:12.3126633Z   submodules: recursive
2025-03-21T20:18:12.3126901Z   token: ***
2025-03-21T20:18:12.3127005Z   ssh-strict: true
2025-03-21T20:18:12.3127119Z   ssh-user: git
2025-03-21T20:18:12.3127236Z   persist-credentials: true
2025-03-21T20:18:12.3127351Z   clean: true
2025-03-21T20:18:12.3127475Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:12.3127591Z   fetch-depth: 1
2025-03-21T20:18:12.3127692Z   fetch-tags: false
2025-03-21T20:18:12.3127798Z   show-progress: true
2025-03-21T20:18:12.3127907Z   lfs: false
2025-03-21T20:18:12.3128020Z   set-safe-directory: true
2025-03-21T20:18:12.3128127Z env:
2025-03-21T20:18:12.3128282Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:12.3128403Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:12.3128516Z   PR_NUMBER: 
2025-03-21T20:18:12.3131597Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:12.3131913Z ##[endgroup]
2025-03-21T20:18:12.4235340Z Syncing repository: pytorch/test-infra
2025-03-21T20:18:12.4236104Z ##[group]Getting Git version info
2025-03-21T20:18:12.4236689Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra'
2025-03-21T20:18:12.4237441Z [command]/usr/bin/git version
2025-03-21T20:18:12.4237747Z git version 2.47.1
2025-03-21T20:18:12.4247860Z ##[endgroup]
2025-03-21T20:18:12.4255622Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/926557c9-43f9-439e-9da7-f59707839e71/.gitconfig'
2025-03-21T20:18:12.4264662Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/926557c9-43f9-439e-9da7-f59707839e71' before making global git config changes
2025-03-21T20:18:12.4265634Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:12.4269654Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:12.4299668Z ##[group]Initializing the repository
2025-03-21T20:18:12.4303355Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:18:12.4332966Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:12.4333761Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:12.4334371Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:12.4334811Z hint:
2025-03-21T20:18:12.4335133Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:12.4335491Z hint:
2025-03-21T20:18:12.4336048Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:12.4336841Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:12.4337312Z hint:
2025-03-21T20:18:12.4337562Z hint: 	git branch -m <name>
2025-03-21T20:18:12.4338147Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/
2025-03-21T20:18:12.4343794Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-03-21T20:18:12.4367165Z ##[endgroup]
2025-03-21T20:18:12.4367638Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:12.4370613Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:12.4393146Z ##[endgroup]
2025-03-21T20:18:12.4393600Z ##[group]Setting up auth
2025-03-21T20:18:12.4398613Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:12.4422761Z [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' || :"
2025-03-21T20:18:12.4671367Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:12.4694261Z [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' || :"
2025-03-21T20:18:12.4936375Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:12.4973354Z ##[endgroup]
2025-03-21T20:18:12.4973933Z ##[group]Determining the default branch
2025-03-21T20:18:12.4976303Z Retrieving the default branch name
2025-03-21T20:18:12.6945047Z Default branch 'main'
2025-03-21T20:18:12.6945861Z ##[endgroup]
2025-03-21T20:18:12.6946329Z ##[group]Fetching the repository
2025-03-21T20:18:12.6951580Z [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
2025-03-21T20:18:13.0030549Z From https://github.com/pytorch/test-infra
2025-03-21T20:18:13.0030995Z  * [new branch]      main       -> origin/main
2025-03-21T20:18:13.0051994Z ##[endgroup]
2025-03-21T20:18:13.0052726Z ##[group]Determining the checkout info
2025-03-21T20:18:13.0053575Z ##[endgroup]
2025-03-21T20:18:13.0057452Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:13.0087003Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:13.0109230Z ##[group]Checking out the ref
2025-03-21T20:18:13.0112215Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-03-21T20:18:13.0901208Z Switched to a new branch 'main'
2025-03-21T20:18:13.0902503Z branch 'main' set up to track 'origin/main'.
2025-03-21T20:18:13.0909465Z ##[endgroup]
2025-03-21T20:18:13.0910268Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:13.0913974Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:13.0949709Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:13.0974932Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:13.0999383Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:13.1020692Z ##[endgroup]
2025-03-21T20:18:13.1021134Z ##[group]Fetching submodules
2025-03-21T20:18:13.1023849Z [command]/usr/bin/git submodule sync --recursive
2025-03-21T20:18:13.1273659Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-03-21T20:18:13.1520210Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-03-21T20:18:13.1758028Z ##[endgroup]
2025-03-21T20:18:13.1762304Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:13.1763507Z [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' || :"
2025-03-21T20:18:13.2005025Z [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"
2025-03-21T20:18:13.2247450Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:13.2487474Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:13.2723844Z ##[endgroup]
2025-03-21T20:18:13.2751609Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:13.2770199Z c1d92bc76c9d8ecf59b36ef10588c9605c8578d1
2025-03-21T20:18:13.2957488Z Prepare all required actions
2025-03-21T20:18:13.2958068Z Getting action download info
2025-03-21T20:18:13.4119492Z Download action repository 'pytorch/test-infra@main' (SHA:c1d92bc76c9d8ecf59b36ef10588c9605c8578d1)
2025-03-21T20:18:14.7796325Z Getting action download info
2025-03-21T20:18:14.8732223Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-03-21T20:18:15.0685908Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-03-21T20:18:15.0686284Z env:
2025-03-21T20:18:15.0686575Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:15.0686961Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:15.0687270Z   PR_NUMBER: 
2025-03-21T20:18:15.0690605Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:15.0693755Z ##[endgroup]
2025-03-21T20:18:15.0779584Z ##[group]Run set -euo pipefail
2025-03-21T20:18:15.0779950Z set -euo pipefail
2025-03-21T20:18:15.0780283Z function get_ec2_metadata() {
2025-03-21T20:18:15.0780671Z   # Pulled from instance metadata endpoint for EC2
2025-03-21T20:18:15.0781331Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-03-21T20:18:15.0781909Z   category=$1
2025-03-21T20:18:15.0782807Z   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}"
2025-03-21T20:18:15.0783720Z }
2025-03-21T20:18:15.0784005Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-03-21T20:18:15.0784448Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-03-21T20:18:15.0784926Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-03-21T20:18:15.0785357Z echo "system info $(uname -a)"
2025-03-21T20:18:15.0791111Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:15.0791524Z env:
2025-03-21T20:18:15.0791804Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:15.0792184Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:15.0792472Z   PR_NUMBER: 
2025-03-21T20:18:15.0795567Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:15.0798707Z ##[endgroup]
2025-03-21T20:18:15.0921905Z ami-id: ami-08b5b3a93ed654d19
2025-03-21T20:18:15.1009935Z instance-id: i-09825193d05635cbd
2025-03-21T20:18:15.1097958Z instance-type: c5.2xlarge
2025-03-21T20:18:15.1107349Z system info Linux ip-10-0-53-4.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
2025-03-21T20:18:15.1143116Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:15.1144053Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:18:15.1149817Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:15.1150202Z env:
2025-03-21T20:18:15.1150491Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:15.1151008Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:15.1151329Z   PR_NUMBER: 
2025-03-21T20:18:15.1154415Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:15.1157573Z ##[endgroup]
2025-03-21T20:18:15.1248325Z ##[group]Run if systemctl is-active --quiet docker; then
2025-03-21T20:18:15.1248801Z if systemctl is-active --quiet docker; then
2025-03-21T20:18:15.1249195Z     echo "Docker daemon is running...";
2025-03-21T20:18:15.1249523Z else
2025-03-21T20:18:15.1249894Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-03-21T20:18:15.1250327Z fi
2025-03-21T20:18:15.1255322Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:15.1255720Z env:
2025-03-21T20:18:15.1256003Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:15.1256373Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:15.1256679Z   PR_NUMBER: 
2025-03-21T20:18:15.1259765Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:15.1262929Z ##[endgroup]
2025-03-21T20:18:15.1326526Z Docker daemon is running...
2025-03-21T20:18:15.1355559Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:15.1356215Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-03-21T20:18:15.1356749Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-03-21T20:18:15.1357369Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-03-21T20:18:15.1358129Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-03-21T20:18:15.1363647Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:15.1364053Z env:
2025-03-21T20:18:15.1364340Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:15.1364725Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:15.1365018Z   PR_NUMBER: 
2025-03-21T20:18:15.1368113Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:15.1371352Z   AWS_RETRY_MODE: standard
2025-03-21T20:18:15.1371644Z   AWS_MAX_ATTEMPTS: 5
2025-03-21T20:18:15.1371915Z   AWS_DEFAULT_REGION: us-east-1
2025-03-21T20:18:15.1372214Z ##[endgroup]
2025-03-21T20:18:16.1557049Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:16.1557696Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:16.1558537Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:16.1559065Z 
2025-03-21T20:18:16.1559177Z Login Succeeded
2025-03-21T20:18:16.1601424Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:16.1602055Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:16.1602663Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-03-21T20:18:16.1608548Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:16.1608943Z env:
2025-03-21T20:18:16.1609230Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:16.1609612Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:16.1609912Z   PR_NUMBER: 
2025-03-21T20:18:16.1613003Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:16.1616163Z ##[endgroup]
2025-03-21T20:18:16.1694101Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:16.1694592Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-03-21T20:18:16.1695007Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:16.1695377Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-03-21T20:18:16.1695832Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:16.1696279Z 
2025-03-21T20:18:16.1696598Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-03-21T20:18:16.1697043Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:16.1697442Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-03-21T20:18:16.1697944Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:16.1698404Z 
2025-03-21T20:18:16.1698809Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-03-21T20:18:16.1699183Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:16.1699538Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-03-21T20:18:16.1699960Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-03-21T20:18:16.1705350Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:16.1705731Z env:
2025-03-21T20:18:16.1706014Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:16.1706394Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:16.1706701Z   PR_NUMBER: 
2025-03-21T20:18:16.1709799Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:16.1713060Z ##[endgroup]
2025-03-21T20:18:16.6929604Z ##[group]Run needs=0
2025-03-21T20:18:16.6929914Z needs=0
2025-03-21T20:18:16.6930299Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-03-21T20:18:16.6930759Z   needs=1
2025-03-21T20:18:16.6931043Z fi
2025-03-21T20:18:16.6931316Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-03-21T20:18:16.6938006Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:16.6938402Z env:
2025-03-21T20:18:16.6938708Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:16.6939096Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:16.6939406Z   PR_NUMBER: 
2025-03-21T20:18:16.6942615Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:16.6945912Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:16.6946523Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:16.6947096Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:16.6947512Z ##[endgroup]
2025-03-21T20:18:16.7187618Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:16.7188228Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:18:16.7188676Z # shellcheck disable=SC2046
2025-03-21T20:18:16.7189019Z docker stop $(docker ps -q) || true
2025-03-21T20:18:16.7189384Z # Prune all of the docker images
2025-03-21T20:18:16.7189732Z docker system prune -af
2025-03-21T20:18:16.7195317Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:16.7195715Z env:
2025-03-21T20:18:16.7195993Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:16.7196522Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:16.7196837Z   PR_NUMBER: 
2025-03-21T20:18:16.7199927Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:16.7203436Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:16.7204047Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:16.7204624Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:16.7205031Z ##[endgroup]
2025-03-21T20:18:16.7423035Z "docker stop" requires at least 1 argument.
2025-03-21T20:18:16.7423594Z See 'docker stop --help'.
2025-03-21T20:18:16.7423778Z 
2025-03-21T20:18:16.7423951Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-03-21T20:18:16.7424238Z 
2025-03-21T20:18:16.7425069Z Stop one or more running containers
2025-03-21T20:18:16.7556161Z Total reclaimed space: 0B
2025-03-21T20:18:16.7627295Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-03-21T20:18:16.7627687Z with:
2025-03-21T20:18:16.7628159Z   github-secret: ***
2025-03-21T20:18:16.7628864Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-03-21T20:18:16.7629637Z   activate-with-label: false
2025-03-21T20:18:16.7629931Z   label: with-ssh
2025-03-21T20:18:16.7630197Z   remove-existing-keys: true
2025-03-21T20:18:16.7630495Z   fail-silently: true
2025-03-21T20:18:16.7630741Z env:
2025-03-21T20:18:16.7631025Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:16.7631405Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:16.7631709Z   PR_NUMBER: 
2025-03-21T20:18:16.7634836Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:16.7638114Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:16.7638723Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:16.7639288Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:16.7639679Z ##[endgroup]
2025-03-21T20:18:16.8675160Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-03-21T20:18:16.8676537Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-03-21T20:18:16.8788121Z ##[group]Run actions/checkout@v4
2025-03-21T20:18:16.8788450Z with:
2025-03-21T20:18:16.8788688Z   repository: pytorch/executorch
2025-03-21T20:18:16.8789030Z   ref: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:16.8789390Z   path: pytorch/executorch
2025-03-21T20:18:16.8789681Z   fetch-depth: 1
2025-03-21T20:18:16.8789932Z   submodules: true
2025-03-21T20:18:16.8790327Z   token: ***
2025-03-21T20:18:16.8790568Z   ssh-strict: true
2025-03-21T20:18:16.8790818Z   ssh-user: git
2025-03-21T20:18:16.8791079Z   persist-credentials: true
2025-03-21T20:18:16.8791367Z   clean: true
2025-03-21T20:18:16.8791618Z   sparse-checkout-cone-mode: true
2025-03-21T20:18:16.8791933Z   fetch-tags: false
2025-03-21T20:18:16.8792191Z   show-progress: true
2025-03-21T20:18:16.8792453Z   lfs: false
2025-03-21T20:18:16.8792700Z   set-safe-directory: true
2025-03-21T20:18:16.8792971Z env:
2025-03-21T20:18:16.8793383Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:16.8793808Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:16.8794114Z   PR_NUMBER: 
2025-03-21T20:18:16.8797204Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:16.8800490Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:16.8801100Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:16.8801669Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:16.8802064Z ##[endgroup]
2025-03-21T20:18:16.9728792Z Syncing repository: pytorch/executorch
2025-03-21T20:18:16.9734420Z ##[group]Getting Git version info
2025-03-21T20:18:16.9735121Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch'
2025-03-21T20:18:16.9759721Z [command]/usr/bin/git version
2025-03-21T20:18:16.9792528Z git version 2.47.1
2025-03-21T20:18:16.9815992Z ##[endgroup]
2025-03-21T20:18:16.9823457Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/7cb9e93c-8d78-4276-af93-fcb6c99d9a7d/.gitconfig'
2025-03-21T20:18:16.9831622Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/7cb9e93c-8d78-4276-af93-fcb6c99d9a7d' before making global git config changes
2025-03-21T20:18:16.9832690Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:18:16.9837036Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:16.9876793Z ##[group]Initializing the repository
2025-03-21T20:18:16.9880207Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch
2025-03-21T20:18:16.9907836Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-03-21T20:18:16.9908595Z hint: is subject to change. To configure the initial branch name to use in all
2025-03-21T20:18:16.9909414Z hint: of your new repositories, which will suppress this warning, call:
2025-03-21T20:18:16.9909988Z hint:
2025-03-21T20:18:16.9910355Z hint: 	git config --global init.defaultBranch <name>
2025-03-21T20:18:16.9910833Z hint:
2025-03-21T20:18:16.9911330Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-03-21T20:18:16.9912217Z hint: 'development'. The just-created branch can be renamed via this command:
2025-03-21T20:18:16.9912825Z hint:
2025-03-21T20:18:16.9913186Z hint: 	git branch -m <name>
2025-03-21T20:18:16.9913914Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/
2025-03-21T20:18:16.9917683Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch
2025-03-21T20:18:16.9941372Z ##[endgroup]
2025-03-21T20:18:16.9941990Z ##[group]Disabling automatic garbage collection
2025-03-21T20:18:16.9944903Z [command]/usr/bin/git config --local gc.auto 0
2025-03-21T20:18:16.9968323Z ##[endgroup]
2025-03-21T20:18:16.9968914Z ##[group]Setting up auth
2025-03-21T20:18:16.9973730Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:18:16.9997720Z [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' || :"
2025-03-21T20:18:17.0246977Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:18:17.0270261Z [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' || :"
2025-03-21T20:18:17.0515885Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:17.0553970Z ##[endgroup]
2025-03-21T20:18:17.0554515Z ##[group]Fetching the repository
2025-03-21T20:18:17.0561071Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:18.4312542Z From https://github.com/pytorch/executorch
2025-03-21T20:18:18.4313053Z  * branch            be92d7d85cb7081ac0a544036da4096a4efa33a8 -> FETCH_HEAD
2025-03-21T20:18:18.4330021Z ##[endgroup]
2025-03-21T20:18:18.4330543Z ##[group]Determining the checkout info
2025-03-21T20:18:18.4332067Z ##[endgroup]
2025-03-21T20:18:18.4336245Z [command]/usr/bin/git sparse-checkout disable
2025-03-21T20:18:18.4365400Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-03-21T20:18:18.4387280Z ##[group]Checking out the ref
2025-03-21T20:18:18.4390597Z [command]/usr/bin/git checkout --progress --force be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:18.8937024Z Note: switching to 'be92d7d85cb7081ac0a544036da4096a4efa33a8'.
2025-03-21T20:18:18.8937375Z 
2025-03-21T20:18:18.8937608Z You are in 'detached HEAD' state. You can look around, make experimental
2025-03-21T20:18:18.8938183Z changes and commit them, and you can discard any commits you make in this
2025-03-21T20:18:18.8938749Z state without impacting any branches by switching back to a branch.
2025-03-21T20:18:18.8939104Z 
2025-03-21T20:18:18.8939330Z If you want to create a new branch to retain commits you create, you may
2025-03-21T20:18:18.8939856Z do so (now or later) by using -c with the switch command. Example:
2025-03-21T20:18:18.8940162Z 
2025-03-21T20:18:18.8940285Z   git switch -c <new-branch-name>
2025-03-21T20:18:18.8940505Z 
2025-03-21T20:18:18.8940621Z Or undo this operation with:
2025-03-21T20:18:18.8940808Z 
2025-03-21T20:18:18.8940918Z   git switch -
2025-03-21T20:18:18.8941058Z 
2025-03-21T20:18:18.8941312Z Turn off this advice by setting config variable advice.detachedHead to false
2025-03-21T20:18:18.8941662Z 
2025-03-21T20:18:18.8941843Z HEAD is now at be92d7d [Android] Use new Llm package API
2025-03-21T20:18:18.8980023Z ##[endgroup]
2025-03-21T20:18:18.8980480Z ##[group]Setting up auth for fetching submodules
2025-03-21T20:18:18.8985515Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-03-21T20:18:18.9022126Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-03-21T20:18:18.9045377Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-03-21T20:18:18.9069054Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-03-21T20:18:18.9088241Z ##[endgroup]
2025-03-21T20:18:18.9088657Z ##[group]Fetching submodules
2025-03-21T20:18:18.9091722Z [command]/usr/bin/git submodule sync
2025-03-21T20:18:18.9347510Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1
2025-03-21T20:18:18.9595481Z 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'
2025-03-21T20:18:18.9597091Z 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'
2025-03-21T20:18:18.9599170Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO'
2025-03-21T20:18:18.9601913Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:18.9605113Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:18.9607346Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2025-03-21T20:18:18.9610306Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:18.9613361Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:18.9616455Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:18.9619574Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:18.9622896Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:18.9626450Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers'
2025-03-21T20:18:18.9629947Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:18.9633341Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim'
2025-03-21T20:18:18.9637106Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao'
2025-03-21T20:18:18.9640922Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2025-03-21T20:18:18.9646382Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2025-03-21T20:18:18.9650306Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2025-03-21T20:18:18.9654311Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2025-03-21T20:18:18.9658237Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2025-03-21T20:18:18.9662409Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft'
2025-03-21T20:18:18.9666788Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2025-03-21T20:18:18.9670889Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2025-03-21T20:18:18.9698004Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'...
2025-03-21T20:18:19.2126183Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'...
2025-03-21T20:18:19.2128059Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'...
2025-03-21T20:18:19.2129593Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'...
2025-03-21T20:18:19.2156680Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'...
2025-03-21T20:18:19.2255720Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'...
2025-03-21T20:18:19.3736377Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2025-03-21T20:18:19.3739054Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'...
2025-03-21T20:18:19.3767923Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2025-03-21T20:18:19.4067610Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'...
2025-03-21T20:18:19.4481352Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'...
2025-03-21T20:18:19.6719289Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'...
2025-03-21T20:18:19.6721691Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'...
2025-03-21T20:18:19.6723996Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'...
2025-03-21T20:18:19.6726478Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'...
2025-03-21T20:18:19.6745528Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'...
2025-03-21T20:18:19.7747204Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'...
2025-03-21T20:18:19.7748592Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'...
2025-03-21T20:18:19.8263520Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'...
2025-03-21T20:18:19.9495352Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'...
2025-03-21T20:18:19.9628051Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'...
2025-03-21T20:18:20.0631107Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'...
2025-03-21T20:18:20.0900095Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'...
2025-03-21T20:18:20.9368336Z From https://github.com/pytorch-labs/ethos-u-core-driver-mirror
2025-03-21T20:18:20.9369136Z  * branch            78df0006c5fa667150d3ee35db7bde1d3f6f58c7 -> FETCH_HEAD
2025-03-21T20:18:20.9479619Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '78df0006c5fa667150d3ee35db7bde1d3f6f58c7'
2025-03-21T20:18:21.4423291Z From https://github.com/pytorch-labs/tosa_serialization_lib-mirror
2025-03-21T20:18:21.4423993Z  * branch            187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD
2025-03-21T20:18:21.4528443Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2025-03-21T20:18:21.4619249Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461'
2025-03-21T20:18:22.1436193Z From https://github.com/KhronosGroup/Vulkan-Headers
2025-03-21T20:18:22.1436991Z  * branch            0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD
2025-03-21T20:18:22.1932593Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2025-03-21T20:18:22.7435582Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator
2025-03-21T20:18:22.7436867Z  * branch            a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD
2025-03-21T20:18:22.7742677Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2025-03-21T20:18:23.1375360Z From https://github.com/zeux/volk
2025-03-21T20:18:23.1376222Z  * branch            b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD
2025-03-21T20:18:23.1445946Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2025-03-21T20:18:23.6910314Z From https://github.com/Maratyszcza/FP16
2025-03-21T20:18:23.6910906Z  * branch            4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD
2025-03-21T20:18:23.6996783Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2025-03-21T20:18:24.1354865Z From https://github.com/Maratyszcza/FXdiv
2025-03-21T20:18:24.1355498Z  * branch            b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD
2025-03-21T20:18:24.1411891Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2025-03-21T20:18:25.6304330Z From https://github.com/google/XNNPACK
2025-03-21T20:18:25.6304935Z  * branch              4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD
2025-03-21T20:18:26.2185333Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8'
2025-03-21T20:18:26.6992423Z From https://github.com/pytorch/cpuinfo
2025-03-21T20:18:26.6993187Z  * branch            1e83a2fdd3102f65c6f1fb602c1b320486218a99 -> FETCH_HEAD
2025-03-21T20:18:26.7813563Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99'
2025-03-21T20:18:27.2070426Z From https://github.com/Maratyszcza/pthreadpool
2025-03-21T20:18:27.2071024Z  * branch            4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD
2025-03-21T20:18:27.2153375Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-03-21T20:18:27.6669472Z From https://github.com/pytorch-labs/tokenizers
2025-03-21T20:18:27.6670219Z  * branch            d70f5a760552d8d3bb288cdd93eebde477bb6eb0 -> FETCH_HEAD
2025-03-21T20:18:27.6907402Z Submodule path 'extension/llm/tokenizers': checked out 'd70f5a760552d8d3bb288cdd93eebde477bb6eb0'
2025-03-21T20:18:29.1862552Z From https://gitlab.com/libeigen/eigen
2025-03-21T20:18:29.1863413Z  * branch            a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD
2025-03-21T20:18:29.3085216Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2025-03-21T20:18:29.3253764Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1'
2025-03-21T20:18:29.8480991Z From https://github.com/pytorch/ao
2025-03-21T20:18:29.8481515Z  * branch            64bcf4c25755a783685ba7383000b3bf722523c1 -> FETCH_HEAD
2025-03-21T20:18:29.9131945Z Submodule path 'third-party/ao': checked out '64bcf4c25755a783685ba7383000b3bf722523c1'
2025-03-21T20:18:30.5122640Z From https://github.com/google/flatbuffers
2025-03-21T20:18:30.5123171Z  * branch            595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD
2025-03-21T20:18:30.6133549Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e'
2025-03-21T20:18:31.1116865Z From https://github.com/dvidelabs/flatcc
2025-03-21T20:18:31.1117389Z  * branch            896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD
2025-03-21T20:18:31.1356849Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117'
2025-03-21T20:18:31.5394174Z From https://github.com/gflags/gflags
2025-03-21T20:18:31.5394968Z  * branch            a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD
2025-03-21T20:18:31.5478798Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2025-03-21T20:18:32.1392247Z From https://github.com/google/googletest
2025-03-21T20:18:32.1393004Z  * branch            e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD
2025-03-21T20:18:32.1731549Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-03-21T20:18:32.5452607Z From https://github.com/leetal/ios-cmake
2025-03-21T20:18:32.5453343Z  * branch            06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD
2025-03-21T20:18:32.5524255Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2025-03-21T20:18:32.5592258Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-03-21T20:18:33.1748449Z From https://github.com/facebook/buck2-prelude
2025-03-21T20:18:33.1748994Z  * branch            851d3f09c452937fc5adef27e2c50f7f304f1646 -> FETCH_HEAD
2025-03-21T20:18:33.2492339Z Submodule path 'third-party/prelude': checked out '851d3f09c452937fc5adef27e2c50f7f304f1646'
2025-03-21T20:18:33.8144554Z From https://github.com/pybind/pybind11
2025-03-21T20:18:33.8145127Z  * branch            a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD
2025-03-21T20:18:33.8408043Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-03-21T20:18:33.8422902Z [command]/usr/bin/git submodule foreach git config --local gc.auto 0
2025-03-21T20:18:33.8672196Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:33.8696740Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:33.8721463Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:33.8746280Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:33.8770134Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:33.8793819Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:33.8817616Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:33.8841368Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:33.8865466Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:33.8889148Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:33.8912498Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:33.8936276Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:33.8959784Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:33.8983143Z Entering 'shim'
2025-03-21T20:18:33.9008219Z Entering 'third-party/ao'
2025-03-21T20:18:33.9031884Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:33.9055075Z Entering 'third-party/flatcc'
2025-03-21T20:18:33.9078179Z Entering 'third-party/gflags'
2025-03-21T20:18:33.9101501Z Entering 'third-party/googletest'
2025-03-21T20:18:33.9125345Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:33.9148557Z Entering 'third-party/pocketfft'
2025-03-21T20:18:33.9171887Z Entering 'third-party/prelude'
2025-03-21T20:18:33.9194648Z Entering 'third-party/pybind11'
2025-03-21T20:18:33.9227182Z ##[endgroup]
2025-03-21T20:18:33.9227711Z ##[group]Persisting credentials for submodules
2025-03-21T20:18:33.9234403Z [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' || :"
2025-03-21T20:18:33.9477294Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:33.9526607Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:33.9576783Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:33.9624918Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:33.9673932Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:33.9722785Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:33.9771365Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:33.9820178Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:33.9868800Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:33.9933465Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:33.9982971Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:34.0031625Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:34.0080447Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:34.0131044Z Entering 'shim'
2025-03-21T20:18:34.0179126Z Entering 'third-party/ao'
2025-03-21T20:18:34.0228845Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:34.0279660Z Entering 'third-party/flatcc'
2025-03-21T20:18:34.0329512Z Entering 'third-party/gflags'
2025-03-21T20:18:34.0377564Z Entering 'third-party/googletest'
2025-03-21T20:18:34.0427603Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:34.0475576Z Entering 'third-party/pocketfft'
2025-03-21T20:18:34.0523571Z Entering 'third-party/prelude'
2025-03-21T20:18:34.0572601Z Entering 'third-party/pybind11'
2025-03-21T20:18:34.0632244Z [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"
2025-03-21T20:18:34.0878693Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:34.0925118Z 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
2025-03-21T20:18:34.0926231Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:34.0974761Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config	remote.origin.url
2025-03-21T20:18:34.0976026Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:34.1021864Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config	remote.origin.url
2025-03-21T20:18:34.1023040Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:34.1069334Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config	remote.origin.url
2025-03-21T20:18:34.1070597Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:34.1116686Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config	remote.origin.url
2025-03-21T20:18:34.1117730Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:34.1164746Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config	remote.origin.url
2025-03-21T20:18:34.1165808Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:34.1211400Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config	remote.origin.url
2025-03-21T20:18:34.1212483Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:34.1258745Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config	remote.origin.url
2025-03-21T20:18:34.1259767Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:34.1306119Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config	remote.origin.url
2025-03-21T20:18:34.1307572Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:34.1353987Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config	remote.origin.url
2025-03-21T20:18:34.1355158Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:34.1402251Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config	remote.origin.url
2025-03-21T20:18:34.1403309Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:34.1449463Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config	remote.origin.url
2025-03-21T20:18:34.1450637Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:34.1497392Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config	remote.origin.url
2025-03-21T20:18:34.1498333Z Entering 'shim'
2025-03-21T20:18:34.1544159Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config	remote.origin.url
2025-03-21T20:18:34.1545017Z Entering 'third-party/ao'
2025-03-21T20:18:34.1591133Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config	remote.origin.url
2025-03-21T20:18:34.1592095Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:34.1638372Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config	remote.origin.url
2025-03-21T20:18:34.1639533Z Entering 'third-party/flatcc'
2025-03-21T20:18:34.1685489Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config	remote.origin.url
2025-03-21T20:18:34.1686384Z Entering 'third-party/gflags'
2025-03-21T20:18:34.1732097Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config	remote.origin.url
2025-03-21T20:18:34.1733036Z Entering 'third-party/googletest'
2025-03-21T20:18:34.1779637Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config	remote.origin.url
2025-03-21T20:18:34.1780542Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:34.1827334Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config	remote.origin.url
2025-03-21T20:18:34.1828472Z Entering 'third-party/pocketfft'
2025-03-21T20:18:34.1874782Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config	remote.origin.url
2025-03-21T20:18:34.1875685Z Entering 'third-party/prelude'
2025-03-21T20:18:34.1921825Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config	remote.origin.url
2025-03-21T20:18:34.1922718Z Entering 'third-party/pybind11'
2025-03-21T20:18:34.1969684Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config	remote.origin.url
2025-03-21T20:18:34.2147026Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-03-21T20:18:34.2389559Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:34.2413470Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:34.2437382Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:34.2461678Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:34.2485121Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:34.2508604Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:34.2532506Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:34.2555968Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:34.2579733Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:34.2603811Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:34.2627715Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:34.2651448Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:34.2675146Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:34.2698492Z Entering 'shim'
2025-03-21T20:18:34.2721840Z Entering 'third-party/ao'
2025-03-21T20:18:34.2745273Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:34.2768558Z Entering 'third-party/flatcc'
2025-03-21T20:18:34.2791755Z Entering 'third-party/gflags'
2025-03-21T20:18:34.2815164Z Entering 'third-party/googletest'
2025-03-21T20:18:34.2838961Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:34.2862227Z Entering 'third-party/pocketfft'
2025-03-21T20:18:34.2885874Z Entering 'third-party/prelude'
2025-03-21T20:18:34.2909257Z Entering 'third-party/pybind11'
2025-03-21T20:18:34.2943557Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-03-21T20:18:34.3185470Z Entering 'backends/arm/third-party/ethos-u-core-driver'
2025-03-21T20:18:34.3208795Z Entering 'backends/arm/third-party/serialization_lib'
2025-03-21T20:18:34.3232966Z Entering 'backends/cadence/utils/FACTO'
2025-03-21T20:18:34.3256827Z Entering 'backends/vulkan/third-party/Vulkan-Headers'
2025-03-21T20:18:34.3280381Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator'
2025-03-21T20:18:34.3303740Z Entering 'backends/vulkan/third-party/volk'
2025-03-21T20:18:34.3327406Z Entering 'backends/xnnpack/third-party/FP16'
2025-03-21T20:18:34.3350755Z Entering 'backends/xnnpack/third-party/FXdiv'
2025-03-21T20:18:34.3374268Z Entering 'backends/xnnpack/third-party/XNNPACK'
2025-03-21T20:18:34.3397730Z Entering 'backends/xnnpack/third-party/cpuinfo'
2025-03-21T20:18:34.3421294Z Entering 'backends/xnnpack/third-party/pthreadpool'
2025-03-21T20:18:34.3448808Z Entering 'extension/llm/tokenizers'
2025-03-21T20:18:34.3473566Z Entering 'kernels/optimized/third-party/eigen'
2025-03-21T20:18:34.3497589Z Entering 'shim'
2025-03-21T20:18:34.3521054Z Entering 'third-party/ao'
2025-03-21T20:18:34.3544535Z Entering 'third-party/flatbuffers'
2025-03-21T20:18:34.3567759Z Entering 'third-party/flatcc'
2025-03-21T20:18:34.3590800Z Entering 'third-party/gflags'
2025-03-21T20:18:34.3614047Z Entering 'third-party/googletest'
2025-03-21T20:18:34.3638678Z Entering 'third-party/ios-cmake'
2025-03-21T20:18:34.3662330Z Entering 'third-party/pocketfft'
2025-03-21T20:18:34.3685769Z Entering 'third-party/prelude'
2025-03-21T20:18:34.3708866Z Entering 'third-party/pybind11'
2025-03-21T20:18:34.3746033Z ##[endgroup]
2025-03-21T20:18:34.3775883Z [command]/usr/bin/git log -1 --format=%H
2025-03-21T20:18:34.3794898Z be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:34.3983622Z Prepare all required actions
2025-03-21T20:18:34.3984116Z Getting action download info
2025-03-21T20:18:34.4840976Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-03-21T20:18:34.6316510Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-03-21T20:18:34.6316927Z with:
2025-03-21T20:18:34.6317217Z   docker-image-name: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:34.6317621Z   docker-build-dir: .ci/docker
2025-03-21T20:18:34.6317949Z   working-directory: pytorch/executorch
2025-03-21T20:18:34.6318383Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.6318804Z   force-push: false
2025-03-21T20:18:34.6319041Z env:
2025-03-21T20:18:34.6319311Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:34.6319704Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:34.6320009Z   PR_NUMBER: 
2025-03-21T20:18:34.6323215Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:34.6326855Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:34.6327467Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:34.6328045Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:34.6328439Z ##[endgroup]
2025-03-21T20:18:34.6351517Z ##[group]Run set -ex
2025-03-21T20:18:34.6351848Z set -ex
2025-03-21T20:18:34.6352084Z 
2025-03-21T20:18:34.6352498Z # If the docker build directory or the build script doesn't exist, the action will
2025-03-21T20:18:34.6353176Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-03-21T20:18:34.6353758Z # job could then download the pre-built image as usual
2025-03-21T20:18:34.6354293Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2025-03-21T20:18:34.6354780Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6355240Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6355662Z 
2025-03-21T20:18:34.6356037Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2025-03-21T20:18:34.6356491Z   exit 0
2025-03-21T20:18:34.6356731Z else
2025-03-21T20:18:34.6357001Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6357346Z fi
2025-03-21T20:18:34.6357577Z 
2025-03-21T20:18:34.6357934Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-03-21T20:18:34.6358549Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-03-21T20:18:34.6359100Z   # use it as it is, but first let's extract the tag
2025-03-21T20:18:34.6359681Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-03-21T20:18:34.6360238Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6360746Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6361167Z else
2025-03-21T20:18:34.6361887Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-03-21T20:18:34.6362472Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6363114Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6363694Z fi
2025-03-21T20:18:34.6369262Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:34.6369658Z env:
2025-03-21T20:18:34.6369950Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:34.6370334Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:34.6370625Z   PR_NUMBER: 
2025-03-21T20:18:34.6373738Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:34.6377024Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:34.6377627Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:34.6378177Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:34.6378734Z   REPO_NAME: executorch
2025-03-21T20:18:34.6379071Z   DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:34.6379444Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:34.6379838Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.6380250Z ##[endgroup]
2025-03-21T20:18:34.6403304Z + [[ ! -d .ci/docker ]]
2025-03-21T20:18:34.6403669Z + [[ ! -f .ci/docker/build.sh ]]
2025-03-21T20:18:34.6403973Z + echo skip=false
2025-03-21T20:18:34.6404497Z + [[ 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* ]]
2025-03-21T20:18:34.6407230Z ++ git rev-parse HEAD:.ci/docker
2025-03-21T20:18:34.6421511Z + DOCKER_TAG=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.6421987Z + echo docker-tag=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.6422832Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.6453766Z ##[group]Run set +e
2025-03-21T20:18:34.6454107Z set +e
2025-03-21T20:18:34.6454356Z set -x
2025-03-21T20:18:34.6454600Z 
2025-03-21T20:18:34.6454829Z login() {
2025-03-21T20:18:34.6469472Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:34.6470030Z }
2025-03-21T20:18:34.6470255Z 
2025-03-21T20:18:34.6470465Z retry () {
2025-03-21T20:18:34.6470746Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:34.6471072Z }
2025-03-21T20:18:34.6471288Z 
2025-03-21T20:18:34.6471521Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:34.6471832Z 
2025-03-21T20:18:34.6472051Z START_TIME=$(date +%s)
2025-03-21T20:18:34.6472352Z # Wait up to 120 minutes
2025-03-21T20:18:34.6472717Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-03-21T20:18:34.6473227Z   # Check if image already exists, if it does then skip building it
2025-03-21T20:18:34.6473711Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-03-21T20:18:34.6474257Z     exit 0
2025-03-21T20:18:34.6474505Z   fi
2025-03-21T20:18:34.6474733Z 
2025-03-21T20:18:34.6475119Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-03-21T20:18:34.6475782Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-03-21T20:18:34.6476449Z   # latter, it will wait for the Docker images to become available before continuing
2025-03-21T20:18:34.6476973Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-03-21T20:18:34.6477382Z     # It's a Docker build job, let's build the image
2025-03-21T20:18:34.6477737Z     break
2025-03-21T20:18:34.6477981Z   else
2025-03-21T20:18:34.6478328Z     # It's a regular build job, wait for the image to become available
2025-03-21T20:18:34.6478750Z     sleep 300
2025-03-21T20:18:34.6479006Z   fi
2025-03-21T20:18:34.6479237Z done
2025-03-21T20:18:34.6479465Z 
2025-03-21T20:18:34.6479805Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-03-21T20:18:34.6480375Z # be empty.  The default action would be to continue rebuild the image
2025-03-21T20:18:34.6480880Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-03-21T20:18:34.6481329Z   # if we're on the base branch then use the parent commit
2025-03-21T20:18:34.6481729Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-03-21T20:18:34.6482043Z else
2025-03-21T20:18:34.6482437Z   # otherwise we're on a PR, so use the most recent base commit
2025-03-21T20:18:34.6482916Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-03-21T20:18:34.6483368Z fi
2025-03-21T20:18:34.6483587Z 
2025-03-21T20:18:34.6483820Z if [[ -z "${MERGE_BASE}" ]]; then
2025-03-21T20:18:34.6484177Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6484510Z 
2025-03-21T20:18:34.6484971Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-03-21T20:18:34.6485515Z   exit 0
2025-03-21T20:18:34.6485742Z fi
2025-03-21T20:18:34.6485958Z 
2025-03-21T20:18:34.6486258Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-03-21T20:18:34.6486933Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-03-21T20:18:34.6487513Z   exit 1
2025-03-21T20:18:34.6487739Z fi
2025-03-21T20:18:34.6487953Z 
2025-03-21T20:18:34.6488303Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-03-21T20:18:34.6488963Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-03-21T20:18:34.6489558Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-03-21T20:18:34.6490238Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-03-21T20:18:34.6490993Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-03-21T20:18:34.6491450Z fi
2025-03-21T20:18:34.6491658Z 
2025-03-21T20:18:34.6491911Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-03-21T20:18:34.6497132Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:34.6497513Z env:
2025-03-21T20:18:34.6498160Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.6498921Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:34.6499209Z   PR_NUMBER: 
2025-03-21T20:18:34.6502354Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:34.6505606Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:34.6506192Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:34.6506742Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:34.6507144Z   DOCKER_BUILD_DIR: .ci/docker
2025-03-21T20:18:34.6507486Z   BASE_REVISION: be92d7d85cb7081ac0a544036da4096a4efa33a8
2025-03-21T20:18:34.6507902Z   DOCKER_TAG: 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:34.6508344Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.6508733Z   DOCKER_PUSH: 
2025-03-21T20:18:34.6508961Z ##[endgroup]
2025-03-21T20:18:34.6530753Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.6531224Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:34.6533246Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:34.6534480Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:35.1402187Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:35.1403010Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:35.1403858Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:35.1404432Z 
2025-03-21T20:18:35.1404578Z Login Succeeded
2025-03-21T20:18:35.1416130Z ++ date +%s
2025-03-21T20:18:35.1424746Z + START_TIME=1742588315
2025-03-21T20:18:35.1427730Z ++ date +%s
2025-03-21T20:18:35.1435668Z + [[ 1742581115 -lt 1742588315 ]]
2025-03-21T20:18:35.1436479Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
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2025-03-21T20:18:35.3659165Z 		{
2025-03-21T20:18:35.3659506Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:35.3659998Z 			"size": 1111,
2025-03-21T20:18:35.3660423Z 			"digest": "sha256:040f4b25fe47bc8918c851025cce90e70d8c7182f8e6bbc984aee16c30b5bd3a"
2025-03-21T20:18:35.3660910Z 		},
2025-03-21T20:18:35.3661111Z 		{
2025-03-21T20:18:35.3661461Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:35.3661894Z 			"size": 32,
2025-03-21T20:18:35.3662318Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-03-21T20:18:35.3662806Z 		},
2025-03-21T20:18:35.3663004Z 		{
2025-03-21T20:18:35.3663345Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-03-21T20:18:35.3663774Z 			"size": 108,
2025-03-21T20:18:35.3664203Z 			"digest": "sha256:2ce202d93f2e5871bc44522f1b7c6aab9bf20560c95bd2e9482dbde946b83ff7"
2025-03-21T20:18:35.3664688Z 		}
2025-03-21T20:18:35.3664887Z 	]
2025-03-21T20:18:35.3665095Z }
2025-03-21T20:18:35.3665325Z + exit 0
2025-03-21T20:18:35.3695626Z ##[group]Run set -eux
2025-03-21T20:18:35.3695930Z set -eux
2025-03-21T20:18:35.3696843Z 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
2025-03-21T20:18:35.3703210Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:35.3703616Z env:
2025-03-21T20:18:35.3703890Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:35.3704269Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:35.3704570Z   PR_NUMBER: 
2025-03-21T20:18:35.3707734Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:35.3711024Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:35.3711629Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:35.3712196Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:35.3712602Z ##[endgroup]
2025-03-21T20:18:35.3737880Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-03-21T20:18:35.3738694Z + jq --raw-output .SecretString
2025-03-21T20:18:35.3740323Z + jq -r .docker_hub_readonly_token
2025-03-21T20:18:35.3741747Z + docker login --username pytorchbot --password-stdin
2025-03-21T20:18:35.9175214Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:35.9175867Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:35.9176826Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:35.9177666Z 
2025-03-21T20:18:35.9177849Z Login Succeeded
2025-03-21T20:18:35.9257641Z Prepare all required actions
2025-03-21T20:18:35.9293052Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-03-21T20:18:35.9293455Z with:
2025-03-21T20:18:35.9294128Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:35.9294975Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:35.9295369Z env:
2025-03-21T20:18:35.9295644Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:35.9296018Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:35.9296460Z   PR_NUMBER: 
2025-03-21T20:18:35.9299576Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:35.9302859Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:35.9303461Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:35.9304031Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:35.9304427Z ##[endgroup]
2025-03-21T20:18:35.9323448Z ##[group]Run set -x
2025-03-21T20:18:35.9323747Z set -x
2025-03-21T20:18:35.9323996Z set +e
2025-03-21T20:18:35.9324252Z 
2025-03-21T20:18:35.9324681Z login() {
2025-03-21T20:18:35.9325177Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-03-21T20:18:35.9325714Z }
2025-03-21T20:18:35.9325941Z 
2025-03-21T20:18:35.9326170Z retry () {
2025-03-21T20:18:35.9326442Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-03-21T20:18:35.9326775Z }
2025-03-21T20:18:35.9326999Z 
2025-03-21T20:18:35.9327246Z retry login "${DOCKER_REGISTRY}"
2025-03-21T20:18:35.9327568Z 
2025-03-21T20:18:35.9327776Z set -e
2025-03-21T20:18:35.9328139Z # ignore output since only exit code is used for conditional
2025-03-21T20:18:35.9328640Z # only pull docker image if it's not available locally
2025-03-21T20:18:35.9329195Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-03-21T20:18:35.9329713Z   retry docker pull "${DOCKER_IMAGE}"
2025-03-21T20:18:35.9330052Z fi
2025-03-21T20:18:35.9335768Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:18:35.9336167Z env:
2025-03-21T20:18:35.9336834Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:35.9337604Z   REPOSITORY: pytorch/executorch
2025-03-21T20:18:35.9337914Z   PR_NUMBER: 
2025-03-21T20:18:35.9341120Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:18:35.9344407Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:18:35.9345009Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:18:35.9345577Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:18:35.9346080Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:35.9346560Z ##[endgroup]
2025-03-21T20:18:35.9369385Z + set +e
2025-03-21T20:18:35.9369927Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:35.9370617Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:35.9372733Z + aws ecr get-login-password --region us-east-1
2025-03-21T20:18:35.9373946Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-03-21T20:18:36.4172549Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-03-21T20:18:36.4173183Z Configure a credential helper to remove this warning. See
2025-03-21T20:18:36.4173772Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-03-21T20:18:36.4174180Z 
2025-03-21T20:18:36.4174816Z Login Succeeded
2025-03-21T20:18:36.4185035Z + set -e
2025-03-21T20:18:36.4186027Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:36.4304442Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:36.4305711Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:18:36.6279400Z 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4: Pulling from executorch/executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:18:36.6283658Z 8f84a9f2102e: Pulling fs layer
2025-03-21T20:18:36.6284468Z 86e413e13063: Pulling fs layer
2025-03-21T20:18:36.6285228Z 56848936f031: Pulling fs layer
2025-03-21T20:18:36.6285857Z 261c0f487ad0: Pulling fs layer
2025-03-21T20:18:36.6286364Z a3f0567f83ae: Pulling fs layer
2025-03-21T20:18:36.6286844Z a0c2fdb93dec: Pulling fs layer
2025-03-21T20:18:36.6287290Z 4e0f8d4747da: Pulling fs layer
2025-03-21T20:18:36.6287855Z 5a102502de33: Pulling fs layer
2025-03-21T20:18:36.6288368Z 5d24dc753f04: Pulling fs layer
2025-03-21T20:18:36.6288879Z 85f4a172d5b6: Pulling fs layer
2025-03-21T20:18:36.6289410Z bb9ad7d84f6e: Pulling fs layer
2025-03-21T20:18:36.6289918Z 5120711d46e3: Pulling fs layer
2025-03-21T20:18:36.6290404Z 261c0f487ad0: Waiting
2025-03-21T20:18:36.6290884Z 2d4cecada8b4: Pulling fs layer
2025-03-21T20:18:36.6291415Z a3f0567f83ae: Waiting
2025-03-21T20:18:36.6291736Z e1fd02ccae09: Pulling fs layer
2025-03-21T20:18:36.6292028Z a0c2fdb93dec: Waiting
2025-03-21T20:18:36.6292324Z 508bc8ee650d: Pulling fs layer
2025-03-21T20:18:36.6292626Z 6ff1ffcc6d84: Pulling fs layer
2025-03-21T20:18:36.6292917Z 4e0f8d4747da: Waiting
2025-03-21T20:18:36.6293173Z 5d24dc753f04: Waiting
2025-03-21T20:18:36.6293415Z 5a102502de33: Waiting
2025-03-21T20:18:36.6293678Z 6a063300ab4b: Pulling fs layer
2025-03-21T20:18:36.6293963Z 85f4a172d5b6: Waiting
2025-03-21T20:18:36.6294231Z fb7c06bc00e5: Pulling fs layer
2025-03-21T20:18:36.6294519Z 2d4cecada8b4: Waiting
2025-03-21T20:18:36.6294806Z bb9ad7d84f6e: Waiting
2025-03-21T20:18:36.6295069Z eda4db11af8f: Pulling fs layer
2025-03-21T20:18:36.6295377Z 3cfbc5ff2ac0: Pulling fs layer
2025-03-21T20:18:36.6295680Z 59fe3e940463: Pulling fs layer
2025-03-21T20:18:36.6295968Z 5120711d46e3: Waiting
2025-03-21T20:18:36.6296235Z 50754bc025fc: Pulling fs layer
2025-03-21T20:18:36.6296739Z db5c552aa08b: Pulling fs layer
2025-03-21T20:18:36.6297040Z 508bc8ee650d: Waiting
2025-03-21T20:18:36.6297303Z 6ff1ffcc6d84: Waiting
2025-03-21T20:18:36.6297576Z 706d7d7c1227: Pulling fs layer
2025-03-21T20:18:36.6297941Z 6a063300ab4b: Waiting
2025-03-21T20:18:36.6298202Z 32a4dbb2ef2f: Pulling fs layer
2025-03-21T20:18:36.6298507Z 242848c50d1a: Pulling fs layer
2025-03-21T20:18:36.6298811Z 77ba92adb139: Pulling fs layer
2025-03-21T20:18:36.6299153Z fb7c06bc00e5: Waiting
2025-03-21T20:18:36.6299418Z eda4db11af8f: Waiting
2025-03-21T20:18:36.6299715Z 3c65b9b0c077: Pulling fs layer
2025-03-21T20:18:36.6300009Z 3cfbc5ff2ac0: Waiting
2025-03-21T20:18:36.6300406Z 59fe3e940463: Waiting
2025-03-21T20:18:36.6300673Z 4f4fb700ef54: Pulling fs layer
2025-03-21T20:18:36.6301003Z 50754bc025fc: Waiting
2025-03-21T20:18:36.6301250Z db5c552aa08b: Waiting
2025-03-21T20:18:36.6301516Z 3d39d3c3833d: Pulling fs layer
2025-03-21T20:18:36.6301834Z 706d7d7c1227: Waiting
2025-03-21T20:18:36.6302102Z 040f4b25fe47: Pulling fs layer
2025-03-21T20:18:36.6302392Z 2ce202d93f2e: Pulling fs layer
2025-03-21T20:18:36.6302680Z 32a4dbb2ef2f: Waiting
2025-03-21T20:18:36.6302934Z 242848c50d1a: Waiting
2025-03-21T20:18:36.6303186Z 77ba92adb139: Waiting
2025-03-21T20:18:36.6303473Z 3c65b9b0c077: Waiting
2025-03-21T20:18:36.6303715Z 2ce202d93f2e: Waiting
2025-03-21T20:18:36.6304005Z 3d39d3c3833d: Waiting
2025-03-21T20:18:36.6304334Z 4f4fb700ef54: Waiting
2025-03-21T20:18:36.6304593Z 040f4b25fe47: Waiting
2025-03-21T20:18:36.6304886Z e1fd02ccae09: Waiting
2025-03-21T20:18:36.7237213Z 86e413e13063: Verifying Checksum
2025-03-21T20:18:36.7237754Z 86e413e13063: Download complete
2025-03-21T20:18:36.7951548Z 261c0f487ad0: Verifying Checksum
2025-03-21T20:18:36.7952076Z 261c0f487ad0: Download complete
2025-03-21T20:18:36.9845465Z 8f84a9f2102e: Verifying Checksum
2025-03-21T20:18:36.9846388Z 8f84a9f2102e: Download complete
2025-03-21T20:18:37.0436757Z a3f0567f83ae: Verifying Checksum
2025-03-21T20:18:37.0437290Z a3f0567f83ae: Download complete
2025-03-21T20:18:37.0654921Z a0c2fdb93dec: Verifying Checksum
2025-03-21T20:18:37.0655528Z a0c2fdb93dec: Download complete
2025-03-21T20:18:37.1423256Z 5a102502de33: Download complete
2025-03-21T20:18:37.2128691Z 5d24dc753f04: Download complete
2025-03-21T20:18:37.2855842Z 85f4a172d5b6: Download complete
2025-03-21T20:18:37.6760048Z bb9ad7d84f6e: Verifying Checksum
2025-03-21T20:18:37.6760722Z bb9ad7d84f6e: Download complete
2025-03-21T20:18:37.7482162Z 5120711d46e3: Verifying Checksum
2025-03-21T20:18:37.7482694Z 5120711d46e3: Download complete
2025-03-21T20:18:37.9316990Z 8f84a9f2102e: Pull complete
2025-03-21T20:18:37.9539935Z 86e413e13063: Pull complete
2025-03-21T20:18:38.2534911Z 56848936f031: Verifying Checksum
2025-03-21T20:18:38.2535460Z 56848936f031: Download complete
2025-03-21T20:18:38.3498559Z e1fd02ccae09: Download complete
2025-03-21T20:18:38.4116649Z 4e0f8d4747da: Verifying Checksum
2025-03-21T20:18:38.4117256Z 4e0f8d4747da: Download complete
2025-03-21T20:18:38.4187905Z 508bc8ee650d: Verifying Checksum
2025-03-21T20:18:38.4188640Z 508bc8ee650d: Download complete
2025-03-21T20:18:38.4814449Z 6ff1ffcc6d84: Verifying Checksum
2025-03-21T20:18:38.4814909Z 6ff1ffcc6d84: Download complete
2025-03-21T20:18:38.5759651Z fb7c06bc00e5: Verifying Checksum
2025-03-21T20:18:38.5760281Z fb7c06bc00e5: Download complete
2025-03-21T20:18:38.6555723Z eda4db11af8f: Verifying Checksum
2025-03-21T20:18:38.6556322Z eda4db11af8f: Download complete
2025-03-21T20:18:38.7311878Z 3cfbc5ff2ac0: Download complete
2025-03-21T20:18:38.8001126Z 59fe3e940463: Verifying Checksum
2025-03-21T20:18:38.8001695Z 59fe3e940463: Download complete
2025-03-21T20:18:39.2539354Z 6a063300ab4b: Download complete
2025-03-21T20:18:39.3412649Z db5c552aa08b: Verifying Checksum
2025-03-21T20:18:39.3413251Z db5c552aa08b: Download complete
2025-03-21T20:18:40.3055089Z 2d4cecada8b4: Verifying Checksum
2025-03-21T20:18:40.3055587Z 2d4cecada8b4: Download complete
2025-03-21T20:18:40.3933797Z 32a4dbb2ef2f: Verifying Checksum
2025-03-21T20:18:40.3934368Z 32a4dbb2ef2f: Download complete
2025-03-21T20:18:41.7028682Z 706d7d7c1227: Verifying Checksum
2025-03-21T20:18:41.7029316Z 706d7d7c1227: Download complete
2025-03-21T20:18:41.7933902Z 77ba92adb139: Verifying Checksum
2025-03-21T20:18:41.7934525Z 77ba92adb139: Download complete
2025-03-21T20:18:41.8762692Z 3c65b9b0c077: Download complete
2025-03-21T20:18:41.8817117Z 4f4fb700ef54: Verifying Checksum
2025-03-21T20:18:41.8817570Z 4f4fb700ef54: Download complete
2025-03-21T20:18:41.9509963Z 3d39d3c3833d: Download complete
2025-03-21T20:18:42.0402320Z 040f4b25fe47: Download complete
2025-03-21T20:18:42.1220604Z 2ce202d93f2e: Verifying Checksum
2025-03-21T20:18:42.1221278Z 2ce202d93f2e: Download complete
2025-03-21T20:18:42.2281338Z 242848c50d1a: Verifying Checksum
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2025-03-21T20:19:47.2460934Z 50754bc025fc: Verifying Checksum
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2025-03-21T20:21:23.1034031Z Digest: sha256:d38559c98aeb82552e009bbb7b17d76adfa19c8f3fb874ea99a5e76d87757f76
2025-03-21T20:21:23.1191312Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:23.1316503Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:23.1359215Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:21:23.1360175Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-03-21T20:21:23.1367307Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:21:23.1367695Z env:
2025-03-21T20:21:23.1367982Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:21:23.1368360Z   REPOSITORY: pytorch/executorch
2025-03-21T20:21:23.1368678Z   PR_NUMBER: 
2025-03-21T20:21:23.1371819Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:21:23.1375091Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:21:23.1375699Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:21:23.1376424Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:21:23.1376821Z ##[endgroup]
2025-03-21T20:21:23.1492337Z ##[group]Run set -ex
2025-03-21T20:21:23.1492637Z set -ex
2025-03-21T20:21:23.1492883Z {
2025-03-21T20:21:23.1493136Z   echo "#!/usr/bin/env bash";
2025-03-21T20:21:23.1493470Z   echo "set -eou pipefail";
2025-03-21T20:21:23.1493808Z   # shellcheck disable=SC2016
2025-03-21T20:21:23.1494175Z   echo 'eval "$(conda shell.bash hook)"';
2025-03-21T20:21:23.1494535Z   echo "set -x";
2025-03-21T20:21:23.1494824Z   echo "${SCRIPT}";
2025-03-21T20:21:23.1495124Z } > "${RUNNER_TEMP}/exec_script"
2025-03-21T20:21:23.1495487Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-03-21T20:21:23.1496222Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-03-21T20:21:23.1501693Z shell: /usr/bin/bash -e {0}
2025-03-21T20:21:23.1501988Z env:
2025-03-21T20:21:23.1502681Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:21:23.1503450Z   REPOSITORY: pytorch/executorch
2025-03-21T20:21:23.1503755Z   PR_NUMBER: 
2025-03-21T20:21:23.1506831Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:21:23.1510130Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:21:23.1510735Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:21:23.1511303Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:21:23.1511976Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-03-21T20:21:23.1512312Z ##[endgroup]
2025-03-21T20:21:23.1535144Z + echo '#!/usr/bin/env bash'
2025-03-21T20:21:23.1536387Z + echo 'set -eou pipefail'
2025-03-21T20:21:23.1536782Z + echo 'eval "$(conda shell.bash hook)"'
2025-03-21T20:21:23.1537102Z + echo 'set -x'
2025-03-21T20:21:23.1537517Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image
2025-03-21T20:21:23.1538084Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
2025-03-21T20:21:23.1538479Z conda activate "${CONDA_ENV}"
2025-03-21T20:21:23.1538669Z 
2025-03-21T20:21:23.1538779Z DTYPE=fp32
2025-03-21T20:21:23.1539010Z BUILD_TOOL="cmake"
2025-03-21T20:21:23.1539258Z MODE=qnn
2025-03-21T20:21:23.1539497Z PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:21:23.1539660Z 
2025-03-21T20:21:23.1539830Z ./install_requirements.sh --use-pt-pinned-commit
2025-03-21T20:21:23.1540291Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh
2025-03-21T20:21:23.1540778Z PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh
2025-03-21T20:21:23.1541081Z 
2025-03-21T20:21:23.1541181Z # Setup executorch
2025-03-21T20:21:23.1541623Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}"
2025-03-21T20:21:23.1542152Z # Install requirements for export_llama
2025-03-21T20:21:23.1542635Z PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh
2025-03-21T20:21:23.1543099Z # Test llama2
2025-03-21T20:21:23.1544070Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}"
2025-03-21T20:21:23.1544858Z '
2025-03-21T20:21:23.1545210Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-03-21T20:21:23.1546159Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-03-21T20:21:43.6891071Z Running command: 
2025-03-21T20:21:43.6897189Z         docker run             -e PR_NUMBER             -e RUNNER_ARTIFACT_DIR=/artifacts             -e RUNNER_DOCS_DIR=/docs             -e RUNNER_TEST_RESULTS_DIR=/test-results             --env-file="/home/ec2-user/actions-runner/_work/_temp/github_env_14000170672"             `# It is unknown why the container sees a different value for this.`             -e GITHUB_STEP_SUMMARY             -e SECRET_GITHUB_TOKEN             --cap-add=SYS_PTRACE             --detach             --ipc=host             --security-opt seccomp=unconfined             --shm-size=2g             --tty             --ulimit stack=10485760:83886080             --ulimit core=0                          -v "/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch:/pytorch/executorch"             -v "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra:/test-infra"             -v "/home/ec2-user/actions-runner/_work/_temp/artifacts:/artifacts"             -v "/home/ec2-user/actions-runner/_work/_temp/docs:/docs"             -v "/home/ec2-user/actions-runner/_work/_temp/test-results:/test-results"             -v "/home/ec2-user/actions-runner/_work/_temp/exec_script:/exec"             -v "/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_5348a2de-ee03-4ef8-84ce-4f4a56786c4a":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_5348a2de-ee03-4ef8-84ce-4f4a56786c4a"             -w /pytorch/executorch             "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4"
2025-03-21T20:21:43.6903157Z         
2025-03-21T20:21:43.6903512Z 0cdb4add745785b131b40a2f6a1fd9361cd169d0e444b120f898322331ca0df3
2025-03-21T20:21:43.6904407Z Running command: docker exec -t 0cdb4add745785b131b40a2f6a1fd9361cd169d0e444b120f898322331ca0df3 /exec
2025-03-21T20:21:43.6905006Z ++ conda env list --json
2025-03-21T20:21:43.6905285Z ++ local cmd=env
2025-03-21T20:21:43.6905529Z ++ case "$cmd" in
2025-03-21T20:21:43.6905779Z ++ __conda_exe env list --json
2025-03-21T20:21:43.6906076Z ++ jq -r '.envs | .[-1]'
2025-03-21T20:21:43.6906371Z ++ /opt/conda/bin/conda env list --json
2025-03-21T20:21:43.6906714Z + CONDA_ENV=/opt/conda/envs/py_3.10
2025-03-21T20:21:43.6907039Z + conda activate /opt/conda/envs/py_3.10
2025-03-21T20:21:43.6907369Z + local cmd=activate
2025-03-21T20:21:43.6907626Z + case "$cmd" in
2025-03-21T20:21:43.6907922Z + __conda_activate activate /opt/conda/envs/py_3.10
2025-03-21T20:21:43.6908289Z + '[' -n '' ']'
2025-03-21T20:21:43.6908519Z + local ask_conda
2025-03-21T20:21:43.6908769Z ++ PS1='(base) '
2025-03-21T20:21:43.6909099Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:21:43.6909609Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10
2025-03-21T20:21:43.6910053Z + ask_conda='PS1='\''(py_3.10) '\''
2025-03-21T20:21:43.6910932Z 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'\''
2025-03-21T20:21:43.6911840Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:21:43.6912213Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:21:43.6912525Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:21:43.6912895Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:21:43.6913268Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:21:43.6913615Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:21:43.6914209Z export _CE_M='\'''\''
2025-03-21T20:21:43.6914484Z export _CE_CONDA='\'''\''
2025-03-21T20:21:43.6915012Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:21:43.6915403Z + eval 'PS1='\''(py_3.10) '\''
2025-03-21T20:21:43.6916261Z 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'\''
2025-03-21T20:21:43.6917183Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\''
2025-03-21T20:21:43.6917545Z export CONDA_SHLVL='\''2'\''
2025-03-21T20:21:43.6917861Z export CONDA_DEFAULT_ENV='\''py_3.10'\''
2025-03-21T20:21:43.6918234Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\''
2025-03-21T20:21:43.6918607Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-03-21T20:21:43.6918968Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-03-21T20:21:43.6919296Z export _CE_M='\'''\''
2025-03-21T20:21:43.6919561Z export _CE_CONDA='\'''\''
2025-03-21T20:21:43.6919906Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-03-21T20:21:43.6920281Z ++ PS1='(py_3.10) '
2025-03-21T20:21:43.6921199Z ++ 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
2025-03-21T20:21:43.6922770Z ++ 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
2025-03-21T20:21:43.6923623Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:21:43.6923991Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10
2025-03-21T20:21:43.6924510Z ++ export CONDA_SHLVL=2
2025-03-21T20:21:43.6924783Z ++ CONDA_SHLVL=2
2025-03-21T20:21:43.6925056Z ++ export CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:21:43.6925369Z ++ CONDA_DEFAULT_ENV=py_3.10
2025-03-21T20:21:43.6925692Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) '
2025-03-21T20:21:43.6926049Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) '
2025-03-21T20:21:43.6926395Z ++ export CONDA_PREFIX_1=/opt/conda
2025-03-21T20:21:43.6926717Z ++ CONDA_PREFIX_1=/opt/conda
2025-03-21T20:21:43.6927018Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:21:43.6927356Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-03-21T20:21:43.6927658Z ++ export _CE_M=
2025-03-21T20:21:43.6927900Z ++ _CE_M=
2025-03-21T20:21:43.6928130Z ++ export _CE_CONDA=
2025-03-21T20:21:43.6928373Z ++ _CE_CONDA=
2025-03-21T20:21:43.6928654Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:21:43.6929032Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-03-21T20:21:43.6929363Z + __conda_hashr
2025-03-21T20:21:43.6929592Z + '[' -n '' ']'
2025-03-21T20:21:43.6929831Z + '[' -n '' ']'
2025-03-21T20:21:43.6930066Z + hash -r
2025-03-21T20:21:43.6930290Z + DTYPE=fp32
2025-03-21T20:21:43.6930523Z + BUILD_TOOL=cmake
2025-03-21T20:21:43.6930752Z + MODE=qnn
2025-03-21T20:21:43.6930987Z + PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:21:43.6931319Z + ./install_requirements.sh --use-pt-pinned-commit
2025-03-21T20:21:43.6931917Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:21:43.6932749Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
2025-03-21T20:21:43.6933657Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1)
2025-03-21T20:21:43.6934577Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8)
2025-03-21T20:21:43.6935310Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3))
2025-03-21T20:21:43.6935827Z   Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB)
2025-03-21T20:21:43.6936677Z 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)
2025-03-21T20:21:43.6938027Z 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)
2025-03-21T20:21:43.6939183Z Collecting cmake>=3.19 (from -r requirements-dev.txt (line 1))
2025-03-21T20:21:43.6939822Z   Downloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB)
2025-03-21T20:21:43.6940774Z 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)
2025-03-21T20:21:43.6941895Z Requirement already satisfied: pyyaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 3)) (6.0.1)
2025-03-21T20:21:43.6943054Z Requirement already satisfied: setuptools>=63 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 4)) (75.8.0)
2025-03-21T20:21:43.6944212Z 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)
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2025-03-21T20:21:56.6482209Z 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)
2025-03-21T20:21:56.6483277Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB)
2025-03-21T20:21:56.6484327Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:--
2025-03-21T20:21:56.6485061Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 106.6 MB/s eta 0:00:00
2025-03-21T20:21:56.6485839Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.8 MB)
2025-03-21T20:21:56.6486627Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.8 MB ? eta -:--:--
2025-03-21T20:21:56.6487346Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27.8/27.8 MB 168.2 MB/s eta 0:00:00
2025-03-21T20:21:56.6487929Z [?25hInstalling collected packages: cmake, timm
2025-03-21T20:21:56.6488295Z   Attempting uninstall: timm
2025-03-21T20:21:56.6488628Z     Found existing installation: timm 0.6.13
2025-03-21T20:21:56.6489001Z     Uninstalling timm-0.6.13:
2025-03-21T20:21:56.6489335Z       Successfully uninstalled timm-0.6.13
2025-03-21T20:21:56.6489720Z Successfully installed cmake-3.31.6 timm-1.0.7
2025-03-21T20:21:56.6490083Z Processing ./third-party/ao
2025-03-21T20:21:56.6490513Z   Preparing metadata (setup.py) ... [?25l- \ done
2025-03-21T20:21:56.6491012Z [?25hBuilding wheels for collected packages: torchao
2025-03-21T20:21:56.6491542Z   Building wheel for torchao (setup.py) ... [?25l- \ | done
2025-03-21T20:21:56.6492636Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=964a850a5d7bbd482683480a716a34bb01fe602bccbcb750c8e82ea0855ff5fe
2025-03-21T20:21:56.6493842Z   Stored in directory: /tmp/pip-ephem-wheel-cache-5r4iziyr/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-03-21T20:21:56.6494540Z Successfully built torchao
2025-03-21T20:21:56.6494858Z Installing collected packages: torchao
2025-03-21T20:21:56.6495241Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:21:56.6495619Z + PYTHON_EXECUTABLE=python
2025-03-21T20:21:56.6495927Z + bash .ci/scripts/setup-qnn-deps.sh
2025-03-21T20:21:56.6496237Z + setup_libc++ 12
2025-03-21T20:21:56.6496488Z + clang_version=12
2025-03-21T20:21:56.6496744Z + sudo apt-get update
2025-03-21T20:21:56.6496905Z 
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2025-03-21T20:21:56.6498561Z                                                                                
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2025-03-21T20:21:56.6499535Z                                                                                
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2025-03-21T20:21:56.6500329Z                                               
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2025-03-21T20:21:56.6501690Z                                                        
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2025-03-21T20:21:56.6502478Z                                                        
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2025-03-21T20:21:56.6503988Z                                                          
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2025-03-21T20:21:56.6505880Z                                                                     
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2025-03-21T20:21:56.6507131Z                                   
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2025-03-21T20:21:56.6507927Z                         
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2025-03-21T20:21:56.6509089Z                                  
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2025-03-21T20:21:56.6509887Z                          
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2025-03-21T20:21:56.6511119Z                                   
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2025-03-21T20:21:56.6512017Z                                                 
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2025-03-21T20:21:56.6513448Z                                                         
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2025-03-21T20:21:56.6515599Z                                                          
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2025-03-21T20:21:56.6516984Z                           
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2025-03-21T20:21:56.6517817Z                            
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2025-03-21T20:21:56.6518393Z               
2025-03-21T20:21:56.6518645Z Fetched 3538 kB in 1s (3023 kB/s)
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2025-03-21T20:21:56.6530871Z Reading package lists... Done
2025-03-21T20:21:56.6531060Z 
2025-03-21T20:21:56.6531734Z 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.
2025-03-21T20:21:56.6532659Z + pkgs_to_check=("libc++-${clang_version}-dev")
2025-03-21T20:21:56.6533004Z + j=0
2025-03-21T20:21:56.6533229Z + '[' 0 -lt 1 ']'
2025-03-21T20:21:56.6533502Z ++ verify_pkg_installed libc++-12-dev
2025-03-21T20:21:56.6533888Z +++ dpkg-query -W '--showformat=${Status}\n' libc++-12-dev
2025-03-21T20:21:56.6534436Z +++ grep 'install ok installed'
2025-03-21T20:21:56.6534746Z ++ echo install ok installed
2025-03-21T20:21:56.6535057Z + install_status='install ok installed'
2025-03-21T20:21:56.6535489Z + '[' 'install ok installed' == '' ']'
2025-03-21T20:21:56.6535791Z + j=1
2025-03-21T20:21:56.6536021Z + '[' 1 -lt 1 ']'
2025-03-21T20:21:56.6536279Z + install_qnn
2025-03-21T20:21:56.6536541Z + echo 'Start installing qnn.'
2025-03-21T20:21:56.6536844Z Start installing qnn.
2025-03-21T20:21:56.6537115Z + QNN_INSTALLATION_DIR=/tmp/qnn
2025-03-21T20:21:56.6537415Z + mkdir -p /tmp/qnn
2025-03-21T20:22:35.8709862Z + 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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2025-03-21T20:22:35.8714067Z  14  954M   14  137M    0     0  51.3M      0  0:00:18  0:00:02  0:00:16 69.1M
2025-03-21T20:22:35.8714511Z  21  954M   21  209M    0     0  56.8M      0  0:00:16  0:00:03  0:00:13 70.0M
2025-03-21T20:22:35.8715282Z  28  954M   28  275M    0     0  58.7M      0  0:00:16  0:00:04  0:00:12 68.8M
2025-03-21T20:22:35.8715785Z  36  954M   36  350M    0     0  61.6M      0  0:00:15  0:00:05  0:00:10 70.2M
2025-03-21T20:22:35.8716214Z  44  954M   44  424M    0     0  63.2M      0  0:00:15  0:00:06  0:00:09 71.6M
2025-03-21T20:22:35.8716656Z  52  954M   52  502M    0     0  65.3M      0  0:00:14  0:00:07  0:00:07 72.8M
2025-03-21T20:22:35.8717102Z  61  954M   61  582M    0     0  67.0M      0  0:00:14  0:00:08  0:00:06 74.6M
2025-03-21T20:22:35.8717546Z  69  954M   69  662M    0     0  68.3M      0  0:00:13  0:00:09  0:00:04 77.4M
2025-03-21T20:22:35.8717987Z  77  954M   77  739M    0     0  69.1M      0  0:00:13  0:00:10  0:00:03 77.6M
2025-03-21T20:22:35.8718429Z  84  954M   84  805M    0     0  68.8M      0  0:00:13  0:00:11  0:00:02 76.2M
2025-03-21T20:22:35.8718854Z  91  954M   91  869M    0     0  68.5M      0  0:00:13  0:00:12  0:00:01 73.4M
2025-03-21T20:22:35.8719299Z  98  954M   98  936M    0     0  68.2M      0  0:00:13  0:00:13 --:--:-- 70.2M
2025-03-21T20:22:35.8719755Z 100  954M  100  954M    0     0  68.2M      0  0:00:13  0:00:13 --:--:-- 68.0M
2025-03-21T20:22:35.8720170Z + echo 'Finishing downloading qnn sdk.'
2025-03-21T20:22:35.8720516Z Finishing downloading qnn sdk.
2025-03-21T20:22:35.8720863Z + unzip -qo /tmp/v2.28.0.24.10.29.zip -d /tmp
2025-03-21T20:22:35.8721229Z + echo 'Finishing unzip qnn sdk.'
2025-03-21T20:22:35.8721551Z Finishing unzip qnn sdk.
2025-03-21T20:22:35.8721824Z + ls -lah /tmp/qairt
2025-03-21T20:22:35.8722090Z total 16K
2025-03-21T20:22:35.8722375Z drwxrwxrwx. 3 ci-user ci-user  27 Oct 30 05:44 .
2025-03-21T20:22:35.8722864Z drwxrwxrwt. 1 root    root     58 Mar 21 20:22 ..
2025-03-21T20:22:35.8723301Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 05:45 2.28.0.241029
2025-03-21T20:22:35.8723695Z + mv /tmp/qairt/2.28.0.241029 /tmp/qnn
2025-03-21T20:22:35.8724071Z + echo 'Finishing installing qnn '\''/tmp/qnn'\'' .'
2025-03-21T20:22:35.8724670Z Finishing installing qnn '/tmp/qnn' .
2025-03-21T20:22:35.8725000Z + ls -lah /tmp/qnn
2025-03-21T20:22:35.8725253Z total 16K
2025-03-21T20:22:35.8725522Z drwxr-xr-x. 3 ci-user ci-user  27 Mar 21 20:22 .
2025-03-21T20:22:35.8725920Z drwxrwxrwt. 1 root    root     58 Mar 21 20:22 ..
2025-03-21T20:22:35.8726349Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 05:45 2.28.0.241029
2025-03-21T20:22:35.8727001Z + PYTHON_EXECUTABLE=python
2025-03-21T20:22:35.8727314Z + bash .ci/scripts/build-qnn-sdk.sh
2025-03-21T20:22:35.8727623Z + set -o xtrace
2025-03-21T20:22:35.8727871Z + build_qnn_backend
2025-03-21T20:22:35.8728275Z + echo 'Start building qnn backend.'
2025-03-21T20:22:35.8728606Z Start building qnn backend.
2025-03-21T20:22:35.8728910Z + export ANDROID_NDK_ROOT=/opt/ndk
2025-03-21T20:22:35.8729214Z + ANDROID_NDK_ROOT=/opt/ndk
2025-03-21T20:22:35.8729522Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:22:35.8729869Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:22:35.8730213Z +++ dirname -- .ci/scripts/build-qnn-sdk.sh
2025-03-21T20:22:35.8730556Z ++ cd -- .ci/scripts/../..
2025-03-21T20:22:35.8730818Z ++ pwd
2025-03-21T20:22:35.8731083Z + export EXECUTORCH_ROOT=/pytorch/executorch
2025-03-21T20:22:35.8731448Z + EXECUTORCH_ROOT=/pytorch/executorch
2025-03-21T20:22:35.8731948Z + bash backends/qualcomm/scripts/build.sh --skip_aarch64 --job_number 2 --release
2025-03-21T20:22:35.8732451Z + [[ -z /tmp/qnn/2.28.0.241029 ]]
2025-03-21T20:22:35.8732757Z + '[' --skip_aarch64 = -h ']'
2025-03-21T20:22:35.8733050Z + BUILD_X86_64=true
2025-03-21T20:22:35.8733310Z + CMAKE_X86_64=build-x86
2025-03-21T20:22:35.8733589Z + BUILD_AARCH64=true
2025-03-21T20:22:35.8733862Z + CMAKE_AARCH64=build-android
2025-03-21T20:22:35.8734137Z + CLEAN=true
2025-03-21T20:22:35.8734376Z + BUILD_TYPE=Debug
2025-03-21T20:22:35.8734630Z + BUILD_JOB_NUMBER=16
2025-03-21T20:22:35.8734903Z + '[' -z PYTHON_EXECUTABLE ']'
2025-03-21T20:22:35.8735181Z + '[' -z BUCK2 ']'
2025-03-21T20:22:35.8735542Z + long_options=skip_x86_64,skip_aarch64,no_clean,release,job_number:
2025-03-21T20:22:35.8736483Z ++ 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
2025-03-21T20:22:35.8737407Z + parsed_args=' --skip_aarch64 --job_number '\''2'\'' --release --'
2025-03-21T20:22:35.8737906Z + eval set -- ' --skip_aarch64 --job_number '\''2'\'' --release --'
2025-03-21T20:22:35.8738358Z ++ set -- --skip_aarch64 --job_number 2 --release --
2025-03-21T20:22:35.8738697Z + true
2025-03-21T20:22:35.8738922Z + case "$1" in
2025-03-21T20:22:35.8739177Z + BUILD_AARCH64=false
2025-03-21T20:22:35.8739432Z + shift
2025-03-21T20:22:35.8739648Z + true
2025-03-21T20:22:35.8739855Z + case "$1" in
2025-03-21T20:22:35.8740093Z + BUILD_JOB_NUMBER=2
2025-03-21T20:22:35.8740346Z + shift 2
2025-03-21T20:22:35.8740564Z + true
2025-03-21T20:22:35.8740769Z + case "$1" in
2025-03-21T20:22:35.8741009Z + BUILD_TYPE=Release
2025-03-21T20:22:35.8741258Z + shift
2025-03-21T20:22:35.8741471Z + true
2025-03-21T20:22:35.8741687Z + case "$1" in
2025-03-21T20:22:35.8741911Z + shift
2025-03-21T20:22:35.8742124Z + break
2025-03-21T20:22:35.8742385Z +++ dirname backends/qualcomm/scripts/build.sh
2025-03-21T20:22:35.8742756Z ++ cd backends/qualcomm/scripts/../../..
2025-03-21T20:22:35.8743083Z ++ pwd -P
2025-03-21T20:22:35.8743318Z + PRJ_ROOT=/pytorch/executorch
2025-03-21T20:22:35.8743620Z + '[' false = true ']'
2025-03-21T20:22:35.8743878Z + '[' true = true ']'
2025-03-21T20:22:35.8744163Z + BUILD_ROOT=/pytorch/executorch/build-x86
2025-03-21T20:22:35.8744488Z + '[' true = true ']'
2025-03-21T20:22:35.8744769Z + rm -rf /pytorch/executorch/build-x86
2025-03-21T20:22:35.8745111Z + mkdir /pytorch/executorch/build-x86
2025-03-21T20:22:35.8745449Z + cd /pytorch/executorch/build-x86
2025-03-21T20:22:35.8747244Z + 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
2025-03-21T20:22:35.8749095Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:22:35.8749503Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:22:35.8749960Z -- Detecting C compiler ABI info
2025-03-21T20:22:35.8750296Z -- Detecting C compiler ABI info - done
2025-03-21T20:22:35.8750778Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:22:35.8751194Z -- Detecting C compile features
2025-03-21T20:22:35.8751521Z -- Detecting C compile features - done
2025-03-21T20:22:35.8751852Z -- Detecting CXX compiler ABI info
2025-03-21T20:22:35.8752195Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:22:35.8752623Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:22:35.8765347Z -- Detecting CXX compile features
2025-03-21T20:22:35.8765748Z -- Detecting CXX compile features - done
2025-03-21T20:22:35.8766697Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:35.8767441Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:35.8767895Z   CMake.
2025-03-21T20:22:35.8768038Z 
2025-03-21T20:22:35.8768292Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:35.8768877Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:35.8769384Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:35.8769649Z 
2025-03-21T20:22:35.8769779Z 
2025-03-21T20:22:35.8770403Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:35.8771163Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:35.8771604Z   CMake.
2025-03-21T20:22:35.8771730Z 
2025-03-21T20:22:35.8771977Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:35.8772556Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:35.8773051Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:35.8773327Z 
2025-03-21T20:22:35.8773445Z 
2025-03-21T20:22:35.8773702Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:22:35.8774154Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:22:35.8774539Z -- Found Threads: TRUE
2025-03-21T20:22:35.8775249Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:22:35.8776038Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:35.8776467Z   CMake.
2025-03-21T20:22:35.8776608Z 
2025-03-21T20:22:35.8776839Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:35.8777417Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:35.8777923Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:35.8778182Z 
2025-03-21T20:22:35.8778306Z 
2025-03-21T20:22:35.8778541Z -- Using python executable 'python'
2025-03-21T20:22:35.8778873Z -- Resolved buck2 as buck2.
2025-03-21T20:22:35.8779170Z -- Killing buck2 daemon
2025-03-21T20:22:35.8779440Z 'buck2 killall'
2025-03-21T20:22:35.8779714Z -- executorch: Generating source lists
2025-03-21T20:22:35.8780253Z -- executorch: Generating source file list /pytorch/executorch/build-x86/executorch_srcs.cmake
2025-03-21T20:22:35.8780964Z -- executorch: Using sources file /pytorch/executorch/build-x86/executorch_srcs.cmake
2025-03-21T20:22:35.8781488Z -- executorch: Using PAL default 'posix'
2025-03-21T20:22:35.8781837Z -- Generating operator lib:
2025-03-21T20:22:35.8782147Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:35.8782581Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:35.8783014Z --   ROOT_OPS: 
2025-03-21T20:22:35.8783267Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:35.8784526Z 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"
2025-03-21T20:22:35.8785799Z -- Generating kernel bindings:
2025-03-21T20:22:35.8786117Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:35.8786608Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:22:35.8787058Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:22:35.8787346Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:22:35.8789056Z 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
2025-03-21T20:22:35.8790546Z -- Generating operator lib:
2025-03-21T20:22:35.8790850Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:22:35.8791156Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:22:35.8791471Z --   DEPS: executorch
2025-03-21T20:22:35.8792051Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:22:35.8792731Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:35.8793170Z   CMake.
2025-03-21T20:22:35.8793294Z 
2025-03-21T20:22:35.8793544Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:35.8794113Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:40.2816806Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:40.2817288Z 
2025-03-21T20:22:40.2817657Z 
2025-03-21T20:22:40.2817898Z -- Looking for C++ include unistd.h
2025-03-21T20:22:40.2818323Z -- Looking for C++ include unistd.h - found
2025-03-21T20:22:40.2818684Z -- Looking for C++ include stdint.h
2025-03-21T20:22:40.2819085Z -- Looking for C++ include stdint.h - found
2025-03-21T20:22:40.2819447Z -- Looking for C++ include inttypes.h
2025-03-21T20:22:40.2819848Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:22:40.2820213Z -- Looking for C++ include sys/types.h
2025-03-21T20:22:40.2820649Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:22:40.2821029Z -- Looking for C++ include sys/stat.h
2025-03-21T20:22:40.2821437Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:22:40.2821806Z -- Looking for C++ include fnmatch.h
2025-03-21T20:22:40.2822188Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:22:40.2822559Z -- Looking for C++ include stddef.h
2025-03-21T20:22:40.2822939Z -- Looking for C++ include stddef.h - found
2025-03-21T20:22:40.2823295Z -- Check size of uint32_t
2025-03-21T20:22:40.2823631Z -- Check size of uint32_t - done
2025-03-21T20:22:40.2823936Z -- Looking for strtoll
2025-03-21T20:22:40.2824260Z -- Looking for strtoll - found
2025-03-21T20:22:40.2824761Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029
2025-03-21T20:22:40.2825222Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch
2025-03-21T20:22:40.2826014Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required):
2025-03-21T20:22:40.2826766Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:40.2827228Z   CMake.
2025-03-21T20:22:40.2827380Z 
2025-03-21T20:22:40.2827634Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:40.2828266Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:40.2828799Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:40.2829087Z 
2025-03-21T20:22:40.2829205Z 
2025-03-21T20:22:40.2829432Z -- pybind11 v2.13.6 
2025-03-21T20:22:40.2829951Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7")
2025-03-21T20:22:40.2830638Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so
2025-03-21T20:22:40.2831118Z -- Performing Test HAS_FLTO_THIN
2025-03-21T20:22:40.2831444Z -- Performing Test HAS_FLTO_THIN - Success
2025-03-21T20:22:40.2832157Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required):
2025-03-21T20:22:40.2833144Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:40.2833650Z   CMake.
2025-03-21T20:22:40.2833776Z 
2025-03-21T20:22:40.2834152Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:40.2834820Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:40.2835519Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:40.2835797Z 
2025-03-21T20:22:40.2835933Z 
2025-03-21T20:22:40.2836238Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-03-21T20:22:40.2836874Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-03-21T20:22:40.2837298Z -- Setting Clang compiler options
2025-03-21T20:22:40.2838029Z -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror
2025-03-21T20:22:40.2838887Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required):
2025-03-21T20:22:40.2839468Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:22:40.2839910Z   CMake.
2025-03-21T20:22:40.2840055Z 
2025-03-21T20:22:40.2840289Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:22:40.2840870Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:22:40.2841381Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:22:40.2841646Z 
2025-03-21T20:22:40.2841650Z 
2025-03-21T20:22:40.2841813Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:22:40.2842173Z -- Detecting C compiler ABI info
2025-03-21T20:22:40.2842591Z -- Detecting C compiler ABI info - done
2025-03-21T20:22:40.2843007Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:22:40.2843420Z -- Detecting C compile features
2025-03-21T20:22:40.2843749Z -- Detecting C compile features - done
2025-03-21T20:22:40.2844146Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-03-21T20:22:40.2844626Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-03-21T20:22:40.2845052Z -- Setting Clang compiler options
2025-03-21T20:22:40.2845770Z -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror
2025-03-21T20:22:40.2846501Z -- Configuring done (0.2s)
2025-03-21T20:22:40.2846789Z -- Generating done (0.0s)
2025-03-21T20:22:40.2847212Z -- Build files have been written to: /pytorch/executorch/build-x86/_host_build
2025-03-21T20:22:40.2847789Z [  3%] Building C object src/runtime/CMakeFiles/flatccrt.dir/builder.c.o
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2025-03-21T20:22:40.2851205Z [ 21%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatccrt.a
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2025-03-21T20:22:40.2866760Z [ 93%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatcc.a
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2025-03-21T20:22:40.2869010Z -- Generating operator lib:
2025-03-21T20:22:40.2869321Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:22:40.2869758Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:22:40.2870190Z --   ROOT_OPS: 
2025-03-21T20:22:40.2870441Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:22:40.2871769Z 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"
2025-03-21T20:22:40.2873021Z -- Generating kernel bindings:
2025-03-21T20:22:40.2873341Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:22:40.2873656Z --   FUNCTIONS_YAML: 
2025-03-21T20:22:40.2874055Z --   CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:22:40.2874505Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:22:40.2877687Z 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
2025-03-21T20:22:40.2880482Z -- Generating operator lib:
2025-03-21T20:22:40.2880789Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:22:40.2881113Z --   KERNEL_LIBS: quantized_kernels
2025-03-21T20:22:40.2881433Z --   DEPS: executorch
2025-03-21T20:22:40.2881772Z -- 
2025-03-21T20:22:40.2881995Z -- ******** Summary ********
2025-03-21T20:22:40.2882330Z --   CMAKE_BUILD_TYPE              : Release
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2025-03-21T20:22:40.2883524Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:22:40.2883857Z --   BUCK2                         : buck2
2025-03-21T20:22:40.2884204Z --   PYTHON_EXECUTABLE             : python
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2025-03-21T20:22:40.2887955Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:22:40.2888332Z --   EXECUTORCH_BUILD_DEVTOOLS              : ON
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2025-03-21T20:22:43.4377606Z --   EXECUTORCH_BUILD_FLATC                 : ON
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2025-03-21T20:22:43.4378783Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
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2025-03-21T20:22:43.4379554Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:22:43.4379943Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : ON
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2025-03-21T20:22:43.4383605Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:22:43.4383969Z -- Configuring done (11.9s)
2025-03-21T20:22:43.4384277Z -- Generating done (0.2s)
2025-03-21T20:22:43.4384666Z -- Build files have been written to: /pytorch/executorch/build-x86
2025-03-21T20:22:43.4385192Z + cmake --build /pytorch/executorch/build-x86 -j2 --target install
2025-03-21T20:22:43.4385900Z [  0%] Creating directories for 'flatbuffers'
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2025-03-21T20:22:43.4387801Z [  1%] No update step for 'flatbuffers'
2025-03-21T20:22:43.4388246Z [  1%] No patch step for 'flatbuffers'
2025-03-21T20:22:43.4388723Z [  1%] Performing configure step for 'flatbuffers'
2025-03-21T20:22:43.4389367Z CMake Warning:
2025-03-21T20:22:43.4389701Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:22:43.4389985Z 
2025-03-21T20:22:43.4390217Z 
2025-03-21T20:22:43.4390493Z fatal: No names found, cannot describe anything.
2025-03-21T20:22:43.4390969Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:22:43.4391371Z   git describe failed with exit code: 128
2025-03-21T20:22:43.4391607Z 
2025-03-21T20:22:43.4391782Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:22:43.4392188Z Call Stack (most recent call first):
2025-03-21T20:22:43.4392522Z   CMakeLists.txt:5 (include)
2025-03-21T20:22:43.4392706Z 
2025-03-21T20:22:43.4392828Z 
2025-03-21T20:22:43.4393061Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:22:43.4393433Z -- The CXX compiler identification is Clang 12.0.1
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2025-03-21T20:22:43.4396693Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:22:43.4397114Z -- Detecting CXX compile features
2025-03-21T20:22:43.4397449Z -- Detecting CXX compile features - done
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2025-03-21T20:22:43.4398632Z [  2%] Built target gflags_nothreads_static
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2025-03-21T20:22:43.4406637Z [  3%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatccrt.a
2025-03-21T20:22:43.4407184Z [  3%] Built target flatccrt
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2025-03-21T20:22:43.4408751Z -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024"
2025-03-21T20:22:43.4409132Z -- Configuring done (0.9s)
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2025-03-21T20:22:43.4410813Z -- Build files have been written to: /pytorch/executorch/build-x86/third-party/flatbuffers
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2025-03-21T20:23:40.4410215Z + 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
2025-03-21T20:23:40.4412345Z '/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'
2025-03-21T20:23:40.4414260Z '/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'
2025-03-21T20:23:40.4415580Z + cp -fv /pytorch/executorch/schema/program.fbs /pytorch/executorch/exir/_serialize/program.fbs
2025-03-21T20:23:40.4416356Z '/pytorch/executorch/schema/program.fbs' -> '/pytorch/executorch/exir/_serialize/program.fbs'
2025-03-21T20:23:40.4417149Z + cp -fv /pytorch/executorch/schema/scalar_type.fbs /pytorch/executorch/exir/_serialize/scalar_type.fbs
2025-03-21T20:23:40.4417975Z '/pytorch/executorch/schema/scalar_type.fbs' -> '/pytorch/executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:23:40.4418563Z + EXAMPLE_ROOT=examples/qualcomm
2025-03-21T20:23:40.4419224Z + CMAKE_PREFIX_PATH='/pytorch/executorch/build-x86/lib/cmake/ExecuTorch;/pytorch/executorch/build-x86/third-party/gflags;'
2025-03-21T20:23:40.4420165Z + echo 'Update tokenizers submodule...'
2025-03-21T20:23:40.4420505Z Update tokenizers submodule...
2025-03-21T20:23:40.4420859Z + pushd /pytorch/executorch/extension/llm/tokenizers
2025-03-21T20:23:40.4421400Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch/build-x86
2025-03-21T20:23:40.4421898Z + git submodule update --init
2025-03-21T20:23:40.4422558Z Submodule 'third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'third-party/abseil-cpp'
2025-03-21T20:23:40.4423509Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'third-party/json'
2025-03-21T20:23:40.4424565Z Submodule 'third-party/re2' (https://github.com/google/re2.git) registered for path 'third-party/re2'
2025-03-21T20:23:40.4425546Z Submodule 'third-party/sentencepiece' (https://github.com/google/sentencepiece.git) registered for path 'third-party/sentencepiece'
2025-03-21T20:23:40.4426478Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp'...
2025-03-21T20:23:40.4427183Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/json'...
2025-03-21T20:23:40.4427830Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/re2'...
2025-03-21T20:23:40.4428534Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece'...
2025-03-21T20:23:40.4429294Z Submodule path 'third-party/abseil-cpp': checked out '7d96b2e93d9a84530748b68abd2f97595c51ecf4'
2025-03-21T20:23:40.4430032Z Submodule path 'third-party/json': checked out 'e6cafa573aac6ed9227f752a5371c0b3f436307d'
2025-03-21T20:23:40.4431007Z Submodule path 'third-party/re2': checked out '6dcd83d60f7944926bfd308cc13979fc53dd69ca'
2025-03-21T20:23:40.4431837Z Submodule path 'third-party/sentencepiece': checked out 'd8f741853847553169444afc12c00f4bbff3e9ce'
2025-03-21T20:23:40.4432372Z + popd
2025-03-21T20:23:40.4432625Z /pytorch/executorch/build-x86
2025-03-21T20:23:40.4433980Z + 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
2025-03-21T20:23:40.4435695Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:23:40.4436108Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:23:40.4436494Z -- Detecting C compiler ABI info
2025-03-21T20:23:40.4436819Z -- Detecting C compiler ABI info - done
2025-03-21T20:23:40.4437285Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:23:40.4437776Z -- Detecting C compile features
2025-03-21T20:23:40.4438198Z -- Detecting C compile features - done
2025-03-21T20:23:40.4438573Z -- Detecting CXX compiler ABI info
2025-03-21T20:23:40.4439052Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:23:40.4439473Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:23:40.4439891Z -- Detecting CXX compile features
2025-03-21T20:23:40.4440219Z -- Detecting CXX compile features - done
2025-03-21T20:23:40.4440867Z CMake Warning (dev) at CMakeLists.txt:31 (find_package):
2025-03-21T20:23:40.4441412Z   Policy CMP0144 is not set: find_package uses upper-case <PACKAGENAME>_ROOT
2025-03-21T20:23:40.4441988Z   variables.  Run "cmake --help-policy CMP0144" for policy details.  Use the
2025-03-21T20:23:40.4442614Z   cmake_policy command to set the policy and suppress this warning.
2025-03-21T20:23:40.4442943Z 
2025-03-21T20:23:40.4443084Z   CMake variable EXECUTORCH_ROOT is set to:
2025-03-21T20:23:40.4443316Z 
2025-03-21T20:23:40.4443468Z     /pytorch/executorch/examples/qualcomm/../..
2025-03-21T20:23:40.4443710Z 
2025-03-21T20:23:40.4443877Z   Environment variable EXECUTORCH_ROOT is set to:
2025-03-21T20:23:40.4444131Z 
2025-03-21T20:23:40.4444253Z     /pytorch/executorch
2025-03-21T20:23:40.4444417Z 
2025-03-21T20:23:40.4444653Z   For compatibility, find_package is ignoring the variable, but code in a
2025-03-21T20:23:40.4445119Z   .cmake module might still use it.
2025-03-21T20:23:40.4445552Z This warning is for project developers.  Use -Wno-dev to suppress it.
2025-03-21T20:23:40.4446009Z 
2025-03-21T20:23:40.4446306Z coremldelegate library is not found.
2025-03-21T20:23:40.4446810Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:40.4447298Z mpsdelegate library is not found.
2025-03-21T20:23:40.4447794Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:40.4448286Z neuron_backend library is not found.
2025-03-21T20:23:40.4448789Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:40.4449272Z custom_ops library is not found.
2025-03-21T20:23:40.4449751Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:40.4450266Z extension_runner_util library is not found.
2025-03-21T20:23:40.4450795Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:40.4451294Z extension_training library is not found.
2025-03-21T20:23:40.4451810Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:40.4452292Z xnnpack_backend library is not found.
2025-03-21T20:23:40.4452797Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:40.4453269Z XNNPACK library is not found.
2025-03-21T20:23:40.4453747Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9831988Z microkernels-prod library is not found.
2025-03-21T20:23:43.9834000Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9834851Z kleidiai library is not found.
2025-03-21T20:23:43.9835696Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9836392Z vulkan_backend library is not found.
2025-03-21T20:23:43.9836904Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9837412Z optimized_kernels library is not found.
2025-03-21T20:23:43.9837935Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9838415Z cpublas library is not found.
2025-03-21T20:23:43.9838902Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9839372Z eigen_blas library is not found.
2025-03-21T20:23:43.9839865Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9840380Z optimized_ops_lib library is not found.
2025-03-21T20:23:43.9840899Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9841442Z optimized_native_cpu_ops_lib library is not found.
2025-03-21T20:23:43.9841987Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9842500Z quantized_ops_aot_lib library is not found.
2025-03-21T20:23:43.9843142Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:23:43.9843871Z -- executorch: Using source file list /pytorch/executorch/build-x86/examples/qualcomm/../../executorch_srcs.cmake
2025-03-21T20:23:43.9844510Z -- Generating operator lib:
2025-03-21T20:23:43.9844825Z --   LIB_NAME: full_portable_ops_lib
2025-03-21T20:23:43.9845133Z --   OPS_SCHEMA_YAML: 
2025-03-21T20:23:43.9845399Z --   ROOT_OPS: 
2025-03-21T20:23:43.9845653Z --   INCLUDE_ALL_OPS: ON
2025-03-21T20:23:43.9846695Z 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
2025-03-21T20:23:43.9847631Z -- Generating kernel bindings:
2025-03-21T20:23:43.9847936Z --   LIB_NAME: full_portable_ops_lib
2025-03-21T20:23:43.9848491Z --   FUNCTIONS_YAML: /pytorch/executorch/examples/qualcomm/../../kernels/portable/functions.yaml
2025-03-21T20:23:43.9849048Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:23:43.9849332Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:23:43.9849656Z -- Generating operator lib:
2025-03-21T20:23:43.9849951Z --   LIB_NAME: full_portable_ops_lib
2025-03-21T20:23:43.9850282Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:23:43.9850596Z --   DEPS: executorch
2025-03-21T20:23:43.9850907Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17
2025-03-21T20:23:43.9851336Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success
2025-03-21T20:23:43.9851752Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20
2025-03-21T20:23:43.9852181Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed
2025-03-21T20:23:43.9852593Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:23:43.9852996Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:23:43.9853369Z -- Found Threads: TRUE
2025-03-21T20:23:43.9854103Z CMake Warning at /pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp/CMakeLists.txt:177 (message):
2025-03-21T20:23:43.9855375Z     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.    
2025-03-21T20:23:43.9856194Z 
2025-03-21T20:23:43.9856306Z 
2025-03-21T20:23:43.9856543Z -- Configuring done (1.4s)
2025-03-21T20:23:43.9856844Z -- Generating done (0.3s)
2025-03-21T20:23:43.9857296Z -- Build files have been written to: /pytorch/executorch/build-x86/examples/qualcomm
2025-03-21T20:23:43.9857796Z + cmake --build examples/qualcomm -j2
2025-03-21T20:23:43.9858528Z [  1%] Generating selected_operators.yaml for full_portable_ops_lib
2025-03-21T20:23:43.9859389Z [  1%] Building CXX object abseil-cpp/absl/base/CMakeFiles/log_severity.dir/log_severity.cc.o
2025-03-21T20:23:43.9860114Z [  2%] Linking CXX static library libabsl_log_severity.a
2025-03-21T20:23:43.9860535Z [  2%] Built target log_severity
2025-03-21T20:23:43.9860961Z [  2%] Generating code for kernel registration
2025-03-21T20:23:43.9861711Z [  3%] Building CXX object abseil-cpp/absl/base/CMakeFiles/spinlock_wait.dir/internal/spinlock_wait.cc.o
2025-03-21T20:23:43.9862480Z [  3%] Linking CXX static library libabsl_spinlock_wait.a
2025-03-21T20:23:43.9862899Z [  3%] Built target spinlock_wait
2025-03-21T20:23:43.9863541Z [  4%] Building CXX object abseil-cpp/absl/base/CMakeFiles/strerror.dir/internal/strerror.cc.o
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2025-03-21T20:23:45.8597819Z [ 15%] Building CXX object abseil-cpp/absl/types/CMakeFiles/bad_optional_access.dir/bad_optional_access.cc.o
2025-03-21T20:23:45.8599078Z [ 16%] Building CXX object executor_runner/CMakeFiles/qnn_executor_runner.dir/pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp.o
2025-03-21T20:23:45.8600084Z [ 17%] Linking CXX static library libabsl_bad_optional_access.a
2025-03-21T20:23:45.8600544Z [ 17%] Built target bad_optional_access
2025-03-21T20:23:45.8601301Z [ 17%] Building CXX object abseil-cpp/absl/strings/CMakeFiles/cordz_functions.dir/internal/cordz_functions.cc.o
2025-03-21T20:23:45.8602174Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9:
2025-03-21T20:23:45.8603133Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14:
2025-03-21T20:23:45.8604501Z /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]
2025-03-21T20:23:45.8605637Z       const NamedDataMap* named_data_map = nullptr)
2025-03-21T20:23:45.8605998Z             ^
2025-03-21T20:23:45.8606718Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here
2025-03-21T20:23:45.8607543Z class ET_EXPERIMENTAL NamedDataMap {
2025-03-21T20:23:45.8607864Z       ^
2025-03-21T20:23:45.8608501Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL'
2025-03-21T20:23:45.8609343Z   [[deprecated("This API is experimental and may change without notice.")]]
2025-03-21T20:23:45.8609777Z     ^
2025-03-21T20:23:45.8610245Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9:
2025-03-21T20:23:45.8611093Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14:
2025-03-21T20:23:45.8612448Z /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]
2025-03-21T20:23:45.8613556Z   const NamedDataMap* get_named_data_map() const {
2025-03-21T20:23:45.8613900Z         ^
2025-03-21T20:23:45.8614611Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here
2025-03-21T20:23:45.8615425Z class ET_EXPERIMENTAL NamedDataMap {
2025-03-21T20:23:45.8615739Z       ^
2025-03-21T20:23:45.8616372Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL'
2025-03-21T20:23:45.8617230Z   [[deprecated("This API is experimental and may change without notice.")]]
2025-03-21T20:23:45.8617664Z     ^
2025-03-21T20:23:45.8618134Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9:
2025-03-21T20:23:45.8618979Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14:
2025-03-21T20:23:45.8620337Z /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]
2025-03-21T20:23:45.8621443Z   const NamedDataMap* named_data_map_ = nullptr;
2025-03-21T20:23:45.8621794Z         ^
2025-03-21T20:23:45.8622486Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here
2025-03-21T20:23:45.8623378Z class ET_EXPERIMENTAL NamedDataMap {
2025-03-21T20:23:45.8623697Z       ^
2025-03-21T20:23:45.8624644Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL'
2025-03-21T20:23:45.8625742Z   [[deprecated("This API is experimental and may change without notice.")]]
2025-03-21T20:23:45.8626171Z     ^
2025-03-21T20:23:45.8626408Z 3 warnings generated.
2025-03-21T20:23:45.8626876Z [ 17%] Linking CXX executable qnn_executor_runner
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2025-03-21T20:23:58.0101693Z [ 91%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/sampler/sampler.cpp.o
2025-03-21T20:23:58.0103008Z [ 91%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama2_7b_runner.dir/pytorch/executorch/extension/llm/tokenizer/tiktoken.cpp.o
2025-03-21T20:23:58.0104333Z [ 91%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/tokenizer/tiktoken.cpp.o
2025-03-21T20:23:58.0105740Z [ 91%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama2_7b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/bpe_tokenizer_base.cpp.o
2025-03-21T20:23:58.0107215Z [ 91%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/bpe_tokenizer_base.cpp.o
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2025-03-21T20:23:58.0110148Z [ 93%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o
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2025-03-21T20:23:58.0118378Z [ 95%] Building CXX object oss_scripts/llama/CMakeFiles/qnn_llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o
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2025-03-21T20:24:03.9853735Z [ 96%] Building CXX object qaihub_scripts/stable_diffusion/CMakeFiles/qaihub_stable_diffusion_runner.dir/qaihub_stable_diffusion_runner.cpp.o
2025-03-21T20:24:03.9855914Z [ 96%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/examples/models/llama/tokenizer/llama_tiktoken.cpp.o
2025-03-21T20:24:03.9857303Z [ 96%] Building CXX object qaihub_scripts/stable_diffusion/CMakeFiles/qaihub_stable_diffusion_runner.dir/runner/runner.cpp.o
2025-03-21T20:24:03.9858577Z [ 96%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:24:03.9859935Z [ 97%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/sampler/sampler.cpp.o
2025-03-21T20:24:03.9860931Z [ 98%] Linking CXX executable qaihub_stable_diffusion_runner
2025-03-21T20:24:03.9861385Z [ 98%] Built target qaihub_stable_diffusion_runner
2025-03-21T20:24:03.9862330Z [ 98%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizer/tiktoken.cpp.o
2025-03-21T20:24:03.9863781Z [ 98%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/bpe_tokenizer_base.cpp.o
2025-03-21T20:24:03.9865294Z [ 99%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o
2025-03-21T20:24:03.9866757Z [ 99%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/tiktoken.cpp.o
2025-03-21T20:24:03.9868120Z [ 99%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr.cpp.o
2025-03-21T20:24:03.9869473Z [100%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o
2025-03-21T20:24:03.9870403Z [100%] Linking CXX executable qaihub_llama3_8b_runner
2025-03-21T20:24:03.9871028Z [100%] Built target qaihub_llama3_8b_runner
2025-03-21T20:24:03.9871359Z + set_up_aot
2025-03-21T20:24:03.9871702Z + cd /pytorch/executorch
2025-03-21T20:24:03.9871994Z + '[' '!' -d cmake-out ']'
2025-03-21T20:24:03.9872261Z + mkdir cmake-out
2025-03-21T20:24:03.9872519Z + pushd cmake-out
2025-03-21T20:24:03.9872822Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:24:03.9874410Z + 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
2025-03-21T20:24:03.9875963Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:24:03.9876367Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:24:03.9876748Z -- Detecting C compiler ABI info
2025-03-21T20:24:03.9877074Z -- Detecting C compiler ABI info - done
2025-03-21T20:24:03.9877494Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:24:03.9878005Z -- Detecting C compile features
2025-03-21T20:24:03.9878332Z -- Detecting C compile features - done
2025-03-21T20:24:03.9878750Z -- Detecting CXX compiler ABI info
2025-03-21T20:24:03.9879075Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:24:03.9879496Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:24:03.9879914Z -- Detecting CXX compile features
2025-03-21T20:24:03.9880247Z -- Detecting CXX compile features - done
2025-03-21T20:24:03.9881001Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:03.9881734Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:03.9882177Z   CMake.
2025-03-21T20:24:03.9882318Z 
2025-03-21T20:24:03.9882626Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:03.9883216Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:03.9883724Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:03.9883988Z 
2025-03-21T20:24:03.9884121Z 
2025-03-21T20:24:03.9884738Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:03.9885492Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:03.9885955Z   CMake.
2025-03-21T20:24:03.9886078Z 
2025-03-21T20:24:03.9886325Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:03.9886892Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:03.9887399Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:03.9887676Z 
2025-03-21T20:24:03.9887787Z 
2025-03-21T20:24:03.9888055Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:24:03.9888456Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:24:03.9888821Z -- Found Threads: TRUE
2025-03-21T20:24:03.9889530Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:24:03.9890308Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:03.9890751Z   CMake.
2025-03-21T20:24:03.9890876Z 
2025-03-21T20:24:03.9891122Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:03.9891701Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:03.9892193Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:03.9892470Z 
2025-03-21T20:24:03.9892583Z 
2025-03-21T20:24:03.9892829Z -- Using python executable 'python3'
2025-03-21T20:24:03.9893160Z -- Resolved buck2 as buck2.
2025-03-21T20:24:03.9893454Z -- Killing buck2 daemon
2025-03-21T20:24:03.9893820Z 'buck2 killall'
2025-03-21T20:24:03.9894098Z -- executorch: Generating source lists
2025-03-21T20:24:03.9894706Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:24:03.9895411Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:24:03.9895928Z -- executorch: Using PAL default 'posix'
2025-03-21T20:24:03.9896259Z -- Generating operator lib:
2025-03-21T20:24:03.9896562Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:03.9896986Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:24:03.9897423Z --   ROOT_OPS: 
2025-03-21T20:24:03.9897672Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:24:03.9898925Z 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"
2025-03-21T20:24:03.9900066Z -- Generating kernel bindings:
2025-03-21T20:24:03.9900379Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:03.9900810Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:24:03.9901258Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:24:03.9901548Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:24:03.9903244Z Generated files /pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/pytorch/executorch/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h
2025-03-21T20:24:03.9904734Z -- Generating operator lib:
2025-03-21T20:24:03.9905037Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:24:03.9905350Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:24:03.9905658Z --   DEPS: executorch
2025-03-21T20:24:03.9906241Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:24:03.9906914Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:03.9907351Z   CMake.
2025-03-21T20:24:03.9907486Z 
2025-03-21T20:24:03.9907722Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:03.9908297Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:03.9908801Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:03.9909063Z 
2025-03-21T20:24:03.9909186Z 
2025-03-21T20:24:03.9909415Z -- Looking for C++ include unistd.h
2025-03-21T20:24:03.9909767Z -- Looking for C++ include unistd.h - found
2025-03-21T20:24:03.9910119Z -- Looking for C++ include stdint.h
2025-03-21T20:24:03.9910456Z -- Looking for C++ include stdint.h - found
2025-03-21T20:24:03.9910808Z -- Looking for C++ include inttypes.h
2025-03-21T20:24:03.9911146Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:24:03.9911509Z -- Looking for C++ include sys/types.h
2025-03-21T20:24:03.9911869Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:24:03.9912231Z -- Looking for C++ include sys/stat.h
2025-03-21T20:24:03.9912578Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:24:03.9912922Z -- Looking for C++ include fnmatch.h
2025-03-21T20:24:03.9913263Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:24:03.9913609Z -- Looking for C++ include stddef.h
2025-03-21T20:24:03.9913943Z -- Looking for C++ include stddef.h - found
2025-03-21T20:24:03.9914282Z -- Check size of uint32_t
2025-03-21T20:24:03.9914562Z -- Check size of uint32_t - done
2025-03-21T20:24:03.9914861Z -- Looking for strtoll
2025-03-21T20:24:03.9915138Z -- Looking for strtoll - found
2025-03-21T20:24:03.9915458Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029
2025-03-21T20:24:03.9915838Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch
2025-03-21T20:24:03.9916515Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required):
2025-03-21T20:24:03.9917197Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:03.9917726Z   CMake.
2025-03-21T20:24:03.9917851Z 
2025-03-21T20:24:03.9918155Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:03.9918736Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:03.9919229Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:03.9919504Z 
2025-03-21T20:24:03.9919614Z 
2025-03-21T20:24:03.9919840Z -- pybind11 v2.13.6 
2025-03-21T20:24:03.9920307Z -- Found PythonInterp: python3 (found suitable version "3.10.16", minimum required is "3.7")
2025-03-21T20:24:03.9920931Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so
2025-03-21T20:24:03.9921363Z -- Performing Test HAS_FLTO_THIN
2025-03-21T20:24:03.9921683Z -- Performing Test HAS_FLTO_THIN - Success
2025-03-21T20:24:03.9922327Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required):
2025-03-21T20:24:03.9923079Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:24:03.9923526Z   CMake.
2025-03-21T20:24:03.9923648Z 
2025-03-21T20:24:03.9923900Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:24:03.9924689Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:24:03.9925197Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:24:03.9925474Z 
2025-03-21T20:24:03.9925593Z 
2025-03-21T20:24:03.9925897Z -- dist install dir /pytorch/executorch/third-party/flatcc
2025-03-21T20:24:03.9926372Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib
2025-03-21T20:24:03.9926788Z -- Setting Clang compiler options
2025-03-21T20:24:07.0398259Z -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror
2025-03-21T20:24:07.0399613Z -- 
2025-03-21T20:24:07.0399989Z -- ******** Summary ********
2025-03-21T20:24:07.0400561Z --   CMAKE_BUILD_TYPE              : Debug
2025-03-21T20:24:07.0401125Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:24:07.0401772Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:24:07.0402333Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:24:07.0402969Z --   BUCK2                         : buck2
2025-03-21T20:24:07.0403526Z --   PYTHON_EXECUTABLE             : python3
2025-03-21T20:24:07.0404398Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:24:07.0405319Z --   EXECUTORCH_ENABLE_LOGGING              : ON
2025-03-21T20:24:07.0405959Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : ON
2025-03-21T20:24:07.0406648Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:24:07.0407310Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:24:07.0407976Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:24:07.0408639Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:24:07.0409302Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:24:07.0409952Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:24:07.0410622Z --   EXECUTORCH_BUILD_DEVTOOLS              : ON
2025-03-21T20:24:07.0411228Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:24:07.0411851Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON
2025-03-21T20:24:07.0412497Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON
2025-03-21T20:24:07.0413104Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:24:07.0413709Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : ON
2025-03-21T20:24:07.0414366Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:24:07.0415067Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : ON
2025-03-21T20:24:07.0415751Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:24:07.0416415Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:24:07.0417072Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:24:07.0418036Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:24:07.0418704Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:24:07.0419546Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:24:07.0420225Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:24:07.0420896Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:24:07.0421555Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:24:07.0422204Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:24:07.0422840Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:24:07.0423458Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:24:07.0424072Z --   EXECUTORCH_BUILD_QNN                   : ON
2025-03-21T20:24:07.0424953Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:24:07.0425626Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:24:07.0426286Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:24:07.0426917Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:24:07.0427518Z -- Configuring done (4.9s)
2025-03-21T20:24:07.0428033Z -- Generating done (0.2s)
2025-03-21T20:24:07.0428713Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:24:07.0429463Z ++ nproc
2025-03-21T20:24:07.0430357Z + cmake --build /pytorch/executorch/cmake-out --target PyQnnManagerAdaptor PyQnnWrapperAdaptor -j8
2025-03-21T20:24:07.0431844Z [  0%] Creating directories for 'flatbuffers'
2025-03-21T20:24:07.0432723Z [  0%] No download step for 'flatbuffers'
2025-03-21T20:24:07.0433532Z [  0%] No update step for 'flatbuffers'
2025-03-21T20:24:07.0434341Z [  0%] No patch step for 'flatbuffers'
2025-03-21T20:24:07.0435232Z [  0%] Performing configure step for 'flatbuffers'
2025-03-21T20:24:07.0435980Z CMake Warning:
2025-03-21T20:24:07.0436527Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:24:07.0437038Z 
2025-03-21T20:24:07.0437223Z 
2025-03-21T20:24:07.0437656Z fatal: No names found, cannot describe anything.
2025-03-21T20:24:07.0438476Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:24:07.0439115Z   git describe failed with exit code: 128
2025-03-21T20:24:07.0439508Z 
2025-03-21T20:24:07.0439819Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:24:07.0440480Z Call Stack (most recent call first):
2025-03-21T20:24:07.0440988Z   CMakeLists.txt:5 (include)
2025-03-21T20:24:07.0441284Z 
2025-03-21T20:24:07.0441509Z 
2025-03-21T20:24:07.0441899Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:24:07.0442569Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:24:07.0443191Z -- Detecting CXX compiler ABI info
2025-03-21T20:24:07.0443757Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:24:07.0444520Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:24:07.0445259Z -- Detecting CXX compile features
2025-03-21T20:24:07.0445861Z -- Detecting CXX compile features - done
2025-03-21T20:24:07.0446455Z -- Looking for strtof_l
2025-03-21T20:24:07.0446929Z -- Looking for strtof_l - found
2025-03-21T20:24:07.0447475Z -- Looking for strtoull_l
2025-03-21T20:24:07.0447979Z -- Looking for strtoull_l - found
2025-03-21T20:24:07.0448521Z -- Looking for realpath
2025-03-21T20:24:07.0448996Z -- Looking for realpath - found
2025-03-21T20:24:07.0449601Z -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024"
2025-03-21T20:24:07.0450277Z -- Configuring done (0.9s)
2025-03-21T20:24:07.0450779Z -- Generating done (0.0s)
2025-03-21T20:24:07.0451589Z -- Build files have been written to: /pytorch/executorch/cmake-out/third-party/flatbuffers
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2025-03-21T20:24:07.0497024Z [100%] Linking CXX executable flatc
2025-03-21T20:24:07.0497562Z [100%] Built target flatc
2025-03-21T20:24:07.0498303Z [  6%] No install step for 'flatbuffers'
2025-03-21T20:24:07.0498925Z [  6%] Completed 'flatbuffers'
2025-03-21T20:24:07.0499511Z [  6%] Built target flatbuffers
2025-03-21T20:24:07.0500068Z [  6%] Generating common_schema headers
2025-03-21T20:24:07.0500728Z [ 12%] Generating qualcomm ir schema headers
2025-03-21T20:24:07.0501391Z [ 18%] Generating qnn_schema headers
2025-03-21T20:24:07.0501892Z [ 18%] Built target common_schema
2025-03-21T20:24:07.0502330Z [ 18%] Built target qcir
2025-03-21T20:24:07.0502715Z [ 18%] Built target qnn_schema
2025-03-21T20:24:07.0503264Z [ 18%] Generating program_schema headers
2025-03-21T20:24:07.0504298Z [ 18%] Building CXX object backends/qualcomm/CMakeFiles/qcir_utils.dir/aot/ir/qcir_utils.cpp.o
2025-03-21T20:24:07.0505754Z [ 18%] Building CXX object backends/qualcomm/CMakeFiles/qnn_executorch_logging.dir/runtime/Logging.cpp.o
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2025-03-21T20:24:07.0507593Z [ 18%] Building CXX object CMakeFiles/executorch_core.dir/runtime/backend/interface.cpp.o
2025-03-21T20:24:07.0508813Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/evalue.cpp.o
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2025-03-21T20:24:07.0512122Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/exec_aten/util/tensor_util_portable.cpp.o
2025-03-21T20:24:07.0513882Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/portable_type/tensor_impl.cpp.o
2025-03-21T20:24:10.0399244Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/tag.cpp.o
2025-03-21T20:24:10.0400210Z [ 25%] Building CXX object CMakeFiles/executorch_core.dir/runtime/core/tensor_layout.cpp.o
2025-03-21T20:24:10.0401088Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/method.cpp.o
2025-03-21T20:24:10.0401832Z [ 31%] Linking CXX static library libqnn_executorch_logging.a
2025-03-21T20:24:10.0402471Z [ 31%] Linking CXX static library libqcir_utils.a
2025-03-21T20:24:10.0402871Z [ 31%] Built target qnn_executorch_logging
2025-03-21T20:24:10.0403530Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/method_meta.cpp.o
2025-03-21T20:24:10.0404377Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/program.cpp.o
2025-03-21T20:24:10.0405227Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/pte_data_map.cpp.o
2025-03-21T20:24:10.0405788Z [ 31%] Built target qcir_utils
2025-03-21T20:24:10.0406516Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/tensor_parser_exec_aten.cpp.o
2025-03-21T20:24:10.0407647Z [ 31%] Building CXX object backends/qualcomm/CMakeFiles/qnn_implementation.dir/runtime/backends/QnnImplementation.cpp.o
2025-03-21T20:24:10.0408849Z [ 31%] Building CXX object CMakeFiles/executorch_core.dir/runtime/executor/tensor_parser_portable.cpp.o
2025-03-21T20:24:10.0409841Z [ 37%] Building CXX object CMakeFiles/executorch_core.dir/runtime/kernel/operator_registry.cpp.o
2025-03-21T20:24:10.0410759Z [ 37%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/abort.cpp.o
2025-03-21T20:24:10.0411640Z [ 37%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/log.cpp.o
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2025-03-21T20:24:10.0413847Z [ 37%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/profiler.cpp.o
2025-03-21T20:24:10.0414976Z [ 43%] Building CXX object backends/qualcomm/CMakeFiles/qnn_custom_protocol.dir/runtime/backends/QnnCustomProtocol.cpp.o
2025-03-21T20:24:10.0416413Z [ 43%] Building CXX object backends/qualcomm/CMakeFiles/qnn_profiler.dir/runtime/backends/QnnProfiler.cpp.o
2025-03-21T20:24:10.0417491Z [ 43%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/runtime.cpp.o
2025-03-21T20:24:10.0418266Z [ 43%] Linking CXX static library libqnn_implementation.a
2025-03-21T20:24:10.0419021Z [ 43%] Building CXX object CMakeFiles/executorch_core.dir/schema/extended_header.cpp.o
2025-03-21T20:24:10.0419630Z [ 43%] Built target qnn_implementation
2025-03-21T20:24:10.0420289Z [ 50%] Building CXX object backends/qualcomm/CMakeFiles/utils.dir/runtime/Utils.cpp.o
2025-03-21T20:24:10.0421204Z [ 56%] Building CXX object CMakeFiles/executorch_core.dir/runtime/platform/default/posix.cpp.o
2025-03-21T20:24:10.0422191Z [ 56%] Building CXX object backends/qualcomm/CMakeFiles/shared_buffer.dir/runtime/SharedBuffer.cpp.o
2025-03-21T20:24:10.0423291Z [ 56%] Building CXX object backends/qualcomm/CMakeFiles/wrappers.dir/aot/wrappers/TensorWrapper.cpp.o
2025-03-21T20:24:10.0424586Z [ 56%] Building CXX object backends/qualcomm/CMakeFiles/wrappers.dir/aot/wrappers/QuantizeParamsWrapper.cpp.o
2025-03-21T20:24:10.0425470Z [ 56%] Linking CXX static library libexecutorch_core.a
2025-03-21T20:24:10.0426120Z [ 56%] Linking CXX static library libqnn_sys_implementation.a
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2025-03-21T20:24:10.0427350Z [ 56%] Building CXX object backends/qualcomm/CMakeFiles/qnn_logger.dir/runtime/backends/QnnLogger.cpp.o
2025-03-21T20:24:10.0428130Z [ 56%] Linking CXX static library libutils.a
2025-03-21T20:24:10.0428573Z [ 56%] Built target executorch_core
2025-03-21T20:24:10.0429105Z [ 56%] Linking CXX static library libqnn_custom_protocol.a
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2025-03-21T20:24:10.0468352Z [100%] Linking CXX static library libqnn_manager.a
2025-03-21T20:24:10.0468747Z [100%] Built target qnn_manager
2025-03-21T20:24:10.0469513Z [100%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnManagerAdaptor.dir/aot/python/PyQnnManagerAdaptor.cpp.o
2025-03-21T20:24:10.0470512Z [100%] Linking CXX shared module PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so
2025-03-21T20:24:10.0471073Z [100%] Built target PyQnnManagerAdaptor
2025-03-21T20:24:10.0471529Z [ 33%] Built target flatbuffers
2025-03-21T20:24:10.0471836Z [ 66%] Built target qnn_schema
2025-03-21T20:24:10.0472140Z [ 66%] Built target qnn_executorch_logging
2025-03-21T20:24:10.0472572Z [100%] Built target wrappers
2025-03-21T20:24:10.0473357Z [100%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/python/PyQnnWrapperAdaptor.cpp.o
2025-03-21T20:24:18.2301205Z [100%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/wrappers/TensorWrapper.cpp.o
2025-03-21T20:24:18.2302246Z [100%] Linking CXX shared module PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so
2025-03-21T20:24:18.2302803Z [100%] Built target PyQnnWrapperAdaptor
2025-03-21T20:24:18.2303512Z + cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python
2025-03-21T20:24:18.2304602Z + cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python
2025-03-21T20:24:18.2305352Z + popd
2025-03-21T20:24:18.2305585Z /pytorch/executorch
2025-03-21T20:24:18.2305909Z + cp schema/program.fbs exir/_serialize/program.fbs
2025-03-21T20:24:18.2306348Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
2025-03-21T20:24:18.2306755Z + PYTHON_EXECUTABLE=python
2025-03-21T20:24:18.2307100Z + bash .ci/scripts/setup-linux.sh --build-tool cmake
2025-03-21T20:24:18.2307496Z ++ dirname .ci/scripts/setup-linux.sh
2025-03-21T20:24:18.2307830Z + source .ci/scripts/utils.sh
2025-03-21T20:24:18.2308135Z + read -r BUILD_TOOL BUILD_MODE EDITABLE
2025-03-21T20:24:18.2308482Z ++ parse_args --build-tool cmake
2025-03-21T20:24:18.2308828Z ++ args=('--build-tool' 'cmake')
2025-03-21T20:24:18.2309164Z ++ local args
2025-03-21T20:24:18.2309411Z ++ local i
2025-03-21T20:24:18.2309643Z ++ local BUILD_TOOL=
2025-03-21T20:24:18.2309907Z ++ local BUILD_MODE=
2025-03-21T20:24:18.2310156Z ++ local EDITABLE=
2025-03-21T20:24:18.2310479Z ++ (( i=0 ))
2025-03-21T20:24:18.2310745Z ++ (( i<2 ))
2025-03-21T20:24:18.2311003Z ++ case "${args[$i]}" in
2025-03-21T20:24:18.2311279Z ++ BUILD_TOOL=cmake
2025-03-21T20:24:18.2311512Z ++ i=1
2025-03-21T20:24:18.2311749Z ++ (( i++ ))
2025-03-21T20:24:18.2311982Z ++ (( i<2 ))
2025-03-21T20:24:18.2312222Z ++ '[' -z cmake ']'
2025-03-21T20:24:18.2312472Z ++ [[ cmake =~ ^(cmake|buck2)$ ]]
2025-03-21T20:24:18.2312780Z ++ BUILD_MODE=Release
2025-03-21T20:24:18.2313061Z ++ [[ Release =~ ^(Debug|Release)$ ]]
2025-03-21T20:24:18.2313378Z ++ EDITABLE=false
2025-03-21T20:24:18.2313639Z ++ [[ false =~ ^(true|false)$ ]]
2025-03-21T20:24:18.2313932Z ++ echo 'cmake Release false'
2025-03-21T20:24:18.2314233Z + [[ false == \t\r\u\e ]]
2025-03-21T20:24:18.2314548Z + install_executorch --use-pt-pinned-commit
2025-03-21T20:24:18.2314893Z + which pip
2025-03-21T20:24:18.2315143Z /opt/conda/envs/py_3.10/bin/pip
2025-03-21T20:24:18.2315541Z + ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit
2025-03-21T20:24:18.2316089Z 2025-03-21 20:24:10,874 [ExecuTorch] INFO: All required submodules are present.
2025-03-21T20:24:18.2316762Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:24:18.2317585Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed)
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2025-03-21T20:24:18.2321682Z 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)
2025-03-21T20:24:18.2322994Z 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)
2025-03-21T20:24:18.2324789Z Requirement already satisfied: cmake>=3.19 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 1)) (3.31.6)
2025-03-21T20:24:18.2325932Z 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)
2025-03-21T20:24:18.2327048Z Requirement already satisfied: pyyaml in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 3)) (6.0.1)
2025-03-21T20:24:18.2328209Z Requirement already satisfied: setuptools>=63 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 4)) (75.8.0)
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2025-03-21T20:24:18.2330485Z 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)
2025-03-21T20:24:18.2331606Z 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)
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2025-03-21T20:24:18.2340932Z 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)
2025-03-21T20:24:18.2342315Z 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)
2025-03-21T20:24:18.2343685Z 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)
2025-03-21T20:24:18.2344892Z 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)
2025-03-21T20:24:18.2345870Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3)
2025-03-21T20:24:18.2346801Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2)
2025-03-21T20:24:18.2347716Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6)
2025-03-21T20:24:18.2348628Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (2025.3.0)
2025-03-21T20:24:18.2349596Z 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)
2025-03-21T20:24:18.2350710Z 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)
2025-03-21T20:24:18.2351809Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2)
2025-03-21T20:24:18.2353093Z 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)
2025-03-21T20:24:18.2354573Z 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)
2025-03-21T20:24:18.2356000Z 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)
2025-03-21T20:24:18.2357480Z 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)
2025-03-21T20:24:18.2358404Z Processing ./third-party/ao
2025-03-21T20:24:18.2358876Z   Preparing metadata (setup.py) ... [?25l- done
2025-03-21T20:24:18.2359358Z [?25hBuilding wheels for collected packages: torchao
2025-03-21T20:24:18.2359894Z   Building wheel for torchao (setup.py) ... [?25l- \ | done
2025-03-21T20:24:18.2360999Z [?25h  Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=6fb85f9eb1199880a68423effd3dd0016f8b87d80d117c5b7d36e6f13e1f2ab6
2025-03-21T20:24:18.2362202Z   Stored in directory: /tmp/pip-ephem-wheel-cache-y3wctezf/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f
2025-03-21T20:24:18.2362974Z Successfully built torchao
2025-03-21T20:24:18.2363288Z Installing collected packages: torchao
2025-03-21T20:24:18.2363640Z   Attempting uninstall: torchao
2025-03-21T20:24:18.2363995Z     Found existing installation: torchao 0.10.0+git64bcf4c
2025-03-21T20:24:18.2364413Z     Uninstalling torchao-0.10.0+git64bcf4c:
2025-03-21T20:24:18.2364818Z       Successfully uninstalled torchao-0.10.0+git64bcf4c
2025-03-21T20:24:18.2365238Z Successfully installed torchao-0.10.0+git64bcf4c
2025-03-21T20:24:18.2365785Z Using pip 25.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10)
2025-03-21T20:24:18.2366505Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2025-03-21T20:24:18.2367041Z Processing /pytorch/executorch
2025-03-21T20:24:18.2367410Z   Running command Preparing metadata (pyproject.toml)
2025-03-21T20:24:18.2367784Z   running dist_info
2025-03-21T20:24:18.2368160Z   creating /tmp/pip-modern-metadata-x8puif7h/executorch.egg-info
2025-03-21T20:24:18.2368743Z   writing /tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/PKG-INFO
2025-03-21T20:24:18.2369477Z   writing dependency_links to /tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/dependency_links.txt
2025-03-21T20:24:34.0020105Z   writing entry points to /tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/entry_points.txt
2025-03-21T20:24:34.0021580Z   writing requirements to /tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/requires.txt
2025-03-21T20:24:34.0022982Z   writing top-level names to /tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/top_level.txt
2025-03-21T20:24:34.0024516Z   writing manifest file '/tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/SOURCES.txt'
2025-03-21T20:24:34.0025857Z   reading manifest file '/tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/SOURCES.txt'
2025-03-21T20:24:34.0026793Z   adding license file 'LICENSE'
2025-03-21T20:24:34.0027676Z   writing manifest file '/tmp/pip-modern-metadata-x8puif7h/executorch.egg-info/SOURCES.txt'
2025-03-21T20:24:34.0028979Z   creating '/tmp/pip-modern-metadata-x8puif7h/executorch-0.6.0a0+be92d7d.dist-info'
2025-03-21T20:24:34.0031257Z   Preparing metadata (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:24:34.0032933Z 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)
2025-03-21T20:24:34.0034364Z Collecting flatbuffers (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:34.0036628Z   Obtaining dependency information for flatbuffers from https://files.pythonhosted.org/packages/b8/25/155f9f080d5e4bc0082edfda032ea2bc2b8fab3f4d25d46c1e9dd22a1a89/flatbuffers-25.2.10-py2.py3-none-any.whl.metadata
2025-03-21T20:24:34.0039221Z   Downloading flatbuffers-25.2.10-py2.py3-none-any.whl.metadata (875 bytes)
2025-03-21T20:24:34.0040930Z 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)
2025-03-21T20:24:34.0043109Z 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)
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2025-03-21T20:24:34.0049276Z 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)
2025-03-21T20:24:34.0051524Z 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)
2025-03-21T20:24:34.0053763Z Requirement already satisfied: pytest in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from executorch==0.6.0a0+be92d7d) (7.2.0)
2025-03-21T20:24:34.0055299Z Collecting pytest-xdist (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:34.0057662Z   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
2025-03-21T20:24:34.0060034Z   Downloading pytest_xdist-3.6.1-py3-none-any.whl.metadata (4.3 kB)
2025-03-21T20:24:34.0061032Z Collecting pytest-rerunfailures (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:34.0063544Z   Obtaining dependency information for pytest-rerunfailures from https://files.pythonhosted.org/packages/89/37/54e5ffc7c0cebee7cf30a3ac5915faa7e7abf8bdfdf3228c277f7c192489/pytest_rerunfailures-15.0-py3-none-any.whl.metadata
2025-03-21T20:24:34.0066117Z   Downloading pytest_rerunfailures-15.0-py3-none-any.whl.metadata (19 kB)
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2025-03-21T20:24:34.0073315Z Collecting tabulate (from executorch==0.6.0a0+be92d7d)
2025-03-21T20:24:34.0075403Z   Obtaining dependency information for tabulate from https://files.pythonhosted.org/packages/40/44/4a5f08c96eb108af5cb50b41f76142f0afa346dfa99d5296fe7202a11854/tabulate-0.9.0-py3-none-any.whl.metadata
2025-03-21T20:24:34.0077591Z   Downloading tabulate-0.9.0-py3-none-any.whl.metadata (34 kB)
2025-03-21T20:24:34.0079164Z 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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2025-03-21T20:24:34.0113907Z     plat_name = linux-x86_64
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2025-03-21T20:25:16.4639720Z   copying backends/transforms/rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms
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2025-03-21T20:25:16.4645803Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:16.4646483Z   copying backends/vulkan/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:16.4647319Z   copying backends/vulkan/custom_ops_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:16.4648173Z   copying backends/vulkan/op_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:16.4649374Z   copying backends/vulkan/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:16.4650924Z   copying backends/vulkan/vulkan_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan
2025-03-21T20:25:16.4652219Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:25:16.4653476Z   copying backends/xnnpack/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:25:16.4654475Z   copying backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack
2025-03-21T20:25:16.4655282Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:25:16.4663273Z   copying backends/apple/mps/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:25:16.4664421Z   copying backends/apple/mps/mps_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps
2025-03-21T20:25:16.4665256Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:16.4666163Z   copying backends/apple/coreml/compiler/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:16.4667285Z   copying backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:16.4668451Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:25:16.4670099Z   copying backends/apple/coreml/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:25:16.4672258Z   copying backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition
2025-03-21T20:25:16.4674026Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:16.4675077Z   copying backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:16.4676223Z   copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:16.4677143Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:25:16.4678058Z   copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:25:16.4679196Z   copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test
2025-03-21T20:25:16.4680167Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:25:16.4681709Z   copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:25:16.4683598Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:25:16.4684645Z   copying backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:25:16.4685634Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4686492Z   copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4687654Z   copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4688766Z   copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4689955Z   copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4691940Z   copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4693963Z   copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4695799Z   copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4696996Z   copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4698427Z   copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4699556Z   copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4700660Z   copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4701718Z   copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4702870Z   copying backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4704179Z   copying backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4705244Z   copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.4706300Z   copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.5107303Z   copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.5108435Z   copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.5109510Z   copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.5110831Z   copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators
2025-03-21T20:25:16.5112398Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:25:16.5113633Z   copying backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:25:16.5114837Z   copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition
2025-03-21T20:25:16.5115772Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:16.5116733Z   copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:16.5117952Z   copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:16.5118898Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5119783Z   copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5121560Z   copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5123080Z   copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5124232Z   copying backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5125416Z   copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5126445Z   copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5127460Z   copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test
2025-03-21T20:25:16.5128603Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:25:16.5130248Z   copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:25:16.5131791Z   copying backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils
2025-03-21T20:25:16.5132704Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5133464Z   copying backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5134474Z   copying backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5135544Z   copying backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5136547Z   copying backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5137475Z   copying backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5138396Z   copying backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5139406Z   copying backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5141205Z   copying backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5142705Z   copying backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5143868Z   copying backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5144879Z   copying backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5145854Z   copying backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5146849Z   copying backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5147818Z   copying backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5148795Z   copying backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5149773Z   copying backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5151380Z   copying backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5153052Z   copying backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5154160Z   copying backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5155142Z   copying backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5156116Z   copying backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5157152Z   copying backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5158263Z   copying backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5159337Z   copying backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5161040Z   copying backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5163019Z   copying backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5165075Z   copying backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5167086Z   copying backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5168767Z   copying backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5170486Z   copying backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5171650Z   copying backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5172656Z   copying backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5173630Z   copying backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5174559Z   copying backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5175540Z   copying backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5176644Z   copying backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5178468Z   copying backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5179917Z   copying backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes
2025-03-21T20:25:16.5180963Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5181846Z   copying backends/arm/operator_support/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5182944Z   copying backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5184080Z   copying backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5616439Z   copying backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5617596Z   copying backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5618737Z   copying backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5620044Z   copying backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5622022Z   copying backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5623441Z   copying backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support
2025-03-21T20:25:16.5625054Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5625847Z   copying backends/arm/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5626808Z   copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5627756Z   copying backends/arm/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5629154Z   copying backends/arm/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5630784Z   copying backends/arm/operators/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5631788Z   copying backends/arm/operators/op_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5632885Z   copying backends/arm/operators/op_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5633826Z   copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5634768Z   copying backends/arm/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5635676Z   copying backends/arm/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5637022Z   copying backends/arm/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5638756Z   copying backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5639808Z   copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5640886Z   copying backends/arm/operators/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5641801Z   copying backends/arm/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5642807Z   copying backends/arm/operators/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5643719Z   copying backends/arm/operators/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5644682Z   copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5646325Z   copying backends/arm/operators/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5647827Z   copying backends/arm/operators/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5648915Z   copying backends/arm/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5649829Z   copying backends/arm/operators/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5650772Z   copying backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5651743Z   copying backends/arm/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5652683Z   copying backends/arm/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5653648Z   copying backends/arm/operators/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5654947Z   copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5657021Z   copying backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5658107Z   copying backends/arm/operators/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5659107Z   copying backends/arm/operators/op_rescale.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5660056Z   copying backends/arm/operators/op_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5660994Z   copying backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5661926Z   copying backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5662880Z   copying backends/arm/operators/op_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5663807Z   copying backends/arm/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5665025Z   copying backends/arm/operators/op_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5666667Z   copying backends/arm/operators/op_table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5667878Z   copying backends/arm/operators/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5668964Z   copying backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5669935Z   copying backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5670941Z   copying backends/arm/operators/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5671960Z   copying backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5673428Z   copying backends/arm/operators/op_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5675222Z   copying backends/arm/operators/ops_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5676892Z   copying backends/arm/operators/ops_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators
2025-03-21T20:25:16.5678316Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:16.5679436Z   copying backends/arm/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:16.5680397Z   copying backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:16.5681413Z   copying backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:16.5682557Z   copying backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:16.5683637Z   copying backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer
2025-03-21T20:25:16.5684471Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:16.5685199Z   copying backends/arm/test/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:16.5686447Z   copying backends/arm/test/conftest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:16.5688129Z   copying backends/arm/test/runner_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:16.5689269Z   copying backends/arm/test/test_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test
2025-03-21T20:25:16.5690008Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-03-21T20:25:16.5690784Z   copying backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util
2025-03-21T20:25:16.5691570Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.5692418Z   copying backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.5693426Z   copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6131907Z   copying backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6132996Z   copying backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6134021Z   copying backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6135068Z   copying backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6136270Z   copying backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6138264Z   copying backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6139665Z   copying backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc
2025-03-21T20:25:16.6140523Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6141384Z   copying backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6142498Z   copying backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6143495Z   copying backends/arm/test/models/test_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6144494Z   copying backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6145531Z   copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6147069Z   copying backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6148911Z   copying backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6150056Z   copying backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6151096Z   copying backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models
2025-03-21T20:25:16.6151914Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6152678Z   copying backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6153588Z   copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6154505Z   copying backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6155656Z   copying backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6157118Z   copying backends/arm/test/ops/test_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6158765Z   copying backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6159797Z   copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6160750Z   copying backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6161682Z   copying backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6162672Z   copying backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6163610Z   copying backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6164536Z   copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6165756Z   copying backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6167505Z   copying backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6168654Z   copying backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6169661Z   copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6170657Z   copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6171623Z   copying backends/arm/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6172526Z   copying backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6173429Z   copying backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6174748Z   copying backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6176416Z   copying backends/arm/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6177467Z   copying backends/arm/test/ops/test_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6178386Z   copying backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6179282Z   copying backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6180226Z   copying backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6181203Z   copying backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6182396Z   copying backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6184119Z   copying backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6185281Z   copying backends/arm/test/ops/test_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6186355Z   copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6187341Z   copying backends/arm/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6188269Z   copying backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6189229Z   copying backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6190439Z   copying backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6192077Z   copying backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6193273Z   copying backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6194298Z   copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6195244Z   copying backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6196167Z   copying backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6197066Z   copying backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6197992Z   copying backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6198983Z   copying backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6200665Z   copying backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6202064Z   copying backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6203186Z   copying backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6204122Z   copying backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6205060Z   copying backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6206004Z   copying backends/arm/test/ops/test_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6540186Z   copying backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6541180Z   copying backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6542194Z   copying backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6543374Z   copying backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6545037Z   copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6546554Z   copying backends/arm/test/ops/test_split.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6547741Z   copying backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6548738Z   copying backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6549643Z   copying backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6550786Z   copying backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6551831Z   copying backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6553505Z   copying backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6555014Z   copying backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6556169Z   copying backends/arm/test/ops/test_var.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6557141Z   copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops
2025-03-21T20:25:16.6557939Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6558798Z   copying backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6559950Z   copying backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6561831Z   copying backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6563412Z   copying backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6564698Z   copying backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6565814Z   copying backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6566944Z   copying backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6568074Z   copying backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6569629Z   copying backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6571598Z   copying backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes
2025-03-21T20:25:16.6572564Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:25:16.6573546Z   copying backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer
2025-03-21T20:25:16.6574463Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:16.6575276Z   copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:16.6576301Z   copying backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:16.6577675Z   copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:16.6579607Z   copying backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester
2025-03-21T20:25:16.6580603Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:25:16.6581611Z   copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil
2025-03-21T20:25:16.6582635Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:25:16.6583755Z   copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib
2025-03-21T20:25:16.6584890Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer
2025-03-21T20:25:16.6586760Z   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
2025-03-21T20:25:16.6589191Z   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
2025-03-21T20:25:16.6590592Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:16.6591983Z   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
2025-03-21T20:25:16.6593661Z   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
2025-03-21T20:25:16.6596398Z   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
2025-03-21T20:25:16.6598289Z   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
2025-03-21T20:25:16.6599909Z   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
2025-03-21T20:25:16.6601535Z   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
2025-03-21T20:25:16.6603545Z   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
2025-03-21T20:25:16.6606174Z   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
2025-03-21T20:25:16.6607790Z   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
2025-03-21T20:25:16.6609445Z   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
2025-03-21T20:25:16.6611125Z   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
2025-03-21T20:25:16.6613548Z   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
2025-03-21T20:25:16.6615721Z   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
2025-03-21T20:25:16.6617340Z   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
2025-03-21T20:25:16.6619031Z   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
2025-03-21T20:25:16.6982958Z   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
2025-03-21T20:25:16.6984605Z   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
2025-03-21T20:25:16.6987065Z   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
2025-03-21T20:25:16.6989203Z   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
2025-03-21T20:25:16.6990986Z   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
2025-03-21T20:25:16.6992578Z   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
2025-03-21T20:25:16.6994153Z   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
2025-03-21T20:25:16.6996008Z   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
2025-03-21T20:25:16.6997607Z   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
2025-03-21T20:25:16.6999218Z   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
2025-03-21T20:25:16.7000789Z   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
2025-03-21T20:25:16.7003115Z   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
2025-03-21T20:25:16.7005288Z   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
2025-03-21T20:25:16.7007005Z   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
2025-03-21T20:25:16.7008613Z   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
2025-03-21T20:25:16.7010294Z   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
2025-03-21T20:25:16.7013052Z   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
2025-03-21T20:25:16.7014888Z   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
2025-03-21T20:25:16.7016768Z   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
2025-03-21T20:25:16.7017992Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts
2025-03-21T20:25:16.7019262Z   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
2025-03-21T20:25:16.7021041Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2025-03-21T20:25:16.7023270Z   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
2025-03-21T20:25:16.7024735Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7025575Z   copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7026473Z   copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7027393Z   copying backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7028351Z   copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7029534Z   copying backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7031163Z   copying backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7032579Z   copying backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7033655Z   copying backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7034704Z   copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7035648Z   copying backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7036549Z   copying backends/cadence/aot/passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7037488Z   copying backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7038445Z   copying backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7039364Z   copying backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7040286Z   copying backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7041334Z   copying backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7042444Z   copying backends/cadence/aot/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:16.7043211Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:16.7044020Z   copying backends/cadence/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:16.7044991Z   copying backends/cadence/runtime/executor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:16.7045973Z   copying backends/cadence/runtime/runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:16.7047236Z   copying backends/cadence/runtime/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime
2025-03-21T20:25:16.7048041Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:16.7048827Z   copying backends/cadence/utils/facto_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:16.7049783Z   copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:16.7051317Z   copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils
2025-03-21T20:25:16.7052849Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:16.7053940Z   copying backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:16.7055160Z   copying backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:16.7056339Z   copying backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:16.7057427Z   copying backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:16.7058295Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7059513Z   copying backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7314147Z   copying backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7315282Z   copying backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7316383Z   copying backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7318207Z   copying backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7319919Z   copying backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7321112Z   copying backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7322379Z   copying backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests
2025-03-21T20:25:16.7323327Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:25:16.7324201Z   copying backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO
2025-03-21T20:25:16.7325749Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:25:16.7327570Z   copying backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:25:16.7328980Z   copying backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator
2025-03-21T20:25:16.7330083Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:16.7331144Z   copying backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:16.7332640Z   copying backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:16.7334359Z   copying backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples
2025-03-21T20:25:16.7336167Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:25:16.7337184Z   copying backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto
2025-03-21T20:25:16.7338244Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:25:16.7339397Z   copying backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen
2025-03-21T20:25:16.7340480Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:16.7341940Z   copying backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:16.7344082Z   copying backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:16.7345488Z   copying backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:16.7346880Z   copying backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb
2025-03-21T20:25:16.7348008Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
2025-03-21T20:25:16.7349368Z   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
2025-03-21T20:25:16.7352124Z   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
2025-03-21T20:25:16.7353772Z   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
2025-03-21T20:25:16.7355062Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
2025-03-21T20:25:16.7356273Z   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
2025-03-21T20:25:16.7357806Z   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
2025-03-21T20:25:16.7360375Z   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
2025-03-21T20:25:16.7362198Z   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
2025-03-21T20:25:16.7363686Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
2025-03-21T20:25:16.7364940Z   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
2025-03-21T20:25:16.7366502Z   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
2025-03-21T20:25:16.7369288Z   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
2025-03-21T20:25:16.7371206Z   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
2025-03-21T20:25:16.7372500Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
2025-03-21T20:25:16.7373681Z   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
2025-03-21T20:25:16.7375157Z   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
2025-03-21T20:25:16.7377271Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
2025-03-21T20:25:16.7378807Z   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
2025-03-21T20:25:16.7380448Z   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
2025-03-21T20:25:16.7381692Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
2025-03-21T20:25:16.7382926Z   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
2025-03-21T20:25:16.7385724Z   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
2025-03-21T20:25:16.7387385Z   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
2025-03-21T20:25:16.7388976Z   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
2025-03-21T20:25:16.7390507Z   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
2025-03-21T20:25:16.7392706Z   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
2025-03-21T20:25:16.7394884Z   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
2025-03-21T20:25:16.7396217Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen
2025-03-21T20:25:16.7397354Z   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
2025-03-21T20:25:16.7736439Z   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
2025-03-21T20:25:16.7737958Z   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
2025-03-21T20:25:16.7740231Z   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
2025-03-21T20:25:16.7742269Z   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
2025-03-21T20:25:16.7743795Z   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
2025-03-21T20:25:16.7745239Z   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
2025-03-21T20:25:16.7747058Z   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
2025-03-21T20:25:16.7749302Z   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
2025-03-21T20:25:16.7750700Z   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
2025-03-21T20:25:16.7752108Z   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
2025-03-21T20:25:16.7753564Z   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
2025-03-21T20:25:16.7755530Z   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
2025-03-21T20:25:16.7757654Z   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
2025-03-21T20:25:16.7759075Z   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
2025-03-21T20:25:16.7760233Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes
2025-03-21T20:25:16.7761398Z   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
2025-03-21T20:25:16.7763159Z   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
2025-03-21T20:25:16.7765258Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7766332Z   copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7767523Z   copying backends/example/example_operators/add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7768650Z   copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7769792Z   copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7771251Z   copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7773307Z   copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7774474Z   copying backends/example/example_operators/linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7775734Z   copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7776918Z   copying backends/example/example_operators/ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7778035Z   copying backends/example/example_operators/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators
2025-03-21T20:25:16.7779468Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:25:16.7780889Z   copying backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:25:16.7782016Z   copying backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes
2025-03-21T20:25:16.7782967Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:16.7783826Z   copying backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:16.7784873Z   copying backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:16.7785929Z   copying backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:16.7787214Z   copying backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer
2025-03-21T20:25:16.7788760Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7789893Z   copying backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7790919Z   copying backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7792017Z   copying backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7793064Z   copying backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7794101Z   copying backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7795166Z   copying backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7797004Z   copying backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7799201Z   copying backends/qualcomm/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7801270Z   copying backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7803466Z   copying backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7805690Z   copying backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7807833Z   copying backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7809779Z   copying backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7811309Z   copying backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7812480Z   copying backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7813596Z   copying backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7814626Z   copying backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7815674Z   copying backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7817058Z   copying backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.7819122Z   copying backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8217370Z   copying backends/qualcomm/_passes/recompose_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8218483Z   copying backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8219548Z   copying backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8220864Z   copying backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8222776Z   copying backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8224064Z   copying backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8225374Z   copying backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8226380Z   copying backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes
2025-03-21T20:25:16.8227196Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8228035Z   copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8229426Z   copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8231270Z   copying backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8232447Z   copying backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8233524Z   copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8234530Z   copying backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8235546Z   copying backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8236568Z   copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8238205Z   copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8239855Z   copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8240903Z   copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8242125Z   copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8243251Z   copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8244266Z   copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8245267Z   copying backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8246944Z   copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8248599Z   copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8249715Z   copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8250728Z   copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8251741Z   copying backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8252736Z   copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8253738Z   copying backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8255305Z   copying backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8256970Z   copying backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8258057Z   copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8259068Z   copying backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8260076Z   copying backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8261096Z   copying backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8262318Z   copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8264166Z   copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8265701Z   copying backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8266735Z   copying backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8267784Z   copying backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8268824Z   copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8269834Z   copying backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8270962Z   copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8272733Z   copying backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8274353Z   copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8275416Z   copying backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8276426Z   copying backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8277408Z   copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8278408Z   copying backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8279762Z   copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8281589Z   copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8282892Z   copying backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8283883Z   copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8284863Z   copying backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8285828Z   copying backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8286811Z   copying backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8288465Z   copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8290008Z   copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8291094Z   copying backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8292110Z   copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8293126Z   copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8705857Z   copying backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8707003Z   copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8708035Z   copying backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8709347Z   copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8711193Z   copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8713062Z   copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8714494Z   copying backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8715588Z   copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8716653Z   copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8717907Z   copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8718953Z   copying backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8720028Z   copying backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8721073Z   copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8722436Z   copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8723445Z   copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8724652Z   copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8725684Z   copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8726669Z   copying backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8727794Z   copying backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8729633Z   copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8731429Z   copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8733314Z   copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8734477Z   copying backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8735624Z   copying backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8736659Z   copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8737690Z   copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders
2025-03-21T20:25:16.8738526Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:25:16.8739574Z   copying backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger
2025-03-21T20:25:16.8741041Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:16.8742331Z   copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:16.8743600Z   copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:16.8744666Z   copying backends/qualcomm/partition/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition
2025-03-21T20:25:16.8745511Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:16.8746387Z   copying backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:16.8747467Z   copying backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:16.8748673Z   copying backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:16.8749787Z   copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:16.8750674Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:16.8752050Z   copying backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:16.8754038Z   copying backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:16.8754983Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:16.8755864Z   copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:16.8756856Z   copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:16.8757844Z   copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests
2025-03-21T20:25:16.8758634Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:25:16.8759454Z   copying backends/qualcomm/utils/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:25:16.8760415Z   copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils
2025-03-21T20:25:16.8761270Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:25:16.8762560Z   copying backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:25:16.8764420Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:16.8766113Z   copying backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:16.8768132Z   copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:16.8769424Z   copying backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test
2025-03-21T20:25:16.8770292Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8771083Z   copying backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8772071Z   copying backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8773132Z   copying backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8774519Z   copying backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8776407Z   copying backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8777582Z   copying backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8778732Z   copying backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8779783Z   copying backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes
2025-03-21T20:25:16.8780742Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:25:16.8781701Z   copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner
2025-03-21T20:25:16.8782603Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:25:16.9189655Z   copying backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer
2025-03-21T20:25:16.9190705Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:25:16.9191538Z   copying backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime
2025-03-21T20:25:16.9192390Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:16.9193324Z   copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:16.9194514Z   copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:16.9195694Z   copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:16.9196704Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:16.9197508Z   copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:16.9198498Z   copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:16.9199515Z   copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test
2025-03-21T20:25:16.9200378Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:16.9201241Z   copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:16.9202400Z   copying backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests
2025-03-21T20:25:16.9203745Z   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
2025-03-21T20:25:16.9204734Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils
2025-03-21T20:25:16.9205701Z   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
2025-03-21T20:25:16.9206890Z   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
2025-03-21T20:25:16.9208117Z   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
2025-03-21T20:25:16.9209356Z   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
2025-03-21T20:25:16.9210615Z   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
2025-03-21T20:25:16.9211861Z   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
2025-03-21T20:25:16.9212807Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:25:16.9213741Z   copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk
2025-03-21T20:25:16.9215022Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2025-03-21T20:25:16.9216265Z   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
2025-03-21T20:25:16.9217942Z   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
2025-03-21T20:25:16.9219469Z   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
2025-03-21T20:25:16.9220960Z   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
2025-03-21T20:25:16.9222445Z   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
2025-03-21T20:25:16.9223891Z   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
2025-03-21T20:25:16.9225660Z   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
2025-03-21T20:25:16.9226949Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2025-03-21T20:25:16.9228282Z   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
2025-03-21T20:25:16.9229653Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2025-03-21T20:25:16.9231175Z   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
2025-03-21T20:25:16.9232592Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9233465Z   copying backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9234515Z   copying backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9235633Z   copying backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9236693Z   copying backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9237720Z   copying backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9238792Z   copying backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9239956Z   copying backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9240985Z   copying backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9242032Z   copying backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9243155Z   copying backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9244373Z   copying backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9245412Z   copying backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9246435Z   copying backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes
2025-03-21T20:25:16.9247396Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9248231Z   copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9249249Z   copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9250265Z   copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9251255Z   copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9252249Z   copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9253285Z   copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9254314Z   copying backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9255393Z   copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9256399Z   copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9641647Z   copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9642898Z   copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9643911Z   copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9644986Z   copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9646122Z   copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9647193Z   copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9648287Z   copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9649318Z   copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9650345Z   copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9651385Z   copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9652413Z   copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9653498Z   copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9654578Z   copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9655834Z   copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9656875Z   copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9658040Z   copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9659089Z   copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9660200Z   copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9661233Z   copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9662264Z   copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9663283Z   copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9664325Z   copying backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9665358Z   copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9666480Z   copying backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9667484Z   copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9668492Z   copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9669518Z   copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9670549Z   copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9671580Z   copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9672599Z   copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9673634Z   copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9674765Z   copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9675833Z   copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9676972Z   copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9678068Z   copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9679073Z   copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9680117Z   copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators
2025-03-21T20:25:16.9680988Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:25:16.9682042Z   copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:25:16.9683274Z   copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition
2025-03-21T20:25:16.9684180Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:16.9685076Z   copying backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:16.9686211Z   copying backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:16.9687147Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:16.9688111Z   copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:16.9689424Z   copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:16.9690373Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:25:16.9691198Z   copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:25:16.9692233Z   copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test
2025-03-21T20:25:16.9693113Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:25:16.9694162Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:25:16.9695097Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:16.9695886Z   copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:16.9696979Z   copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:16.9697926Z   copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:16.9698901Z   copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils
2025-03-21T20:25:16.9699788Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:16.9700729Z   copying backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:16.9701887Z   copying backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:16.9703113Z   copying backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:16.9704497Z   copying backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:16.9705728Z   copying backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:16.9706969Z   copying backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config
2025-03-21T20:25:16.9707949Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:17.0124126Z   copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:17.0125606Z   copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:17.0126597Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0127468Z   copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0128513Z   copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0129573Z   copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0130817Z   copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0131904Z   copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0133016Z   copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0134123Z   copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0135210Z   copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0136281Z   copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0137346Z   copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0138524Z   copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0139756Z   copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0140961Z   copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models
2025-03-21T20:25:17.0141796Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0142626Z   copying backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0143603Z   copying backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0144624Z   copying backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0145675Z   copying backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0146706Z   copying backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0147787Z   copying backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0148830Z   copying backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0149880Z   copying backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0150937Z   copying backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0151936Z   copying backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0153062Z   copying backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0154121Z   copying backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0155109Z   copying backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0156131Z   copying backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0157352Z   copying backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0158452Z   copying backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0159496Z   copying backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0160523Z   copying backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0161528Z   copying backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0162602Z   copying backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0163624Z   copying backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0164658Z   copying backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0165690Z   copying backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0166719Z   copying backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0167754Z   copying backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0168769Z   copying backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0169790Z   copying backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0170794Z   copying backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0171797Z   copying backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0172866Z   copying backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0173936Z   copying backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0175051Z   copying backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0176280Z   copying backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0177352Z   copying backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0178390Z   copying backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0187198Z   copying backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0188452Z   copying backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0189540Z   copying backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0190615Z   copying backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0191664Z   copying backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:17.0192598Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:17.0193637Z   copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:17.0194807Z   copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:17.0196024Z   copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:17.0197228Z   copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:17.0198393Z   copying backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:17.0504789Z   copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes
2025-03-21T20:25:17.0506000Z   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
2025-03-21T20:25:17.0506952Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:17.0508084Z   copying backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:17.0509368Z   copying backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:17.0510625Z   copying backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer
2025-03-21T20:25:17.0511663Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:25:17.0512694Z   copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:25:17.0513963Z   copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization
2025-03-21T20:25:17.0514967Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:25:17.0515902Z   copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:25:17.0517130Z   copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester
2025-03-21T20:25:17.0518042Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:25:17.0519164Z   copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:25:17.0520259Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:25:17.0521241Z   copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:25:17.0522528Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:25:17.0523535Z   copying backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:25:17.0524702Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
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2025-03-21T20:25:17.0527067Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
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2025-03-21T20:25:17.0529647Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16
2025-03-21T20:25:17.0531018Z   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
2025-03-21T20:25:17.0532119Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy
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2025-03-21T20:25:17.0534457Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts
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2025-03-21T20:25:17.0538510Z   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
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2025-03-21T20:25:17.0541122Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:17.0542280Z   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
2025-03-21T20:25:17.0543739Z   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
2025-03-21T20:25:17.0545229Z   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
2025-03-21T20:25:17.0546757Z   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
2025-03-21T20:25:17.0548297Z   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
2025-03-21T20:25:17.0549812Z   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
2025-03-21T20:25:17.0551270Z   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
2025-03-21T20:25:17.0552921Z   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
2025-03-21T20:25:17.0554421Z   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
2025-03-21T20:25:17.0555889Z   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
2025-03-21T20:25:17.0557316Z   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
2025-03-21T20:25:17.0558782Z   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
2025-03-21T20:25:17.0560309Z   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
2025-03-21T20:25:17.0561860Z   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
2025-03-21T20:25:17.0563490Z   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
2025-03-21T20:25:17.0564948Z   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
2025-03-21T20:25:17.0566381Z   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
2025-03-21T20:25:17.0567819Z   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
2025-03-21T20:25:17.0569257Z   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
2025-03-21T20:25:17.0570724Z   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
2025-03-21T20:25:17.0572245Z   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
2025-03-21T20:25:17.0573774Z   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
2025-03-21T20:25:17.1129736Z   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
2025-03-21T20:25:17.1131147Z   copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:17.1132983Z   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
2025-03-21T20:25:17.1135312Z   copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:17.1136776Z   copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools
2025-03-21T20:25:17.1138130Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2025-03-21T20:25:17.1139299Z   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
2025-03-21T20:25:17.1141364Z   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
2025-03-21T20:25:17.1143568Z   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
2025-03-21T20:25:17.1144874Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2025-03-21T20:25:17.1146038Z   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
2025-03-21T20:25:17.1147035Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-03-21T20:25:17.1147629Z   copying codegen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen
2025-03-21T20:25:17.1148550Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1149698Z   copying codegen/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1150919Z   copying codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1151734Z   copying codegen/tools/gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1152652Z   copying codegen/tools/gen_ops_def.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1153498Z   copying codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1154366Z   copying codegen/tools/merge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1155150Z   copying codegen/tools/yaml_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools
2025-03-21T20:25:17.1155833Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:17.1156654Z   copying codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:17.1158269Z   copying codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:17.1159778Z   copying codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:17.1160815Z   copying codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test
2025-03-21T20:25:17.1161803Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:17.1162756Z   copying examples/apple/coreml/llama/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:17.1163828Z   copying examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:17.1164893Z   copying examples/apple/coreml/llama/run.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:17.1166406Z   copying examples/apple/coreml/llama/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:17.1168185Z   copying examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama
2025-03-21T20:25:17.1169052Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:17.1170186Z   copying examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:17.1171200Z   copying examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:17.1172246Z   copying examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:17.1173275Z   copying examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:17.1174499Z   copying examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:17.1175929Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:17.1177022Z   copying examples/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:17.1177874Z   copying examples/models/checkpoint.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:17.1178844Z   copying examples/models/model_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:17.1179678Z   copying examples/models/model_factory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models
2025-03-21T20:25:17.1180443Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:25:17.1181272Z   copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:25:17.1182246Z   copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3
2025-03-21T20:25:17.1183504Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:25:17.1184835Z   copying examples/models/edsr/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:25:17.1185929Z   copying examples/models/edsr/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr
2025-03-21T20:25:17.1186830Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:25:17.1187708Z   copying examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:25:17.1188741Z   copying examples/models/efficient_sam/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam
2025-03-21T20:25:17.1189600Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:25:17.1190465Z   copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:25:17.1191934Z   copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt
2025-03-21T20:25:17.1193460Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:25:17.1194494Z   copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:25:17.1195630Z   copying examples/models/inception_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3
2025-03-21T20:25:17.1196484Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:25:17.1197337Z   copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:25:17.1198352Z   copying examples/models/inception_v4/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4
2025-03-21T20:25:17.1199292Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1200350Z   copying examples/models/llama/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1202020Z   copying examples/models/llama/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1203852Z   copying examples/models/llama/eval_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1205549Z   copying examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1206918Z   copying examples/models/llama/export_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1207895Z   copying examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1552753Z   copying examples/models/llama/fairseq2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1554088Z   copying examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1555165Z   copying examples/models/llama/llama_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1556134Z   copying examples/models/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1557084Z   copying examples/models/llama/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1557994Z   copying examples/models/llama/model_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1558900Z   copying examples/models/llama/norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1559786Z   copying examples/models/llama/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1561207Z   copying examples/models/llama/static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama
2025-03-21T20:25:17.1562790Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:25:17.1563943Z   copying examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision
2025-03-21T20:25:17.1564790Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:17.1565676Z   copying examples/models/llava/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:17.1566613Z   copying examples/models/llava/export_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:17.1567563Z   copying examples/models/llava/image_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:17.1568493Z   copying examples/models/llava/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava
2025-03-21T20:25:17.1569242Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:25:17.1569990Z   copying examples/models/lstm/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:25:17.1570863Z   copying examples/models/lstm/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm
2025-03-21T20:25:17.1571635Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:25:17.1572745Z   copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:25:17.1574524Z   copying examples/models/mobilebert/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert
2025-03-21T20:25:17.1575792Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:25:17.1576880Z   copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:25:17.1577913Z   copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2
2025-03-21T20:25:17.1578761Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:25:17.1579611Z   copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:25:17.1580616Z   copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3
2025-03-21T20:25:17.1581842Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora
2025-03-21T20:25:17.1583492Z   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
2025-03-21T20:25:17.1584570Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:17.1585489Z   copying examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:17.1586497Z   copying examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:17.1587519Z   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
2025-03-21T20:25:17.1588547Z   copying examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:17.1589738Z   copying examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini
2025-03-21T20:25:17.1591270Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:25:17.1592805Z   copying examples/models/phi-4-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:25:17.1594643Z   copying examples/models/phi-4-mini/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini
2025-03-21T20:25:17.1595850Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:25:17.1596648Z   copying examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:25:17.1597762Z   copying examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5
2025-03-21T20:25:17.1598581Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:25:17.1599372Z   copying examples/models/resnet/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:25:17.1600290Z   copying examples/models/resnet/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet
2025-03-21T20:25:17.1601078Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:25:17.1602412Z   copying examples/models/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:25:17.1604005Z   copying examples/models/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test
2025-03-21T20:25:17.1604842Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:25:17.1605850Z   copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:25:17.1606918Z   copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit
2025-03-21T20:25:17.1607956Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:25:17.1608748Z   copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:25:17.1609692Z   copying examples/models/toy_model/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model
2025-03-21T20:25:17.1610923Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:25:17.1612403Z   copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:25:17.1613599Z   copying examples/models/wav2letter/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter
2025-03-21T20:25:17.1614652Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core
2025-03-21T20:25:17.1615857Z   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
2025-03-21T20:25:17.1617309Z   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
2025-03-21T20:25:17.1619291Z   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
2025-03-21T20:25:17.1622247Z   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
2025-03-21T20:25:17.1625014Z   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
2025-03-21T20:25:17.1627608Z   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
2025-03-21T20:25:17.1628718Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:25:17.1629602Z   copying examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:25:17.1630684Z   copying examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate
2025-03-21T20:25:17.1631602Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:17.1914721Z   copying examples/models/llama/experimental/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:17.1916016Z   copying examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:17.1917224Z   copying examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:17.1918813Z   copying examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental
2025-03-21T20:25:17.1920583Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:17.1922349Z   copying examples/models/llama/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:17.1924236Z   copying examples/models/llama/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:17.1926174Z   copying examples/models/llama/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner
2025-03-21T20:25:17.1927396Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1928462Z   copying examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1929807Z   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
2025-03-21T20:25:17.1931173Z   copying examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1933445Z   copying examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1935085Z   copying examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1936431Z   copying examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1937795Z   copying examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1939155Z   copying examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1941514Z   copying examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1943036Z   copying examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1944335Z   copying examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1945625Z   copying examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1947017Z   copying examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1949475Z   copying examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1950916Z   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
2025-03-21T20:25:17.1952402Z   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
2025-03-21T20:25:17.1953822Z   copying examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation
2025-03-21T20:25:17.1954825Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:17.1956244Z   copying examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:17.1958070Z   copying examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:17.1959190Z   copying examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests
2025-03-21T20:25:17.1960272Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:25:17.1961195Z   copying examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer
2025-03-21T20:25:17.1962165Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:17.1963277Z   copying examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:17.1965049Z   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
2025-03-21T20:25:17.1967092Z   copying examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess
2025-03-21T20:25:17.1968422Z   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
2025-03-21T20:25:17.1969480Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:17.1970457Z   copying examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:17.1971650Z   copying examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:17.1973714Z   copying examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:17.1975248Z   copying examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner
2025-03-21T20:25:17.1976274Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder
2025-03-21T20:25:17.1977314Z   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
2025-03-21T20:25:17.1978372Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder
2025-03-21T20:25:17.1979454Z   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
2025-03-21T20:25:17.1981726Z   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
2025-03-21T20:25:17.1983003Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:25:17.1984144Z   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
2025-03-21T20:25:17.1985554Z   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
2025-03-21T20:25:17.1986728Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test
2025-03-21T20:25:17.1988389Z   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
2025-03-21T20:25:17.1990457Z   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
2025-03-21T20:25:17.1991683Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:25:17.1992613Z   copying examples/models/llava/test/test_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:25:17.1993632Z   copying examples/models/llava/test/test_pte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test
2025-03-21T20:25:17.2530956Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:25:17.2531855Z   copying examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi
2025-03-21T20:25:17.2532641Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2533191Z   copying exir/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2533815Z   copying exir/_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2534525Z   copying exir/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2535600Z   copying exir/control_flow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2536731Z   copying exir/delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2537634Z   copying exir/dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2538317Z   copying exir/dynamic_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2538959Z   copying exir/error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2539554Z   copying exir/graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2540190Z   copying exir/graph_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2540894Z   copying exir/lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2541592Z   copying exir/memory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2542252Z   copying exir/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2543269Z   copying exir/pass_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2544384Z   copying exir/pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2545511Z   copying exir/print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2546204Z   copying exir/scalar_type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2546841Z   copying exir/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2547460Z   copying exir/sym_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2548079Z   copying exir/tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2548687Z   copying exir/tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2549296Z   copying exir/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2549909Z   copying exir/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2550519Z   copying exir/wrap.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:17.2551104Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2551781Z   copying exir/_serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2552842Z   copying exir/_serialize/_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2554214Z   copying exir/_serialize/_dataclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2555333Z   copying exir/_serialize/_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2556306Z   copying exir/_serialize/_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2557209Z   copying exir/_serialize/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2558012Z   copying exir/_serialize/_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2558843Z   copying exir/_serialize/data_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2559650Z   copying exir/_serialize/padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:17.2560328Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:17.2561004Z   copying exir/backend/backend_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:17.2561812Z   copying exir/backend/backend_details.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:17.2562959Z   copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:17.2564490Z   copying exir/backend/operator_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:17.2565655Z   copying exir/backend/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:17.2566433Z   copying exir/backend/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend
2025-03-21T20:25:17.2567089Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:17.2567745Z   copying exir/capture/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:17.2568492Z   copying exir/capture/_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:17.2569237Z   copying exir/capture/_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:17.2569976Z   copying exir/capture/_unlift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture
2025-03-21T20:25:17.2570640Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:25:17.2571308Z   copying exir/dialects/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:25:17.2572053Z   copying exir/dialects/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects
2025-03-21T20:25:17.2572693Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:17.2573705Z   copying exir/emit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:17.2574944Z   copying exir/emit/_emit_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:17.2575886Z   copying exir/emit/_emitter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit
2025-03-21T20:25:17.2576541Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:17.2577222Z   copying exir/operator/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:17.2577995Z   copying exir/operator/manip.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:17.2578740Z   copying exir/operator/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator
2025-03-21T20:25:17.2579396Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2580027Z   copying exir/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2581422Z   copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2582917Z   copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2583754Z   copying exir/passes/constant_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2584808Z   copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2585693Z   copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2586549Z   copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2587450Z   copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2588629Z   copying exir/passes/external_constants_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2590147Z   copying exir/passes/init_mutable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2591290Z   copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2592212Z   copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2593066Z   copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2593922Z   copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2594825Z   copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2595683Z   copying exir/passes/pass_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2596647Z   copying exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2598154Z   copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2599332Z   copying exir/passes/quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2600194Z   copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2601079Z   copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2601948Z   copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.2602877Z   copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3102672Z   copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3103670Z   copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3104589Z   copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3105701Z   copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3107259Z   copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3108440Z   copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3109324Z   copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3110297Z   copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3111155Z   copying exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes
2025-03-21T20:25:17.3111879Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:17.3112681Z   copying exir/program/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:17.3113547Z   copying exir/program/_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:17.3114897Z   copying exir/program/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program
2025-03-21T20:25:17.3116020Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3116807Z   copying exir/serde/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3117632Z   copying exir/serde/export_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3118390Z   copying exir/serde/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3119123Z   copying exir/serde/schema_check.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3119895Z   copying exir/serde/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3120604Z   copying exir/serde/union.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3121317Z   copying exir/serde/upgrade.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde
2025-03-21T20:25:17.3121962Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3122678Z   copying exir/tests/asr_joiner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3123660Z   copying exir/tests/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3124593Z   copying exir/tests/control_flow_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3125406Z   copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3126183Z   copying exir/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3126944Z   copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3127719Z   copying exir/tests/test_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3128462Z   copying exir/tests/test_common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3129211Z   copying exir/tests/test_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3130416Z   copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3131936Z   copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3132930Z   copying exir/tests/test_error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3133759Z   copying exir/tests/test_joint_graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3134589Z   copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3135473Z   copying exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3136380Z   copying exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3137233Z   copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3138029Z   copying exir/tests/test_op_convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3138808Z   copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3139954Z   copying exir/tests/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3140817Z   copying exir/tests/test_print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3141662Z   copying exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3142520Z   copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3143322Z   copying exir/tests/test_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3144130Z   copying exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3144948Z   copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3146051Z   copying exir/tests/test_serde.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3147345Z   copying exir/tests/test_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3148433Z   copying exir/tests/test_tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3149269Z   copying exir/tests/test_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3150043Z   copying exir/tests/test_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3150803Z   copying exir/tests/transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests
2025-03-21T20:25:17.3151485Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:17.3152235Z   copying exir/verification/arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:17.3153104Z   copying exir/verification/dev_html.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:17.3153981Z   copying exir/verification/interpreter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:17.3155174Z   copying exir/verification/verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification
2025-03-21T20:25:17.3156477Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:17.3157523Z   copying exir/_serialize/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:17.3158468Z   copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:17.3159378Z   copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:17.3160332Z   copying exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:17.3161280Z   copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test
2025-03-21T20:25:17.3162102Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:17.3163712Z   copying exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:17.3165707Z   copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:17.3167120Z   copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:17.3168428Z   copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:17.3169484Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3170352Z   copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3172004Z   copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3173634Z   copying exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3174686Z   copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3175627Z   copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3596976Z   copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3597994Z   copying exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3599504Z   copying exir/backend/test/test_backends.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3601106Z   copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3602076Z   copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3603090Z   copying exir/backend/test/test_compatibility.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3604029Z   copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3604992Z   copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3605963Z   copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3606936Z   copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3608429Z   copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3610051Z   copying exir/backend/test/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3611579Z   copying exir/backend/test/test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test
2025-03-21T20:25:17.3612705Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:25:17.3613575Z   copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:25:17.3614653Z   copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos
2025-03-21T20:25:17.3615522Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:17.3616473Z   copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:17.3617690Z   copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:17.3618889Z   copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:17.3620346Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:25:17.3621663Z   copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend
2025-03-21T20:25:17.3623191Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:25:17.3624551Z   copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:25:17.3625387Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:25:17.3626187Z   copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test
2025-03-21T20:25:17.3626994Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:25:17.3627876Z   copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test
2025-03-21T20:25:17.3628731Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:25:17.3629519Z   copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:25:17.3631098Z   copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg
2025-03-21T20:25:17.3632576Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:17.3634089Z   copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:17.3635845Z   copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:17.3637665Z   copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:17.3638997Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:25:17.3639757Z   copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:25:17.3640685Z   copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op
2025-03-21T20:25:17.3641488Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:25:17.3642353Z   copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:25:17.3643285Z   copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec
2025-03-21T20:25:17.3644075Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:25:17.3644895Z   copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:25:17.3646031Z   copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test
2025-03-21T20:25:17.3647498Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:25:17.3648775Z   copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test
2025-03-21T20:25:17.3649565Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-03-21T20:25:17.3650256Z   copying exir/emit/test/test_emit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test
2025-03-21T20:25:17.3650958Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-03-21T20:25:17.3651717Z   copying exir/operator/test/test_operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test
2025-03-21T20:25:17.3652470Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:17.3653186Z   copying exir/program/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:17.3654057Z   copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:17.3655162Z   copying exir/program/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test
2025-03-21T20:25:17.3656439Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-03-21T20:25:17.3657877Z   copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test
2025-03-21T20:25:17.3658733Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test
2025-03-21T20:25:17.3659517Z   copying extension/android_test/add_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test
2025-03-21T20:25:17.3660292Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:25:17.3661040Z   copying extension/export_util/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:25:17.3661933Z   copying extension/export_util/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util
2025-03-21T20:25:17.3662689Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:25:17.3663676Z   copying extension/flat_tensor/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor
2025-03-21T20:25:17.3664996Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:17.3666080Z   copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:17.3666965Z   copying extension/gguf_util/converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:17.3667836Z   copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util
2025-03-21T20:25:17.3668584Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:25:17.3669384Z   copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:25:17.3670158Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-03-21T20:25:17.3670866Z   copying extension/pytree/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree
2025-03-21T20:25:17.3671739Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-03-21T20:25:17.3673015Z   copying extension/training/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training
2025-03-21T20:25:17.3674202Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:17.3675098Z   copying extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:17.3976260Z   copying extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:17.3978559Z   copying extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:17.3980277Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:25:17.3981926Z   copying extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test
2025-03-21T20:25:17.3983589Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:25:17.3985346Z   copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters
2025-03-21T20:25:17.3987065Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.3988593Z   copying extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.3991174Z   copying extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.3993225Z   copying extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.3995174Z   copying extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.3997188Z   copying extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.3999296Z   copying extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.4001381Z   copying extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.4003587Z   copying extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops
2025-03-21T20:25:17.4005176Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:17.4006605Z   copying extension/llm/export/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:17.4008318Z   copying extension/llm/export/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:17.4010106Z   copying extension/llm/export/export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:17.4011981Z   copying extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:17.4013848Z   copying extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:17.4015729Z   copying extension/llm/export/test_export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export
2025-03-21T20:25:17.4017270Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:17.4018731Z   copying extension/llm/modules/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:17.4020582Z   copying extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:17.4022494Z   copying extension/llm/modules/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:17.4024477Z   copying extension/llm/modules/kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules
2025-03-21T20:25:17.4025950Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:17.4027450Z   copying extension/llm/tokenizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:17.4029340Z   copying extension/llm/tokenizer/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:17.4031197Z   copying extension/llm/tokenizer/tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:17.4032937Z   copying extension/llm/tokenizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer
2025-03-21T20:25:17.4034381Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:25:17.4035866Z   copying extension/llm/tokenizers/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers
2025-03-21T20:25:17.4037502Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant
2025-03-21T20:25:17.4039464Z   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
2025-03-21T20:25:17.4041900Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT
2025-03-21T20:25:17.4044191Z   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
2025-03-21T20:25:17.4046859Z   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
2025-03-21T20:25:17.4048822Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:17.4050295Z   copying extension/llm/modules/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:17.4052190Z   copying extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:17.4054156Z   copying extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:17.4056176Z   copying extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test
2025-03-21T20:25:17.4057880Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:25:17.4059544Z   copying extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test
2025-03-21T20:25:17.4061304Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:17.4063270Z   copying extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:17.4065764Z   copying extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:17.4068326Z   copying extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:17.4070933Z   copying extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers
2025-03-21T20:25:17.4073039Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c
2025-03-21T20:25:17.4075407Z   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
2025-03-21T20:25:17.4078392Z   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
2025-03-21T20:25:17.4080745Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp
2025-03-21T20:25:17.4082972Z   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
2025-03-21T20:25:17.4085659Z   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
2025-03-21T20:25:17.4087868Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl
2025-03-21T20:25:17.4090176Z   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
2025-03-21T20:25:17.4092663Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts
2025-03-21T20:25:17.4095296Z   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
2025-03-21T20:25:17.4098472Z   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
2025-03-21T20:25:17.4101127Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts
2025-03-21T20:25:17.4251127Z   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
2025-03-21T20:25:17.4252559Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl
2025-03-21T20:25:17.4254730Z   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
2025-03-21T20:25:17.4257294Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate
2025-03-21T20:25:17.4258957Z   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
2025-03-21T20:25:17.4260328Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer
2025-03-21T20:25:17.4261745Z   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
2025-03-21T20:25:17.4263167Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis
2025-03-21T20:25:17.4265446Z   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
2025-03-21T20:25:17.4267155Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header
2025-03-21T20:25:17.4268498Z   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
2025-03-21T20:25:17.4269780Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog
2025-03-21T20:25:17.4270992Z   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
2025-03-21T20:25:17.4272236Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python
2025-03-21T20:25:17.4274289Z   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
2025-03-21T20:25:17.4276837Z   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
2025-03-21T20:25:17.4278390Z   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
2025-03-21T20:25:17.4279502Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2
2025-03-21T20:25:17.4280657Z   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
2025-03-21T20:25:17.4282429Z   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
2025-03-21T20:25:17.4284132Z   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
2025-03-21T20:25:17.4286219Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains
2025-03-21T20:25:17.4287561Z   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
2025-03-21T20:25:17.4288878Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python
2025-03-21T20:25:17.4290184Z   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
2025-03-21T20:25:17.4291485Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test
2025-03-21T20:25:17.4292841Z   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
2025-03-21T20:25:17.4295682Z   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
2025-03-21T20:25:17.4297376Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece
2025-03-21T20:25:17.4298949Z   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
2025-03-21T20:25:17.4300917Z   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
2025-03-21T20:25:17.4304058Z   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
2025-03-21T20:25:17.4307258Z   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
2025-03-21T20:25:17.4308718Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:25:17.4309753Z   copying extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c
2025-03-21T20:25:17.4310721Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:17.4311796Z   copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:17.4313720Z   copying extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:17.4314888Z   copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test
2025-03-21T20:25:17.4315740Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:25:17.4316720Z   copying extension/pytree/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test
2025-03-21T20:25:17.4317585Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:25:17.4318491Z   copying extension/training/pybindings/_training_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:25:17.4319418Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:25:17.4320744Z   copying extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:25:17.4322867Z   copying extension/training/examples/XOR/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR
2025-03-21T20:25:17.4324885Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:25:17.4326089Z   copying extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test
2025-03-21T20:25:17.4327098Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:25:17.4328211Z   copying extension/training/pybindings/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test
2025-03-21T20:25:17.4329085Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:25:17.4329810Z   copying kernels/quantized/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:25:17.4330545Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:17.4331718Z   copying kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:17.4333598Z   copying kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:17.4334470Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-03-21T20:25:17.4649387Z   copying devtools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools
2025-03-21T20:25:17.4650385Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:25:17.4651155Z   copying devtools/backend_debug/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:25:17.4652549Z   copying devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug
2025-03-21T20:25:17.4654017Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:17.4655035Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:17.4655995Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:17.4656942Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:17.4657731Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:25:17.4658494Z   copying devtools/debug_format/base_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:25:17.4659400Z   copying devtools/debug_format/et_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format
2025-03-21T20:25:17.4660146Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:17.4660885Z   copying devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:17.4662358Z   copying devtools/etdump/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:17.4663861Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:25:17.4664696Z   copying devtools/etrecord/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:25:17.4665542Z   copying devtools/etrecord/_etrecord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord
2025-03-21T20:25:17.4666276Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:17.4667009Z   copying devtools/inspector/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:17.4667876Z   copying devtools/inspector/_inspector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:17.4668782Z   copying devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:17.4670009Z   copying devtools/inspector/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector
2025-03-21T20:25:17.4671552Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:25:17.4673269Z   copying devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:25:17.4675433Z   copying devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool
2025-03-21T20:25:17.4677154Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:17.4678685Z   copying devtools/visualization/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:17.4680666Z   copying devtools/visualization/visualization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:17.4682885Z   copying devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization
2025-03-21T20:25:17.4684626Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:25:17.4686404Z   copying devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests
2025-03-21T20:25:17.4688209Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:17.4689946Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:17.4692213Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:17.4694151Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:17.4696007Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:17.4697793Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:17.4699571Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:17.4701739Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:17.4703867Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:17.4705608Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:25:17.4707328Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:25:17.4709240Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:25:17.4711292Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:25:17.4713251Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:25:17.4715316Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:25:17.4717210Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:25:17.4718786Z   copying devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests
2025-03-21T20:25:17.4720383Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:25:17.4722012Z   copying devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests
2025-03-21T20:25:17.4723778Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:17.4725684Z   copying devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:17.4727763Z   copying devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:17.4729888Z   copying devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests
2025-03-21T20:25:17.4731910Z   copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:17.4733733Z   copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:17.4735594Z   copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program
2025-03-21T20:25:17.4737565Z   copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:17.4739808Z   copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:17.4742135Z   copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:17.4744358Z   copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:17.4746518Z   copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:17.4748659Z   copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test
2025-03-21T20:25:17.4750783Z   copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util
2025-03-21T20:25:17.4753022Z   copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test
2025-03-21T20:25:17.4755510Z   copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test
2025-03-21T20:25:17.4757284Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-03-21T20:25:17.4758398Z   copying runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime
2025-03-21T20:25:17.4759567Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test
2025-03-21T20:25:17.4760879Z   copying runtime/test/test_runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test
2025-03-21T20:25:17.4762382Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:18.2713093Z   copying util/activation_memory_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:18.2713879Z   copying util/collect_env.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:18.2714553Z   copying util/python_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util
2025-03-21T20:25:18.2715061Z   running egg_info
2025-03-21T20:25:18.2715324Z   creating executorch.egg-info
2025-03-21T20:25:18.2715655Z   writing executorch.egg-info/PKG-INFO
2025-03-21T20:25:18.2716118Z   writing dependency_links to executorch.egg-info/dependency_links.txt
2025-03-21T20:25:18.2716661Z   writing entry points to executorch.egg-info/entry_points.txt
2025-03-21T20:25:18.2717152Z   writing requirements to executorch.egg-info/requires.txt
2025-03-21T20:25:18.2717640Z   writing top-level names to executorch.egg-info/top_level.txt
2025-03-21T20:25:18.2718127Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:25:18.2718691Z   reading manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:25:18.2719141Z   adding license file 'LICENSE'
2025-03-21T20:25:18.2719514Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2025-03-21T20:25:18.2720267Z   copying backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml
2025-03-21T20:25:18.2721376Z   copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization
2025-03-21T20:25:18.2722477Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema
2025-03-21T20:25:18.2723629Z   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
2025-03-21T20:25:18.2724985Z   copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:18.2725977Z   copying backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:18.2727029Z   copying backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot
2025-03-21T20:25:18.2728117Z   copying backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization
2025-03-21T20:25:18.2729018Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:25:18.2729826Z   copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir
2025-03-21T20:25:18.2730844Z   copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization
2025-03-21T20:25:18.2731782Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2732861Z   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
2025-03-21T20:25:18.2734244Z   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
2025-03-21T20:25:18.2735630Z   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
2025-03-21T20:25:18.2736955Z   copying backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2738215Z   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
2025-03-21T20:25:18.2739752Z   copying backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2741048Z   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
2025-03-21T20:25:18.2742428Z   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
2025-03-21T20:25:18.2743830Z   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
2025-03-21T20:25:18.2745285Z   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
2025-03-21T20:25:18.2746578Z   copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2747857Z   copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2749116Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2750371Z   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
2025-03-21T20:25:18.2751693Z   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
2025-03-21T20:25:18.2753196Z   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
2025-03-21T20:25:18.2754613Z   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
2025-03-21T20:25:18.2756017Z   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
2025-03-21T20:25:18.2757350Z   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
2025-03-21T20:25:18.2758658Z   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
2025-03-21T20:25:18.2760067Z   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
2025-03-21T20:25:18.2761597Z   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
2025-03-21T20:25:18.2762988Z   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
2025-03-21T20:25:18.2764311Z   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
2025-03-21T20:25:18.2765655Z   copying backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2766928Z   copying backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2768251Z   copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.2769683Z   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
2025-03-21T20:25:18.2770990Z   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
2025-03-21T20:25:18.2772296Z   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
2025-03-21T20:25:18.2773637Z   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
2025-03-21T20:25:18.2774965Z   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
2025-03-21T20:25:18.2776271Z   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
2025-03-21T20:25:18.2777582Z   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
2025-03-21T20:25:18.2779008Z   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
2025-03-21T20:25:18.2780476Z   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
2025-03-21T20:25:18.3101070Z   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
2025-03-21T20:25:18.3110579Z   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
2025-03-21T20:25:18.3112048Z   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
2025-03-21T20:25:18.3113379Z   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
2025-03-21T20:25:18.3114672Z   copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.3116224Z   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
2025-03-21T20:25:18.3117497Z   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
2025-03-21T20:25:18.3118830Z   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
2025-03-21T20:25:18.3120144Z   copying backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.3121446Z   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
2025-03-21T20:25:18.3122947Z   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
2025-03-21T20:25:18.3126174Z   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
2025-03-21T20:25:18.3127870Z   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
2025-03-21T20:25:18.3129244Z   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
2025-03-21T20:25:18.3130577Z   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
2025-03-21T20:25:18.3132164Z   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
2025-03-21T20:25:18.3133504Z   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
2025-03-21T20:25:18.3134830Z   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
2025-03-21T20:25:18.3136172Z   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
2025-03-21T20:25:18.3137493Z   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
2025-03-21T20:25:18.3138824Z   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
2025-03-21T20:25:18.3140384Z   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
2025-03-21T20:25:18.3141694Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.3142979Z   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
2025-03-21T20:25:18.3144296Z   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
2025-03-21T20:25:18.3145604Z   copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.3146560Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:25:18.3147533Z   copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl
2025-03-21T20:25:18.3148541Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:18.3149548Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:18.3150790Z   copying backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:18.3152024Z   copying backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:18.3153242Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:18.3154509Z   copying backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:18.3155972Z   copying backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl
2025-03-21T20:25:18.3157375Z   copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:18.3158514Z   copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization
2025-03-21T20:25:18.3159688Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party
2025-03-21T20:25:18.3160865Z   copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16
2025-03-21T20:25:18.3162021Z   copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv
2025-03-21T20:25:18.3163396Z   copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo
2025-03-21T20:25:18.3164768Z   copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool
2025-03-21T20:25:18.3166189Z   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
2025-03-21T20:25:18.3167679Z   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
2025-03-21T20:25:18.3168801Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test
2025-03-21T20:25:18.3169910Z   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
2025-03-21T20:25:18.3171506Z   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
2025-03-21T20:25:18.3172917Z   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
2025-03-21T20:25:18.3174337Z   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
2025-03-21T20:25:18.3175786Z   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
2025-03-21T20:25:18.3177206Z   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
2025-03-21T20:25:18.3178602Z   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
2025-03-21T20:25:18.3180201Z   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
2025-03-21T20:25:18.3537596Z   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
2025-03-21T20:25:18.3540184Z   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
2025-03-21T20:25:18.3542916Z   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
2025-03-21T20:25:18.3544755Z   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
2025-03-21T20:25:18.3546394Z   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
2025-03-21T20:25:18.3547704Z   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
2025-03-21T20:25:18.3549022Z   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
2025-03-21T20:25:18.3550433Z   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
2025-03-21T20:25:18.3551813Z   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
2025-03-21T20:25:18.3553224Z   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
2025-03-21T20:25:18.3554632Z   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
2025-03-21T20:25:18.3555994Z   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
2025-03-21T20:25:18.3557361Z   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
2025-03-21T20:25:18.3558894Z   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
2025-03-21T20:25:18.3560296Z   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
2025-03-21T20:25:18.3561686Z   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
2025-03-21T20:25:18.3563112Z   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
2025-03-21T20:25:18.3564447Z   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
2025-03-21T20:25:18.3565810Z   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
2025-03-21T20:25:18.3567305Z   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
2025-03-21T20:25:18.3568698Z   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
2025-03-21T20:25:18.3570071Z   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
2025-03-21T20:25:18.3571446Z   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
2025-03-21T20:25:18.3572856Z   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
2025-03-21T20:25:18.3574238Z   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
2025-03-21T20:25:18.3575774Z   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
2025-03-21T20:25:18.3577202Z   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
2025-03-21T20:25:18.3578606Z   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
2025-03-21T20:25:18.3579979Z   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
2025-03-21T20:25:18.3581377Z   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
2025-03-21T20:25:18.3582877Z   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
2025-03-21T20:25:18.3584314Z   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
2025-03-21T20:25:18.3585717Z   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
2025-03-21T20:25:18.3587032Z   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
2025-03-21T20:25:18.3588327Z   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
2025-03-21T20:25:18.3589651Z   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
2025-03-21T20:25:18.3590987Z   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
2025-03-21T20:25:18.3592325Z   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
2025-03-21T20:25:18.3593731Z   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
2025-03-21T20:25:18.3595168Z   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
2025-03-21T20:25:18.3596596Z   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
2025-03-21T20:25:18.3598024Z   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
2025-03-21T20:25:18.3599557Z   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
2025-03-21T20:25:18.3601016Z   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
2025-03-21T20:25:18.3602544Z   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
2025-03-21T20:25:18.3604009Z   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
2025-03-21T20:25:18.3605622Z   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
2025-03-21T20:25:18.3607109Z   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
2025-03-21T20:25:18.3608601Z   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
2025-03-21T20:25:18.3818592Z   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
2025-03-21T20:25:18.3820323Z   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
2025-03-21T20:25:18.3821819Z   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
2025-03-21T20:25:18.3823294Z   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
2025-03-21T20:25:18.3824926Z   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
2025-03-21T20:25:18.3826306Z   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
2025-03-21T20:25:18.3827726Z   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
2025-03-21T20:25:18.3829287Z   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
2025-03-21T20:25:18.3830978Z   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
2025-03-21T20:25:18.3832513Z   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
2025-03-21T20:25:18.3834099Z   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
2025-03-21T20:25:18.3835428Z   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
2025-03-21T20:25:18.3836783Z   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
2025-03-21T20:25:18.3838142Z   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
2025-03-21T20:25:18.3839495Z   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
2025-03-21T20:25:18.3840806Z   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
2025-03-21T20:25:18.3842095Z   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
2025-03-21T20:25:18.3843554Z   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
2025-03-21T20:25:18.3845261Z   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
2025-03-21T20:25:18.3846751Z   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
2025-03-21T20:25:18.3848276Z   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
2025-03-21T20:25:18.3849813Z   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
2025-03-21T20:25:18.3851369Z   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
2025-03-21T20:25:18.3853033Z   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
2025-03-21T20:25:18.3854511Z   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
2025-03-21T20:25:18.3855989Z   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
2025-03-21T20:25:18.3857444Z   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
2025-03-21T20:25:18.3858948Z   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
2025-03-21T20:25:18.3860488Z   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
2025-03-21T20:25:18.3862355Z   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
2025-03-21T20:25:18.3864123Z   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
2025-03-21T20:25:18.3865676Z   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
2025-03-21T20:25:18.3867304Z   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
2025-03-21T20:25:18.3868747Z   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
2025-03-21T20:25:18.3870393Z   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
2025-03-21T20:25:18.3871853Z   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
2025-03-21T20:25:18.3873428Z   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
2025-03-21T20:25:18.3874952Z   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
2025-03-21T20:25:18.3876646Z   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
2025-03-21T20:25:18.3878122Z   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
2025-03-21T20:25:18.3879556Z   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
2025-03-21T20:25:18.3881087Z   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
2025-03-21T20:25:18.3882791Z   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
2025-03-21T20:25:18.3884394Z   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
2025-03-21T20:25:18.3885837Z   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
2025-03-21T20:25:18.3887093Z   copying examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:18.3888188Z   copying examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:18.3889240Z   copying examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning
2025-03-21T20:25:18.4637188Z   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
2025-03-21T20:25:18.4638543Z   copying exir/delegate.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir
2025-03-21T20:25:18.4639301Z   copying exir/_serialize/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:18.4640174Z   copying exir/_serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize
2025-03-21T20:25:18.4641138Z   copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge
2025-03-21T20:25:18.4642039Z   copying extension/pybindings/pybindings.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings
2025-03-21T20:25:18.4643298Z   copying extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:18.4644448Z   copying extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:18.4646011Z   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
2025-03-21T20:25:18.4647867Z   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
2025-03-21T20:25:18.4649327Z   copying extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings
2025-03-21T20:25:18.4650371Z   copying kernels/quantized/quantized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized
2025-03-21T20:25:18.4651491Z   copying kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test
2025-03-21T20:25:18.4652466Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:25:18.4653228Z   copying schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:25:18.4653955Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema
2025-03-21T20:25:18.4654778Z   copying devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:18.4655792Z   copying devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump
2025-03-21T20:25:18.4656954Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:18.4658341Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:18.4659519Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:18.4660887Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema
2025-03-21T20:25:18.4661748Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:25:18.4662526Z   copying runtime/kernel/test/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test
2025-03-21T20:25:18.4663838Z   copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:18.4665046Z   copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize
2025-03-21T20:25:18.4666101Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake
2025-03-21T20:25:18.4666985Z   copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake/executorch-config.cmake
2025-03-21T20:25:18.4667976Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4668875Z   copying runtime/core/array_ref.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4669802Z   copying runtime/core/data_loader.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4670908Z   copying runtime/core/defines.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4671807Z   copying runtime/core/error.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4672833Z   copying runtime/core/evalue.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4673747Z   copying runtime/core/event_tracer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4674698Z   copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4675875Z   copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4676887Z   copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4677984Z   copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4679047Z   copying runtime/core/memory_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4680002Z   copying runtime/core/named_data_map.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4681302Z   copying runtime/core/result.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4682191Z   copying runtime/core/span.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4683262Z   copying runtime/core/tag.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4684248Z   copying runtime/core/tensor_layout.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4685225Z   copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core
2025-03-21T20:25:18.4686315Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:25:18.4687267Z   copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten
2025-03-21T20:25:18.4688341Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util
2025-03-21T20:25:18.4689754Z   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
2025-03-21T20:25:18.4691361Z   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
2025-03-21T20:25:18.4692516Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util
2025-03-21T20:25:18.4693747Z   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
2025-03-21T20:25:18.4695077Z   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
2025-03-21T20:25:18.4696581Z   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
2025-03-21T20:25:18.4697926Z   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
2025-03-21T20:25:18.4699360Z   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
2025-03-21T20:25:18.4700465Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4701698Z   copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4703030Z   copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4704544Z   copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4705774Z   copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4706936Z   copying runtime/core/portable_type/device.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4852376Z   copying runtime/core/portable_type/half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4853639Z   copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4855277Z   copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4856953Z   copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4858747Z   copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4860656Z   copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4862133Z   copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4863752Z   copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4865413Z   copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type
2025-03-21T20:25:18.4866848Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros
2025-03-21T20:25:18.4868406Z   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
2025-03-21T20:25:18.4870251Z   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
2025-03-21T20:25:18.4871899Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:25:18.4873477Z   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
2025-03-21T20:25:18.4875499Z   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
2025-03-21T20:25:18.4877486Z   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
2025-03-21T20:25:18.4879429Z   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
2025-03-21T20:25:18.4881279Z   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
2025-03-21T20:25:18.4883339Z   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
2025-03-21T20:25:18.4885371Z   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
2025-03-21T20:25:18.4887435Z   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
2025-03-21T20:25:18.4889502Z   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
2025-03-21T20:25:18.4890980Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:18.4892195Z   copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:18.4893677Z   copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:18.4895362Z   copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:18.4896972Z   copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel
2025-03-21T20:25:18.4898264Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:25:18.4899475Z   copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test
2025-03-21T20:25:18.4900680Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4901897Z   copying runtime/platform/abort.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4903347Z   copying runtime/platform/assert.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4904667Z   copying runtime/platform/clock.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4905992Z   copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4907379Z   copying runtime/platform/compiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4908716Z   copying runtime/platform/log.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4910083Z   copying runtime/platform/platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4911512Z   copying runtime/platform/profiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4912819Z   copying runtime/platform/runtime.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4914184Z   copying runtime/platform/system.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4915665Z   copying runtime/platform/types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform
2025-03-21T20:25:18.4916894Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:25:18.4918205Z   copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test
2025-03-21T20:25:18.4919634Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:18.4920913Z   copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:18.4922647Z   copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:18.4924486Z   copying extension/kernel_util/type_list.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:18.4926038Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:18.4927404Z   copying extension/tensor/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:18.4929000Z   copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:18.4930602Z   copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:18.4932199Z   copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor
2025-03-21T20:25:18.4934059Z   creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:18.4935601Z   copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:18.4937377Z   copying extension/threadpool/threadpool.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:18.4939157Z   copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:18.4940310Z   running build_ext
2025-03-21T20:25:18.4940989Z   creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-03-21T20:25:18.4942057Z   creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin
2025-03-21T20:25:18.4943778Z   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
2025-03-21T20:25:18.5274288Z   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
2025-03-21T20:25:18.5276346Z   copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py
2025-03-21T20:25:18.5278006Z   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
2025-03-21T20:25:18.5279988Z   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
2025-03-21T20:25:18.5281399Z   installing to pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:25:18.5282046Z   running install
2025-03-21T20:25:18.5282438Z   running install_lib
2025-03-21T20:25:18.5282772Z   creating pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:25:18.5283165Z   creating pip-out/bdist.linux-x86_64/wheel/executorch
2025-03-21T20:25:18.5283812Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends
2025-03-21T20:25:18.5284399Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2025-03-21T20:25:18.5285361Z   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
2025-03-21T20:25:18.5286835Z   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
2025-03-21T20:25:18.5288289Z   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
2025-03-21T20:25:18.5289760Z   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
2025-03-21T20:25:18.5291171Z   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
2025-03-21T20:25:18.5292627Z   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
2025-03-21T20:25:18.5294052Z   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
2025-03-21T20:25:18.5295449Z   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
2025-03-21T20:25:18.5296995Z   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
2025-03-21T20:25:18.5298589Z   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
2025-03-21T20:25:18.5299993Z   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
2025-03-21T20:25:18.5301068Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/_passes
2025-03-21T20:25:18.5302097Z   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
2025-03-21T20:25:18.5303697Z   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
2025-03-21T20:25:18.5305457Z   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
2025-03-21T20:25:18.5307104Z   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
2025-03-21T20:25:18.5308593Z   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
2025-03-21T20:25:18.5310075Z   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
2025-03-21T20:25:18.5311588Z   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
2025-03-21T20:25:18.5313326Z   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
2025-03-21T20:25:18.5315012Z   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
2025-03-21T20:25:18.5316713Z   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
2025-03-21T20:25:18.5318218Z   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
2025-03-21T20:25:18.5319688Z   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
2025-03-21T20:25:18.5321178Z   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
2025-03-21T20:25:18.5322728Z   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
2025-03-21T20:25:18.5324207Z   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
2025-03-21T20:25:18.5325913Z   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
2025-03-21T20:25:18.5327532Z   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
2025-03-21T20:25:18.5329595Z   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
2025-03-21T20:25:18.5331211Z   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
2025-03-21T20:25:18.5332756Z   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
2025-03-21T20:25:18.5334277Z   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
2025-03-21T20:25:18.5335878Z   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
2025-03-21T20:25:18.5337520Z   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
2025-03-21T20:25:18.5339111Z   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
2025-03-21T20:25:18.5340759Z   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
2025-03-21T20:25:18.5342303Z   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
2025-03-21T20:25:18.5343940Z   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
2025-03-21T20:25:18.5345526Z   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
2025-03-21T20:25:18.5347050Z   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
2025-03-21T20:25:18.5348623Z   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
2025-03-21T20:25:18.5351228Z   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
2025-03-21T20:25:18.5352996Z   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
2025-03-21T20:25:18.5354615Z   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
2025-03-21T20:25:18.5356392Z   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
2025-03-21T20:25:18.5358147Z   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
2025-03-21T20:25:18.5359921Z   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
2025-03-21T20:25:18.5361738Z   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
2025-03-21T20:25:18.5363836Z   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
2025-03-21T20:25:18.5365172Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operator_support
2025-03-21T20:25:18.5366587Z   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
2025-03-21T20:25:18.5368463Z   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
2025-03-21T20:25:18.5370228Z   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
2025-03-21T20:25:18.5372133Z   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
2025-03-21T20:25:18.5373974Z   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
2025-03-21T20:25:18.5376031Z   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
2025-03-21T20:25:18.5377915Z   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
2025-03-21T20:25:18.5379771Z   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
2025-03-21T20:25:18.5381715Z   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
2025-03-21T20:25:18.5383025Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2025-03-21T20:25:18.5384210Z   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
2025-03-21T20:25:18.5385877Z   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
2025-03-21T20:25:18.5387531Z   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
2025-03-21T20:25:18.5389145Z   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
2025-03-21T20:25:18.5390852Z   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
2025-03-21T20:25:18.5392423Z   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
2025-03-21T20:25:18.5394090Z   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
2025-03-21T20:25:18.5395846Z   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
2025-03-21T20:25:18.5397638Z   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
2025-03-21T20:25:18.5399474Z   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
2025-03-21T20:25:18.5401201Z   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
2025-03-21T20:25:18.5403044Z   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
2025-03-21T20:25:18.5404740Z   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
2025-03-21T20:25:18.5406372Z   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
2025-03-21T20:25:18.5408148Z   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
2025-03-21T20:25:18.5409655Z   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
2025-03-21T20:25:18.5411066Z   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
2025-03-21T20:25:18.5412589Z   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
2025-03-21T20:25:18.5414093Z   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
2025-03-21T20:25:18.5415597Z   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
2025-03-21T20:25:18.5417216Z   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
2025-03-21T20:25:18.5418737Z   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
2025-03-21T20:25:18.5420385Z   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
2025-03-21T20:25:18.5422023Z   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
2025-03-21T20:25:18.5423731Z   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
2025-03-21T20:25:18.5425737Z   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
2025-03-21T20:25:18.5427391Z   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
2025-03-21T20:25:18.5428918Z   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
2025-03-21T20:25:18.5430481Z   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
2025-03-21T20:25:18.5432118Z   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
2025-03-21T20:25:18.5433834Z   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
2025-03-21T20:25:18.5435479Z   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
2025-03-21T20:25:18.5437060Z   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
2025-03-21T20:25:18.5438736Z   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
2025-03-21T20:25:18.5440238Z   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
2025-03-21T20:25:18.5441657Z   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
2025-03-21T20:25:18.5443106Z   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
2025-03-21T20:25:18.5444550Z   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
2025-03-21T20:25:18.5445987Z   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
2025-03-21T20:25:18.5447469Z   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
2025-03-21T20:25:18.5449011Z   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
2025-03-21T20:25:18.5450582Z   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
2025-03-21T20:25:18.5452118Z   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
2025-03-21T20:25:18.5453607Z   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
2025-03-21T20:25:18.5455106Z   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
2025-03-21T20:25:18.5456167Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer
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2025-03-21T20:25:18.5458732Z   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
2025-03-21T20:25:18.5460257Z   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
2025-03-21T20:25:18.5461873Z   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
2025-03-21T20:25:18.5463483Z   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
2025-03-21T20:25:18.5464716Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2025-03-21T20:25:18.5465821Z   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
2025-03-21T20:25:18.5467159Z   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
2025-03-21T20:25:18.5468592Z   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
2025-03-21T20:25:18.5470004Z   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
2025-03-21T20:25:18.5471009Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc
2025-03-21T20:25:18.5472160Z   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
2025-03-21T20:25:18.5473735Z   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
2025-03-21T20:25:18.5475269Z   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
2025-03-21T20:25:18.5476788Z   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
2025-03-21T20:25:18.5478461Z   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
2025-03-21T20:25:18.5480046Z   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
2025-03-21T20:25:18.5481647Z   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
2025-03-21T20:25:18.5483399Z   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
2025-03-21T20:25:18.5485039Z   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
2025-03-21T20:25:18.5486124Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models
2025-03-21T20:25:18.5487216Z   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
2025-03-21T20:25:18.5488930Z   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
2025-03-21T20:25:18.5490467Z   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
2025-03-21T20:25:18.5492091Z   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
2025-03-21T20:25:18.5493752Z   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
2025-03-21T20:25:18.5495530Z   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
2025-03-21T20:25:18.5497347Z   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
2025-03-21T20:25:18.5498994Z   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
2025-03-21T20:25:18.5500654Z   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
2025-03-21T20:25:18.5502365Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2025-03-21T20:25:18.5503372Z   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
2025-03-21T20:25:18.5504895Z   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
2025-03-21T20:25:18.5506451Z   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
2025-03-21T20:25:18.5507981Z   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
2025-03-21T20:25:18.5509503Z   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
2025-03-21T20:25:18.5511044Z   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
2025-03-21T20:25:18.5512606Z   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
2025-03-21T20:25:18.5514186Z   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
2025-03-21T20:25:18.5515719Z   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
2025-03-21T20:25:18.5517218Z   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
2025-03-21T20:25:18.5518727Z   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
2025-03-21T20:25:18.5520196Z   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
2025-03-21T20:25:18.5521706Z   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
2025-03-21T20:25:18.5523411Z   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
2025-03-21T20:25:18.5525163Z   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
2025-03-21T20:25:18.5526780Z   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
2025-03-21T20:25:18.5528408Z   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
2025-03-21T20:25:18.5530292Z   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
2025-03-21T20:25:18.5531918Z   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
2025-03-21T20:25:18.5533353Z   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
2025-03-21T20:25:18.5534916Z   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
2025-03-21T20:25:18.5536511Z   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
2025-03-21T20:25:18.5538085Z   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
2025-03-21T20:25:18.5539605Z   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
2025-03-21T20:25:18.5541138Z   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
2025-03-21T20:25:18.5542699Z   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
2025-03-21T20:25:18.5544223Z   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
2025-03-21T20:25:18.5545757Z   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
2025-03-21T20:25:18.5547281Z   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
2025-03-21T20:25:18.5548785Z   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
2025-03-21T20:25:18.5550114Z   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
2025-03-21T20:25:18.5551557Z   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
2025-03-21T20:25:18.5553125Z   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
2025-03-21T20:25:18.5554723Z   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
2025-03-21T20:25:18.5556326Z   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
2025-03-21T20:25:18.5557908Z   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
2025-03-21T20:25:18.5559384Z   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
2025-03-21T20:25:18.5561009Z   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
2025-03-21T20:25:18.5562820Z   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
2025-03-21T20:25:18.5564317Z   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
2025-03-21T20:25:18.5565775Z   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
2025-03-21T20:25:18.5567436Z   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
2025-03-21T20:25:18.5569091Z   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
2025-03-21T20:25:18.5570663Z   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
2025-03-21T20:25:18.5572253Z   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
2025-03-21T20:25:18.5573816Z   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
2025-03-21T20:25:18.5575369Z   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
2025-03-21T20:25:18.5576974Z   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
2025-03-21T20:25:18.5578567Z   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
2025-03-21T20:25:18.5580228Z   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
2025-03-21T20:25:18.5581864Z   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
2025-03-21T20:25:18.5583959Z   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
2025-03-21T20:25:18.5585500Z   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
2025-03-21T20:25:18.5587142Z   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
2025-03-21T20:25:18.5588760Z   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
2025-03-21T20:25:18.5590348Z   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
2025-03-21T20:25:18.5591917Z   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
2025-03-21T20:25:18.5593409Z   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
2025-03-21T20:25:18.5594820Z   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
2025-03-21T20:25:18.5596454Z   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
2025-03-21T20:25:18.5597956Z   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
2025-03-21T20:25:18.5599500Z   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
2025-03-21T20:25:18.5601011Z   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
2025-03-21T20:25:18.5602482Z   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
2025-03-21T20:25:18.5603572Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/passes
2025-03-21T20:25:18.5604774Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/passes
2025-03-21T20:25:18.5606465Z   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
2025-03-21T20:25:18.5608158Z   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
2025-03-21T20:25:18.5609869Z   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
2025-03-21T20:25:18.5611636Z   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
2025-03-21T20:25:18.5613395Z   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
2025-03-21T20:25:18.5615149Z   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
2025-03-21T20:25:18.5616917Z   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
2025-03-21T20:25:18.5618819Z   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
2025-03-21T20:25:18.5620614Z   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
2025-03-21T20:25:18.5622038Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/quantizer
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2025-03-21T20:25:18.5625059Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester
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2025-03-21T20:25:18.5628156Z   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
2025-03-21T20:25:18.5630031Z   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
2025-03-21T20:25:18.5631783Z   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
2025-03-21T20:25:18.5633167Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil
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2025-03-21T20:25:18.5635589Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/util
2025-03-21T20:25:18.5636791Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util/arm_model_evaluator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/util
2025-03-21T20:25:18.5637946Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party
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2025-03-21T20:25:18.5641954Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python
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2025-03-21T20:25:18.5647822Z   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
2025-03-21T20:25:18.5649710Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5651646Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5654105Z   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
2025-03-21T20:25:18.5656506Z   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
2025-03-21T20:25:18.5658744Z   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
2025-03-21T20:25:18.5661150Z   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
2025-03-21T20:25:18.5663470Z   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
2025-03-21T20:25:18.5665755Z   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
2025-03-21T20:25:18.5668269Z   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
2025-03-21T20:25:18.5670462Z   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
2025-03-21T20:25:18.5672825Z   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
2025-03-21T20:25:18.5675180Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5677346Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5679598Z   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
2025-03-21T20:25:18.5681667Z   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
2025-03-21T20:25:18.5683891Z   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
2025-03-21T20:25:18.5686045Z   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
2025-03-21T20:25:18.5688270Z   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
2025-03-21T20:25:18.5690422Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5692704Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5694848Z   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
2025-03-21T20:25:18.5697085Z   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
2025-03-21T20:25:18.5699181Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5701551Z   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
2025-03-21T20:25:18.5703676Z   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
2025-03-21T20:25:18.5705922Z   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
2025-03-21T20:25:18.5708011Z   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
2025-03-21T20:25:18.5710133Z   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
2025-03-21T20:25:18.5712469Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5714727Z   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
2025-03-21T20:25:18.5717480Z   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
2025-03-21T20:25:18.5720109Z   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
2025-03-21T20:25:18.5722489Z   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
2025-03-21T20:25:18.5724877Z   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
2025-03-21T20:25:18.5727080Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/tosa
2025-03-21T20:25:18.5728551Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test
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2025-03-21T20:25:18.5745337Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/test_example_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example
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2025-03-21T20:25:18.5751909Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
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2025-03-21T20:25:18.5755382Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/add.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:18.5757275Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/conv2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:18.5759152Z   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
2025-03-21T20:25:18.5761116Z   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
2025-03-21T20:25:18.5762989Z   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
2025-03-21T20:25:18.5764945Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators
2025-03-21T20:25:18.5766961Z   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
2025-03-21T20:25:18.5768700Z   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
2025-03-21T20:25:18.5770470Z   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
2025-03-21T20:25:18.5771839Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek
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2025-03-21T20:25:18.5774172Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek
2025-03-21T20:25:18.5775571Z   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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2025-03-21T20:25:18.5779326Z   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
2025-03-21T20:25:18.5780566Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/quantizer
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2025-03-21T20:25:18.5783365Z   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
2025-03-21T20:25:18.5785023Z   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
2025-03-21T20:25:18.5786786Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer
2025-03-21T20:25:18.5788409Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm
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2025-03-21T20:25:18.5792988Z   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
2025-03-21T20:25:18.5794664Z   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
2025-03-21T20:25:18.5796247Z   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
2025-03-21T20:25:18.5797886Z   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
2025-03-21T20:25:18.5799463Z   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
2025-03-21T20:25:18.5801346Z   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
2025-03-21T20:25:18.5803261Z   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
2025-03-21T20:25:18.5804854Z   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
2025-03-21T20:25:18.5806431Z   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
2025-03-21T20:25:18.5808066Z   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
2025-03-21T20:25:18.5809688Z   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
2025-03-21T20:25:18.5811351Z   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
2025-03-21T20:25:18.5812957Z   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
2025-03-21T20:25:18.5814599Z   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
2025-03-21T20:25:18.5816242Z   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
2025-03-21T20:25:18.5817848Z   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
2025-03-21T20:25:18.5819563Z   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
2025-03-21T20:25:18.5821336Z   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
2025-03-21T20:25:18.5823122Z   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
2025-03-21T20:25:18.5825051Z   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
2025-03-21T20:25:18.5826911Z   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
2025-03-21T20:25:18.5828598Z   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
2025-03-21T20:25:18.5830478Z   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
2025-03-21T20:25:18.5832358Z   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
2025-03-21T20:25:18.5834182Z   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
2025-03-21T20:25:18.5836016Z   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
2025-03-21T20:25:18.5837740Z   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
2025-03-21T20:25:18.5838973Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
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2025-03-21T20:25:18.5841786Z   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
2025-03-21T20:25:18.5843481Z   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
2025-03-21T20:25:18.5845117Z   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
2025-03-21T20:25:18.5846812Z   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
2025-03-21T20:25:18.5848594Z   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
2025-03-21T20:25:18.5850287Z   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
2025-03-21T20:25:18.5852055Z   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
2025-03-21T20:25:18.5853723Z   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
2025-03-21T20:25:18.5855299Z   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
2025-03-21T20:25:18.5856904Z   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
2025-03-21T20:25:18.5858829Z   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
2025-03-21T20:25:18.5860528Z   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
2025-03-21T20:25:18.5862086Z   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
2025-03-21T20:25:18.5863595Z   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
2025-03-21T20:25:18.5865239Z   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
2025-03-21T20:25:18.5866867Z   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
2025-03-21T20:25:18.5868519Z   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
2025-03-21T20:25:18.5870272Z   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
2025-03-21T20:25:18.5871932Z   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
2025-03-21T20:25:18.5873513Z   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
2025-03-21T20:25:18.5875113Z   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
2025-03-21T20:25:18.5876845Z   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
2025-03-21T20:25:18.5878497Z   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
2025-03-21T20:25:18.5880144Z   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
2025-03-21T20:25:18.5881996Z   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
2025-03-21T20:25:18.5883783Z   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
2025-03-21T20:25:18.5885379Z   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
2025-03-21T20:25:18.5887167Z   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
2025-03-21T20:25:18.5888735Z   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
2025-03-21T20:25:18.5890294Z   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
2025-03-21T20:25:18.5891901Z   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
2025-03-21T20:25:18.5893660Z   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
2025-03-21T20:25:18.5895349Z   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
2025-03-21T20:25:18.5897039Z   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
2025-03-21T20:25:18.5898546Z   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
2025-03-21T20:25:18.5900175Z   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
2025-03-21T20:25:18.5901791Z   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
2025-03-21T20:25:18.5903802Z   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
2025-03-21T20:25:18.5905384Z   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
2025-03-21T20:25:18.5906933Z   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
2025-03-21T20:25:18.5908539Z   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
2025-03-21T20:25:18.5910114Z   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
2025-03-21T20:25:18.5911767Z   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
2025-03-21T20:25:18.5913349Z   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
2025-03-21T20:25:18.5914964Z   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
2025-03-21T20:25:18.5916527Z   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
2025-03-21T20:25:18.5918153Z   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
2025-03-21T20:25:18.5919704Z   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
2025-03-21T20:25:18.5921389Z   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
2025-03-21T20:25:18.5922897Z   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
2025-03-21T20:25:18.5924487Z   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
2025-03-21T20:25:18.5926041Z   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
2025-03-21T20:25:18.5927579Z   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
2025-03-21T20:25:18.5929301Z   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
2025-03-21T20:25:18.5930846Z   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
2025-03-21T20:25:18.5932498Z   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
2025-03-21T20:25:18.5934086Z   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
2025-03-21T20:25:18.5935966Z   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
2025-03-21T20:25:18.5937639Z   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
2025-03-21T20:25:18.5939321Z   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
2025-03-21T20:25:18.5941125Z   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
2025-03-21T20:25:18.5942778Z   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
2025-03-21T20:25:18.5944858Z   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
2025-03-21T20:25:18.5946540Z   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
2025-03-21T20:25:18.5948286Z   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
2025-03-21T20:25:18.5949916Z   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
2025-03-21T20:25:18.5951651Z   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
2025-03-21T20:25:18.5953391Z   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
2025-03-21T20:25:18.5955051Z   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
2025-03-21T20:25:18.5956787Z   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
2025-03-21T20:25:18.5958402Z   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
2025-03-21T20:25:18.5959963Z   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
2025-03-21T20:25:18.5961462Z   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
2025-03-21T20:25:18.5963059Z   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
2025-03-21T20:25:18.5964626Z   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
2025-03-21T20:25:18.5966416Z   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
2025-03-21T20:25:18.5967997Z   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
2025-03-21T20:25:18.5969732Z   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
2025-03-21T20:25:18.5971422Z   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
2025-03-21T20:25:18.5972520Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/debugger
2025-03-21T20:25:18.5973776Z   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
2025-03-21T20:25:18.5975083Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition
2025-03-21T20:25:18.5976325Z   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
2025-03-21T20:25:18.5978127Z   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
2025-03-21T20:25:18.5979801Z   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
2025-03-21T20:25:18.5980896Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer
2025-03-21T20:25:18.5982056Z   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
2025-03-21T20:25:18.5983898Z   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
2025-03-21T20:25:18.5985545Z   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
2025-03-21T20:25:18.5987218Z   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
2025-03-21T20:25:18.5988473Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer/observers
2025-03-21T20:25:18.5989786Z   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
2025-03-21T20:25:18.5991221Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
2025-03-21T20:25:18.5992450Z   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
2025-03-21T20:25:18.5994371Z   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
2025-03-21T20:25:18.5996024Z   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
2025-03-21T20:25:18.5997278Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests
2025-03-21T20:25:18.5998306Z   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
2025-03-21T20:25:18.5999960Z   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
2025-03-21T20:25:18.6001700Z   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
2025-03-21T20:25:18.6003149Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils
2025-03-21T20:25:18.6004296Z   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
2025-03-21T20:25:18.6005808Z   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
2025-03-21T20:25:18.6006924Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot
2025-03-21T20:25:18.6007542Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir
2025-03-21T20:25:18.6008828Z   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
2025-03-21T20:25:18.6009958Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms
2025-03-21T20:25:18.6011114Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:18.6012565Z   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
2025-03-21T20:25:18.6014439Z   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
2025-03-21T20:25:18.6016313Z   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
2025-03-21T20:25:18.6017794Z   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
2025-03-21T20:25:18.6019398Z   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
2025-03-21T20:25:18.6020839Z   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
2025-03-21T20:25:18.6022270Z   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
2025-03-21T20:25:18.6023852Z   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
2025-03-21T20:25:18.6025561Z   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
2025-03-21T20:25:18.6027193Z   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
2025-03-21T20:25:18.6028718Z   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
2025-03-21T20:25:18.6030183Z   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
2025-03-21T20:25:18.6031635Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms
2025-03-21T20:25:18.6033117Z   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
2025-03-21T20:25:18.6034379Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test
2025-03-21T20:25:18.6035771Z   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
2025-03-21T20:25:18.6037625Z   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
2025-03-21T20:25:18.6039308Z   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
2025-03-21T20:25:18.6040427Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan
2025-03-21T20:25:18.6041480Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:25:18.6042932Z   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
2025-03-21T20:25:18.6044350Z   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
2025-03-21T20:25:18.6045783Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan
2025-03-21T20:25:18.6047278Z   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
2025-03-21T20:25:18.6048362Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/_passes
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2025-03-21T20:25:18.6051050Z   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
2025-03-21T20:25:18.6052801Z   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
2025-03-21T20:25:18.6054454Z   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
2025-03-21T20:25:18.6056023Z   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
2025-03-21T20:25:18.6057625Z   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
2025-03-21T20:25:18.6059292Z   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
2025-03-21T20:25:18.6060945Z   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
2025-03-21T20:25:18.6062030Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner
2025-03-21T20:25:18.6063254Z   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
2025-03-21T20:25:18.6064500Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/quantizer
2025-03-21T20:25:18.6065709Z   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
2025-03-21T20:25:18.6077482Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime
2025-03-21T20:25:18.6079348Z   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
2025-03-21T20:25:18.6080474Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph
2025-03-21T20:25:18.6081334Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops
2025-03-21T20:25:18.6082127Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.6083559Z   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
2025-03-21T20:25:18.6085563Z   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
2025-03-21T20:25:18.6087577Z   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
2025-03-21T20:25:18.6089420Z   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
2025-03-21T20:25:18.6091245Z   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
2025-03-21T20:25:18.6093072Z   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
2025-03-21T20:25:18.6094922Z   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
2025-03-21T20:25:18.6096843Z   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
2025-03-21T20:25:18.6098899Z   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
2025-03-21T20:25:18.6100922Z   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
2025-03-21T20:25:18.6102877Z   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
2025-03-21T20:25:18.6104880Z   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
2025-03-21T20:25:18.6106897Z   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
2025-03-21T20:25:18.6108893Z   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
2025-03-21T20:25:18.6110963Z   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
2025-03-21T20:25:18.6113048Z   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
2025-03-21T20:25:18.6115218Z   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
2025-03-21T20:25:18.6117250Z   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
2025-03-21T20:25:18.6119186Z   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
2025-03-21T20:25:18.6121028Z   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
2025-03-21T20:25:18.6123180Z   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
2025-03-21T20:25:18.6125646Z   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
2025-03-21T20:25:18.6127758Z   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
2025-03-21T20:25:18.6129931Z   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
2025-03-21T20:25:18.6131908Z   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
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2025-03-21T20:25:18.6135771Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.6137712Z   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
2025-03-21T20:25:18.6139706Z   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
2025-03-21T20:25:18.6141717Z   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
2025-03-21T20:25:18.6143947Z   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
2025-03-21T20:25:18.6146030Z   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
2025-03-21T20:25:18.6148467Z   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
2025-03-21T20:25:18.6150453Z   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
2025-03-21T20:25:18.6152473Z   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
2025-03-21T20:25:18.6154477Z   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
2025-03-21T20:25:18.6156919Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl
2025-03-21T20:25:18.6158716Z   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
2025-03-21T20:25:18.6160620Z   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
2025-03-21T20:25:18.6162629Z   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
2025-03-21T20:25:18.6164568Z   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
2025-03-21T20:25:18.6166456Z   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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2025-03-21T20:25:18.6172106Z   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
2025-03-21T20:25:18.6174023Z   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
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2025-03-21T20:25:18.6178268Z   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
2025-03-21T20:25:18.6180671Z   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
2025-03-21T20:25:18.6183091Z   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
2025-03-21T20:25:18.6185092Z   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
2025-03-21T20:25:18.6187146Z   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
2025-03-21T20:25:18.6189179Z   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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2025-03-21T20:25:18.6193373Z   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
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2025-03-21T20:25:18.6197311Z   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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2025-03-21T20:25:18.6201316Z   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
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2025-03-21T20:25:18.6221140Z   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
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2025-03-21T20:25:18.6225434Z   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
2025-03-21T20:25:18.6227308Z   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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2025-03-21T20:25:18.6232129Z   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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2025-03-21T20:25:18.6237762Z   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
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2025-03-21T20:25:18.6240818Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/glsl
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2025-03-21T20:25:18.6246794Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers
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2025-03-21T20:25:18.6278159Z   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
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2025-03-21T20:25:18.6281785Z   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
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2025-03-21T20:25:18.6293409Z   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
2025-03-21T20:25:18.6295099Z   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
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2025-03-21T20:25:18.6298325Z   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
2025-03-21T20:25:18.6299992Z   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
2025-03-21T20:25:18.6301769Z   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
2025-03-21T20:25:18.6303785Z   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
2025-03-21T20:25:18.6305635Z   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
2025-03-21T20:25:18.6307335Z   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
2025-03-21T20:25:18.6308950Z   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
2025-03-21T20:25:18.6310419Z   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
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2025-03-21T20:25:18.6315942Z   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
2025-03-21T20:25:18.6317821Z   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
2025-03-21T20:25:18.6319733Z   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
2025-03-21T20:25:18.6321513Z   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
2025-03-21T20:25:18.6323310Z   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
2025-03-21T20:25:18.6325144Z   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
2025-03-21T20:25:18.6326778Z   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
2025-03-21T20:25:18.6328495Z   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
2025-03-21T20:25:18.6330151Z   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
2025-03-21T20:25:18.6331847Z   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
2025-03-21T20:25:18.6333387Z   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
2025-03-21T20:25:18.6334885Z   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
2025-03-21T20:25:18.6336853Z   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
2025-03-21T20:25:18.6338507Z   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
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2025-03-21T20:25:18.6341846Z   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
2025-03-21T20:25:18.6343532Z   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
2025-03-21T20:25:18.6345264Z   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
2025-03-21T20:25:18.6347011Z   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
2025-03-21T20:25:18.6348758Z   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
2025-03-21T20:25:18.6350624Z   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
2025-03-21T20:25:18.6352604Z   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
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2025-03-21T20:25:18.6357751Z   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
2025-03-21T20:25:18.6359484Z   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
2025-03-21T20:25:18.6361112Z   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
2025-03-21T20:25:18.6362799Z   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
2025-03-21T20:25:18.6364423Z   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
2025-03-21T20:25:18.6366054Z   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
2025-03-21T20:25:18.6367717Z   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
2025-03-21T20:25:18.6369438Z   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
2025-03-21T20:25:18.6371137Z   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
2025-03-21T20:25:18.6372893Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators
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2025-03-21T20:25:18.6376212Z   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
2025-03-21T20:25:18.6378482Z   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
2025-03-21T20:25:18.6380303Z   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
2025-03-21T20:25:18.6381934Z   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
2025-03-21T20:25:18.6383746Z   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
2025-03-21T20:25:18.6385448Z   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
2025-03-21T20:25:18.6387652Z   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
2025-03-21T20:25:18.6389288Z   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
2025-03-21T20:25:18.6390881Z   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
2025-03-21T20:25:18.6392585Z   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
2025-03-21T20:25:18.6393888Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition
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2025-03-21T20:25:18.6398258Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/config
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2025-03-21T20:25:18.6401415Z   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
2025-03-21T20:25:18.6403334Z   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
2025-03-21T20:25:18.6405266Z   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
2025-03-21T20:25:18.6407335Z   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
2025-03-21T20:25:18.6409229Z   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
2025-03-21T20:25:18.6410669Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs
2025-03-21T20:25:18.6412003Z   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
2025-03-21T20:25:18.6413782Z   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
2025-03-21T20:25:18.6415055Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/quantizer
2025-03-21T20:25:18.6416250Z   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
2025-03-21T20:25:18.6418005Z   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
2025-03-21T20:25:18.6419288Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2025-03-21T20:25:18.6420791Z   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
2025-03-21T20:25:18.6422731Z   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
2025-03-21T20:25:18.6424821Z   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
2025-03-21T20:25:18.6426617Z   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
2025-03-21T20:25:18.6427767Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test
2025-03-21T20:25:18.6428887Z   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
2025-03-21T20:25:18.6430681Z   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
2025-03-21T20:25:18.6431884Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2025-03-21T20:25:18.6433113Z   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
2025-03-21T20:25:18.6434890Z   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
2025-03-21T20:25:18.6436686Z   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
2025-03-21T20:25:18.6438604Z   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
2025-03-21T20:25:18.6440212Z   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
2025-03-21T20:25:18.6442005Z   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
2025-03-21T20:25:18.6444042Z   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
2025-03-21T20:25:18.6445875Z   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
2025-03-21T20:25:18.6447549Z   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
2025-03-21T20:25:18.6449282Z   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
2025-03-21T20:25:18.6451008Z   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
2025-03-21T20:25:18.6452782Z   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
2025-03-21T20:25:18.6454700Z   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
2025-03-21T20:25:18.6456366Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2025-03-21T20:25:18.6457609Z   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
2025-03-21T20:25:18.6459193Z   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
2025-03-21T20:25:18.6460952Z   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
2025-03-21T20:25:18.6462601Z   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
2025-03-21T20:25:18.6464288Z   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
2025-03-21T20:25:18.6465918Z   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
2025-03-21T20:25:18.6467556Z   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
2025-03-21T20:25:18.6469150Z   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
2025-03-21T20:25:18.6470846Z   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
2025-03-21T20:25:18.6472655Z   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
2025-03-21T20:25:18.6474316Z   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
2025-03-21T20:25:18.6475965Z   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
2025-03-21T20:25:18.6477661Z   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
2025-03-21T20:25:18.6479340Z   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
2025-03-21T20:25:18.6481113Z   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
2025-03-21T20:25:18.6482941Z   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
2025-03-21T20:25:18.6484734Z   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
2025-03-21T20:25:18.6486409Z   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
2025-03-21T20:25:18.6488146Z   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
2025-03-21T20:25:18.6490033Z   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
2025-03-21T20:25:18.6491699Z   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
2025-03-21T20:25:18.6493461Z   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
2025-03-21T20:25:18.6495182Z   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
2025-03-21T20:25:18.6496833Z   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
2025-03-21T20:25:18.6498545Z   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
2025-03-21T20:25:18.6500263Z   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
2025-03-21T20:25:18.6501936Z   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
2025-03-21T20:25:18.6503553Z   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
2025-03-21T20:25:18.6505189Z   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
2025-03-21T20:25:18.6506921Z   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
2025-03-21T20:25:18.6508533Z   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
2025-03-21T20:25:18.6510161Z   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
2025-03-21T20:25:18.6511705Z   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
2025-03-21T20:25:18.6513330Z   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
2025-03-21T20:25:18.6514918Z   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
2025-03-21T20:25:18.6516678Z   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
2025-03-21T20:25:18.6518391Z   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
2025-03-21T20:25:18.6520052Z   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
2025-03-21T20:25:18.6521811Z   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
2025-03-21T20:25:18.6523806Z   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
2025-03-21T20:25:18.6525268Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
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2025-03-21T20:25:18.6528450Z   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
2025-03-21T20:25:18.6530367Z   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
2025-03-21T20:25:18.6532192Z   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
2025-03-21T20:25:18.6533980Z   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
2025-03-21T20:25:18.6535932Z   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
2025-03-21T20:25:18.6537778Z   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
2025-03-21T20:25:18.6539078Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/quantizer
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2025-03-21T20:25:18.6542315Z   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
2025-03-21T20:25:18.6544197Z   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
2025-03-21T20:25:18.6545595Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization
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2025-03-21T20:25:18.6548930Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/serialization
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2025-03-21T20:25:18.6727196Z   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
2025-03-21T20:25:18.6727948Z   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
2025-03-21T20:25:18.6728879Z   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
2025-03-21T20:25:18.6729576Z   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
2025-03-21T20:25:18.6730363Z   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
2025-03-21T20:25:18.6731121Z   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
2025-03-21T20:25:18.6731876Z   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
2025-03-21T20:25:18.6732583Z   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
2025-03-21T20:25:18.6733332Z   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
2025-03-21T20:25:18.6734065Z   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
2025-03-21T20:25:18.6734943Z   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
2025-03-21T20:25:18.6735676Z   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
2025-03-21T20:25:18.6736660Z   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
2025-03-21T20:25:18.6736949Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition
2025-03-21T20:25:18.6737714Z   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
2025-03-21T20:25:18.6738468Z   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
2025-03-21T20:25:18.6738822Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization
2025-03-21T20:25:18.6739734Z   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
2025-03-21T20:25:18.6740670Z   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
2025-03-21T20:25:18.6741434Z   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
2025-03-21T20:25:18.6741752Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2025-03-21T20:25:18.6742559Z   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
2025-03-21T20:25:18.6743230Z   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
2025-03-21T20:25:18.6744044Z   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
2025-03-21T20:25:18.6744746Z   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
2025-03-21T20:25:18.6745449Z   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
2025-03-21T20:25:18.6746114Z   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
2025-03-21T20:25:18.6746919Z   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
2025-03-21T20:25:18.6747194Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils
2025-03-21T20:25:18.6747876Z   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
2025-03-21T20:25:18.6748580Z   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
2025-03-21T20:25:18.6748829Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml
2025-03-21T20:25:18.6749102Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler
2025-03-21T20:25:18.6749888Z   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
2025-03-21T20:25:18.6750808Z   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
2025-03-21T20:25:18.6751158Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition
2025-03-21T20:25:18.6752184Z   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
2025-03-21T20:25:18.6753005Z   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
2025-03-21T20:25:18.6753390Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer
2025-03-21T20:25:18.6754155Z   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
2025-03-21T20:25:18.6754904Z   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
2025-03-21T20:25:18.6755218Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test
2025-03-21T20:25:18.6756022Z   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
2025-03-21T20:25:18.6756784Z   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
2025-03-21T20:25:18.6757128Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime
2025-03-21T20:25:18.6757465Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs
2025-03-21T20:25:18.6758442Z   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
2025-03-21T20:25:18.6804281Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/test
2025-03-21T20:25:18.6805546Z   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
2025-03-21T20:25:18.6806288Z   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
2025-03-21T20:25:18.6806537Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence
2025-03-21T20:25:18.6806801Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2025-03-21T20:25:18.6807504Z   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
2025-03-21T20:25:18.6808165Z   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
2025-03-21T20:25:18.6808985Z   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
2025-03-21T20:25:18.6809608Z   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
2025-03-21T20:25:18.6810342Z   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
2025-03-21T20:25:18.6811172Z   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
2025-03-21T20:25:18.6811883Z   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
2025-03-21T20:25:18.6812734Z   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
2025-03-21T20:25:18.6813386Z   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
2025-03-21T20:25:18.6814098Z   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
2025-03-21T20:25:18.6814821Z   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
2025-03-21T20:25:18.6815519Z   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
2025-03-21T20:25:18.6816338Z   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
2025-03-21T20:25:18.6816952Z   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
2025-03-21T20:25:18.6817678Z   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
2025-03-21T20:25:18.6818407Z   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
2025-03-21T20:25:18.6819050Z   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
2025-03-21T20:25:18.6819385Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer
2025-03-21T20:25:18.6820208Z   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
2025-03-21T20:25:18.6820998Z   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
2025-03-21T20:25:18.6821815Z   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
2025-03-21T20:25:18.6822590Z   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
2025-03-21T20:25:18.6822946Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/tests
2025-03-21T20:25:18.6823657Z   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
2025-03-21T20:25:18.6824590Z   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
2025-03-21T20:25:18.6825355Z   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
2025-03-21T20:25:18.6826107Z   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
2025-03-21T20:25:18.6827088Z   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
2025-03-21T20:25:18.6827943Z   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
2025-03-21T20:25:18.6828665Z   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
2025-03-21T20:25:18.6829590Z   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
2025-03-21T20:25:18.6830227Z   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
2025-03-21T20:25:18.6831093Z   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
2025-03-21T20:25:18.6831743Z   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
2025-03-21T20:25:18.6831995Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/runtime
2025-03-21T20:25:18.6832772Z   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
2025-03-21T20:25:18.6833448Z   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
2025-03-21T20:25:18.6834265Z   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
2025-03-21T20:25:18.6834886Z   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
2025-03-21T20:25:18.6835256Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils
2025-03-21T20:25:18.6835977Z   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
2025-03-21T20:25:18.6836721Z   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
2025-03-21T20:25:18.6837483Z   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
2025-03-21T20:25:18.6837765Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO
2025-03-21T20:25:18.6838585Z   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
2025-03-21T20:25:18.6838909Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/calibrator
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2025-03-21T20:25:18.6877507Z   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
2025-03-21T20:25:18.6878156Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/examples
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2025-03-21T20:25:18.6880120Z   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
2025-03-21T20:25:18.6881096Z   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
2025-03-21T20:25:18.6881409Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto
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2025-03-21T20:25:18.6882771Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen
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2025-03-21T20:25:18.6884258Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple
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2025-03-21T20:25:18.6886404Z   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
2025-03-21T20:25:18.6887399Z   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
2025-03-21T20:25:18.6887906Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument
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2025-03-21T20:25:18.6889905Z   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
2025-03-21T20:25:18.6890894Z   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
2025-03-21T20:25:18.6891843Z   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
2025-03-21T20:25:18.6892354Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute
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2025-03-21T20:25:18.6894590Z   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
2025-03-21T20:25:18.6895813Z   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
2025-03-21T20:25:18.6896917Z   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
2025-03-21T20:25:18.6897303Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs
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2025-03-21T20:25:18.6899293Z   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
2025-03-21T20:25:18.6899711Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils
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2025-03-21T20:25:18.6901688Z   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
2025-03-21T20:25:18.6902094Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable
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2025-03-21T20:25:18.6904199Z   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
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2025-03-21T20:25:18.6906269Z   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
2025-03-21T20:25:18.6907271Z   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
2025-03-21T20:25:18.6908323Z   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
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2025-03-21T20:25:18.6909753Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/specdb
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2025-03-21T20:25:18.6913547Z   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
2025-03-21T20:25:18.6913871Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/test
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2025-03-21T20:25:18.6963728Z   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
2025-03-21T20:25:18.6964693Z   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
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2025-03-21T20:25:18.6966762Z   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
2025-03-21T20:25:18.6967773Z   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
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2025-03-21T20:25:18.6972359Z   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
2025-03-21T20:25:18.6972964Z   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
2025-03-21T20:25:18.6973539Z   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
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2025-03-21T20:25:18.6974813Z   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
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2025-03-21T20:25:18.6975795Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools/test
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2025-03-21T20:25:18.6977251Z   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
2025-03-21T20:25:18.6977969Z   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
2025-03-21T20:25:18.6978764Z   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
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2025-03-21T20:25:18.6985973Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/model_exporter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning
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2025-03-21T20:25:18.7134642Z   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
2025-03-21T20:25:18.7135636Z   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
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2025-03-21T20:25:18.7137416Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/text_decoder/test
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2025-03-21T20:25:18.7186326Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder/test
2025-03-21T20:25:18.7186776Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder
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2025-03-21T20:25:18.7188763Z   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
2025-03-21T20:25:18.7189181Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder/test
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2025-03-21T20:25:18.7191089Z   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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2025-03-21T20:25:18.7192735Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/export_llava.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava
2025-03-21T20:25:18.7193426Z   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
2025-03-21T20:25:18.7194087Z   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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2025-03-21T20:25:18.7195843Z   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
2025-03-21T20:25:18.7196146Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/lstm
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2025-03-21T20:25:18.7197685Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/lstm
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2025-03-21T20:25:18.7199489Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilebert
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2025-03-21T20:25:18.7201318Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v2
2025-03-21T20:25:18.7201699Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3
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2025-03-21T20:25:18.7203251Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v3
2025-03-21T20:25:18.7203535Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini-lora
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2025-03-21T20:25:18.7206171Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/eager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini
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2025-03-21T20:25:18.7275611Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/moshi
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2025-03-21T20:25:18.7280806Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-03-21T20:25:18.7281490Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
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2025-03-21T20:25:18.7285498Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
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2025-03-21T20:25:18.7286749Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-03-21T20:25:18.7287304Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-03-21T20:25:18.7287795Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
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2025-03-21T20:25:18.7288949Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
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2025-03-21T20:25:18.7290599Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-03-21T20:25:18.7291093Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
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2025-03-21T20:25:18.7293457Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
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2025-03-21T20:25:18.7294789Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_named_data_store.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:18.7295667Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:18.7296383Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
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2025-03-21T20:25:18.7297670Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:18.7297965Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
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2025-03-21T20:25:18.7299467Z   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
2025-03-21T20:25:18.7300296Z   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
2025-03-21T20:25:18.7300957Z   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
2025-03-21T20:25:18.7301655Z   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
2025-03-21T20:25:18.7302191Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize
2025-03-21T20:25:18.7302881Z   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
2025-03-21T20:25:18.7303100Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2025-03-21T20:25:18.7303645Z   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
2025-03-21T20:25:18.7304307Z   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
2025-03-21T20:25:18.7304992Z   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
2025-03-21T20:25:18.7305607Z   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
2025-03-21T20:25:18.7306386Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:18.7306899Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend
2025-03-21T20:25:18.7307274Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2025-03-21T20:25:18.7308268Z   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
2025-03-21T20:25:18.7309346Z   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
2025-03-21T20:25:18.7358292Z   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
2025-03-21T20:25:18.7359866Z   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
2025-03-21T20:25:18.7360290Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2025-03-21T20:25:18.7361079Z   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
2025-03-21T20:25:18.7361964Z   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
2025-03-21T20:25:18.7362968Z   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
2025-03-21T20:25:18.7363910Z   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
2025-03-21T20:25:18.7364710Z   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
2025-03-21T20:25:18.7365588Z   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
2025-03-21T20:25:18.7366459Z   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
2025-03-21T20:25:18.7367284Z   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
2025-03-21T20:25:18.7368010Z   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
2025-03-21T20:25:18.7368869Z   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
2025-03-21T20:25:18.7369558Z   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
2025-03-21T20:25:18.7370334Z   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
2025-03-21T20:25:18.7371017Z   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
2025-03-21T20:25:18.7371894Z   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
2025-03-21T20:25:18.7372619Z   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
2025-03-21T20:25:18.7373436Z   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
2025-03-21T20:25:18.7374128Z   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
2025-03-21T20:25:18.7374983Z   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
2025-03-21T20:25:18.7375356Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos
2025-03-21T20:25:18.7376440Z   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
2025-03-21T20:25:18.7377281Z   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
2025-03-21T20:25:18.7377565Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2025-03-21T20:25:18.7378446Z   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
2025-03-21T20:25:18.7379271Z   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
2025-03-21T20:25:18.7379971Z   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
2025-03-21T20:25:18.7380279Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2025-03-21T20:25:18.7380891Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:18.7381474Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:18.7382141Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:18.7382650Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture
2025-03-21T20:25:18.7382903Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects
2025-03-21T20:25:18.7383609Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-03-21T20:25:18.7384123Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects
2025-03-21T20:25:18.7384376Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend
2025-03-21T20:25:18.7385128Z   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
2025-03-21T20:25:18.7385391Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test
2025-03-21T20:25:18.7386103Z   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
2025-03-21T20:25:18.7386477Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge
2025-03-21T20:25:18.7387052Z   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
2025-03-21T20:25:18.7387300Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg
2025-03-21T20:25:18.7388060Z   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
2025-03-21T20:25:18.7388668Z   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
2025-03-21T20:25:18.7388921Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2025-03-21T20:25:18.7389721Z   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
2025-03-21T20:25:18.7390518Z   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
2025-03-21T20:25:18.7391317Z   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
2025-03-21T20:25:18.7391565Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op
2025-03-21T20:25:18.7392160Z   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
2025-03-21T20:25:18.7392941Z   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
2025-03-21T20:25:18.7393217Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test
2025-03-21T20:25:18.7393870Z   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
2025-03-21T20:25:18.7394141Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec
2025-03-21T20:25:18.7443001Z   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
2025-03-21T20:25:18.7443763Z   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
2025-03-21T20:25:18.7444114Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test
2025-03-21T20:25:18.7444849Z   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
2025-03-21T20:25:18.7445670Z   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
2025-03-21T20:25:18.7446316Z   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
2025-03-21T20:25:18.7446566Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test
2025-03-21T20:25:18.7447428Z   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
2025-03-21T20:25:18.7447647Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2025-03-21T20:25:18.7448152Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:25:18.7448862Z   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
2025-03-21T20:25:18.7449353Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit
2025-03-21T20:25:18.7449581Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test
2025-03-21T20:25:18.7450314Z   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
2025-03-21T20:25:18.7450576Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2025-03-21T20:25:18.7451110Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:25:18.7451845Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:25:18.7452374Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator
2025-03-21T20:25:18.7453015Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test
2025-03-21T20:25:18.7453676Z   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
2025-03-21T20:25:18.7453887Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2025-03-21T20:25:18.7454397Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes
2025-03-21T20:25:18.7455029Z   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
2025-03-21T20:25:18.7455686Z   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
2025-03-21T20:25:18.7456286Z   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
2025-03-21T20:25:18.7456967Z   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
2025-03-21T20:25:18.7457625Z   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
2025-03-21T20:25:18.7458251Z   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
2025-03-21T20:25:18.7458992Z   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
2025-03-21T20:25:18.7459588Z   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
2025-03-21T20:25:18.7460271Z   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
2025-03-21T20:25:18.7460934Z   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
2025-03-21T20:25:18.7461570Z   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
2025-03-21T20:25:18.7462239Z   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
2025-03-21T20:25:18.7462865Z   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
2025-03-21T20:25:18.7463621Z   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
2025-03-21T20:25:18.7464156Z   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
2025-03-21T20:25:18.7464852Z   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
2025-03-21T20:25:18.7465456Z   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
2025-03-21T20:25:18.7466039Z   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
2025-03-21T20:25:18.7466767Z   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
2025-03-21T20:25:18.7467527Z   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
2025-03-21T20:25:18.7468224Z   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
2025-03-21T20:25:18.7468847Z   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
2025-03-21T20:25:18.7469642Z   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
2025-03-21T20:25:18.7470242Z   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
2025-03-21T20:25:18.7470992Z   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
2025-03-21T20:25:18.7471607Z   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
2025-03-21T20:25:18.7472275Z   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
2025-03-21T20:25:18.7472878Z   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
2025-03-21T20:25:18.7473476Z   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
2025-03-21T20:25:18.7474157Z   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
2025-03-21T20:25:18.7474752Z   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
2025-03-21T20:25:18.7474989Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
2025-03-21T20:25:18.7475635Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-03-21T20:25:18.7476179Z   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
2025-03-21T20:25:18.7532772Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program
2025-03-21T20:25:18.7533146Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test
2025-03-21T20:25:18.7533776Z   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
2025-03-21T20:25:18.7534584Z   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
2025-03-21T20:25:18.7535220Z   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
2025-03-21T20:25:18.7535434Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
2025-03-21T20:25:18.7536110Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:18.7536768Z   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
2025-03-21T20:25:18.7537640Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:18.7538302Z   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
2025-03-21T20:25:18.7539011Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:18.7539593Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:18.7540256Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/upgrade.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde
2025-03-21T20:25:18.7540501Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2025-03-21T20:25:18.7541038Z   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
2025-03-21T20:25:18.7541729Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:18.7542332Z   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
2025-03-21T20:25:18.7543112Z   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
2025-03-21T20:25:18.7543614Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:18.7544272Z   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
2025-03-21T20:25:18.7544966Z   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
2025-03-21T20:25:18.7545584Z   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
2025-03-21T20:25:18.7546246Z   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
2025-03-21T20:25:18.7546869Z   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
2025-03-21T20:25:18.7547710Z   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
2025-03-21T20:25:18.7548329Z   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
2025-03-21T20:25:18.7549149Z   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
2025-03-21T20:25:18.7549822Z   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
2025-03-21T20:25:18.7550567Z   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
2025-03-21T20:25:18.7551244Z   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
2025-03-21T20:25:18.7551929Z   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
2025-03-21T20:25:18.7552518Z   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
2025-03-21T20:25:18.7553341Z   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
2025-03-21T20:25:18.7553888Z   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
2025-03-21T20:25:18.7554557Z   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
2025-03-21T20:25:18.7555217Z   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
2025-03-21T20:25:18.7555866Z   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
2025-03-21T20:25:18.7556515Z   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
2025-03-21T20:25:18.7557146Z   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
2025-03-21T20:25:18.7557828Z   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
2025-03-21T20:25:18.7558433Z   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
2025-03-21T20:25:18.7559082Z   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
2025-03-21T20:25:18.7559627Z   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
2025-03-21T20:25:18.7560324Z   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
2025-03-21T20:25:18.7560886Z   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
2025-03-21T20:25:18.7561532Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests
2025-03-21T20:25:18.7561836Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2025-03-21T20:25:18.7562565Z   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
2025-03-21T20:25:18.7563208Z   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
2025-03-21T20:25:18.7563933Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:25:18.7564562Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification
2025-03-21T20:25:18.7564936Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test
2025-03-21T20:25:18.7565724Z   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
2025-03-21T20:25:18.7566211Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir
2025-03-21T20:25:18.7566513Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension
2025-03-21T20:25:18.7566823Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/android_test
2025-03-21T20:25:18.7567652Z   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
2025-03-21T20:25:18.7567898Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/export_util
2025-03-21T20:25:18.7722069Z   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
2025-03-21T20:25:18.7722780Z   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
2025-03-21T20:25:18.7723069Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor
2025-03-21T20:25:18.7723834Z   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
2025-03-21T20:25:18.7724129Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/serialize
2025-03-21T20:25:18.7725138Z   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
2025-03-21T20:25:18.7725928Z   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
2025-03-21T20:25:18.7726620Z   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
2025-03-21T20:25:18.7727327Z   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
2025-03-21T20:25:18.7728021Z   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
2025-03-21T20:25:18.7728293Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/test
2025-03-21T20:25:18.7728968Z   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
2025-03-21T20:25:18.7729203Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util
2025-03-21T20:25:18.7729805Z   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
2025-03-21T20:25:18.7730382Z   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
2025-03-21T20:25:18.7730969Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/load_gguf.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util
2025-03-21T20:25:18.7731254Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util/converters
2025-03-21T20:25:18.7731969Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/gguf_util/converters
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2025-03-21T20:25:18.8074362Z   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
2025-03-21T20:25:18.8074625Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/util
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2025-03-21T20:25:18.8075738Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/collect_env.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util
2025-03-21T20:25:18.8076341Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/python_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util
2025-03-21T20:25:18.8076629Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/schema
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2025-03-21T20:25:18.8077617Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/schema
2025-03-21T20:25:18.8078211Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch
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2025-03-21T20:25:18.8089701Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/memory_allocator.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core
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2025-03-21T20:25:18.8094708Z   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
2025-03-21T20:25:18.8095175Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten
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2025-03-21T20:25:18.8134388Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type
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2025-03-21T20:25:18.8163431Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel
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2025-03-21T20:25:18.8167775Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel/test
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2025-03-21T20:25:18.8507652Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform
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2025-03-21T20:25:18.8514872Z   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
2025-03-21T20:25:18.8515631Z   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
2025-03-21T20:25:18.8516369Z   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
2025-03-21T20:25:18.8517112Z   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
2025-03-21T20:25:18.8517455Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform/test
2025-03-21T20:25:18.8518304Z   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
2025-03-21T20:25:18.8518580Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension
2025-03-21T20:25:18.8518920Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/kernel_util
2025-03-21T20:25:18.8519781Z   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
2025-03-21T20:25:18.8520597Z   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
2025-03-21T20:25:18.8521689Z   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
2025-03-21T20:25:18.8522289Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/tensor
2025-03-21T20:25:18.8523685Z   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
2025-03-21T20:25:18.8524878Z   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
2025-03-21T20:25:18.8525694Z   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
2025-03-21T20:25:18.8526484Z   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
2025-03-21T20:25:18.8527048Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/threadpool
2025-03-21T20:25:18.8528580Z   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
2025-03-21T20:25:18.8529634Z   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
2025-03-21T20:25:18.8531225Z   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
2025-03-21T20:25:18.8531454Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data
2025-03-21T20:25:18.8531727Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin
2025-03-21T20:25:18.8532220Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-03-21T20:25:18.8532747Z   copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin
2025-03-21T20:25:18.8532872Z   running install_egg_info
2025-03-21T20:25:18.8533254Z   Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/./executorch-0.6.0a0+be92d7d-py3.10.egg-info
2025-03-21T20:25:18.8533365Z   running install_scripts
2025-03-21T20:25:18.8533668Z   creating pip-out/bdist.linux-x86_64/wheel/executorch-0.6.0a0+be92d7d.dist-info/WHEEL
2025-03-21T20:25:18.8534291Z   creating '/tmp/pip-wheel-a9vnol2w/.tmp-1wl2iud5/executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it
2025-03-21T20:25:18.8534491Z   adding 'executorch/version.py'
2025-03-21T20:25:18.8534854Z   adding 'executorch/backends/apple/coreml/executorchcoreml.pyi'
2025-03-21T20:25:18.8535212Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2025-03-21T20:25:18.8535674Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2025-03-21T20:25:18.8536047Z   adding 'executorch/backends/apple/coreml/partition/__init__.py'
2025-03-21T20:25:18.8536490Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2025-03-21T20:25:18.8536714Z   adding 'executorch/backends/apple/coreml/quantizer/__init__.py'
2025-03-21T20:25:18.8537021Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2025-03-21T20:25:18.8537256Z   adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py'
2025-03-21T20:25:18.8537601Z   adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py'
2025-03-21T20:25:18.8538013Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2025-03-21T20:25:18.8538497Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2025-03-21T20:25:18.8538759Z   adding 'executorch/backends/apple/mps/__init__.py'
2025-03-21T20:25:18.8539065Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2025-03-21T20:25:18.8539427Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2025-03-21T20:25:18.8539825Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2025-03-21T20:25:18.8540195Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2025-03-21T20:25:18.8540520Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2025-03-21T20:25:18.8540920Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2025-03-21T20:25:18.8541339Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2025-03-21T20:25:18.8541730Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2025-03-21T20:25:18.8542188Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2025-03-21T20:25:18.8542478Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2025-03-21T20:25:18.8542733Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2025-03-21T20:25:18.8542926Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2025-03-21T20:25:18.8543148Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2025-03-21T20:25:18.8543376Z   adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py'
2025-03-21T20:25:18.8543584Z   adding 'executorch/backends/apple/mps/operators/op_skip_ops.py'
2025-03-21T20:25:18.8543789Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2025-03-21T20:25:18.8543997Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2025-03-21T20:25:18.8544208Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2025-03-21T20:25:18.8544438Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2025-03-21T20:25:18.8544781Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2025-03-21T20:25:18.8545125Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2025-03-21T20:25:18.8545466Z   adding 'executorch/backends/apple/mps/partition/__init__.py'
2025-03-21T20:25:18.8545903Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2025-03-21T20:25:18.8546354Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2025-03-21T20:25:18.8870668Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2025-03-21T20:25:18.8871715Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2025-03-21T20:25:18.8872225Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2025-03-21T20:25:18.8872734Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2025-03-21T20:25:18.8873345Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2025-03-21T20:25:18.8873905Z   adding 'executorch/backends/apple/mps/test/test_mps_linear.py'
2025-03-21T20:25:18.8874416Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2025-03-21T20:25:18.8874947Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2025-03-21T20:25:18.8875474Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2025-03-21T20:25:18.8876003Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2025-03-21T20:25:18.8876536Z   adding 'executorch/backends/apple/mps/utils/quant_utils.py'
2025-03-21T20:25:18.8876982Z   adding 'executorch/backends/arm/arm_backend.py'
2025-03-21T20:25:18.8877376Z   adding 'executorch/backends/arm/arm_vela.py'
2025-03-21T20:25:18.8877777Z   adding 'executorch/backends/arm/ethosu_backend.py'
2025-03-21T20:25:18.8878215Z   adding 'executorch/backends/arm/ethosu_partitioner.py'
2025-03-21T20:25:18.8878636Z   adding 'executorch/backends/arm/process_node.py'
2025-03-21T20:25:18.8879090Z   adding 'executorch/backends/arm/tosa_backend.py'
2025-03-21T20:25:18.8879632Z   adding 'executorch/backends/arm/tosa_mapping.py'
2025-03-21T20:25:18.8880238Z   adding 'executorch/backends/arm/tosa_partitioner.py'
2025-03-21T20:25:18.8880684Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2025-03-21T20:25:18.8881125Z   adding 'executorch/backends/arm/tosa_specification.py'
2025-03-21T20:25:18.8881552Z   adding 'executorch/backends/arm/tosa_utils.py'
2025-03-21T20:25:18.8881976Z   adding 'executorch/backends/arm/_passes/_debug_passes.py'
2025-03-21T20:25:18.8882635Z   adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py'
2025-03-21T20:25:18.8883318Z   adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py'
2025-03-21T20:25:18.8883864Z   adding 'executorch/backends/arm/_passes/arm_pass_manager.py'
2025-03-21T20:25:18.8884350Z   adding 'executorch/backends/arm/_passes/arm_pass_utils.py'
2025-03-21T20:25:18.8884831Z   adding 'executorch/backends/arm/_passes/cast_int64_pass.py'
2025-03-21T20:25:18.8885341Z   adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:25:18.8885932Z   adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py'
2025-03-21T20:25:18.8886588Z   adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py'
2025-03-21T20:25:18.8887255Z   adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py'
2025-03-21T20:25:18.8887824Z   adding 'executorch/backends/arm/_passes/convert_minmax_pass.py'
2025-03-21T20:25:18.8888347Z   adding 'executorch/backends/arm/_passes/convert_split_to_slice.py'
2025-03-21T20:25:18.8888904Z   adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py'
2025-03-21T20:25:18.8889435Z   adding 'executorch/backends/arm/_passes/convert_to_clamp.py'
2025-03-21T20:25:18.8890052Z   adding 'executorch/backends/arm/_passes/decompose_batchnorm_pass.py'
2025-03-21T20:25:18.8890603Z   adding 'executorch/backends/arm/_passes/decompose_div_pass.py'
2025-03-21T20:25:18.8891147Z   adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py'
2025-03-21T20:25:18.8891690Z   adding 'executorch/backends/arm/_passes/decompose_linear_pass.py'
2025-03-21T20:25:18.8892241Z   adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py'
2025-03-21T20:25:18.8892815Z   adding 'executorch/backends/arm/_passes/decompose_select.py'
2025-03-21T20:25:18.8893463Z   adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py'
2025-03-21T20:25:18.8894045Z   adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py'
2025-03-21T20:25:18.8894604Z   adding 'executorch/backends/arm/_passes/decompose_var_pass.py'
2025-03-21T20:25:18.8895190Z   adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py'
2025-03-21T20:25:18.8895795Z   adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py'
2025-03-21T20:25:18.8896428Z   adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py'
2025-03-21T20:25:18.8897050Z   adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py'
2025-03-21T20:25:18.8897633Z   adding 'executorch/backends/arm/_passes/insert_rescales_pass.py'
2025-03-21T20:25:18.8898139Z   adding 'executorch/backends/arm/_passes/insert_table_ops.py'
2025-03-21T20:25:18.8898694Z   adding 'executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py'
2025-03-21T20:25:18.8899275Z   adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py'
2025-03-21T20:25:18.8899927Z   adding 'executorch/backends/arm/_passes/meandim_to_averagepool_pass.py'
2025-03-21T20:25:18.8900465Z   adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py'
2025-03-21T20:25:18.8900951Z   adding 'executorch/backends/arm/_passes/remove_clone_pass.py'
2025-03-21T20:25:18.8901469Z   adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py'
2025-03-21T20:25:18.8902032Z   adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py'
2025-03-21T20:25:18.8902609Z   adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py'
2025-03-21T20:25:18.8903401Z   adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py'
2025-03-21T20:25:18.8904032Z   adding 'executorch/backends/arm/operator_support/__init__.py'
2025-03-21T20:25:18.8904590Z   adding 'executorch/backends/arm/operator_support/convolution_support.py'
2025-03-21T20:25:18.8905176Z   adding 'executorch/backends/arm/operator_support/minmax_support.py'
2025-03-21T20:25:18.8905733Z   adding 'executorch/backends/arm/operator_support/pool_2d_support.py'
2025-03-21T20:25:18.8906348Z   adding 'executorch/backends/arm/operator_support/reduce_sum_support.py'
2025-03-21T20:25:18.8907119Z   adding 'executorch/backends/arm/operator_support/right_shift_support.py'
2025-03-21T20:25:18.8907707Z   adding 'executorch/backends/arm/operator_support/slice_copy_support.py'
2025-03-21T20:25:18.8908285Z   adding 'executorch/backends/arm/operator_support/to_copy_support.py'
2025-03-21T20:25:18.8908896Z   adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py'
2025-03-21T20:25:18.8909451Z   adding 'executorch/backends/arm/operators/__init__.py'
2025-03-21T20:25:18.8909916Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2025-03-21T20:25:18.8910421Z   adding 'executorch/backends/arm/operators/op_abs.py'
2025-03-21T20:25:18.8910851Z   adding 'executorch/backends/arm/operators/op_add.py'
2025-03-21T20:25:18.8911286Z   adding 'executorch/backends/arm/operators/op_amax.py'
2025-03-21T20:25:18.8911712Z   adding 'executorch/backends/arm/operators/op_amin.py'
2025-03-21T20:25:18.8912141Z   adding 'executorch/backends/arm/operators/op_any.py'
2025-03-21T20:25:18.8912593Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2025-03-21T20:25:18.8913043Z   adding 'executorch/backends/arm/operators/op_bmm.py'
2025-03-21T20:25:18.8913464Z   adding 'executorch/backends/arm/operators/op_cat.py'
2025-03-21T20:25:18.8913995Z   adding 'executorch/backends/arm/operators/op_clamp.py'
2025-03-21T20:25:18.8914516Z   adding 'executorch/backends/arm/operators/op_constant_pad_nd.py'
2025-03-21T20:25:18.8915017Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2025-03-21T20:25:18.8915456Z   adding 'executorch/backends/arm/operators/op_eq.py'
2025-03-21T20:25:18.8915879Z   adding 'executorch/backends/arm/operators/op_exp.py'
2025-03-21T20:25:18.8916304Z   adding 'executorch/backends/arm/operators/op_full.py'
2025-03-21T20:25:18.8916718Z   adding 'executorch/backends/arm/operators/op_ge.py'
2025-03-21T20:25:18.8917305Z   adding 'executorch/backends/arm/operators/op_get_item.py'
2025-03-21T20:25:18.8917749Z   adding 'executorch/backends/arm/operators/op_gt.py'
2025-03-21T20:25:18.8918163Z   adding 'executorch/backends/arm/operators/op_le.py'
2025-03-21T20:25:18.8918581Z   adding 'executorch/backends/arm/operators/op_log.py'
2025-03-21T20:25:18.8918996Z   adding 'executorch/backends/arm/operators/op_lt.py'
2025-03-21T20:25:18.8919439Z   adding 'executorch/backends/arm/operators/op_max_pool2d.py'
2025-03-21T20:25:18.8919911Z   adding 'executorch/backends/arm/operators/op_maximum.py'
2025-03-21T20:25:18.8920386Z   adding 'executorch/backends/arm/operators/op_minimum.py'
2025-03-21T20:25:18.8920955Z   adding 'executorch/backends/arm/operators/op_mul.py'
2025-03-21T20:25:18.8921394Z   adding 'executorch/backends/arm/operators/op_permute.py'
2025-03-21T20:25:18.8921853Z   adding 'executorch/backends/arm/operators/op_reciprocal.py'
2025-03-21T20:25:18.8922385Z   adding 'executorch/backends/arm/operators/op_repeat.py'
2025-03-21T20:25:18.8922843Z   adding 'executorch/backends/arm/operators/op_rescale.py'
2025-03-21T20:25:18.8923300Z   adding 'executorch/backends/arm/operators/op_rshift.py'
2025-03-21T20:25:18.8923742Z   adding 'executorch/backends/arm/operators/op_rsqrt.py'
2025-03-21T20:25:18.8924450Z   adding 'executorch/backends/arm/operators/op_sigmoid.py'
2025-03-21T20:25:18.8925039Z   adding 'executorch/backends/arm/operators/op_slice.py'
2025-03-21T20:25:18.8925476Z   adding 'executorch/backends/arm/operators/op_sub.py'
2025-03-21T20:25:18.8925907Z   adding 'executorch/backends/arm/operators/op_sum.py'
2025-03-21T20:25:18.8926476Z   adding 'executorch/backends/arm/operators/op_table.py'
2025-03-21T20:25:18.8926974Z   adding 'executorch/backends/arm/operators/op_tanh.py'
2025-03-21T20:25:18.8927425Z   adding 'executorch/backends/arm/operators/op_to_copy.py'
2025-03-21T20:25:18.8927977Z   adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py'
2025-03-21T20:25:18.8928573Z   adding 'executorch/backends/arm/operators/op_transpose.py'
2025-03-21T20:25:18.8929088Z   adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py'
2025-03-21T20:25:18.8929586Z   adding 'executorch/backends/arm/operators/op_view.py'
2025-03-21T20:25:18.8930020Z   adding 'executorch/backends/arm/operators/ops_binary.py'
2025-03-21T20:25:18.8930477Z   adding 'executorch/backends/arm/operators/ops_unary.py'
2025-03-21T20:25:18.8930913Z   adding 'executorch/backends/arm/quantizer/__init__.py'
2025-03-21T20:25:18.8931370Z   adding 'executorch/backends/arm/quantizer/arm_quantizer.py'
2025-03-21T20:25:18.8931891Z   adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py'
2025-03-21T20:25:18.8932443Z   adding 'executorch/backends/arm/quantizer/quantization_annotator.py'
2025-03-21T20:25:18.8933147Z   adding 'executorch/backends/arm/quantizer/quantization_config.py'
2025-03-21T20:25:18.8933660Z   adding 'executorch/backends/arm/test/common.py'
2025-03-21T20:25:18.8934053Z   adding 'executorch/backends/arm/test/conftest.py'
2025-03-21T20:25:18.8934473Z   adding 'executorch/backends/arm/test/runner_utils.py'
2025-03-21T20:25:18.8934896Z   adding 'executorch/backends/arm/test/test_model.py'
2025-03-21T20:25:18.8935371Z   adding 'executorch/backends/arm/test/misc/test_custom_partition.py'
2025-03-21T20:25:18.8935904Z   adding 'executorch/backends/arm/test/misc/test_debug_feats.py'
2025-03-21T20:25:18.8936428Z   adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py'
2025-03-21T20:25:18.8937083Z   adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py'
2025-03-21T20:25:18.8937679Z   adding 'executorch/backends/arm/test/misc/test_model_evaluator.py'
2025-03-21T20:25:18.8938325Z   adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py'
2025-03-21T20:25:18.9253234Z   adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py'
2025-03-21T20:25:18.9254501Z   adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py'
2025-03-21T20:25:18.9255253Z   adding 'executorch/backends/arm/test/misc/test_tosa_spec.py'
2025-03-21T20:25:18.9255758Z   adding 'executorch/backends/arm/test/models/test_conformer.py'
2025-03-21T20:25:18.9256291Z   adding 'executorch/backends/arm/test/models/test_dl3_arm.py'
2025-03-21T20:25:18.9256867Z   adding 'executorch/backends/arm/test/models/test_llama.py'
2025-03-21T20:25:18.9257452Z   adding 'executorch/backends/arm/test/models/test_lstm_arm.py'
2025-03-21T20:25:18.9257979Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py'
2025-03-21T20:25:18.9258545Z   adding 'executorch/backends/arm/test/models/test_nn_functional.py'
2025-03-21T20:25:18.9259188Z   adding 'executorch/backends/arm/test/models/test_nn_modules.py'
2025-03-21T20:25:18.9259742Z   adding 'executorch/backends/arm/test/models/test_torch_functions.py'
2025-03-21T20:25:18.9260326Z   adding 'executorch/backends/arm/test/models/test_w2l_arm.py'
2025-03-21T20:25:18.9260785Z   adding 'executorch/backends/arm/test/ops/test_abs.py'
2025-03-21T20:25:18.9261246Z   adding 'executorch/backends/arm/test/ops/test_add.py'
2025-03-21T20:25:18.9261762Z   adding 'executorch/backends/arm/test/ops/test_amax.py'
2025-03-21T20:25:18.9262209Z   adding 'executorch/backends/arm/test/ops/test_amin.py'
2025-03-21T20:25:18.9262707Z   adding 'executorch/backends/arm/test/ops/test_any.py'
2025-03-21T20:25:18.9263180Z   adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py'
2025-03-21T20:25:18.9263665Z   adding 'executorch/backends/arm/test/ops/test_batch_norm.py'
2025-03-21T20:25:18.9264153Z   adding 'executorch/backends/arm/test/ops/test_bitwise.py'
2025-03-21T20:25:18.9264833Z   adding 'executorch/backends/arm/test/ops/test_bmm.py'
2025-03-21T20:25:18.9265324Z   adding 'executorch/backends/arm/test/ops/test_cat.py'
2025-03-21T20:25:18.9265907Z   adding 'executorch/backends/arm/test/ops/test_clamp.py'
2025-03-21T20:25:18.9266360Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
2025-03-21T20:25:18.9266866Z   adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py'
2025-03-21T20:25:18.9267429Z   adding 'executorch/backends/arm/test/ops/test_conv1d.py'
2025-03-21T20:25:18.9267968Z   adding 'executorch/backends/arm/test/ops/test_conv2d.py'
2025-03-21T20:25:18.9268620Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2025-03-21T20:25:18.9269152Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
2025-03-21T20:25:18.9269637Z   adding 'executorch/backends/arm/test/ops/test_div.py'
2025-03-21T20:25:18.9270081Z   adding 'executorch/backends/arm/test/ops/test_eq.py'
2025-03-21T20:25:18.9270571Z   adding 'executorch/backends/arm/test/ops/test_exp.py'
2025-03-21T20:25:18.9271188Z   adding 'executorch/backends/arm/test/ops/test_expand.py'
2025-03-21T20:25:18.9271711Z   adding 'executorch/backends/arm/test/ops/test_floor.py'
2025-03-21T20:25:18.9272157Z   adding 'executorch/backends/arm/test/ops/test_full.py'
2025-03-21T20:25:18.9272606Z   adding 'executorch/backends/arm/test/ops/test_ge.py'
2025-03-21T20:25:18.9273041Z   adding 'executorch/backends/arm/test/ops/test_gt.py'
2025-03-21T20:25:18.9273571Z   adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py'
2025-03-21T20:25:18.9274217Z   adding 'executorch/backends/arm/test/ops/test_hardswish.py'
2025-03-21T20:25:18.9274752Z   adding 'executorch/backends/arm/test/ops/test_hardtanh.py'
2025-03-21T20:25:18.9275238Z   adding 'executorch/backends/arm/test/ops/test_layer_norm.py'
2025-03-21T20:25:18.9275703Z   adding 'executorch/backends/arm/test/ops/test_le.py'
2025-03-21T20:25:18.9276151Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2025-03-21T20:25:18.9276655Z   adding 'executorch/backends/arm/test/ops/test_log.py'
2025-03-21T20:25:18.9277260Z   adding 'executorch/backends/arm/test/ops/test_logical.py'
2025-03-21T20:25:18.9277799Z   adding 'executorch/backends/arm/test/ops/test_logsoftmax.py'
2025-03-21T20:25:18.9278264Z   adding 'executorch/backends/arm/test/ops/test_lt.py'
2025-03-21T20:25:18.9278720Z   adding 'executorch/backends/arm/test/ops/test_max_pool.py'
2025-03-21T20:25:18.9279197Z   adding 'executorch/backends/arm/test/ops/test_maximum.py'
2025-03-21T20:25:18.9279853Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2025-03-21T20:25:18.9280438Z   adding 'executorch/backends/arm/test/ops/test_minimum.py'
2025-03-21T20:25:18.9280898Z   adding 'executorch/backends/arm/test/ops/test_mm.py'
2025-03-21T20:25:18.9281337Z   adding 'executorch/backends/arm/test/ops/test_mul.py'
2025-03-21T20:25:18.9281848Z   adding 'executorch/backends/arm/test/ops/test_permute.py'
2025-03-21T20:25:18.9282508Z   adding 'executorch/backends/arm/test/ops/test_reciprocal.py'
2025-03-21T20:25:18.9282996Z   adding 'executorch/backends/arm/test/ops/test_relu.py'
2025-03-21T20:25:18.9283441Z   adding 'executorch/backends/arm/test/ops/test_repeat.py'
2025-03-21T20:25:18.9283912Z   adding 'executorch/backends/arm/test/ops/test_rshift.py'
2025-03-21T20:25:18.9284373Z   adding 'executorch/backends/arm/test/ops/test_rsqrt.py'
2025-03-21T20:25:18.9284836Z   adding 'executorch/backends/arm/test/ops/test_scalars.py'
2025-03-21T20:25:18.9285308Z   adding 'executorch/backends/arm/test/ops/test_select.py'
2025-03-21T20:25:18.9285793Z   adding 'executorch/backends/arm/test/ops/test_sigmoid.py'
2025-03-21T20:25:18.9286476Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py'
2025-03-21T20:25:18.9287063Z   adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py'
2025-03-21T20:25:18.9287560Z   adding 'executorch/backends/arm/test/ops/test_slice.py'
2025-03-21T20:25:18.9288034Z   adding 'executorch/backends/arm/test/ops/test_softmax.py'
2025-03-21T20:25:18.9288623Z   adding 'executorch/backends/arm/test/ops/test_split.py'
2025-03-21T20:25:18.9289081Z   adding 'executorch/backends/arm/test/ops/test_squeeze.py'
2025-03-21T20:25:18.9289601Z   adding 'executorch/backends/arm/test/ops/test_sub.py'
2025-03-21T20:25:18.9290108Z   adding 'executorch/backends/arm/test/ops/test_sum.py'
2025-03-21T20:25:18.9290646Z   adding 'executorch/backends/arm/test/ops/test_tanh.py'
2025-03-21T20:25:18.9291106Z   adding 'executorch/backends/arm/test/ops/test_to_copy.py'
2025-03-21T20:25:18.9291575Z   adding 'executorch/backends/arm/test/ops/test_unsqueeze.py'
2025-03-21T20:25:18.9292108Z   adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py'
2025-03-21T20:25:18.9292614Z   adding 'executorch/backends/arm/test/ops/test_var.py'
2025-03-21T20:25:18.9293054Z   adding 'executorch/backends/arm/test/ops/test_view.py'
2025-03-21T20:25:18.9293563Z   adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py'
2025-03-21T20:25:18.9294300Z   adding 'executorch/backends/arm/test/passes/test_convert_to_clamp.py'
2025-03-21T20:25:18.9294873Z   adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py'
2025-03-21T20:25:18.9295458Z   adding 'executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py'
2025-03-21T20:25:18.9296082Z   adding 'executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py'
2025-03-21T20:25:18.9296713Z   adding 'executorch/backends/arm/test/passes/test_insert_table_ops_pass.py'
2025-03-21T20:25:18.9297334Z   adding 'executorch/backends/arm/test/passes/test_ioquantization_pass.py'
2025-03-21T20:25:18.9297968Z   adding 'executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py'
2025-03-21T20:25:18.9298714Z   adding 'executorch/backends/arm/test/passes/test_rescale_pass.py'
2025-03-21T20:25:18.9299329Z   adding 'executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py'
2025-03-21T20:25:18.9299993Z   adding 'executorch/backends/arm/test/quantizer/test_generic_annotater.py'
2025-03-21T20:25:18.9300542Z   adding 'executorch/backends/arm/test/tester/__init__.py'
2025-03-21T20:25:18.9301068Z   adding 'executorch/backends/arm/test/tester/analyze_output_utils.py'
2025-03-21T20:25:18.9301842Z   adding 'executorch/backends/arm/test/tester/arm_tester.py'
2025-03-21T20:25:18.9302345Z   adding 'executorch/backends/arm/test/tester/test_pipeline.py'
2025-03-21T20:25:18.9302847Z   adding 'executorch/backends/arm/test/tosautil/__init__.py'
2025-03-21T20:25:18.9303390Z   adding 'executorch/backends/arm/third-party/serialization_lib/setup.py'
2025-03-21T20:25:18.9304085Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py'
2025-03-21T20:25:18.9304907Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py'
2025-03-21T20:25:18.9305805Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py'
2025-03-21T20:25:18.9306785Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py'
2025-03-21T20:25:18.9307550Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py'
2025-03-21T20:25:18.9308341Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py'
2025-03-21T20:25:18.9309139Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py'
2025-03-21T20:25:18.9309926Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py'
2025-03-21T20:25:18.9310700Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py'
2025-03-21T20:25:18.9311448Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py'
2025-03-21T20:25:18.9312276Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py'
2025-03-21T20:25:18.9313146Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py'
2025-03-21T20:25:18.9314111Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py'
2025-03-21T20:25:18.9314950Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py'
2025-03-21T20:25:18.9315893Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py'
2025-03-21T20:25:18.9316640Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
2025-03-21T20:25:18.9317364Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py'
2025-03-21T20:25:18.9318141Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py'
2025-03-21T20:25:18.9318918Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py'
2025-03-21T20:25:18.9319855Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2025-03-21T20:25:18.9320668Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2025-03-21T20:25:18.9321463Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
2025-03-21T20:25:18.9322312Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py'
2025-03-21T20:25:18.9323258Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
2025-03-21T20:25:18.9669534Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py'
2025-03-21T20:25:18.9670702Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py'
2025-03-21T20:25:18.9671497Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py'
2025-03-21T20:25:18.9672551Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py'
2025-03-21T20:25:18.9673374Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py'
2025-03-21T20:25:18.9674151Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py'
2025-03-21T20:25:18.9674924Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py'
2025-03-21T20:25:18.9675904Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py'
2025-03-21T20:25:18.9676818Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py'
2025-03-21T20:25:18.9677835Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py'
2025-03-21T20:25:18.9678667Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py'
2025-03-21T20:25:18.9679520Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
2025-03-21T20:25:18.9680371Z   adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs'
2025-03-21T20:25:18.9681128Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py'
2025-03-21T20:25:18.9681912Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py'
2025-03-21T20:25:18.9682615Z   adding 'executorch/backends/arm/util/arm_model_evaluator.py'
2025-03-21T20:25:18.9683236Z   adding 'executorch/backends/cadence/aot/__init__.py'
2025-03-21T20:25:18.9683721Z   adding 'executorch/backends/cadence/aot/compiler.py'
2025-03-21T20:25:18.9684244Z   adding 'executorch/backends/cadence/aot/compiler_utils.py'
2025-03-21T20:25:18.9684724Z   adding 'executorch/backends/cadence/aot/export_example.py'
2025-03-21T20:25:18.9685291Z   adding 'executorch/backends/cadence/aot/functions.yaml'
2025-03-21T20:25:18.9685922Z   adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml'
2025-03-21T20:25:18.9686506Z   adding 'executorch/backends/cadence/aot/functions_hifi.yaml'
2025-03-21T20:25:18.9686963Z   adding 'executorch/backends/cadence/aot/fuse_ops.py'
2025-03-21T20:25:18.9687589Z   adding 'executorch/backends/cadence/aot/graph_builder.py'
2025-03-21T20:25:18.9688161Z   adding 'executorch/backends/cadence/aot/memory_constraints.py'
2025-03-21T20:25:18.9688907Z   adding 'executorch/backends/cadence/aot/memory_planning.py'
2025-03-21T20:25:18.9689450Z   adding 'executorch/backends/cadence/aot/ops_registrations.py'
2025-03-21T20:25:18.9689925Z   adding 'executorch/backends/cadence/aot/pass_utils.py'
2025-03-21T20:25:18.9690357Z   adding 'executorch/backends/cadence/aot/passes.py'
2025-03-21T20:25:18.9690955Z   adding 'executorch/backends/cadence/aot/ref_implementations.py'
2025-03-21T20:25:18.9691551Z   adding 'executorch/backends/cadence/aot/remove_ops.py'
2025-03-21T20:25:18.9692041Z   adding 'executorch/backends/cadence/aot/reorder_ops.py'
2025-03-21T20:25:18.9692498Z   adding 'executorch/backends/cadence/aot/replace_ops.py'
2025-03-21T20:25:18.9692948Z   adding 'executorch/backends/cadence/aot/simplify_ops.py'
2025-03-21T20:25:18.9693388Z   adding 'executorch/backends/cadence/aot/utils.py'
2025-03-21T20:25:18.9694055Z   adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py'
2025-03-21T20:25:18.9694655Z   adding 'executorch/backends/cadence/aot/quantizer/patterns.py'
2025-03-21T20:25:18.9695184Z   adding 'executorch/backends/cadence/aot/quantizer/quantizer.py'
2025-03-21T20:25:18.9695679Z   adding 'executorch/backends/cadence/aot/quantizer/utils.py'
2025-03-21T20:25:18.9696341Z   adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py'
2025-03-21T20:25:18.9697081Z   adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py'
2025-03-21T20:25:18.9697653Z   adding 'executorch/backends/cadence/aot/tests/test_memory_passes.py'
2025-03-21T20:25:18.9698212Z   adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py'
2025-03-21T20:25:18.9698790Z   adding 'executorch/backends/cadence/aot/tests/test_remove_ops_passes.py'
2025-03-21T20:25:18.9699567Z   adding 'executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py'
2025-03-21T20:25:18.9700264Z   adding 'executorch/backends/cadence/aot/tests/test_replace_ops_passes.py'
2025-03-21T20:25:18.9700885Z   adding 'executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py'
2025-03-21T20:25:18.9701492Z   adding 'executorch/backends/cadence/runtime/__init__.py'
2025-03-21T20:25:18.9702104Z   adding 'executorch/backends/cadence/runtime/executor.py'
2025-03-21T20:25:18.9702605Z   adding 'executorch/backends/cadence/runtime/runtime.py'
2025-03-21T20:25:18.9703059Z   adding 'executorch/backends/cadence/runtime/utils.py'
2025-03-21T20:25:18.9703512Z   adding 'executorch/backends/cadence/utils/facto_util.py'
2025-03-21T20:25:18.9703977Z   adding 'executorch/backends/cadence/utils/gen_header.py'
2025-03-21T20:25:18.9704662Z   adding 'executorch/backends/cadence/utils/post_compilation.py'
2025-03-21T20:25:18.9705220Z   adding 'executorch/backends/cadence/utils/FACTO/setup.py'
2025-03-21T20:25:18.9705744Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py'
2025-03-21T20:25:18.9706343Z   adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py'
2025-03-21T20:25:18.9706920Z   adding 'executorch/backends/cadence/utils/FACTO/examples/example.py'
2025-03-21T20:25:18.9707599Z   adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py'
2025-03-21T20:25:18.9708385Z   adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py'
2025-03-21T20:25:18.9708991Z   adding 'executorch/backends/cadence/utils/FACTO/facto/__init__.py'
2025-03-21T20:25:18.9709573Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py'
2025-03-21T20:25:18.9710250Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py'
2025-03-21T20:25:18.9711025Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py'
2025-03-21T20:25:18.9711927Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py'
2025-03-21T20:25:18.9712626Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py'
2025-03-21T20:25:18.9713521Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py'
2025-03-21T20:25:18.9714444Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py'
2025-03-21T20:25:18.9715137Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py'
2025-03-21T20:25:18.9715848Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py'
2025-03-21T20:25:18.9716630Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py'
2025-03-21T20:25:18.9717529Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py'
2025-03-21T20:25:18.9718238Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py'
2025-03-21T20:25:18.9718940Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py'
2025-03-21T20:25:18.9719814Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py'
2025-03-21T20:25:18.9720561Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py'
2025-03-21T20:25:18.9721290Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py'
2025-03-21T20:25:18.9722028Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py'
2025-03-21T20:25:18.9722823Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py'
2025-03-21T20:25:18.9723734Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py'
2025-03-21T20:25:18.9724638Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py'
2025-03-21T20:25:18.9725349Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py'
2025-03-21T20:25:18.9726048Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py'
2025-03-21T20:25:18.9726812Z   adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py'
2025-03-21T20:25:18.9727620Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py'
2025-03-21T20:25:18.9728266Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py'
2025-03-21T20:25:18.9728890Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py'
2025-03-21T20:25:18.9729513Z   adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py'
2025-03-21T20:25:18.9730393Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py'
2025-03-21T20:25:18.9731223Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py'
2025-03-21T20:25:18.9732011Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py'
2025-03-21T20:25:18.9732781Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py'
2025-03-21T20:25:18.9733624Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py'
2025-03-21T20:25:18.9734531Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py'
2025-03-21T20:25:18.9735297Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py'
2025-03-21T20:25:18.9736037Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py'
2025-03-21T20:25:18.9736820Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py'
2025-03-21T20:25:18.9737640Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py'
2025-03-21T20:25:18.9738404Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py'
2025-03-21T20:25:18.9739176Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py'
2025-03-21T20:25:18.9740134Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py'
2025-03-21T20:25:18.9740920Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py'
2025-03-21T20:25:18.9741784Z   adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py'
2025-03-21T20:25:18.9742444Z   adding 'executorch/backends/example/example_backend.py'
2025-03-21T20:25:18.9742928Z   adding 'executorch/backends/example/example_partitioner.py'
2025-03-21T20:25:18.9743426Z   adding 'executorch/backends/example/example_quantizer.py'
2025-03-21T20:25:19.0061681Z   adding 'executorch/backends/example/test_example_delegate.py'
2025-03-21T20:25:19.0062731Z   adding 'executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py'
2025-03-21T20:25:19.0063731Z   adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py'
2025-03-21T20:25:19.0064556Z   adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py'
2025-03-21T20:25:19.0065134Z   adding 'executorch/backends/example/example_operators/add.py'
2025-03-21T20:25:19.0065664Z   adding 'executorch/backends/example/example_operators/conv2d.py'
2025-03-21T20:25:19.0066313Z   adding 'executorch/backends/example/example_operators/conv_relu.py'
2025-03-21T20:25:19.0066981Z   adding 'executorch/backends/example/example_operators/dropout.py'
2025-03-21T20:25:19.0067567Z   adding 'executorch/backends/example/example_operators/flatten.py'
2025-03-21T20:25:19.0068104Z   adding 'executorch/backends/example/example_operators/linear.py'
2025-03-21T20:25:19.0068646Z   adding 'executorch/backends/example/example_operators/op_base.py'
2025-03-21T20:25:19.0069270Z   adding 'executorch/backends/example/example_operators/ops.py'
2025-03-21T20:25:19.0069902Z   adding 'executorch/backends/example/example_operators/utils.py'
2025-03-21T20:25:19.0070409Z   adding 'executorch/backends/mediatek/__init__.py'
2025-03-21T20:25:19.0070838Z   adding 'executorch/backends/mediatek/partitioner.py'
2025-03-21T20:25:19.0071264Z   adding 'executorch/backends/mediatek/preprocess.py'
2025-03-21T20:25:19.0071714Z   adding 'executorch/backends/mediatek/_passes/__init__.py'
2025-03-21T20:25:19.0072513Z   adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py'
2025-03-21T20:25:19.0073194Z   adding 'executorch/backends/mediatek/quantizer/__init__.py'
2025-03-21T20:25:19.0073694Z   adding 'executorch/backends/mediatek/quantizer/annotator.py'
2025-03-21T20:25:19.0074177Z   adding 'executorch/backends/mediatek/quantizer/qconfig.py'
2025-03-21T20:25:19.0074671Z   adding 'executorch/backends/mediatek/quantizer/quantizer.py'
2025-03-21T20:25:19.0075155Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2025-03-21T20:25:19.0075620Z   adding 'executorch/backends/qualcomm/_passes/__init__.py'
2025-03-21T20:25:19.0076330Z   adding 'executorch/backends/qualcomm/_passes/annotate_decomposed.py'
2025-03-21T20:25:19.0076956Z   adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py'
2025-03-21T20:25:19.0077495Z   adding 'executorch/backends/qualcomm/_passes/build_quant_io.py'
2025-03-21T20:25:19.0078043Z   adding 'executorch/backends/qualcomm/_passes/constant_i64_to_i32.py'
2025-03-21T20:25:19.0078613Z   adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py'
2025-03-21T20:25:19.0079268Z   adding 'executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py'
2025-03-21T20:25:19.0080101Z   adding 'executorch/backends/qualcomm/_passes/convert_to_linear.py'
2025-03-21T20:25:19.0080680Z   adding 'executorch/backends/qualcomm/_passes/decompose_any.py'
2025-03-21T20:25:19.0081212Z   adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py'
2025-03-21T20:25:19.0081805Z   adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py'
2025-03-21T20:25:19.0082456Z   adding 'executorch/backends/qualcomm/_passes/decompose_silu.py'
2025-03-21T20:25:19.0083051Z   adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py'
2025-03-21T20:25:19.0083676Z   adding 'executorch/backends/qualcomm/_passes/fold_qdq.py'
2025-03-21T20:25:19.0084348Z   adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py'
2025-03-21T20:25:19.0085106Z   adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py'
2025-03-21T20:25:19.0085718Z   adding 'executorch/backends/qualcomm/_passes/insert_requantize.py'
2025-03-21T20:25:19.0086267Z   adding 'executorch/backends/qualcomm/_passes/layout_transform.py'
2025-03-21T20:25:19.0087065Z   adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py'
2025-03-21T20:25:19.0087756Z   adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py'
2025-03-21T20:25:19.0088330Z   adding 'executorch/backends/qualcomm/_passes/recompose_prelu.py'
2025-03-21T20:25:19.0088878Z   adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py'
2025-03-21T20:25:19.0089447Z   adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py'
2025-03-21T20:25:19.0090009Z   adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py'
2025-03-21T20:25:19.0090774Z   adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py'
2025-03-21T20:25:19.0091419Z   adding 'executorch/backends/qualcomm/_passes/replace_inf_buffer.py'
2025-03-21T20:25:19.0092007Z   adding 'executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py'
2025-03-21T20:25:19.0092496Z   adding 'executorch/backends/qualcomm/_passes/utils.py'
2025-03-21T20:25:19.0092941Z   adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs'
2025-03-21T20:25:19.0093583Z   adding 'executorch/backends/qualcomm/builders/__init__.py'
2025-03-21T20:25:19.0094132Z   adding 'executorch/backends/qualcomm/builders/node_visitor.py'
2025-03-21T20:25:19.0094625Z   adding 'executorch/backends/qualcomm/builders/op_abs.py'
2025-03-21T20:25:19.0095160Z   adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py'
2025-03-21T20:25:19.0095686Z   adding 'executorch/backends/qualcomm/builders/op_add.py'
2025-03-21T20:25:19.0096162Z   adding 'executorch/backends/qualcomm/builders/op_arange.py'
2025-03-21T20:25:19.0096648Z   adding 'executorch/backends/qualcomm/builders/op_argmin.py'
2025-03-21T20:25:19.0097159Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
2025-03-21T20:25:19.0097688Z   adding 'executorch/backends/qualcomm/builders/op_batch_norm.py'
2025-03-21T20:25:19.0098181Z   adding 'executorch/backends/qualcomm/builders/op_bmm.py'
2025-03-21T20:25:19.0098648Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2025-03-21T20:25:19.0099123Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
2025-03-21T20:25:19.0099605Z   adding 'executorch/backends/qualcomm/builders/op_clamp.py'
2025-03-21T20:25:19.0100098Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
2025-03-21T20:25:19.0100581Z   adding 'executorch/backends/qualcomm/builders/op_cos.py'
2025-03-21T20:25:19.0101280Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
2025-03-21T20:25:19.0101904Z   adding 'executorch/backends/qualcomm/builders/op_dequantize.py'
2025-03-21T20:25:19.0102407Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2025-03-21T20:25:19.0102911Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2025-03-21T20:25:19.0103412Z   adding 'executorch/backends/qualcomm/builders/op_eq.py'
2025-03-21T20:25:19.0103882Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2025-03-21T20:25:19.0104372Z   adding 'executorch/backends/qualcomm/builders/op_full.py'
2025-03-21T20:25:19.0104873Z   adding 'executorch/backends/qualcomm/builders/op_full_like.py'
2025-03-21T20:25:19.0105366Z   adding 'executorch/backends/qualcomm/builders/op_ge.py'
2025-03-21T20:25:19.0105837Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2025-03-21T20:25:19.0106344Z   adding 'executorch/backends/qualcomm/builders/op_group_norm.py'
2025-03-21T20:25:19.0106978Z   adding 'executorch/backends/qualcomm/builders/op_gt.py'
2025-03-21T20:25:19.0107561Z   adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py'
2025-03-21T20:25:19.0108096Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2025-03-21T20:25:19.0108736Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2025-03-21T20:25:19.0109241Z   adding 'executorch/backends/qualcomm/builders/op_index.py'
2025-03-21T20:25:19.0109779Z   adding 'executorch/backends/qualcomm/builders/op_index_put.py'
2025-03-21T20:25:19.0110316Z   adding 'executorch/backends/qualcomm/builders/op_instance_norm.py'
2025-03-21T20:25:19.0110857Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2025-03-21T20:25:19.0111518Z   adding 'executorch/backends/qualcomm/builders/op_le.py'
2025-03-21T20:25:19.0112047Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2025-03-21T20:25:19.0112529Z   adding 'executorch/backends/qualcomm/builders/op_log.py'
2025-03-21T20:25:19.0113021Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2025-03-21T20:25:19.0113558Z   adding 'executorch/backends/qualcomm/builders/op_logical_not.py'
2025-03-21T20:25:19.0114057Z   adding 'executorch/backends/qualcomm/builders/op_lt.py'
2025-03-21T20:25:19.0114541Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2025-03-21T20:25:19.0115019Z   adding 'executorch/backends/qualcomm/builders/op_max.py'
2025-03-21T20:25:19.0115591Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2025-03-21T20:25:19.0116225Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2025-03-21T20:25:19.0116766Z   adding 'executorch/backends/qualcomm/builders/op_min.py'
2025-03-21T20:25:19.0117236Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2025-03-21T20:25:19.0117699Z   adding 'executorch/backends/qualcomm/builders/op_ne.py'
2025-03-21T20:25:19.0118151Z   adding 'executorch/backends/qualcomm/builders/op_neg.py'
2025-03-21T20:25:19.0118611Z   adding 'executorch/backends/qualcomm/builders/op_or.py'
2025-03-21T20:25:19.0119094Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2025-03-21T20:25:19.0119716Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2025-03-21T20:25:19.0120236Z   adding 'executorch/backends/qualcomm/builders/op_prelu.py'
2025-03-21T20:25:19.0120740Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2025-03-21T20:25:19.0121226Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2025-03-21T20:25:19.0121711Z   adding 'executorch/backends/qualcomm/builders/op_repeat.py'
2025-03-21T20:25:19.0122268Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2025-03-21T20:25:19.0122783Z   adding 'executorch/backends/qualcomm/builders/op_rms_norm.py'
2025-03-21T20:25:19.0123292Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2025-03-21T20:25:19.0123974Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2025-03-21T20:25:19.0124731Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2025-03-21T20:25:19.0125223Z   adding 'executorch/backends/qualcomm/builders/op_sin.py'
2025-03-21T20:25:19.0125717Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2025-03-21T20:25:19.0126241Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2025-03-21T20:25:19.0126766Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2025-03-21T20:25:19.0127488Z   adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py'
2025-03-21T20:25:19.0128122Z   adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py'
2025-03-21T20:25:19.0128650Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2025-03-21T20:25:19.0129140Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2025-03-21T20:25:19.0129624Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2025-03-21T20:25:19.0130223Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2025-03-21T20:25:19.0130850Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2025-03-21T20:25:19.0131333Z   adding 'executorch/backends/qualcomm/builders/op_to.py'
2025-03-21T20:25:19.0131801Z   adding 'executorch/backends/qualcomm/builders/op_topk.py'
2025-03-21T20:25:19.0470466Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2025-03-21T20:25:19.0471660Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2025-03-21T20:25:19.0472431Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2025-03-21T20:25:19.0473112Z   adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py'
2025-03-21T20:25:19.0473664Z   adding 'executorch/backends/qualcomm/builders/op_where.py'
2025-03-21T20:25:19.0474171Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2025-03-21T20:25:19.0474767Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2025-03-21T20:25:19.0475281Z   adding 'executorch/backends/qualcomm/debugger/utils.py'
2025-03-21T20:25:19.0475762Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2025-03-21T20:25:19.0476306Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2025-03-21T20:25:19.0476906Z   adding 'executorch/backends/qualcomm/partition/utils.py'
2025-03-21T20:25:19.0477402Z   adding 'executorch/backends/qualcomm/quantizer/annotators.py'
2025-03-21T20:25:19.0478011Z   adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py'
2025-03-21T20:25:19.0478537Z   adding 'executorch/backends/qualcomm/quantizer/qconfig.py'
2025-03-21T20:25:19.0479061Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2025-03-21T20:25:19.0479773Z   adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py'
2025-03-21T20:25:19.0480532Z   adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs'
2025-03-21T20:25:19.0481120Z   adding 'executorch/backends/qualcomm/serialization/qc_schema.py'
2025-03-21T20:25:19.0481757Z   adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py'
2025-03-21T20:25:19.0482418Z   adding 'executorch/backends/qualcomm/tests/models.py'
2025-03-21T20:25:19.0482967Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2025-03-21T20:25:19.0483443Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2025-03-21T20:25:19.0483900Z   adding 'executorch/backends/qualcomm/utils/constants.py'
2025-03-21T20:25:19.0484387Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2025-03-21T20:25:19.0484588Z   adding 'executorch/backends/transforms/__init__.py'
2025-03-21T20:25:19.0484800Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2025-03-21T20:25:19.0484995Z   adding 'executorch/backends/transforms/convert_dtype_pass.py'
2025-03-21T20:25:19.0485196Z   adding 'executorch/backends/transforms/decompose_sdpa.py'
2025-03-21T20:25:19.0485495Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2025-03-21T20:25:19.0485736Z   adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py'
2025-03-21T20:25:19.0485940Z   adding 'executorch/backends/transforms/fuse_conv_with_clamp.py'
2025-03-21T20:25:19.0486140Z   adding 'executorch/backends/transforms/fuse_dequant_linear.py'
2025-03-21T20:25:19.0486337Z   adding 'executorch/backends/transforms/fuse_view_copy.py'
2025-03-21T20:25:19.0486522Z   adding 'executorch/backends/transforms/mean_to_sum_div.py'
2025-03-21T20:25:19.0486724Z   adding 'executorch/backends/transforms/rank_0_to_rank_1.py'
2025-03-21T20:25:19.0486915Z   adding 'executorch/backends/transforms/remove_clone_ops.py'
2025-03-21T20:25:19.0487237Z   adding 'executorch/backends/transforms/replace_scalar_with_tensor.py'
2025-03-21T20:25:19.0487388Z   adding 'executorch/backends/transforms/utils.py'
2025-03-21T20:25:19.0487640Z   adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py'
2025-03-21T20:25:19.0488024Z   adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py'
2025-03-21T20:25:19.0488314Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2025-03-21T20:25:19.0488559Z   adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py'
2025-03-21T20:25:19.0488702Z   adding 'executorch/backends/vulkan/__init__.py'
2025-03-21T20:25:19.0488882Z   adding 'executorch/backends/vulkan/custom_ops_lib.py'
2025-03-21T20:25:19.0489122Z   adding 'executorch/backends/vulkan/op_registry.py'
2025-03-21T20:25:19.0489261Z   adding 'executorch/backends/vulkan/utils.py'
2025-03-21T20:25:19.0489569Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2025-03-21T20:25:19.0489758Z   adding 'executorch/backends/vulkan/_passes/__init__.py'
2025-03-21T20:25:19.0489997Z   adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py'
2025-03-21T20:25:19.0490255Z   adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py'
2025-03-21T20:25:19.0490506Z   adding 'executorch/backends/vulkan/_passes/remove_asserts.py'
2025-03-21T20:25:19.0490769Z   adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py'
2025-03-21T20:25:19.0490990Z   adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py'
2025-03-21T20:25:19.0491244Z   adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py'
2025-03-21T20:25:19.0491465Z   adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py'
2025-03-21T20:25:19.0491723Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2025-03-21T20:25:19.0491944Z   adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py'
2025-03-21T20:25:19.0492155Z   adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py'
2025-03-21T20:25:19.0492448Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml'
2025-03-21T20:25:19.0492754Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml'
2025-03-21T20:25:19.0493112Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml'
2025-03-21T20:25:19.0493358Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml'
2025-03-21T20:25:19.0493633Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml'
2025-03-21T20:25:19.0493939Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml'
2025-03-21T20:25:19.0494204Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2025-03-21T20:25:19.0494579Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml'
2025-03-21T20:25:19.0494868Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml'
2025-03-21T20:25:19.0495151Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml'
2025-03-21T20:25:19.0495381Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2025-03-21T20:25:19.0495625Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2025-03-21T20:25:19.0495859Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2025-03-21T20:25:19.0496118Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2025-03-21T20:25:19.0496421Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2025-03-21T20:25:19.0496761Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2025-03-21T20:25:19.0497092Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml'
2025-03-21T20:25:19.0497407Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2025-03-21T20:25:19.0497671Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2025-03-21T20:25:19.0497958Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2025-03-21T20:25:19.0498371Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2025-03-21T20:25:19.0498711Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2025-03-21T20:25:19.0498982Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2025-03-21T20:25:19.0499344Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml'
2025-03-21T20:25:19.0499597Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml'
2025-03-21T20:25:19.0499900Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml'
2025-03-21T20:25:19.0500175Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2025-03-21T20:25:19.0500450Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml'
2025-03-21T20:25:19.0500715Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2025-03-21T20:25:19.0500993Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml'
2025-03-21T20:25:19.0501292Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml'
2025-03-21T20:25:19.0501593Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml'
2025-03-21T20:25:19.0501935Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2025-03-21T20:25:19.0502223Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2025-03-21T20:25:19.0502650Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml'
2025-03-21T20:25:19.0502931Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml'
2025-03-21T20:25:19.0503210Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2025-03-21T20:25:19.0503440Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2025-03-21T20:25:19.0503715Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml'
2025-03-21T20:25:19.0504003Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml'
2025-03-21T20:25:19.0504248Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2025-03-21T20:25:19.0504516Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml'
2025-03-21T20:25:19.0504771Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml'
2025-03-21T20:25:19.0505086Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml'
2025-03-21T20:25:19.0505326Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml'
2025-03-21T20:25:19.0505613Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2025-03-21T20:25:19.0505942Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml'
2025-03-21T20:25:19.0506273Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml'
2025-03-21T20:25:19.0506635Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml'
2025-03-21T20:25:19.0506965Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml'
2025-03-21T20:25:19.0507263Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml'
2025-03-21T20:25:19.0507549Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml'
2025-03-21T20:25:19.0507842Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml'
2025-03-21T20:25:19.0941204Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml'
2025-03-21T20:25:19.0941634Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml'
2025-03-21T20:25:19.0941916Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml'
2025-03-21T20:25:19.0942330Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml'
2025-03-21T20:25:19.0942810Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml'
2025-03-21T20:25:19.0943225Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml'
2025-03-21T20:25:19.0943681Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2025-03-21T20:25:19.0944195Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml'
2025-03-21T20:25:19.0944603Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2025-03-21T20:25:19.0945106Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2025-03-21T20:25:19.0945493Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2025-03-21T20:25:19.0946055Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2025-03-21T20:25:19.0946590Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2025-03-21T20:25:19.0946963Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2025-03-21T20:25:19.0947350Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2025-03-21T20:25:19.0947757Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2025-03-21T20:25:19.0948058Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2025-03-21T20:25:19.0948259Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2025-03-21T20:25:19.0948519Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py'
2025-03-21T20:25:19.0948884Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py'
2025-03-21T20:25:19.0949123Z   adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py'
2025-03-21T20:25:19.0949395Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py'
2025-03-21T20:25:19.0949651Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py'
2025-03-21T20:25:19.0949989Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py'
2025-03-21T20:25:19.0950445Z   adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py'
2025-03-21T20:25:19.0950838Z   adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py'
2025-03-21T20:25:19.0951471Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py'
2025-03-21T20:25:19.0952008Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2025-03-21T20:25:19.0952476Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2025-03-21T20:25:19.0952787Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
2025-03-21T20:25:19.0953105Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py'
2025-03-21T20:25:19.0953413Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py'
2025-03-21T20:25:19.0953726Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py'
2025-03-21T20:25:19.0954060Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2025-03-21T20:25:19.0954478Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2025-03-21T20:25:19.0954706Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2025-03-21T20:25:19.0954960Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml'
2025-03-21T20:25:19.0955266Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml'
2025-03-21T20:25:19.0955650Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml'
2025-03-21T20:25:19.0956094Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml'
2025-03-21T20:25:19.0956633Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml'
2025-03-21T20:25:19.0957038Z   adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml'
2025-03-21T20:25:19.0957299Z   adding 'executorch/backends/xnnpack/__init__.py'
2025-03-21T20:25:19.0957601Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2025-03-21T20:25:19.0957867Z   adding 'executorch/backends/xnnpack/_passes/__init__.py'
2025-03-21T20:25:19.0958152Z   adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py'
2025-03-21T20:25:19.0958382Z   adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py'
2025-03-21T20:25:19.0958668Z   adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py'
2025-03-21T20:25:19.0958992Z   adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py'
2025-03-21T20:25:19.0959333Z   adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py'
2025-03-21T20:25:19.0959531Z   adding 'executorch/backends/xnnpack/_passes/decompose_cat.py'
2025-03-21T20:25:19.0959769Z   adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py'
2025-03-21T20:25:19.0960013Z   adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py'
2025-03-21T20:25:19.0960229Z   adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py'
2025-03-21T20:25:19.0960455Z   adding 'executorch/backends/xnnpack/_passes/remove_getitem_op.py'
2025-03-21T20:25:19.0960710Z   adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py'
2025-03-21T20:25:19.0960970Z   adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py'
2025-03-21T20:25:19.0961155Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2025-03-21T20:25:19.0961370Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2025-03-21T20:25:19.0961569Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2025-03-21T20:25:19.0961780Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2025-03-21T20:25:19.0961975Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2025-03-21T20:25:19.0962196Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2025-03-21T20:25:19.0962460Z   adding 'executorch/backends/xnnpack/operators/op_bmm.py'
2025-03-21T20:25:19.0962636Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2025-03-21T20:25:19.0962841Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2025-03-21T20:25:19.0963021Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2025-03-21T20:25:19.0963219Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2025-03-21T20:25:19.0963467Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2025-03-21T20:25:19.0963732Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2025-03-21T20:25:19.0964003Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2025-03-21T20:25:19.0964230Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2025-03-21T20:25:19.0964431Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
2025-03-21T20:25:19.0964634Z   adding 'executorch/backends/xnnpack/operators/op_hardswish.py'
2025-03-21T20:25:19.0964834Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2025-03-21T20:25:19.0965055Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2025-03-21T20:25:19.0965243Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2025-03-21T20:25:19.0965516Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
2025-03-21T20:25:19.0965709Z   adding 'executorch/backends/xnnpack/operators/op_max_dim.py'
2025-03-21T20:25:19.0965928Z   adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py'
2025-03-21T20:25:19.0966198Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
2025-03-21T20:25:19.0966401Z   adding 'executorch/backends/xnnpack/operators/op_mean_dim.py'
2025-03-21T20:25:19.0966606Z   adding 'executorch/backends/xnnpack/operators/op_minimum.py'
2025-03-21T20:25:19.0966806Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
2025-03-21T20:25:19.0967059Z   adding 'executorch/backends/xnnpack/operators/op_negate.py'
2025-03-21T20:25:19.0967253Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
2025-03-21T20:25:19.0967451Z   adding 'executorch/backends/xnnpack/operators/op_prelu.py'
2025-03-21T20:25:19.0967671Z   adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py'
2025-03-21T20:25:19.0967852Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2025-03-21T20:25:19.0968049Z   adding 'executorch/backends/xnnpack/operators/op_rsqrt.py'
2025-03-21T20:25:19.0968230Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2025-03-21T20:25:19.0968446Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
2025-03-21T20:25:19.0968716Z   adding 'executorch/backends/xnnpack/operators/op_skip_ops.py'
2025-03-21T20:25:19.0969013Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2025-03-21T20:25:19.0969263Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2025-03-21T20:25:19.0969500Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2025-03-21T20:25:19.0969727Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
2025-03-21T20:25:19.0969979Z   adding 'executorch/backends/xnnpack/operators/op_squeeze.py'
2025-03-21T20:25:19.0970244Z   adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py'
2025-03-21T20:25:19.0970514Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
2025-03-21T20:25:19.0970706Z   adding 'executorch/backends/xnnpack/operators/op_sub.py'
2025-03-21T20:25:19.0970898Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2025-03-21T20:25:19.0971107Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2025-03-21T20:25:19.0971306Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2025-03-21T20:25:19.0971548Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2025-03-21T20:25:19.0971783Z   adding 'executorch/backends/xnnpack/partition/config/__init__.py'
2025-03-21T20:25:19.0972049Z   adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py'
2025-03-21T20:25:19.0972381Z   adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py'
2025-03-21T20:25:19.0972614Z   adding 'executorch/backends/xnnpack/partition/config/node_configs.py'
2025-03-21T20:25:19.0972926Z   adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py'
2025-03-21T20:25:19.0973189Z   adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py'
2025-03-21T20:25:19.0973421Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2025-03-21T20:25:19.0973637Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2025-03-21T20:25:19.0973868Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py'
2025-03-21T20:25:19.0974140Z   adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py'
2025-03-21T20:25:19.1320658Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2025-03-21T20:25:19.1321072Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2025-03-21T20:25:19.1321539Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
2025-03-21T20:25:19.1321816Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py'
2025-03-21T20:25:19.1322041Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py'
2025-03-21T20:25:19.1322339Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py'
2025-03-21T20:25:19.1322560Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
2025-03-21T20:25:19.1322753Z   adding 'executorch/backends/xnnpack/test/models/edsr.py'
2025-03-21T20:25:19.1323076Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2025-03-21T20:25:19.1323298Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2025-03-21T20:25:19.1323511Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
2025-03-21T20:25:19.1323808Z   adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py'
2025-03-21T20:25:19.1324012Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
2025-03-21T20:25:19.1324237Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py'
2025-03-21T20:25:19.1324594Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2025-03-21T20:25:19.1324793Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2025-03-21T20:25:19.1325018Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2025-03-21T20:25:19.1325238Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2025-03-21T20:25:19.1325457Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2025-03-21T20:25:19.1325811Z   adding 'executorch/backends/xnnpack/test/ops/test_abs.py'
2025-03-21T20:25:19.1326195Z   adding 'executorch/backends/xnnpack/test/ops/test_add.py'
2025-03-21T20:25:19.1326472Z   adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py'
2025-03-21T20:25:19.1326702Z   adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py'
2025-03-21T20:25:19.1326879Z   adding 'executorch/backends/xnnpack/test/ops/test_bmm.py'
2025-03-21T20:25:19.1327054Z   adding 'executorch/backends/xnnpack/test/ops/test_cat.py'
2025-03-21T20:25:19.1327247Z   adding 'executorch/backends/xnnpack/test/ops/test_ceil.py'
2025-03-21T20:25:19.1327495Z   adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py'
2025-03-21T20:25:19.1327695Z   adding 'executorch/backends/xnnpack/test/ops/test_clamp.py'
2025-03-21T20:25:19.1327915Z   adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py'
2025-03-21T20:25:19.1328117Z   adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py'
2025-03-21T20:25:19.1328299Z   adding 'executorch/backends/xnnpack/test/ops/test_div.py'
2025-03-21T20:25:19.1328490Z   adding 'executorch/backends/xnnpack/test/ops/test_elu.py'
2025-03-21T20:25:19.1328674Z   adding 'executorch/backends/xnnpack/test/ops/test_floor.py'
2025-03-21T20:25:19.1328894Z   adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py'
2025-03-21T20:25:19.1329093Z   adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py'
2025-03-21T20:25:19.1329303Z   adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py'
2025-03-21T20:25:19.1329504Z   adding 'executorch/backends/xnnpack/test/ops/test_linear.py'
2025-03-21T20:25:19.1329685Z   adding 'executorch/backends/xnnpack/test/ops/test_lstm.py'
2025-03-21T20:25:19.1329929Z   adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py'
2025-03-21T20:25:19.1330174Z   adding 'executorch/backends/xnnpack/test/ops/test_maximum.py'
2025-03-21T20:25:19.1330457Z   adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py'
2025-03-21T20:25:19.1330675Z   adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py'
2025-03-21T20:25:19.1330934Z   adding 'executorch/backends/xnnpack/test/ops/test_minimum.py'
2025-03-21T20:25:19.1331148Z   adding 'executorch/backends/xnnpack/test/ops/test_multiply.py'
2025-03-21T20:25:19.1331338Z   adding 'executorch/backends/xnnpack/test/ops/test_negate.py'
2025-03-21T20:25:19.1331547Z   adding 'executorch/backends/xnnpack/test/ops/test_permute.py'
2025-03-21T20:25:19.1331726Z   adding 'executorch/backends/xnnpack/test/ops/test_pow.py'
2025-03-21T20:25:19.1331924Z   adding 'executorch/backends/xnnpack/test/ops/test_prelu.py'
2025-03-21T20:25:19.1332175Z   adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py'
2025-03-21T20:25:19.1332356Z   adding 'executorch/backends/xnnpack/test/ops/test_relu.py'
2025-03-21T20:25:19.1332553Z   adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py'
2025-03-21T20:25:19.1332734Z   adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py'
2025-03-21T20:25:19.1332944Z   adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py'
2025-03-21T20:25:19.1333156Z   adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py'
2025-03-21T20:25:19.1333363Z   adding 'executorch/backends/xnnpack/test/ops/test_softmax.py'
2025-03-21T20:25:19.1333544Z   adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py'
2025-03-21T20:25:19.1333733Z   adding 'executorch/backends/xnnpack/test/ops/test_square.py'
2025-03-21T20:25:19.1334086Z   adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py'
2025-03-21T20:25:19.1334296Z   adding 'executorch/backends/xnnpack/test/ops/test_sub.py'
2025-03-21T20:25:19.1334648Z   adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py'
2025-03-21T20:25:19.1334961Z   adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py'
2025-03-21T20:25:19.1335281Z   adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py'
2025-03-21T20:25:19.1335625Z   adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py'
2025-03-21T20:25:19.1335888Z   adding 'executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py'
2025-03-21T20:25:19.1336225Z   adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py'
2025-03-21T20:25:19.1336509Z   adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py'
2025-03-21T20:25:19.1336877Z   adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py'
2025-03-21T20:25:19.1337219Z   adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py'
2025-03-21T20:25:19.1337553Z   adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py'
2025-03-21T20:25:19.1337826Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2025-03-21T20:25:19.1338079Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2025-03-21T20:25:19.1338285Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
2025-03-21T20:25:19.1338474Z   adding 'executorch/backends/xnnpack/test/tester/tester.py'
2025-03-21T20:25:19.1338770Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2025-03-21T20:25:19.1338993Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
2025-03-21T20:25:19.1339218Z   adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml'
2025-03-21T20:25:19.1339525Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py'
2025-03-21T20:25:19.1339827Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py'
2025-03-21T20:25:19.1340156Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py'
2025-03-21T20:25:19.1340472Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2025-03-21T20:25:19.1340710Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
2025-03-21T20:25:19.1340925Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml'
2025-03-21T20:25:19.1341225Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py'
2025-03-21T20:25:19.1341539Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py'
2025-03-21T20:25:19.1341900Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py'
2025-03-21T20:25:19.1342193Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2025-03-21T20:25:19.1342485Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2025-03-21T20:25:19.1342804Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
2025-03-21T20:25:19.1343167Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml'
2025-03-21T20:25:19.1343575Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml'
2025-03-21T20:25:19.1343960Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml'
2025-03-21T20:25:19.1344267Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml'
2025-03-21T20:25:19.1344559Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml'
2025-03-21T20:25:19.1344847Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml'
2025-03-21T20:25:19.1345156Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml'
2025-03-21T20:25:19.1345435Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml'
2025-03-21T20:25:19.1345741Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml'
2025-03-21T20:25:19.1346073Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml'
2025-03-21T20:25:19.1346344Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
2025-03-21T20:25:19.1346600Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml'
2025-03-21T20:25:19.1346959Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml'
2025-03-21T20:25:19.1347344Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml'
2025-03-21T20:25:19.1347716Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml'
2025-03-21T20:25:19.1348090Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml'
2025-03-21T20:25:19.1348378Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml'
2025-03-21T20:25:19.1348663Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml'
2025-03-21T20:25:19.1348953Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml'
2025-03-21T20:25:19.1349254Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml'
2025-03-21T20:25:19.1349560Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml'
2025-03-21T20:25:19.1349851Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml'
2025-03-21T20:25:19.1350145Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml'
2025-03-21T20:25:19.1350400Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml'
2025-03-21T20:25:19.1693951Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml'
2025-03-21T20:25:19.1694595Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml'
2025-03-21T20:25:19.1695129Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml'
2025-03-21T20:25:19.1695687Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml'
2025-03-21T20:25:19.1696166Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml'
2025-03-21T20:25:19.1696482Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml'
2025-03-21T20:25:19.1696818Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml'
2025-03-21T20:25:19.1697133Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml'
2025-03-21T20:25:19.1697456Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml'
2025-03-21T20:25:19.1697751Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml'
2025-03-21T20:25:19.1698044Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml'
2025-03-21T20:25:19.1698351Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml'
2025-03-21T20:25:19.1698635Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml'
2025-03-21T20:25:19.1698981Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml'
2025-03-21T20:25:19.1699243Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml'
2025-03-21T20:25:19.1699519Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml'
2025-03-21T20:25:19.1699780Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml'
2025-03-21T20:25:19.1700133Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml'
2025-03-21T20:25:19.1700393Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml'
2025-03-21T20:25:19.1700684Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml'
2025-03-21T20:25:19.1701008Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml'
2025-03-21T20:25:19.1701325Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml'
2025-03-21T20:25:19.1701630Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml'
2025-03-21T20:25:19.1701959Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml'
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2025-03-21T20:25:19.1703196Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml'
2025-03-21T20:25:19.1717076Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml'
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2025-03-21T20:25:19.1719361Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml'
2025-03-21T20:25:19.1719718Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml'
2025-03-21T20:25:19.1720035Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml'
2025-03-21T20:25:19.1720311Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml'
2025-03-21T20:25:19.1720621Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml'
2025-03-21T20:25:19.1720949Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml'
2025-03-21T20:25:19.1721260Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml'
2025-03-21T20:25:19.1721594Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml'
2025-03-21T20:25:19.1721862Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml'
2025-03-21T20:25:19.1722123Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml'
2025-03-21T20:25:19.1722499Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml'
2025-03-21T20:25:19.1722773Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml'
2025-03-21T20:25:19.1723058Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml'
2025-03-21T20:25:19.1723312Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml'
2025-03-21T20:25:19.1723573Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml'
2025-03-21T20:25:19.1723907Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py'
2025-03-21T20:25:19.1724227Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py'
2025-03-21T20:25:19.1724779Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py'
2025-03-21T20:25:19.1725153Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py'
2025-03-21T20:25:19.1725518Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py'
2025-03-21T20:25:19.1725857Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py'
2025-03-21T20:25:19.1726170Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py'
2025-03-21T20:25:19.1726517Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py'
2025-03-21T20:25:19.1726855Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py'
2025-03-21T20:25:19.1727173Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py'
2025-03-21T20:25:19.1727619Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py'
2025-03-21T20:25:19.1728067Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py'
2025-03-21T20:25:19.1728397Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py'
2025-03-21T20:25:19.1728801Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py'
2025-03-21T20:25:19.1729131Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py'
2025-03-21T20:25:19.1729446Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py'
2025-03-21T20:25:19.1729751Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py'
2025-03-21T20:25:19.1730066Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py'
2025-03-21T20:25:19.1730379Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py'
2025-03-21T20:25:19.1730709Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py'
2025-03-21T20:25:19.1731095Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py'
2025-03-21T20:25:19.1731439Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py'
2025-03-21T20:25:19.1731756Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py'
2025-03-21T20:25:19.1732006Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py'
2025-03-21T20:25:19.1732320Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py'
2025-03-21T20:25:19.1732564Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py'
2025-03-21T20:25:19.1732822Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py'
2025-03-21T20:25:19.1733072Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/configure.py'
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2025-03-21T20:25:19.1733851Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml'
2025-03-21T20:25:19.1734176Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py'
2025-03-21T20:25:19.1734520Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py'
2025-03-21T20:25:19.1734851Z   adding 'executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py'
2025-03-21T20:25:19.1735104Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/configure.py'
2025-03-21T20:25:19.1735344Z   adding 'executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml'
2025-03-21T20:25:19.1735524Z   adding 'executorch/backends/xnnpack/utils/configs.py'
2025-03-21T20:25:19.1735709Z   adding 'executorch/backends/xnnpack/utils/quant_utils.py'
2025-03-21T20:25:19.1735875Z   adding 'executorch/backends/xnnpack/utils/utils.py'
2025-03-21T20:25:19.1736092Z   adding 'executorch/backends/xnnpack/utils/xnnpack_constants.py'
2025-03-21T20:25:19.1736231Z   adding 'executorch/codegen/__init__.py'
2025-03-21T20:25:19.1736370Z   adding 'executorch/codegen/tools/__init__.py'
2025-03-21T20:25:19.1736525Z   adding 'executorch/codegen/tools/gen_all_oplist.py'
2025-03-21T20:25:19.1736680Z   adding 'executorch/codegen/tools/gen_oplist.py'
2025-03-21T20:25:19.1736826Z   adding 'executorch/codegen/tools/gen_ops_def.py'
2025-03-21T20:25:19.1737034Z   adding 'executorch/codegen/tools/gen_selected_op_variants.py'
2025-03-21T20:25:19.1737175Z   adding 'executorch/codegen/tools/merge_yaml.py'
2025-03-21T20:25:19.1737315Z   adding 'executorch/codegen/tools/yaml_util.py'
2025-03-21T20:25:19.1737522Z   adding 'executorch/codegen/tools/test/test_gen_all_oplist.py'
2025-03-21T20:25:19.1737755Z   adding 'executorch/codegen/tools/test/test_gen_oplist.py'
2025-03-21T20:25:19.4963879Z   adding 'executorch/codegen/tools/test/test_gen_oplist_real_model.py'
2025-03-21T20:25:19.4965319Z   adding 'executorch/codegen/tools/test/test_gen_selected_op_variants.py'
2025-03-21T20:25:19.4965850Z   adding 'executorch/data/bin/__init__.py'
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2025-03-21T20:25:19.4969940Z   adding 'executorch/devtools/bundled_program/config.py'
2025-03-21T20:25:19.4970704Z   adding 'executorch/devtools/bundled_program/core.py'
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2025-03-21T20:25:19.4977913Z   adding 'executorch/devtools/bundled_program/serialize/__init__.py'
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2025-03-21T20:25:19.4981172Z   adding 'executorch/devtools/bundled_program/test/test_bundle_data.py'
2025-03-21T20:25:19.4981748Z   adding 'executorch/devtools/bundled_program/test/test_config.py'
2025-03-21T20:25:19.4982592Z   adding 'executorch/devtools/bundled_program/test/test_end2end.py'
2025-03-21T20:25:19.4983564Z   adding 'executorch/devtools/bundled_program/util/test_util.py'
2025-03-21T20:25:19.4984263Z   adding 'executorch/devtools/debug_format/base_schema.py'
2025-03-21T20:25:19.4984872Z   adding 'executorch/devtools/debug_format/et_schema.py'
2025-03-21T20:25:19.4985740Z   adding 'executorch/devtools/etdump/etdump_schema_flatcc.fbs'
2025-03-21T20:25:19.4986534Z   adding 'executorch/devtools/etdump/scalar_type.fbs'
2025-03-21T20:25:19.4987149Z   adding 'executorch/devtools/etdump/schema_flatcc.py'
2025-03-21T20:25:19.4987920Z   adding 'executorch/devtools/etdump/serialize.py'
2025-03-21T20:25:19.4988697Z   adding 'executorch/devtools/etdump/tests/serialize_test.py'
2025-03-21T20:25:19.4989202Z   adding 'executorch/devtools/etrecord/__init__.py'
2025-03-21T20:25:19.4989949Z   adding 'executorch/devtools/etrecord/_etrecord.py'
2025-03-21T20:25:19.4990794Z   adding 'executorch/devtools/etrecord/tests/etrecord_test.py'
2025-03-21T20:25:19.4991411Z   adding 'executorch/devtools/inspector/__init__.py'
2025-03-21T20:25:19.4991922Z   adding 'executorch/devtools/inspector/_inspector.py'
2025-03-21T20:25:19.4992729Z   adding 'executorch/devtools/inspector/_inspector_utils.py'
2025-03-21T20:25:19.4993589Z   adding 'executorch/devtools/inspector/inspector_cli.py'
2025-03-21T20:25:19.4994161Z   adding 'executorch/devtools/inspector/tests/event_blocks_test.py'
2025-03-21T20:25:19.4994705Z   adding 'executorch/devtools/inspector/tests/inspector_test.py'
2025-03-21T20:25:19.4995259Z   adding 'executorch/devtools/inspector/tests/inspector_utils_test.py'
2025-03-21T20:25:19.4996225Z   adding 'executorch/devtools/size_analysis_tool/size_analysis_tool.py'
2025-03-21T20:25:19.4997322Z   adding 'executorch/devtools/size_analysis_tool/size_analysis_tool_test.py'
2025-03-21T20:25:19.4999025Z   adding 'executorch/devtools/visualization/__init__.py'
2025-03-21T20:25:19.4999833Z   adding 'executorch/devtools/visualization/visualization_utils.py'
2025-03-21T20:25:19.5001007Z   adding 'executorch/devtools/visualization/visualization_utils_test.py'
2025-03-21T20:25:19.5001995Z   adding 'executorch/examples/apple/coreml/llama/export.py'
2025-03-21T20:25:19.5003036Z   adding 'executorch/examples/apple/coreml/llama/llama_transformer.py'
2025-03-21T20:25:19.5003865Z   adding 'executorch/examples/apple/coreml/llama/run.py'
2025-03-21T20:25:19.5004641Z   adding 'executorch/examples/apple/coreml/llama/test.py'
2025-03-21T20:25:19.5005496Z   adding 'executorch/examples/apple/coreml/llama/utils.py'
2025-03-21T20:25:19.5006344Z   adding 'executorch/examples/llm_pte_finetuning/__init__.py'
2025-03-21T20:25:19.5007282Z   adding 'executorch/examples/llm_pte_finetuning/model_exporter.py'
2025-03-21T20:25:19.5008299Z   adding 'executorch/examples/llm_pte_finetuning/model_loading_lib.py'
2025-03-21T20:25:19.5009446Z   adding 'executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml'
2025-03-21T20:25:19.5010453Z   adding 'executorch/examples/llm_pte_finetuning/phi3_config.yaml'
2025-03-21T20:25:19.5011490Z   adding 'executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml'
2025-03-21T20:25:19.5012136Z   adding 'executorch/examples/llm_pte_finetuning/runner.py'
2025-03-21T20:25:19.5012633Z   adding 'executorch/examples/llm_pte_finetuning/training_lib.py'
2025-03-21T20:25:19.5013104Z   adding 'executorch/examples/models/__init__.py'
2025-03-21T20:25:19.5013523Z   adding 'executorch/examples/models/checkpoint.py'
2025-03-21T20:25:19.5014025Z   adding 'executorch/examples/models/model_base.py'
2025-03-21T20:25:19.5014774Z   adding 'executorch/examples/models/model_factory.py'
2025-03-21T20:25:19.5015589Z   adding 'executorch/examples/models/deeplab_v3/__init__.py'
2025-03-21T20:25:19.5016185Z   adding 'executorch/examples/models/deeplab_v3/model.py'
2025-03-21T20:25:19.5016934Z   adding 'executorch/examples/models/edsr/__init__.py'
2025-03-21T20:25:19.5017711Z   adding 'executorch/examples/models/edsr/model.py'
2025-03-21T20:25:19.5018396Z   adding 'executorch/examples/models/efficient_sam/__init__.py'
2025-03-21T20:25:19.5018916Z   adding 'executorch/examples/models/efficient_sam/model.py'
2025-03-21T20:25:19.5019533Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py'
2025-03-21T20:25:19.5020292Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py'
2025-03-21T20:25:19.5021047Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py'
2025-03-21T20:25:19.5022498Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py'
2025-03-21T20:25:19.5023484Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py'
2025-03-21T20:25:19.5024194Z   adding 'executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py'
2025-03-21T20:25:19.5025275Z   adding 'executorch/examples/models/emformer_rnnt/__init__.py'
2025-03-21T20:25:19.5026166Z   adding 'executorch/examples/models/emformer_rnnt/model.py'
2025-03-21T20:25:19.5026964Z   adding 'executorch/examples/models/inception_v3/__init__.py'
2025-03-21T20:25:19.5027614Z   adding 'executorch/examples/models/inception_v3/model.py'
2025-03-21T20:25:19.5028499Z   adding 'executorch/examples/models/inception_v4/__init__.py'
2025-03-21T20:25:19.5029315Z   adding 'executorch/examples/models/inception_v4/model.py'
2025-03-21T20:25:19.5030123Z   adding 'executorch/examples/models/llama/__init__.py'
2025-03-21T20:25:19.5030942Z   adding 'executorch/examples/models/llama/attention.py'
2025-03-21T20:25:19.5031753Z   adding 'executorch/examples/models/llama/eval_llama.py'
2025-03-21T20:25:19.5032602Z   adding 'executorch/examples/models/llama/eval_llama_lib.py'
2025-03-21T20:25:19.5033411Z   adding 'executorch/examples/models/llama/export_llama.py'
2025-03-21T20:25:19.5034310Z   adding 'executorch/examples/models/llama/export_llama_lib.py'
2025-03-21T20:25:19.5035368Z   adding 'executorch/examples/models/llama/fairseq2.py'
2025-03-21T20:25:19.5036494Z   adding 'executorch/examples/models/llama/install_requirement_helper.py'
2025-03-21T20:25:19.5037446Z   adding 'executorch/examples/models/llama/llama_test.py'
2025-03-21T20:25:19.5038350Z   adding 'executorch/examples/models/llama/llama_transformer.py'
2025-03-21T20:25:19.5039197Z   adding 'executorch/examples/models/llama/model.py'
2025-03-21T20:25:19.5040007Z   adding 'executorch/examples/models/llama/model_args.py'
2025-03-21T20:25:19.5040785Z   adding 'executorch/examples/models/llama/norm.py'
2025-03-21T20:25:19.5041518Z   adding 'executorch/examples/models/llama/rope.py'
2025-03-21T20:25:19.5042433Z   adding 'executorch/examples/models/llama/static_attention.py'
2025-03-21T20:25:19.5043355Z   adding 'executorch/examples/models/llama/evaluate/__init__.py'
2025-03-21T20:25:19.5044336Z   adding 'executorch/examples/models/llama/evaluate/eager_eval.py'
2025-03-21T20:25:19.5045016Z   adding 'executorch/examples/models/llama/experimental/generate.py'
2025-03-21T20:25:19.5045616Z   adding 'executorch/examples/models/llama/experimental/load_gguf_q4_0.py'
2025-03-21T20:25:19.5046530Z   adding 'executorch/examples/models/llama/experimental/subclass.py'
2025-03-21T20:25:19.5047612Z   adding 'executorch/examples/models/llama/experimental/test_subclass.py'
2025-03-21T20:25:19.5048548Z   adding 'executorch/examples/models/llama/runner/eager.py'
2025-03-21T20:25:19.5049465Z   adding 'executorch/examples/models/llama/runner/generation.py'
2025-03-21T20:25:19.5050125Z   adding 'executorch/examples/models/llama/runner/native.py'
2025-03-21T20:25:19.5051118Z   adding 'executorch/examples/models/llama/source_transformation/__init__.py'
2025-03-21T20:25:19.5052274Z   adding 'executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py'
2025-03-21T20:25:19.5053141Z   adding 'executorch/examples/models/llama/source_transformation/attention.py'
2025-03-21T20:25:19.5054418Z   adding 'executorch/examples/models/llama/source_transformation/attention_sink.py'
2025-03-21T20:25:19.5055596Z   adding 'executorch/examples/models/llama/source_transformation/lora.py'
2025-03-21T20:25:19.5056827Z   adding 'executorch/examples/models/llama/source_transformation/pre_quantization.py'
2025-03-21T20:25:19.5058136Z   adding 'executorch/examples/models/llama/source_transformation/prune_vocab.py'
2025-03-21T20:25:19.5059047Z   adding 'executorch/examples/models/llama/source_transformation/quantize.py'
2025-03-21T20:25:19.5059757Z   adding 'executorch/examples/models/llama/source_transformation/quantized_kv_cache.py'
2025-03-21T20:25:19.5061031Z   adding 'executorch/examples/models/llama/source_transformation/rms_norm.py'
2025-03-21T20:25:19.5062137Z   adding 'executorch/examples/models/llama/source_transformation/rope.py'
2025-03-21T20:25:19.5063271Z   adding 'executorch/examples/models/llama/source_transformation/sdpa.py'
2025-03-21T20:25:19.5064134Z   adding 'executorch/examples/models/llama/source_transformation/spin_quant.py'
2025-03-21T20:25:19.5065451Z   adding 'executorch/examples/models/llama/source_transformation/test_attention_sink.py'
2025-03-21T20:25:19.5066743Z   adding 'executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py'
2025-03-21T20:25:19.5068173Z   adding 'executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py'
2025-03-21T20:25:19.5069370Z   adding 'executorch/examples/models/llama/source_transformation/vulkan_rope.py'
2025-03-21T20:25:19.5400571Z   adding 'executorch/examples/models/llama/tests/test_pre_quantization_transforms.py'
2025-03-21T20:25:19.5401621Z   adding 'executorch/examples/models/llama/tests/test_simple_sdpa.py'
2025-03-21T20:25:19.5402309Z   adding 'executorch/examples/models/llama/tests/test_static_attention.py'
2025-03-21T20:25:19.5402897Z   adding 'executorch/examples/models/llama/tokenizer/tiktoken.py'
2025-03-21T20:25:19.5403417Z   adding 'executorch/examples/models/llama3_2_vision/__init__.py'
2025-03-21T20:25:19.5404152Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/__init__.py'
2025-03-21T20:25:19.5404901Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py'
2025-03-21T20:25:19.5405565Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/model.py'
2025-03-21T20:25:19.5406219Z   adding 'executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py'
2025-03-21T20:25:19.5406851Z   adding 'executorch/examples/models/llama3_2_vision/runner/eager.py'
2025-03-21T20:25:19.5407411Z   adding 'executorch/examples/models/llama3_2_vision/runner/exported.py'
2025-03-21T20:25:19.5408006Z   adding 'executorch/examples/models/llama3_2_vision/runner/generation.py'
2025-03-21T20:25:19.5408595Z   adding 'executorch/examples/models/llama3_2_vision/runner/native.py'
2025-03-21T20:25:19.5409185Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/model.py'
2025-03-21T20:25:19.5409832Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py'
2025-03-21T20:25:19.5410540Z   adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py'
2025-03-21T20:25:19.5411245Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py'
2025-03-21T20:25:19.5411881Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/model.py'
2025-03-21T20:25:19.5412567Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py'
2025-03-21T20:25:19.5413302Z   adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py'
2025-03-21T20:25:19.5413918Z   adding 'executorch/examples/models/llava/__init__.py'
2025-03-21T20:25:19.5414379Z   adding 'executorch/examples/models/llava/export_llava.py'
2025-03-21T20:25:19.5414853Z   adding 'executorch/examples/models/llava/image_util.py'
2025-03-21T20:25:19.5415282Z   adding 'executorch/examples/models/llava/model.py'
2025-03-21T20:25:19.5415744Z   adding 'executorch/examples/models/llava/test/test_llava.py'
2025-03-21T20:25:19.5416242Z   adding 'executorch/examples/models/llava/test/test_pte.py'
2025-03-21T20:25:19.5416703Z   adding 'executorch/examples/models/lstm/__init__.py'
2025-03-21T20:25:19.5417159Z   adding 'executorch/examples/models/lstm/model.py'
2025-03-21T20:25:19.5417845Z   adding 'executorch/examples/models/mobilebert/__init__.py'
2025-03-21T20:25:19.5418667Z   adding 'executorch/examples/models/mobilebert/model.py'
2025-03-21T20:25:19.5419505Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
2025-03-21T20:25:19.5420062Z   adding 'executorch/examples/models/mobilenet_v2/model.py'
2025-03-21T20:25:19.5420549Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2025-03-21T20:25:19.5421037Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2025-03-21T20:25:19.5421506Z   adding 'executorch/examples/models/moshi/mimi/test_mimi.py'
2025-03-21T20:25:19.5421994Z   adding 'executorch/examples/models/phi-3-mini/__init__.py'
2025-03-21T20:25:19.5422485Z   adding 'executorch/examples/models/phi-3-mini/eager.py'
2025-03-21T20:25:19.5423001Z   adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py'
2025-03-21T20:25:19.5423701Z   adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py'
2025-03-21T20:25:19.5424801Z   adding 'executorch/examples/models/phi-3-mini/static_cache.py'
2025-03-21T20:25:19.5425765Z   adding 'executorch/examples/models/phi-3-mini-lora/export_model.py'
2025-03-21T20:25:19.5426726Z   adding 'executorch/examples/models/phi-4-mini/__init__.py'
2025-03-21T20:25:19.5427651Z   adding 'executorch/examples/models/phi-4-mini/convert_weights.py'
2025-03-21T20:25:19.5428173Z   adding 'executorch/examples/models/qwen2_5/__init__.py'
2025-03-21T20:25:19.5428714Z   adding 'executorch/examples/models/qwen2_5/convert_weights.py'
2025-03-21T20:25:19.5429557Z   adding 'executorch/examples/models/resnet/__init__.py'
2025-03-21T20:25:19.5430350Z   adding 'executorch/examples/models/resnet/model.py'
2025-03-21T20:25:19.5431308Z   adding 'executorch/examples/models/test/__init__.py'
2025-03-21T20:25:19.5432113Z   adding 'executorch/examples/models/test/test_export.py'
2025-03-21T20:25:19.5433179Z   adding 'executorch/examples/models/torchvision_vit/__init__.py'
2025-03-21T20:25:19.5434138Z   adding 'executorch/examples/models/torchvision_vit/model.py'
2025-03-21T20:25:19.5434820Z   adding 'executorch/examples/models/toy_model/__init__.py'
2025-03-21T20:25:19.5435294Z   adding 'executorch/examples/models/toy_model/model.py'
2025-03-21T20:25:19.5436085Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2025-03-21T20:25:19.5436947Z   adding 'executorch/examples/models/wav2letter/model.py'
2025-03-21T20:25:19.5437520Z   adding 'executorch/exir/__init__.py'
2025-03-21T20:25:19.5437874Z   adding 'executorch/exir/_warnings.py'
2025-03-21T20:25:19.5438220Z   adding 'executorch/exir/common.py'
2025-03-21T20:25:19.5438563Z   adding 'executorch/exir/control_flow.py'
2025-03-21T20:25:19.5438916Z   adding 'executorch/exir/delegate.py'
2025-03-21T20:25:19.5439258Z   adding 'executorch/exir/delegate.pyi'
2025-03-21T20:25:19.5439614Z   adding 'executorch/exir/dim_order_utils.py'
2025-03-21T20:25:19.5439990Z   adding 'executorch/exir/dynamic_shape.py'
2025-03-21T20:25:19.5440341Z   adding 'executorch/exir/error.py'
2025-03-21T20:25:19.5440672Z   adding 'executorch/exir/graph.py'
2025-03-21T20:25:19.5441071Z   adding 'executorch/exir/graph_module.py'
2025-03-21T20:25:19.5441711Z   adding 'executorch/exir/lowered_backend_module.py'
2025-03-21T20:25:19.5442451Z   adding 'executorch/exir/memory.py'
2025-03-21T20:25:19.5443050Z   adding 'executorch/exir/memory_planning.py'
2025-03-21T20:25:19.5443468Z   adding 'executorch/exir/pass_base.py'
2025-03-21T20:25:19.5443826Z   adding 'executorch/exir/pass_manager.py'
2025-03-21T20:25:19.5444179Z   adding 'executorch/exir/print_program.py'
2025-03-21T20:25:19.5444759Z   adding 'executorch/exir/scalar_type.py'
2025-03-21T20:25:19.5445377Z   adding 'executorch/exir/schema.py'
2025-03-21T20:25:19.5445970Z   adding 'executorch/exir/sym_util.py'
2025-03-21T20:25:19.5446450Z   adding 'executorch/exir/tensor.py'
2025-03-21T20:25:19.5446776Z   adding 'executorch/exir/tracer.py'
2025-03-21T20:25:19.5447120Z   adding 'executorch/exir/types.py'
2025-03-21T20:25:19.5447456Z   adding 'executorch/exir/version.py'
2025-03-21T20:25:19.5447792Z   adding 'executorch/exir/wrap.py'
2025-03-21T20:25:19.5448146Z   adding 'executorch/exir/_serialize/__init__.py'
2025-03-21T20:25:19.5448531Z   adding 'executorch/exir/_serialize/_cord.py'
2025-03-21T20:25:19.5448925Z   adding 'executorch/exir/_serialize/_dataclass.py'
2025-03-21T20:25:19.5449344Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2025-03-21T20:25:19.5449787Z   adding 'executorch/exir/_serialize/_named_data_store.py'
2025-03-21T20:25:19.5450222Z   adding 'executorch/exir/_serialize/_program.py'
2025-03-21T20:25:19.5450679Z   adding 'executorch/exir/_serialize/_serialize.py'
2025-03-21T20:25:19.5451410Z   adding 'executorch/exir/_serialize/data_serializer.py'
2025-03-21T20:25:19.5452184Z   adding 'executorch/exir/_serialize/padding.py'
2025-03-21T20:25:19.5452789Z   adding 'executorch/exir/_serialize/program.fbs'
2025-03-21T20:25:19.5453214Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2025-03-21T20:25:19.5453632Z   adding 'executorch/exir/_serialize/test/__init__.py'
2025-03-21T20:25:19.5454073Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2025-03-21T20:25:19.5454545Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2025-03-21T20:25:19.5455065Z   adding 'executorch/exir/_serialize/test/test_named_data_store.py'
2025-03-21T20:25:19.5455577Z   adding 'executorch/exir/_serialize/test/test_program.py'
2025-03-21T20:25:19.5456286Z   adding 'executorch/exir/backend/backend_api.py'
2025-03-21T20:25:19.5457008Z   adding 'executorch/exir/backend/backend_details.py'
2025-03-21T20:25:19.5457748Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2025-03-21T20:25:19.5458211Z   adding 'executorch/exir/backend/operator_support.py'
2025-03-21T20:25:19.5458756Z   adding 'executorch/exir/backend/partitioner.py'
2025-03-21T20:25:19.5459155Z   adding 'executorch/exir/backend/utils.py'
2025-03-21T20:25:19.5459712Z   adding 'executorch/exir/backend/canonical_partitioners/config_partitioner.py'
2025-03-21T20:25:19.5460809Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2025-03-21T20:25:19.5462123Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2025-03-21T20:25:19.5462852Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2025-03-21T20:25:19.5463490Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2025-03-21T20:25:19.5464411Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2025-03-21T20:25:19.5465505Z   adding 'executorch/exir/backend/test/backend_with_named_data_map.py'
2025-03-21T20:25:19.5466266Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2025-03-21T20:25:19.5467201Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2025-03-21T20:25:19.5468064Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2025-03-21T20:25:19.5469075Z   adding 'executorch/exir/backend/test/test_backend_with_named_data_map.py'
2025-03-21T20:25:19.5469917Z   adding 'executorch/exir/backend/test/test_backends.py'
2025-03-21T20:25:19.5470407Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2025-03-21T20:25:19.5470915Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2025-03-21T20:25:19.5471552Z   adding 'executorch/exir/backend/test/test_compatibility.py'
2025-03-21T20:25:19.5472462Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2025-03-21T20:25:19.5473346Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2025-03-21T20:25:19.5473879Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2025-03-21T20:25:19.5474421Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2025-03-21T20:25:19.5474961Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2025-03-21T20:25:19.5475421Z   adding 'executorch/exir/backend/test/test_passes.py'
2025-03-21T20:25:19.5475854Z   adding 'executorch/exir/backend/test/test_utils.py'
2025-03-21T20:25:19.5476345Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2025-03-21T20:25:19.5476922Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2025-03-21T20:25:19.5477543Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2025-03-21T20:25:19.5478217Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2025-03-21T20:25:19.5478796Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2025-03-21T20:25:19.5479235Z   adding 'executorch/exir/capture/__init__.py'
2025-03-21T20:25:19.5479611Z   adding 'executorch/exir/capture/_capture.py'
2025-03-21T20:25:19.5479995Z   adding 'executorch/exir/capture/_config.py'
2025-03-21T20:25:19.5480371Z   adding 'executorch/exir/capture/_unlift.py'
2025-03-21T20:25:19.5480760Z   adding 'executorch/exir/dialects/__init__.py'
2025-03-21T20:25:19.5481137Z   adding 'executorch/exir/dialects/_ops.py'
2025-03-21T20:25:19.5481513Z   adding 'executorch/exir/dialects/backend/_ops.py'
2025-03-21T20:25:19.5481993Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2025-03-21T20:25:19.6405515Z   adding 'executorch/exir/dialects/edge/_ops.py'
2025-03-21T20:25:19.6406226Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2025-03-21T20:25:19.6406868Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2025-03-21T20:25:19.6407290Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2025-03-21T20:25:19.6407719Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2025-03-21T20:25:19.6408187Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2025-03-21T20:25:19.6408652Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2025-03-21T20:25:19.6409180Z   adding 'executorch/exir/dialects/edge/op/api.py'
2025-03-21T20:25:19.6409826Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2025-03-21T20:25:19.6410311Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2025-03-21T20:25:19.6410826Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2025-03-21T20:25:19.6411256Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2025-03-21T20:25:19.6411728Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2025-03-21T20:25:19.6412428Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2025-03-21T20:25:19.6412948Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2025-03-21T20:25:19.6413386Z   adding 'executorch/exir/emit/__init__.py'
2025-03-21T20:25:19.6413768Z   adding 'executorch/exir/emit/_emit_program.py'
2025-03-21T20:25:19.6414150Z   adding 'executorch/exir/emit/_emitter.py'
2025-03-21T20:25:19.6414526Z   adding 'executorch/exir/emit/test/test_emit.py'
2025-03-21T20:25:19.6415068Z   adding 'executorch/exir/operator/convert.py'
2025-03-21T20:25:19.6415448Z   adding 'executorch/exir/operator/manip.py'
2025-03-21T20:25:19.6415865Z   adding 'executorch/exir/operator/util.py'
2025-03-21T20:25:19.6416282Z   adding 'executorch/exir/operator/test/test_operator.py'
2025-03-21T20:25:19.6416835Z   adding 'executorch/exir/passes/__init__.py'
2025-03-21T20:25:19.6417369Z   adding 'executorch/exir/passes/_quant_patterns_and_replacements.py'
2025-03-21T20:25:19.6417929Z   adding 'executorch/exir/passes/const_prop_pass.py'
2025-03-21T20:25:19.6418369Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2025-03-21T20:25:19.6418913Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2025-03-21T20:25:19.6419428Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2025-03-21T20:25:19.6419969Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2025-03-21T20:25:19.6420481Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2025-03-21T20:25:19.6420991Z   adding 'executorch/exir/passes/external_constants_pass.py'
2025-03-21T20:25:19.6421445Z   adding 'executorch/exir/passes/init_mutable_pass.py'
2025-03-21T20:25:19.6422073Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2025-03-21T20:25:19.6422918Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2025-03-21T20:25:19.6423703Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2025-03-21T20:25:19.6424695Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2025-03-21T20:25:19.6425611Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2025-03-21T20:25:19.6426469Z   adding 'executorch/exir/passes/pass_registry.py'
2025-03-21T20:25:19.6427270Z   adding 'executorch/exir/passes/prune_empty_tensors_pass.py'
2025-03-21T20:25:19.6428127Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2025-03-21T20:25:19.6428884Z   adding 'executorch/exir/passes/quantize_io_pass.py'
2025-03-21T20:25:19.6429724Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2025-03-21T20:25:19.6430654Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2025-03-21T20:25:19.6431529Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2025-03-21T20:25:19.6432398Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2025-03-21T20:25:19.6433112Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2025-03-21T20:25:19.6433889Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2025-03-21T20:25:19.6434904Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2025-03-21T20:25:19.6435743Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2025-03-21T20:25:19.6436271Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2025-03-21T20:25:19.6436719Z   adding 'executorch/exir/passes/spec_prop_pass.py'
2025-03-21T20:25:19.6437275Z   adding 'executorch/exir/passes/sym_shape_eval_pass.py'
2025-03-21T20:25:19.6438064Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2025-03-21T20:25:19.6438875Z   adding 'executorch/exir/passes/weights_to_outputs_pass.py'
2025-03-21T20:25:19.6439619Z   adding 'executorch/exir/program/__init__.py'
2025-03-21T20:25:19.6440303Z   adding 'executorch/exir/program/_fake_program.py'
2025-03-21T20:25:19.6441157Z   adding 'executorch/exir/program/_program.py'
2025-03-21T20:25:19.6441738Z   adding 'executorch/exir/program/test/__init__.py'
2025-03-21T20:25:19.6442550Z   adding 'executorch/exir/program/test/test_fake_program.py'
2025-03-21T20:25:19.6443374Z   adding 'executorch/exir/program/test/test_program.py'
2025-03-21T20:25:19.6444062Z   adding 'executorch/exir/serde/__init__.py'
2025-03-21T20:25:19.6444464Z   adding 'executorch/exir/serde/export_serialize.py'
2025-03-21T20:25:19.6444953Z   adding 'executorch/exir/serde/schema.py'
2025-03-21T20:25:19.6445602Z   adding 'executorch/exir/serde/schema_check.py'
2025-03-21T20:25:19.6446287Z   adding 'executorch/exir/serde/serialize.py'
2025-03-21T20:25:19.6446893Z   adding 'executorch/exir/serde/union.py'
2025-03-21T20:25:19.6447262Z   adding 'executorch/exir/serde/upgrade.py'
2025-03-21T20:25:19.6447709Z   adding 'executorch/exir/tests/asr_joiner.py'
2025-03-21T20:25:19.6448351Z   adding 'executorch/exir/tests/common.py'
2025-03-21T20:25:19.6449062Z   adding 'executorch/exir/tests/control_flow_models.py'
2025-03-21T20:25:19.6449769Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2025-03-21T20:25:19.6450186Z   adding 'executorch/exir/tests/models.py'
2025-03-21T20:25:19.6450588Z   adding 'executorch/exir/tests/test_arg_validator.py'
2025-03-21T20:25:19.6451004Z   adding 'executorch/exir/tests/test_capture.py'
2025-03-21T20:25:19.6451385Z   adding 'executorch/exir/tests/test_common.py'
2025-03-21T20:25:19.6451909Z   adding 'executorch/exir/tests/test_delegate.py'
2025-03-21T20:25:19.6452651Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2025-03-21T20:25:19.6453541Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2025-03-21T20:25:19.6454081Z   adding 'executorch/exir/tests/test_error.py'
2025-03-21T20:25:19.6454474Z   adding 'executorch/exir/tests/test_joint_graph.py'
2025-03-21T20:25:19.6454946Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2025-03-21T20:25:19.6455601Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py'
2025-03-21T20:25:19.6456616Z   adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py'
2025-03-21T20:25:19.6457490Z   adding 'executorch/exir/tests/test_memory_planning.py'
2025-03-21T20:25:19.6458016Z   adding 'executorch/exir/tests/test_op_convert.py'
2025-03-21T20:25:19.6458722Z   adding 'executorch/exir/tests/test_pass_infra.py'
2025-03-21T20:25:19.6459442Z   adding 'executorch/exir/tests/test_passes.py'
2025-03-21T20:25:19.6460041Z   adding 'executorch/exir/tests/test_print_program.py'
2025-03-21T20:25:19.6460525Z   adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py'
2025-03-21T20:25:19.6461023Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2025-03-21T20:25:19.6461457Z   adding 'executorch/exir/tests/test_quantization.py'
2025-03-21T20:25:19.6461912Z   adding 'executorch/exir/tests/test_quantize_io_pass.py'
2025-03-21T20:25:19.6462575Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2025-03-21T20:25:19.6463336Z   adding 'executorch/exir/tests/test_serde.py'
2025-03-21T20:25:19.6464001Z   adding 'executorch/exir/tests/test_tensor.py'
2025-03-21T20:25:19.6464461Z   adding 'executorch/exir/tests/test_tracer.py'
2025-03-21T20:25:19.6464869Z   adding 'executorch/exir/tests/test_verification.py'
2025-03-21T20:25:19.6465379Z   adding 'executorch/exir/tests/test_warnings.py'
2025-03-21T20:25:19.6466063Z   adding 'executorch/exir/tests/transformer.py'
2025-03-21T20:25:19.6466821Z   adding 'executorch/exir/verification/arg_validator.py'
2025-03-21T20:25:19.6467447Z   adding 'executorch/exir/verification/dev_html.py'
2025-03-21T20:25:19.6467870Z   adding 'executorch/exir/verification/interpreter.py'
2025-03-21T20:25:19.6468299Z   adding 'executorch/exir/verification/verifier.py'
2025-03-21T20:25:19.6468751Z   adding 'executorch/exir/verification/test/test_verifier.py'
2025-03-21T20:25:19.6469353Z   adding 'executorch/extension/android_test/add_model.py'
2025-03-21T20:25:19.6469807Z   adding 'executorch/extension/export_util/__init__.py'
2025-03-21T20:25:19.6470584Z   adding 'executorch/extension/export_util/utils.py'
2025-03-21T20:25:19.6471352Z   adding 'executorch/extension/flat_tensor/__init__.py'
2025-03-21T20:25:19.6472143Z   adding 'executorch/extension/flat_tensor/serialize/__init__.py'
2025-03-21T20:25:19.6472919Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs'
2025-03-21T20:25:19.6474002Z   adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py'
2025-03-21T20:25:19.6474848Z   adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs'
2025-03-21T20:25:19.6475854Z   adding 'executorch/extension/flat_tensor/serialize/serialize.py'
2025-03-21T20:25:19.6476824Z   adding 'executorch/extension/flat_tensor/test/test_serialize.py'
2025-03-21T20:25:19.6477355Z   adding 'executorch/extension/gguf_util/convert_main.py'
2025-03-21T20:25:19.6477821Z   adding 'executorch/extension/gguf_util/converter.py'
2025-03-21T20:25:19.6478260Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2025-03-21T20:25:19.6478758Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2025-03-21T20:25:19.6479286Z   adding 'executorch/extension/llm/custom_ops/__init__.py'
2025-03-21T20:25:19.6479760Z   adding 'executorch/extension/llm/custom_ops/custom_ops.py'
2025-03-21T20:25:19.6480305Z   adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so'
2025-03-21T20:25:19.6481259Z   adding 'executorch/extension/llm/custom_ops/model_sharding.py'
2025-03-21T20:25:19.6482305Z   adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py'
2025-03-21T20:25:19.6482943Z   adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py'
2025-03-21T20:25:19.6483621Z   adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py'
2025-03-21T20:25:19.6484722Z   adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py'
2025-03-21T20:25:19.6485748Z   adding 'executorch/extension/llm/custom_ops/test_update_cache.py'
2025-03-21T20:25:19.6486386Z   adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py'
2025-03-21T20:25:19.6487080Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py'
2025-03-21T20:25:19.6487767Z   adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py'
2025-03-21T20:25:19.6488324Z   adding 'executorch/extension/llm/export/__init__.py'
2025-03-21T20:25:19.6488761Z   adding 'executorch/extension/llm/export/builder.py'
2025-03-21T20:25:19.6489219Z   adding 'executorch/extension/llm/export/export_passes.py'
2025-03-21T20:25:19.6489738Z   adding 'executorch/extension/llm/export/partitioner_lib.py'
2025-03-21T20:25:19.6490569Z   adding 'executorch/extension/llm/export/quantizer_lib.py'
2025-03-21T20:25:19.6491478Z   adding 'executorch/extension/llm/export/test_export_passes.py'
2025-03-21T20:25:19.6492111Z   adding 'executorch/extension/llm/modules/__init__.py'
2025-03-21T20:25:19.6492612Z   adding 'executorch/extension/llm/modules/_position_embeddings.py'
2025-03-21T20:25:19.6493129Z   adding 'executorch/extension/llm/modules/attention.py'
2025-03-21T20:25:19.6493569Z   adding 'executorch/extension/llm/modules/kv_cache.py'
2025-03-21T20:25:20.1922952Z   adding 'executorch/extension/llm/modules/test/__init__.py'
2025-03-21T20:25:20.1923996Z   adding 'executorch/extension/llm/modules/test/test_attention.py'
2025-03-21T20:25:20.1925012Z   adding 'executorch/extension/llm/modules/test/test_kv_cache.py'
2025-03-21T20:25:20.1925894Z   adding 'executorch/extension/llm/modules/test/test_position_embeddings.py'
2025-03-21T20:25:20.1926456Z   adding 'executorch/extension/llm/tokenizer/__init__.py'
2025-03-21T20:25:20.1927208Z   adding 'executorch/extension/llm/tokenizer/hf_tokenizer.py'
2025-03-21T20:25:20.1928056Z   adding 'executorch/extension/llm/tokenizer/tokenizer.py'
2025-03-21T20:25:20.1928844Z   adding 'executorch/extension/llm/tokenizer/utils.py'
2025-03-21T20:25:20.1930022Z   adding 'executorch/extension/llm/tokenizer/test/test_tokenizer.py'
2025-03-21T20:25:20.1931075Z   adding 'executorch/extension/llm/tokenizers/setup.py'
2025-03-21T20:25:20.1931701Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py'
2025-03-21T20:25:20.1932438Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py'
2025-03-21T20:25:20.1933505Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py'
2025-03-21T20:25:20.1934676Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py'
2025-03-21T20:25:20.1935524Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py'
2025-03-21T20:25:20.1936362Z   adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py'
2025-03-21T20:25:20.1937083Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py'
2025-03-21T20:25:20.1937798Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py'
2025-03-21T20:25:20.1938937Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py'
2025-03-21T20:25:20.1940359Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py'
2025-03-21T20:25:20.1941231Z   adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py'
2025-03-21T20:25:20.1942399Z   adding 'executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py'
2025-03-21T20:25:20.1943981Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py'
2025-03-21T20:25:20.1944879Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py'
2025-03-21T20:25:20.1946397Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py'
2025-03-21T20:25:20.1947869Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py'
2025-03-21T20:25:20.1948757Z   adding 'executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py'
2025-03-21T20:25:20.1949530Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py'
2025-03-21T20:25:20.1950229Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2.py'
2025-03-21T20:25:20.1950980Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py'
2025-03-21T20:25:20.1951672Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/setup.py'
2025-03-21T20:25:20.1952384Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py'
2025-03-21T20:25:20.1953286Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py'
2025-03-21T20:25:20.1954046Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py'
2025-03-21T20:25:20.1954743Z   adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py'
2025-03-21T20:25:20.1955433Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py'
2025-03-21T20:25:20.1956281Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py'
2025-03-21T20:25:20.1957233Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py'
2025-03-21T20:25:20.1958280Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py'
2025-03-21T20:25:20.1959454Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py'
2025-03-21T20:25:20.1960388Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py'
2025-03-21T20:25:20.1961430Z   adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py'
2025-03-21T20:25:20.1962420Z   adding 'executorch/extension/llm/tokenizers/tools/llama2c/convert.py'
2025-03-21T20:25:20.1963237Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so'
2025-03-21T20:25:20.1963940Z   adding 'executorch/extension/pybindings/portable_lib.py'
2025-03-21T20:25:20.1964533Z   adding 'executorch/extension/pybindings/pybindings.pyi'
2025-03-21T20:25:20.1965017Z   adding 'executorch/extension/pybindings/test/make_test.py'
2025-03-21T20:25:20.1965777Z   adding 'executorch/extension/pybindings/test/test_backend_pybinding.py'
2025-03-21T20:25:20.1966361Z   adding 'executorch/extension/pybindings/test/test_pybindings.py'
2025-03-21T20:25:20.1966840Z   adding 'executorch/extension/pytree/__init__.py'
2025-03-21T20:25:20.1967301Z   adding 'executorch/extension/pytree/test/test.py'
2025-03-21T20:25:20.1967800Z   adding 'executorch/extension/training/__init__.py'
2025-03-21T20:25:20.1968463Z   adding 'executorch/extension/training/examples/XOR/export_model.py'
2025-03-21T20:25:20.1969000Z   adding 'executorch/extension/training/examples/XOR/model.py'
2025-03-21T20:25:20.1969662Z   adding 'executorch/extension/training/examples/XOR/test/test_export.py'
2025-03-21T20:25:20.1970396Z   adding 'executorch/extension/training/pybindings/_training_lib.pyi'
2025-03-21T20:25:20.1970971Z   adding 'executorch/extension/training/pybindings/_training_module.py'
2025-03-21T20:25:20.1971525Z   adding 'executorch/extension/training/pybindings/test/test.py'
2025-03-21T20:25:20.1972198Z   adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h'
2025-03-21T20:25:20.1973083Z   adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h'
2025-03-21T20:25:20.1973789Z   adding 'executorch/include/executorch/extension/kernel_util/type_list.h'
2025-03-21T20:25:20.1974399Z   adding 'executorch/include/executorch/extension/tensor/tensor.h'
2025-03-21T20:25:20.1974986Z   adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h'
2025-03-21T20:25:20.1975591Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h'
2025-03-21T20:25:20.1976251Z   adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h'
2025-03-21T20:25:20.1977026Z   adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h'
2025-03-21T20:25:20.1977707Z   adding 'executorch/include/executorch/extension/threadpool/threadpool.h'
2025-03-21T20:25:20.1978363Z   adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h'
2025-03-21T20:25:20.1979056Z   adding 'executorch/include/executorch/runtime/core/array_ref.h'
2025-03-21T20:25:20.1979740Z   adding 'executorch/include/executorch/runtime/core/data_loader.h'
2025-03-21T20:25:20.1980279Z   adding 'executorch/include/executorch/runtime/core/defines.h'
2025-03-21T20:25:20.1980784Z   adding 'executorch/include/executorch/runtime/core/error.h'
2025-03-21T20:25:20.1981365Z   adding 'executorch/include/executorch/runtime/core/evalue.h'
2025-03-21T20:25:20.1982007Z   adding 'executorch/include/executorch/runtime/core/event_tracer.h'
2025-03-21T20:25:20.1982604Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h'
2025-03-21T20:25:20.1983265Z   adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h'
2025-03-21T20:25:20.1983995Z   adding 'executorch/include/executorch/runtime/core/freeable_buffer.h'
2025-03-21T20:25:20.1984749Z   adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h'
2025-03-21T20:25:20.1985376Z   adding 'executorch/include/executorch/runtime/core/memory_allocator.h'
2025-03-21T20:25:20.1985974Z   adding 'executorch/include/executorch/runtime/core/named_data_map.h'
2025-03-21T20:25:20.1986644Z   adding 'executorch/include/executorch/runtime/core/result.h'
2025-03-21T20:25:20.1987190Z   adding 'executorch/include/executorch/runtime/core/span.h'
2025-03-21T20:25:20.1987674Z   adding 'executorch/include/executorch/runtime/core/tag.h'
2025-03-21T20:25:20.1988391Z   adding 'executorch/include/executorch/runtime/core/tensor_layout.h'
2025-03-21T20:25:20.1989205Z   adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h'
2025-03-21T20:25:20.1989827Z   adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h'
2025-03-21T20:25:20.1990609Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h'
2025-03-21T20:25:20.1991515Z   adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h'
2025-03-21T20:25:20.1992241Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h'
2025-03-21T20:25:20.1992956Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h'
2025-03-21T20:25:20.1993811Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h'
2025-03-21T20:25:20.1994663Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h'
2025-03-21T20:25:20.1995405Z   adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h'
2025-03-21T20:25:20.1996083Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h'
2025-03-21T20:25:20.1996956Z   adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h'
2025-03-21T20:25:20.1997721Z   adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h'
2025-03-21T20:25:20.1998382Z   adding 'executorch/include/executorch/runtime/core/portable_type/complex.h'
2025-03-21T20:25:20.1999014Z   adding 'executorch/include/executorch/runtime/core/portable_type/device.h'
2025-03-21T20:25:20.1999818Z   adding 'executorch/include/executorch/runtime/core/portable_type/half.h'
2025-03-21T20:25:20.2000515Z   adding 'executorch/include/executorch/runtime/core/portable_type/optional.h'
2025-03-21T20:25:20.2001174Z   adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h'
2025-03-21T20:25:20.2001823Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h'
2025-03-21T20:25:20.2002573Z   adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h'
2025-03-21T20:25:23.1560949Z   adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h'
2025-03-21T20:25:23.1562108Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h'
2025-03-21T20:25:23.1562889Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h'
2025-03-21T20:25:23.1563629Z   adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h'
2025-03-21T20:25:23.1564435Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h'
2025-03-21T20:25:23.1565384Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h'
2025-03-21T20:25:23.1566177Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h'
2025-03-21T20:25:23.1567067Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h'
2025-03-21T20:25:23.1567994Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h'
2025-03-21T20:25:23.1568763Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h'
2025-03-21T20:25:23.1569606Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h'
2025-03-21T20:25:23.1570506Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h'
2025-03-21T20:25:23.1571314Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h'
2025-03-21T20:25:23.1572229Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h'
2025-03-21T20:25:23.1573144Z   adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h'
2025-03-21T20:25:23.1573830Z   adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h'
2025-03-21T20:25:23.1574774Z   adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h'
2025-03-21T20:25:23.1575668Z   adding 'executorch/include/executorch/runtime/kernel/operator_registry.h'
2025-03-21T20:25:23.1576357Z   adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h'
2025-03-21T20:25:23.1577073Z   adding 'executorch/include/executorch/runtime/kernel/test/test_util.h'
2025-03-21T20:25:23.1577736Z   adding 'executorch/include/executorch/runtime/platform/abort.h'
2025-03-21T20:25:23.1578276Z   adding 'executorch/include/executorch/runtime/platform/assert.h'
2025-03-21T20:25:23.1578834Z   adding 'executorch/include/executorch/runtime/platform/clock.h'
2025-03-21T20:25:23.1579474Z   adding 'executorch/include/executorch/runtime/platform/compat_unistd.h'
2025-03-21T20:25:23.1580176Z   adding 'executorch/include/executorch/runtime/platform/compiler.h'
2025-03-21T20:25:23.1580707Z   adding 'executorch/include/executorch/runtime/platform/log.h'
2025-03-21T20:25:23.1581255Z   adding 'executorch/include/executorch/runtime/platform/platform.h'
2025-03-21T20:25:23.1581908Z   adding 'executorch/include/executorch/runtime/platform/profiler.h'
2025-03-21T20:25:23.1582467Z   adding 'executorch/include/executorch/runtime/platform/runtime.h'
2025-03-21T20:25:23.1583126Z   adding 'executorch/include/executorch/runtime/platform/system.h'
2025-03-21T20:25:23.1583665Z   adding 'executorch/include/executorch/runtime/platform/types.h'
2025-03-21T20:25:23.1584333Z   adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h'
2025-03-21T20:25:23.1584870Z   adding 'executorch/kernels/quantized/__init__.py'
2025-03-21T20:25:23.1585461Z   adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so'
2025-03-21T20:25:23.1585961Z   adding 'executorch/kernels/quantized/quantized.yaml'
2025-03-21T20:25:23.1586483Z   adding 'executorch/kernels/quantized/test/supported_features_def.yaml'
2025-03-21T20:25:23.1587114Z   adding 'executorch/kernels/quantized/test/test_out_variants.py'
2025-03-21T20:25:23.1587698Z   adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py'
2025-03-21T20:25:23.1588316Z   adding 'executorch/runtime/__init__.py'
2025-03-21T20:25:23.1588724Z   adding 'executorch/runtime/kernel/test/functions.yaml'
2025-03-21T20:25:23.1589155Z   adding 'executorch/runtime/test/test_runtime.py'
2025-03-21T20:25:23.1589631Z   adding 'executorch/schema/program.fbs'
2025-03-21T20:25:23.1589983Z   adding 'executorch/schema/scalar_type.fbs'
2025-03-21T20:25:23.1590423Z   adding 'executorch/share/cmake/executorch-config.cmake'
2025-03-21T20:25:23.1590982Z   adding 'executorch/util/activation_memory_profiler.py'
2025-03-21T20:25:23.1591393Z   adding 'executorch/util/collect_env.py'
2025-03-21T20:25:23.1591763Z   adding 'executorch/util/python_profiler.py'
2025-03-21T20:25:23.1592253Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/LICENSE'
2025-03-21T20:25:23.1592707Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/METADATA'
2025-03-21T20:25:23.1593255Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/WHEEL'
2025-03-21T20:25:23.1593737Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/entry_points.txt'
2025-03-21T20:25:23.1594260Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/top_level.txt'
2025-03-21T20:25:23.1594790Z   adding 'executorch-0.6.0a0+be92d7d.dist-info/RECORD'
2025-03-21T20:25:23.1595213Z   removing pip-out/bdist.linux-x86_64/wheel
2025-03-21T20:25:23.1596102Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2025-03-21T20:25:23.1597117Z   Created wheel for executorch: filename=executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl size=8540631 sha256=1b163377caf3a4e23850a3a52db599eb3157cfef3759a3acbc35358811a0e1eb
2025-03-21T20:25:23.1598584Z   Stored in directory: /tmp/pip-ephem-wheel-cache-j3qifhig/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b
2025-03-21T20:25:23.1599304Z Successfully built executorch
2025-03-21T20:25:23.1599959Z Installing collected packages: flatbuffers, tabulate, pytest, execnet, pytest-xdist, pytest-rerunfailures, executorch
2025-03-21T20:25:23.1600833Z   changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755
2025-03-21T20:25:23.1601438Z   Attempting uninstall: pytest
2025-03-21T20:25:23.1601780Z     Found existing installation: pytest 7.2.0
2025-03-21T20:25:23.1602139Z     Uninstalling pytest-7.2.0:
2025-03-21T20:25:23.1602668Z       Removing file or directory /opt/conda/envs/py_3.10/bin/py.test
2025-03-21T20:25:23.1603224Z       Removing file or directory /opt/conda/envs/py_3.10/bin/pytest
2025-03-21T20:25:23.1604040Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc
2025-03-21T20:25:23.1604840Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/
2025-03-21T20:25:23.1605616Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py
2025-03-21T20:25:23.1606382Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/
2025-03-21T20:25:23.1607249Z       Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/
2025-03-21T20:25:23.1607779Z       Successfully uninstalled pytest-7.2.0
2025-03-21T20:25:23.1608288Z   changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755
2025-03-21T20:25:23.1608765Z   changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755
2025-03-21T20:25:23.1609332Z   changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755
2025-03-21T20:25:23.1610201Z 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
2025-03-21T20:25:23.1611076Z + pip list
2025-03-21T20:25:23.1611382Z Package                       Version            Editable project location
2025-03-21T20:25:23.1611869Z ----------------------------- ------------------ -----------------------------------
2025-03-21T20:25:23.1612283Z alabaster                     0.7.16
2025-03-21T20:25:23.1612599Z attrs                         25.3.0
2025-03-21T20:25:23.1612904Z babel                         2.17.0
2025-03-21T20:25:23.1613206Z beautifulsoup4                4.13.3
2025-03-21T20:25:23.1613519Z breathe                       4.34.0
2025-03-21T20:25:23.1613820Z bs4                           0.0.2
2025-03-21T20:25:23.1614125Z certifi                       2025.1.31
2025-03-21T20:25:23.1614449Z charset-normalizer            3.4.1
2025-03-21T20:25:23.1614749Z cmake                         3.31.6
2025-03-21T20:25:23.1615053Z contourpy                     1.3.1
2025-03-21T20:25:23.1615359Z coverage                      7.7.0
2025-03-21T20:25:23.1615661Z cycler                        0.12.1
2025-03-21T20:25:23.1615966Z docutils                      0.16
2025-03-21T20:25:23.1616262Z exceptiongroup                1.2.2
2025-03-21T20:25:23.1616573Z execnet                       2.1.1
2025-03-21T20:25:23.1616897Z executorch                    0.6.0a0+be92d7d
2025-03-21T20:25:23.1617240Z exhale                        0.2.3
2025-03-21T20:25:23.1617543Z expecttest                    0.1.6
2025-03-21T20:25:23.1617837Z filelock                      3.18.0
2025-03-21T20:25:23.1618153Z flatbuffers                   25.2.10
2025-03-21T20:25:23.1618468Z fonttools                     4.56.0
2025-03-21T20:25:23.1618779Z fsspec                        2025.3.0
2025-03-21T20:25:23.1619105Z huggingface-hub               0.29.3
2025-03-21T20:25:23.1619412Z hypothesis                    6.84.2
2025-03-21T20:25:23.1619723Z idna                          3.10
2025-03-21T20:25:23.1620027Z imagesize                     1.4.1
2025-03-21T20:25:23.1620332Z iniconfig                     2.1.0
2025-03-21T20:25:23.1620634Z Jinja2                        3.1.6
2025-03-21T20:25:23.1620927Z kiwisolver                    1.4.8
2025-03-21T20:25:23.1621230Z lxml                          5.3.1
2025-03-21T20:25:23.1621539Z markdown-it-py                2.2.0
2025-03-21T20:25:23.1621853Z MarkupSafe                    3.0.2
2025-03-21T20:25:23.1622276Z matplotlib                    3.10.1
2025-03-21T20:25:23.1622586Z mdit-py-plugins               0.3.5
2025-03-21T20:25:23.1622898Z mdurl                         0.1.2
2025-03-21T20:25:23.1623294Z mpmath                        1.3.0
2025-03-21T20:25:23.1623612Z myst-parser                   0.18.1
2025-03-21T20:25:23.1623932Z networkx                      3.4.2
2025-03-21T20:25:23.1624223Z numpy                         2.2.4
2025-03-21T20:25:23.1624786Z nvidia-cublas-cu12            12.1.3.1
2025-03-21T20:25:23.1625135Z nvidia-cuda-cupti-cu12        12.1.105
2025-03-21T20:25:23.1625486Z nvidia-cuda-nvrtc-cu12        12.1.105
2025-03-21T20:25:23.1625836Z nvidia-cuda-runtime-cu12      12.1.105
2025-03-21T20:25:23.1626163Z nvidia-cudnn-cu12             9.1.0.70
2025-03-21T20:25:23.1626491Z nvidia-cufft-cu12             11.0.2.54
2025-03-21T20:25:23.1626823Z nvidia-curand-cu12            10.3.2.106
2025-03-21T20:25:23.1627193Z nvidia-cusolver-cu12          11.4.5.107
2025-03-21T20:25:23.1627552Z nvidia-cusparse-cu12          12.1.0.106
2025-03-21T20:25:23.1627882Z nvidia-nccl-cu12              2.20.5
2025-03-21T20:25:23.1628218Z nvidia-nvjitlink-cu12         12.8.93
2025-03-21T20:25:23.1628562Z nvidia-nvtx-cu12              12.1.105
2025-03-21T20:25:23.1628895Z packaging                     24.2
2025-03-21T20:25:23.1629209Z pandas                        2.2.3
2025-03-21T20:25:23.1629516Z parameterized                 0.9.0
2025-03-21T20:25:23.1629835Z pillow                        11.1.0
2025-03-21T20:25:23.1630148Z pip                           25.0
2025-03-21T20:25:23.1630458Z pluggy                        1.5.0
2025-03-21T20:25:23.1630769Z Pygments                      2.19.1
2025-03-21T20:25:23.1631070Z pyparsing                     3.2.1
2025-03-21T20:25:23.1631385Z pytest                        8.3.5
2025-03-21T20:25:23.1631698Z pytest-cov                    4.1.0
2025-03-21T20:25:23.1632021Z pytest-rerunfailures          15.0
2025-03-21T20:25:23.1632345Z pytest-xdist                  3.6.1
2025-03-21T20:25:23.1632665Z python-dateutil               2.9.0.post0
2025-03-21T20:25:23.1633130Z pytorch_sphinx_theme          0.0.24             /opt/conda/src/pytorch-sphinx-theme
2025-03-21T20:25:28.2204478Z pytz                          2025.1
2025-03-21T20:25:28.2205130Z PyYAML                        6.0.1
2025-03-21T20:25:28.2205596Z regex                         2024.11.6
2025-03-21T20:25:28.2205960Z requests                      2.32.3
2025-03-21T20:25:28.2206273Z ruamel.yaml                   0.17.32
2025-03-21T20:25:28.2206594Z ruamel.yaml.clib              0.2.12
2025-03-21T20:25:28.2206913Z safetensors                   0.5.3
2025-03-21T20:25:28.2207215Z setuptools                    75.8.0
2025-03-21T20:25:28.2207523Z six                           1.17.0
2025-03-21T20:25:28.2207831Z snowballstemmer               2.2.0
2025-03-21T20:25:28.2208153Z sortedcontainers              2.4.0
2025-03-21T20:25:28.2208467Z soupsieve                     2.6
2025-03-21T20:25:28.2208765Z Sphinx                        5.3.0
2025-03-21T20:25:28.2209105Z sphinx-copybutton             0.5.0
2025-03-21T20:25:28.2209430Z sphinx_design                 0.4.1
2025-03-21T20:25:28.2209753Z sphinx-gallery                0.14.0
2025-03-21T20:25:28.2210222Z sphinxcontrib-applehelp       2.0.0
2025-03-21T20:25:28.2210575Z sphinxcontrib-devhelp         2.0.0
2025-03-21T20:25:28.2210922Z sphinxcontrib-htmlhelp        2.1.0
2025-03-21T20:25:28.2211296Z sphinxcontrib-jsmath          1.0.1
2025-03-21T20:25:28.2211625Z sphinxcontrib-qthelp          2.0.0
2025-03-21T20:25:28.2211956Z sphinxcontrib-serializinghtml 2.0.0
2025-03-21T20:25:28.2212286Z sympy                         1.13.3
2025-03-21T20:25:28.2212593Z tabulate                      0.9.0
2025-03-21T20:25:28.2212892Z timm                          1.0.7
2025-03-21T20:25:28.2213198Z tokenizers                    0.21.1
2025-03-21T20:25:28.2213495Z tomli                         2.0.1
2025-03-21T20:25:28.2213825Z torch                         2.7.0a0+git295f2ed
2025-03-21T20:25:28.2214415Z torchao                       0.10.0+git64bcf4c
2025-03-21T20:25:28.2214784Z torchaudio                    2.6.0a0+c670ad8
2025-03-21T20:25:28.2215223Z torchsr                       1.0.4
2025-03-21T20:25:28.2215559Z torchvision                   0.19.0a0+d23a6e1
2025-03-21T20:25:28.2215888Z tqdm                          4.67.1
2025-03-21T20:25:28.2216199Z transformers                  4.47.1
2025-03-21T20:25:28.2216513Z triton                        3.0.0
2025-03-21T20:25:28.2216823Z typing_extensions             4.12.2
2025-03-21T20:25:28.2217128Z tzdata                        2025.1
2025-03-21T20:25:28.2217429Z urllib3                       2.3.0
2025-03-21T20:25:28.2217728Z wheel                         0.45.1
2025-03-21T20:25:28.2218031Z zstd                          1.5.5.1
2025-03-21T20:25:28.2218356Z + build_executorch_runner cmake Release
2025-03-21T20:25:28.2218674Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:25:28.2218955Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:25:28.2219254Z + build_executorch_runner_cmake Release
2025-03-21T20:25:28.2219597Z + CMAKE_OUTPUT_DIR=cmake-out
2025-03-21T20:25:28.2219904Z + clean_executorch_install_folders
2025-03-21T20:25:28.2220229Z + ./install_executorch.sh --clean
2025-03-21T20:25:28.2220547Z Cleaning build artifacts...
2025-03-21T20:25:28.2220841Z Cleaning pip-out/...
2025-03-21T20:25:28.2221113Z Cleaning cmake-out/...
2025-03-21T20:25:28.2221392Z Done cleaning build artifacts.
2025-03-21T20:25:28.2221670Z + mkdir cmake-out
2025-03-21T20:25:28.2221921Z + pushd cmake-out
2025-03-21T20:25:28.2222224Z /pytorch/executorch/cmake-out /pytorch/executorch
2025-03-21T20:25:28.2222598Z + [[ Release == \D\e\b\u\g ]]
2025-03-21T20:25:28.2222880Z + CXXFLAGS=
2025-03-21T20:25:28.2223096Z + CXXFLAGS=
2025-03-21T20:25:28.2223454Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:25:28.2223996Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release ..
2025-03-21T20:25:28.2231793Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:25:28.2232260Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:25:28.2232649Z -- Detecting C compiler ABI info
2025-03-21T20:25:28.2232984Z -- Detecting C compiler ABI info - done
2025-03-21T20:25:28.2233411Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:25:28.2233825Z -- Detecting C compile features
2025-03-21T20:25:28.2234154Z -- Detecting C compile features - done
2025-03-21T20:25:28.2234499Z -- Detecting CXX compiler ABI info
2025-03-21T20:25:28.2234826Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:25:28.2235250Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:25:28.2235671Z -- Detecting CXX compile features
2025-03-21T20:25:28.2236006Z -- Detecting CXX compile features - done
2025-03-21T20:25:28.2236893Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:25:28.2237631Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:28.2238082Z   CMake.
2025-03-21T20:25:28.2238222Z 
2025-03-21T20:25:28.2238456Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:28.2239043Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:28.2239555Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:28.2239820Z 
2025-03-21T20:25:28.2239949Z 
2025-03-21T20:25:28.2240571Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:25:28.2241327Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:28.2241769Z   CMake.
2025-03-21T20:25:28.2241890Z 
2025-03-21T20:25:28.2242137Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:28.2242791Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:28.2243298Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:28.2243731Z 
2025-03-21T20:25:28.2243848Z 
2025-03-21T20:25:28.2244106Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:25:28.2244603Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:25:28.2244986Z -- Found Threads: TRUE
2025-03-21T20:25:28.2245691Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:25:28.2246452Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:28.2246892Z   CMake.
2025-03-21T20:25:28.2247035Z 
2025-03-21T20:25:28.2247264Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:28.2247844Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:28.2248351Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:28.2248613Z 
2025-03-21T20:25:28.2248734Z 
2025-03-21T20:25:28.2248967Z -- Using python executable 'python'
2025-03-21T20:25:28.2249303Z -- Resolved buck2 as buck2.
2025-03-21T20:25:28.2249595Z -- Killing buck2 daemon
2025-03-21T20:25:28.2249865Z 'buck2 killall'
2025-03-21T20:25:28.2250144Z -- executorch: Generating source lists
2025-03-21T20:25:28.2250676Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:25:28.2251387Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:25:28.2251910Z -- executorch: Using PAL default 'posix'
2025-03-21T20:25:28.2252258Z -- Generating operator lib:
2025-03-21T20:25:28.2252562Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:25:28.2252974Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:25:28.2253419Z --   ROOT_OPS: 
2025-03-21T20:25:28.2253675Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:25:28.2254937Z 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"
2025-03-21T20:25:28.2256084Z -- Generating kernel bindings:
2025-03-21T20:25:28.2256399Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:25:28.2256810Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:25:28.2257262Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:25:28.2257550Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:25:28.2259264Z 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
2025-03-21T20:25:28.2260754Z -- Generating operator lib:
2025-03-21T20:25:28.2261056Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:25:28.2261361Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:25:28.2261674Z --   DEPS: executorch
2025-03-21T20:25:28.2262265Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:25:28.2262947Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:25:28.2263394Z   CMake.
2025-03-21T20:25:28.2263520Z 
2025-03-21T20:25:28.2263752Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:25:28.2264328Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:25:28.2264840Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:25:28.2265118Z 
2025-03-21T20:25:28.2265229Z 
2025-03-21T20:25:28.2265470Z -- Looking for C++ include unistd.h
2025-03-21T20:25:28.2265804Z -- Looking for C++ include unistd.h - found
2025-03-21T20:25:28.2266154Z -- Looking for C++ include stdint.h
2025-03-21T20:25:28.2266490Z -- Looking for C++ include stdint.h - found
2025-03-21T20:25:28.2266840Z -- Looking for C++ include inttypes.h
2025-03-21T20:25:28.2267192Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:25:28.2267621Z -- Looking for C++ include sys/types.h
2025-03-21T20:25:28.2267979Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:25:28.2268398Z -- Looking for C++ include sys/stat.h
2025-03-21T20:25:28.2268751Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:25:28.2269107Z -- Looking for C++ include fnmatch.h
2025-03-21T20:25:28.2269453Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:25:28.2269795Z -- Looking for C++ include stddef.h
2025-03-21T20:25:28.2270135Z -- Looking for C++ include stddef.h - found
2025-03-21T20:25:28.2270476Z -- Check size of uint32_t
2025-03-21T20:25:28.2270772Z -- Check size of uint32_t - done
2025-03-21T20:25:28.2271065Z -- Looking for strtoll
2025-03-21T20:25:28.2271347Z -- Looking for strtoll - found
2025-03-21T20:25:28.2271634Z -- 
2025-03-21T20:25:28.2271866Z -- ******** Summary ********
2025-03-21T20:25:28.2272175Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:25:28.2272508Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:25:28.2272852Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:25:28.2273195Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:25:28.2273525Z --   BUCK2                         : buck2
2025-03-21T20:25:28.2273866Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:25:28.2274367Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:25:28.2274902Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:25:28.2275299Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:25:28.2275693Z --   EXECUTORCH_LOG_LEVEL                   : Info
2025-03-21T20:25:28.2276075Z --   EXECUTORCH_BUILD_ANDROID_JNI           : OFF
2025-03-21T20:25:28.2276459Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
2025-03-21T20:25:28.2276829Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:25:28.2277206Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:25:28.2277591Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:25:28.2277968Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:25:28.2278355Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:25:28.2278729Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF
2025-03-21T20:25:28.2279127Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF
2025-03-21T20:25:28.2279503Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:25:28.2279874Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : OFF
2025-03-21T20:25:28.2280263Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:25:28.2280639Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : OFF
2025-03-21T20:25:28.2281028Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:25:28.2281408Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:25:28.2281780Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:25:28.2282155Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:25:28.2282598Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:25:28.2282992Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:25:28.2283382Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : OFF
2025-03-21T20:25:28.2283771Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : OFF
2025-03-21T20:25:28.2284154Z --   EXECUTORCH_BUILD_MPS                   : OFF
2025-03-21T20:25:28.2284524Z --   EXECUTORCH_BUILD_NEURON                : OFF
2025-03-21T20:25:28.2284888Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:25:29.4948459Z --   EXECUTORCH_BUILD_PYBIND                : OFF
2025-03-21T20:25:29.4949212Z --   EXECUTORCH_BUILD_QNN                   : OFF
2025-03-21T20:25:29.4949880Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2025-03-21T20:25:29.4950530Z --   EXECUTORCH_BUILD_TESTS                 : OFF
2025-03-21T20:25:29.4951149Z --   EXECUTORCH_BUILD_VULKAN                : OFF
2025-03-21T20:25:29.4951789Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:25:29.4952417Z -- Configuring done (4.7s)
2025-03-21T20:25:29.4953377Z -- Generating done (0.1s)
2025-03-21T20:25:29.4954024Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:25:29.4954908Z + popd
2025-03-21T20:25:29.4955285Z /pytorch/executorch
2025-03-21T20:25:29.4955654Z ++ uname
2025-03-21T20:25:29.4956046Z + '[' Linux == Darwin ']'
2025-03-21T20:25:29.4956473Z ++ nproc
2025-03-21T20:25:29.4956815Z + CMAKE_JOBS=7
2025-03-21T20:25:29.4957244Z + cmake --build cmake-out -j 7
2025-03-21T20:25:29.4958121Z [  0%] Creating directories for 'flatbuffers'
2025-03-21T20:25:29.4959302Z [  0%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/api.c.o
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2025-03-21T20:25:29.4968208Z [  1%] No download step for 'flatbuffers'
2025-03-21T20:25:29.4968961Z [  2%] No update step for 'flatbuffers'
2025-03-21T20:25:29.4969750Z [  2%] No patch step for 'flatbuffers'
2025-03-21T20:25:29.4970612Z [  2%] Performing configure step for 'flatbuffers'
2025-03-21T20:25:29.4971342Z CMake Warning:
2025-03-21T20:25:29.4971885Z   Ignoring empty string ("") provided on the command line.
2025-03-21T20:25:29.4972401Z 
2025-03-21T20:25:29.4972590Z 
2025-03-21T20:25:29.4973042Z fatal: No names found, cannot describe anything.
2025-03-21T20:25:29.4974081Z CMake Warning at CMake/Version.cmake:32 (message):
2025-03-21T20:25:29.4974749Z   git describe failed with exit code: 128
2025-03-21T20:25:29.4975139Z 
2025-03-21T20:25:29.4975439Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:25:29.4976116Z Call Stack (most recent call first):
2025-03-21T20:25:29.4976650Z   CMakeLists.txt:5 (include)
2025-03-21T20:25:29.4976967Z 
2025-03-21T20:25:29.4977209Z 
2025-03-21T20:25:29.4977608Z -- Proceeding with version: 24.3.25.0
2025-03-21T20:25:29.4979013Z [  3%] Building C object backends/xnnpack/third-party/pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o
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2025-03-21T20:25:29.4996887Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:25:29.4997696Z -- Detecting CXX compiler ABI info
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2025-03-21T20:26:03.1862207Z [?25h  Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16928 sha256=a7af993718203d81af649daf55cb3b1cea9e203506b9133cb1142d22d05c322c
2025-03-21T20:26:03.1863445Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd
2025-03-21T20:26:03.1864533Z   Building wheel for word2number (setup.py) ... [?25l- done
2025-03-21T20:26:03.1865702Z [?25h  Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5625 sha256=112e1dd7f47f98274056d988c2e090d72cbcd5e9916ac053e760585851b6ff6f
2025-03-21T20:26:03.1866888Z   Stored in directory: /var/lib/ci-user/.cache/pip/wheels/84/ff/26/d3cfbd971e96c5aa3737ecfced81628830d7359b55fbb8ca3b
2025-03-21T20:26:03.1867616Z Successfully built rouge-score sqlitedict word2number
2025-03-21T20:26:03.1870302Z 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
2025-03-21T20:26:03.1872933Z   Attempting uninstall: fsspec
2025-03-21T20:26:03.1873273Z     Found existing installation: fsspec 2025.3.0
2025-03-21T20:26:03.1873649Z     Uninstalling fsspec-2025.3.0:
2025-03-21T20:26:03.1873996Z       Successfully uninstalled fsspec-2025.3.0
2025-03-21T20:26:03.1877300Z 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
2025-03-21T20:26:03.1880796Z Failed to import examples.models due to lm_eval conflict. Removing lm_eval examples module
2025-03-21T20:26:03.1881325Z + PYTHON_EXECUTABLE=python
2025-03-21T20:26:03.1881892Z + bash .ci/scripts/test_llama.sh -model stories110M -build_tool cmake -mode qnn -dtype fp32 -pt2e_quantize qnn_8a8w
2025-03-21T20:26:03.1882576Z ++ dirname .ci/scripts/test_llama.sh
2025-03-21T20:26:03.1882907Z + source .ci/scripts/utils.sh
2025-03-21T20:26:03.1883200Z + [[ 10 -gt 0 ]]
2025-03-21T20:26:03.1883444Z + case "$1" in
2025-03-21T20:26:03.1883682Z + MODEL_NAME=stories110M
2025-03-21T20:26:03.1883952Z + shift 2
2025-03-21T20:26:03.1884182Z + [[ 8 -gt 0 ]]
2025-03-21T20:26:03.1884418Z + case "$1" in
2025-03-21T20:26:03.1884672Z + BUILD_TOOL=cmake
2025-03-21T20:26:03.1884919Z + shift 2
2025-03-21T20:26:03.1885139Z + [[ 6 -gt 0 ]]
2025-03-21T20:26:03.1885380Z + case "$1" in
2025-03-21T20:26:03.1885620Z + MODE=qnn
2025-03-21T20:26:03.1885845Z + shift 2
2025-03-21T20:26:03.1886074Z + [[ 4 -gt 0 ]]
2025-03-21T20:26:03.1886304Z + case "$1" in
2025-03-21T20:26:03.1886546Z + DTYPE=fp32
2025-03-21T20:26:03.1886782Z + shift 2
2025-03-21T20:26:03.1887010Z + [[ 2 -gt 0 ]]
2025-03-21T20:26:03.1887238Z + case "$1" in
2025-03-21T20:26:03.1887490Z + PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:26:03.1887762Z + shift 2
2025-03-21T20:26:03.1887988Z + [[ 0 -gt 0 ]]
2025-03-21T20:26:03.1888223Z + MODE=qnn
2025-03-21T20:26:03.1888442Z + UPLOAD_DIR=
2025-03-21T20:26:03.1888689Z + PT2E_QUANTIZE=qnn_8a8w
2025-03-21T20:26:03.1888976Z + CMAKE_BUILD_TYPE=Release
2025-03-21T20:26:03.1889254Z + [[ 0 -lt 4 ]]
2025-03-21T20:26:03.1889549Z + echo 'Expecting atleast 4 positional arguments'
2025-03-21T20:26:03.1890020Z Expecting atleast 4 positional arguments
2025-03-21T20:26:03.1890357Z + echo 'Usage: [...]'
2025-03-21T20:26:03.1890619Z Usage: [...]
2025-03-21T20:26:03.1890915Z + [[ -z stories110M ]]
2025-03-21T20:26:03.1891178Z + [[ -z cmake ]]
2025-03-21T20:26:03.1891404Z + [[ -z fp32 ]]
2025-03-21T20:26:03.1891640Z + [[ -z qnn ]]
2025-03-21T20:26:03.1891885Z + [[ qnn =~ .*xnnpack.* ]]
2025-03-21T20:26:03.1892156Z + XNNPACK=OFF
2025-03-21T20:26:03.1892386Z + [[ qnn =~ .*custom.* ]]
2025-03-21T20:26:03.1892727Z + CUSTOM=OFF
2025-03-21T20:26:03.1892968Z + [[ qnn =~ .*qe.* ]]
2025-03-21T20:26:03.1893220Z + QE=OFF
2025-03-21T20:26:03.1893448Z + [[ qnn =~ .*mps.* ]]
2025-03-21T20:26:03.1893692Z + MPS=OFF
2025-03-21T20:26:03.1893928Z + echo 'MPS option OFF'
2025-03-21T20:26:03.1894194Z MPS option OFF
2025-03-21T20:26:03.1894443Z + [[ qnn =~ .*coreml.* ]]
2025-03-21T20:26:03.1894706Z + COREML=OFF
2025-03-21T20:26:03.1894939Z + [[ qnn =~ .*quantize_kv.* ]]
2025-03-21T20:26:03.1895228Z + QUANTIZE_KV_CACHE=OFF
2025-03-21T20:26:03.1895511Z + echo 'COREML option OFF'
2025-03-21T20:26:03.1895789Z COREML option OFF
2025-03-21T20:26:03.1896027Z + [[ qnn =~ .*qnn.* ]]
2025-03-21T20:26:03.1896282Z + QNN=ON
2025-03-21T20:26:03.1896532Z +++ dirname -- .ci/scripts/test_llama.sh
2025-03-21T20:26:03.1896866Z ++ cd -- .ci/scripts/..
2025-03-21T20:26:03.1897127Z ++ pwd
2025-03-21T20:26:03.1897390Z + export EXECUTORCH_ROOT=/pytorch/executorch/.ci
2025-03-21T20:26:03.1897777Z + EXECUTORCH_ROOT=/pytorch/executorch/.ci
2025-03-21T20:26:03.1898138Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:26:03.1898485Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029
2025-03-21T20:26:03.1898903Z + export LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang
2025-03-21T20:26:03.1899394Z + LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang
2025-03-21T20:26:03.1899797Z + export PYTHONPATH=..
2025-03-21T20:26:03.1900067Z + PYTHONPATH=..
2025-03-21T20:26:03.1900371Z + cp schema/program.fbs exir/_serialize/program.fbs
2025-03-21T20:26:03.1900820Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs
2025-03-21T20:26:03.1901541Z + cp -f build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
2025-03-21T20:26:03.1902517Z + cp -f build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python
2025-03-21T20:26:03.1903161Z + echo 'QNN option ON'
2025-03-21T20:26:03.1903424Z QNN option ON
2025-03-21T20:26:03.1903692Z + echo 'QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029'
2025-03-21T20:26:03.1904039Z QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029
2025-03-21T20:26:03.1904329Z + [[ -z '' ]]
2025-03-21T20:26:03.1904561Z + BUCK=buck2
2025-03-21T20:26:03.1904794Z + [[ -z python ]]
2025-03-21T20:26:03.1905039Z + which python
2025-03-21T20:26:03.1905284Z /opt/conda/envs/py_3.10/bin/python
2025-03-21T20:26:03.1905599Z + PARAMS=params.json
2025-03-21T20:26:03.1905868Z + CHECKPOINT_FILE_NAME=
2025-03-21T20:26:03.1906142Z + touch params.json
2025-03-21T20:26:03.1906412Z + [[ stories110M == \l\l\a\m\a ]]
2025-03-21T20:26:03.1906716Z + [[ stories110M == \s\t\o\r\i\e\s* ]]
2025-03-21T20:26:03.1907053Z + CHECKPOINT_FILE_NAME=stories110M.pt
2025-03-21T20:26:03.1907400Z + download_stories_model_artifacts
2025-03-21T20:26:03.1908009Z + curl -Ls https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.pt --output stories110M.pt
2025-03-21T20:26:03.1908918Z + curl -Ls https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model --output tokenizer.model
2025-03-21T20:26:03.1909537Z + touch params.json
2025-03-21T20:26:24.2737744Z + echo '{"dim": 768, "multiple_of": 32, "n_heads": 12, "n_layers": 12, "norm_eps": 1e-05, "vocab_size": 32000}'
2025-03-21T20:26:24.2738596Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32
2025-03-21T20:26:24.2739138Z + [[ fp32 == \f\p\1\6 ]]
2025-03-21T20:26:24.2739557Z + [[ fp32 == \b\f\1\6 ]]
2025-03-21T20:26:24.2739960Z + [[ fp32 == \f\p\3\2 ]]
2025-03-21T20:26:24.2740364Z + :
2025-03-21T20:26:24.2740747Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32.pte
2025-03-21T20:26:24.2741780Z + echo 'Exporting tinyllama_qnn_fp32.pte'
2025-03-21T20:26:24.2742328Z Exporting tinyllama_qnn_fp32.pte
2025-03-21T20:26:24.2743297Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv'
2025-03-21T20:26:24.2744091Z + [[ OFF == \O\N ]]
2025-03-21T20:26:24.2744475Z + [[ OFF == \O\N ]]
2025-03-21T20:26:24.2744852Z + [[ OFF == \O\N ]]
2025-03-21T20:26:24.2745236Z + [[ OFF == \O\N ]]
2025-03-21T20:26:24.2745620Z + [[ OFF == \O\N ]]
2025-03-21T20:26:24.2746006Z + [[ ON == \O\N ]]
2025-03-21T20:26:24.2746955Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv -kv -v --qnn --disable_dynamic_shape'
2025-03-21T20:26:24.2747990Z + echo 'PT2E_QUANTIZE is qnn_8a8w'
2025-03-21T20:26:24.2748602Z PT2E_QUANTIZE is qnn_8a8w
2025-03-21T20:26:24.2749082Z + [[ qnn_8a8w == \q\n\n\_\1\6\a\1\6\w ]]
2025-03-21T20:26:24.2749572Z + [[ OFF == \O\N ]]
2025-03-21T20:26:24.2750698Z + 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
2025-03-21T20:26:24.2752126Z [INFO 2025-03-21 20:26:07,913 utils.py:162] NumExpr defaulting to 8 threads.
2025-03-21T20:26:24.2753034Z [INFO 2025-03-21 20:26:08,384 export_llama_lib.py:627] Applying quantizers: []
2025-03-21T20:26:24.2754480Z [INFO 2025-03-21 20:26:08,384 export_llama_lib.py:992] Loading model with checkpoint=stories110M.pt, params=params.json, use_kv_cache=True, weight_type=WeightType.LLAMA
2025-03-21T20:26:24.2757587Z [INFO 2025-03-21 20:26:09,040 builder.py:161] Applied source transforms: [<function replace_kv_cache_with_simple_kv_cache at 0x7fc26c03d360>, <function replace_sdpa_with_flex_sdpa at 0x7fc26c737010>, <function replace_causal_mask at 0x7fc26c03d510>, <function replace_rms_norm_with_native_rms_norm at 0x7fc26c7356c0>, <function convert_linear_to_conv2d at 0x7fc25074b5b0>]
2025-03-21T20:26:24.2760399Z [INFO 2025-03-21 20:26:09,042 builder.py:162] Model after source transforms: Transformer(
2025-03-21T20:26:24.2761214Z   (tok_embeddings): Embedding(32000, 768)
2025-03-21T20:26:24.2761727Z   (rope): Rope(
2025-03-21T20:26:24.2762172Z     (apply_rotary_emb): RotaryEmbedding()
2025-03-21T20:26:24.2762714Z   )
2025-03-21T20:26:24.2763064Z   (layers): ModuleList(
2025-03-21T20:26:24.2763504Z     (0-11): 12 x TransformerBlock(
2025-03-21T20:26:24.2764024Z       (attention): AttentionMHA(
2025-03-21T20:26:24.2764720Z         (wq): Conv2D(
2025-03-21T20:26:24.2765283Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2765976Z         )
2025-03-21T20:26:24.2766327Z         (wk): Conv2D(
2025-03-21T20:26:24.2766886Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2767564Z         )
2025-03-21T20:26:24.2767903Z         (wv): Conv2D(
2025-03-21T20:26:24.2768507Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2769201Z         )
2025-03-21T20:26:24.2769541Z         (wo): Conv2D(
2025-03-21T20:26:24.2770114Z           (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2770861Z         )
2025-03-21T20:26:24.2771232Z         (rope): Rope(
2025-03-21T20:26:24.2771757Z           (apply_rotary_emb): RotaryEmbedding()
2025-03-21T20:26:24.2772340Z         )
2025-03-21T20:26:24.2772866Z         (kv_cache): KVCacheSimple()
2025-03-21T20:26:24.2773357Z         (SDPA): SDPAFlex()
2025-03-21T20:26:24.2773784Z       )
2025-03-21T20:26:24.2774116Z       (feed_forward): FeedForward(
2025-03-21T20:26:24.2774582Z         (w1): Conv2D(
2025-03-21T20:26:24.2775163Z           (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2775801Z         )
2025-03-21T20:26:24.2776129Z         (w2): Conv2D(
2025-03-21T20:26:24.2776712Z           (conv): Conv2d(768, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2777388Z         )
2025-03-21T20:26:24.2778596Z         (w3): Conv2D(
2025-03-21T20:26:24.2779207Z           (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2779879Z         )
2025-03-21T20:26:24.2780331Z       )
2025-03-21T20:26:24.2780861Z       (attention_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True)
2025-03-21T20:26:24.2781641Z       (ffn_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True)
2025-03-21T20:26:24.2782226Z     )
2025-03-21T20:26:24.2782540Z   )
2025-03-21T20:26:24.2782937Z   (norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True)
2025-03-21T20:26:24.2783505Z   (output): Conv2D(
2025-03-21T20:26:24.2784051Z     (conv): Conv2d(32000, 768, kernel_size=(1, 1), stride=(1, 1), bias=False)
2025-03-21T20:26:24.2784713Z   )
2025-03-21T20:26:24.2785035Z )
2025-03-21T20:26:24.2787016Z /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.)
2025-03-21T20:26:24.2788899Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:24.2790585Z /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.)
2025-03-21T20:26:24.2792327Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:24.2793107Z [INFO 2025-03-21 20:26:16,206 builder.py:251] Running canonical pass: RemoveRedundantTransposes
2025-03-21T20:26:24.2793881Z [INFO 2025-03-21 20:26:16,272 builder.py:337] Using pt2e [] to quantizing the model...
2025-03-21T20:26:24.2794463Z [INFO 2025-03-21 20:26:16,272 builder.py:388] No quantizer provided, passing...
2025-03-21T20:26:24.2796310Z /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.)
2025-03-21T20:26:24.2798056Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:24.2799760Z /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.)
2025-03-21T20:26:24.2801495Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:24.2801908Z [INFO 2025-03-21 20:26:24,272 utils.py:50] Core ATen graph:
2025-03-21T20:26:24.2802278Z graph():
2025-03-21T20:26:24.2802795Z     %p_tok_embeddings_weight : [num_users=1] = placeholder[target=p_tok_embeddings_weight]
2025-03-21T20:26:24.2804077Z     %p_getattr_l__self___layers___0___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___attention_norm_weight]
2025-03-21T20:26:24.2805553Z     %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]
2025-03-21T20:26:24.2806939Z     %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]
2025-03-21T20:26:24.2808106Z     %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]
2025-03-21T20:26:24.2809193Z     %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]
2025-03-21T20:26:24.2810211Z     %p_getattr_l__self___layers___0___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___0___ffn_norm_weight]
2025-03-21T20:26:24.2811360Z     %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]
2025-03-21T20:26:24.2812547Z     %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]
2025-03-21T20:26:24.2813664Z     %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]
2025-03-21T20:26:24.2814735Z     %p_getattr_l__self___layers___1___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___attention_norm_weight]
2025-03-21T20:26:24.2815808Z     %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]
2025-03-21T20:26:24.2816894Z     %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]
2025-03-21T20:26:24.2817994Z     %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]
2025-03-21T20:26:24.2819087Z     %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]
2025-03-21T20:26:24.2820108Z     %p_getattr_l__self___layers___1___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___1___ffn_norm_weight]
2025-03-21T20:26:24.2821144Z     %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]
2025-03-21T20:26:24.2822263Z     %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]
2025-03-21T20:26:24.2823390Z     %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]
2025-03-21T20:26:24.2824673Z     %p_getattr_l__self___layers___2___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___attention_norm_weight]
2025-03-21T20:26:24.2825752Z     %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]
2025-03-21T20:26:24.2826841Z     %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]
2025-03-21T20:26:24.2827926Z     %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]
2025-03-21T20:26:24.2829011Z     %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]
2025-03-21T20:26:24.2830039Z     %p_getattr_l__self___layers___2___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___2___ffn_norm_weight]
2025-03-21T20:26:24.2831072Z     %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]
2025-03-21T20:26:24.2832189Z     %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]
2025-03-21T20:26:24.2833290Z     %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]
2025-03-21T20:26:24.2834373Z     %p_getattr_l__self___layers___3___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___attention_norm_weight]
2025-03-21T20:26:24.2835654Z     %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]
2025-03-21T20:26:24.2836745Z     %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]
2025-03-21T20:26:24.2837831Z     %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]
2025-03-21T20:26:24.2838914Z     %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]
2025-03-21T20:26:24.2839937Z     %p_getattr_l__self___layers___3___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___3___ffn_norm_weight]
2025-03-21T20:26:24.2840971Z     %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]
2025-03-21T20:26:24.2842094Z     %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]
2025-03-21T20:26:24.2843259Z     %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]
2025-03-21T20:26:24.2844338Z     %p_getattr_l__self___layers___4___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___attention_norm_weight]
2025-03-21T20:26:24.2845402Z     %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]
2025-03-21T20:26:24.2846481Z     %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]
2025-03-21T20:26:24.2847574Z     %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]
2025-03-21T20:26:24.2848669Z     %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]
2025-03-21T20:26:24.2849688Z     %p_getattr_l__self___layers___4___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___4___ffn_norm_weight]
2025-03-21T20:26:24.2850723Z     %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]
2025-03-21T20:26:24.2851837Z     %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]
2025-03-21T20:26:24.2852939Z     %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]
2025-03-21T20:26:24.2854032Z     %p_getattr_l__self___layers___5___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___attention_norm_weight]
2025-03-21T20:26:24.2855101Z     %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]
2025-03-21T20:26:24.2856191Z     %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]
2025-03-21T20:26:24.2857274Z     %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]
2025-03-21T20:26:24.2858352Z     %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]
2025-03-21T20:26:24.2859488Z     %p_getattr_l__self___layers___5___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___5___ffn_norm_weight]
2025-03-21T20:26:24.2860523Z     %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]
2025-03-21T20:26:24.2861641Z     %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]
2025-03-21T20:26:24.2862747Z     %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]
2025-03-21T20:26:24.2863825Z     %p_getattr_l__self___layers___6___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___attention_norm_weight]
2025-03-21T20:26:24.2864899Z     %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]
2025-03-21T20:26:24.2865991Z     %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]
2025-03-21T20:26:24.2867078Z     %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]
2025-03-21T20:26:24.2868164Z     %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]
2025-03-21T20:26:24.2869190Z     %p_getattr_l__self___layers___6___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___6___ffn_norm_weight]
2025-03-21T20:26:24.2870224Z     %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]
2025-03-21T20:26:24.2871351Z     %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]
2025-03-21T20:26:24.2872459Z     %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]
2025-03-21T20:26:24.2873542Z     %p_getattr_l__self___layers___7___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___attention_norm_weight]
2025-03-21T20:26:24.2874610Z     %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]
2025-03-21T20:26:24.2875692Z     %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]
2025-03-21T20:26:24.2876786Z     %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]
2025-03-21T20:26:24.2877873Z     %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]
2025-03-21T20:26:24.2878894Z     %p_getattr_l__self___layers___7___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___7___ffn_norm_weight]
2025-03-21T20:26:24.2879927Z     %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]
2025-03-21T20:26:24.2881044Z     %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]
2025-03-21T20:26:24.2882147Z     %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]
2025-03-21T20:26:24.2883475Z     %p_getattr_l__self___layers___8___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___attention_norm_weight]
2025-03-21T20:26:24.2884550Z     %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]
2025-03-21T20:26:24.2885637Z     %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]
2025-03-21T20:26:24.2886727Z     %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]
2025-03-21T20:26:24.2887807Z     %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]
2025-03-21T20:26:24.2888833Z     %p_getattr_l__self___layers___8___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___8___ffn_norm_weight]
2025-03-21T20:26:24.2889871Z     %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]
2025-03-21T20:26:24.2890991Z     %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]
2025-03-21T20:26:24.2892095Z     %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]
2025-03-21T20:26:24.2893176Z     %p_getattr_l__self___layers___9___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___attention_norm_weight]
2025-03-21T20:26:24.2894240Z     %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]
2025-03-21T20:26:24.2895338Z     %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]
2025-03-21T20:26:24.2896422Z     %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]
2025-03-21T20:26:24.2897508Z     %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]
2025-03-21T20:26:24.2898528Z     %p_getattr_l__self___layers___9___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___9___ffn_norm_weight]
2025-03-21T20:26:24.2899563Z     %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]
2025-03-21T20:26:24.2900694Z     %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]
2025-03-21T20:26:24.2901798Z     %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]
2025-03-21T20:26:24.2902888Z     %p_getattr_l__self___layers___10___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___attention_norm_weight]
2025-03-21T20:26:24.2903969Z     %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]
2025-03-21T20:26:24.2905070Z     %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]
2025-03-21T20:26:24.2906165Z     %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]
2025-03-21T20:26:24.2907362Z     %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]
2025-03-21T20:26:24.2908392Z     %p_getattr_l__self___layers___10___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___10___ffn_norm_weight]
2025-03-21T20:26:24.2909436Z     %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]
2025-03-21T20:26:24.2910558Z     %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]
2025-03-21T20:26:24.2911672Z     %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]
2025-03-21T20:26:24.2912774Z     %p_getattr_l__self___layers___11___attention_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___attention_norm_weight]
2025-03-21T20:26:24.2913853Z     %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]
2025-03-21T20:26:24.2914950Z     %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]
2025-03-21T20:26:24.2916047Z     %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]
2025-03-21T20:26:24.2917149Z     %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]
2025-03-21T20:26:24.2918183Z     %p_getattr_l__self___layers___11___ffn_norm_weight : [num_users=1] = placeholder[target=p_getattr_l__self___layers___11___ffn_norm_weight]
2025-03-21T20:26:24.2919234Z     %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]
2025-03-21T20:26:24.2920362Z     %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]
2025-03-21T20:26:24.2921478Z     %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]
2025-03-21T20:26:24.2922298Z     %p_norm_weight : [num_users=1] = placeholder[target=p_norm_weight]
2025-03-21T20:26:24.2922917Z     %p_output_conv_weight : [num_users=1] = placeholder[target=p_output_conv_weight]
2025-03-21T20:26:24.2923776Z     %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]
2025-03-21T20:26:24.2925059Z     %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]
2025-03-21T20:26:24.2926210Z     %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]
2025-03-21T20:26:24.2927405Z     %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]
2025-03-21T20:26:24.2928478Z     %b_getattr_l__self___layers___0___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___0___attention_mask]
2025-03-21T20:26:24.2929535Z     %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]
2025-03-21T20:26:24.2930913Z     %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]
2025-03-21T20:26:24.2932067Z     %b_getattr_l__self___layers___1___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___1___attention_mask]
2025-03-21T20:26:24.2933139Z     %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]
2025-03-21T20:26:24.2934332Z     %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]
2025-03-21T20:26:24.2935405Z     %b_getattr_l__self___layers___2___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___2___attention_mask]
2025-03-21T20:26:24.2936484Z     %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]
2025-03-21T20:26:24.2937676Z     %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]
2025-03-21T20:26:24.2938745Z     %b_getattr_l__self___layers___3___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___3___attention_mask]
2025-03-21T20:26:24.2939797Z     %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]
2025-03-21T20:26:24.2940982Z     %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]
2025-03-21T20:26:24.2942045Z     %b_getattr_l__self___layers___4___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___4___attention_mask]
2025-03-21T20:26:24.2943184Z     %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]
2025-03-21T20:26:24.2944373Z     %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]
2025-03-21T20:26:24.2945475Z     %b_getattr_l__self___layers___5___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___5___attention_mask]
2025-03-21T20:26:24.2946538Z     %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]
2025-03-21T20:26:24.2947721Z     %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]
2025-03-21T20:26:24.2948797Z     %b_getattr_l__self___layers___6___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___6___attention_mask]
2025-03-21T20:26:24.2949849Z     %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]
2025-03-21T20:26:24.2951036Z     %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]
2025-03-21T20:26:24.2952103Z     %b_getattr_l__self___layers___7___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___7___attention_mask]
2025-03-21T20:26:24.2953175Z     %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]
2025-03-21T20:26:24.2954462Z     %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]
2025-03-21T20:26:24.2955586Z     %b_getattr_l__self___layers___8___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___8___attention_mask]
2025-03-21T20:26:24.2956657Z     %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]
2025-03-21T20:26:24.2957843Z     %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]
2025-03-21T20:26:24.2958910Z     %b_getattr_l__self___layers___9___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___9___attention_mask]
2025-03-21T20:26:24.2959970Z     %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]
2025-03-21T20:26:24.2961175Z     %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]
2025-03-21T20:26:24.2962263Z     %b_getattr_l__self___layers___10___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___10___attention_mask]
2025-03-21T20:26:24.2963429Z     %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]
2025-03-21T20:26:24.2964633Z     %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]
2025-03-21T20:26:24.2965723Z     %b_getattr_l__self___layers___11___attention_mask : [num_users=1] = placeholder[target=b_getattr_l__self___layers___11___attention_mask]
2025-03-21T20:26:24.2966432Z     %tokens : [num_users=1] = placeholder[target=tokens]
2025-03-21T20:26:24.2966971Z     %attn_options_input_pos : [num_users=38] = placeholder[target=attn_options_input_pos]
2025-03-21T20:26:24.2967827Z     %embedding : [num_users=2] = call_function[target=torch.ops.aten.embedding.default](args = (%p_tok_embeddings_weight, %tokens), kwargs = {})
2025-03-21T20:26:24.2968999Z     %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 = {})
2025-03-21T20:26:24.2970306Z     %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 = {})
2025-03-21T20:26:24.2971609Z     %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 = {})
2025-03-21T20:26:24.2972733Z     %unsqueeze : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm, -1), kwargs = {})
2025-03-21T20:26:24.2973642Z     %transpose : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze, 1, 2), kwargs = {})
2025-03-21T20:26:24.2974760Z     %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 = {})
2025-03-21T20:26:24.2975823Z     %transpose_1 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d, 1, 2), kwargs = {})
2025-03-21T20:26:24.2976694Z     %squeeze : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_1, -1), kwargs = {})
2025-03-21T20:26:24.2977568Z     %unsqueeze_1 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm, -1), kwargs = {})
2025-03-21T20:26:24.2978554Z     %transpose_2 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.2979687Z     %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 = {})
2025-03-21T20:26:24.2980763Z     %transpose_3 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.2981643Z     %squeeze_1 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_3, -1), kwargs = {})
2025-03-21T20:26:24.2982536Z     %unsqueeze_2 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm, -1), kwargs = {})
2025-03-21T20:26:24.2983494Z     %transpose_4 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.2984600Z     %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 = {})
2025-03-21T20:26:24.2985659Z     %transpose_5 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.2986532Z     %squeeze_2 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_5, -1), kwargs = {})
2025-03-21T20:26:24.2987396Z     %view : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.2988274Z     %view_1 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_1, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.2989157Z     %view_2 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_2, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.2990065Z     %_to_copy : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.2990996Z     %view_3 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.2991843Z     %unbind : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_3, -1), kwargs = {})
2025-03-21T20:26:24.2992599Z     %getitem : [num_users=2] = call_function[target=operator.getitem](args = (%unbind, 0), kwargs = {})
2025-03-21T20:26:24.2993332Z     %getitem_1 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind, 1), kwargs = {})
2025-03-21T20:26:24.2994178Z     %_to_copy_1 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_1,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.2995107Z     %view_4 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_1, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.2995969Z     %unbind_1 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_4, -1), kwargs = {})
2025-03-21T20:26:24.2996754Z     %getitem_2 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_1, 0), kwargs = {})
2025-03-21T20:26:24.2997506Z     %getitem_3 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_1, 1), kwargs = {})
2025-03-21T20:26:24.2998298Z     %view_5 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.2999156Z     %view_6 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.2999993Z     %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem, %view_5), kwargs = {})
2025-03-21T20:26:24.3000804Z     %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_1, %view_6), kwargs = {})
2025-03-21T20:26:24.3001668Z     %sub : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul, %mul_1), kwargs = {})
2025-03-21T20:26:24.3002577Z     %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem, %view_6), kwargs = {})
2025-03-21T20:26:24.3003404Z     %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_1, %view_5), kwargs = {})
2025-03-21T20:26:24.3004193Z     %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_2, %mul_3), kwargs = {})
2025-03-21T20:26:24.3004993Z     %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_2, %view_5), kwargs = {})
2025-03-21T20:26:24.3005810Z     %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_3, %view_6), kwargs = {})
2025-03-21T20:26:24.3006607Z     %sub_1 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_4, %mul_5), kwargs = {})
2025-03-21T20:26:24.3007407Z     %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_2, %view_6), kwargs = {})
2025-03-21T20:26:24.3008226Z     %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_3, %view_5), kwargs = {})
2025-03-21T20:26:24.3009021Z     %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_6, %mul_7), kwargs = {})
2025-03-21T20:26:24.3009823Z     %stack : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub, %add], -1), kwargs = {})
2025-03-21T20:26:24.3010673Z     %view_7 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3011541Z     %stack_1 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_1, %add_1], -1), kwargs = {})
2025-03-21T20:26:24.3012408Z     %view_8 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_1, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3013270Z     %type_as : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_7, %view), kwargs = {})
2025-03-21T20:26:24.3014117Z     %type_as_1 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_8, %view_1), kwargs = {})
2025-03-21T20:26:24.3014986Z     %transpose_6 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as, 1, 2), kwargs = {})
2025-03-21T20:26:24.3016184Z     %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 = {})
2025-03-21T20:26:24.3017697Z     %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 = {})
2025-03-21T20:26:24.3018900Z     %transpose_7 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3019782Z     %select : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_7, 0, 0), kwargs = {})
2025-03-21T20:26:24.3020616Z     %select_1 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select, 0, 0), kwargs = {})
2025-03-21T20:26:24.3021473Z     %transpose_8 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3022341Z     %select_2 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_8, 0, 0), kwargs = {})
2025-03-21T20:26:24.3023172Z     %select_3 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_2, 0, 1), kwargs = {})
2025-03-21T20:26:24.3024018Z     %transpose_9 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3025116Z     %select_4 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_9, 0, 0), kwargs = {})
2025-03-21T20:26:24.3026051Z     %select_5 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_4, 0, 2), kwargs = {})
2025-03-21T20:26:24.3026912Z     %transpose_10 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3027789Z     %select_6 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_10, 0, 0), kwargs = {})
2025-03-21T20:26:24.3028626Z     %select_7 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_6, 0, 3), kwargs = {})
2025-03-21T20:26:24.3029487Z     %transpose_11 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3030365Z     %select_8 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_11, 0, 0), kwargs = {})
2025-03-21T20:26:24.3031200Z     %select_9 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_8, 0, 4), kwargs = {})
2025-03-21T20:26:24.3032061Z     %transpose_12 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3032943Z     %select_10 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_12, 0, 0), kwargs = {})
2025-03-21T20:26:24.3033790Z     %select_11 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_10, 0, 5), kwargs = {})
2025-03-21T20:26:24.3034659Z     %transpose_13 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3035537Z     %select_12 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_13, 0, 0), kwargs = {})
2025-03-21T20:26:24.3036381Z     %select_13 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_12, 0, 6), kwargs = {})
2025-03-21T20:26:24.3037240Z     %transpose_14 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3038122Z     %select_14 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_14, 0, 0), kwargs = {})
2025-03-21T20:26:24.3038965Z     %select_15 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_14, 0, 7), kwargs = {})
2025-03-21T20:26:24.3039829Z     %transpose_15 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3040705Z     %select_16 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_15, 0, 0), kwargs = {})
2025-03-21T20:26:24.3041548Z     %select_17 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_16, 0, 8), kwargs = {})
2025-03-21T20:26:24.3042475Z     %transpose_16 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3043356Z     %select_18 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_16, 0, 0), kwargs = {})
2025-03-21T20:26:24.3044208Z     %select_19 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_18, 0, 9), kwargs = {})
2025-03-21T20:26:24.3045083Z     %transpose_17 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3045964Z     %select_20 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_17, 0, 0), kwargs = {})
2025-03-21T20:26:24.3046815Z     %select_21 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_20, 0, 10), kwargs = {})
2025-03-21T20:26:24.3047689Z     %transpose_18 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put, 1, 2), kwargs = {})
2025-03-21T20:26:24.3048662Z     %select_22 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_18, 0, 0), kwargs = {})
2025-03-21T20:26:24.3049565Z     %select_23 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_22, 0, 11), kwargs = {})
2025-03-21T20:26:24.3050742Z     %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 = {})
2025-03-21T20:26:24.3051957Z     %view_9 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3052853Z     %transpose_19 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3053744Z     %select_24 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_19, 0, 0), kwargs = {})
2025-03-21T20:26:24.3054597Z     %select_25 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_24, 0, 0), kwargs = {})
2025-03-21T20:26:24.3055480Z     %transpose_20 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3056366Z     %select_26 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_20, 0, 0), kwargs = {})
2025-03-21T20:26:24.3057203Z     %select_27 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_26, 0, 1), kwargs = {})
2025-03-21T20:26:24.3058083Z     %transpose_21 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3058967Z     %select_28 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_21, 0, 0), kwargs = {})
2025-03-21T20:26:24.3059811Z     %select_29 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_28, 0, 2), kwargs = {})
2025-03-21T20:26:24.3060693Z     %transpose_22 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3061576Z     %select_30 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_22, 0, 0), kwargs = {})
2025-03-21T20:26:24.3062422Z     %select_31 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_30, 0, 3), kwargs = {})
2025-03-21T20:26:24.3063292Z     %transpose_23 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3064166Z     %select_32 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_23, 0, 0), kwargs = {})
2025-03-21T20:26:24.3065004Z     %select_33 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_32, 0, 4), kwargs = {})
2025-03-21T20:26:24.3065880Z     %transpose_24 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3066769Z     %select_34 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_24, 0, 0), kwargs = {})
2025-03-21T20:26:24.3067612Z     %select_35 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_34, 0, 5), kwargs = {})
2025-03-21T20:26:24.3068480Z     %transpose_25 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3069362Z     %select_36 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_25, 0, 0), kwargs = {})
2025-03-21T20:26:24.3070195Z     %select_37 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_36, 0, 6), kwargs = {})
2025-03-21T20:26:24.3071065Z     %transpose_26 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3072003Z     %select_38 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_26, 0, 0), kwargs = {})
2025-03-21T20:26:24.3072894Z     %select_39 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_38, 0, 7), kwargs = {})
2025-03-21T20:26:24.3073774Z     %transpose_27 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3074657Z     %select_40 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_27, 0, 0), kwargs = {})
2025-03-21T20:26:24.3075500Z     %select_41 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_40, 0, 8), kwargs = {})
2025-03-21T20:26:24.3076360Z     %transpose_28 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3077246Z     %select_42 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_28, 0, 0), kwargs = {})
2025-03-21T20:26:24.3078095Z     %select_43 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_42, 0, 9), kwargs = {})
2025-03-21T20:26:24.3078964Z     %transpose_29 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3079847Z     %select_44 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_29, 0, 0), kwargs = {})
2025-03-21T20:26:24.3080699Z     %select_45 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_44, 0, 10), kwargs = {})
2025-03-21T20:26:24.3081576Z     %transpose_30 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3082523Z     %select_46 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_30, 0, 0), kwargs = {})
2025-03-21T20:26:24.3083365Z     %select_47 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_46, 0, 11), kwargs = {})
2025-03-21T20:26:24.3084649Z     %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 = {})
2025-03-21T20:26:24.3085871Z     %view_10 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_1, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3086929Z     %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 = {})
2025-03-21T20:26:24.3088002Z     %transpose_31 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_9, -2, -1), kwargs = {})
2025-03-21T20:26:24.3088927Z     %matmul : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_6, %transpose_31), kwargs = {})
2025-03-21T20:26:24.3089800Z     %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul, 0.125), kwargs = {})
2025-03-21T20:26:24.3090595Z     %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_8, %index_2), kwargs = {})
2025-03-21T20:26:24.3091384Z     %softmax : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_2, -1), kwargs = {})
2025-03-21T20:26:24.3092234Z     %matmul_1 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax, %view_10), kwargs = {})
2025-03-21T20:26:24.3093124Z     %transpose_32 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_1, 1, 2), kwargs = {})
2025-03-21T20:26:24.3094013Z     %view_11 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_32, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.3094912Z     %unsqueeze_3 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_11, -1), kwargs = {})
2025-03-21T20:26:24.3095941Z     %transpose_33 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3097029Z     %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 = {})
2025-03-21T20:26:24.3098088Z     %transpose_34 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3098968Z     %squeeze_3 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_34, -1), kwargs = {})
2025-03-21T20:26:24.3099826Z     %add_3 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%embedding, %squeeze_3), kwargs = {})
2025-03-21T20:26:24.3100847Z     %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 = {})
2025-03-21T20:26:24.3101916Z     %unsqueeze_4 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_1, -1), kwargs = {})
2025-03-21T20:26:24.3102835Z     %transpose_35 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3103924Z     %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 = {})
2025-03-21T20:26:24.3105000Z     %transpose_36 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3105865Z     %squeeze_4 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_36, -1), kwargs = {})
2025-03-21T20:26:24.3106698Z     %silu : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_4,), kwargs = {})
2025-03-21T20:26:24.3107567Z     %unsqueeze_5 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_1, -1), kwargs = {})
2025-03-21T20:26:24.3108485Z     %transpose_37 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3109571Z     %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 = {})
2025-03-21T20:26:24.3110645Z     %transpose_38 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3111524Z     %squeeze_5 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_38, -1), kwargs = {})
2025-03-21T20:26:24.3112367Z     %mul_9 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu, %squeeze_5), kwargs = {})
2025-03-21T20:26:24.3113210Z     %unsqueeze_6 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_9, -1), kwargs = {})
2025-03-21T20:26:24.3114116Z     %transpose_39 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3115210Z     %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 = {})
2025-03-21T20:26:24.3116295Z     %transpose_40 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3117173Z     %squeeze_6 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_40, -1), kwargs = {})
2025-03-21T20:26:24.3118018Z     %add_4 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_3, %squeeze_6), kwargs = {})
2025-03-21T20:26:24.3119226Z     %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 = {})
2025-03-21T20:26:24.3120314Z     %unsqueeze_7 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_2, -1), kwargs = {})
2025-03-21T20:26:24.3121223Z     %transpose_41 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3122301Z     %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 = {})
2025-03-21T20:26:24.3123435Z     %transpose_42 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3124466Z     %squeeze_7 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_42, -1), kwargs = {})
2025-03-21T20:26:24.3125390Z     %unsqueeze_8 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_2, -1), kwargs = {})
2025-03-21T20:26:24.3126318Z     %transpose_43 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3127405Z     %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 = {})
2025-03-21T20:26:24.3128479Z     %transpose_44 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3129350Z     %squeeze_8 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_44, -1), kwargs = {})
2025-03-21T20:26:24.3130254Z     %unsqueeze_9 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_2, -1), kwargs = {})
2025-03-21T20:26:24.3131182Z     %transpose_45 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3132268Z     %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 = {})
2025-03-21T20:26:24.3133342Z     %transpose_46 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3134226Z     %squeeze_9 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_46, -1), kwargs = {})
2025-03-21T20:26:24.3135112Z     %view_12 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_7, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3136006Z     %view_13 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_8, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3136882Z     %view_14 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_9, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3137817Z     %_to_copy_2 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_12,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3138763Z     %view_15 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_2, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3139626Z     %unbind_2 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_15, -1), kwargs = {})
2025-03-21T20:26:24.3140418Z     %getitem_4 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_2, 0), kwargs = {})
2025-03-21T20:26:24.3141172Z     %getitem_5 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_2, 1), kwargs = {})
2025-03-21T20:26:24.3142035Z     %_to_copy_3 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_13,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3143057Z     %view_16 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_3, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3144003Z     %unbind_3 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_16, -1), kwargs = {})
2025-03-21T20:26:24.3144790Z     %getitem_6 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_3, 0), kwargs = {})
2025-03-21T20:26:24.3145545Z     %getitem_7 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_3, 1), kwargs = {})
2025-03-21T20:26:24.3146356Z     %view_17 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3147222Z     %view_18 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3148068Z     %mul_10 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_4, %view_17), kwargs = {})
2025-03-21T20:26:24.3148885Z     %mul_11 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_5, %view_18), kwargs = {})
2025-03-21T20:26:24.3149699Z     %sub_2 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_10, %mul_11), kwargs = {})
2025-03-21T20:26:24.3150507Z     %mul_12 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_4, %view_18), kwargs = {})
2025-03-21T20:26:24.3151331Z     %mul_13 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_5, %view_17), kwargs = {})
2025-03-21T20:26:24.3152145Z     %add_5 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_12, %mul_13), kwargs = {})
2025-03-21T20:26:24.3152958Z     %mul_14 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_6, %view_17), kwargs = {})
2025-03-21T20:26:24.3153782Z     %mul_15 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_7, %view_18), kwargs = {})
2025-03-21T20:26:24.3154589Z     %sub_3 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_14, %mul_15), kwargs = {})
2025-03-21T20:26:24.3155402Z     %mul_16 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_6, %view_18), kwargs = {})
2025-03-21T20:26:24.3156223Z     %mul_17 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_7, %view_17), kwargs = {})
2025-03-21T20:26:24.3157033Z     %add_6 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_16, %mul_17), kwargs = {})
2025-03-21T20:26:24.3157870Z     %stack_2 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_2, %add_5], -1), kwargs = {})
2025-03-21T20:26:24.3158747Z     %view_19 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_2, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3159618Z     %stack_3 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_3, %add_6], -1), kwargs = {})
2025-03-21T20:26:24.3160537Z     %view_20 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_3, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3161409Z     %type_as_2 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_19, %view_12), kwargs = {})
2025-03-21T20:26:24.3162272Z     %type_as_3 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_20, %view_13), kwargs = {})
2025-03-21T20:26:24.3163232Z     %transpose_47 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3164457Z     %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 = {})
2025-03-21T20:26:24.3166049Z     %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 = {})
2025-03-21T20:26:24.3167328Z     %transpose_48 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3168222Z     %select_48 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_48, 0, 0), kwargs = {})
2025-03-21T20:26:24.3169071Z     %select_49 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_48, 0, 0), kwargs = {})
2025-03-21T20:26:24.3169932Z     %transpose_49 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3170820Z     %select_50 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_49, 0, 0), kwargs = {})
2025-03-21T20:26:24.3171660Z     %select_51 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_50, 0, 1), kwargs = {})
2025-03-21T20:26:24.3172537Z     %transpose_50 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3173421Z     %select_52 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_50, 0, 0), kwargs = {})
2025-03-21T20:26:24.3174261Z     %select_53 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_52, 0, 2), kwargs = {})
2025-03-21T20:26:24.3175129Z     %transpose_51 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3176000Z     %select_54 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_51, 0, 0), kwargs = {})
2025-03-21T20:26:24.3176843Z     %select_55 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_54, 0, 3), kwargs = {})
2025-03-21T20:26:24.3177716Z     %transpose_52 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3178602Z     %select_56 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_52, 0, 0), kwargs = {})
2025-03-21T20:26:24.3179447Z     %select_57 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_56, 0, 4), kwargs = {})
2025-03-21T20:26:24.3180319Z     %transpose_53 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3181197Z     %select_58 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_53, 0, 0), kwargs = {})
2025-03-21T20:26:24.3182026Z     %select_59 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_58, 0, 5), kwargs = {})
2025-03-21T20:26:24.3182897Z     %transpose_54 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3183800Z     %select_60 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_54, 0, 0), kwargs = {})
2025-03-21T20:26:24.3184644Z     %select_61 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_60, 0, 6), kwargs = {})
2025-03-21T20:26:24.3185516Z     %transpose_55 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3186398Z     %select_62 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_55, 0, 0), kwargs = {})
2025-03-21T20:26:24.3187238Z     %select_63 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_62, 0, 7), kwargs = {})
2025-03-21T20:26:24.3188110Z     %transpose_56 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3188981Z     %select_64 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_56, 0, 0), kwargs = {})
2025-03-21T20:26:24.3189943Z     %select_65 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_64, 0, 8), kwargs = {})
2025-03-21T20:26:24.3190819Z     %transpose_57 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3191709Z     %select_66 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_57, 0, 0), kwargs = {})
2025-03-21T20:26:24.3192552Z     %select_67 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_66, 0, 9), kwargs = {})
2025-03-21T20:26:24.3193424Z     %transpose_58 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3194310Z     %select_68 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_58, 0, 0), kwargs = {})
2025-03-21T20:26:24.3195153Z     %select_69 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_68, 0, 10), kwargs = {})
2025-03-21T20:26:24.3196034Z     %transpose_59 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_2, 1, 2), kwargs = {})
2025-03-21T20:26:24.3196918Z     %select_70 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_59, 0, 0), kwargs = {})
2025-03-21T20:26:24.3197771Z     %select_71 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_70, 0, 11), kwargs = {})
2025-03-21T20:26:24.3198963Z     %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 = {})
2025-03-21T20:26:24.3200173Z     %view_21 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_2, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3212940Z     %transpose_60 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3214021Z     %select_72 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_60, 0, 0), kwargs = {})
2025-03-21T20:26:24.3214885Z     %select_73 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_72, 0, 0), kwargs = {})
2025-03-21T20:26:24.3215764Z     %transpose_61 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3216654Z     %select_74 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_61, 0, 0), kwargs = {})
2025-03-21T20:26:24.3217508Z     %select_75 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_74, 0, 1), kwargs = {})
2025-03-21T20:26:24.3218391Z     %transpose_62 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3219290Z     %select_76 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_62, 0, 0), kwargs = {})
2025-03-21T20:26:24.3220124Z     %select_77 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_76, 0, 2), kwargs = {})
2025-03-21T20:26:24.3220995Z     %transpose_63 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3221882Z     %select_78 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_63, 0, 0), kwargs = {})
2025-03-21T20:26:24.3222724Z     %select_79 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_78, 0, 3), kwargs = {})
2025-03-21T20:26:24.3223599Z     %transpose_64 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3224922Z     %select_80 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_64, 0, 0), kwargs = {})
2025-03-21T20:26:24.3226671Z     %select_81 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_80, 0, 4), kwargs = {})
2025-03-21T20:26:24.3227543Z     %transpose_65 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3228429Z     %select_82 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_65, 0, 0), kwargs = {})
2025-03-21T20:26:24.3229285Z     %select_83 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_82, 0, 5), kwargs = {})
2025-03-21T20:26:24.3230160Z     %transpose_66 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3231046Z     %select_84 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_66, 0, 0), kwargs = {})
2025-03-21T20:26:24.3231899Z     %select_85 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_84, 0, 6), kwargs = {})
2025-03-21T20:26:24.3232780Z     %transpose_67 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3233654Z     %select_86 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_67, 0, 0), kwargs = {})
2025-03-21T20:26:24.3234504Z     %select_87 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_86, 0, 7), kwargs = {})
2025-03-21T20:26:24.3235375Z     %transpose_68 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3236259Z     %select_88 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_68, 0, 0), kwargs = {})
2025-03-21T20:26:24.3237184Z     %select_89 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_88, 0, 8), kwargs = {})
2025-03-21T20:26:24.3238069Z     %transpose_69 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3238955Z     %select_90 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_69, 0, 0), kwargs = {})
2025-03-21T20:26:24.3239786Z     %select_91 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_90, 0, 9), kwargs = {})
2025-03-21T20:26:24.3240660Z     %transpose_70 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3241541Z     %select_92 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_70, 0, 0), kwargs = {})
2025-03-21T20:26:24.3242394Z     %select_93 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_92, 0, 10), kwargs = {})
2025-03-21T20:26:24.3243346Z     %transpose_71 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3244236Z     %select_94 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_71, 0, 0), kwargs = {})
2025-03-21T20:26:24.3245089Z     %select_95 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_94, 0, 11), kwargs = {})
2025-03-21T20:26:24.3246286Z     %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 = {})
2025-03-21T20:26:24.3247566Z     %view_22 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_3, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3248625Z     %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 = {})
2025-03-21T20:26:24.3249859Z     %transpose_72 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_21, -2, -1), kwargs = {})
2025-03-21T20:26:24.3250792Z     %matmul_2 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_47, %transpose_72), kwargs = {})
2025-03-21T20:26:24.3251677Z     %mul_18 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_2, 0.125), kwargs = {})
2025-03-21T20:26:24.3252483Z     %add_7 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_18, %index_3), kwargs = {})
2025-03-21T20:26:24.3253297Z     %softmax_1 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_7, -1), kwargs = {})
2025-03-21T20:26:24.3254164Z     %matmul_3 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_1, %view_22), kwargs = {})
2025-03-21T20:26:24.3255050Z     %transpose_73 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_3, 1, 2), kwargs = {})
2025-03-21T20:26:24.3255952Z     %view_23 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_73, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.3256857Z     %unsqueeze_10 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_23, -1), kwargs = {})
2025-03-21T20:26:24.3257808Z     %transpose_74 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3258950Z     %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 = {})
2025-03-21T20:26:24.3260027Z     %transpose_75 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3260915Z     %squeeze_10 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_75, -1), kwargs = {})
2025-03-21T20:26:24.3261775Z     %add_8 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_4, %squeeze_10), kwargs = {})
2025-03-21T20:26:24.3262776Z     %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 = {})
2025-03-21T20:26:24.3263842Z     %unsqueeze_11 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_3, -1), kwargs = {})
2025-03-21T20:26:24.3264766Z     %transpose_76 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3265861Z     %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 = {})
2025-03-21T20:26:24.3266945Z     %transpose_77 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3267839Z     %squeeze_11 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_77, -1), kwargs = {})
2025-03-21T20:26:24.3268680Z     %silu_1 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_11,), kwargs = {})
2025-03-21T20:26:24.3269552Z     %unsqueeze_12 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_3, -1), kwargs = {})
2025-03-21T20:26:24.3270468Z     %transpose_78 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3271562Z     %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 = {})
2025-03-21T20:26:24.3272648Z     %transpose_79 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3273660Z     %squeeze_12 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_79, -1), kwargs = {})
2025-03-21T20:26:24.3274519Z     %mul_19 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_1, %squeeze_12), kwargs = {})
2025-03-21T20:26:24.3275381Z     %unsqueeze_13 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_19, -1), kwargs = {})
2025-03-21T20:26:24.3276291Z     %transpose_80 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3277374Z     %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 = {})
2025-03-21T20:26:24.3278449Z     %transpose_81 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3279338Z     %squeeze_13 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_81, -1), kwargs = {})
2025-03-21T20:26:24.3280188Z     %add_9 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_8, %squeeze_13), kwargs = {})
2025-03-21T20:26:24.3281218Z     %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 = {})
2025-03-21T20:26:24.3282297Z     %unsqueeze_14 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_4, -1), kwargs = {})
2025-03-21T20:26:24.3283301Z     %transpose_82 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.3284388Z     %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 = {})
2025-03-21T20:26:24.3285465Z     %transpose_83 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.3286339Z     %squeeze_14 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_83, -1), kwargs = {})
2025-03-21T20:26:24.3287246Z     %unsqueeze_15 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_4, -1), kwargs = {})
2025-03-21T20:26:24.3288173Z     %transpose_84 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.3289262Z     %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 = {})
2025-03-21T20:26:24.3290337Z     %transpose_85 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.3291230Z     %squeeze_15 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_85, -1), kwargs = {})
2025-03-21T20:26:24.3292135Z     %unsqueeze_16 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_4, -1), kwargs = {})
2025-03-21T20:26:24.3293042Z     %transpose_86 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.3294127Z     %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 = {})
2025-03-21T20:26:24.3295202Z     %transpose_87 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.3296084Z     %squeeze_16 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_87, -1), kwargs = {})
2025-03-21T20:26:24.3297028Z     %view_24 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_14, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3297988Z     %view_25 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_15, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3298881Z     %view_26 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_16, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3299805Z     %_to_copy_4 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_24,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3300728Z     %view_27 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_4, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3301597Z     %unbind_4 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_27, -1), kwargs = {})
2025-03-21T20:26:24.3302390Z     %getitem_8 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_4, 0), kwargs = {})
2025-03-21T20:26:24.3303158Z     %getitem_9 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_4, 1), kwargs = {})
2025-03-21T20:26:24.3304010Z     %_to_copy_5 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_25,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3304946Z     %view_28 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_5, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3305811Z     %unbind_5 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_28, -1), kwargs = {})
2025-03-21T20:26:24.3306588Z     %getitem_10 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_5, 0), kwargs = {})
2025-03-21T20:26:24.3307344Z     %getitem_11 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_5, 1), kwargs = {})
2025-03-21T20:26:24.3308151Z     %view_29 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3309026Z     %view_30 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3309873Z     %mul_20 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_8, %view_29), kwargs = {})
2025-03-21T20:26:24.3310702Z     %mul_21 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_9, %view_30), kwargs = {})
2025-03-21T20:26:24.3311511Z     %sub_4 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_20, %mul_21), kwargs = {})
2025-03-21T20:26:24.3312306Z     %mul_22 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_8, %view_30), kwargs = {})
2025-03-21T20:26:24.3313132Z     %mul_23 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_9, %view_29), kwargs = {})
2025-03-21T20:26:24.3313948Z     %add_10 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_22, %mul_23), kwargs = {})
2025-03-21T20:26:24.3314771Z     %mul_24 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_10, %view_29), kwargs = {})
2025-03-21T20:26:24.3315607Z     %mul_25 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_11, %view_30), kwargs = {})
2025-03-21T20:26:24.3316420Z     %sub_5 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_24, %mul_25), kwargs = {})
2025-03-21T20:26:24.3317232Z     %mul_26 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_10, %view_30), kwargs = {})
2025-03-21T20:26:24.3318061Z     %mul_27 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_11, %view_29), kwargs = {})
2025-03-21T20:26:24.3318863Z     %add_11 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_26, %mul_27), kwargs = {})
2025-03-21T20:26:24.3319756Z     %stack_4 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_4, %add_10], -1), kwargs = {})
2025-03-21T20:26:24.3320689Z     %view_31 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_4, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3321573Z     %stack_5 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_5, %add_11], -1), kwargs = {})
2025-03-21T20:26:24.3322519Z     %view_32 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_5, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3323394Z     %type_as_4 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_31, %view_24), kwargs = {})
2025-03-21T20:26:24.3324263Z     %type_as_5 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_32, %view_25), kwargs = {})
2025-03-21T20:26:24.3325297Z     %transpose_88 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3326542Z     %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 = {})
2025-03-21T20:26:24.3328075Z     %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 = {})
2025-03-21T20:26:24.3329287Z     %transpose_89 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3330177Z     %select_96 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_89, 0, 0), kwargs = {})
2025-03-21T20:26:24.3331026Z     %select_97 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_96, 0, 0), kwargs = {})
2025-03-21T20:26:24.3331910Z     %transpose_90 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3332800Z     %select_98 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_90, 0, 0), kwargs = {})
2025-03-21T20:26:24.3333630Z     %select_99 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_98, 0, 1), kwargs = {})
2025-03-21T20:26:24.3334507Z     %transpose_91 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3335400Z     %select_100 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_91, 0, 0), kwargs = {})
2025-03-21T20:26:24.3336255Z     %select_101 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_100, 0, 2), kwargs = {})
2025-03-21T20:26:24.3337134Z     %transpose_92 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3338024Z     %select_102 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_92, 0, 0), kwargs = {})
2025-03-21T20:26:24.3338879Z     %select_103 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_102, 0, 3), kwargs = {})
2025-03-21T20:26:24.3339745Z     %transpose_93 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3340632Z     %select_104 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_93, 0, 0), kwargs = {})
2025-03-21T20:26:24.3341487Z     %select_105 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_104, 0, 4), kwargs = {})
2025-03-21T20:26:24.3342370Z     %transpose_94 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3343370Z     %select_106 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_94, 0, 0), kwargs = {})
2025-03-21T20:26:24.3344293Z     %select_107 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_106, 0, 5), kwargs = {})
2025-03-21T20:26:24.3345174Z     %transpose_95 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3346049Z     %select_108 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_95, 0, 0), kwargs = {})
2025-03-21T20:26:24.3346911Z     %select_109 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_108, 0, 6), kwargs = {})
2025-03-21T20:26:24.3347794Z     %transpose_96 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3348685Z     %select_110 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_96, 0, 0), kwargs = {})
2025-03-21T20:26:24.3349548Z     %select_111 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_110, 0, 7), kwargs = {})
2025-03-21T20:26:24.3350431Z     %transpose_97 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3351316Z     %select_112 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_97, 0, 0), kwargs = {})
2025-03-21T20:26:24.3352159Z     %select_113 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_112, 0, 8), kwargs = {})
2025-03-21T20:26:24.3353039Z     %transpose_98 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3353924Z     %select_114 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_98, 0, 0), kwargs = {})
2025-03-21T20:26:24.3354779Z     %select_115 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_114, 0, 9), kwargs = {})
2025-03-21T20:26:24.3355671Z     %transpose_99 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3356564Z     %select_116 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_99, 0, 0), kwargs = {})
2025-03-21T20:26:24.3357422Z     %select_117 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_116, 0, 10), kwargs = {})
2025-03-21T20:26:24.3358300Z     %transpose_100 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_4, 1, 2), kwargs = {})
2025-03-21T20:26:24.3359197Z     %select_118 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_100, 0, 0), kwargs = {})
2025-03-21T20:26:24.3360059Z     %select_119 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_118, 0, 11), kwargs = {})
2025-03-21T20:26:24.3361312Z     %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 = {})
2025-03-21T20:26:24.3362629Z     %view_33 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_4, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3363534Z     %transpose_101 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3364436Z     %select_120 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_101, 0, 0), kwargs = {})
2025-03-21T20:26:24.3365297Z     %select_121 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_120, 0, 0), kwargs = {})
2025-03-21T20:26:24.3366184Z     %transpose_102 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3367181Z     %select_122 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_102, 0, 0), kwargs = {})
2025-03-21T20:26:24.3368043Z     %select_123 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_122, 0, 1), kwargs = {})
2025-03-21T20:26:24.3368926Z     %transpose_103 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3369819Z     %select_124 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_103, 0, 0), kwargs = {})
2025-03-21T20:26:24.3370677Z     %select_125 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_124, 0, 2), kwargs = {})
2025-03-21T20:26:24.3371558Z     %transpose_104 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3372451Z     %select_126 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_104, 0, 0), kwargs = {})
2025-03-21T20:26:24.3373305Z     %select_127 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_126, 0, 3), kwargs = {})
2025-03-21T20:26:24.3374191Z     %transpose_105 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3375083Z     %select_128 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_105, 0, 0), kwargs = {})
2025-03-21T20:26:24.3375939Z     %select_129 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_128, 0, 4), kwargs = {})
2025-03-21T20:26:24.3376819Z     %transpose_106 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3377707Z     %select_130 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_106, 0, 0), kwargs = {})
2025-03-21T20:26:24.3378560Z     %select_131 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_130, 0, 5), kwargs = {})
2025-03-21T20:26:24.3379438Z     %transpose_107 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3380321Z     %select_132 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_107, 0, 0), kwargs = {})
2025-03-21T20:26:24.3381159Z     %select_133 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_132, 0, 6), kwargs = {})
2025-03-21T20:26:24.3382034Z     %transpose_108 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3382911Z     %select_134 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_108, 0, 0), kwargs = {})
2025-03-21T20:26:24.3383757Z     %select_135 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_134, 0, 7), kwargs = {})
2025-03-21T20:26:24.3384634Z     %transpose_109 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3385517Z     %select_136 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_109, 0, 0), kwargs = {})
2025-03-21T20:26:24.3386364Z     %select_137 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_136, 0, 8), kwargs = {})
2025-03-21T20:26:24.3387244Z     %transpose_110 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3388120Z     %select_138 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_110, 0, 0), kwargs = {})
2025-03-21T20:26:24.3388968Z     %select_139 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_138, 0, 9), kwargs = {})
2025-03-21T20:26:24.3389913Z     %transpose_111 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3390843Z     %select_140 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_111, 0, 0), kwargs = {})
2025-03-21T20:26:24.3391700Z     %select_141 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_140, 0, 10), kwargs = {})
2025-03-21T20:26:24.3392577Z     %transpose_112 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3393457Z     %select_142 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_112, 0, 0), kwargs = {})
2025-03-21T20:26:24.3394296Z     %select_143 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_142, 0, 11), kwargs = {})
2025-03-21T20:26:24.3395528Z     %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 = {})
2025-03-21T20:26:24.3396783Z     %view_34 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_5, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3397828Z     %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 = {})
2025-03-21T20:26:24.3398891Z     %transpose_113 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_33, -2, -1), kwargs = {})
2025-03-21T20:26:24.3399819Z     %matmul_4 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_88, %transpose_113), kwargs = {})
2025-03-21T20:26:24.3400694Z     %mul_28 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_4, 0.125), kwargs = {})
2025-03-21T20:26:24.3401491Z     %add_12 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_28, %index_4), kwargs = {})
2025-03-21T20:26:24.3402303Z     %softmax_2 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_12, -1), kwargs = {})
2025-03-21T20:26:24.3403216Z     %matmul_5 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_2, %view_34), kwargs = {})
2025-03-21T20:26:24.3404103Z     %transpose_114 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_5, 1, 2), kwargs = {})
2025-03-21T20:26:24.3404989Z     %view_35 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_114, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.3405878Z     %unsqueeze_17 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_35, -1), kwargs = {})
2025-03-21T20:26:24.3406786Z     %transpose_115 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.3407877Z     %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 = {})
2025-03-21T20:26:24.3408941Z     %transpose_116 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.3409804Z     %squeeze_17 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_116, -1), kwargs = {})
2025-03-21T20:26:24.3410639Z     %add_13 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_9, %squeeze_17), kwargs = {})
2025-03-21T20:26:24.3411638Z     %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 = {})
2025-03-21T20:26:24.3412690Z     %unsqueeze_18 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_5, -1), kwargs = {})
2025-03-21T20:26:24.3413709Z     %transpose_117 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.3414800Z     %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 = {})
2025-03-21T20:26:24.3415876Z     %transpose_118 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.3416748Z     %squeeze_18 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_118, -1), kwargs = {})
2025-03-21T20:26:24.3417568Z     %silu_2 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_18,), kwargs = {})
2025-03-21T20:26:24.3418426Z     %unsqueeze_19 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_5, -1), kwargs = {})
2025-03-21T20:26:24.3419348Z     %transpose_119 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.3420438Z     %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 = {})
2025-03-21T20:26:24.3421511Z     %transpose_120 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.3422383Z     %squeeze_19 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_120, -1), kwargs = {})
2025-03-21T20:26:24.3423216Z     %mul_29 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_2, %squeeze_19), kwargs = {})
2025-03-21T20:26:24.3424065Z     %unsqueeze_20 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_29, -1), kwargs = {})
2025-03-21T20:26:24.3425152Z     %transpose_121 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.3426258Z     %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 = {})
2025-03-21T20:26:24.3427341Z     %transpose_122 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.3428223Z     %squeeze_20 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_122, -1), kwargs = {})
2025-03-21T20:26:24.3429061Z     %add_14 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_13, %squeeze_20), kwargs = {})
2025-03-21T20:26:24.3430085Z     %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 = {})
2025-03-21T20:26:24.3431166Z     %unsqueeze_21 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_6, -1), kwargs = {})
2025-03-21T20:26:24.3432090Z     %transpose_123 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.3433163Z     %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 = {})
2025-03-21T20:26:24.3434234Z     %transpose_124 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.3435109Z     %squeeze_21 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_124, -1), kwargs = {})
2025-03-21T20:26:24.3435998Z     %unsqueeze_22 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_6, -1), kwargs = {})
2025-03-21T20:26:24.3437022Z     %transpose_125 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.3438173Z     %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 = {})
2025-03-21T20:26:24.3439245Z     %transpose_126 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.3440127Z     %squeeze_22 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_126, -1), kwargs = {})
2025-03-21T20:26:24.3441014Z     %unsqueeze_23 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_6, -1), kwargs = {})
2025-03-21T20:26:24.3441936Z     %transpose_127 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.3443087Z     %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 = {})
2025-03-21T20:26:24.3444150Z     %transpose_128 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.3445028Z     %squeeze_23 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_128, -1), kwargs = {})
2025-03-21T20:26:24.3445896Z     %view_36 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_21, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3446772Z     %view_37 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_22, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3447650Z     %view_38 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_23, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3448559Z     %_to_copy_6 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_36,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3449476Z     %view_39 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_6, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3450320Z     %unbind_6 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_39, -1), kwargs = {})
2025-03-21T20:26:24.3451090Z     %getitem_12 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_6, 0), kwargs = {})
2025-03-21T20:26:24.3451833Z     %getitem_13 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_6, 1), kwargs = {})
2025-03-21T20:26:24.3452674Z     %_to_copy_7 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_37,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3453591Z     %view_40 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_7, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3454439Z     %unbind_7 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_40, -1), kwargs = {})
2025-03-21T20:26:24.3455219Z     %getitem_14 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_7, 0), kwargs = {})
2025-03-21T20:26:24.3455970Z     %getitem_15 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_7, 1), kwargs = {})
2025-03-21T20:26:24.3456776Z     %view_41 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3457638Z     %view_42 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3458490Z     %mul_30 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_12, %view_41), kwargs = {})
2025-03-21T20:26:24.3459323Z     %mul_31 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_13, %view_42), kwargs = {})
2025-03-21T20:26:24.3460229Z     %sub_6 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_30, %mul_31), kwargs = {})
2025-03-21T20:26:24.3461043Z     %mul_32 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_12, %view_42), kwargs = {})
2025-03-21T20:26:24.3461876Z     %mul_33 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_13, %view_41), kwargs = {})
2025-03-21T20:26:24.3462695Z     %add_15 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_32, %mul_33), kwargs = {})
2025-03-21T20:26:24.3463512Z     %mul_34 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_14, %view_41), kwargs = {})
2025-03-21T20:26:24.3464346Z     %mul_35 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_15, %view_42), kwargs = {})
2025-03-21T20:26:24.3465163Z     %sub_7 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_34, %mul_35), kwargs = {})
2025-03-21T20:26:24.3465977Z     %mul_36 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_14, %view_42), kwargs = {})
2025-03-21T20:26:24.3466813Z     %mul_37 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_15, %view_41), kwargs = {})
2025-03-21T20:26:24.3467631Z     %add_16 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_36, %mul_37), kwargs = {})
2025-03-21T20:26:24.3468476Z     %stack_6 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_6, %add_15], -1), kwargs = {})
2025-03-21T20:26:24.3469358Z     %view_43 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_6, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3470235Z     %stack_7 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_7, %add_16], -1), kwargs = {})
2025-03-21T20:26:24.3471120Z     %view_44 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_7, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3471997Z     %type_as_6 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_43, %view_36), kwargs = {})
2025-03-21T20:26:24.3472852Z     %type_as_7 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_44, %view_37), kwargs = {})
2025-03-21T20:26:24.3473745Z     %transpose_129 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3474971Z     %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 = {})
2025-03-21T20:26:24.3476497Z     %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 = {})
2025-03-21T20:26:24.3477726Z     %transpose_130 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3478623Z     %select_144 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_130, 0, 0), kwargs = {})
2025-03-21T20:26:24.3479488Z     %select_145 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_144, 0, 0), kwargs = {})
2025-03-21T20:26:24.3480381Z     %transpose_131 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3481268Z     %select_146 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_131, 0, 0), kwargs = {})
2025-03-21T20:26:24.3482123Z     %select_147 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_146, 0, 1), kwargs = {})
2025-03-21T20:26:24.3483142Z     %transpose_132 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3484159Z     %select_148 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_132, 0, 0), kwargs = {})
2025-03-21T20:26:24.3485016Z     %select_149 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_148, 0, 2), kwargs = {})
2025-03-21T20:26:24.3485900Z     %transpose_133 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3486795Z     %select_150 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_133, 0, 0), kwargs = {})
2025-03-21T20:26:24.3487655Z     %select_151 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_150, 0, 3), kwargs = {})
2025-03-21T20:26:24.3488525Z     %transpose_134 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3489427Z     %select_152 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_134, 0, 0), kwargs = {})
2025-03-21T20:26:24.3490287Z     %select_153 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_152, 0, 4), kwargs = {})
2025-03-21T20:26:24.3491176Z     %transpose_135 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3492069Z     %select_154 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_135, 0, 0), kwargs = {})
2025-03-21T20:26:24.3492928Z     %select_155 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_154, 0, 5), kwargs = {})
2025-03-21T20:26:24.3493813Z     %transpose_136 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3494698Z     %select_156 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_136, 0, 0), kwargs = {})
2025-03-21T20:26:24.3495558Z     %select_157 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_156, 0, 6), kwargs = {})
2025-03-21T20:26:24.3496442Z     %transpose_137 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3497333Z     %select_158 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_137, 0, 0), kwargs = {})
2025-03-21T20:26:24.3498194Z     %select_159 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_158, 0, 7), kwargs = {})
2025-03-21T20:26:24.3499073Z     %transpose_138 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3499968Z     %select_160 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_138, 0, 0), kwargs = {})
2025-03-21T20:26:24.3500820Z     %select_161 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_160, 0, 8), kwargs = {})
2025-03-21T20:26:24.3501709Z     %transpose_139 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3502602Z     %select_162 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_139, 0, 0), kwargs = {})
2025-03-21T20:26:24.3503459Z     %select_163 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_162, 0, 9), kwargs = {})
2025-03-21T20:26:24.3504345Z     %transpose_140 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3505243Z     %select_164 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_140, 0, 0), kwargs = {})
2025-03-21T20:26:24.3506103Z     %select_165 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_164, 0, 10), kwargs = {})
2025-03-21T20:26:24.3507097Z     %transpose_141 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_6, 1, 2), kwargs = {})
2025-03-21T20:26:24.3507980Z     %select_166 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_141, 0, 0), kwargs = {})
2025-03-21T20:26:24.3508838Z     %select_167 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_166, 0, 11), kwargs = {})
2025-03-21T20:26:24.3510085Z     %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 = {})
2025-03-21T20:26:24.3511343Z     %view_45 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_6, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3512244Z     %transpose_142 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3513147Z     %select_168 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_142, 0, 0), kwargs = {})
2025-03-21T20:26:24.3514007Z     %select_169 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_168, 0, 0), kwargs = {})
2025-03-21T20:26:24.3514889Z     %transpose_143 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3515770Z     %select_170 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_143, 0, 0), kwargs = {})
2025-03-21T20:26:24.3516625Z     %select_171 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_170, 0, 1), kwargs = {})
2025-03-21T20:26:24.3517809Z     %transpose_144 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3518710Z     %select_172 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_144, 0, 0), kwargs = {})
2025-03-21T20:26:24.3519566Z     %select_173 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_172, 0, 2), kwargs = {})
2025-03-21T20:26:24.3520448Z     %transpose_145 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3521344Z     %select_174 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_145, 0, 0), kwargs = {})
2025-03-21T20:26:24.3522201Z     %select_175 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_174, 0, 3), kwargs = {})
2025-03-21T20:26:24.3523139Z     %transpose_146 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3524037Z     %select_176 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_146, 0, 0), kwargs = {})
2025-03-21T20:26:24.3525070Z     %select_177 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_176, 0, 4), kwargs = {})
2025-03-21T20:26:24.3525954Z     %transpose_147 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3526849Z     %select_178 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_147, 0, 0), kwargs = {})
2025-03-21T20:26:24.3527705Z     %select_179 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_178, 0, 5), kwargs = {})
2025-03-21T20:26:24.3528590Z     %transpose_148 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3529476Z     %select_180 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_148, 0, 0), kwargs = {})
2025-03-21T20:26:24.3530445Z     %select_181 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_180, 0, 6), kwargs = {})
2025-03-21T20:26:24.3531395Z     %transpose_149 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3532293Z     %select_182 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_149, 0, 0), kwargs = {})
2025-03-21T20:26:24.3533152Z     %select_183 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_182, 0, 7), kwargs = {})
2025-03-21T20:26:24.3534039Z     %transpose_150 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3534935Z     %select_184 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_150, 0, 0), kwargs = {})
2025-03-21T20:26:24.3535779Z     %select_185 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_184, 0, 8), kwargs = {})
2025-03-21T20:26:24.3536675Z     %transpose_151 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3537567Z     %select_186 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_151, 0, 0), kwargs = {})
2025-03-21T20:26:24.3538424Z     %select_187 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_186, 0, 9), kwargs = {})
2025-03-21T20:26:24.3539308Z     %transpose_152 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3540190Z     %select_188 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_152, 0, 0), kwargs = {})
2025-03-21T20:26:24.3541044Z     %select_189 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_188, 0, 10), kwargs = {})
2025-03-21T20:26:24.3541930Z     %transpose_153 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3542816Z     %select_190 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_153, 0, 0), kwargs = {})
2025-03-21T20:26:24.3543671Z     %select_191 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_190, 0, 11), kwargs = {})
2025-03-21T20:26:24.3544915Z     %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 = {})
2025-03-21T20:26:24.3546164Z     %view_46 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_7, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3547214Z     %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 = {})
2025-03-21T20:26:24.3548291Z     %transpose_154 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_45, -2, -1), kwargs = {})
2025-03-21T20:26:24.3549227Z     %matmul_6 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_129, %transpose_154), kwargs = {})
2025-03-21T20:26:24.3550110Z     %mul_38 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_6, 0.125), kwargs = {})
2025-03-21T20:26:24.3550904Z     %add_17 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_38, %index_5), kwargs = {})
2025-03-21T20:26:24.3551711Z     %softmax_3 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_17, -1), kwargs = {})
2025-03-21T20:26:24.3552561Z     %matmul_7 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_3, %view_46), kwargs = {})
2025-03-21T20:26:24.3553579Z     %transpose_155 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_7, 1, 2), kwargs = {})
2025-03-21T20:26:24.3554538Z     %view_47 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_155, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.3555439Z     %unsqueeze_24 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_47, -1), kwargs = {})
2025-03-21T20:26:24.3556353Z     %transpose_156 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_24, 1, 2), kwargs = {})
2025-03-21T20:26:24.3557443Z     %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 = {})
2025-03-21T20:26:24.3558509Z     %transpose_157 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_24, 1, 2), kwargs = {})
2025-03-21T20:26:24.3559391Z     %squeeze_24 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_157, -1), kwargs = {})
2025-03-21T20:26:24.3560241Z     %add_18 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_14, %squeeze_24), kwargs = {})
2025-03-21T20:26:24.3561430Z     %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 = {})
2025-03-21T20:26:24.3562571Z     %unsqueeze_25 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_7, -1), kwargs = {})
2025-03-21T20:26:24.3563500Z     %transpose_158 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_25, 1, 2), kwargs = {})
2025-03-21T20:26:24.3564977Z     %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 = {})
2025-03-21T20:26:24.3566162Z     %transpose_159 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_25, 1, 2), kwargs = {})
2025-03-21T20:26:24.3567049Z     %squeeze_25 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_159, -1), kwargs = {})
2025-03-21T20:26:24.3567883Z     %silu_3 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_25,), kwargs = {})
2025-03-21T20:26:24.3568750Z     %unsqueeze_26 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_7, -1), kwargs = {})
2025-03-21T20:26:24.3569709Z     %transpose_160 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_26, 1, 2), kwargs = {})
2025-03-21T20:26:24.3570862Z     %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 = {})
2025-03-21T20:26:24.3571945Z     %transpose_161 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_26, 1, 2), kwargs = {})
2025-03-21T20:26:24.3572837Z     %squeeze_26 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_161, -1), kwargs = {})
2025-03-21T20:26:24.3573683Z     %mul_39 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_3, %squeeze_26), kwargs = {})
2025-03-21T20:26:24.3574527Z     %unsqueeze_27 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_39, -1), kwargs = {})
2025-03-21T20:26:24.3575433Z     %transpose_162 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_27, 1, 2), kwargs = {})
2025-03-21T20:26:24.3576642Z     %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 = {})
2025-03-21T20:26:24.3577820Z     %transpose_163 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_27, 1, 2), kwargs = {})
2025-03-21T20:26:24.3578874Z     %squeeze_27 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_163, -1), kwargs = {})
2025-03-21T20:26:24.3579718Z     %add_19 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_18, %squeeze_27), kwargs = {})
2025-03-21T20:26:24.3580741Z     %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 = {})
2025-03-21T20:26:24.3581816Z     %unsqueeze_28 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_8, -1), kwargs = {})
2025-03-21T20:26:24.3582733Z     %transpose_164 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_28, 1, 2), kwargs = {})
2025-03-21T20:26:24.3583820Z     %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 = {})
2025-03-21T20:26:24.3584900Z     %transpose_165 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_28, 1, 2), kwargs = {})
2025-03-21T20:26:24.3585782Z     %squeeze_28 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_165, -1), kwargs = {})
2025-03-21T20:26:24.3586682Z     %unsqueeze_29 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_8, -1), kwargs = {})
2025-03-21T20:26:24.3587683Z     %transpose_166 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_29, 1, 2), kwargs = {})
2025-03-21T20:26:24.3588807Z     %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 = {})
2025-03-21T20:26:24.3589877Z     %transpose_167 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_29, 1, 2), kwargs = {})
2025-03-21T20:26:24.3590761Z     %squeeze_29 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_167, -1), kwargs = {})
2025-03-21T20:26:24.3591657Z     %unsqueeze_30 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_8, -1), kwargs = {})
2025-03-21T20:26:24.3592578Z     %transpose_168 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_30, 1, 2), kwargs = {})
2025-03-21T20:26:24.3593662Z     %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 = {})
2025-03-21T20:26:24.3594736Z     %transpose_169 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_30, 1, 2), kwargs = {})
2025-03-21T20:26:24.3595617Z     %squeeze_30 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_169, -1), kwargs = {})
2025-03-21T20:26:24.3596504Z     %view_48 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_28, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3597388Z     %view_49 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_29, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3598257Z     %view_50 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_30, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3599175Z     %_to_copy_8 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_48,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3600101Z     %view_51 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_8, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3600953Z     %unbind_8 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_51, -1), kwargs = {})
2025-03-21T20:26:24.3601790Z     %getitem_16 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_8, 0), kwargs = {})
2025-03-21T20:26:24.3602665Z     %getitem_17 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_8, 1), kwargs = {})
2025-03-21T20:26:24.3603515Z     %_to_copy_9 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_49,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3604431Z     %view_52 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_9, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3605290Z     %unbind_9 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_52, -1), kwargs = {})
2025-03-21T20:26:24.3606067Z     %getitem_18 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_9, 0), kwargs = {})
2025-03-21T20:26:24.3606811Z     %getitem_19 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_9, 1), kwargs = {})
2025-03-21T20:26:24.3607615Z     %view_53 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3608471Z     %view_54 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3609315Z     %mul_40 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_16, %view_53), kwargs = {})
2025-03-21T20:26:24.3610136Z     %mul_41 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_17, %view_54), kwargs = {})
2025-03-21T20:26:24.3610939Z     %sub_8 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_40, %mul_41), kwargs = {})
2025-03-21T20:26:24.3611743Z     %mul_42 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_16, %view_54), kwargs = {})
2025-03-21T20:26:24.3612562Z     %mul_43 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_17, %view_53), kwargs = {})
2025-03-21T20:26:24.3613376Z     %add_20 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_42, %mul_43), kwargs = {})
2025-03-21T20:26:24.3614176Z     %mul_44 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_18, %view_53), kwargs = {})
2025-03-21T20:26:24.3614997Z     %mul_45 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_19, %view_54), kwargs = {})
2025-03-21T20:26:24.3615802Z     %sub_9 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_44, %mul_45), kwargs = {})
2025-03-21T20:26:24.3616593Z     %mul_46 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_18, %view_54), kwargs = {})
2025-03-21T20:26:24.3617413Z     %mul_47 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_19, %view_53), kwargs = {})
2025-03-21T20:26:24.3618219Z     %add_21 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_46, %mul_47), kwargs = {})
2025-03-21T20:26:24.3619064Z     %stack_8 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_8, %add_20], -1), kwargs = {})
2025-03-21T20:26:24.3619929Z     %view_55 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_8, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3620797Z     %stack_9 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_9, %add_21], -1), kwargs = {})
2025-03-21T20:26:24.3621661Z     %view_56 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_9, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3622515Z     %type_as_8 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_55, %view_48), kwargs = {})
2025-03-21T20:26:24.3623367Z     %type_as_9 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_56, %view_49), kwargs = {})
2025-03-21T20:26:24.3624476Z     %transpose_170 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3625803Z     %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 = {})
2025-03-21T20:26:24.3627329Z     %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 = {})
2025-03-21T20:26:24.3628537Z     %transpose_171 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3629431Z     %select_192 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_171, 0, 0), kwargs = {})
2025-03-21T20:26:24.3630287Z     %select_193 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_192, 0, 0), kwargs = {})
2025-03-21T20:26:24.3631165Z     %transpose_172 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3632052Z     %select_194 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_172, 0, 0), kwargs = {})
2025-03-21T20:26:24.3632903Z     %select_195 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_194, 0, 1), kwargs = {})
2025-03-21T20:26:24.3633778Z     %transpose_173 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3634666Z     %select_196 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_173, 0, 0), kwargs = {})
2025-03-21T20:26:24.3635518Z     %select_197 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_196, 0, 2), kwargs = {})
2025-03-21T20:26:24.3636425Z     %transpose_174 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3637315Z     %select_198 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_174, 0, 0), kwargs = {})
2025-03-21T20:26:24.3638155Z     %select_199 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_198, 0, 3), kwargs = {})
2025-03-21T20:26:24.3639035Z     %transpose_175 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3639918Z     %select_200 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_175, 0, 0), kwargs = {})
2025-03-21T20:26:24.3640766Z     %select_201 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_200, 0, 4), kwargs = {})
2025-03-21T20:26:24.3641650Z     %transpose_176 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3642602Z     %select_202 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_176, 0, 0), kwargs = {})
2025-03-21T20:26:24.3643455Z     %select_203 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_202, 0, 5), kwargs = {})
2025-03-21T20:26:24.3644323Z     %transpose_177 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3645211Z     %select_204 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_177, 0, 0), kwargs = {})
2025-03-21T20:26:24.3646057Z     %select_205 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_204, 0, 6), kwargs = {})
2025-03-21T20:26:24.3646934Z     %transpose_178 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3647900Z     %select_206 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_178, 0, 0), kwargs = {})
2025-03-21T20:26:24.3648824Z     %select_207 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_206, 0, 7), kwargs = {})
2025-03-21T20:26:24.3649705Z     %transpose_179 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3650585Z     %select_208 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_179, 0, 0), kwargs = {})
2025-03-21T20:26:24.3651440Z     %select_209 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_208, 0, 8), kwargs = {})
2025-03-21T20:26:24.3652323Z     %transpose_180 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3653220Z     %select_210 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_180, 0, 0), kwargs = {})
2025-03-21T20:26:24.3654077Z     %select_211 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_210, 0, 9), kwargs = {})
2025-03-21T20:26:24.3654956Z     %transpose_181 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3655847Z     %select_212 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_181, 0, 0), kwargs = {})
2025-03-21T20:26:24.3656705Z     %select_213 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_212, 0, 10), kwargs = {})
2025-03-21T20:26:24.3657578Z     %transpose_182 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_8, 1, 2), kwargs = {})
2025-03-21T20:26:24.3658463Z     %select_214 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_182, 0, 0), kwargs = {})
2025-03-21T20:26:24.3659313Z     %select_215 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_214, 0, 11), kwargs = {})
2025-03-21T20:26:24.3660566Z     %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 = {})
2025-03-21T20:26:24.3661822Z     %view_57 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_8, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3662711Z     %transpose_183 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3663600Z     %select_216 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_183, 0, 0), kwargs = {})
2025-03-21T20:26:24.3664452Z     %select_217 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_216, 0, 0), kwargs = {})
2025-03-21T20:26:24.3665327Z     %transpose_184 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3666216Z     %select_218 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_184, 0, 0), kwargs = {})
2025-03-21T20:26:24.3667066Z     %select_219 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_218, 0, 1), kwargs = {})
2025-03-21T20:26:24.3667943Z     %transpose_185 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3668925Z     %select_220 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_185, 0, 0), kwargs = {})
2025-03-21T20:26:24.3669775Z     %select_221 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_220, 0, 2), kwargs = {})
2025-03-21T20:26:24.3670654Z     %transpose_186 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3671647Z     %select_222 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_186, 0, 0), kwargs = {})
2025-03-21T20:26:24.3672503Z     %select_223 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_222, 0, 3), kwargs = {})
2025-03-21T20:26:24.3673381Z     %transpose_187 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3674265Z     %select_224 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_187, 0, 0), kwargs = {})
2025-03-21T20:26:24.3675119Z     %select_225 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_224, 0, 4), kwargs = {})
2025-03-21T20:26:24.3675993Z     %transpose_188 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3676886Z     %select_226 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_188, 0, 0), kwargs = {})
2025-03-21T20:26:24.3677739Z     %select_227 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_226, 0, 5), kwargs = {})
2025-03-21T20:26:24.3678611Z     %transpose_189 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3679642Z     %select_228 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_189, 0, 0), kwargs = {})
2025-03-21T20:26:24.3680488Z     %select_229 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_228, 0, 6), kwargs = {})
2025-03-21T20:26:24.3681359Z     %transpose_190 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3682241Z     %select_230 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_190, 0, 0), kwargs = {})
2025-03-21T20:26:24.3683150Z     %select_231 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_230, 0, 7), kwargs = {})
2025-03-21T20:26:24.3684032Z     %transpose_191 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3684903Z     %select_232 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_191, 0, 0), kwargs = {})
2025-03-21T20:26:24.3685775Z     %select_233 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_232, 0, 8), kwargs = {})
2025-03-21T20:26:24.3686655Z     %transpose_192 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3687533Z     %select_234 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_192, 0, 0), kwargs = {})
2025-03-21T20:26:24.3688379Z     %select_235 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_234, 0, 9), kwargs = {})
2025-03-21T20:26:24.3689260Z     %transpose_193 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3690136Z     %select_236 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_193, 0, 0), kwargs = {})
2025-03-21T20:26:24.3690980Z     %select_237 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_236, 0, 10), kwargs = {})
2025-03-21T20:26:24.3691849Z     %transpose_194 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3692734Z     %select_238 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_194, 0, 0), kwargs = {})
2025-03-21T20:26:24.3693583Z     %select_239 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_238, 0, 11), kwargs = {})
2025-03-21T20:26:24.3694940Z     %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 = {})
2025-03-21T20:26:24.3696195Z     %view_58 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_9, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3697240Z     %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 = {})
2025-03-21T20:26:24.3698309Z     %transpose_195 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_57, -2, -1), kwargs = {})
2025-03-21T20:26:24.3699243Z     %matmul_8 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_170, %transpose_195), kwargs = {})
2025-03-21T20:26:24.3700121Z     %mul_48 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_8, 0.125), kwargs = {})
2025-03-21T20:26:24.3700936Z     %add_22 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_48, %index_6), kwargs = {})
2025-03-21T20:26:24.3701750Z     %softmax_4 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_22, -1), kwargs = {})
2025-03-21T20:26:24.3702589Z     %matmul_9 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_4, %view_58), kwargs = {})
2025-03-21T20:26:24.3703469Z     %transpose_196 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_9, 1, 2), kwargs = {})
2025-03-21T20:26:24.3704352Z     %view_59 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_196, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.3705246Z     %unsqueeze_31 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_59, -1), kwargs = {})
2025-03-21T20:26:24.3706154Z     %transpose_197 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_31, 1, 2), kwargs = {})
2025-03-21T20:26:24.3707247Z     %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 = {})
2025-03-21T20:26:24.3708308Z     %transpose_198 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_31, 1, 2), kwargs = {})
2025-03-21T20:26:24.3709189Z     %squeeze_31 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_198, -1), kwargs = {})
2025-03-21T20:26:24.3710017Z     %add_23 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_19, %squeeze_31), kwargs = {})
2025-03-21T20:26:24.3711030Z     %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 = {})
2025-03-21T20:26:24.3712094Z     %unsqueeze_32 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_9, -1), kwargs = {})
2025-03-21T20:26:24.3713017Z     %transpose_199 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_32, 1, 2), kwargs = {})
2025-03-21T20:26:24.3714113Z     %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 = {})
2025-03-21T20:26:24.3715201Z     %transpose_200 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_32, 1, 2), kwargs = {})
2025-03-21T20:26:24.3716078Z     %squeeze_32 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_200, -1), kwargs = {})
2025-03-21T20:26:24.3716917Z     %silu_4 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_32,), kwargs = {})
2025-03-21T20:26:24.3717827Z     %unsqueeze_33 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_9, -1), kwargs = {})
2025-03-21T20:26:24.3718794Z     %transpose_201 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_33, 1, 2), kwargs = {})
2025-03-21T20:26:24.3719898Z     %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 = {})
2025-03-21T20:26:24.3720990Z     %transpose_202 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_33, 1, 2), kwargs = {})
2025-03-21T20:26:24.3721875Z     %squeeze_33 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_202, -1), kwargs = {})
2025-03-21T20:26:24.3722775Z     %mul_49 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_4, %squeeze_33), kwargs = {})
2025-03-21T20:26:24.3723636Z     %unsqueeze_34 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_49, -1), kwargs = {})
2025-03-21T20:26:24.3724686Z     %transpose_203 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_34, 1, 2), kwargs = {})
2025-03-21T20:26:24.3725777Z     %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 = {})
2025-03-21T20:26:24.3726863Z     %transpose_204 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_34, 1, 2), kwargs = {})
2025-03-21T20:26:24.3727757Z     %squeeze_34 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_204, -1), kwargs = {})
2025-03-21T20:26:24.3728607Z     %add_24 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_23, %squeeze_34), kwargs = {})
2025-03-21T20:26:24.3729642Z     %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 = {})
2025-03-21T20:26:24.3730736Z     %unsqueeze_35 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_10, -1), kwargs = {})
2025-03-21T20:26:24.3731667Z     %transpose_205 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_35, 1, 2), kwargs = {})
2025-03-21T20:26:24.3732757Z     %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 = {})
2025-03-21T20:26:24.3733822Z     %transpose_206 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_35, 1, 2), kwargs = {})
2025-03-21T20:26:24.3734708Z     %squeeze_35 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_206, -1), kwargs = {})
2025-03-21T20:26:24.3735616Z     %unsqueeze_36 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_10, -1), kwargs = {})
2025-03-21T20:26:24.3736551Z     %transpose_207 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_36, 1, 2), kwargs = {})
2025-03-21T20:26:24.3737634Z     %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 = {})
2025-03-21T20:26:24.3738702Z     %transpose_208 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_36, 1, 2), kwargs = {})
2025-03-21T20:26:24.3739583Z     %squeeze_36 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_208, -1), kwargs = {})
2025-03-21T20:26:24.3740484Z     %unsqueeze_37 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_10, -1), kwargs = {})
2025-03-21T20:26:24.3741401Z     %transpose_209 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_37, 1, 2), kwargs = {})
2025-03-21T20:26:24.3742666Z     %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 = {})
2025-03-21T20:26:24.3743745Z     %transpose_210 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_37, 1, 2), kwargs = {})
2025-03-21T20:26:24.3744633Z     %squeeze_37 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_210, -1), kwargs = {})
2025-03-21T20:26:24.3745513Z     %view_60 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_35, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3746406Z     %view_61 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_36, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3747292Z     %view_62 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_37, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3748221Z     %_to_copy_10 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_60,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3749145Z     %view_63 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_10, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3750011Z     %unbind_10 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_63, -1), kwargs = {})
2025-03-21T20:26:24.3750793Z     %getitem_20 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_10, 0), kwargs = {})
2025-03-21T20:26:24.3751545Z     %getitem_21 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_10, 1), kwargs = {})
2025-03-21T20:26:24.3752398Z     %_to_copy_11 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_61,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3753324Z     %view_64 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_11, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3754186Z     %unbind_11 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_64, -1), kwargs = {})
2025-03-21T20:26:24.3754960Z     %getitem_22 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_11, 0), kwargs = {})
2025-03-21T20:26:24.3755714Z     %getitem_23 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_11, 1), kwargs = {})
2025-03-21T20:26:24.3756521Z     %view_65 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3757382Z     %view_66 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3758232Z     %mul_50 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_20, %view_65), kwargs = {})
2025-03-21T20:26:24.3759069Z     %mul_51 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_21, %view_66), kwargs = {})
2025-03-21T20:26:24.3759881Z     %sub_10 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_50, %mul_51), kwargs = {})
2025-03-21T20:26:24.3760757Z     %mul_52 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_20, %view_66), kwargs = {})
2025-03-21T20:26:24.3761587Z     %mul_53 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_21, %view_65), kwargs = {})
2025-03-21T20:26:24.3762392Z     %add_25 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_52, %mul_53), kwargs = {})
2025-03-21T20:26:24.3763273Z     %mul_54 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_22, %view_65), kwargs = {})
2025-03-21T20:26:24.3764094Z     %mul_55 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_23, %view_66), kwargs = {})
2025-03-21T20:26:24.3765023Z     %sub_11 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_54, %mul_55), kwargs = {})
2025-03-21T20:26:24.3765835Z     %mul_56 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_22, %view_66), kwargs = {})
2025-03-21T20:26:24.3766652Z     %mul_57 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_23, %view_65), kwargs = {})
2025-03-21T20:26:24.3767463Z     %add_26 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_56, %mul_57), kwargs = {})
2025-03-21T20:26:24.3768309Z     %stack_10 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_10, %add_25], -1), kwargs = {})
2025-03-21T20:26:24.3769191Z     %view_67 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_10, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3770072Z     %stack_11 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_11, %add_26], -1), kwargs = {})
2025-03-21T20:26:24.3770961Z     %view_68 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_11, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3771834Z     %type_as_10 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_67, %view_60), kwargs = {})
2025-03-21T20:26:24.3772700Z     %type_as_11 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_68, %view_61), kwargs = {})
2025-03-21T20:26:24.3773573Z     %transpose_211 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3774804Z     %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 = {})
2025-03-21T20:26:24.3776346Z     %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 = {})
2025-03-21T20:26:24.3777572Z     %transpose_212 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3778471Z     %select_240 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_212, 0, 0), kwargs = {})
2025-03-21T20:26:24.3779331Z     %select_241 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_240, 0, 0), kwargs = {})
2025-03-21T20:26:24.3780219Z     %transpose_213 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3781120Z     %select_242 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_213, 0, 0), kwargs = {})
2025-03-21T20:26:24.3781970Z     %select_243 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_242, 0, 1), kwargs = {})
2025-03-21T20:26:24.3782863Z     %transpose_214 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3783757Z     %select_244 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_214, 0, 0), kwargs = {})
2025-03-21T20:26:24.3784613Z     %select_245 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_244, 0, 2), kwargs = {})
2025-03-21T20:26:24.3785497Z     %transpose_215 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3786388Z     %select_246 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_215, 0, 0), kwargs = {})
2025-03-21T20:26:24.3787245Z     %select_247 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_246, 0, 3), kwargs = {})
2025-03-21T20:26:24.3788232Z     %transpose_216 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3789114Z     %select_248 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_216, 0, 0), kwargs = {})
2025-03-21T20:26:24.3789965Z     %select_249 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_248, 0, 4), kwargs = {})
2025-03-21T20:26:24.3790849Z     %transpose_217 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3791736Z     %select_250 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_217, 0, 0), kwargs = {})
2025-03-21T20:26:24.3792584Z     %select_251 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_250, 0, 5), kwargs = {})
2025-03-21T20:26:24.3793463Z     %transpose_218 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3794360Z     %select_252 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_218, 0, 0), kwargs = {})
2025-03-21T20:26:24.3795205Z     %select_253 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_252, 0, 6), kwargs = {})
2025-03-21T20:26:24.3796091Z     %transpose_219 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3796985Z     %select_254 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_219, 0, 0), kwargs = {})
2025-03-21T20:26:24.3797829Z     %select_255 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_254, 0, 7), kwargs = {})
2025-03-21T20:26:24.3798709Z     %transpose_220 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3799605Z     %select_256 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_220, 0, 0), kwargs = {})
2025-03-21T20:26:24.3800459Z     %select_257 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_256, 0, 8), kwargs = {})
2025-03-21T20:26:24.3801333Z     %transpose_221 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3802221Z     %select_258 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_221, 0, 0), kwargs = {})
2025-03-21T20:26:24.3803151Z     %select_259 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_258, 0, 9), kwargs = {})
2025-03-21T20:26:24.3804034Z     %transpose_222 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3804933Z     %select_260 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_222, 0, 0), kwargs = {})
2025-03-21T20:26:24.3805802Z     %select_261 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_260, 0, 10), kwargs = {})
2025-03-21T20:26:24.3806688Z     %transpose_223 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_10, 1, 2), kwargs = {})
2025-03-21T20:26:24.3807576Z     %select_262 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_223, 0, 0), kwargs = {})
2025-03-21T20:26:24.3808424Z     %select_263 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_262, 0, 11), kwargs = {})
2025-03-21T20:26:24.3809670Z     %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 = {})
2025-03-21T20:26:24.3810986Z     %view_69 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_10, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3811945Z     %transpose_224 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3812845Z     %select_264 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_224, 0, 0), kwargs = {})
2025-03-21T20:26:24.3813710Z     %select_265 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_264, 0, 0), kwargs = {})
2025-03-21T20:26:24.3814598Z     %transpose_225 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3815490Z     %select_266 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_225, 0, 0), kwargs = {})
2025-03-21T20:26:24.3816333Z     %select_267 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_266, 0, 1), kwargs = {})
2025-03-21T20:26:24.3817226Z     %transpose_226 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3818121Z     %select_268 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_226, 0, 0), kwargs = {})
2025-03-21T20:26:24.3818969Z     %select_269 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_268, 0, 2), kwargs = {})
2025-03-21T20:26:24.3819851Z     %transpose_227 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3820744Z     %select_270 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_227, 0, 0), kwargs = {})
2025-03-21T20:26:24.3821595Z     %select_271 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_270, 0, 3), kwargs = {})
2025-03-21T20:26:24.3822470Z     %transpose_228 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3823369Z     %select_272 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_228, 0, 0), kwargs = {})
2025-03-21T20:26:24.3824217Z     %select_273 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_272, 0, 4), kwargs = {})
2025-03-21T20:26:24.3825251Z     %transpose_229 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3826147Z     %select_274 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_229, 0, 0), kwargs = {})
2025-03-21T20:26:24.3827000Z     %select_275 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_274, 0, 5), kwargs = {})
2025-03-21T20:26:24.3827888Z     %transpose_230 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3828784Z     %select_276 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_230, 0, 0), kwargs = {})
2025-03-21T20:26:24.3829627Z     %select_277 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_276, 0, 6), kwargs = {})
2025-03-21T20:26:24.3830515Z     %transpose_231 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3831403Z     %select_278 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_231, 0, 0), kwargs = {})
2025-03-21T20:26:24.3832252Z     %select_279 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_278, 0, 7), kwargs = {})
2025-03-21T20:26:24.3833138Z     %transpose_232 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3834026Z     %select_280 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_232, 0, 0), kwargs = {})
2025-03-21T20:26:24.3835051Z     %select_281 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_280, 0, 8), kwargs = {})
2025-03-21T20:26:24.3835928Z     %transpose_233 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3836821Z     %select_282 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_233, 0, 0), kwargs = {})
2025-03-21T20:26:24.3837678Z     %select_283 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_282, 0, 9), kwargs = {})
2025-03-21T20:26:24.3838563Z     %transpose_234 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3839455Z     %select_284 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_234, 0, 0), kwargs = {})
2025-03-21T20:26:24.3840318Z     %select_285 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_284, 0, 10), kwargs = {})
2025-03-21T20:26:24.3841212Z     %transpose_235 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3842104Z     %select_286 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_235, 0, 0), kwargs = {})
2025-03-21T20:26:24.3843024Z     %select_287 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_286, 0, 11), kwargs = {})
2025-03-21T20:26:24.3844266Z     %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 = {})
2025-03-21T20:26:24.3845517Z     %view_70 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_11, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3846583Z     %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 = {})
2025-03-21T20:26:24.3847655Z     %transpose_236 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_69, -2, -1), kwargs = {})
2025-03-21T20:26:24.3848594Z     %matmul_10 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_211, %transpose_236), kwargs = {})
2025-03-21T20:26:24.3849499Z     %mul_58 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_10, 0.125), kwargs = {})
2025-03-21T20:26:24.3850311Z     %add_27 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_58, %index_7), kwargs = {})
2025-03-21T20:26:24.3851122Z     %softmax_5 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_27, -1), kwargs = {})
2025-03-21T20:26:24.3851998Z     %matmul_11 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_5, %view_70), kwargs = {})
2025-03-21T20:26:24.3852917Z     %transpose_237 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_11, 1, 2), kwargs = {})
2025-03-21T20:26:24.3853824Z     %view_71 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_237, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.3854734Z     %unsqueeze_38 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_71, -1), kwargs = {})
2025-03-21T20:26:24.3855659Z     %transpose_238 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_38, 1, 2), kwargs = {})
2025-03-21T20:26:24.3856762Z     %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 = {})
2025-03-21T20:26:24.3857906Z     %transpose_239 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_38, 1, 2), kwargs = {})
2025-03-21T20:26:24.3858907Z     %squeeze_38 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_239, -1), kwargs = {})
2025-03-21T20:26:24.3859765Z     %add_28 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_24, %squeeze_38), kwargs = {})
2025-03-21T20:26:24.3860791Z     %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 = {})
2025-03-21T20:26:24.3861867Z     %unsqueeze_39 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_11, -1), kwargs = {})
2025-03-21T20:26:24.3862805Z     %transpose_240 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_39, 1, 2), kwargs = {})
2025-03-21T20:26:24.3863915Z     %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 = {})
2025-03-21T20:26:24.3865018Z     %transpose_241 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_39, 1, 2), kwargs = {})
2025-03-21T20:26:24.3865917Z     %squeeze_39 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_241, -1), kwargs = {})
2025-03-21T20:26:24.3866747Z     %silu_5 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_39,), kwargs = {})
2025-03-21T20:26:24.3867622Z     %unsqueeze_40 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_11, -1), kwargs = {})
2025-03-21T20:26:24.3868558Z     %transpose_242 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_40, 1, 2), kwargs = {})
2025-03-21T20:26:24.3869664Z     %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 = {})
2025-03-21T20:26:24.3870759Z     %transpose_243 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_40, 1, 2), kwargs = {})
2025-03-21T20:26:24.3871646Z     %squeeze_40 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_243, -1), kwargs = {})
2025-03-21T20:26:24.3872493Z     %mul_59 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_5, %squeeze_40), kwargs = {})
2025-03-21T20:26:24.3873344Z     %unsqueeze_41 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_59, -1), kwargs = {})
2025-03-21T20:26:24.3874258Z     %transpose_244 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_41, 1, 2), kwargs = {})
2025-03-21T20:26:24.3875360Z     %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 = {})
2025-03-21T20:26:24.3876456Z     %transpose_245 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_41, 1, 2), kwargs = {})
2025-03-21T20:26:24.3877346Z     %squeeze_41 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_245, -1), kwargs = {})
2025-03-21T20:26:24.3878193Z     %add_29 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_28, %squeeze_41), kwargs = {})
2025-03-21T20:26:24.3879235Z     %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 = {})
2025-03-21T20:26:24.3880323Z     %unsqueeze_42 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_12, -1), kwargs = {})
2025-03-21T20:26:24.3881243Z     %transpose_246 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_42, 1, 2), kwargs = {})
2025-03-21T20:26:24.3882496Z     %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 = {})
2025-03-21T20:26:24.3883583Z     %transpose_247 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_42, 1, 2), kwargs = {})
2025-03-21T20:26:24.3884512Z     %squeeze_42 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_247, -1), kwargs = {})
2025-03-21T20:26:24.3885423Z     %unsqueeze_43 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_12, -1), kwargs = {})
2025-03-21T20:26:24.3886354Z     %transpose_248 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_43, 1, 2), kwargs = {})
2025-03-21T20:26:24.3887442Z     %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 = {})
2025-03-21T20:26:24.3888532Z     %transpose_249 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_43, 1, 2), kwargs = {})
2025-03-21T20:26:24.3889426Z     %squeeze_43 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_249, -1), kwargs = {})
2025-03-21T20:26:24.3890322Z     %unsqueeze_44 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_12, -1), kwargs = {})
2025-03-21T20:26:24.3891256Z     %transpose_250 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_44, 1, 2), kwargs = {})
2025-03-21T20:26:24.3892350Z     %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 = {})
2025-03-21T20:26:24.3893427Z     %transpose_251 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_44, 1, 2), kwargs = {})
2025-03-21T20:26:24.3894327Z     %squeeze_44 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_251, -1), kwargs = {})
2025-03-21T20:26:24.3895217Z     %view_72 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_42, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3896114Z     %view_73 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_43, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3896989Z     %view_74 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_44, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3897916Z     %_to_copy_12 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_72,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3898858Z     %view_75 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_12, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3899724Z     %unbind_12 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_75, -1), kwargs = {})
2025-03-21T20:26:24.3900517Z     %getitem_24 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_12, 0), kwargs = {})
2025-03-21T20:26:24.3901275Z     %getitem_25 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_12, 1), kwargs = {})
2025-03-21T20:26:24.3902134Z     %_to_copy_13 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_73,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.3903068Z     %view_76 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_13, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.3903923Z     %unbind_13 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_76, -1), kwargs = {})
2025-03-21T20:26:24.3904709Z     %getitem_26 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_13, 0), kwargs = {})
2025-03-21T20:26:24.3905590Z     %getitem_27 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_13, 1), kwargs = {})
2025-03-21T20:26:24.3906405Z     %view_77 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3907270Z     %view_78 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.3908120Z     %mul_60 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_24, %view_77), kwargs = {})
2025-03-21T20:26:24.3908954Z     %mul_61 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_25, %view_78), kwargs = {})
2025-03-21T20:26:24.3909756Z     %sub_12 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_60, %mul_61), kwargs = {})
2025-03-21T20:26:24.3910657Z     %mul_62 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_24, %view_78), kwargs = {})
2025-03-21T20:26:24.3911496Z     %mul_63 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_25, %view_77), kwargs = {})
2025-03-21T20:26:24.3912310Z     %add_30 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_62, %mul_63), kwargs = {})
2025-03-21T20:26:24.3913123Z     %mul_64 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_26, %view_77), kwargs = {})
2025-03-21T20:26:24.3913953Z     %mul_65 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_27, %view_78), kwargs = {})
2025-03-21T20:26:24.3914766Z     %sub_13 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_64, %mul_65), kwargs = {})
2025-03-21T20:26:24.3915568Z     %mul_66 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_26, %view_78), kwargs = {})
2025-03-21T20:26:24.3916392Z     %mul_67 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_27, %view_77), kwargs = {})
2025-03-21T20:26:24.3917216Z     %add_31 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_66, %mul_67), kwargs = {})
2025-03-21T20:26:24.3918064Z     %stack_12 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_12, %add_30], -1), kwargs = {})
2025-03-21T20:26:24.3918951Z     %view_79 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_12, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3919835Z     %stack_13 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_13, %add_31], -1), kwargs = {})
2025-03-21T20:26:24.3920721Z     %view_80 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_13, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.3921589Z     %type_as_12 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_79, %view_72), kwargs = {})
2025-03-21T20:26:24.3922528Z     %type_as_13 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_80, %view_73), kwargs = {})
2025-03-21T20:26:24.3923430Z     %transpose_252 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3924797Z     %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 = {})
2025-03-21T20:26:24.3926339Z     %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 = {})
2025-03-21T20:26:24.3927559Z     %transpose_253 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3936295Z     %select_288 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_253, 0, 0), kwargs = {})
2025-03-21T20:26:24.3937392Z     %select_289 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_288, 0, 0), kwargs = {})
2025-03-21T20:26:24.3938293Z     %transpose_254 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3939191Z     %select_290 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_254, 0, 0), kwargs = {})
2025-03-21T20:26:24.3940050Z     %select_291 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_290, 0, 1), kwargs = {})
2025-03-21T20:26:24.3940932Z     %transpose_255 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3941870Z     %select_292 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_255, 0, 0), kwargs = {})
2025-03-21T20:26:24.3942818Z     %select_293 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_292, 0, 2), kwargs = {})
2025-03-21T20:26:24.3943706Z     %transpose_256 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3944588Z     %select_294 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_256, 0, 0), kwargs = {})
2025-03-21T20:26:24.3945441Z     %select_295 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_294, 0, 3), kwargs = {})
2025-03-21T20:26:24.3946319Z     %transpose_257 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3947209Z     %select_296 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_257, 0, 0), kwargs = {})
2025-03-21T20:26:24.3948067Z     %select_297 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_296, 0, 4), kwargs = {})
2025-03-21T20:26:24.3948950Z     %transpose_258 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3949837Z     %select_298 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_258, 0, 0), kwargs = {})
2025-03-21T20:26:24.3950678Z     %select_299 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_298, 0, 5), kwargs = {})
2025-03-21T20:26:24.3951562Z     %transpose_259 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3952452Z     %select_300 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_259, 0, 0), kwargs = {})
2025-03-21T20:26:24.3953366Z     %select_301 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_300, 0, 6), kwargs = {})
2025-03-21T20:26:24.3954254Z     %transpose_260 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3955149Z     %select_302 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_260, 0, 0), kwargs = {})
2025-03-21T20:26:24.3956001Z     %select_303 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_302, 0, 7), kwargs = {})
2025-03-21T20:26:24.3956887Z     %transpose_261 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3957767Z     %select_304 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_261, 0, 0), kwargs = {})
2025-03-21T20:26:24.3958617Z     %select_305 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_304, 0, 8), kwargs = {})
2025-03-21T20:26:24.3959501Z     %transpose_262 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3960517Z     %select_306 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_262, 0, 0), kwargs = {})
2025-03-21T20:26:24.3961381Z     %select_307 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_306, 0, 9), kwargs = {})
2025-03-21T20:26:24.3962260Z     %transpose_263 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3963238Z     %select_308 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_263, 0, 0), kwargs = {})
2025-03-21T20:26:24.3964083Z     %select_309 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_308, 0, 10), kwargs = {})
2025-03-21T20:26:24.3964971Z     %transpose_264 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_12, 1, 2), kwargs = {})
2025-03-21T20:26:24.3965868Z     %select_310 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_264, 0, 0), kwargs = {})
2025-03-21T20:26:24.3966728Z     %select_311 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_310, 0, 11), kwargs = {})
2025-03-21T20:26:24.3967978Z     %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 = {})
2025-03-21T20:26:24.3969239Z     %view_81 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_12, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.3970143Z     %transpose_265 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3971032Z     %select_312 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_265, 0, 0), kwargs = {})
2025-03-21T20:26:24.3971887Z     %select_313 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_312, 0, 0), kwargs = {})
2025-03-21T20:26:24.3972765Z     %transpose_266 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3973655Z     %select_314 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_266, 0, 0), kwargs = {})
2025-03-21T20:26:24.3974506Z     %select_315 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_314, 0, 1), kwargs = {})
2025-03-21T20:26:24.3975392Z     %transpose_267 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3976282Z     %select_316 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_267, 0, 0), kwargs = {})
2025-03-21T20:26:24.3977136Z     %select_317 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_316, 0, 2), kwargs = {})
2025-03-21T20:26:24.3978024Z     %transpose_268 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3978902Z     %select_318 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_268, 0, 0), kwargs = {})
2025-03-21T20:26:24.3979753Z     %select_319 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_318, 0, 3), kwargs = {})
2025-03-21T20:26:24.3980635Z     %transpose_269 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3981521Z     %select_320 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_269, 0, 0), kwargs = {})
2025-03-21T20:26:24.3982373Z     %select_321 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_320, 0, 4), kwargs = {})
2025-03-21T20:26:24.3983312Z     %transpose_270 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3984255Z     %select_322 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_270, 0, 0), kwargs = {})
2025-03-21T20:26:24.3985099Z     %select_323 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_322, 0, 5), kwargs = {})
2025-03-21T20:26:24.3985978Z     %transpose_271 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3986873Z     %select_324 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_271, 0, 0), kwargs = {})
2025-03-21T20:26:24.3987723Z     %select_325 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_324, 0, 6), kwargs = {})
2025-03-21T20:26:24.3988602Z     %transpose_272 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3989495Z     %select_326 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_272, 0, 0), kwargs = {})
2025-03-21T20:26:24.3990346Z     %select_327 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_326, 0, 7), kwargs = {})
2025-03-21T20:26:24.3991213Z     %transpose_273 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3992101Z     %select_328 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_273, 0, 0), kwargs = {})
2025-03-21T20:26:24.3992956Z     %select_329 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_328, 0, 8), kwargs = {})
2025-03-21T20:26:24.3993835Z     %transpose_274 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3994732Z     %select_330 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_274, 0, 0), kwargs = {})
2025-03-21T20:26:24.3995587Z     %select_331 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_330, 0, 9), kwargs = {})
2025-03-21T20:26:24.3996471Z     %transpose_275 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3997360Z     %select_332 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_275, 0, 0), kwargs = {})
2025-03-21T20:26:24.3998206Z     %select_333 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_332, 0, 10), kwargs = {})
2025-03-21T20:26:24.3999094Z     %transpose_276 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.3999983Z     %select_334 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_276, 0, 0), kwargs = {})
2025-03-21T20:26:24.4000846Z     %select_335 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_334, 0, 11), kwargs = {})
2025-03-21T20:26:24.4002089Z     %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 = {})
2025-03-21T20:26:24.4003416Z     %view_82 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_13, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4004474Z     %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 = {})
2025-03-21T20:26:24.4005545Z     %transpose_277 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_81, -2, -1), kwargs = {})
2025-03-21T20:26:24.4006534Z     %matmul_12 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_252, %transpose_277), kwargs = {})
2025-03-21T20:26:24.4007487Z     %mul_68 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_12, 0.125), kwargs = {})
2025-03-21T20:26:24.4008289Z     %add_32 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_68, %index_8), kwargs = {})
2025-03-21T20:26:24.4009104Z     %softmax_6 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_32, -1), kwargs = {})
2025-03-21T20:26:24.4009962Z     %matmul_13 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_6, %view_82), kwargs = {})
2025-03-21T20:26:24.4010860Z     %transpose_278 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_13, 1, 2), kwargs = {})
2025-03-21T20:26:24.4011756Z     %view_83 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_278, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.4012661Z     %unsqueeze_45 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_83, -1), kwargs = {})
2025-03-21T20:26:24.4013563Z     %transpose_279 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_45, 1, 2), kwargs = {})
2025-03-21T20:26:24.4014648Z     %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 = {})
2025-03-21T20:26:24.4015732Z     %transpose_280 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_45, 1, 2), kwargs = {})
2025-03-21T20:26:24.4016617Z     %squeeze_45 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_280, -1), kwargs = {})
2025-03-21T20:26:24.4017460Z     %add_33 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_29, %squeeze_45), kwargs = {})
2025-03-21T20:26:24.4018477Z     %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 = {})
2025-03-21T20:26:24.4019551Z     %unsqueeze_46 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_13, -1), kwargs = {})
2025-03-21T20:26:24.4020478Z     %transpose_281 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_46, 1, 2), kwargs = {})
2025-03-21T20:26:24.4021566Z     %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 = {})
2025-03-21T20:26:24.4022649Z     %transpose_282 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_46, 1, 2), kwargs = {})
2025-03-21T20:26:24.4023532Z     %squeeze_46 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_282, -1), kwargs = {})
2025-03-21T20:26:24.4024675Z     %silu_6 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_46,), kwargs = {})
2025-03-21T20:26:24.4025602Z     %unsqueeze_47 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_13, -1), kwargs = {})
2025-03-21T20:26:24.4026534Z     %transpose_283 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_47, 1, 2), kwargs = {})
2025-03-21T20:26:24.4027632Z     %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 = {})
2025-03-21T20:26:24.4028717Z     %transpose_284 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_47, 1, 2), kwargs = {})
2025-03-21T20:26:24.4029592Z     %squeeze_47 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_284, -1), kwargs = {})
2025-03-21T20:26:24.4030611Z     %mul_69 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_6, %squeeze_47), kwargs = {})
2025-03-21T20:26:24.4031469Z     %unsqueeze_48 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_69, -1), kwargs = {})
2025-03-21T20:26:24.4032374Z     %transpose_285 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_48, 1, 2), kwargs = {})
2025-03-21T20:26:24.4033470Z     %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 = {})
2025-03-21T20:26:24.4034555Z     %transpose_286 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_48, 1, 2), kwargs = {})
2025-03-21T20:26:24.4035436Z     %squeeze_48 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_286, -1), kwargs = {})
2025-03-21T20:26:24.4036275Z     %add_34 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_33, %squeeze_48), kwargs = {})
2025-03-21T20:26:24.4037312Z     %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 = {})
2025-03-21T20:26:24.4038392Z     %unsqueeze_49 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_14, -1), kwargs = {})
2025-03-21T20:26:24.4039322Z     %transpose_287 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_49, 1, 2), kwargs = {})
2025-03-21T20:26:24.4040407Z     %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 = {})
2025-03-21T20:26:24.4041484Z     %transpose_288 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_49, 1, 2), kwargs = {})
2025-03-21T20:26:24.4042376Z     %squeeze_49 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_288, -1), kwargs = {})
2025-03-21T20:26:24.4043338Z     %unsqueeze_50 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_14, -1), kwargs = {})
2025-03-21T20:26:24.4044255Z     %transpose_289 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_50, 1, 2), kwargs = {})
2025-03-21T20:26:24.4045336Z     %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 = {})
2025-03-21T20:26:24.4046412Z     %transpose_290 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_50, 1, 2), kwargs = {})
2025-03-21T20:26:24.4047292Z     %squeeze_50 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_290, -1), kwargs = {})
2025-03-21T20:26:24.4048198Z     %unsqueeze_51 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_14, -1), kwargs = {})
2025-03-21T20:26:24.4049133Z     %transpose_291 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_51, 1, 2), kwargs = {})
2025-03-21T20:26:24.4050218Z     %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 = {})
2025-03-21T20:26:24.4051289Z     %transpose_292 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_51, 1, 2), kwargs = {})
2025-03-21T20:26:24.4052159Z     %squeeze_51 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_292, -1), kwargs = {})
2025-03-21T20:26:24.4053036Z     %view_84 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_49, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4053986Z     %view_85 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_50, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4054908Z     %view_86 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_51, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4055835Z     %_to_copy_14 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_84,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4056768Z     %view_87 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_14, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4057632Z     %unbind_14 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_87, -1), kwargs = {})
2025-03-21T20:26:24.4058420Z     %getitem_28 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_14, 0), kwargs = {})
2025-03-21T20:26:24.4059170Z     %getitem_29 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_14, 1), kwargs = {})
2025-03-21T20:26:24.4060020Z     %_to_copy_15 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_85,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4060949Z     %view_88 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_15, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4061807Z     %unbind_15 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_88, -1), kwargs = {})
2025-03-21T20:26:24.4062591Z     %getitem_30 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_15, 0), kwargs = {})
2025-03-21T20:26:24.4063343Z     %getitem_31 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_15, 1), kwargs = {})
2025-03-21T20:26:24.4064143Z     %view_89 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4065004Z     %view_90 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4065854Z     %mul_70 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_28, %view_89), kwargs = {})
2025-03-21T20:26:24.4066670Z     %mul_71 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_29, %view_90), kwargs = {})
2025-03-21T20:26:24.4067481Z     %sub_14 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_70, %mul_71), kwargs = {})
2025-03-21T20:26:24.4068290Z     %mul_72 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_28, %view_90), kwargs = {})
2025-03-21T20:26:24.4069113Z     %mul_73 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_29, %view_89), kwargs = {})
2025-03-21T20:26:24.4069919Z     %add_35 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_72, %mul_73), kwargs = {})
2025-03-21T20:26:24.4070731Z     %mul_74 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_30, %view_89), kwargs = {})
2025-03-21T20:26:24.4071554Z     %mul_75 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_31, %view_90), kwargs = {})
2025-03-21T20:26:24.4072349Z     %sub_15 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_74, %mul_75), kwargs = {})
2025-03-21T20:26:24.4073156Z     %mul_76 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_30, %view_90), kwargs = {})
2025-03-21T20:26:24.4073973Z     %mul_77 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_31, %view_89), kwargs = {})
2025-03-21T20:26:24.4074778Z     %add_36 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_76, %mul_77), kwargs = {})
2025-03-21T20:26:24.4075616Z     %stack_14 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_14, %add_35], -1), kwargs = {})
2025-03-21T20:26:24.4076551Z     %view_91 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_14, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4077478Z     %stack_15 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_15, %add_36], -1), kwargs = {})
2025-03-21T20:26:24.4078346Z     %view_92 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_15, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4079218Z     %type_as_14 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_91, %view_84), kwargs = {})
2025-03-21T20:26:24.4080084Z     %type_as_15 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_92, %view_85), kwargs = {})
2025-03-21T20:26:24.4080965Z     %transpose_293 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4082198Z     %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 = {})
2025-03-21T20:26:24.4083798Z     %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 = {})
2025-03-21T20:26:24.4085015Z     %transpose_294 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4085910Z     %select_336 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_294, 0, 0), kwargs = {})
2025-03-21T20:26:24.4086765Z     %select_337 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_336, 0, 0), kwargs = {})
2025-03-21T20:26:24.4087638Z     %transpose_295 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4088538Z     %select_338 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_295, 0, 0), kwargs = {})
2025-03-21T20:26:24.4089390Z     %select_339 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_338, 0, 1), kwargs = {})
2025-03-21T20:26:24.4090271Z     %transpose_296 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4091161Z     %select_340 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_296, 0, 0), kwargs = {})
2025-03-21T20:26:24.4092009Z     %select_341 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_340, 0, 2), kwargs = {})
2025-03-21T20:26:24.4092893Z     %transpose_297 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4093776Z     %select_342 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_297, 0, 0), kwargs = {})
2025-03-21T20:26:24.4094636Z     %select_343 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_342, 0, 3), kwargs = {})
2025-03-21T20:26:24.4095514Z     %transpose_298 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4096403Z     %select_344 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_298, 0, 0), kwargs = {})
2025-03-21T20:26:24.4097251Z     %select_345 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_344, 0, 4), kwargs = {})
2025-03-21T20:26:24.4098126Z     %transpose_299 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4099010Z     %select_346 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_299, 0, 0), kwargs = {})
2025-03-21T20:26:24.4099985Z     %select_347 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_346, 0, 5), kwargs = {})
2025-03-21T20:26:24.4100872Z     %transpose_300 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4101761Z     %select_348 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_300, 0, 0), kwargs = {})
2025-03-21T20:26:24.4102599Z     %select_349 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_348, 0, 6), kwargs = {})
2025-03-21T20:26:24.4103476Z     %transpose_301 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4104366Z     %select_350 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_301, 0, 0), kwargs = {})
2025-03-21T20:26:24.4105216Z     %select_351 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_350, 0, 7), kwargs = {})
2025-03-21T20:26:24.4106098Z     %transpose_302 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4106978Z     %select_352 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_302, 0, 0), kwargs = {})
2025-03-21T20:26:24.4107820Z     %select_353 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_352, 0, 8), kwargs = {})
2025-03-21T20:26:24.4108692Z     %transpose_303 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4109580Z     %select_354 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_303, 0, 0), kwargs = {})
2025-03-21T20:26:24.4110426Z     %select_355 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_354, 0, 9), kwargs = {})
2025-03-21T20:26:24.4111303Z     %transpose_304 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4112196Z     %select_356 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_304, 0, 0), kwargs = {})
2025-03-21T20:26:24.4113050Z     %select_357 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_356, 0, 10), kwargs = {})
2025-03-21T20:26:24.4113936Z     %transpose_305 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_14, 1, 2), kwargs = {})
2025-03-21T20:26:24.4114816Z     %select_358 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_305, 0, 0), kwargs = {})
2025-03-21T20:26:24.4115668Z     %select_359 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_358, 0, 11), kwargs = {})
2025-03-21T20:26:24.4116920Z     %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 = {})
2025-03-21T20:26:24.4118172Z     %view_93 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_14, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4119065Z     %transpose_306 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4119948Z     %select_360 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_306, 0, 0), kwargs = {})
2025-03-21T20:26:24.4120796Z     %select_361 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_360, 0, 0), kwargs = {})
2025-03-21T20:26:24.4121670Z     %transpose_307 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4122664Z     %select_362 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_307, 0, 0), kwargs = {})
2025-03-21T20:26:24.4123562Z     %select_363 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_362, 0, 1), kwargs = {})
2025-03-21T20:26:24.4124594Z     %transpose_308 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4125485Z     %select_364 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_308, 0, 0), kwargs = {})
2025-03-21T20:26:24.4126333Z     %select_365 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_364, 0, 2), kwargs = {})
2025-03-21T20:26:24.4127207Z     %transpose_309 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4128093Z     %select_366 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_309, 0, 0), kwargs = {})
2025-03-21T20:26:24.4128945Z     %select_367 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_366, 0, 3), kwargs = {})
2025-03-21T20:26:24.4129816Z     %transpose_310 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4130697Z     %select_368 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_310, 0, 0), kwargs = {})
2025-03-21T20:26:24.4131540Z     %select_369 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_368, 0, 4), kwargs = {})
2025-03-21T20:26:24.4132416Z     %transpose_311 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4133299Z     %select_370 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_311, 0, 0), kwargs = {})
2025-03-21T20:26:24.4134140Z     %select_371 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_370, 0, 5), kwargs = {})
2025-03-21T20:26:24.4135027Z     %transpose_312 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4135909Z     %select_372 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_312, 0, 0), kwargs = {})
2025-03-21T20:26:24.4136752Z     %select_373 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_372, 0, 6), kwargs = {})
2025-03-21T20:26:24.4137631Z     %transpose_313 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4138518Z     %select_374 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_313, 0, 0), kwargs = {})
2025-03-21T20:26:24.4139370Z     %select_375 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_374, 0, 7), kwargs = {})
2025-03-21T20:26:24.4140250Z     %transpose_314 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4141138Z     %select_376 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_314, 0, 0), kwargs = {})
2025-03-21T20:26:24.4141987Z     %select_377 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_376, 0, 8), kwargs = {})
2025-03-21T20:26:24.4142856Z     %transpose_315 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4143738Z     %select_378 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_315, 0, 0), kwargs = {})
2025-03-21T20:26:24.4144583Z     %select_379 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_378, 0, 9), kwargs = {})
2025-03-21T20:26:24.4145461Z     %transpose_316 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4146499Z     %select_380 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_316, 0, 0), kwargs = {})
2025-03-21T20:26:24.4147352Z     %select_381 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_380, 0, 10), kwargs = {})
2025-03-21T20:26:24.4148237Z     %transpose_317 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4149122Z     %select_382 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_317, 0, 0), kwargs = {})
2025-03-21T20:26:24.4149970Z     %select_383 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_382, 0, 11), kwargs = {})
2025-03-21T20:26:24.4151214Z     %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 = {})
2025-03-21T20:26:24.4152475Z     %view_94 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_15, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4153523Z     %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 = {})
2025-03-21T20:26:24.4154586Z     %transpose_318 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_93, -2, -1), kwargs = {})
2025-03-21T20:26:24.4155521Z     %matmul_14 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_293, %transpose_318), kwargs = {})
2025-03-21T20:26:24.4156408Z     %mul_78 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_14, 0.125), kwargs = {})
2025-03-21T20:26:24.4157203Z     %add_37 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_78, %index_9), kwargs = {})
2025-03-21T20:26:24.4158007Z     %softmax_7 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_37, -1), kwargs = {})
2025-03-21T20:26:24.4158862Z     %matmul_15 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_7, %view_94), kwargs = {})
2025-03-21T20:26:24.4159759Z     %transpose_319 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_15, 1, 2), kwargs = {})
2025-03-21T20:26:24.4160653Z     %view_95 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_319, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.4161548Z     %unsqueeze_52 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_95, -1), kwargs = {})
2025-03-21T20:26:24.4162515Z     %transpose_320 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_52, 1, 2), kwargs = {})
2025-03-21T20:26:24.4163615Z     %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 = {})
2025-03-21T20:26:24.4164686Z     %transpose_321 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_52, 1, 2), kwargs = {})
2025-03-21T20:26:24.4165568Z     %squeeze_52 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_321, -1), kwargs = {})
2025-03-21T20:26:24.4166409Z     %add_38 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_34, %squeeze_52), kwargs = {})
2025-03-21T20:26:24.4167410Z     %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 = {})
2025-03-21T20:26:24.4168463Z     %unsqueeze_53 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_15, -1), kwargs = {})
2025-03-21T20:26:24.4169451Z     %transpose_322 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_53, 1, 2), kwargs = {})
2025-03-21T20:26:24.4170593Z     %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 = {})
2025-03-21T20:26:24.4171672Z     %transpose_323 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_53, 1, 2), kwargs = {})
2025-03-21T20:26:24.4172543Z     %squeeze_53 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_323, -1), kwargs = {})
2025-03-21T20:26:24.4173382Z     %silu_7 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_53,), kwargs = {})
2025-03-21T20:26:24.4174260Z     %unsqueeze_54 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_15, -1), kwargs = {})
2025-03-21T20:26:24.4175196Z     %transpose_324 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_54, 1, 2), kwargs = {})
2025-03-21T20:26:24.4176303Z     %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 = {})
2025-03-21T20:26:24.4176697Z     %transpose_325 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_54, 1, 2), kwargs = {})
2025-03-21T20:26:24.4177088Z     %squeeze_54 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_325, -1), kwargs = {})
2025-03-21T20:26:24.4177436Z     %mul_79 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_7, %squeeze_54), kwargs = {})
2025-03-21T20:26:24.4177835Z     %unsqueeze_55 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_79, -1), kwargs = {})
2025-03-21T20:26:24.4178237Z     %transpose_326 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_55, 1, 2), kwargs = {})
2025-03-21T20:26:24.4178838Z     %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 = {})
2025-03-21T20:26:24.4179230Z     %transpose_327 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_55, 1, 2), kwargs = {})
2025-03-21T20:26:24.4179620Z     %squeeze_55 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_327, -1), kwargs = {})
2025-03-21T20:26:24.4179972Z     %add_39 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_38, %squeeze_55), kwargs = {})
2025-03-21T20:26:24.4180545Z     %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 = {})
2025-03-21T20:26:24.4180960Z     %unsqueeze_56 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_16, -1), kwargs = {})
2025-03-21T20:26:24.4181383Z     %transpose_328 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_56, 1, 2), kwargs = {})
2025-03-21T20:26:24.4181955Z     %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 = {})
2025-03-21T20:26:24.4182350Z     %transpose_329 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_56, 1, 2), kwargs = {})
2025-03-21T20:26:24.4182740Z     %squeeze_56 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_329, -1), kwargs = {})
2025-03-21T20:26:24.4183147Z     %unsqueeze_57 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_16, -1), kwargs = {})
2025-03-21T20:26:24.4183629Z     %transpose_330 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_57, 1, 2), kwargs = {})
2025-03-21T20:26:24.4184249Z     %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 = {})
2025-03-21T20:26:24.4184659Z     %transpose_331 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_57, 1, 2), kwargs = {})
2025-03-21T20:26:24.4185037Z     %squeeze_57 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_331, -1), kwargs = {})
2025-03-21T20:26:24.4185457Z     %unsqueeze_58 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_16, -1), kwargs = {})
2025-03-21T20:26:24.4185859Z     %transpose_332 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_58, 1, 2), kwargs = {})
2025-03-21T20:26:24.4186445Z     %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 = {})
2025-03-21T20:26:24.4186844Z     %transpose_333 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_58, 1, 2), kwargs = {})
2025-03-21T20:26:24.4187236Z     %squeeze_58 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_333, -1), kwargs = {})
2025-03-21T20:26:24.4187623Z     %view_96 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_56, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4188007Z     %view_97 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_57, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4188405Z     %view_98 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_58, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4188828Z     %_to_copy_16 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_96,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4189249Z     %view_99 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_16, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4189599Z     %unbind_16 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_99, -1), kwargs = {})
2025-03-21T20:26:24.4189934Z     %getitem_32 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_16, 0), kwargs = {})
2025-03-21T20:26:24.4190257Z     %getitem_33 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_16, 1), kwargs = {})
2025-03-21T20:26:24.4190692Z     %_to_copy_17 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_97,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4191096Z     %view_100 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_17, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4191465Z     %unbind_17 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_100, -1), kwargs = {})
2025-03-21T20:26:24.4191793Z     %getitem_34 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_17, 0), kwargs = {})
2025-03-21T20:26:24.4192121Z     %getitem_35 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_17, 1), kwargs = {})
2025-03-21T20:26:24.4192492Z     %view_101 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4192870Z     %view_102 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4193238Z     %mul_80 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_32, %view_101), kwargs = {})
2025-03-21T20:26:24.4193597Z     %mul_81 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_33, %view_102), kwargs = {})
2025-03-21T20:26:24.4193997Z     %sub_16 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_80, %mul_81), kwargs = {})
2025-03-21T20:26:24.4194399Z     %mul_82 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_32, %view_102), kwargs = {})
2025-03-21T20:26:24.4194759Z     %mul_83 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_33, %view_101), kwargs = {})
2025-03-21T20:26:24.4195095Z     %add_40 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_82, %mul_83), kwargs = {})
2025-03-21T20:26:24.4195455Z     %mul_84 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_34, %view_101), kwargs = {})
2025-03-21T20:26:24.4195806Z     %mul_85 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_35, %view_102), kwargs = {})
2025-03-21T20:26:24.4196149Z     %sub_17 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_84, %mul_85), kwargs = {})
2025-03-21T20:26:24.4196509Z     %mul_86 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_34, %view_102), kwargs = {})
2025-03-21T20:26:24.4196862Z     %mul_87 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_35, %view_101), kwargs = {})
2025-03-21T20:26:24.4197210Z     %add_41 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_86, %mul_87), kwargs = {})
2025-03-21T20:26:24.4197594Z     %stack_16 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_16, %add_40], -1), kwargs = {})
2025-03-21T20:26:24.4197985Z     %view_103 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_16, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4198368Z     %stack_17 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_17, %add_41], -1), kwargs = {})
2025-03-21T20:26:24.4198758Z     %view_104 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_17, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4199142Z     %type_as_16 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_103, %view_96), kwargs = {})
2025-03-21T20:26:24.4199523Z     %type_as_17 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_104, %view_97), kwargs = {})
2025-03-21T20:26:24.4199917Z     %transpose_334 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4200643Z     %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 = {})
2025-03-21T20:26:24.4201342Z     %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 = {})
2025-03-21T20:26:24.4201769Z     %transpose_335 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4202146Z     %select_384 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_335, 0, 0), kwargs = {})
2025-03-21T20:26:24.4202588Z     %select_385 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_384, 0, 0), kwargs = {})
2025-03-21T20:26:24.4202993Z     %transpose_336 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4203364Z     %select_386 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_336, 0, 0), kwargs = {})
2025-03-21T20:26:24.4203767Z     %select_387 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_386, 0, 1), kwargs = {})
2025-03-21T20:26:24.4204289Z     %transpose_337 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4204719Z     %select_388 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_337, 0, 0), kwargs = {})
2025-03-21T20:26:24.4205083Z     %select_389 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_388, 0, 2), kwargs = {})
2025-03-21T20:26:24.4205492Z     %transpose_338 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4205863Z     %select_390 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_338, 0, 0), kwargs = {})
2025-03-21T20:26:24.4206234Z     %select_391 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_390, 0, 3), kwargs = {})
2025-03-21T20:26:24.4206636Z     %transpose_339 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4207029Z     %select_392 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_339, 0, 0), kwargs = {})
2025-03-21T20:26:24.4207388Z     %select_393 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_392, 0, 4), kwargs = {})
2025-03-21T20:26:24.4207787Z     %transpose_340 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4208168Z     %select_394 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_340, 0, 0), kwargs = {})
2025-03-21T20:26:24.4208531Z     %select_395 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_394, 0, 5), kwargs = {})
2025-03-21T20:26:24.4208943Z     %transpose_341 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4209319Z     %select_396 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_341, 0, 0), kwargs = {})
2025-03-21T20:26:24.4209696Z     %select_397 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_396, 0, 6), kwargs = {})
2025-03-21T20:26:24.4210099Z     %transpose_342 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4210482Z     %select_398 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_342, 0, 0), kwargs = {})
2025-03-21T20:26:24.4210844Z     %select_399 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_398, 0, 7), kwargs = {})
2025-03-21T20:26:24.4211259Z     %transpose_343 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4211631Z     %select_400 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_343, 0, 0), kwargs = {})
2025-03-21T20:26:24.4212009Z     %select_401 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_400, 0, 8), kwargs = {})
2025-03-21T20:26:24.4212412Z     %transpose_344 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4212783Z     %select_402 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_344, 0, 0), kwargs = {})
2025-03-21T20:26:24.4213157Z     %select_403 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_402, 0, 9), kwargs = {})
2025-03-21T20:26:24.4213559Z     %transpose_345 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4213942Z     %select_404 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_345, 0, 0), kwargs = {})
2025-03-21T20:26:24.4214310Z     %select_405 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_404, 0, 10), kwargs = {})
2025-03-21T20:26:24.4214829Z     %transpose_346 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_16, 1, 2), kwargs = {})
2025-03-21T20:26:24.4215204Z     %select_406 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_346, 0, 0), kwargs = {})
2025-03-21T20:26:24.4215580Z     %select_407 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_406, 0, 11), kwargs = {})
2025-03-21T20:26:24.4216345Z     %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 = {})
2025-03-21T20:26:24.4216741Z     %view_105 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_16, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4217147Z     %transpose_347 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4217535Z     %select_408 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_347, 0, 0), kwargs = {})
2025-03-21T20:26:24.4217899Z     %select_409 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_408, 0, 0), kwargs = {})
2025-03-21T20:26:24.4218299Z     %transpose_348 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4218681Z     %select_410 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_348, 0, 0), kwargs = {})
2025-03-21T20:26:24.4219042Z     %select_411 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_410, 0, 1), kwargs = {})
2025-03-21T20:26:24.4219455Z     %transpose_349 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4219834Z     %select_412 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_349, 0, 0), kwargs = {})
2025-03-21T20:26:24.4220208Z     %select_413 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_412, 0, 2), kwargs = {})
2025-03-21T20:26:24.4220611Z     %transpose_350 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4220992Z     %select_414 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_350, 0, 0), kwargs = {})
2025-03-21T20:26:24.4221352Z     %select_415 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_414, 0, 3), kwargs = {})
2025-03-21T20:26:24.4221764Z     %transpose_351 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4222139Z     %select_416 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_351, 0, 0), kwargs = {})
2025-03-21T20:26:24.4222514Z     %select_417 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_416, 0, 4), kwargs = {})
2025-03-21T20:26:24.4222915Z     %transpose_352 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4223284Z     %select_418 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_352, 0, 0), kwargs = {})
2025-03-21T20:26:24.4223653Z     %select_419 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_418, 0, 5), kwargs = {})
2025-03-21T20:26:24.4224053Z     %transpose_353 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4224602Z     %select_420 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_353, 0, 0), kwargs = {})
2025-03-21T20:26:24.4225107Z     %select_421 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_420, 0, 6), kwargs = {})
2025-03-21T20:26:24.4225523Z     %transpose_354 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4225896Z     %select_422 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_354, 0, 0), kwargs = {})
2025-03-21T20:26:24.4226271Z     %select_423 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_422, 0, 7), kwargs = {})
2025-03-21T20:26:24.4226673Z     %transpose_355 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4227058Z     %select_424 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_355, 0, 0), kwargs = {})
2025-03-21T20:26:24.4227416Z     %select_425 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_424, 0, 8), kwargs = {})
2025-03-21T20:26:24.4227828Z     %transpose_356 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4228211Z     %select_426 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_356, 0, 0), kwargs = {})
2025-03-21T20:26:24.4228571Z     %select_427 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_426, 0, 9), kwargs = {})
2025-03-21T20:26:24.4228990Z     %transpose_357 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4229361Z     %select_428 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_357, 0, 0), kwargs = {})
2025-03-21T20:26:24.4229739Z     %select_429 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_428, 0, 10), kwargs = {})
2025-03-21T20:26:24.4230144Z     %transpose_358 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4230531Z     %select_430 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_358, 0, 0), kwargs = {})
2025-03-21T20:26:24.4230895Z     %select_431 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_430, 0, 11), kwargs = {})
2025-03-21T20:26:24.4231668Z     %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 = {})
2025-03-21T20:26:24.4232052Z     %view_106 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_17, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4232624Z     %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 = {})
2025-03-21T20:26:24.4233031Z     %transpose_359 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_105, -2, -1), kwargs = {})
2025-03-21T20:26:24.4233468Z     %matmul_16 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_334, %transpose_359), kwargs = {})
2025-03-21T20:26:24.4233811Z     %mul_88 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_16, 0.125), kwargs = {})
2025-03-21T20:26:24.4234156Z     %add_42 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_88, %index_10), kwargs = {})
2025-03-21T20:26:24.4234520Z     %softmax_8 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_42, -1), kwargs = {})
2025-03-21T20:26:24.4234914Z     %matmul_17 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_8, %view_106), kwargs = {})
2025-03-21T20:26:24.4235370Z     %transpose_360 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_17, 1, 2), kwargs = {})
2025-03-21T20:26:24.4235812Z     %view_107 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_360, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.4236220Z     %unsqueeze_59 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_107, -1), kwargs = {})
2025-03-21T20:26:24.4236623Z     %transpose_361 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_59, 1, 2), kwargs = {})
2025-03-21T20:26:24.4237209Z     %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 = {})
2025-03-21T20:26:24.4237601Z     %transpose_362 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_59, 1, 2), kwargs = {})
2025-03-21T20:26:24.4237992Z     %squeeze_59 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_362, -1), kwargs = {})
2025-03-21T20:26:24.4238348Z     %add_43 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_39, %squeeze_59), kwargs = {})
2025-03-21T20:26:24.4238899Z     %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 = {})
2025-03-21T20:26:24.4239307Z     %unsqueeze_60 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_17, -1), kwargs = {})
2025-03-21T20:26:24.4239707Z     %transpose_363 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_60, 1, 2), kwargs = {})
2025-03-21T20:26:24.4240295Z     %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 = {})
2025-03-21T20:26:24.4240690Z     %transpose_364 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_60, 1, 2), kwargs = {})
2025-03-21T20:26:24.4241086Z     %squeeze_60 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_364, -1), kwargs = {})
2025-03-21T20:26:24.4241431Z     %silu_8 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_60,), kwargs = {})
2025-03-21T20:26:24.4241852Z     %unsqueeze_61 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_17, -1), kwargs = {})
2025-03-21T20:26:24.4242255Z     %transpose_365 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_61, 1, 2), kwargs = {})
2025-03-21T20:26:24.4242911Z     %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 = {})
2025-03-21T20:26:24.4243311Z     %transpose_366 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_61, 1, 2), kwargs = {})
2025-03-21T20:26:24.4243705Z     %squeeze_61 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_366, -1), kwargs = {})
2025-03-21T20:26:24.4244059Z     %mul_89 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_8, %squeeze_61), kwargs = {})
2025-03-21T20:26:24.4244459Z     %unsqueeze_62 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_89, -1), kwargs = {})
2025-03-21T20:26:24.4244863Z     %transpose_367 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_62, 1, 2), kwargs = {})
2025-03-21T20:26:24.4245443Z     %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 = {})
2025-03-21T20:26:24.4245905Z     %transpose_368 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_62, 1, 2), kwargs = {})
2025-03-21T20:26:24.4246332Z     %squeeze_62 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_368, -1), kwargs = {})
2025-03-21T20:26:24.4246696Z     %add_44 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_43, %squeeze_62), kwargs = {})
2025-03-21T20:26:24.4247258Z     %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 = {})
2025-03-21T20:26:24.4247679Z     %unsqueeze_63 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_18, -1), kwargs = {})
2025-03-21T20:26:24.4248080Z     %transpose_369 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_63, 1, 2), kwargs = {})
2025-03-21T20:26:24.4248660Z     %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 = {})
2025-03-21T20:26:24.4249059Z     %transpose_370 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_63, 1, 2), kwargs = {})
2025-03-21T20:26:24.4249455Z     %squeeze_63 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_370, -1), kwargs = {})
2025-03-21T20:26:24.4249864Z     %unsqueeze_64 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_18, -1), kwargs = {})
2025-03-21T20:26:24.4250273Z     %transpose_371 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_64, 1, 2), kwargs = {})
2025-03-21T20:26:24.4250841Z     %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 = {})
2025-03-21T20:26:24.4251243Z     %transpose_372 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_64, 1, 2), kwargs = {})
2025-03-21T20:26:24.4251623Z     %squeeze_64 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_372, -1), kwargs = {})
2025-03-21T20:26:24.4252028Z     %unsqueeze_65 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_18, -1), kwargs = {})
2025-03-21T20:26:24.4252435Z     %transpose_373 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_65, 1, 2), kwargs = {})
2025-03-21T20:26:24.4253000Z     %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 = {})
2025-03-21T20:26:24.4253397Z     %transpose_374 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_65, 1, 2), kwargs = {})
2025-03-21T20:26:24.4253772Z     %squeeze_65 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_374, -1), kwargs = {})
2025-03-21T20:26:24.4254175Z     %view_108 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_63, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4254561Z     %view_109 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_64, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4254950Z     %view_110 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_65, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4255372Z     %_to_copy_18 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_108,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4255779Z     %view_111 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_18, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4256127Z     %unbind_18 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_111, -1), kwargs = {})
2025-03-21T20:26:24.4256565Z     %getitem_36 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_18, 0), kwargs = {})
2025-03-21T20:26:24.4256880Z     %getitem_37 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_18, 1), kwargs = {})
2025-03-21T20:26:24.4257300Z     %_to_copy_19 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_109,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4257707Z     %view_112 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_19, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4258056Z     %unbind_19 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_112, -1), kwargs = {})
2025-03-21T20:26:24.4258385Z     %getitem_38 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_19, 0), kwargs = {})
2025-03-21T20:26:24.4258701Z     %getitem_39 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_19, 1), kwargs = {})
2025-03-21T20:26:24.4259085Z     %view_113 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4259461Z     %view_114 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4259822Z     %mul_90 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_36, %view_113), kwargs = {})
2025-03-21T20:26:24.4260177Z     %mul_91 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_37, %view_114), kwargs = {})
2025-03-21T20:26:24.4260517Z     %sub_18 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_90, %mul_91), kwargs = {})
2025-03-21T20:26:24.4260870Z     %mul_92 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_36, %view_114), kwargs = {})
2025-03-21T20:26:24.4261228Z     %mul_93 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_37, %view_113), kwargs = {})
2025-03-21T20:26:24.4261570Z     %add_45 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_92, %mul_93), kwargs = {})
2025-03-21T20:26:24.4261924Z     %mul_94 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_38, %view_113), kwargs = {})
2025-03-21T20:26:24.4262287Z     %mul_95 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_39, %view_114), kwargs = {})
2025-03-21T20:26:24.4262617Z     %sub_19 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_94, %mul_95), kwargs = {})
2025-03-21T20:26:24.4262979Z     %mul_96 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_38, %view_114), kwargs = {})
2025-03-21T20:26:24.4263334Z     %mul_97 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_39, %view_113), kwargs = {})
2025-03-21T20:26:24.4263671Z     %add_46 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_96, %mul_97), kwargs = {})
2025-03-21T20:26:24.4264124Z     %stack_18 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_18, %add_45], -1), kwargs = {})
2025-03-21T20:26:24.4264529Z     %view_115 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_18, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4264909Z     %stack_19 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_19, %add_46], -1), kwargs = {})
2025-03-21T20:26:24.4265302Z     %view_116 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_19, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4265678Z     %type_as_18 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_115, %view_108), kwargs = {})
2025-03-21T20:26:24.4266052Z     %type_as_19 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_116, %view_109), kwargs = {})
2025-03-21T20:26:24.4266554Z     %transpose_375 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4267272Z     %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 = {})
2025-03-21T20:26:24.4267981Z     %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 = {})
2025-03-21T20:26:24.4268382Z     %transpose_376 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4268762Z     %select_432 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_376, 0, 0), kwargs = {})
2025-03-21T20:26:24.4269129Z     %select_433 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_432, 0, 0), kwargs = {})
2025-03-21T20:26:24.4269539Z     %transpose_377 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4269905Z     %select_434 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_377, 0, 0), kwargs = {})
2025-03-21T20:26:24.4270272Z     %select_435 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_434, 0, 1), kwargs = {})
2025-03-21T20:26:24.4270668Z     %transpose_378 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4271043Z     %select_436 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_378, 0, 0), kwargs = {})
2025-03-21T20:26:24.4271401Z     %select_437 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_436, 0, 2), kwargs = {})
2025-03-21T20:26:24.4271812Z     %transpose_379 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4272195Z     %select_438 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_379, 0, 0), kwargs = {})
2025-03-21T20:26:24.4272548Z     %select_439 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_438, 0, 3), kwargs = {})
2025-03-21T20:26:24.4272952Z     %transpose_380 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4273319Z     %select_440 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_380, 0, 0), kwargs = {})
2025-03-21T20:26:24.4273688Z     %select_441 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_440, 0, 4), kwargs = {})
2025-03-21T20:26:24.4274090Z     %transpose_381 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4274472Z     %select_442 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_381, 0, 0), kwargs = {})
2025-03-21T20:26:24.4274829Z     %select_443 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_442, 0, 5), kwargs = {})
2025-03-21T20:26:24.4275234Z     %transpose_382 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4275603Z     %select_444 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_382, 0, 0), kwargs = {})
2025-03-21T20:26:24.4275966Z     %select_445 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_444, 0, 6), kwargs = {})
2025-03-21T20:26:24.4276363Z     %transpose_383 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4276830Z     %select_446 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_383, 0, 0), kwargs = {})
2025-03-21T20:26:24.4277199Z     %select_447 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_446, 0, 7), kwargs = {})
2025-03-21T20:26:24.4277598Z     %transpose_384 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4277972Z     %select_448 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_384, 0, 0), kwargs = {})
2025-03-21T20:26:24.4278332Z     %select_449 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_448, 0, 8), kwargs = {})
2025-03-21T20:26:24.4278741Z     %transpose_385 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4279115Z     %select_450 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_385, 0, 0), kwargs = {})
2025-03-21T20:26:24.4279484Z     %select_451 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_450, 0, 9), kwargs = {})
2025-03-21T20:26:24.4279884Z     %transpose_386 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4280262Z     %select_452 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_386, 0, 0), kwargs = {})
2025-03-21T20:26:24.4280628Z     %select_453 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_452, 0, 10), kwargs = {})
2025-03-21T20:26:24.4281029Z     %transpose_387 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_18, 1, 2), kwargs = {})
2025-03-21T20:26:24.4281407Z     %select_454 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_387, 0, 0), kwargs = {})
2025-03-21T20:26:24.4281780Z     %select_455 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_454, 0, 11), kwargs = {})
2025-03-21T20:26:24.4282602Z     %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 = {})
2025-03-21T20:26:24.4282990Z     %view_117 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_18, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4283402Z     %transpose_388 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4283774Z     %select_456 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_388, 0, 0), kwargs = {})
2025-03-21T20:26:24.4284147Z     %select_457 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_456, 0, 0), kwargs = {})
2025-03-21T20:26:24.4284556Z     %transpose_389 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4284935Z     %select_458 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_389, 0, 0), kwargs = {})
2025-03-21T20:26:24.4285297Z     %select_459 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_458, 0, 1), kwargs = {})
2025-03-21T20:26:24.4285710Z     %transpose_390 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4286086Z     %select_460 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_390, 0, 0), kwargs = {})
2025-03-21T20:26:24.4286461Z     %select_461 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_460, 0, 2), kwargs = {})
2025-03-21T20:26:24.4286916Z     %transpose_391 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4287331Z     %select_462 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_391, 0, 0), kwargs = {})
2025-03-21T20:26:24.4287700Z     %select_463 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_462, 0, 3), kwargs = {})
2025-03-21T20:26:24.4288099Z     %transpose_392 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4288478Z     %select_464 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_392, 0, 0), kwargs = {})
2025-03-21T20:26:24.4288837Z     %select_465 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_464, 0, 4), kwargs = {})
2025-03-21T20:26:24.4289245Z     %transpose_393 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4289623Z     %select_466 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_393, 0, 0), kwargs = {})
2025-03-21T20:26:24.4289989Z     %select_467 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_466, 0, 5), kwargs = {})
2025-03-21T20:26:24.4290387Z     %transpose_394 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4290769Z     %select_468 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_394, 0, 0), kwargs = {})
2025-03-21T20:26:24.4291127Z     %select_469 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_468, 0, 6), kwargs = {})
2025-03-21T20:26:24.4291526Z     %transpose_395 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4291908Z     %select_470 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_395, 0, 0), kwargs = {})
2025-03-21T20:26:24.4292268Z     %select_471 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_470, 0, 7), kwargs = {})
2025-03-21T20:26:24.4292676Z     %transpose_396 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4293041Z     %select_472 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_396, 0, 0), kwargs = {})
2025-03-21T20:26:24.4293405Z     %select_473 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_472, 0, 8), kwargs = {})
2025-03-21T20:26:24.4293802Z     %transpose_397 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4294180Z     %select_474 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_397, 0, 0), kwargs = {})
2025-03-21T20:26:24.4294541Z     %select_475 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_474, 0, 9), kwargs = {})
2025-03-21T20:26:24.4294951Z     %transpose_398 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4295316Z     %select_476 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_398, 0, 0), kwargs = {})
2025-03-21T20:26:24.4295692Z     %select_477 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_476, 0, 10), kwargs = {})
2025-03-21T20:26:24.4296089Z     %transpose_399 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4296458Z     %select_478 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_399, 0, 0), kwargs = {})
2025-03-21T20:26:24.4296895Z     %select_479 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_478, 0, 11), kwargs = {})
2025-03-21T20:26:24.4297700Z     %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 = {})
2025-03-21T20:26:24.4298093Z     %view_118 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_19, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4298649Z     %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 = {})
2025-03-21T20:26:24.4299060Z     %transpose_400 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_117, -2, -1), kwargs = {})
2025-03-21T20:26:24.4299488Z     %matmul_18 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_375, %transpose_400), kwargs = {})
2025-03-21T20:26:24.4299848Z     %mul_98 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_18, 0.125), kwargs = {})
2025-03-21T20:26:24.4300198Z     %add_47 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_98, %index_11), kwargs = {})
2025-03-21T20:26:24.4300558Z     %softmax_9 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_47, -1), kwargs = {})
2025-03-21T20:26:24.4300950Z     %matmul_19 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_9, %view_118), kwargs = {})
2025-03-21T20:26:24.4301346Z     %transpose_401 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_19, 1, 2), kwargs = {})
2025-03-21T20:26:24.4301739Z     %view_119 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_401, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.4302137Z     %unsqueeze_66 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_119, -1), kwargs = {})
2025-03-21T20:26:24.4302551Z     %transpose_402 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_66, 1, 2), kwargs = {})
2025-03-21T20:26:24.4303121Z     %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 = {})
2025-03-21T20:26:24.4303521Z     %transpose_403 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_66, 1, 2), kwargs = {})
2025-03-21T20:26:24.4303894Z     %squeeze_66 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_403, -1), kwargs = {})
2025-03-21T20:26:24.4304253Z     %add_48 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_44, %squeeze_66), kwargs = {})
2025-03-21T20:26:24.4304791Z     %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 = {})
2025-03-21T20:26:24.4305215Z     %unsqueeze_67 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_19, -1), kwargs = {})
2025-03-21T20:26:24.4305617Z     %transpose_404 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_67, 1, 2), kwargs = {})
2025-03-21T20:26:24.4306200Z     %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 = {})
2025-03-21T20:26:24.4306590Z     %transpose_405 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_67, 1, 2), kwargs = {})
2025-03-21T20:26:24.4306970Z     %squeeze_67 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_405, -1), kwargs = {})
2025-03-21T20:26:24.4307421Z     %silu_9 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_67,), kwargs = {})
2025-03-21T20:26:24.4307892Z     %unsqueeze_68 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_19, -1), kwargs = {})
2025-03-21T20:26:24.4308295Z     %transpose_406 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_68, 1, 2), kwargs = {})
2025-03-21T20:26:24.4308873Z     %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 = {})
2025-03-21T20:26:24.4309272Z     %transpose_407 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_68, 1, 2), kwargs = {})
2025-03-21T20:26:24.4309643Z     %squeeze_68 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_407, -1), kwargs = {})
2025-03-21T20:26:24.4310001Z     %mul_99 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_9, %squeeze_68), kwargs = {})
2025-03-21T20:26:24.4310392Z     %unsqueeze_69 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_99, -1), kwargs = {})
2025-03-21T20:26:24.4310803Z     %transpose_408 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_69, 1, 2), kwargs = {})
2025-03-21T20:26:24.4311380Z     %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 = {})
2025-03-21T20:26:24.4311775Z     %transpose_409 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_69, 1, 2), kwargs = {})
2025-03-21T20:26:24.4312148Z     %squeeze_69 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_409, -1), kwargs = {})
2025-03-21T20:26:24.4312513Z     %add_49 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_48, %squeeze_69), kwargs = {})
2025-03-21T20:26:24.4313080Z     %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 = {})
2025-03-21T20:26:24.4313495Z     %unsqueeze_70 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_20, -1), kwargs = {})
2025-03-21T20:26:24.4313891Z     %transpose_410 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_70, 1, 2), kwargs = {})
2025-03-21T20:26:24.4314471Z     %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 = {})
2025-03-21T20:26:24.4314860Z     %transpose_411 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_70, 1, 2), kwargs = {})
2025-03-21T20:26:24.4315232Z     %squeeze_70 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_411, -1), kwargs = {})
2025-03-21T20:26:24.4315655Z     %unsqueeze_71 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_20, -1), kwargs = {})
2025-03-21T20:26:24.4316053Z     %transpose_412 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_71, 1, 2), kwargs = {})
2025-03-21T20:26:24.4316632Z     %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 = {})
2025-03-21T20:26:24.4317016Z     %transpose_413 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_71, 1, 2), kwargs = {})
2025-03-21T20:26:24.4317398Z     %squeeze_71 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_413, -1), kwargs = {})
2025-03-21T20:26:24.4317803Z     %unsqueeze_72 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_20, -1), kwargs = {})
2025-03-21T20:26:24.4318308Z     %transpose_414 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_72, 1, 2), kwargs = {})
2025-03-21T20:26:24.4318877Z     %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 = {})
2025-03-21T20:26:24.4319274Z     %transpose_415 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_72, 1, 2), kwargs = {})
2025-03-21T20:26:24.4319648Z     %squeeze_72 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_415, -1), kwargs = {})
2025-03-21T20:26:24.4320039Z     %view_120 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_70, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4320426Z     %view_121 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_71, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4320817Z     %view_122 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_72, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4321244Z     %_to_copy_20 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_120,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4321643Z     %view_123 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_20, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4322000Z     %unbind_20 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_123, -1), kwargs = {})
2025-03-21T20:26:24.4322322Z     %getitem_40 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_20, 0), kwargs = {})
2025-03-21T20:26:24.4322713Z     %getitem_41 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_20, 1), kwargs = {})
2025-03-21T20:26:24.4323141Z     %_to_copy_21 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_121,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4323554Z     %view_124 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_21, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4323903Z     %unbind_21 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_124, -1), kwargs = {})
2025-03-21T20:26:24.4324229Z     %getitem_42 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_21, 0), kwargs = {})
2025-03-21T20:26:24.4324719Z     %getitem_43 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_21, 1), kwargs = {})
2025-03-21T20:26:24.4325092Z     %view_125 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4325478Z     %view_126 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4325846Z     %mul_100 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_40, %view_125), kwargs = {})
2025-03-21T20:26:24.4326220Z     %mul_101 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_41, %view_126), kwargs = {})
2025-03-21T20:26:24.4326568Z     %sub_20 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_100, %mul_101), kwargs = {})
2025-03-21T20:26:24.4326939Z     %mul_102 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_40, %view_126), kwargs = {})
2025-03-21T20:26:24.4327301Z     %mul_103 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_41, %view_125), kwargs = {})
2025-03-21T20:26:24.4327654Z     %add_50 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_102, %mul_103), kwargs = {})
2025-03-21T20:26:24.4328012Z     %mul_104 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_42, %view_125), kwargs = {})
2025-03-21T20:26:24.4328534Z     %mul_105 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_43, %view_126), kwargs = {})
2025-03-21T20:26:24.4328876Z     %sub_21 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_104, %mul_105), kwargs = {})
2025-03-21T20:26:24.4329246Z     %mul_106 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_42, %view_126), kwargs = {})
2025-03-21T20:26:24.4329605Z     %mul_107 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_43, %view_125), kwargs = {})
2025-03-21T20:26:24.4329945Z     %add_51 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_106, %mul_107), kwargs = {})
2025-03-21T20:26:24.4330339Z     %stack_20 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_20, %add_50], -1), kwargs = {})
2025-03-21T20:26:24.4330727Z     %view_127 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_20, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4331125Z     %stack_21 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_21, %add_51], -1), kwargs = {})
2025-03-21T20:26:24.4331509Z     %view_128 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_21, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4331894Z     %type_as_20 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_127, %view_120), kwargs = {})
2025-03-21T20:26:24.4332271Z     %type_as_21 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_128, %view_121), kwargs = {})
2025-03-21T20:26:24.4332675Z     %transpose_416 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4333388Z     %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 = {})
2025-03-21T20:26:24.4337973Z     %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 = {})
2025-03-21T20:26:24.4338402Z     %transpose_417 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4338775Z     %select_480 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_417, 0, 0), kwargs = {})
2025-03-21T20:26:24.4339148Z     %select_481 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_480, 0, 0), kwargs = {})
2025-03-21T20:26:24.4339547Z     %transpose_418 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4339935Z     %select_482 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_418, 0, 0), kwargs = {})
2025-03-21T20:26:24.4340324Z     %select_483 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_482, 0, 1), kwargs = {})
2025-03-21T20:26:24.4340738Z     %transpose_419 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4341104Z     %select_484 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_419, 0, 0), kwargs = {})
2025-03-21T20:26:24.4341471Z     %select_485 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_484, 0, 2), kwargs = {})
2025-03-21T20:26:24.4341870Z     %transpose_420 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4342236Z     %select_486 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_420, 0, 0), kwargs = {})
2025-03-21T20:26:24.4342715Z     %select_487 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_486, 0, 3), kwargs = {})
2025-03-21T20:26:24.4343117Z     %transpose_421 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4343499Z     %select_488 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_421, 0, 0), kwargs = {})
2025-03-21T20:26:24.4343858Z     %select_489 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_488, 0, 4), kwargs = {})
2025-03-21T20:26:24.4344267Z     %transpose_422 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4344631Z     %select_490 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_422, 0, 0), kwargs = {})
2025-03-21T20:26:24.4345003Z     %select_491 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_490, 0, 5), kwargs = {})
2025-03-21T20:26:24.4345407Z     %transpose_423 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4345788Z     %select_492 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_423, 0, 0), kwargs = {})
2025-03-21T20:26:24.4346148Z     %select_493 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_492, 0, 6), kwargs = {})
2025-03-21T20:26:24.4346547Z     %transpose_424 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4346928Z     %select_494 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_424, 0, 0), kwargs = {})
2025-03-21T20:26:24.4347289Z     %select_495 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_494, 0, 7), kwargs = {})
2025-03-21T20:26:24.4347707Z     %transpose_425 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4348134Z     %select_496 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_425, 0, 0), kwargs = {})
2025-03-21T20:26:24.4348502Z     %select_497 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_496, 0, 8), kwargs = {})
2025-03-21T20:26:24.4348906Z     %transpose_426 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4349279Z     %select_498 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_426, 0, 0), kwargs = {})
2025-03-21T20:26:24.4349638Z     %select_499 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_498, 0, 9), kwargs = {})
2025-03-21T20:26:24.4350050Z     %transpose_427 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4350423Z     %select_500 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_427, 0, 0), kwargs = {})
2025-03-21T20:26:24.4350798Z     %select_501 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_500, 0, 10), kwargs = {})
2025-03-21T20:26:24.4351198Z     %transpose_428 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_20, 1, 2), kwargs = {})
2025-03-21T20:26:24.4351570Z     %select_502 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_428, 0, 0), kwargs = {})
2025-03-21T20:26:24.4351942Z     %select_503 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_502, 0, 11), kwargs = {})
2025-03-21T20:26:24.4352704Z     %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 = {})
2025-03-21T20:26:24.4353175Z     %view_129 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_20, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4353580Z     %transpose_429 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4353954Z     %select_504 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_429, 0, 0), kwargs = {})
2025-03-21T20:26:24.4354314Z     %select_505 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_504, 0, 0), kwargs = {})
2025-03-21T20:26:24.4354722Z     %transpose_430 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4355091Z     %select_506 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_430, 0, 0), kwargs = {})
2025-03-21T20:26:24.4355470Z     %select_507 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_506, 0, 1), kwargs = {})
2025-03-21T20:26:24.4355874Z     %transpose_431 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4356251Z     %select_508 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_431, 0, 0), kwargs = {})
2025-03-21T20:26:24.4356608Z     %select_509 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_508, 0, 2), kwargs = {})
2025-03-21T20:26:24.4357012Z     %transpose_432 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4357393Z     %select_510 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_432, 0, 0), kwargs = {})
2025-03-21T20:26:24.4357754Z     %select_511 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_510, 0, 3), kwargs = {})
2025-03-21T20:26:24.4358165Z     %transpose_433 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4358575Z     %select_512 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_433, 0, 0), kwargs = {})
2025-03-21T20:26:24.4358942Z     %select_513 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_512, 0, 4), kwargs = {})
2025-03-21T20:26:24.4359339Z     %transpose_434 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4359716Z     %select_514 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_434, 0, 0), kwargs = {})
2025-03-21T20:26:24.4360073Z     %select_515 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_514, 0, 5), kwargs = {})
2025-03-21T20:26:24.4360488Z     %transpose_435 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4360858Z     %select_516 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_435, 0, 0), kwargs = {})
2025-03-21T20:26:24.4361229Z     %select_517 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_516, 0, 6), kwargs = {})
2025-03-21T20:26:24.4361627Z     %transpose_436 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4361995Z     %select_518 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_436, 0, 0), kwargs = {})
2025-03-21T20:26:24.4362364Z     %select_519 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_518, 0, 7), kwargs = {})
2025-03-21T20:26:24.4362874Z     %transpose_437 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4363310Z     %select_520 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_437, 0, 0), kwargs = {})
2025-03-21T20:26:24.4363675Z     %select_521 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_520, 0, 8), kwargs = {})
2025-03-21T20:26:24.4364089Z     %transpose_438 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4364456Z     %select_522 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_438, 0, 0), kwargs = {})
2025-03-21T20:26:24.4364827Z     %select_523 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_522, 0, 9), kwargs = {})
2025-03-21T20:26:24.4365223Z     %transpose_439 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4365603Z     %select_524 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_439, 0, 0), kwargs = {})
2025-03-21T20:26:24.4365975Z     %select_525 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_524, 0, 10), kwargs = {})
2025-03-21T20:26:24.4366374Z     %transpose_440 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4366754Z     %select_526 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_440, 0, 0), kwargs = {})
2025-03-21T20:26:24.4367114Z     %select_527 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_526, 0, 11), kwargs = {})
2025-03-21T20:26:24.4367882Z     %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 = {})
2025-03-21T20:26:24.4368269Z     %view_130 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_21, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4368940Z     %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 = {})
2025-03-21T20:26:24.4369340Z     %transpose_441 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_129, -2, -1), kwargs = {})
2025-03-21T20:26:24.4369778Z     %matmul_20 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_416, %transpose_441), kwargs = {})
2025-03-21T20:26:24.4370127Z     %mul_108 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_20, 0.125), kwargs = {})
2025-03-21T20:26:24.4370484Z     %add_52 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_108, %index_12), kwargs = {})
2025-03-21T20:26:24.4370841Z     %softmax_10 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_52, -1), kwargs = {})
2025-03-21T20:26:24.4371250Z     %matmul_21 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_10, %view_130), kwargs = {})
2025-03-21T20:26:24.4371641Z     %transpose_442 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_21, 1, 2), kwargs = {})
2025-03-21T20:26:24.4372039Z     %view_131 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_442, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.4372431Z     %unsqueeze_73 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_131, -1), kwargs = {})
2025-03-21T20:26:24.4372833Z     %transpose_443 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_73, 1, 2), kwargs = {})
2025-03-21T20:26:24.4373445Z     %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 = {})
2025-03-21T20:26:24.4373895Z     %transpose_444 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_73, 1, 2), kwargs = {})
2025-03-21T20:26:24.4374277Z     %squeeze_73 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_444, -1), kwargs = {})
2025-03-21T20:26:24.4374627Z     %add_53 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_49, %squeeze_73), kwargs = {})
2025-03-21T20:26:24.4375178Z     %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 = {})
2025-03-21T20:26:24.4375586Z     %unsqueeze_74 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_21, -1), kwargs = {})
2025-03-21T20:26:24.4375997Z     %transpose_445 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_74, 1, 2), kwargs = {})
2025-03-21T20:26:24.4376581Z     %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 = {})
2025-03-21T20:26:24.4376979Z     %transpose_446 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_74, 1, 2), kwargs = {})
2025-03-21T20:26:24.4377352Z     %squeeze_74 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_446, -1), kwargs = {})
2025-03-21T20:26:24.4377702Z     %silu_10 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_74,), kwargs = {})
2025-03-21T20:26:24.4378112Z     %unsqueeze_75 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_21, -1), kwargs = {})
2025-03-21T20:26:24.4378513Z     %transpose_447 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_75, 1, 2), kwargs = {})
2025-03-21T20:26:24.4379107Z     %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 = {})
2025-03-21T20:26:24.4379524Z     %transpose_448 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_75, 1, 2), kwargs = {})
2025-03-21T20:26:24.4379906Z     %squeeze_75 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_448, -1), kwargs = {})
2025-03-21T20:26:24.4380261Z     %mul_109 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_10, %squeeze_75), kwargs = {})
2025-03-21T20:26:24.4380661Z     %unsqueeze_76 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_109, -1), kwargs = {})
2025-03-21T20:26:24.4381062Z     %transpose_449 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_76, 1, 2), kwargs = {})
2025-03-21T20:26:24.4381661Z     %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 = {})
2025-03-21T20:26:24.4382050Z     %transpose_450 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_76, 1, 2), kwargs = {})
2025-03-21T20:26:24.4382437Z     %squeeze_76 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_450, -1), kwargs = {})
2025-03-21T20:26:24.4382781Z     %add_54 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_53, %squeeze_76), kwargs = {})
2025-03-21T20:26:24.4383357Z     %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 = {})
2025-03-21T20:26:24.4383788Z     %unsqueeze_77 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_22, -1), kwargs = {})
2025-03-21T20:26:24.4384250Z     %transpose_451 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_77, 1, 2), kwargs = {})
2025-03-21T20:26:24.4384822Z     %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 = {})
2025-03-21T20:26:24.4385207Z     %transpose_452 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_77, 1, 2), kwargs = {})
2025-03-21T20:26:24.4385590Z     %squeeze_77 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_452, -1), kwargs = {})
2025-03-21T20:26:24.4385994Z     %unsqueeze_78 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_22, -1), kwargs = {})
2025-03-21T20:26:24.4386404Z     %transpose_453 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_78, 1, 2), kwargs = {})
2025-03-21T20:26:24.4386977Z     %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 = {})
2025-03-21T20:26:24.4387373Z     %transpose_454 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_78, 1, 2), kwargs = {})
2025-03-21T20:26:24.4387746Z     %squeeze_78 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_454, -1), kwargs = {})
2025-03-21T20:26:24.4388157Z     %unsqueeze_79 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_22, -1), kwargs = {})
2025-03-21T20:26:24.4388559Z     %transpose_455 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_79, 1, 2), kwargs = {})
2025-03-21T20:26:24.4389138Z     %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 = {})
2025-03-21T20:26:24.4389529Z     %transpose_456 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_79, 1, 2), kwargs = {})
2025-03-21T20:26:24.4389936Z     %squeeze_79 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_456, -1), kwargs = {})
2025-03-21T20:26:24.4390324Z     %view_132 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_77, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4390720Z     %view_133 : [num_users=2] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_78, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4391106Z     %view_134 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%squeeze_79, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4391525Z     %_to_copy_22 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_132,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4391940Z     %view_135 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_22, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4392292Z     %unbind_22 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_135, -1), kwargs = {})
2025-03-21T20:26:24.4392619Z     %getitem_44 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_22, 0), kwargs = {})
2025-03-21T20:26:24.4392934Z     %getitem_45 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_22, 1), kwargs = {})
2025-03-21T20:26:24.4393359Z     %_to_copy_23 : [num_users=1] = call_function[target=torch.ops.aten._to_copy.default](args = (%view_133,), kwargs = {dtype: torch.float32})
2025-03-21T20:26:24.4393757Z     %view_136 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%_to_copy_23, [1, 1, 12, -1, 2]), kwargs = {})
2025-03-21T20:26:24.4394139Z     %unbind_23 : [num_users=2] = call_function[target=torch.ops.aten.unbind.int](args = (%view_136, -1), kwargs = {})
2025-03-21T20:26:24.4394504Z     %getitem_46 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_23, 0), kwargs = {})
2025-03-21T20:26:24.4394839Z     %getitem_47 : [num_users=2] = call_function[target=operator.getitem](args = (%unbind_23, 1), kwargs = {})
2025-03-21T20:26:24.4395211Z     %view_137 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4395588Z     %view_138 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index_1, [1, 1, 1, 32]), kwargs = {})
2025-03-21T20:26:24.4395961Z     %mul_110 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_44, %view_137), kwargs = {})
2025-03-21T20:26:24.4396322Z     %mul_111 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_45, %view_138), kwargs = {})
2025-03-21T20:26:24.4396681Z     %sub_22 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_110, %mul_111), kwargs = {})
2025-03-21T20:26:24.4397046Z     %mul_112 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_44, %view_138), kwargs = {})
2025-03-21T20:26:24.4397415Z     %mul_113 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_45, %view_137), kwargs = {})
2025-03-21T20:26:24.4397760Z     %add_55 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_112, %mul_113), kwargs = {})
2025-03-21T20:26:24.4398134Z     %mul_114 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_46, %view_137), kwargs = {})
2025-03-21T20:26:24.4398497Z     %mul_115 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_47, %view_138), kwargs = {})
2025-03-21T20:26:24.4398853Z     %sub_23 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_114, %mul_115), kwargs = {})
2025-03-21T20:26:24.4399217Z     %mul_116 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_46, %view_138), kwargs = {})
2025-03-21T20:26:24.4399609Z     %mul_117 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%getitem_47, %view_137), kwargs = {})
2025-03-21T20:26:24.4399963Z     %add_56 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_116, %mul_117), kwargs = {})
2025-03-21T20:26:24.4400347Z     %stack_22 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_22, %add_55], -1), kwargs = {})
2025-03-21T20:26:24.4400740Z     %view_139 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_22, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4401120Z     %stack_23 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_23, %add_56], -1), kwargs = {})
2025-03-21T20:26:24.4401516Z     %view_140 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_23, [1, 1, 12, 64]), kwargs = {})
2025-03-21T20:26:24.4401901Z     %type_as_22 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_139, %view_132), kwargs = {})
2025-03-21T20:26:24.4402295Z     %type_as_23 : [num_users=1] = call_function[target=torch.ops.aten.type_as.default](args = (%view_140, %view_133), kwargs = {})
2025-03-21T20:26:24.4402769Z     %transpose_457 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%type_as_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4403503Z     %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 = {})
2025-03-21T20:26:24.4404206Z     %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 = {})
2025-03-21T20:26:24.4404707Z     %transpose_458 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4405086Z     %select_528 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_458, 0, 0), kwargs = {})
2025-03-21T20:26:24.4405461Z     %select_529 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_528, 0, 0), kwargs = {})
2025-03-21T20:26:24.4405860Z     %transpose_459 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4406230Z     %select_530 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_459, 0, 0), kwargs = {})
2025-03-21T20:26:24.4406604Z     %select_531 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_530, 0, 1), kwargs = {})
2025-03-21T20:26:24.4407007Z     %transpose_460 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4407394Z     %select_532 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_460, 0, 0), kwargs = {})
2025-03-21T20:26:24.4407756Z     %select_533 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_532, 0, 2), kwargs = {})
2025-03-21T20:26:24.4408166Z     %transpose_461 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4408538Z     %select_534 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_461, 0, 0), kwargs = {})
2025-03-21T20:26:24.4408908Z     %select_535 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_534, 0, 3), kwargs = {})
2025-03-21T20:26:24.4409310Z     %transpose_462 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4409696Z     %select_536 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_462, 0, 0), kwargs = {})
2025-03-21T20:26:24.4410086Z     %select_537 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_536, 0, 4), kwargs = {})
2025-03-21T20:26:24.4410497Z     %transpose_463 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4410867Z     %select_538 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_463, 0, 0), kwargs = {})
2025-03-21T20:26:24.4411228Z     %select_539 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_538, 0, 5), kwargs = {})
2025-03-21T20:26:24.4411639Z     %transpose_464 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4412011Z     %select_540 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_464, 0, 0), kwargs = {})
2025-03-21T20:26:24.4412384Z     %select_541 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_540, 0, 6), kwargs = {})
2025-03-21T20:26:24.4412785Z     %transpose_465 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4413159Z     %select_542 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_465, 0, 0), kwargs = {})
2025-03-21T20:26:24.4413518Z     %select_543 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_542, 0, 7), kwargs = {})
2025-03-21T20:26:24.4413925Z     %transpose_466 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4414290Z     %select_544 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_466, 0, 0), kwargs = {})
2025-03-21T20:26:24.4414748Z     %select_545 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_544, 0, 8), kwargs = {})
2025-03-21T20:26:24.4415153Z     %transpose_467 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4415522Z     %select_546 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_467, 0, 0), kwargs = {})
2025-03-21T20:26:24.4415894Z     %select_547 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_546, 0, 9), kwargs = {})
2025-03-21T20:26:24.4416297Z     %transpose_468 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4416677Z     %select_548 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_468, 0, 0), kwargs = {})
2025-03-21T20:26:24.4417039Z     %select_549 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_548, 0, 10), kwargs = {})
2025-03-21T20:26:24.4417452Z     %transpose_469 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_22, 1, 2), kwargs = {})
2025-03-21T20:26:24.4417825Z     %select_550 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_469, 0, 0), kwargs = {})
2025-03-21T20:26:24.4418195Z     %select_551 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_550, 0, 11), kwargs = {})
2025-03-21T20:26:24.4418955Z     %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 = {})
2025-03-21T20:26:24.4419348Z     %view_141 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_22, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4419748Z     %transpose_470 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4420163Z     %select_552 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_470, 0, 0), kwargs = {})
2025-03-21T20:26:24.4420521Z     %select_553 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_552, 0, 0), kwargs = {})
2025-03-21T20:26:24.4420920Z     %transpose_471 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4421302Z     %select_554 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_471, 0, 0), kwargs = {})
2025-03-21T20:26:24.4421660Z     %select_555 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_554, 0, 1), kwargs = {})
2025-03-21T20:26:24.4422064Z     %transpose_472 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4422442Z     %select_556 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_472, 0, 0), kwargs = {})
2025-03-21T20:26:24.4422813Z     %select_557 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_556, 0, 2), kwargs = {})
2025-03-21T20:26:24.4423213Z     %transpose_473 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4423590Z     %select_558 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_473, 0, 0), kwargs = {})
2025-03-21T20:26:24.4423949Z     %select_559 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_558, 0, 3), kwargs = {})
2025-03-21T20:26:24.4424501Z     %transpose_474 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4424925Z     %select_560 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_474, 0, 0), kwargs = {})
2025-03-21T20:26:24.4425354Z     %select_561 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_560, 0, 4), kwargs = {})
2025-03-21T20:26:24.4425753Z     %transpose_475 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4426123Z     %select_562 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_475, 0, 0), kwargs = {})
2025-03-21T20:26:24.4426493Z     %select_563 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_562, 0, 5), kwargs = {})
2025-03-21T20:26:24.4426892Z     %transpose_476 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4427265Z     %select_564 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_476, 0, 0), kwargs = {})
2025-03-21T20:26:24.4427630Z     %select_565 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_564, 0, 6), kwargs = {})
2025-03-21T20:26:24.4428042Z     %transpose_477 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4428411Z     %select_566 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_477, 0, 0), kwargs = {})
2025-03-21T20:26:24.4428770Z     %select_567 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_566, 0, 7), kwargs = {})
2025-03-21T20:26:24.4429167Z     %transpose_478 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4429540Z     %select_568 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_478, 0, 0), kwargs = {})
2025-03-21T20:26:24.4429896Z     %select_569 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_568, 0, 8), kwargs = {})
2025-03-21T20:26:24.4430297Z     %transpose_479 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4430722Z     %select_570 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_479, 0, 0), kwargs = {})
2025-03-21T20:26:24.4431080Z     %select_571 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_570, 0, 9), kwargs = {})
2025-03-21T20:26:24.4431492Z     %transpose_480 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4431862Z     %select_572 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_480, 0, 0), kwargs = {})
2025-03-21T20:26:24.4432228Z     %select_573 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_572, 0, 10), kwargs = {})
2025-03-21T20:26:24.4432625Z     %transpose_481 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%index_put_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4433000Z     %select_574 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%transpose_481, 0, 0), kwargs = {})
2025-03-21T20:26:24.4433361Z     %select_575 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%select_574, 0, 11), kwargs = {})
2025-03-21T20:26:24.4434128Z     %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 = {})
2025-03-21T20:26:24.4434514Z     %view_142 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%cat_23, [1, 12, 128, 64]), kwargs = {})
2025-03-21T20:26:24.4435085Z     %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 = {})
2025-03-21T20:26:24.4435560Z     %transpose_482 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_141, -2, -1), kwargs = {})
2025-03-21T20:26:24.4436000Z     %matmul_22 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%transpose_457, %transpose_482), kwargs = {})
2025-03-21T20:26:24.4436349Z     %mul_118 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%matmul_22, 0.125), kwargs = {})
2025-03-21T20:26:24.4436696Z     %add_57 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_118, %index_13), kwargs = {})
2025-03-21T20:26:24.4437057Z     %softmax_11 : [num_users=1] = call_function[target=torch.ops.aten.softmax.int](args = (%add_57, -1), kwargs = {})
2025-03-21T20:26:24.4437452Z     %matmul_23 : [num_users=1] = call_function[target=torch.ops.aten.matmul.default](args = (%softmax_11, %view_142), kwargs = {})
2025-03-21T20:26:24.4437855Z     %transpose_483 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%matmul_23, 1, 2), kwargs = {})
2025-03-21T20:26:24.4438251Z     %view_143 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_483, [1, 1, 768]), kwargs = {})
2025-03-21T20:26:24.4438655Z     %unsqueeze_80 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%view_143, -1), kwargs = {})
2025-03-21T20:26:24.4439056Z     %transpose_484 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_80, 1, 2), kwargs = {})
2025-03-21T20:26:24.4439642Z     %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 = {})
2025-03-21T20:26:24.4440033Z     %transpose_485 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_80, 1, 2), kwargs = {})
2025-03-21T20:26:24.4440421Z     %squeeze_80 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_485, -1), kwargs = {})
2025-03-21T20:26:24.4440805Z     %add_58 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_54, %squeeze_80), kwargs = {})
2025-03-21T20:26:24.4441357Z     %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 = {})
2025-03-21T20:26:24.4441767Z     %unsqueeze_81 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_23, -1), kwargs = {})
2025-03-21T20:26:24.4442167Z     %transpose_486 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_81, 1, 2), kwargs = {})
2025-03-21T20:26:24.4442825Z     %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 = {})
2025-03-21T20:26:24.4443223Z     %transpose_487 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_81, 1, 2), kwargs = {})
2025-03-21T20:26:24.4443611Z     %squeeze_81 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_487, -1), kwargs = {})
2025-03-21T20:26:24.4443954Z     %silu_11 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%squeeze_81,), kwargs = {})
2025-03-21T20:26:24.4444369Z     %unsqueeze_82 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%rms_norm_23, -1), kwargs = {})
2025-03-21T20:26:24.4444769Z     %transpose_488 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_82, 1, 2), kwargs = {})
2025-03-21T20:26:24.4445360Z     %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 = {})
2025-03-21T20:26:24.4445784Z     %transpose_489 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_82, 1, 2), kwargs = {})
2025-03-21T20:26:24.4446221Z     %squeeze_82 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_489, -1), kwargs = {})
2025-03-21T20:26:24.4446579Z     %mul_119 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_11, %squeeze_82), kwargs = {})
2025-03-21T20:26:24.4446981Z     %unsqueeze_83 : [num_users=1] = call_function[target=torch.ops.aten.unsqueeze.default](args = (%mul_119, -1), kwargs = {})
2025-03-21T20:26:24.4447383Z     %transpose_490 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%unsqueeze_83, 1, 2), kwargs = {})
2025-03-21T20:26:24.4447972Z     %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 = {})
2025-03-21T20:26:24.4448364Z     %transpose_491 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_83, 1, 2), kwargs = {})
2025-03-21T20:26:24.4448741Z     %squeeze_83 : [num_users=1] = call_function[target=torch.ops.aten.squeeze.dim](args = (%transpose_491, -1), kwargs = {})
2025-03-21T20:26:24.4449102Z     %add_59 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_58, %squeeze_83), kwargs = {})
2025-03-21T20:26:24.4449504Z     %slice_1 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%add_59, 0, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:26:24.4449869Z     %select_576 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%slice_1, 1, -1), kwargs = {})
2025-03-21T20:26:24.4450283Z     %slice_2 : [num_users=1] = call_function[target=torch.ops.aten.slice.Tensor](args = (%select_576, 1, 0, 9223372036854775807), kwargs = {})
2025-03-21T20:26:24.4450733Z     %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 = {})
2025-03-21T20:26:24.4451133Z     %view_144 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%rms_norm_24, [1, 1, 768, 1]), kwargs = {})
2025-03-21T20:26:24.4451554Z     %transpose_492 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%view_144, 1, 2), kwargs = {})
2025-03-21T20:26:24.4452002Z     %conv2d_84 : [num_users=1] = call_function[target=torch.ops.aten.conv2d.default](args = (%transpose_492, %p_output_conv_weight), kwargs = {})
2025-03-21T20:26:24.4452402Z     %transpose_493 : [num_users=1] = call_function[target=torch.ops.aten.transpose.int](args = (%conv2d_84, 1, 2), kwargs = {})
2025-03-21T20:26:24.4452792Z     %view_145 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%transpose_493, [1, 32000]), kwargs = {})
2025-03-21T20:26:24.4453361Z     %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 = {})
2025-03-21T20:26:24.4453933Z     %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 = {})
2025-03-21T20:26:24.4454506Z     %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 = {})
2025-03-21T20:26:24.4455069Z     %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 = {})
2025-03-21T20:26:24.4455630Z     %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 = {})
2025-03-21T20:26:24.4456199Z     %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 = {})
2025-03-21T20:26:24.4456845Z     %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 = {})
2025-03-21T20:26:24.4457423Z     %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 = {})
2025-03-21T20:26:24.4457981Z     %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 = {})
2025-03-21T20:26:24.4458554Z     %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 = {})
2025-03-21T20:26:24.4459119Z     %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 = {})
2025-03-21T20:26:24.4459701Z     %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 = {})
2025-03-21T20:26:24.4460272Z     %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 = {})
2025-03-21T20:26:24.4460847Z     %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 = {})
2025-03-21T20:26:24.4461413Z     %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 = {})
2025-03-21T20:26:24.4461993Z     %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 = {})
2025-03-21T20:26:24.4462588Z     %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 = {})
2025-03-21T20:26:24.4463164Z     %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 = {})
2025-03-21T20:26:24.4463728Z     %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 = {})
2025-03-21T20:26:24.4464299Z     %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 = {})
2025-03-21T20:26:24.4464875Z     %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 = {})
2025-03-21T20:26:24.4465453Z     %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 = {})
2025-03-21T20:26:24.4466020Z     %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 = {})
2025-03-21T20:26:39.9152305Z     %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 = {})
2025-03-21T20:26:39.9154609Z     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)
2025-03-21T20:26:39.9158638Z /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.)
2025-03-21T20:26:39.9161212Z   torch._C._set_onednn_allow_tf32(_allow_tf32)
2025-03-21T20:26:39.9161881Z [INFO 2025-03-21 20:26:39,914 utils.py:70] Exported graph:
2025-03-21T20:26:39.9162645Z ExportedProgram:
2025-03-21T20:26:39.9163140Z     class GraphModule(torch.nn.Module):
2025-03-21T20:26:39.9209663Z         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]"):
2025-03-21T20:26:39.9249174Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:161 in forward, code: h = self.tok_embeddings(tokens)
2025-03-21T20:26:39.9250756Z             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
2025-03-21T20:26:39.9251561Z             
2025-03-21T20:26:39.9252241Z              # File: /pytorch/executorch/examples/models/llama/rope.py:300 in get_freqs, code: freqs_cos = self.freqs_cos[input_pos]
2025-03-21T20:26:39.9269838Z             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
2025-03-21T20:26:39.9271286Z             
2025-03-21T20:26:39.9272214Z              # File: /pytorch/executorch/examples/models/llama/rope.py:301 in get_freqs, code: freqs_sin = self.freqs_sin[input_pos]
2025-03-21T20:26:39.9274024Z             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
2025-03-21T20:26:39.9275622Z             
2025-03-21T20:26:39.9276960Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:39.9278687Z             aten_pow_tensor_scalar: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_embedding_default, 2)
2025-03-21T20:26:39.9280500Z             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
2025-03-21T20:26:39.9282381Z             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
2025-03-21T20:26:39.9284351Z             aten_rsqrt_default: "f32[1, 1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar);  aten_add_scalar = None
2025-03-21T20:26:39.9286259Z             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
2025-03-21T20:26:39.9288893Z             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
2025-03-21T20:26:39.9290428Z             
2025-03-21T20:26:39.9291667Z              # 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)
2025-03-21T20:26:39.9293674Z             aten_unsqueeze_copy_default: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_1, -1)
2025-03-21T20:26:39.9294837Z             
2025-03-21T20:26:39.9295831Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9297188Z             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
2025-03-21T20:26:39.9298003Z             
2025-03-21T20:26:39.9298519Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9299908Z             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
2025-03-21T20:26:39.9301020Z             
2025-03-21T20:26:39.9301583Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9302716Z             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
2025-03-21T20:26:39.9303523Z             
2025-03-21T20:26:39.9304194Z              # 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])
2025-03-21T20:26:39.9305450Z             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
2025-03-21T20:26:39.9306208Z             
2025-03-21T20:26:39.9306873Z              # 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)
2025-03-21T20:26:39.9307942Z             aten_unsqueeze_copy_default_1: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_1, -1)
2025-03-21T20:26:39.9308575Z             
2025-03-21T20:26:39.9309117Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9310253Z             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
2025-03-21T20:26:39.9311080Z             
2025-03-21T20:26:39.9311590Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9312987Z             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
2025-03-21T20:26:39.9314100Z             
2025-03-21T20:26:39.9314662Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9315892Z             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
2025-03-21T20:26:39.9316693Z             
2025-03-21T20:26:39.9317375Z              # 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])
2025-03-21T20:26:39.9318582Z             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
2025-03-21T20:26:39.9319342Z             
2025-03-21T20:26:39.9320001Z              # 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)
2025-03-21T20:26:39.9321163Z             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
2025-03-21T20:26:39.9321893Z             
2025-03-21T20:26:39.9322498Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9323646Z             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
2025-03-21T20:26:39.9324647Z             
2025-03-21T20:26:39.9325160Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9326560Z             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
2025-03-21T20:26:39.9327684Z             
2025-03-21T20:26:39.9328251Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9329482Z             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
2025-03-21T20:26:39.9330282Z             
2025-03-21T20:26:39.9330965Z              # 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])
2025-03-21T20:26:39.9332178Z             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
2025-03-21T20:26:39.9332941Z             
2025-03-21T20:26:39.9333607Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:39.9334793Z             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
2025-03-21T20:26:39.9335543Z             
2025-03-21T20:26:39.9336198Z              # 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)
2025-03-21T20:26:39.9337390Z             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
2025-03-21T20:26:39.9338148Z             
2025-03-21T20:26:39.9338815Z              # 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)
2025-03-21T20:26:39.9340139Z             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
2025-03-21T20:26:39.9340901Z             
2025-03-21T20:26:39.9341577Z              # 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)
2025-03-21T20:26:39.9342763Z             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
2025-03-21T20:26:39.9343849Z             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)
2025-03-21T20:26:39.9344923Z             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
2025-03-21T20:26:39.9346102Z             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
2025-03-21T20:26:39.9347258Z             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
2025-03-21T20:26:39.9347990Z             
2025-03-21T20:26:39.9348660Z              # 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)
2025-03-21T20:26:39.9349861Z             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
2025-03-21T20:26:39.9350954Z             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)
2025-03-21T20:26:39.9352021Z             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
2025-03-21T20:26:39.9353224Z             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
2025-03-21T20:26:39.9354381Z             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
2025-03-21T20:26:39.9355113Z             
2025-03-21T20:26:39.9355700Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:39.9356679Z             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])
2025-03-21T20:26:39.9357301Z             
2025-03-21T20:26:39.9357872Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:39.9358845Z             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])
2025-03-21T20:26:39.9359466Z             
2025-03-21T20:26:39.9360083Z              # 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
2025-03-21T20:26:39.9361108Z             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)
2025-03-21T20:26:39.9362075Z             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)
2025-03-21T20:26:39.9363363Z             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
2025-03-21T20:26:39.9364105Z             
2025-03-21T20:26:39.9364710Z              # 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
2025-03-21T20:26:39.9365843Z             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
2025-03-21T20:26:39.9367036Z             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
2025-03-21T20:26:39.9368217Z             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
2025-03-21T20:26:39.9368961Z             
2025-03-21T20:26:39.9369582Z              # 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
2025-03-21T20:26:39.9370609Z             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)
2025-03-21T20:26:39.9371572Z             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)
2025-03-21T20:26:39.9372640Z             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
2025-03-21T20:26:39.9373361Z             
2025-03-21T20:26:39.9373977Z              # 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
2025-03-21T20:26:39.9375200Z             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
2025-03-21T20:26:39.9376608Z             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
2025-03-21T20:26:39.9377882Z             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
2025-03-21T20:26:39.9378616Z             
2025-03-21T20:26:39.9379279Z              # 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)
2025-03-21T20:26:39.9380436Z             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
2025-03-21T20:26:39.9381562Z             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
2025-03-21T20:26:39.9382914Z             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
2025-03-21T20:26:39.9384281Z             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
2025-03-21T20:26:39.9385076Z             
2025-03-21T20:26:39.9385776Z              # 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)
2025-03-21T20:26:39.9386991Z             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
2025-03-21T20:26:39.9388140Z             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
2025-03-21T20:26:39.9389516Z             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
2025-03-21T20:26:39.9390880Z             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
2025-03-21T20:26:39.9391598Z             
2025-03-21T20:26:39.9392262Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:39.9393494Z             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
2025-03-21T20:26:39.9394280Z             
2025-03-21T20:26:39.9395097Z              # 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)
2025-03-21T20:26:39.9396661Z             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
2025-03-21T20:26:39.9397648Z             
2025-03-21T20:26:39.9398466Z              # 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)
2025-03-21T20:26:39.9400055Z             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
2025-03-21T20:26:39.9401025Z             
2025-03-21T20:26:39.9401807Z              # 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)
2025-03-21T20:26:39.9403111Z             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])
2025-03-21T20:26:39.9404238Z             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
2025-03-21T20:26:39.9405374Z             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
2025-03-21T20:26:39.9406437Z             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])
2025-03-21T20:26:39.9407551Z             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
2025-03-21T20:26:39.9408690Z             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
2025-03-21T20:26:39.9410304Z             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])
2025-03-21T20:26:39.9411408Z             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
2025-03-21T20:26:39.9412548Z             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
2025-03-21T20:26:39.9413628Z             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])
2025-03-21T20:26:39.9414754Z             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
2025-03-21T20:26:39.9415910Z             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
2025-03-21T20:26:39.9416984Z             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])
2025-03-21T20:26:39.9418102Z             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
2025-03-21T20:26:39.9419247Z             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
2025-03-21T20:26:39.9420332Z             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])
2025-03-21T20:26:39.9421464Z             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
2025-03-21T20:26:39.9422650Z             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
2025-03-21T20:26:39.9423736Z             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])
2025-03-21T20:26:39.9425034Z             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
2025-03-21T20:26:39.9426180Z             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
2025-03-21T20:26:39.9427272Z             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])
2025-03-21T20:26:39.9428405Z             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
2025-03-21T20:26:39.9429568Z             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
2025-03-21T20:26:39.9430650Z             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])
2025-03-21T20:26:39.9431772Z             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
2025-03-21T20:26:39.9433063Z             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
2025-03-21T20:26:39.9434154Z             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])
2025-03-21T20:26:39.9435280Z             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
2025-03-21T20:26:39.9436436Z             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
2025-03-21T20:26:39.9437509Z             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])
2025-03-21T20:26:39.9438641Z             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
2025-03-21T20:26:39.9439805Z             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
2025-03-21T20:26:39.9440889Z             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])
2025-03-21T20:26:39.9442011Z             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
2025-03-21T20:26:39.9443228Z             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
2025-03-21T20:26:39.9446055Z             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
2025-03-21T20:26:39.9448916Z             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
2025-03-21T20:26:39.9449641Z             
2025-03-21T20:26:39.9450415Z              # 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)
2025-03-21T20:26:39.9451639Z             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])
2025-03-21T20:26:39.9452754Z             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
2025-03-21T20:26:39.9453888Z             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
2025-03-21T20:26:39.9454960Z             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])
2025-03-21T20:26:39.9456099Z             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
2025-03-21T20:26:39.9457304Z             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
2025-03-21T20:26:39.9458373Z             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])
2025-03-21T20:26:39.9459487Z             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
2025-03-21T20:26:39.9460638Z             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
2025-03-21T20:26:39.9461717Z             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])
2025-03-21T20:26:39.9462841Z             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
2025-03-21T20:26:39.9463987Z             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
2025-03-21T20:26:39.9465056Z             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])
2025-03-21T20:26:39.9466167Z             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
2025-03-21T20:26:39.9467305Z             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
2025-03-21T20:26:39.9468407Z             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])
2025-03-21T20:26:39.9469514Z             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
2025-03-21T20:26:39.9470650Z             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
2025-03-21T20:26:39.9471718Z             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])
2025-03-21T20:26:39.9472833Z             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
2025-03-21T20:26:39.9473971Z             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
2025-03-21T20:26:39.9475035Z             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])
2025-03-21T20:26:39.9476142Z             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
2025-03-21T20:26:39.9477282Z             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
2025-03-21T20:26:39.9478371Z             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])
2025-03-21T20:26:39.9479546Z             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
2025-03-21T20:26:39.9480682Z             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
2025-03-21T20:26:39.9481747Z             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])
2025-03-21T20:26:39.9482924Z             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
2025-03-21T20:26:39.9484072Z             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
2025-03-21T20:26:39.9485147Z             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])
2025-03-21T20:26:39.9486259Z             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
2025-03-21T20:26:39.9487396Z             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
2025-03-21T20:26:39.9488463Z             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])
2025-03-21T20:26:39.9489585Z             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
2025-03-21T20:26:39.9490754Z             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
2025-03-21T20:26:39.9493563Z             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
2025-03-21T20:26:39.9496384Z             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
2025-03-21T20:26:39.9497100Z             
2025-03-21T20:26:39.9497715Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:39.9498880Z             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
2025-03-21T20:26:39.9499641Z             
2025-03-21T20:26:39.9500341Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:39.9501684Z             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
2025-03-21T20:26:39.9502956Z             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
2025-03-21T20:26:39.9504190Z             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
2025-03-21T20:26:39.9505436Z             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
2025-03-21T20:26:39.9506703Z             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
2025-03-21T20:26:39.9508027Z             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
2025-03-21T20:26:39.9509283Z             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
2025-03-21T20:26:39.9510542Z             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
2025-03-21T20:26:39.9511391Z             
2025-03-21T20:26:39.9512006Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:39.9513150Z             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
2025-03-21T20:26:39.9513928Z             
2025-03-21T20:26:39.9514627Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:39.9515797Z             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
2025-03-21T20:26:39.9516482Z             
2025-03-21T20:26:39.9517074Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:39.9518207Z             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
2025-03-21T20:26:39.9519443Z             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
2025-03-21T20:26:39.9520705Z             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
2025-03-21T20:26:39.9521976Z             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
2025-03-21T20:26:39.9523374Z             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
2025-03-21T20:26:39.9524939Z             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
2025-03-21T20:26:39.9525669Z             
2025-03-21T20:26:39.9526433Z              # 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)
2025-03-21T20:26:39.9527766Z             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
2025-03-21T20:26:39.9529037Z             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
2025-03-21T20:26:39.9529817Z             
2025-03-21T20:26:39.9530491Z              # 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)
2025-03-21T20:26:39.9531723Z             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
2025-03-21T20:26:39.9532515Z             
2025-03-21T20:26:39.9533051Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9534203Z             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
2025-03-21T20:26:39.9535031Z             
2025-03-21T20:26:39.9535540Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9536953Z             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
2025-03-21T20:26:39.9538119Z             
2025-03-21T20:26:39.9538684Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9539831Z             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
2025-03-21T20:26:39.9540631Z             
2025-03-21T20:26:39.9541312Z              # 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])
2025-03-21T20:26:39.9542527Z             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
2025-03-21T20:26:39.9543298Z             
2025-03-21T20:26:39.9543815Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:39.9544943Z             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
2025-03-21T20:26:39.9545780Z             
2025-03-21T20:26:39.9546418Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:39.9547420Z             aten_pow_tensor_scalar_1: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_3, 2)
2025-03-21T20:26:39.9548372Z             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
2025-03-21T20:26:39.9549552Z             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
2025-03-21T20:26:39.9550804Z             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
2025-03-21T20:26:39.9551995Z             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
2025-03-21T20:26:39.9553836Z             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
2025-03-21T20:26:39.9554641Z             
2025-03-21T20:26:39.9555294Z              # 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)
2025-03-21T20:26:39.9556368Z             aten_unsqueeze_copy_default_8: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_12, -1)
2025-03-21T20:26:39.9557011Z             
2025-03-21T20:26:39.9557557Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9558696Z             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
2025-03-21T20:26:39.9559520Z             
2025-03-21T20:26:39.9560023Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9561441Z             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
2025-03-21T20:26:39.9562698Z             
2025-03-21T20:26:39.9563269Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9564425Z             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
2025-03-21T20:26:39.9565244Z             
2025-03-21T20:26:39.9565929Z              # 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])
2025-03-21T20:26:39.9567152Z             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
2025-03-21T20:26:39.9567926Z             
2025-03-21T20:26:39.9568575Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:39.9569593Z             aten_sigmoid_default: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_8)
2025-03-21T20:26:39.9570714Z             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
2025-03-21T20:26:39.9571537Z             
2025-03-21T20:26:39.9572197Z              # 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)
2025-03-21T20:26:39.9573394Z             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
2025-03-21T20:26:39.9574181Z             
2025-03-21T20:26:39.9574715Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9575855Z             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
2025-03-21T20:26:39.9576676Z             
2025-03-21T20:26:39.9577181Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9578600Z             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
2025-03-21T20:26:39.9579735Z             
2025-03-21T20:26:39.9580304Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9581445Z             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
2025-03-21T20:26:39.9582256Z             
2025-03-21T20:26:39.9582942Z              # 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])
2025-03-21T20:26:39.9584162Z             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
2025-03-21T20:26:39.9584932Z             
2025-03-21T20:26:39.9585588Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:39.9586847Z             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
2025-03-21T20:26:39.9587647Z             
2025-03-21T20:26:39.9588295Z              # 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)
2025-03-21T20:26:39.9589467Z             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
2025-03-21T20:26:39.9590210Z             
2025-03-21T20:26:39.9590755Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9591914Z             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
2025-03-21T20:26:39.9592746Z             
2025-03-21T20:26:39.9593240Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9594656Z             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
2025-03-21T20:26:39.9595784Z             
2025-03-21T20:26:39.9596345Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9597570Z             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
2025-03-21T20:26:39.9598382Z             
2025-03-21T20:26:39.9599060Z              # 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])
2025-03-21T20:26:39.9600272Z             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
2025-03-21T20:26:39.9601027Z             
2025-03-21T20:26:39.9601681Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:39.9602973Z             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
2025-03-21T20:26:39.9603774Z             
2025-03-21T20:26:39.9604497Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:39.9605565Z             aten_pow_tensor_scalar_2: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_4, 2)
2025-03-21T20:26:39.9606525Z             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
2025-03-21T20:26:39.9607559Z             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
2025-03-21T20:26:39.9608538Z             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
2025-03-21T20:26:39.9609581Z             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
2025-03-21T20:26:39.9610870Z             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
2025-03-21T20:26:39.9611727Z             
2025-03-21T20:26:39.9612400Z              # 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)
2025-03-21T20:26:39.9613478Z             aten_unsqueeze_copy_default_11: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_16, -1)
2025-03-21T20:26:39.9614124Z             
2025-03-21T20:26:39.9614660Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9615816Z             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
2025-03-21T20:26:39.9616644Z             
2025-03-21T20:26:39.9617153Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9618551Z             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
2025-03-21T20:26:39.9619670Z             
2025-03-21T20:26:39.9620239Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9621459Z             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
2025-03-21T20:26:39.9622251Z             
2025-03-21T20:26:39.9622926Z              # 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])
2025-03-21T20:26:39.9624142Z             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
2025-03-21T20:26:39.9625087Z             
2025-03-21T20:26:39.9625751Z              # 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)
2025-03-21T20:26:39.9626821Z             aten_unsqueeze_copy_default_12: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_16, -1)
2025-03-21T20:26:39.9627463Z             
2025-03-21T20:26:39.9628004Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9629151Z             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
2025-03-21T20:26:39.9629978Z             
2025-03-21T20:26:39.9630486Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9631889Z             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
2025-03-21T20:26:39.9633012Z             
2025-03-21T20:26:39.9633583Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9634796Z             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
2025-03-21T20:26:39.9635610Z             
2025-03-21T20:26:39.9636288Z              # 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])
2025-03-21T20:26:39.9637507Z             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
2025-03-21T20:26:39.9638269Z             
2025-03-21T20:26:39.9638930Z              # 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)
2025-03-21T20:26:39.9640103Z             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
2025-03-21T20:26:39.9640825Z             
2025-03-21T20:26:39.9641371Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9642577Z             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
2025-03-21T20:26:39.9643410Z             
2025-03-21T20:26:39.9643920Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9645438Z             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
2025-03-21T20:26:39.9646561Z             
2025-03-21T20:26:39.9647111Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9648258Z             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
2025-03-21T20:26:39.9649071Z             
2025-03-21T20:26:39.9649755Z              # 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])
2025-03-21T20:26:39.9650973Z             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
2025-03-21T20:26:39.9651746Z             
2025-03-21T20:26:39.9652407Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:39.9653604Z             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
2025-03-21T20:26:39.9654350Z             
2025-03-21T20:26:39.9655018Z              # 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)
2025-03-21T20:26:39.9656216Z             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
2025-03-21T20:26:39.9656983Z             
2025-03-21T20:26:39.9657648Z              # 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)
2025-03-21T20:26:39.9658872Z             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
2025-03-21T20:26:39.9659631Z             
2025-03-21T20:26:39.9660291Z              # 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)
2025-03-21T20:26:39.9661496Z             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
2025-03-21T20:26:39.9662604Z             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)
2025-03-21T20:26:39.9663683Z             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
2025-03-21T20:26:39.9664862Z             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
2025-03-21T20:26:39.9666024Z             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
2025-03-21T20:26:39.9666755Z             
2025-03-21T20:26:39.9667424Z              # 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)
2025-03-21T20:26:39.9668703Z             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
2025-03-21T20:26:39.9669793Z             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)
2025-03-21T20:26:39.9670871Z             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
2025-03-21T20:26:39.9672048Z             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
2025-03-21T20:26:39.9673208Z             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
2025-03-21T20:26:39.9673940Z             
2025-03-21T20:26:39.9674531Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:39.9675502Z             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])
2025-03-21T20:26:39.9676123Z             
2025-03-21T20:26:39.9676687Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:39.9677660Z             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])
2025-03-21T20:26:39.9678283Z             
2025-03-21T20:26:39.9678897Z              # 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
2025-03-21T20:26:39.9679935Z             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)
2025-03-21T20:26:39.9680954Z             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)
2025-03-21T20:26:39.9682048Z             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
2025-03-21T20:26:39.9682846Z             
2025-03-21T20:26:39.9683472Z              # 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
2025-03-21T20:26:39.9684627Z             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
2025-03-21T20:26:39.9685858Z             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
2025-03-21T20:26:39.9687073Z             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
2025-03-21T20:26:39.9687825Z             
2025-03-21T20:26:39.9688446Z              # 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
2025-03-21T20:26:39.9689481Z             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)
2025-03-21T20:26:39.9690460Z             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)
2025-03-21T20:26:39.9691635Z             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
2025-03-21T20:26:39.9692394Z             
2025-03-21T20:26:39.9693021Z              # 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
2025-03-21T20:26:39.9694268Z             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
2025-03-21T20:26:39.9695677Z             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
2025-03-21T20:26:39.9696986Z             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
2025-03-21T20:26:39.9697737Z             
2025-03-21T20:26:39.9698396Z              # 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)
2025-03-21T20:26:39.9699565Z             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
2025-03-21T20:26:39.9700715Z             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
2025-03-21T20:26:39.9702109Z             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
2025-03-21T20:26:39.9703495Z             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
2025-03-21T20:26:39.9704248Z             
2025-03-21T20:26:39.9704914Z              # 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)
2025-03-21T20:26:39.9706080Z             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
2025-03-21T20:26:39.9707232Z             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
2025-03-21T20:26:39.9708610Z             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
2025-03-21T20:26:39.9709995Z             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
2025-03-21T20:26:39.9710715Z             
2025-03-21T20:26:39.9711387Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:39.9712616Z             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
2025-03-21T20:26:39.9713408Z             
2025-03-21T20:26:39.9714225Z              # 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)
2025-03-21T20:26:39.9715891Z             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
2025-03-21T20:26:39.9716890Z             
2025-03-21T20:26:39.9717690Z              # 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)
2025-03-21T20:26:39.9719258Z             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
2025-03-21T20:26:39.9720254Z             
2025-03-21T20:26:39.9721043Z              # 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)
2025-03-21T20:26:39.9722281Z             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])
2025-03-21T20:26:39.9723538Z             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
2025-03-21T20:26:39.9724889Z             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
2025-03-21T20:26:39.9725987Z             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])
2025-03-21T20:26:39.9727122Z             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
2025-03-21T20:26:39.9728326Z             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
2025-03-21T20:26:39.9729420Z             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])
2025-03-21T20:26:39.9730551Z             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
2025-03-21T20:26:39.9731712Z             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
2025-03-21T20:26:39.9732811Z             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])
2025-03-21T20:26:39.9733946Z             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
2025-03-21T20:26:39.9735107Z             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
2025-03-21T20:26:39.9736195Z             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])
2025-03-21T20:26:39.9737319Z             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
2025-03-21T20:26:39.9738572Z             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
2025-03-21T20:26:39.9739651Z             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])
2025-03-21T20:26:39.9740775Z             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
2025-03-21T20:26:39.9741927Z             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
2025-03-21T20:26:39.9743013Z             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])
2025-03-21T20:26:39.9744141Z             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
2025-03-21T20:26:39.9745295Z             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
2025-03-21T20:26:39.9746380Z             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])
2025-03-21T20:26:39.9747503Z             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
2025-03-21T20:26:39.9748655Z             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
2025-03-21T20:26:39.9749743Z             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])
2025-03-21T20:26:39.9750882Z             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
2025-03-21T20:26:39.9752031Z             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
2025-03-21T20:26:39.9753119Z             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])
2025-03-21T20:26:39.9754240Z             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
2025-03-21T20:26:39.9755387Z             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
2025-03-21T20:26:39.9756466Z             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])
2025-03-21T20:26:39.9757591Z             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
2025-03-21T20:26:39.9758746Z             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
2025-03-21T20:26:39.9759832Z             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])
2025-03-21T20:26:39.9761029Z             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
2025-03-21T20:26:39.9762174Z             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
2025-03-21T20:26:39.9765106Z             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
2025-03-21T20:26:39.9767973Z             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
2025-03-21T20:26:39.9768705Z             
2025-03-21T20:26:39.9769483Z              # 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)
2025-03-21T20:26:39.9770719Z             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])
2025-03-21T20:26:39.9771854Z             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
2025-03-21T20:26:39.9773019Z             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
2025-03-21T20:26:39.9774137Z             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])
2025-03-21T20:26:39.9775268Z             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
2025-03-21T20:26:39.9776423Z             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
2025-03-21T20:26:39.9777510Z             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])
2025-03-21T20:26:39.9778645Z             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
2025-03-21T20:26:39.9779790Z             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
2025-03-21T20:26:39.9780880Z             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])
2025-03-21T20:26:39.9782010Z             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
2025-03-21T20:26:39.9783172Z             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
2025-03-21T20:26:39.9784345Z             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])
2025-03-21T20:26:39.9785483Z             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
2025-03-21T20:26:39.9786643Z             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
2025-03-21T20:26:39.9787737Z             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])
2025-03-21T20:26:39.9788871Z             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
2025-03-21T20:26:39.9790041Z             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
2025-03-21T20:26:39.9791123Z             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])
2025-03-21T20:26:39.9792260Z             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
2025-03-21T20:26:39.9793421Z             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
2025-03-21T20:26:39.9794517Z             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])
2025-03-21T20:26:39.9795659Z             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
2025-03-21T20:26:39.9796846Z             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
2025-03-21T20:26:39.9797939Z             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])
2025-03-21T20:26:39.9799070Z             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
2025-03-21T20:26:39.9800229Z             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
2025-03-21T20:26:39.9801326Z             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])
2025-03-21T20:26:39.9802502Z             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
2025-03-21T20:26:39.9803662Z             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
2025-03-21T20:26:39.9804749Z             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])
2025-03-21T20:26:39.9805883Z             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
2025-03-21T20:26:39.9807137Z             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
2025-03-21T20:26:39.9808232Z             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])
2025-03-21T20:26:39.9809358Z             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
2025-03-21T20:26:39.9810515Z             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
2025-03-21T20:26:39.9813361Z             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
2025-03-21T20:26:39.9816200Z             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
2025-03-21T20:26:39.9816932Z             
2025-03-21T20:26:39.9817570Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:39.9818766Z             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
2025-03-21T20:26:39.9819567Z             
2025-03-21T20:26:39.9820286Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:39.9821570Z             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
2025-03-21T20:26:39.9822877Z             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
2025-03-21T20:26:39.9824145Z             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
2025-03-21T20:26:39.9825615Z             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
2025-03-21T20:26:39.9826903Z             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
2025-03-21T20:26:39.9828244Z             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
2025-03-21T20:26:39.9829528Z             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
2025-03-21T20:26:39.9830936Z             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
2025-03-21T20:26:39.9831793Z             
2025-03-21T20:26:39.9832419Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:39.9833579Z             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
2025-03-21T20:26:39.9834336Z             
2025-03-21T20:26:39.9835144Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:39.9836333Z             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
2025-03-21T20:26:39.9837042Z             
2025-03-21T20:26:39.9837639Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:39.9838790Z             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
2025-03-21T20:26:39.9840043Z             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
2025-03-21T20:26:39.9841305Z             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
2025-03-21T20:26:39.9842648Z             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
2025-03-21T20:26:39.9844029Z             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
2025-03-21T20:26:39.9845303Z             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
2025-03-21T20:26:39.9846017Z             
2025-03-21T20:26:39.9846785Z              # 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)
2025-03-21T20:26:39.9848115Z             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
2025-03-21T20:26:39.9849373Z             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
2025-03-21T20:26:39.9850152Z             
2025-03-21T20:26:39.9850819Z              # 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)
2025-03-21T20:26:39.9852038Z             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
2025-03-21T20:26:39.9852823Z             
2025-03-21T20:26:39.9853368Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9854587Z             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
2025-03-21T20:26:39.9855403Z             
2025-03-21T20:26:39.9855906Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9857310Z             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
2025-03-21T20:26:39.9858429Z             
2025-03-21T20:26:39.9858989Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9860133Z             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
2025-03-21T20:26:39.9860948Z             
2025-03-21T20:26:39.9861619Z              # 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])
2025-03-21T20:26:39.9862836Z             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
2025-03-21T20:26:39.9863601Z             
2025-03-21T20:26:39.9864113Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:39.9865197Z             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
2025-03-21T20:26:39.9865992Z             
2025-03-21T20:26:39.9866647Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:39.9867684Z             aten_pow_tensor_scalar_3: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_8, 2)
2025-03-21T20:26:39.9868627Z             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
2025-03-21T20:26:39.9869654Z             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
2025-03-21T20:26:39.9870647Z             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
2025-03-21T20:26:39.9871678Z             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
2025-03-21T20:26:39.9872889Z             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
2025-03-21T20:26:39.9873696Z             
2025-03-21T20:26:39.9874359Z              # 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)
2025-03-21T20:26:39.9875427Z             aten_unsqueeze_copy_default_19: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_27, -1)
2025-03-21T20:26:39.9876052Z             
2025-03-21T20:26:39.9876601Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9877829Z             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
2025-03-21T20:26:39.9878660Z             
2025-03-21T20:26:39.9879167Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9880596Z             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
2025-03-21T20:26:39.9881737Z             
2025-03-21T20:26:39.9882288Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9883533Z             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
2025-03-21T20:26:39.9884364Z             
2025-03-21T20:26:39.9885056Z              # 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])
2025-03-21T20:26:39.9886286Z             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
2025-03-21T20:26:39.9887059Z             
2025-03-21T20:26:39.9887717Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:39.9888731Z             aten_sigmoid_default_1: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_19)
2025-03-21T20:26:39.9889886Z             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
2025-03-21T20:26:39.9890761Z             
2025-03-21T20:26:39.9891429Z              # 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)
2025-03-21T20:26:39.9892602Z             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
2025-03-21T20:26:39.9893343Z             
2025-03-21T20:26:39.9893897Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9895031Z             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
2025-03-21T20:26:39.9895858Z             
2025-03-21T20:26:39.9896364Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9897792Z             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
2025-03-21T20:26:39.9898927Z             
2025-03-21T20:26:39.9899488Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9900639Z             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
2025-03-21T20:26:39.9901500Z             
2025-03-21T20:26:39.9902221Z              # 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])
2025-03-21T20:26:39.9903444Z             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
2025-03-21T20:26:39.9904213Z             
2025-03-21T20:26:39.9904869Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:39.9906104Z             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
2025-03-21T20:26:39.9906911Z             
2025-03-21T20:26:39.9907579Z              # 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)
2025-03-21T20:26:39.9908751Z             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
2025-03-21T20:26:39.9909494Z             
2025-03-21T20:26:39.9910097Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9911246Z             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
2025-03-21T20:26:39.9912077Z             
2025-03-21T20:26:39.9912580Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9914003Z             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
2025-03-21T20:26:39.9915161Z             
2025-03-21T20:26:39.9915714Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9916862Z             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
2025-03-21T20:26:39.9917675Z             
2025-03-21T20:26:39.9918354Z              # 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])
2025-03-21T20:26:39.9919576Z             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
2025-03-21T20:26:39.9920344Z             
2025-03-21T20:26:39.9920983Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:39.9922199Z             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
2025-03-21T20:26:39.9923071Z             
2025-03-21T20:26:39.9923781Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:39.9925358Z             aten_pow_tensor_scalar_4: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_9, 2)
2025-03-21T20:26:39.9926498Z             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
2025-03-21T20:26:39.9927533Z             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
2025-03-21T20:26:39.9928523Z             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
2025-03-21T20:26:39.9929556Z             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
2025-03-21T20:26:39.9930794Z             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
2025-03-21T20:26:39.9931648Z             
2025-03-21T20:26:39.9932318Z              # 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)
2025-03-21T20:26:39.9933392Z             aten_unsqueeze_copy_default_22: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_31, -1)
2025-03-21T20:26:39.9934029Z             
2025-03-21T20:26:39.9934572Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9935712Z             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
2025-03-21T20:26:39.9936521Z             
2025-03-21T20:26:39.9937023Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9938428Z             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
2025-03-21T20:26:39.9939587Z             
2025-03-21T20:26:39.9940147Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9941292Z             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
2025-03-21T20:26:39.9942105Z             
2025-03-21T20:26:39.9942772Z              # 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])
2025-03-21T20:26:39.9943990Z             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
2025-03-21T20:26:39.9944763Z             
2025-03-21T20:26:39.9945422Z              # 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)
2025-03-21T20:26:39.9946489Z             aten_unsqueeze_copy_default_23: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_31, -1)
2025-03-21T20:26:39.9947128Z             
2025-03-21T20:26:39.9947677Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9948886Z             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
2025-03-21T20:26:39.9949741Z             
2025-03-21T20:26:39.9950300Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9951710Z             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
2025-03-21T20:26:39.9952828Z             
2025-03-21T20:26:39.9953389Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9954537Z             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
2025-03-21T20:26:39.9955351Z             
2025-03-21T20:26:39.9956023Z              # 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])
2025-03-21T20:26:39.9957246Z             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
2025-03-21T20:26:39.9958020Z             
2025-03-21T20:26:39.9958679Z              # 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)
2025-03-21T20:26:39.9959850Z             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
2025-03-21T20:26:39.9960593Z             
2025-03-21T20:26:39.9961138Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:39.9962276Z             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
2025-03-21T20:26:39.9963198Z             
2025-03-21T20:26:39.9963711Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:39.9965122Z             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
2025-03-21T20:26:39.9966248Z             
2025-03-21T20:26:39.9966817Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:39.9967974Z             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
2025-03-21T20:26:39.9968784Z             
2025-03-21T20:26:39.9969470Z              # 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])
2025-03-21T20:26:39.9970692Z             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
2025-03-21T20:26:39.9971458Z             
2025-03-21T20:26:39.9972124Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:39.9973325Z             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
2025-03-21T20:26:39.9974126Z             
2025-03-21T20:26:39.9974848Z              # 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)
2025-03-21T20:26:39.9976055Z             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
2025-03-21T20:26:39.9976818Z             
2025-03-21T20:26:39.9977482Z              # 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)
2025-03-21T20:26:39.9978674Z             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
2025-03-21T20:26:39.9979442Z             
2025-03-21T20:26:39.9980115Z              # 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)
2025-03-21T20:26:39.9981321Z             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
2025-03-21T20:26:39.9982409Z             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)
2025-03-21T20:26:39.9983480Z             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
2025-03-21T20:26:39.9984659Z             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
2025-03-21T20:26:39.9985832Z             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
2025-03-21T20:26:39.9986610Z             
2025-03-21T20:26:39.9987281Z              # 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)
2025-03-21T20:26:39.9988486Z             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
2025-03-21T20:26:39.9989591Z             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)
2025-03-21T20:26:39.9990672Z             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
2025-03-21T20:26:39.9991857Z             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
2025-03-21T20:26:39.9993039Z             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
2025-03-21T20:26:39.9993779Z             
2025-03-21T20:26:39.9994359Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:39.9995328Z             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])
2025-03-21T20:26:39.9995950Z             
2025-03-21T20:26:39.9996559Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:39.9997572Z             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])
2025-03-21T20:26:39.9998203Z             
2025-03-21T20:26:39.9998819Z              # 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
2025-03-21T20:26:39.9999856Z             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)
2025-03-21T20:26:40.0000846Z             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)
2025-03-21T20:26:40.0001943Z             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
2025-03-21T20:26:40.0002768Z             
2025-03-21T20:26:40.0003385Z              # 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
2025-03-21T20:26:40.0004534Z             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
2025-03-21T20:26:40.0005755Z             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
2025-03-21T20:26:40.0006966Z             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
2025-03-21T20:26:40.0007715Z             
2025-03-21T20:26:40.0008333Z              # 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
2025-03-21T20:26:40.0009486Z             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)
2025-03-21T20:26:40.0010478Z             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)
2025-03-21T20:26:40.0011568Z             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
2025-03-21T20:26:40.0012303Z             
2025-03-21T20:26:40.0012919Z              # 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
2025-03-21T20:26:40.0014164Z             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
2025-03-21T20:26:40.0015574Z             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
2025-03-21T20:26:40.0016869Z             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
2025-03-21T20:26:40.0017618Z             
2025-03-21T20:26:40.0018282Z              # 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)
2025-03-21T20:26:40.0019443Z             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
2025-03-21T20:26:40.0020671Z             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
2025-03-21T20:26:40.0022066Z             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
2025-03-21T20:26:40.0023444Z             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
2025-03-21T20:26:40.0024158Z             
2025-03-21T20:26:40.0024979Z              # 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)
2025-03-21T20:26:40.0026149Z             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
2025-03-21T20:26:40.0027309Z             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
2025-03-21T20:26:40.0028706Z             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
2025-03-21T20:26:40.0030080Z             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
2025-03-21T20:26:40.0030803Z             
2025-03-21T20:26:40.0031466Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.0032757Z             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
2025-03-21T20:26:40.0033549Z             
2025-03-21T20:26:40.0034365Z              # 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)
2025-03-21T20:26:40.0035938Z             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
2025-03-21T20:26:40.0036930Z             
2025-03-21T20:26:40.0037743Z              # 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)
2025-03-21T20:26:40.0053027Z             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
2025-03-21T20:26:40.0054031Z             
2025-03-21T20:26:40.0054817Z              # 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)
2025-03-21T20:26:40.0056039Z             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])
2025-03-21T20:26:40.0057163Z             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
2025-03-21T20:26:40.0058507Z             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
2025-03-21T20:26:40.0059596Z             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])
2025-03-21T20:26:40.0060709Z             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
2025-03-21T20:26:40.0061849Z             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
2025-03-21T20:26:40.0062922Z             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])
2025-03-21T20:26:40.0064048Z             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
2025-03-21T20:26:40.0065218Z             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
2025-03-21T20:26:40.0066303Z             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])
2025-03-21T20:26:40.0067424Z             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
2025-03-21T20:26:40.0068577Z             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
2025-03-21T20:26:40.0069690Z             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])
2025-03-21T20:26:40.0070806Z             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
2025-03-21T20:26:40.0071961Z             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
2025-03-21T20:26:40.0073036Z             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])
2025-03-21T20:26:40.0074157Z             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
2025-03-21T20:26:40.0075329Z             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
2025-03-21T20:26:40.0076427Z             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])
2025-03-21T20:26:40.0077558Z             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
2025-03-21T20:26:40.0078724Z             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
2025-03-21T20:26:40.0079840Z             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])
2025-03-21T20:26:40.0081031Z             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
2025-03-21T20:26:40.0082200Z             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
2025-03-21T20:26:40.0083370Z             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])
2025-03-21T20:26:40.0084485Z             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
2025-03-21T20:26:40.0085657Z             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
2025-03-21T20:26:40.0086756Z             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])
2025-03-21T20:26:40.0087888Z             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
2025-03-21T20:26:40.0089129Z             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
2025-03-21T20:26:40.0090219Z             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])
2025-03-21T20:26:40.0091350Z             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
2025-03-21T20:26:40.0092560Z             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
2025-03-21T20:26:40.0093661Z             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])
2025-03-21T20:26:40.0094798Z             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
2025-03-21T20:26:40.0095974Z             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
2025-03-21T20:26:40.0098941Z             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
2025-03-21T20:26:40.0101891Z             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
2025-03-21T20:26:40.0102651Z             
2025-03-21T20:26:40.0103479Z              # 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)
2025-03-21T20:26:40.0104713Z             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])
2025-03-21T20:26:40.0105856Z             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
2025-03-21T20:26:40.0107032Z             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
2025-03-21T20:26:40.0108135Z             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])
2025-03-21T20:26:40.0109279Z             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
2025-03-21T20:26:40.0110536Z             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
2025-03-21T20:26:40.0111635Z             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])
2025-03-21T20:26:40.0112775Z             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
2025-03-21T20:26:40.0113945Z             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
2025-03-21T20:26:40.0115040Z             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])
2025-03-21T20:26:40.0116214Z             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
2025-03-21T20:26:40.0117382Z             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
2025-03-21T20:26:40.0118479Z             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])
2025-03-21T20:26:40.0119625Z             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
2025-03-21T20:26:40.0120801Z             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
2025-03-21T20:26:40.0121899Z             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])
2025-03-21T20:26:40.0123102Z             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
2025-03-21T20:26:40.0124433Z             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
2025-03-21T20:26:40.0125545Z             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])
2025-03-21T20:26:40.0126815Z             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
2025-03-21T20:26:40.0127992Z             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
2025-03-21T20:26:40.0129096Z             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])
2025-03-21T20:26:40.0130238Z             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
2025-03-21T20:26:40.0131410Z             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
2025-03-21T20:26:40.0132516Z             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])
2025-03-21T20:26:40.0133661Z             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
2025-03-21T20:26:40.0134840Z             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
2025-03-21T20:26:40.0135941Z             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])
2025-03-21T20:26:40.0137083Z             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
2025-03-21T20:26:40.0138260Z             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
2025-03-21T20:26:40.0139384Z             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])
2025-03-21T20:26:40.0140525Z             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
2025-03-21T20:26:40.0141701Z             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
2025-03-21T20:26:40.0142803Z             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])
2025-03-21T20:26:40.0143953Z             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
2025-03-21T20:26:40.0145134Z             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
2025-03-21T20:26:40.0148161Z             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
2025-03-21T20:26:40.0151160Z             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
2025-03-21T20:26:40.0151893Z             
2025-03-21T20:26:40.0152538Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.0153722Z             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
2025-03-21T20:26:40.0154500Z             
2025-03-21T20:26:40.0155212Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.0156504Z             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
2025-03-21T20:26:40.0157801Z             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
2025-03-21T20:26:40.0159066Z             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
2025-03-21T20:26:40.0160346Z             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
2025-03-21T20:26:40.0161639Z             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
2025-03-21T20:26:40.0163060Z             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
2025-03-21T20:26:40.0164349Z             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
2025-03-21T20:26:40.0165638Z             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
2025-03-21T20:26:40.0166508Z             
2025-03-21T20:26:40.0167129Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.0168296Z             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
2025-03-21T20:26:40.0169057Z             
2025-03-21T20:26:40.0169862Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.0171047Z             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
2025-03-21T20:26:40.0171750Z             
2025-03-21T20:26:40.0172354Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.0173612Z             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
2025-03-21T20:26:40.0174866Z             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
2025-03-21T20:26:40.0176126Z             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
2025-03-21T20:26:40.0177394Z             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
2025-03-21T20:26:40.0178729Z             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
2025-03-21T20:26:40.0179995Z             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
2025-03-21T20:26:40.0180831Z             
2025-03-21T20:26:40.0181605Z              # 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)
2025-03-21T20:26:40.0182936Z             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
2025-03-21T20:26:40.0184208Z             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
2025-03-21T20:26:40.0184987Z             
2025-03-21T20:26:40.0185650Z              # 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)
2025-03-21T20:26:40.0186898Z             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
2025-03-21T20:26:40.0187674Z             
2025-03-21T20:26:40.0188215Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0189362Z             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
2025-03-21T20:26:40.0190185Z             
2025-03-21T20:26:40.0190690Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0192109Z             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
2025-03-21T20:26:40.0193238Z             
2025-03-21T20:26:40.0193784Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0194939Z             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
2025-03-21T20:26:40.0195751Z             
2025-03-21T20:26:40.0196430Z              # 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])
2025-03-21T20:26:40.0197735Z             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
2025-03-21T20:26:40.0198510Z             
2025-03-21T20:26:40.0199017Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.0200085Z             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
2025-03-21T20:26:40.0200872Z             
2025-03-21T20:26:40.0201512Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0202578Z             aten_pow_tensor_scalar_5: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_13, 2)
2025-03-21T20:26:40.0203543Z             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
2025-03-21T20:26:40.0204565Z             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
2025-03-21T20:26:40.0205553Z             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
2025-03-21T20:26:40.0206584Z             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
2025-03-21T20:26:40.0207778Z             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
2025-03-21T20:26:40.0208580Z             
2025-03-21T20:26:40.0209276Z              # 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)
2025-03-21T20:26:40.0210348Z             aten_unsqueeze_copy_default_30: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_42, -1)
2025-03-21T20:26:40.0210982Z             
2025-03-21T20:26:40.0211527Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0212670Z             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
2025-03-21T20:26:40.0213486Z             
2025-03-21T20:26:40.0213988Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0215424Z             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
2025-03-21T20:26:40.0216570Z             
2025-03-21T20:26:40.0217120Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0218270Z             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
2025-03-21T20:26:40.0219083Z             
2025-03-21T20:26:40.0219755Z              # 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])
2025-03-21T20:26:40.0221043Z             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
2025-03-21T20:26:40.0221817Z             
2025-03-21T20:26:40.0222458Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0223472Z             aten_sigmoid_default_2: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_30)
2025-03-21T20:26:40.0224794Z             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
2025-03-21T20:26:40.0225635Z             
2025-03-21T20:26:40.0226299Z              # 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)
2025-03-21T20:26:40.0227467Z             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
2025-03-21T20:26:40.0228198Z             
2025-03-21T20:26:40.0228724Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0229868Z             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
2025-03-21T20:26:40.0230686Z             
2025-03-21T20:26:40.0231183Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0232613Z             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
2025-03-21T20:26:40.0233810Z             
2025-03-21T20:26:40.0234359Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0235507Z             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
2025-03-21T20:26:40.0236313Z             
2025-03-21T20:26:40.0236982Z              # 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])
2025-03-21T20:26:40.0238203Z             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
2025-03-21T20:26:40.0238970Z             
2025-03-21T20:26:40.0239614Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0240835Z             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
2025-03-21T20:26:40.0241628Z             
2025-03-21T20:26:40.0242276Z              # 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)
2025-03-21T20:26:40.0243490Z             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
2025-03-21T20:26:40.0244275Z             
2025-03-21T20:26:40.0244880Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0246033Z             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
2025-03-21T20:26:40.0246857Z             
2025-03-21T20:26:40.0247357Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0248758Z             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
2025-03-21T20:26:40.0249886Z             
2025-03-21T20:26:40.0250446Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0251590Z             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
2025-03-21T20:26:40.0252388Z             
2025-03-21T20:26:40.0253058Z              # 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])
2025-03-21T20:26:40.0254272Z             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
2025-03-21T20:26:40.0255034Z             
2025-03-21T20:26:40.0255674Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0256890Z             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
2025-03-21T20:26:40.0257714Z             
2025-03-21T20:26:40.0258416Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.0259477Z             aten_pow_tensor_scalar_6: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_14, 2)
2025-03-21T20:26:40.0260432Z             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
2025-03-21T20:26:40.0261447Z             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
2025-03-21T20:26:40.0262423Z             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
2025-03-21T20:26:40.0263448Z             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
2025-03-21T20:26:40.0264689Z             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
2025-03-21T20:26:40.0265532Z             
2025-03-21T20:26:40.0266186Z              # 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)
2025-03-21T20:26:40.0267287Z             aten_unsqueeze_copy_default_33: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_46, -1)
2025-03-21T20:26:40.0267974Z             
2025-03-21T20:26:40.0268500Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0269639Z             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
2025-03-21T20:26:40.0270468Z             
2025-03-21T20:26:40.0270965Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0272373Z             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
2025-03-21T20:26:40.0273494Z             
2025-03-21T20:26:40.0274056Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0275199Z             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
2025-03-21T20:26:40.0275989Z             
2025-03-21T20:26:40.0276663Z              # 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])
2025-03-21T20:26:40.0277874Z             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
2025-03-21T20:26:40.0278639Z             
2025-03-21T20:26:40.0279294Z              # 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)
2025-03-21T20:26:40.0280381Z             aten_unsqueeze_copy_default_34: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_46, -1)
2025-03-21T20:26:40.0281009Z             
2025-03-21T20:26:40.0281536Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0282738Z             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
2025-03-21T20:26:40.0283561Z             
2025-03-21T20:26:40.0284059Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0285469Z             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
2025-03-21T20:26:40.0286591Z             
2025-03-21T20:26:40.0287144Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0288285Z             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
2025-03-21T20:26:40.0289075Z             
2025-03-21T20:26:40.0289750Z              # 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])
2025-03-21T20:26:40.0291057Z             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
2025-03-21T20:26:40.0291829Z             
2025-03-21T20:26:40.0292487Z              # 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)
2025-03-21T20:26:40.0293657Z             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
2025-03-21T20:26:40.0294397Z             
2025-03-21T20:26:40.0294931Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0296081Z             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
2025-03-21T20:26:40.0296912Z             
2025-03-21T20:26:40.0297425Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0298843Z             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
2025-03-21T20:26:40.0299972Z             
2025-03-21T20:26:40.0300537Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0301679Z             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
2025-03-21T20:26:40.0302497Z             
2025-03-21T20:26:40.0303188Z              # 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])
2025-03-21T20:26:40.0304446Z             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
2025-03-21T20:26:40.0305221Z             
2025-03-21T20:26:40.0305884Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.0307088Z             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
2025-03-21T20:26:40.0307841Z             
2025-03-21T20:26:40.0308514Z              # 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)
2025-03-21T20:26:40.0309726Z             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
2025-03-21T20:26:40.0310495Z             
2025-03-21T20:26:40.0311165Z              # 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)
2025-03-21T20:26:40.0312365Z             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
2025-03-21T20:26:40.0313122Z             
2025-03-21T20:26:40.0313776Z              # 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)
2025-03-21T20:26:40.0314481Z             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
2025-03-21T20:26:40.0314912Z             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)
2025-03-21T20:26:40.0315462Z             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
2025-03-21T20:26:40.0315989Z             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
2025-03-21T20:26:40.0316527Z             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
2025-03-21T20:26:40.0316621Z             
2025-03-21T20:26:40.0317160Z              # 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)
2025-03-21T20:26:40.0317723Z             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
2025-03-21T20:26:40.0318156Z             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)
2025-03-21T20:26:40.0318690Z             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
2025-03-21T20:26:40.0319227Z             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
2025-03-21T20:26:40.0319757Z             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
2025-03-21T20:26:40.0319886Z             
2025-03-21T20:26:40.0320332Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0320758Z             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])
2025-03-21T20:26:40.0320849Z             
2025-03-21T20:26:40.0321289Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0321716Z             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])
2025-03-21T20:26:40.0321810Z             
2025-03-21T20:26:40.0322307Z              # 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
2025-03-21T20:26:40.0322807Z             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)
2025-03-21T20:26:40.0323258Z             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)
2025-03-21T20:26:40.0323795Z             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
2025-03-21T20:26:40.0323900Z             
2025-03-21T20:26:40.0324565Z              # 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
2025-03-21T20:26:40.0325260Z             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
2025-03-21T20:26:40.0325813Z             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
2025-03-21T20:26:40.0326365Z             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
2025-03-21T20:26:40.0326457Z             
2025-03-21T20:26:40.0326938Z              # 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
2025-03-21T20:26:40.0327391Z             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)
2025-03-21T20:26:40.0327829Z             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)
2025-03-21T20:26:40.0328376Z             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
2025-03-21T20:26:40.0328466Z             
2025-03-21T20:26:40.0328954Z              # 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
2025-03-21T20:26:40.0329596Z             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
2025-03-21T20:26:40.0330254Z             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
2025-03-21T20:26:40.0330835Z             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
2025-03-21T20:26:40.0330937Z             
2025-03-21T20:26:40.0331464Z              # 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)
2025-03-21T20:26:40.0331995Z             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
2025-03-21T20:26:40.0332514Z             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
2025-03-21T20:26:40.0333286Z             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
2025-03-21T20:26:40.0333801Z             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
2025-03-21T20:26:40.0333904Z             
2025-03-21T20:26:40.0334431Z              # 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)
2025-03-21T20:26:40.0334948Z             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
2025-03-21T20:26:40.0335563Z             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
2025-03-21T20:26:40.0336319Z             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
2025-03-21T20:26:40.0336850Z             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
2025-03-21T20:26:40.0336941Z             
2025-03-21T20:26:40.0337485Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.0338079Z             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
2025-03-21T20:26:40.0338185Z             
2025-03-21T20:26:40.0338861Z              # 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)
2025-03-21T20:26:40.0339658Z             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
2025-03-21T20:26:40.0339748Z             
2025-03-21T20:26:40.0340431Z              # 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)
2025-03-21T20:26:40.0341216Z             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
2025-03-21T20:26:40.0341344Z             
2025-03-21T20:26:40.0341986Z              # 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)
2025-03-21T20:26:40.0342477Z             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])
2025-03-21T20:26:40.0343027Z             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
2025-03-21T20:26:40.0343535Z             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
2025-03-21T20:26:40.0344026Z             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])
2025-03-21T20:26:40.0344576Z             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
2025-03-21T20:26:40.0345093Z             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
2025-03-21T20:26:40.0345566Z             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])
2025-03-21T20:26:40.0346128Z             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
2025-03-21T20:26:40.0346720Z             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
2025-03-21T20:26:40.0347205Z             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])
2025-03-21T20:26:40.0347754Z             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
2025-03-21T20:26:40.0348270Z             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
2025-03-21T20:26:40.0348740Z             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])
2025-03-21T20:26:40.0349307Z             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
2025-03-21T20:26:40.0349815Z             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
2025-03-21T20:26:40.0350300Z             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])
2025-03-21T20:26:40.0350848Z             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
2025-03-21T20:26:40.0351370Z             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
2025-03-21T20:26:40.0351877Z             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])
2025-03-21T20:26:40.0352437Z             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
2025-03-21T20:26:40.0352942Z             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
2025-03-21T20:26:40.0353424Z             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])
2025-03-21T20:26:40.0353977Z             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
2025-03-21T20:26:40.0354495Z             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
2025-03-21T20:26:40.0354968Z             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])
2025-03-21T20:26:40.0355526Z             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
2025-03-21T20:26:40.0356033Z             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
2025-03-21T20:26:40.0356588Z             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])
2025-03-21T20:26:40.0357143Z             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
2025-03-21T20:26:40.0357659Z             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
2025-03-21T20:26:40.0358129Z             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])
2025-03-21T20:26:40.0358678Z             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
2025-03-21T20:26:40.0359206Z             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
2025-03-21T20:26:40.0359680Z             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])
2025-03-21T20:26:40.0360241Z             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
2025-03-21T20:26:40.0360754Z             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
2025-03-21T20:26:40.0363191Z             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
2025-03-21T20:26:40.0363767Z             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
2025-03-21T20:26:40.0363858Z             
2025-03-21T20:26:40.0364519Z              # 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)
2025-03-21T20:26:40.0365000Z             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])
2025-03-21T20:26:40.0365567Z             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
2025-03-21T20:26:40.0366075Z             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
2025-03-21T20:26:40.0366548Z             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])
2025-03-21T20:26:40.0367109Z             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
2025-03-21T20:26:40.0367699Z             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
2025-03-21T20:26:40.0368188Z             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])
2025-03-21T20:26:40.0368736Z             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
2025-03-21T20:26:40.0369255Z             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
2025-03-21T20:26:40.0369728Z             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])
2025-03-21T20:26:40.0370302Z             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
2025-03-21T20:26:40.0370812Z             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
2025-03-21T20:26:40.0371299Z             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])
2025-03-21T20:26:40.0371850Z             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
2025-03-21T20:26:40.0372369Z             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
2025-03-21T20:26:40.0372849Z             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])
2025-03-21T20:26:40.0373441Z             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
2025-03-21T20:26:40.0373947Z             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
2025-03-21T20:26:40.0374436Z             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])
2025-03-21T20:26:40.0374986Z             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
2025-03-21T20:26:40.0375509Z             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
2025-03-21T20:26:40.0375985Z             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])
2025-03-21T20:26:40.0376546Z             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
2025-03-21T20:26:40.0377051Z             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
2025-03-21T20:26:40.0377536Z             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])
2025-03-21T20:26:40.0378163Z             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
2025-03-21T20:26:40.0378683Z             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
2025-03-21T20:26:40.0379158Z             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])
2025-03-21T20:26:40.0379716Z             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
2025-03-21T20:26:40.0380221Z             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
2025-03-21T20:26:40.0380709Z             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])
2025-03-21T20:26:40.0381266Z             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
2025-03-21T20:26:40.0381784Z             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
2025-03-21T20:26:40.0382254Z             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])
2025-03-21T20:26:40.0382805Z             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
2025-03-21T20:26:40.0383332Z             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
2025-03-21T20:26:40.0385737Z             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
2025-03-21T20:26:40.0386268Z             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
2025-03-21T20:26:40.0386372Z             
2025-03-21T20:26:40.0386867Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.0387453Z             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
2025-03-21T20:26:40.0387546Z             
2025-03-21T20:26:40.0388123Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.0388807Z             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
2025-03-21T20:26:40.0389408Z             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
2025-03-21T20:26:40.0389982Z             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
2025-03-21T20:26:40.0390589Z             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
2025-03-21T20:26:40.0391171Z             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
2025-03-21T20:26:40.0391831Z             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
2025-03-21T20:26:40.0392360Z             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
2025-03-21T20:26:40.0393016Z             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
2025-03-21T20:26:40.0393121Z             
2025-03-21T20:26:40.0393610Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.0394183Z             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
2025-03-21T20:26:40.0394306Z             
2025-03-21T20:26:40.0394886Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.0395391Z             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
2025-03-21T20:26:40.0395493Z             
2025-03-21T20:26:40.0395956Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.0396531Z             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
2025-03-21T20:26:40.0397114Z             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
2025-03-21T20:26:40.0397705Z             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
2025-03-21T20:26:40.0398285Z             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
2025-03-21T20:26:40.0398929Z             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
2025-03-21T20:26:40.0399526Z             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
2025-03-21T20:26:40.0399616Z             
2025-03-21T20:26:40.0400255Z              # 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)
2025-03-21T20:26:40.0400841Z             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
2025-03-21T20:26:40.0401426Z             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
2025-03-21T20:26:40.0401515Z             
2025-03-21T20:26:40.0402054Z              # 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)
2025-03-21T20:26:40.0402713Z             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
2025-03-21T20:26:40.0402818Z             
2025-03-21T20:26:40.0403224Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0403928Z             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
2025-03-21T20:26:40.0404017Z             
2025-03-21T20:26:40.0404384Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0405326Z             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
2025-03-21T20:26:40.0405446Z             
2025-03-21T20:26:40.0405880Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0406489Z             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
2025-03-21T20:26:40.0406585Z             
2025-03-21T20:26:40.0407134Z              # 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])
2025-03-21T20:26:40.0407706Z             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
2025-03-21T20:26:40.0407803Z             
2025-03-21T20:26:40.0408188Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.0408778Z             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
2025-03-21T20:26:40.0408867Z             
2025-03-21T20:26:40.0409387Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0409767Z             aten_pow_tensor_scalar_7: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_18, 2)
2025-03-21T20:26:40.0410262Z             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
2025-03-21T20:26:40.0410773Z             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
2025-03-21T20:26:40.0411205Z             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
2025-03-21T20:26:40.0411697Z             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
2025-03-21T20:26:40.0412308Z             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
2025-03-21T20:26:40.0412398Z             
2025-03-21T20:26:40.0412937Z              # 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)
2025-03-21T20:26:40.0413374Z             aten_unsqueeze_copy_default_41: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_57, -1)
2025-03-21T20:26:40.0413475Z             
2025-03-21T20:26:40.0413882Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0414508Z             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
2025-03-21T20:26:40.0414609Z             
2025-03-21T20:26:40.0414976Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0415945Z             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
2025-03-21T20:26:40.0416068Z             
2025-03-21T20:26:40.0416502Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0417112Z             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
2025-03-21T20:26:40.0417211Z             
2025-03-21T20:26:40.0417752Z              # 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])
2025-03-21T20:26:40.0418337Z             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
2025-03-21T20:26:40.0418432Z             
2025-03-21T20:26:40.0418956Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0419343Z             aten_sigmoid_default_3: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_41)
2025-03-21T20:26:40.0419977Z             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
2025-03-21T20:26:40.0420078Z             
2025-03-21T20:26:40.0420601Z              # 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)
2025-03-21T20:26:40.0421218Z             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
2025-03-21T20:26:40.0421313Z             
2025-03-21T20:26:40.0421732Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0422357Z             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
2025-03-21T20:26:40.0422459Z             
2025-03-21T20:26:40.0422826Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0423784Z             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
2025-03-21T20:26:40.0423879Z             
2025-03-21T20:26:40.0424491Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0425128Z             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
2025-03-21T20:26:40.0425218Z             
2025-03-21T20:26:40.0425771Z              # 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])
2025-03-21T20:26:40.0426341Z             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
2025-03-21T20:26:40.0426450Z             
2025-03-21T20:26:40.0426969Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0427644Z             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
2025-03-21T20:26:40.0427734Z             
2025-03-21T20:26:40.0428267Z              # 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)
2025-03-21T20:26:40.0428805Z             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
2025-03-21T20:26:40.0428897Z             
2025-03-21T20:26:40.0429317Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0429951Z             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
2025-03-21T20:26:40.0430057Z             
2025-03-21T20:26:40.0430423Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0431369Z             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
2025-03-21T20:26:40.0431463Z             
2025-03-21T20:26:40.0431900Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0432608Z             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
2025-03-21T20:26:40.0432711Z             
2025-03-21T20:26:40.0433251Z              # 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])
2025-03-21T20:26:40.0433827Z             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
2025-03-21T20:26:40.0433917Z             
2025-03-21T20:26:40.0434428Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0435039Z             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
2025-03-21T20:26:40.0435131Z             
2025-03-21T20:26:40.0435713Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.0436094Z             aten_pow_tensor_scalar_8: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_19, 2)
2025-03-21T20:26:40.0436565Z             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
2025-03-21T20:26:40.0437011Z             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
2025-03-21T20:26:40.0437445Z             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
2025-03-21T20:26:40.0437969Z             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
2025-03-21T20:26:40.0438622Z             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
2025-03-21T20:26:40.0438711Z             
2025-03-21T20:26:40.0439244Z              # 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)
2025-03-21T20:26:40.0439671Z             aten_unsqueeze_copy_default_44: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_61, -1)
2025-03-21T20:26:40.0439763Z             
2025-03-21T20:26:40.0440188Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0440815Z             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
2025-03-21T20:26:40.0440918Z             
2025-03-21T20:26:40.0441284Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0442218Z             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
2025-03-21T20:26:40.0442307Z             
2025-03-21T20:26:40.0442833Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0443495Z             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
2025-03-21T20:26:40.0443601Z             
2025-03-21T20:26:40.0444143Z              # 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])
2025-03-21T20:26:40.0444720Z             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
2025-03-21T20:26:40.0444810Z             
2025-03-21T20:26:40.0445331Z              # 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)
2025-03-21T20:26:40.0445776Z             aten_unsqueeze_copy_default_45: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_61, -1)
2025-03-21T20:26:40.0445867Z             
2025-03-21T20:26:40.0446288Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0446910Z             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
2025-03-21T20:26:40.0447011Z             
2025-03-21T20:26:40.0447376Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0448310Z             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
2025-03-21T20:26:40.0448434Z             
2025-03-21T20:26:40.0448858Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0449478Z             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
2025-03-21T20:26:40.0449568Z             
2025-03-21T20:26:40.0450121Z              # 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])
2025-03-21T20:26:40.0450686Z             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
2025-03-21T20:26:40.0450789Z             
2025-03-21T20:26:40.0451314Z              # 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)
2025-03-21T20:26:40.0451859Z             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
2025-03-21T20:26:40.0451949Z             
2025-03-21T20:26:40.0452367Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0452987Z             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
2025-03-21T20:26:40.0453090Z             
2025-03-21T20:26:40.0453454Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0454462Z             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
2025-03-21T20:26:40.0454569Z             
2025-03-21T20:26:40.0454991Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0455610Z             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
2025-03-21T20:26:40.0455701Z             
2025-03-21T20:26:40.0456247Z              # 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])
2025-03-21T20:26:40.0456817Z             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
2025-03-21T20:26:40.0456919Z             
2025-03-21T20:26:40.0457441Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.0458007Z             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
2025-03-21T20:26:40.0458098Z             
2025-03-21T20:26:40.0458627Z              # 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)
2025-03-21T20:26:40.0459189Z             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
2025-03-21T20:26:40.0459308Z             
2025-03-21T20:26:40.0459846Z              # 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)
2025-03-21T20:26:40.0460400Z             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
2025-03-21T20:26:40.0460504Z             
2025-03-21T20:26:40.0461040Z              # 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)
2025-03-21T20:26:40.0461613Z             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
2025-03-21T20:26:40.0462040Z             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)
2025-03-21T20:26:40.0462588Z             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
2025-03-21T20:26:40.0463115Z             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
2025-03-21T20:26:40.0463652Z             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
2025-03-21T20:26:40.0463745Z             
2025-03-21T20:26:40.0464272Z              # 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)
2025-03-21T20:26:40.0464919Z             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
2025-03-21T20:26:40.0465346Z             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)
2025-03-21T20:26:40.0465893Z             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
2025-03-21T20:26:40.0466421Z             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
2025-03-21T20:26:40.0466962Z             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
2025-03-21T20:26:40.0467061Z             
2025-03-21T20:26:40.0467517Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0467927Z             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])
2025-03-21T20:26:40.0468029Z             
2025-03-21T20:26:40.0468468Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0468896Z             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])
2025-03-21T20:26:40.0468986Z             
2025-03-21T20:26:40.0469464Z              # 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
2025-03-21T20:26:40.0469914Z             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)
2025-03-21T20:26:40.0470377Z             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)
2025-03-21T20:26:40.0470923Z             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
2025-03-21T20:26:40.0471016Z             
2025-03-21T20:26:40.0471506Z              # 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
2025-03-21T20:26:40.0472051Z             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
2025-03-21T20:26:40.0472620Z             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
2025-03-21T20:26:40.0473154Z             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
2025-03-21T20:26:40.0473253Z             
2025-03-21T20:26:40.0473732Z              # 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
2025-03-21T20:26:40.0474175Z             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)
2025-03-21T20:26:40.0474632Z             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)
2025-03-21T20:26:40.0475228Z             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
2025-03-21T20:26:40.0475318Z             
2025-03-21T20:26:40.0475794Z              # 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
2025-03-21T20:26:40.0476447Z             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
2025-03-21T20:26:40.0477085Z             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
2025-03-21T20:26:40.0477637Z             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
2025-03-21T20:26:40.0477734Z             
2025-03-21T20:26:40.0478270Z              # 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)
2025-03-21T20:26:40.0478789Z             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
2025-03-21T20:26:40.0479321Z             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
2025-03-21T20:26:40.0480072Z             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
2025-03-21T20:26:40.0480673Z             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
2025-03-21T20:26:40.0480764Z             
2025-03-21T20:26:40.0481297Z              # 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)
2025-03-21T20:26:40.0481813Z             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
2025-03-21T20:26:40.0482339Z             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
2025-03-21T20:26:40.0483168Z             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
2025-03-21T20:26:40.0483694Z             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
2025-03-21T20:26:40.0483784Z             
2025-03-21T20:26:40.0484326Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.0484912Z             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
2025-03-21T20:26:40.0485033Z             
2025-03-21T20:26:40.0485770Z              # 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)
2025-03-21T20:26:40.0486561Z             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
2025-03-21T20:26:40.0486662Z             
2025-03-21T20:26:40.0487333Z              # 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)
2025-03-21T20:26:40.0488122Z             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
2025-03-21T20:26:40.0488212Z             
2025-03-21T20:26:40.0488866Z              # 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)
2025-03-21T20:26:40.0489345Z             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])
2025-03-21T20:26:40.0489911Z             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
2025-03-21T20:26:40.0490417Z             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
2025-03-21T20:26:40.0490905Z             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])
2025-03-21T20:26:40.0491496Z             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
2025-03-21T20:26:40.0492012Z             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
2025-03-21T20:26:40.0492483Z             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])
2025-03-21T20:26:40.0493041Z             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
2025-03-21T20:26:40.0493547Z             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
2025-03-21T20:26:40.0494035Z             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])
2025-03-21T20:26:40.0494583Z             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
2025-03-21T20:26:40.0495098Z             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
2025-03-21T20:26:40.0495570Z             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])
2025-03-21T20:26:40.0496190Z             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
2025-03-21T20:26:40.0496709Z             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
2025-03-21T20:26:40.0497180Z             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])
2025-03-21T20:26:40.0497739Z             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
2025-03-21T20:26:40.0498244Z             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
2025-03-21T20:26:40.0498733Z             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])
2025-03-21T20:26:40.0499284Z             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
2025-03-21T20:26:40.0499800Z             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
2025-03-21T20:26:40.0500271Z             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])
2025-03-21T20:26:40.0500831Z             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
2025-03-21T20:26:40.0501340Z             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
2025-03-21T20:26:40.0501851Z             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])
2025-03-21T20:26:40.0502398Z             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
2025-03-21T20:26:40.0502911Z             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
2025-03-21T20:26:40.0503379Z             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])
2025-03-21T20:26:40.0503943Z             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
2025-03-21T20:26:40.0504451Z             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
2025-03-21T20:26:40.0504934Z             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])
2025-03-21T20:26:40.0505482Z             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
2025-03-21T20:26:40.0506003Z             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
2025-03-21T20:26:40.0506543Z             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])
2025-03-21T20:26:40.0507108Z             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
2025-03-21T20:26:40.0507612Z             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
2025-03-21T20:26:40.0509963Z             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
2025-03-21T20:26:40.0510493Z             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
2025-03-21T20:26:40.0510598Z             
2025-03-21T20:26:40.0511241Z              # 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)
2025-03-21T20:26:40.0511726Z             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])
2025-03-21T20:26:40.0512283Z             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
2025-03-21T20:26:40.0512824Z             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
2025-03-21T20:26:40.0513296Z             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])
2025-03-21T20:26:40.0513851Z             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
2025-03-21T20:26:40.0514358Z             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
2025-03-21T20:26:40.0514845Z             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])
2025-03-21T20:26:40.0515396Z             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
2025-03-21T20:26:40.0515907Z             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
2025-03-21T20:26:40.0516379Z             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])
2025-03-21T20:26:40.0516937Z             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
2025-03-21T20:26:40.0517519Z             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
2025-03-21T20:26:40.0518005Z             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])
2025-03-21T20:26:40.0518551Z             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
2025-03-21T20:26:40.0519064Z             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
2025-03-21T20:26:40.0519535Z             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])
2025-03-21T20:26:40.0520087Z             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
2025-03-21T20:26:40.0520605Z             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
2025-03-21T20:26:40.0521073Z             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])
2025-03-21T20:26:40.0521633Z             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
2025-03-21T20:26:40.0522134Z             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
2025-03-21T20:26:40.0522697Z             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])
2025-03-21T20:26:40.0523276Z             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
2025-03-21T20:26:40.0523794Z             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
2025-03-21T20:26:40.0524264Z             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])
2025-03-21T20:26:40.0525008Z             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
2025-03-21T20:26:40.0525523Z             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
2025-03-21T20:26:40.0526005Z             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])
2025-03-21T20:26:40.0526552Z             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
2025-03-21T20:26:40.0527065Z             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
2025-03-21T20:26:40.0527595Z             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])
2025-03-21T20:26:40.0528232Z             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
2025-03-21T20:26:40.0528742Z             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
2025-03-21T20:26:40.0529223Z             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])
2025-03-21T20:26:40.0529773Z             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
2025-03-21T20:26:40.0530294Z             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
2025-03-21T20:26:40.0532662Z             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
2025-03-21T20:26:40.0533199Z             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
2025-03-21T20:26:40.0533336Z             
2025-03-21T20:26:40.0533847Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.0534417Z             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
2025-03-21T20:26:40.0534518Z             
2025-03-21T20:26:40.0535097Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.0535702Z             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
2025-03-21T20:26:40.0536302Z             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
2025-03-21T20:26:40.0536875Z             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
2025-03-21T20:26:40.0537485Z             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
2025-03-21T20:26:40.0538065Z             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
2025-03-21T20:26:40.0538769Z             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
2025-03-21T20:26:40.0539320Z             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
2025-03-21T20:26:40.0539974Z             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
2025-03-21T20:26:40.0540072Z             
2025-03-21T20:26:40.0540562Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.0541118Z             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
2025-03-21T20:26:40.0541222Z             
2025-03-21T20:26:40.0541795Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.0542310Z             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
2025-03-21T20:26:40.0542399Z             
2025-03-21T20:26:40.0542871Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.0543442Z             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
2025-03-21T20:26:40.0544018Z             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
2025-03-21T20:26:40.0544609Z             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
2025-03-21T20:26:40.0545216Z             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
2025-03-21T20:26:40.0545869Z             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
2025-03-21T20:26:40.0546392Z             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
2025-03-21T20:26:40.0546485Z             
2025-03-21T20:26:40.0547132Z              # 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)
2025-03-21T20:26:40.0547722Z             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
2025-03-21T20:26:40.0548308Z             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
2025-03-21T20:26:40.0548399Z             
2025-03-21T20:26:40.0548926Z              # 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)
2025-03-21T20:26:40.0549594Z             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
2025-03-21T20:26:40.0549688Z             
2025-03-21T20:26:40.0550110Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0550737Z             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
2025-03-21T20:26:40.0550841Z             
2025-03-21T20:26:40.0551209Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0552154Z             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
2025-03-21T20:26:40.0552250Z             
2025-03-21T20:26:40.0552696Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0553309Z             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
2025-03-21T20:26:40.0553402Z             
2025-03-21T20:26:40.0553958Z              # 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])
2025-03-21T20:26:40.0554524Z             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
2025-03-21T20:26:40.0554631Z             
2025-03-21T20:26:40.0555012Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.0555655Z             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
2025-03-21T20:26:40.0555748Z             
2025-03-21T20:26:40.0556274Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0556657Z             aten_pow_tensor_scalar_9: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_23, 2)
2025-03-21T20:26:40.0557130Z             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
2025-03-21T20:26:40.0557583Z             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
2025-03-21T20:26:40.0558022Z             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
2025-03-21T20:26:40.0558514Z             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
2025-03-21T20:26:40.0559114Z             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
2025-03-21T20:26:40.0559218Z             
2025-03-21T20:26:40.0559743Z              # 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)
2025-03-21T20:26:40.0560255Z             aten_unsqueeze_copy_default_52: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_72, -1)
2025-03-21T20:26:40.0560352Z             
2025-03-21T20:26:40.0560769Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0561391Z             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
2025-03-21T20:26:40.0561496Z             
2025-03-21T20:26:40.0561864Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0562888Z             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
2025-03-21T20:26:40.0562983Z             
2025-03-21T20:26:40.0563410Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0564039Z             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
2025-03-21T20:26:40.0564127Z             
2025-03-21T20:26:40.0564683Z              # 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])
2025-03-21T20:26:40.0565256Z             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
2025-03-21T20:26:40.0565359Z             
2025-03-21T20:26:40.0565880Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0566316Z             aten_sigmoid_default_4: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_52)
2025-03-21T20:26:40.0566947Z             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
2025-03-21T20:26:40.0567048Z             
2025-03-21T20:26:40.0567572Z              # 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)
2025-03-21T20:26:40.0568112Z             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
2025-03-21T20:26:40.0568202Z             
2025-03-21T20:26:40.0568613Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0569247Z             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
2025-03-21T20:26:40.0569338Z             
2025-03-21T20:26:40.0569717Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0570662Z             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
2025-03-21T20:26:40.0570790Z             
2025-03-21T20:26:40.0571271Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0571903Z             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
2025-03-21T20:26:40.0571993Z             
2025-03-21T20:26:40.0572545Z              # 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])
2025-03-21T20:26:40.0573114Z             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
2025-03-21T20:26:40.0573204Z             
2025-03-21T20:26:40.0573734Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0574338Z             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
2025-03-21T20:26:40.0574443Z             
2025-03-21T20:26:40.0574963Z              # 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)
2025-03-21T20:26:40.0575509Z             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
2025-03-21T20:26:40.0575599Z             
2025-03-21T20:26:40.0576016Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0576648Z             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
2025-03-21T20:26:40.0576777Z             
2025-03-21T20:26:40.0577143Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0578077Z             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
2025-03-21T20:26:40.0578178Z             
2025-03-21T20:26:40.0578599Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0579217Z             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
2025-03-21T20:26:40.0579309Z             
2025-03-21T20:26:40.0579867Z              # 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])
2025-03-21T20:26:40.0580430Z             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
2025-03-21T20:26:40.0580527Z             
2025-03-21T20:26:40.0581041Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0581646Z             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
2025-03-21T20:26:40.0581771Z             
2025-03-21T20:26:40.0582398Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.0582783Z             aten_pow_tensor_scalar_10: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_24, 2)
2025-03-21T20:26:40.0583249Z             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
2025-03-21T20:26:40.0583714Z             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
2025-03-21T20:26:40.0584145Z             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
2025-03-21T20:26:40.0584657Z             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
2025-03-21T20:26:40.0585305Z             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
2025-03-21T20:26:40.0585411Z             
2025-03-21T20:26:40.0585933Z              # 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)
2025-03-21T20:26:40.0586373Z             aten_unsqueeze_copy_default_55: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_76, -1)
2025-03-21T20:26:40.0586461Z             
2025-03-21T20:26:40.0586878Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0587508Z             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
2025-03-21T20:26:40.0587634Z             
2025-03-21T20:26:40.0588001Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0588929Z             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
2025-03-21T20:26:40.0589030Z             
2025-03-21T20:26:40.0589451Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0590078Z             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
2025-03-21T20:26:40.0590169Z             
2025-03-21T20:26:40.0590719Z              # 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])
2025-03-21T20:26:40.0591285Z             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
2025-03-21T20:26:40.0591385Z             
2025-03-21T20:26:40.0591906Z              # 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)
2025-03-21T20:26:40.0592347Z             aten_unsqueeze_copy_default_56: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_76, -1)
2025-03-21T20:26:40.0592463Z             
2025-03-21T20:26:40.0592915Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0593551Z             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
2025-03-21T20:26:40.0593645Z             
2025-03-21T20:26:40.0594030Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0594953Z             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
2025-03-21T20:26:40.0595058Z             
2025-03-21T20:26:40.0595484Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0596107Z             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
2025-03-21T20:26:40.0596198Z             
2025-03-21T20:26:40.0596751Z              # 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])
2025-03-21T20:26:40.0597315Z             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
2025-03-21T20:26:40.0597403Z             
2025-03-21T20:26:40.0597935Z              # 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)
2025-03-21T20:26:40.0598467Z             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
2025-03-21T20:26:40.0598594Z             
2025-03-21T20:26:40.0598996Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0599629Z             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
2025-03-21T20:26:40.0599718Z             
2025-03-21T20:26:40.0600095Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0601021Z             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
2025-03-21T20:26:40.0601126Z             
2025-03-21T20:26:40.0601548Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0602164Z             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
2025-03-21T20:26:40.0602254Z             
2025-03-21T20:26:40.0602862Z              # 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])
2025-03-21T20:26:40.0603439Z             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
2025-03-21T20:26:40.0603563Z             
2025-03-21T20:26:40.0604150Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.0604709Z             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
2025-03-21T20:26:40.0604809Z             
2025-03-21T20:26:40.0605337Z              # 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)
2025-03-21T20:26:40.0605900Z             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
2025-03-21T20:26:40.0605995Z             
2025-03-21T20:26:40.0606536Z              # 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)
2025-03-21T20:26:40.0607092Z             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
2025-03-21T20:26:40.0607182Z             
2025-03-21T20:26:40.0607724Z              # 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)
2025-03-21T20:26:40.0608286Z             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
2025-03-21T20:26:40.0608721Z             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)
2025-03-21T20:26:40.0609265Z             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
2025-03-21T20:26:40.0609832Z             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
2025-03-21T20:26:40.0610358Z             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
2025-03-21T20:26:40.0610460Z             
2025-03-21T20:26:40.0610986Z              # 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)
2025-03-21T20:26:40.0611565Z             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
2025-03-21T20:26:40.0611991Z             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)
2025-03-21T20:26:40.0612535Z             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
2025-03-21T20:26:40.0613060Z             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
2025-03-21T20:26:40.0613594Z             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
2025-03-21T20:26:40.0613723Z             
2025-03-21T20:26:40.0614221Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0614633Z             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])
2025-03-21T20:26:40.0614723Z             
2025-03-21T20:26:40.0615175Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0615588Z             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])
2025-03-21T20:26:40.0615690Z             
2025-03-21T20:26:40.0616168Z              # 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
2025-03-21T20:26:40.0616618Z             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)
2025-03-21T20:26:40.0617057Z             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)
2025-03-21T20:26:40.0617607Z             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
2025-03-21T20:26:40.0617696Z             
2025-03-21T20:26:40.0618175Z              # 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
2025-03-21T20:26:40.0618737Z             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
2025-03-21T20:26:40.0619291Z             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
2025-03-21T20:26:40.0619870Z             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
2025-03-21T20:26:40.0619960Z             
2025-03-21T20:26:40.0620451Z              # 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
2025-03-21T20:26:40.0620886Z             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)
2025-03-21T20:26:40.0621334Z             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)
2025-03-21T20:26:40.0621876Z             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
2025-03-21T20:26:40.0621982Z             
2025-03-21T20:26:40.0622462Z              # 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
2025-03-21T20:26:40.0623119Z             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
2025-03-21T20:26:40.0623762Z             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
2025-03-21T20:26:40.0624469Z             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
2025-03-21T20:26:40.0624742Z             
2025-03-21T20:26:40.0625284Z              # 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)
2025-03-21T20:26:40.0625809Z             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
2025-03-21T20:26:40.0626330Z             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
2025-03-21T20:26:40.0627099Z             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
2025-03-21T20:26:40.0627619Z             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
2025-03-21T20:26:40.0627724Z             
2025-03-21T20:26:40.0628253Z              # 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)
2025-03-21T20:26:40.0628787Z             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
2025-03-21T20:26:40.0629305Z             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
2025-03-21T20:26:40.0630071Z             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
2025-03-21T20:26:40.0630626Z             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
2025-03-21T20:26:40.0630729Z             
2025-03-21T20:26:40.0631262Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.0631863Z             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
2025-03-21T20:26:40.0631955Z             
2025-03-21T20:26:40.0632640Z              # 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)
2025-03-21T20:26:40.0633436Z             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
2025-03-21T20:26:40.0633544Z             
2025-03-21T20:26:40.0634211Z              # 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)
2025-03-21T20:26:40.0635008Z             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
2025-03-21T20:26:40.0635097Z             
2025-03-21T20:26:40.0635812Z              # 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)
2025-03-21T20:26:40.0636311Z             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])
2025-03-21T20:26:40.0636862Z             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
2025-03-21T20:26:40.0637383Z             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
2025-03-21T20:26:40.0637859Z             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])
2025-03-21T20:26:40.0638426Z             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
2025-03-21T20:26:40.0638933Z             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
2025-03-21T20:26:40.0639419Z             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])
2025-03-21T20:26:40.0639967Z             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
2025-03-21T20:26:40.0640482Z             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
2025-03-21T20:26:40.0640961Z             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])
2025-03-21T20:26:40.0641548Z             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
2025-03-21T20:26:40.0642050Z             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
2025-03-21T20:26:40.0642592Z             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])
2025-03-21T20:26:40.0643143Z             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
2025-03-21T20:26:40.0643665Z             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
2025-03-21T20:26:40.0644141Z             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])
2025-03-21T20:26:40.0644701Z             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
2025-03-21T20:26:40.0645205Z             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
2025-03-21T20:26:40.0645695Z             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])
2025-03-21T20:26:40.0646365Z             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
2025-03-21T20:26:40.0646882Z             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
2025-03-21T20:26:40.0647358Z             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])
2025-03-21T20:26:40.0647918Z             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
2025-03-21T20:26:40.0648422Z             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
2025-03-21T20:26:40.0648916Z             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])
2025-03-21T20:26:40.0652099Z             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
2025-03-21T20:26:40.0652644Z             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
2025-03-21T20:26:40.0653133Z             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])
2025-03-21T20:26:40.0653684Z             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
2025-03-21T20:26:40.0654211Z             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
2025-03-21T20:26:40.0654772Z             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])
2025-03-21T20:26:40.0655322Z             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
2025-03-21T20:26:40.0655840Z             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
2025-03-21T20:26:40.0656317Z             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])
2025-03-21T20:26:40.0656882Z             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
2025-03-21T20:26:40.0657394Z             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
2025-03-21T20:26:40.0659786Z             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
2025-03-21T20:26:40.0660357Z             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
2025-03-21T20:26:40.0660448Z             
2025-03-21T20:26:40.0661098Z              # 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)
2025-03-21T20:26:40.0661584Z             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])
2025-03-21T20:26:40.0662136Z             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
2025-03-21T20:26:40.0662662Z             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
2025-03-21T20:26:40.0663198Z             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])
2025-03-21T20:26:40.0663765Z             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
2025-03-21T20:26:40.0664271Z             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
2025-03-21T20:26:40.0664760Z             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])
2025-03-21T20:26:40.0665339Z             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
2025-03-21T20:26:40.0665857Z             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
2025-03-21T20:26:40.0666334Z             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])
2025-03-21T20:26:40.0666896Z             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
2025-03-21T20:26:40.0667401Z             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
2025-03-21T20:26:40.0667895Z             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])
2025-03-21T20:26:40.0668446Z             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
2025-03-21T20:26:40.0668961Z             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
2025-03-21T20:26:40.0669438Z             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])
2025-03-21T20:26:40.0670050Z             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
2025-03-21T20:26:40.0670560Z             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
2025-03-21T20:26:40.0671181Z             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])
2025-03-21T20:26:40.0671732Z             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
2025-03-21T20:26:40.0672246Z             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
2025-03-21T20:26:40.0672729Z             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])
2025-03-21T20:26:40.0673293Z             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
2025-03-21T20:26:40.0673839Z             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
2025-03-21T20:26:40.0674329Z             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])
2025-03-21T20:26:40.0674877Z             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
2025-03-21T20:26:40.0675390Z             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
2025-03-21T20:26:40.0675904Z             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])
2025-03-21T20:26:40.0676459Z             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
2025-03-21T20:26:40.0676977Z             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
2025-03-21T20:26:40.0677453Z             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])
2025-03-21T20:26:40.0678022Z             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
2025-03-21T20:26:40.0678534Z             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
2025-03-21T20:26:40.0679029Z             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])
2025-03-21T20:26:40.0679578Z             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
2025-03-21T20:26:40.0680096Z             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
2025-03-21T20:26:40.0682690Z             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
2025-03-21T20:26:40.0683248Z             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
2025-03-21T20:26:40.0683360Z             
2025-03-21T20:26:40.0683866Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.0684440Z             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
2025-03-21T20:26:40.0684576Z             
2025-03-21T20:26:40.0685161Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.0685766Z             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
2025-03-21T20:26:40.0686364Z             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
2025-03-21T20:26:40.0686946Z             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
2025-03-21T20:26:40.0687586Z             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
2025-03-21T20:26:40.0688173Z             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
2025-03-21T20:26:40.0688841Z             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
2025-03-21T20:26:40.0689386Z             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
2025-03-21T20:26:40.0690053Z             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
2025-03-21T20:26:40.0690156Z             
2025-03-21T20:26:40.0690643Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.0691207Z             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
2025-03-21T20:26:40.0691322Z             
2025-03-21T20:26:40.0691941Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.0692449Z             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
2025-03-21T20:26:40.0692539Z             
2025-03-21T20:26:40.0693013Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.0693583Z             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
2025-03-21T20:26:40.0694164Z             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
2025-03-21T20:26:40.0694758Z             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
2025-03-21T20:26:40.0695380Z             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
2025-03-21T20:26:40.0696042Z             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
2025-03-21T20:26:40.0696572Z             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
2025-03-21T20:26:40.0696662Z             
2025-03-21T20:26:40.0697309Z              # 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)
2025-03-21T20:26:40.0697925Z             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
2025-03-21T20:26:40.0698514Z             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
2025-03-21T20:26:40.0698606Z             
2025-03-21T20:26:40.0699143Z              # 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)
2025-03-21T20:26:40.0699728Z             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
2025-03-21T20:26:40.0699835Z             
2025-03-21T20:26:40.0700246Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0700873Z             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
2025-03-21T20:26:40.0700973Z             
2025-03-21T20:26:40.0701340Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0702276Z             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
2025-03-21T20:26:40.0702393Z             
2025-03-21T20:26:40.0702854Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0703467Z             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
2025-03-21T20:26:40.0703569Z             
2025-03-21T20:26:40.0704111Z              # 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])
2025-03-21T20:26:40.0704687Z             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
2025-03-21T20:26:40.0704777Z             
2025-03-21T20:26:40.0705150Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.0705755Z             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
2025-03-21T20:26:40.0705846Z             
2025-03-21T20:26:40.0706393Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0706777Z             aten_pow_tensor_scalar_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_28, 2)
2025-03-21T20:26:40.0707258Z             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
2025-03-21T20:26:40.0707711Z             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
2025-03-21T20:26:40.0708156Z             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
2025-03-21T20:26:40.0708693Z             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
2025-03-21T20:26:40.0709295Z             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
2025-03-21T20:26:40.0709387Z             
2025-03-21T20:26:40.0709924Z              # 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)
2025-03-21T20:26:40.0710356Z             aten_unsqueeze_copy_default_63: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_87, -1)
2025-03-21T20:26:40.0710466Z             
2025-03-21T20:26:40.0710876Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0711518Z             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
2025-03-21T20:26:40.0711610Z             
2025-03-21T20:26:40.0711991Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0712937Z             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
2025-03-21T20:26:40.0713066Z             
2025-03-21T20:26:40.0713518Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0714152Z             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
2025-03-21T20:26:40.0714246Z             
2025-03-21T20:26:40.0714787Z              # 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])
2025-03-21T20:26:40.0715374Z             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
2025-03-21T20:26:40.0715465Z             
2025-03-21T20:26:40.0716001Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0716394Z             aten_sigmoid_default_5: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_63)
2025-03-21T20:26:40.0717071Z             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
2025-03-21T20:26:40.0717166Z             
2025-03-21T20:26:40.0717707Z              # 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)
2025-03-21T20:26:40.0718240Z             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
2025-03-21T20:26:40.0718348Z             
2025-03-21T20:26:40.0718757Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0719410Z             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
2025-03-21T20:26:40.0719517Z             
2025-03-21T20:26:40.0719890Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0720848Z             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
2025-03-21T20:26:40.0720937Z             
2025-03-21T20:26:40.0721378Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0721995Z             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
2025-03-21T20:26:40.0722100Z             
2025-03-21T20:26:40.0722696Z              # 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])
2025-03-21T20:26:40.0723280Z             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
2025-03-21T20:26:40.0723372Z             
2025-03-21T20:26:40.0723889Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0724778Z             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
2025-03-21T20:26:40.0724875Z             
2025-03-21T20:26:40.0725414Z              # 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)
2025-03-21T20:26:40.0725952Z             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
2025-03-21T20:26:40.0726057Z             
2025-03-21T20:26:40.0726462Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0727105Z             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
2025-03-21T20:26:40.0727198Z             
2025-03-21T20:26:40.0727578Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0728560Z             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
2025-03-21T20:26:40.0728662Z             
2025-03-21T20:26:40.0729086Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0729695Z             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
2025-03-21T20:26:40.0729798Z             
2025-03-21T20:26:40.0730340Z              # 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])
2025-03-21T20:26:40.0730957Z             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
2025-03-21T20:26:40.0731048Z             
2025-03-21T20:26:40.0731573Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0732164Z             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
2025-03-21T20:26:40.0732264Z             
2025-03-21T20:26:40.0732835Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.0733238Z             aten_pow_tensor_scalar_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_29, 2)
2025-03-21T20:26:40.0733709Z             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
2025-03-21T20:26:40.0734163Z             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
2025-03-21T20:26:40.0734605Z             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
2025-03-21T20:26:40.0735101Z             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
2025-03-21T20:26:40.0735830Z             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
2025-03-21T20:26:40.0735924Z             
2025-03-21T20:26:40.0736463Z              # 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)
2025-03-21T20:26:40.0736897Z             aten_unsqueeze_copy_default_66: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_91, -1)
2025-03-21T20:26:40.0736998Z             
2025-03-21T20:26:40.0737406Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0738046Z             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
2025-03-21T20:26:40.0738141Z             
2025-03-21T20:26:40.0738517Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0739469Z             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
2025-03-21T20:26:40.0739560Z             
2025-03-21T20:26:40.0739997Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0740606Z             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
2025-03-21T20:26:40.0740710Z             
2025-03-21T20:26:40.0741280Z              # 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])
2025-03-21T20:26:40.0741856Z             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
2025-03-21T20:26:40.0741947Z             
2025-03-21T20:26:40.0742476Z              # 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)
2025-03-21T20:26:40.0742908Z             aten_unsqueeze_copy_default_67: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_91, -1)
2025-03-21T20:26:40.0743011Z             
2025-03-21T20:26:40.0743416Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0744042Z             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
2025-03-21T20:26:40.0744145Z             
2025-03-21T20:26:40.0744511Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0745446Z             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
2025-03-21T20:26:40.0745537Z             
2025-03-21T20:26:40.0746000Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0746633Z             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
2025-03-21T20:26:40.0746741Z             
2025-03-21T20:26:40.0747282Z              # 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])
2025-03-21T20:26:40.0747861Z             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
2025-03-21T20:26:40.0747952Z             
2025-03-21T20:26:40.0748471Z              # 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)
2025-03-21T20:26:40.0749019Z             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
2025-03-21T20:26:40.0749111Z             
2025-03-21T20:26:40.0749529Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0750176Z             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
2025-03-21T20:26:40.0750276Z             
2025-03-21T20:26:40.0750641Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0751751Z             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
2025-03-21T20:26:40.0751971Z             
2025-03-21T20:26:40.0752546Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0753154Z             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
2025-03-21T20:26:40.0753255Z             
2025-03-21T20:26:40.0753795Z              # 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])
2025-03-21T20:26:40.0754359Z             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
2025-03-21T20:26:40.0754462Z             
2025-03-21T20:26:40.0754982Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.0755554Z             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
2025-03-21T20:26:40.0755646Z             
2025-03-21T20:26:40.0756182Z              # 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)
2025-03-21T20:26:40.0756735Z             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
2025-03-21T20:26:40.0756835Z             
2025-03-21T20:26:40.0757395Z              # 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)
2025-03-21T20:26:40.0757988Z             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
2025-03-21T20:26:40.0758079Z             
2025-03-21T20:26:40.0758614Z              # 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)
2025-03-21T20:26:40.0759199Z             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
2025-03-21T20:26:40.0759625Z             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)
2025-03-21T20:26:40.0760186Z             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
2025-03-21T20:26:40.0760711Z             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
2025-03-21T20:26:40.0761278Z             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
2025-03-21T20:26:40.0761369Z             
2025-03-21T20:26:40.0761906Z              # 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)
2025-03-21T20:26:40.0762543Z             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
2025-03-21T20:26:40.0762987Z             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)
2025-03-21T20:26:40.0763565Z             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
2025-03-21T20:26:40.0764101Z             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
2025-03-21T20:26:40.0764625Z             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
2025-03-21T20:26:40.0764730Z             
2025-03-21T20:26:40.0765176Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0765606Z             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])
2025-03-21T20:26:40.0765697Z             
2025-03-21T20:26:40.0766136Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0766565Z             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])
2025-03-21T20:26:40.0766654Z             
2025-03-21T20:26:40.0767143Z              # 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
2025-03-21T20:26:40.0767584Z             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)
2025-03-21T20:26:40.0768082Z             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)
2025-03-21T20:26:40.0768626Z             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
2025-03-21T20:26:40.0768728Z             
2025-03-21T20:26:40.0769205Z              # 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
2025-03-21T20:26:40.0769770Z             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
2025-03-21T20:26:40.0770322Z             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
2025-03-21T20:26:40.0770877Z             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
2025-03-21T20:26:40.0770968Z             
2025-03-21T20:26:40.0771474Z              # 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
2025-03-21T20:26:40.0771925Z             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)
2025-03-21T20:26:40.0772364Z             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)
2025-03-21T20:26:40.0772915Z             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
2025-03-21T20:26:40.0773048Z             
2025-03-21T20:26:40.0773537Z              # 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
2025-03-21T20:26:40.0774190Z             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
2025-03-21T20:26:40.0774852Z             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
2025-03-21T20:26:40.0775390Z             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
2025-03-21T20:26:40.0775494Z             
2025-03-21T20:26:40.0776023Z              # 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)
2025-03-21T20:26:40.0776563Z             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
2025-03-21T20:26:40.0777082Z             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
2025-03-21T20:26:40.0777846Z             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
2025-03-21T20:26:40.0778415Z             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
2025-03-21T20:26:40.0778521Z             
2025-03-21T20:26:40.0779050Z              # 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)
2025-03-21T20:26:40.0779575Z             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
2025-03-21T20:26:40.0780101Z             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
2025-03-21T20:26:40.0780850Z             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
2025-03-21T20:26:40.0781385Z             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
2025-03-21T20:26:40.0781476Z             
2025-03-21T20:26:40.0782044Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.0782639Z             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
2025-03-21T20:26:40.0782747Z             
2025-03-21T20:26:40.0783424Z              # 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)
2025-03-21T20:26:40.0784242Z             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
2025-03-21T20:26:40.0784359Z             
2025-03-21T20:26:40.0785043Z              # 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)
2025-03-21T20:26:40.0785837Z             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
2025-03-21T20:26:40.0785942Z             
2025-03-21T20:26:40.0786586Z              # 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)
2025-03-21T20:26:40.0787075Z             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])
2025-03-21T20:26:40.0787642Z             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
2025-03-21T20:26:40.0788152Z             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
2025-03-21T20:26:40.0788646Z             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])
2025-03-21T20:26:40.0789198Z             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
2025-03-21T20:26:40.0789772Z             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
2025-03-21T20:26:40.0790254Z             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])
2025-03-21T20:26:40.0790818Z             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
2025-03-21T20:26:40.0791324Z             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
2025-03-21T20:26:40.0791818Z             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])
2025-03-21T20:26:40.0792373Z             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
2025-03-21T20:26:40.0792920Z             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
2025-03-21T20:26:40.0793399Z             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])
2025-03-21T20:26:40.0793961Z             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
2025-03-21T20:26:40.0794471Z             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
2025-03-21T20:26:40.0794987Z             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])
2025-03-21T20:26:40.0795543Z             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
2025-03-21T20:26:40.0796064Z             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
2025-03-21T20:26:40.0796542Z             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])
2025-03-21T20:26:40.0797109Z             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
2025-03-21T20:26:40.0797616Z             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
2025-03-21T20:26:40.0798104Z             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])
2025-03-21T20:26:40.0798657Z             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
2025-03-21T20:26:40.0799172Z             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
2025-03-21T20:26:40.0799696Z             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])
2025-03-21T20:26:40.0800261Z             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
2025-03-21T20:26:40.0800764Z             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
2025-03-21T20:26:40.0801251Z             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])
2025-03-21T20:26:40.0801798Z             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
2025-03-21T20:26:40.0802322Z             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
2025-03-21T20:26:40.0802865Z             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])
2025-03-21T20:26:40.0803449Z             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
2025-03-21T20:26:40.0803972Z             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
2025-03-21T20:26:40.0804448Z             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])
2025-03-21T20:26:40.0805011Z             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
2025-03-21T20:26:40.0805546Z             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
2025-03-21T20:26:40.0807911Z             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
2025-03-21T20:26:40.0808461Z             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
2025-03-21T20:26:40.0808548Z             
2025-03-21T20:26:40.0817407Z              # 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)
2025-03-21T20:26:40.0817945Z             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])
2025-03-21T20:26:40.0818517Z             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
2025-03-21T20:26:40.0819150Z             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
2025-03-21T20:26:40.0819648Z             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])
2025-03-21T20:26:40.0820200Z             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
2025-03-21T20:26:40.0820713Z             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
2025-03-21T20:26:40.0821188Z             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])
2025-03-21T20:26:40.0821755Z             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
2025-03-21T20:26:40.0822301Z             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
2025-03-21T20:26:40.0822790Z             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])
2025-03-21T20:26:40.0823343Z             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
2025-03-21T20:26:40.0823859Z             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
2025-03-21T20:26:40.0824523Z             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])
2025-03-21T20:26:40.0825156Z             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
2025-03-21T20:26:40.0825661Z             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
2025-03-21T20:26:40.0826149Z             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])
2025-03-21T20:26:40.0826699Z             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
2025-03-21T20:26:40.0827222Z             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
2025-03-21T20:26:40.0827705Z             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])
2025-03-21T20:26:40.0828255Z             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
2025-03-21T20:26:40.0828773Z             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
2025-03-21T20:26:40.0829250Z             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])
2025-03-21T20:26:40.0829930Z             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
2025-03-21T20:26:40.0830438Z             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
2025-03-21T20:26:40.0830928Z             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])
2025-03-21T20:26:40.0831478Z             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
2025-03-21T20:26:40.0831999Z             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
2025-03-21T20:26:40.0832482Z             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])
2025-03-21T20:26:40.0833082Z             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
2025-03-21T20:26:40.0833591Z             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
2025-03-21T20:26:40.0834079Z             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])
2025-03-21T20:26:40.0834631Z             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
2025-03-21T20:26:40.0835182Z             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
2025-03-21T20:26:40.0835662Z             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])
2025-03-21T20:26:40.0836228Z             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
2025-03-21T20:26:40.0836739Z             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
2025-03-21T20:26:40.0839117Z             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
2025-03-21T20:26:40.0839653Z             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
2025-03-21T20:26:40.0839788Z             
2025-03-21T20:26:40.0840320Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.0840914Z             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
2025-03-21T20:26:40.0841008Z             
2025-03-21T20:26:40.0841606Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.0842208Z             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
2025-03-21T20:26:40.0842923Z             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
2025-03-21T20:26:40.0843494Z             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
2025-03-21T20:26:40.0844167Z             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
2025-03-21T20:26:40.0844745Z             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
2025-03-21T20:26:40.0845423Z             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
2025-03-21T20:26:40.0845955Z             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
2025-03-21T20:26:40.0846662Z             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
2025-03-21T20:26:40.0846754Z             
2025-03-21T20:26:40.0847252Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.0847815Z             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
2025-03-21T20:26:40.0847907Z             
2025-03-21T20:26:40.0848486Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.0849001Z             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
2025-03-21T20:26:40.0849105Z             
2025-03-21T20:26:40.0849573Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.0850161Z             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
2025-03-21T20:26:40.0850729Z             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
2025-03-21T20:26:40.0851383Z             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
2025-03-21T20:26:40.0851966Z             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
2025-03-21T20:26:40.0852967Z             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
2025-03-21T20:26:40.0854019Z             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
2025-03-21T20:26:40.0854186Z             
2025-03-21T20:26:40.0855086Z              # 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)
2025-03-21T20:26:40.0856269Z             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
2025-03-21T20:26:40.0857223Z             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
2025-03-21T20:26:40.0857360Z             
2025-03-21T20:26:40.0858112Z              # 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)
2025-03-21T20:26:40.0858973Z             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
2025-03-21T20:26:40.0859121Z             
2025-03-21T20:26:40.0859879Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0860571Z             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
2025-03-21T20:26:40.0860681Z             
2025-03-21T20:26:40.0861048Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0861995Z             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
2025-03-21T20:26:40.0862091Z             
2025-03-21T20:26:40.0862522Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0863150Z             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
2025-03-21T20:26:40.0863243Z             
2025-03-21T20:26:40.0863802Z              # 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])
2025-03-21T20:26:40.0864368Z             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
2025-03-21T20:26:40.0864470Z             
2025-03-21T20:26:40.0864843Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.0865512Z             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
2025-03-21T20:26:40.0865606Z             
2025-03-21T20:26:40.0866135Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0866520Z             aten_pow_tensor_scalar_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_33, 2)
2025-03-21T20:26:40.0867004Z             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
2025-03-21T20:26:40.0867458Z             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
2025-03-21T20:26:40.0867893Z             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
2025-03-21T20:26:40.0868404Z             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
2025-03-21T20:26:40.0869039Z             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
2025-03-21T20:26:40.0869145Z             
2025-03-21T20:26:40.0869672Z              # 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)
2025-03-21T20:26:40.0870120Z             aten_unsqueeze_copy_default_74: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_102, -1)
2025-03-21T20:26:40.0870210Z             
2025-03-21T20:26:40.0870633Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0871287Z             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
2025-03-21T20:26:40.0871392Z             
2025-03-21T20:26:40.0871759Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0872718Z             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
2025-03-21T20:26:40.0872812Z             
2025-03-21T20:26:40.0873237Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0873865Z             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
2025-03-21T20:26:40.0873955Z             
2025-03-21T20:26:40.0874510Z              # 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])
2025-03-21T20:26:40.0875080Z             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
2025-03-21T20:26:40.0875185Z             
2025-03-21T20:26:40.0875704Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0876157Z             aten_sigmoid_default_6: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_74)
2025-03-21T20:26:40.0876798Z             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
2025-03-21T20:26:40.0876901Z             
2025-03-21T20:26:40.0877423Z              # 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)
2025-03-21T20:26:40.0877960Z             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
2025-03-21T20:26:40.0878063Z             
2025-03-21T20:26:40.0878471Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0879107Z             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
2025-03-21T20:26:40.0879199Z             
2025-03-21T20:26:40.0879605Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0880556Z             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
2025-03-21T20:26:40.0880660Z             
2025-03-21T20:26:40.0881083Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0881715Z             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
2025-03-21T20:26:40.0881830Z             
2025-03-21T20:26:40.0882371Z              # 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])
2025-03-21T20:26:40.0883049Z             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
2025-03-21T20:26:40.0883139Z             
2025-03-21T20:26:40.0883671Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.0884284Z             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
2025-03-21T20:26:40.0884389Z             
2025-03-21T20:26:40.0884913Z              # 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)
2025-03-21T20:26:40.0885470Z             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
2025-03-21T20:26:40.0885560Z             
2025-03-21T20:26:40.0885979Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0886610Z             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
2025-03-21T20:26:40.0886727Z             
2025-03-21T20:26:40.0887133Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0888071Z             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
2025-03-21T20:26:40.0888175Z             
2025-03-21T20:26:40.0888599Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0889218Z             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
2025-03-21T20:26:40.0889312Z             
2025-03-21T20:26:40.0889865Z              # 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])
2025-03-21T20:26:40.0890433Z             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
2025-03-21T20:26:40.0890562Z             
2025-03-21T20:26:40.0891077Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.0891681Z             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
2025-03-21T20:26:40.0891768Z             
2025-03-21T20:26:40.0892334Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.0892731Z             aten_pow_tensor_scalar_14: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_34, 2)
2025-03-21T20:26:40.0893226Z             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
2025-03-21T20:26:40.0893693Z             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
2025-03-21T20:26:40.0894122Z             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
2025-03-21T20:26:40.0894635Z             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
2025-03-21T20:26:40.0895299Z             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
2025-03-21T20:26:40.0895403Z             
2025-03-21T20:26:40.0895927Z              # 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)
2025-03-21T20:26:40.0896374Z             aten_unsqueeze_copy_default_77: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_106, -1)
2025-03-21T20:26:40.0896463Z             
2025-03-21T20:26:40.0896882Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0897506Z             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
2025-03-21T20:26:40.0897664Z             
2025-03-21T20:26:40.0898046Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0898971Z             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
2025-03-21T20:26:40.0899075Z             
2025-03-21T20:26:40.0899495Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0900112Z             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
2025-03-21T20:26:40.0900203Z             
2025-03-21T20:26:40.0900756Z              # 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])
2025-03-21T20:26:40.0901350Z             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
2025-03-21T20:26:40.0901455Z             
2025-03-21T20:26:40.0901975Z              # 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)
2025-03-21T20:26:40.0902420Z             aten_unsqueeze_copy_default_78: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_106, -1)
2025-03-21T20:26:40.0902512Z             
2025-03-21T20:26:40.0902919Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0903557Z             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
2025-03-21T20:26:40.0903674Z             
2025-03-21T20:26:40.0904054Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0904975Z             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
2025-03-21T20:26:40.0905077Z             
2025-03-21T20:26:40.0905496Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0906119Z             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
2025-03-21T20:26:40.0906212Z             
2025-03-21T20:26:40.0906764Z              # 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])
2025-03-21T20:26:40.0907328Z             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
2025-03-21T20:26:40.0907423Z             
2025-03-21T20:26:40.0907947Z              # 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)
2025-03-21T20:26:40.0908540Z             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
2025-03-21T20:26:40.0908634Z             
2025-03-21T20:26:40.0909050Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.0909677Z             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
2025-03-21T20:26:40.0909775Z             
2025-03-21T20:26:40.0910139Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.0911074Z             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
2025-03-21T20:26:40.0911168Z             
2025-03-21T20:26:40.0911592Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.0912239Z             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
2025-03-21T20:26:40.0912332Z             
2025-03-21T20:26:40.0912880Z              # 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])
2025-03-21T20:26:40.0913442Z             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
2025-03-21T20:26:40.0913547Z             
2025-03-21T20:26:40.0914072Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.0914677Z             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
2025-03-21T20:26:40.0914769Z             
2025-03-21T20:26:40.0915309Z              # 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)
2025-03-21T20:26:40.0915866Z             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
2025-03-21T20:26:40.0915956Z             
2025-03-21T20:26:40.0916490Z              # 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)
2025-03-21T20:26:40.0917050Z             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
2025-03-21T20:26:40.0917155Z             
2025-03-21T20:26:40.0917692Z              # 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)
2025-03-21T20:26:40.0918277Z             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
2025-03-21T20:26:40.0918705Z             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)
2025-03-21T20:26:40.0919316Z             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
2025-03-21T20:26:40.0919848Z             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
2025-03-21T20:26:40.0920387Z             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
2025-03-21T20:26:40.0920476Z             
2025-03-21T20:26:40.0921012Z              # 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)
2025-03-21T20:26:40.0921580Z             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
2025-03-21T20:26:40.0922021Z             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)
2025-03-21T20:26:40.0922661Z             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
2025-03-21T20:26:40.0923201Z             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
2025-03-21T20:26:40.0923725Z             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
2025-03-21T20:26:40.0923814Z             
2025-03-21T20:26:40.0924441Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0924891Z             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])
2025-03-21T20:26:40.0925055Z             
2025-03-21T20:26:40.0925498Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.0925937Z             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])
2025-03-21T20:26:40.0926062Z             
2025-03-21T20:26:40.0926730Z              # 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
2025-03-21T20:26:40.0927335Z             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)
2025-03-21T20:26:40.0928226Z             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)
2025-03-21T20:26:40.0929273Z             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
2025-03-21T20:26:40.0929390Z             
2025-03-21T20:26:40.0930088Z              # 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
2025-03-21T20:26:40.0930893Z             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
2025-03-21T20:26:40.0931965Z             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
2025-03-21T20:26:40.0932947Z             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
2025-03-21T20:26:40.0933101Z             
2025-03-21T20:26:40.0933901Z              # 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
2025-03-21T20:26:40.0934679Z             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)
2025-03-21T20:26:40.0935463Z             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)
2025-03-21T20:26:40.0936478Z             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
2025-03-21T20:26:40.0936635Z             
2025-03-21T20:26:40.0937472Z              # 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
2025-03-21T20:26:40.0938665Z             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
2025-03-21T20:26:40.0939644Z             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
2025-03-21T20:26:40.0940440Z             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
2025-03-21T20:26:40.0940625Z             
2025-03-21T20:26:40.0941468Z              # 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)
2025-03-21T20:26:40.0942069Z             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
2025-03-21T20:26:40.0942605Z             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
2025-03-21T20:26:40.0943359Z             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
2025-03-21T20:26:40.0943895Z             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
2025-03-21T20:26:40.0943988Z             
2025-03-21T20:26:40.0944527Z              # 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)
2025-03-21T20:26:40.0945049Z             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
2025-03-21T20:26:40.0945581Z             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
2025-03-21T20:26:40.0946328Z             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
2025-03-21T20:26:40.0946932Z             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
2025-03-21T20:26:40.0947036Z             
2025-03-21T20:26:40.0947580Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.0948172Z             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
2025-03-21T20:26:40.0948273Z             
2025-03-21T20:26:40.0948947Z              # 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)
2025-03-21T20:26:40.0949758Z             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
2025-03-21T20:26:40.0949854Z             
2025-03-21T20:26:40.0950562Z              # 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)
2025-03-21T20:26:40.0951357Z             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
2025-03-21T20:26:40.0951454Z             
2025-03-21T20:26:40.0952094Z              # 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)
2025-03-21T20:26:40.0952611Z             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])
2025-03-21T20:26:40.0953164Z             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
2025-03-21T20:26:40.0953682Z             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
2025-03-21T20:26:40.0954157Z             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])
2025-03-21T20:26:40.0954713Z             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
2025-03-21T20:26:40.0955228Z             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
2025-03-21T20:26:40.0955713Z             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])
2025-03-21T20:26:40.0956258Z             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
2025-03-21T20:26:40.0956772Z             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
2025-03-21T20:26:40.0957273Z             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])
2025-03-21T20:26:40.0957849Z             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
2025-03-21T20:26:40.0958364Z             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
2025-03-21T20:26:40.0958839Z             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])
2025-03-21T20:26:40.0959393Z             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
2025-03-21T20:26:40.0959902Z             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
2025-03-21T20:26:40.0960386Z             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])
2025-03-21T20:26:40.0960958Z             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
2025-03-21T20:26:40.0961474Z             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
2025-03-21T20:26:40.0961948Z             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])
2025-03-21T20:26:40.0962590Z             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
2025-03-21T20:26:40.0963130Z             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
2025-03-21T20:26:40.0963620Z             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])
2025-03-21T20:26:40.0964164Z             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
2025-03-21T20:26:40.0964680Z             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
2025-03-21T20:26:40.0965158Z             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])
2025-03-21T20:26:40.0965715Z             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
2025-03-21T20:26:40.0966220Z             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
2025-03-21T20:26:40.0966706Z             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])
2025-03-21T20:26:40.0967250Z             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
2025-03-21T20:26:40.0967814Z             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
2025-03-21T20:26:40.0968291Z             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])
2025-03-21T20:26:40.0968850Z             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
2025-03-21T20:26:40.0969352Z             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
2025-03-21T20:26:40.0969836Z             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])
2025-03-21T20:26:40.0970382Z             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
2025-03-21T20:26:40.0970900Z             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
2025-03-21T20:26:40.0973253Z             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
2025-03-21T20:26:40.0973826Z             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
2025-03-21T20:26:40.0973915Z             
2025-03-21T20:26:40.0974571Z              # 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)
2025-03-21T20:26:40.0975047Z             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])
2025-03-21T20:26:40.0975602Z             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
2025-03-21T20:26:40.0976111Z             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
2025-03-21T20:26:40.0976597Z             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])
2025-03-21T20:26:40.0977145Z             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
2025-03-21T20:26:40.0977655Z             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
2025-03-21T20:26:40.0978131Z             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])
2025-03-21T20:26:40.0978734Z             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
2025-03-21T20:26:40.0979245Z             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
2025-03-21T20:26:40.0979720Z             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])
2025-03-21T20:26:40.0980267Z             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
2025-03-21T20:26:40.0980774Z             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
2025-03-21T20:26:40.0981255Z             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])
2025-03-21T20:26:40.0981828Z             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
2025-03-21T20:26:40.0982342Z             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
2025-03-21T20:26:40.0982815Z             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])
2025-03-21T20:26:40.0983366Z             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
2025-03-21T20:26:40.0983873Z             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
2025-03-21T20:26:40.0984391Z             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])
2025-03-21T20:26:40.0984937Z             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
2025-03-21T20:26:40.0985447Z             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
2025-03-21T20:26:40.0985920Z             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])
2025-03-21T20:26:40.0986477Z             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
2025-03-21T20:26:40.0986983Z             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
2025-03-21T20:26:40.0987461Z             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])
2025-03-21T20:26:40.0988009Z             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
2025-03-21T20:26:40.0988545Z             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
2025-03-21T20:26:40.0989048Z             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])
2025-03-21T20:26:40.0989606Z             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
2025-03-21T20:26:40.0990108Z             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
2025-03-21T20:26:40.0990587Z             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])
2025-03-21T20:26:40.0991136Z             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
2025-03-21T20:26:40.0991653Z             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
2025-03-21T20:26:40.0992152Z             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])
2025-03-21T20:26:40.0992711Z             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
2025-03-21T20:26:40.0993214Z             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
2025-03-21T20:26:40.0995567Z             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
2025-03-21T20:26:40.0996124Z             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
2025-03-21T20:26:40.0996228Z             
2025-03-21T20:26:40.0996724Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.0997310Z             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
2025-03-21T20:26:40.0997397Z             
2025-03-21T20:26:40.0997988Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.0998584Z             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
2025-03-21T20:26:40.0999193Z             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
2025-03-21T20:26:40.0999807Z             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
2025-03-21T20:26:40.1000429Z             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
2025-03-21T20:26:40.1001004Z             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
2025-03-21T20:26:40.1001678Z             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
2025-03-21T20:26:40.1002208Z             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
2025-03-21T20:26:40.1002946Z             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
2025-03-21T20:26:40.1003067Z             
2025-03-21T20:26:40.1003555Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.1004130Z             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
2025-03-21T20:26:40.1004220Z             
2025-03-21T20:26:40.1004799Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.1005303Z             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
2025-03-21T20:26:40.1005467Z             
2025-03-21T20:26:40.1005930Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.1006512Z             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
2025-03-21T20:26:40.1007079Z             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
2025-03-21T20:26:40.1007680Z             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
2025-03-21T20:26:40.1008257Z             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
2025-03-21T20:26:40.1008928Z             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
2025-03-21T20:26:40.1009445Z             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
2025-03-21T20:26:40.1009544Z             
2025-03-21T20:26:40.1010171Z              # 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)
2025-03-21T20:26:40.1010819Z             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
2025-03-21T20:26:40.1011404Z             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
2025-03-21T20:26:40.1011493Z             
2025-03-21T20:26:40.1012024Z              # 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)
2025-03-21T20:26:40.1012607Z             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
2025-03-21T20:26:40.1012709Z             
2025-03-21T20:26:40.1013120Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1013747Z             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
2025-03-21T20:26:40.1013860Z             
2025-03-21T20:26:40.1014233Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1015164Z             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
2025-03-21T20:26:40.1015263Z             
2025-03-21T20:26:40.1015690Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1016327Z             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
2025-03-21T20:26:40.1016425Z             
2025-03-21T20:26:40.1016969Z              # 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])
2025-03-21T20:26:40.1017541Z             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
2025-03-21T20:26:40.1017629Z             
2025-03-21T20:26:40.1018007Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.1018601Z             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
2025-03-21T20:26:40.1018699Z             
2025-03-21T20:26:40.1019211Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1019602Z             aten_pow_tensor_scalar_15: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_38, 2)
2025-03-21T20:26:40.1020067Z             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
2025-03-21T20:26:40.1020529Z             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
2025-03-21T20:26:40.1021008Z             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
2025-03-21T20:26:40.1021509Z             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
2025-03-21T20:26:40.1022124Z             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
2025-03-21T20:26:40.1022213Z             
2025-03-21T20:26:40.1022740Z              # 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)
2025-03-21T20:26:40.1023176Z             aten_unsqueeze_copy_default_85: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_117, -1)
2025-03-21T20:26:40.1023274Z             
2025-03-21T20:26:40.1023684Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1024533Z             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
2025-03-21T20:26:40.1024711Z             
2025-03-21T20:26:40.1025087Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1026035Z             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
2025-03-21T20:26:40.1026138Z             
2025-03-21T20:26:40.1026564Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1027218Z             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
2025-03-21T20:26:40.1027315Z             
2025-03-21T20:26:40.1027856Z              # 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])
2025-03-21T20:26:40.1028432Z             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
2025-03-21T20:26:40.1028519Z             
2025-03-21T20:26:40.1029037Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1029430Z             aten_sigmoid_default_7: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_85)
2025-03-21T20:26:40.1030078Z             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
2025-03-21T20:26:40.1030165Z             
2025-03-21T20:26:40.1030693Z              # 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)
2025-03-21T20:26:40.1031232Z             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
2025-03-21T20:26:40.1031317Z             
2025-03-21T20:26:40.1031769Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1032425Z             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
2025-03-21T20:26:40.1032525Z             
2025-03-21T20:26:40.1032895Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1033850Z             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
2025-03-21T20:26:40.1033939Z             
2025-03-21T20:26:40.1034370Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1034992Z             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
2025-03-21T20:26:40.1035090Z             
2025-03-21T20:26:40.1035658Z              # 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])
2025-03-21T20:26:40.1036227Z             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
2025-03-21T20:26:40.1036332Z             
2025-03-21T20:26:40.1036849Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1037474Z             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
2025-03-21T20:26:40.1037589Z             
2025-03-21T20:26:40.1038121Z              # 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)
2025-03-21T20:26:40.1038662Z             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
2025-03-21T20:26:40.1038764Z             
2025-03-21T20:26:40.1039171Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1039815Z             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
2025-03-21T20:26:40.1039907Z             
2025-03-21T20:26:40.1040273Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1041228Z             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
2025-03-21T20:26:40.1041317Z             
2025-03-21T20:26:40.1041749Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1042357Z             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
2025-03-21T20:26:40.1042551Z             
2025-03-21T20:26:40.1043123Z              # 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])
2025-03-21T20:26:40.1043703Z             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
2025-03-21T20:26:40.1043793Z             
2025-03-21T20:26:40.1044317Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1044907Z             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
2025-03-21T20:26:40.1045008Z             
2025-03-21T20:26:40.1045574Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.1045962Z             aten_pow_tensor_scalar_16: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_39, 2)
2025-03-21T20:26:40.1046466Z             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
2025-03-21T20:26:40.1046923Z             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
2025-03-21T20:26:40.1047356Z             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
2025-03-21T20:26:40.1047852Z             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
2025-03-21T20:26:40.1048523Z             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
2025-03-21T20:26:40.1048640Z             
2025-03-21T20:26:40.1049171Z              # 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)
2025-03-21T20:26:40.1049603Z             aten_unsqueeze_copy_default_88: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_121, -1)
2025-03-21T20:26:40.1049700Z             
2025-03-21T20:26:40.1050106Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1050731Z             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
2025-03-21T20:26:40.1050827Z             
2025-03-21T20:26:40.1051196Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1052136Z             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
2025-03-21T20:26:40.1052226Z             
2025-03-21T20:26:40.1052655Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1053263Z             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
2025-03-21T20:26:40.1053406Z             
2025-03-21T20:26:40.1053975Z              # 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])
2025-03-21T20:26:40.1054560Z             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
2025-03-21T20:26:40.1054650Z             
2025-03-21T20:26:40.1055189Z              # 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)
2025-03-21T20:26:40.1055624Z             aten_unsqueeze_copy_default_89: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_121, -1)
2025-03-21T20:26:40.1055714Z             
2025-03-21T20:26:40.1056136Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1056760Z             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
2025-03-21T20:26:40.1056865Z             
2025-03-21T20:26:40.1057257Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1058198Z             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
2025-03-21T20:26:40.1058289Z             
2025-03-21T20:26:40.1058724Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1059335Z             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
2025-03-21T20:26:40.1059465Z             
2025-03-21T20:26:40.1060006Z              # 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])
2025-03-21T20:26:40.1060585Z             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
2025-03-21T20:26:40.1060675Z             
2025-03-21T20:26:40.1061192Z              # 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)
2025-03-21T20:26:40.1061748Z             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
2025-03-21T20:26:40.1061841Z             
2025-03-21T20:26:40.1062259Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1062883Z             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
2025-03-21T20:26:40.1062986Z             
2025-03-21T20:26:40.1063354Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1064288Z             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
2025-03-21T20:26:40.1064407Z             
2025-03-21T20:26:40.1064880Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1065498Z             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
2025-03-21T20:26:40.1065587Z             
2025-03-21T20:26:40.1066141Z              # 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])
2025-03-21T20:26:40.1066708Z             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
2025-03-21T20:26:40.1066812Z             
2025-03-21T20:26:40.1067335Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.1067910Z             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
2025-03-21T20:26:40.1068025Z             
2025-03-21T20:26:40.1068567Z              # 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)
2025-03-21T20:26:40.1069125Z             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
2025-03-21T20:26:40.1069230Z             
2025-03-21T20:26:40.1069760Z              # 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)
2025-03-21T20:26:40.1070321Z             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
2025-03-21T20:26:40.1070450Z             
2025-03-21T20:26:40.1070984Z              # 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)
2025-03-21T20:26:40.1071568Z             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
2025-03-21T20:26:40.1071998Z             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)
2025-03-21T20:26:40.1072563Z             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
2025-03-21T20:26:40.1073095Z             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
2025-03-21T20:26:40.1073637Z             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
2025-03-21T20:26:40.1073727Z             
2025-03-21T20:26:40.1074265Z              # 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)
2025-03-21T20:26:40.1074834Z             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
2025-03-21T20:26:40.1075325Z             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)
2025-03-21T20:26:40.1075878Z             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
2025-03-21T20:26:40.1076420Z             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
2025-03-21T20:26:40.1076945Z             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
2025-03-21T20:26:40.1077044Z             
2025-03-21T20:26:40.1077493Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1077912Z             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])
2025-03-21T20:26:40.1078017Z             
2025-03-21T20:26:40.1078480Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1078915Z             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])
2025-03-21T20:26:40.1079005Z             
2025-03-21T20:26:40.1079899Z              # 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
2025-03-21T20:26:40.1080525Z             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)
2025-03-21T20:26:40.1081130Z             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)
2025-03-21T20:26:40.1081983Z             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
2025-03-21T20:26:40.1082131Z             
2025-03-21T20:26:40.1082952Z              # 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
2025-03-21T20:26:40.1083823Z             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
2025-03-21T20:26:40.1084826Z             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
2025-03-21T20:26:40.1085660Z             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
2025-03-21T20:26:40.1085828Z             
2025-03-21T20:26:40.1086678Z              # 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
2025-03-21T20:26:40.1087368Z             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)
2025-03-21T20:26:40.1087979Z             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)
2025-03-21T20:26:40.1088785Z             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
2025-03-21T20:26:40.1089041Z             
2025-03-21T20:26:40.1089931Z              # 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
2025-03-21T20:26:40.1090599Z             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
2025-03-21T20:26:40.1091264Z             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
2025-03-21T20:26:40.1091814Z             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
2025-03-21T20:26:40.1091925Z             
2025-03-21T20:26:40.1092458Z              # 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)
2025-03-21T20:26:40.1093032Z             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
2025-03-21T20:26:40.1093556Z             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
2025-03-21T20:26:40.1094324Z             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
2025-03-21T20:26:40.1094847Z             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
2025-03-21T20:26:40.1094989Z             
2025-03-21T20:26:40.1095532Z              # 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)
2025-03-21T20:26:40.1096058Z             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
2025-03-21T20:26:40.1096591Z             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
2025-03-21T20:26:40.1097347Z             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
2025-03-21T20:26:40.1097879Z             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
2025-03-21T20:26:40.1097972Z             
2025-03-21T20:26:40.1098549Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.1099527Z             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
2025-03-21T20:26:40.1099636Z             
2025-03-21T20:26:40.1100709Z              # 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)
2025-03-21T20:26:40.1102128Z             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
2025-03-21T20:26:40.1102300Z             
2025-03-21T20:26:40.1103354Z              # 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)
2025-03-21T20:26:40.1104646Z             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
2025-03-21T20:26:40.1104755Z             
2025-03-21T20:26:40.1105771Z              # 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)
2025-03-21T20:26:40.1106539Z             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])
2025-03-21T20:26:40.1107400Z             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
2025-03-21T20:26:40.1108140Z             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
2025-03-21T20:26:40.1108912Z             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])
2025-03-21T20:26:40.1109712Z             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
2025-03-21T20:26:40.1110664Z             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
2025-03-21T20:26:40.1111511Z             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])
2025-03-21T20:26:40.1112488Z             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
2025-03-21T20:26:40.1113357Z             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
2025-03-21T20:26:40.1114244Z             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])
2025-03-21T20:26:40.1115234Z             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
2025-03-21T20:26:40.1116193Z             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
2025-03-21T20:26:40.1117074Z             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])
2025-03-21T20:26:40.1118157Z             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
2025-03-21T20:26:40.1119028Z             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
2025-03-21T20:26:40.1119527Z             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])
2025-03-21T20:26:40.1120081Z             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
2025-03-21T20:26:40.1120603Z             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
2025-03-21T20:26:40.1121082Z             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])
2025-03-21T20:26:40.1121649Z             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
2025-03-21T20:26:40.1122157Z             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
2025-03-21T20:26:40.1122751Z             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])
2025-03-21T20:26:40.1123304Z             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
2025-03-21T20:26:40.1123820Z             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
2025-03-21T20:26:40.1124483Z             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])
2025-03-21T20:26:40.1125130Z             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
2025-03-21T20:26:40.1125640Z             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
2025-03-21T20:26:40.1126127Z             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])
2025-03-21T20:26:40.1126680Z             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
2025-03-21T20:26:40.1127206Z             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
2025-03-21T20:26:40.1127684Z             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])
2025-03-21T20:26:40.1128249Z             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
2025-03-21T20:26:40.1128759Z             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
2025-03-21T20:26:40.1129237Z             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])
2025-03-21T20:26:40.1129877Z             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
2025-03-21T20:26:40.1130395Z             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
2025-03-21T20:26:40.1132763Z             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
2025-03-21T20:26:40.1133313Z             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
2025-03-21T20:26:40.1133410Z             
2025-03-21T20:26:40.1134114Z              # 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)
2025-03-21T20:26:40.1134597Z             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])
2025-03-21T20:26:40.1135158Z             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
2025-03-21T20:26:40.1135667Z             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
2025-03-21T20:26:40.1136183Z             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])
2025-03-21T20:26:40.1136754Z             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
2025-03-21T20:26:40.1137259Z             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
2025-03-21T20:26:40.1137744Z             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])
2025-03-21T20:26:40.1138298Z             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
2025-03-21T20:26:40.1138820Z             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
2025-03-21T20:26:40.1139292Z             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])
2025-03-21T20:26:40.1139850Z             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
2025-03-21T20:26:40.1140353Z             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
2025-03-21T20:26:40.1140888Z             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])
2025-03-21T20:26:40.1141443Z             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
2025-03-21T20:26:40.1141960Z             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
2025-03-21T20:26:40.1142433Z             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])
2025-03-21T20:26:40.1142995Z             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
2025-03-21T20:26:40.1143505Z             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
2025-03-21T20:26:40.1144020Z             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])
2025-03-21T20:26:40.1144572Z             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
2025-03-21T20:26:40.1145089Z             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
2025-03-21T20:26:40.1145565Z             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])
2025-03-21T20:26:40.1146131Z             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
2025-03-21T20:26:40.1146667Z             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
2025-03-21T20:26:40.1147155Z             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])
2025-03-21T20:26:40.1147707Z             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
2025-03-21T20:26:40.1148226Z             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
2025-03-21T20:26:40.1148706Z             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])
2025-03-21T20:26:40.1149268Z             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
2025-03-21T20:26:40.1149773Z             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
2025-03-21T20:26:40.1150258Z             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])
2025-03-21T20:26:40.1150858Z             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
2025-03-21T20:26:40.1151383Z             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
2025-03-21T20:26:40.1151860Z             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])
2025-03-21T20:26:40.1152408Z             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
2025-03-21T20:26:40.1152928Z             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
2025-03-21T20:26:40.1155321Z             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
2025-03-21T20:26:40.1155857Z             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
2025-03-21T20:26:40.1156024Z             
2025-03-21T20:26:40.1156528Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.1157148Z             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
2025-03-21T20:26:40.1157241Z             
2025-03-21T20:26:40.1157825Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.1158773Z             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
2025-03-21T20:26:40.1159377Z             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
2025-03-21T20:26:40.1160148Z             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
2025-03-21T20:26:40.1160768Z             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
2025-03-21T20:26:40.1161460Z             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
2025-03-21T20:26:40.1162131Z             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
2025-03-21T20:26:40.1162800Z             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
2025-03-21T20:26:40.1163472Z             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
2025-03-21T20:26:40.1163647Z             
2025-03-21T20:26:40.1164140Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.1164722Z             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
2025-03-21T20:26:40.1164813Z             
2025-03-21T20:26:40.1165396Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.1165905Z             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
2025-03-21T20:26:40.1166012Z             
2025-03-21T20:26:40.1166499Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.1167087Z             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
2025-03-21T20:26:40.1167656Z             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
2025-03-21T20:26:40.1168263Z             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
2025-03-21T20:26:40.1168870Z             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
2025-03-21T20:26:40.1169543Z             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
2025-03-21T20:26:40.1170061Z             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
2025-03-21T20:26:40.1170152Z             
2025-03-21T20:26:40.1170789Z              # 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)
2025-03-21T20:26:40.1171383Z             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
2025-03-21T20:26:40.1171972Z             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
2025-03-21T20:26:40.1172062Z             
2025-03-21T20:26:40.1172600Z              # 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)
2025-03-21T20:26:40.1173186Z             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
2025-03-21T20:26:40.1173317Z             
2025-03-21T20:26:40.1173751Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1174390Z             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
2025-03-21T20:26:40.1174482Z             
2025-03-21T20:26:40.1174848Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1175784Z             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
2025-03-21T20:26:40.1175875Z             
2025-03-21T20:26:40.1176312Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1176922Z             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
2025-03-21T20:26:40.1177022Z             
2025-03-21T20:26:40.1177585Z              # 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])
2025-03-21T20:26:40.1178165Z             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
2025-03-21T20:26:40.1178255Z             
2025-03-21T20:26:40.1178640Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.1179235Z             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
2025-03-21T20:26:40.1179364Z             
2025-03-21T20:26:40.1179880Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1180263Z             aten_pow_tensor_scalar_17: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_43, 2)
2025-03-21T20:26:40.1180740Z             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
2025-03-21T20:26:40.1181192Z             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
2025-03-21T20:26:40.1181635Z             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
2025-03-21T20:26:40.1182136Z             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
2025-03-21T20:26:40.1182756Z             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
2025-03-21T20:26:40.1182846Z             
2025-03-21T20:26:40.1183384Z              # 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)
2025-03-21T20:26:40.1183815Z             aten_unsqueeze_copy_default_96: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_132, -1)
2025-03-21T20:26:40.1183945Z             
2025-03-21T20:26:40.1184376Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1185069Z             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
2025-03-21T20:26:40.1185160Z             
2025-03-21T20:26:40.1185525Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1186482Z             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
2025-03-21T20:26:40.1186575Z             
2025-03-21T20:26:40.1187011Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1187628Z             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
2025-03-21T20:26:40.1187729Z             
2025-03-21T20:26:40.1188343Z              # 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])
2025-03-21T20:26:40.1188930Z             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
2025-03-21T20:26:40.1189020Z             
2025-03-21T20:26:40.1189553Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1189948Z             aten_sigmoid_default_8: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_96)
2025-03-21T20:26:40.1190633Z             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
2025-03-21T20:26:40.1190728Z             
2025-03-21T20:26:40.1191253Z              # 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)
2025-03-21T20:26:40.1191808Z             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
2025-03-21T20:26:40.1191901Z             
2025-03-21T20:26:40.1192325Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1192950Z             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
2025-03-21T20:26:40.1193056Z             
2025-03-21T20:26:40.1193425Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1194380Z             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
2025-03-21T20:26:40.1194471Z             
2025-03-21T20:26:40.1194904Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1195570Z             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
2025-03-21T20:26:40.1195663Z             
2025-03-21T20:26:40.1196209Z              # 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])
2025-03-21T20:26:40.1196781Z             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
2025-03-21T20:26:40.1196884Z             
2025-03-21T20:26:40.1197402Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1198027Z             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
2025-03-21T20:26:40.1198119Z             
2025-03-21T20:26:40.1198651Z              # 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)
2025-03-21T20:26:40.1199227Z             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
2025-03-21T20:26:40.1199331Z             
2025-03-21T20:26:40.1199734Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1200366Z             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
2025-03-21T20:26:40.1200471Z             
2025-03-21T20:26:40.1200839Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1201813Z             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
2025-03-21T20:26:40.1201908Z             
2025-03-21T20:26:40.1202345Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1203032Z             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
2025-03-21T20:26:40.1203142Z             
2025-03-21T20:26:40.1203686Z              # 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])
2025-03-21T20:26:40.1204270Z             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
2025-03-21T20:26:40.1204365Z             
2025-03-21T20:26:40.1204879Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1205487Z             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
2025-03-21T20:26:40.1205580Z             
2025-03-21T20:26:40.1206161Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.1206602Z             aten_pow_tensor_scalar_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_44, 2)
2025-03-21T20:26:40.1207084Z             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
2025-03-21T20:26:40.1207542Z             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
2025-03-21T20:26:40.1207984Z             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
2025-03-21T20:26:40.1208482Z             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
2025-03-21T20:26:40.1209158Z             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
2025-03-21T20:26:40.1209251Z             
2025-03-21T20:26:40.1209824Z              # 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)
2025-03-21T20:26:40.1210259Z             aten_unsqueeze_copy_default_99: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_136, -1)
2025-03-21T20:26:40.1210364Z             
2025-03-21T20:26:40.1210772Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1211394Z             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
2025-03-21T20:26:40.1211531Z             
2025-03-21T20:26:40.1211896Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1212836Z             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
2025-03-21T20:26:40.1212929Z             
2025-03-21T20:26:40.1213367Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1213978Z             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
2025-03-21T20:26:40.1214085Z             
2025-03-21T20:26:40.1214626Z              # 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])
2025-03-21T20:26:40.1215209Z             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
2025-03-21T20:26:40.1215301Z             
2025-03-21T20:26:40.1215820Z              # 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)
2025-03-21T20:26:40.1216267Z             aten_unsqueeze_copy_default_100: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_136, -1)
2025-03-21T20:26:40.1216357Z             
2025-03-21T20:26:40.1216798Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1217449Z             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
2025-03-21T20:26:40.1217552Z             
2025-03-21T20:26:40.1217921Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1218850Z             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
2025-03-21T20:26:40.1218941Z             
2025-03-21T20:26:40.1219613Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1220228Z             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
2025-03-21T20:26:40.1220319Z             
2025-03-21T20:26:40.1221057Z              # 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])
2025-03-21T20:26:40.1221626Z             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
2025-03-21T20:26:40.1221729Z             
2025-03-21T20:26:40.1222397Z              # 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)
2025-03-21T20:26:40.1222957Z             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
2025-03-21T20:26:40.1223080Z             
2025-03-21T20:26:40.1223495Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1224125Z             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
2025-03-21T20:26:40.1224227Z             
2025-03-21T20:26:40.1224777Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1225700Z             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
2025-03-21T20:26:40.1225809Z             
2025-03-21T20:26:40.1226231Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1226856Z             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
2025-03-21T20:26:40.1226946Z             
2025-03-21T20:26:40.1227502Z              # 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])
2025-03-21T20:26:40.1228072Z             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
2025-03-21T20:26:40.1228239Z             
2025-03-21T20:26:40.1228799Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.1229375Z             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
2025-03-21T20:26:40.1229468Z             
2025-03-21T20:26:40.1230006Z              # 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)
2025-03-21T20:26:40.1230571Z             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
2025-03-21T20:26:40.1230659Z             
2025-03-21T20:26:40.1231198Z              # 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)
2025-03-21T20:26:40.1231762Z             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
2025-03-21T20:26:40.1231867Z             
2025-03-21T20:26:40.1232433Z              # 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)
2025-03-21T20:26:40.1233018Z             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
2025-03-21T20:26:40.1233444Z             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)
2025-03-21T20:26:40.1234004Z             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
2025-03-21T20:26:40.1234570Z             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
2025-03-21T20:26:40.1235115Z             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
2025-03-21T20:26:40.1235208Z             
2025-03-21T20:26:40.1235749Z              # 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)
2025-03-21T20:26:40.1236318Z             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
2025-03-21T20:26:40.1236761Z             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)
2025-03-21T20:26:40.1237313Z             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
2025-03-21T20:26:40.1237854Z             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
2025-03-21T20:26:40.1238386Z             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
2025-03-21T20:26:40.1238478Z             
2025-03-21T20:26:40.1238966Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1239420Z             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])
2025-03-21T20:26:40.1239525Z             
2025-03-21T20:26:40.1239970Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1240403Z             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])
2025-03-21T20:26:40.1240493Z             
2025-03-21T20:26:40.1240983Z              # 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
2025-03-21T20:26:40.1241430Z             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)
2025-03-21T20:26:40.1241877Z             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)
2025-03-21T20:26:40.1242525Z             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
2025-03-21T20:26:40.1242621Z             
2025-03-21T20:26:40.1243117Z              # 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
2025-03-21T20:26:40.1243686Z             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
2025-03-21T20:26:40.1244267Z             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
2025-03-21T20:26:40.1244851Z             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
2025-03-21T20:26:40.1244953Z             
2025-03-21T20:26:40.1245433Z              # 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
2025-03-21T20:26:40.1245890Z             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)
2025-03-21T20:26:40.1246333Z             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)
2025-03-21T20:26:40.1246898Z             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
2025-03-21T20:26:40.1246989Z             
2025-03-21T20:26:40.1247476Z              # 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
2025-03-21T20:26:40.1248141Z             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
2025-03-21T20:26:40.1248816Z             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
2025-03-21T20:26:40.1249365Z             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
2025-03-21T20:26:40.1249484Z             
2025-03-21T20:26:40.1250052Z              # 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)
2025-03-21T20:26:40.1250584Z             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
2025-03-21T20:26:40.1251117Z             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
2025-03-21T20:26:40.1251885Z             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
2025-03-21T20:26:40.1252420Z             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
2025-03-21T20:26:40.1252513Z             
2025-03-21T20:26:40.1253075Z              # 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)
2025-03-21T20:26:40.1253600Z             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
2025-03-21T20:26:40.1254131Z             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
2025-03-21T20:26:40.1254900Z             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
2025-03-21T20:26:40.1255452Z             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
2025-03-21T20:26:40.1255541Z             
2025-03-21T20:26:40.1256088Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.1256677Z             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
2025-03-21T20:26:40.1256779Z             
2025-03-21T20:26:40.1257456Z              # 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)
2025-03-21T20:26:40.1258272Z             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
2025-03-21T20:26:40.1258365Z             
2025-03-21T20:26:40.1259039Z              # 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)
2025-03-21T20:26:40.1259840Z             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
2025-03-21T20:26:40.1259930Z             
2025-03-21T20:26:40.1260637Z              # 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)
2025-03-21T20:26:40.1261123Z             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])
2025-03-21T20:26:40.1261688Z             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
2025-03-21T20:26:40.1262193Z             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
2025-03-21T20:26:40.1262679Z             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])
2025-03-21T20:26:40.1263234Z             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
2025-03-21T20:26:40.1263756Z             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
2025-03-21T20:26:40.1264257Z             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])
2025-03-21T20:26:40.1264821Z             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
2025-03-21T20:26:40.1265327Z             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
2025-03-21T20:26:40.1265820Z             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])
2025-03-21T20:26:40.1266392Z             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
2025-03-21T20:26:40.1266911Z             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
2025-03-21T20:26:40.1267387Z             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])
2025-03-21T20:26:40.1267946Z             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
2025-03-21T20:26:40.1268456Z             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
2025-03-21T20:26:40.1268943Z             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])
2025-03-21T20:26:40.1269492Z             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
2025-03-21T20:26:40.1270008Z             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
2025-03-21T20:26:40.1270482Z             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])
2025-03-21T20:26:40.1271097Z             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
2025-03-21T20:26:40.1271606Z             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
2025-03-21T20:26:40.1272082Z             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])
2025-03-21T20:26:40.1272639Z             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
2025-03-21T20:26:40.1273141Z             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
2025-03-21T20:26:40.1273631Z             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])
2025-03-21T20:26:40.1274178Z             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
2025-03-21T20:26:40.1274720Z             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
2025-03-21T20:26:40.1275194Z             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])
2025-03-21T20:26:40.1275755Z             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
2025-03-21T20:26:40.1276261Z             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
2025-03-21T20:26:40.1276775Z             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])
2025-03-21T20:26:40.1277321Z             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
2025-03-21T20:26:40.1277840Z             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
2025-03-21T20:26:40.1278312Z             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])
2025-03-21T20:26:40.1278876Z             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
2025-03-21T20:26:40.1279385Z             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
2025-03-21T20:26:40.1282235Z             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
2025-03-21T20:26:40.1283110Z             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
2025-03-21T20:26:40.1283210Z             
2025-03-21T20:26:40.1284040Z              # 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)
2025-03-21T20:26:40.1284533Z             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])
2025-03-21T20:26:40.1285086Z             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
2025-03-21T20:26:40.1285612Z             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
2025-03-21T20:26:40.1286127Z             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])
2025-03-21T20:26:40.1286695Z             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
2025-03-21T20:26:40.1287203Z             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
2025-03-21T20:26:40.1287693Z             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])
2025-03-21T20:26:40.1288248Z             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
2025-03-21T20:26:40.1288796Z             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
2025-03-21T20:26:40.1289272Z             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])
2025-03-21T20:26:40.1289836Z             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
2025-03-21T20:26:40.1290345Z             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
2025-03-21T20:26:40.1290840Z             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])
2025-03-21T20:26:40.1291391Z             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
2025-03-21T20:26:40.1291910Z             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
2025-03-21T20:26:40.1292387Z             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])
2025-03-21T20:26:40.1293001Z             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
2025-03-21T20:26:40.1293511Z             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
2025-03-21T20:26:40.1294002Z             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])
2025-03-21T20:26:40.1294553Z             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
2025-03-21T20:26:40.1295073Z             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
2025-03-21T20:26:40.1295557Z             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])
2025-03-21T20:26:40.1296123Z             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
2025-03-21T20:26:40.1296654Z             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
2025-03-21T20:26:40.1297129Z             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])
2025-03-21T20:26:40.1297694Z             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
2025-03-21T20:26:40.1298207Z             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
2025-03-21T20:26:40.1298721Z             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])
2025-03-21T20:26:40.1299274Z             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
2025-03-21T20:26:40.1299793Z             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
2025-03-21T20:26:40.1300269Z             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])
2025-03-21T20:26:40.1300829Z             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
2025-03-21T20:26:40.1301337Z             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
2025-03-21T20:26:40.1301825Z             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])
2025-03-21T20:26:40.1302372Z             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
2025-03-21T20:26:40.1302895Z             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
2025-03-21T20:26:40.1305293Z             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
2025-03-21T20:26:40.1305844Z             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
2025-03-21T20:26:40.1305938Z             
2025-03-21T20:26:40.1306451Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.1307025Z             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
2025-03-21T20:26:40.1307127Z             
2025-03-21T20:26:40.1307732Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.1308345Z             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
2025-03-21T20:26:40.1308942Z             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
2025-03-21T20:26:40.1309521Z             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
2025-03-21T20:26:40.1310436Z             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
2025-03-21T20:26:40.1311025Z             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
2025-03-21T20:26:40.1311692Z             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
2025-03-21T20:26:40.1312233Z             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
2025-03-21T20:26:40.1312905Z             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
2025-03-21T20:26:40.1313014Z             
2025-03-21T20:26:40.1313502Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.1314080Z             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
2025-03-21T20:26:40.1314168Z             
2025-03-21T20:26:40.1314803Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.1315313Z             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
2025-03-21T20:26:40.1315403Z             
2025-03-21T20:26:40.1315882Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.1316458Z             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
2025-03-21T20:26:40.1317040Z             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
2025-03-21T20:26:40.1317638Z             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
2025-03-21T20:26:40.1318229Z             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
2025-03-21T20:26:40.1318917Z             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
2025-03-21T20:26:40.1319452Z             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
2025-03-21T20:26:40.1319544Z             
2025-03-21T20:26:40.1320191Z              # 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)
2025-03-21T20:26:40.1320820Z             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
2025-03-21T20:26:40.1321408Z             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
2025-03-21T20:26:40.1321499Z             
2025-03-21T20:26:40.1322038Z              # 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)
2025-03-21T20:26:40.1322695Z             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
2025-03-21T20:26:40.1322804Z             
2025-03-21T20:26:40.1323214Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1323849Z             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
2025-03-21T20:26:40.1323951Z             
2025-03-21T20:26:40.1324486Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1325445Z             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
2025-03-21T20:26:40.1325605Z             
2025-03-21T20:26:40.1326080Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1326699Z             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
2025-03-21T20:26:40.1326809Z             
2025-03-21T20:26:40.1327356Z              # 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])
2025-03-21T20:26:40.1327942Z             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
2025-03-21T20:26:40.1328035Z             
2025-03-21T20:26:40.1328411Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.1329027Z             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
2025-03-21T20:26:40.1329119Z             
2025-03-21T20:26:40.1329677Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1330063Z             aten_pow_tensor_scalar_19: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_48, 2)
2025-03-21T20:26:40.1330544Z             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
2025-03-21T20:26:40.1330999Z             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
2025-03-21T20:26:40.1331446Z             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
2025-03-21T20:26:40.1331981Z             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
2025-03-21T20:26:40.1332603Z             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
2025-03-21T20:26:40.1332694Z             
2025-03-21T20:26:40.1333230Z              # 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)
2025-03-21T20:26:40.1333665Z             aten_unsqueeze_copy_default_107: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_147, -1)
2025-03-21T20:26:40.1333757Z             
2025-03-21T20:26:40.1334179Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1334809Z             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
2025-03-21T20:26:40.1334915Z             
2025-03-21T20:26:40.1335281Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1336238Z             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
2025-03-21T20:26:40.1336359Z             
2025-03-21T20:26:40.1336817Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1337437Z             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
2025-03-21T20:26:40.1337540Z             
2025-03-21T20:26:40.1338080Z              # 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])
2025-03-21T20:26:40.1338662Z             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
2025-03-21T20:26:40.1338753Z             
2025-03-21T20:26:40.1339272Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1339683Z             aten_sigmoid_default_9: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_107)
2025-03-21T20:26:40.1340354Z             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
2025-03-21T20:26:40.1340457Z             
2025-03-21T20:26:40.1340982Z              # 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)
2025-03-21T20:26:40.1341845Z             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
2025-03-21T20:26:40.1341945Z             
2025-03-21T20:26:40.1342368Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1343194Z             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
2025-03-21T20:26:40.1343298Z             
2025-03-21T20:26:40.1343725Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1344675Z             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
2025-03-21T20:26:40.1344779Z             
2025-03-21T20:26:40.1345532Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1346544Z             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
2025-03-21T20:26:40.1346639Z             
2025-03-21T20:26:40.1347195Z              # 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])
2025-03-21T20:26:40.1347826Z             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
2025-03-21T20:26:40.1347933Z             
2025-03-21T20:26:40.1348452Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1349158Z             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
2025-03-21T20:26:40.1349253Z             
2025-03-21T20:26:40.1349776Z              # 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)
2025-03-21T20:26:40.1350336Z             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
2025-03-21T20:26:40.1350426Z             
2025-03-21T20:26:40.1350842Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1351474Z             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
2025-03-21T20:26:40.1351578Z             
2025-03-21T20:26:40.1351948Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1352927Z             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
2025-03-21T20:26:40.1353020Z             
2025-03-21T20:26:40.1353455Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1354065Z             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
2025-03-21T20:26:40.1354170Z             
2025-03-21T20:26:40.1354711Z              # 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])
2025-03-21T20:26:40.1355308Z             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
2025-03-21T20:26:40.1355411Z             
2025-03-21T20:26:40.1355927Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1356540Z             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
2025-03-21T20:26:40.1356633Z             
2025-03-21T20:26:40.1357216Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.1357600Z             aten_pow_tensor_scalar_20: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_49, 2)
2025-03-21T20:26:40.1358083Z             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
2025-03-21T20:26:40.1358539Z             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
2025-03-21T20:26:40.1358980Z             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
2025-03-21T20:26:40.1359479Z             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
2025-03-21T20:26:40.1360254Z             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
2025-03-21T20:26:40.1360352Z             
2025-03-21T20:26:40.1360880Z              # 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)
2025-03-21T20:26:40.1361330Z             aten_unsqueeze_copy_default_110: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_151, -1)
2025-03-21T20:26:40.1361420Z             
2025-03-21T20:26:40.1361841Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1362540Z             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
2025-03-21T20:26:40.1362650Z             
2025-03-21T20:26:40.1363017Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1364002Z             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
2025-03-21T20:26:40.1364095Z             
2025-03-21T20:26:40.1364532Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1365141Z             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
2025-03-21T20:26:40.1365260Z             
2025-03-21T20:26:40.1365815Z              # 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])
2025-03-21T20:26:40.1366384Z             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
2025-03-21T20:26:40.1366489Z             
2025-03-21T20:26:40.1367013Z              # 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)
2025-03-21T20:26:40.1367464Z             aten_unsqueeze_copy_default_111: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_151, -1)
2025-03-21T20:26:40.1367558Z             
2025-03-21T20:26:40.1367981Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1368611Z             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
2025-03-21T20:26:40.1368718Z             
2025-03-21T20:26:40.1369086Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1370015Z             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
2025-03-21T20:26:40.1370146Z             
2025-03-21T20:26:40.1370565Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1371216Z             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
2025-03-21T20:26:40.1371309Z             
2025-03-21T20:26:40.1371865Z              # 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])
2025-03-21T20:26:40.1372437Z             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
2025-03-21T20:26:40.1372542Z             
2025-03-21T20:26:40.1373064Z              # 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)
2025-03-21T20:26:40.1373620Z             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
2025-03-21T20:26:40.1373712Z             
2025-03-21T20:26:40.1374119Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1374787Z             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
2025-03-21T20:26:40.1374881Z             
2025-03-21T20:26:40.1375262Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1376194Z             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
2025-03-21T20:26:40.1376325Z             
2025-03-21T20:26:40.1376748Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1377369Z             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
2025-03-21T20:26:40.1377462Z             
2025-03-21T20:26:40.1378009Z              # 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])
2025-03-21T20:26:40.1378576Z             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
2025-03-21T20:26:40.1378682Z             
2025-03-21T20:26:40.1379206Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.1379778Z             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
2025-03-21T20:26:40.1379879Z             
2025-03-21T20:26:40.1380406Z              # 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)
2025-03-21T20:26:40.1380980Z             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
2025-03-21T20:26:40.1381098Z             
2025-03-21T20:26:40.1381658Z              # 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)
2025-03-21T20:26:40.1382222Z             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
2025-03-21T20:26:40.1382323Z             
2025-03-21T20:26:40.1382856Z              # 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)
2025-03-21T20:26:40.1383437Z             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
2025-03-21T20:26:40.1383863Z             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)
2025-03-21T20:26:40.1384421Z             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
2025-03-21T20:26:40.1385001Z             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
2025-03-21T20:26:40.1385541Z             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
2025-03-21T20:26:40.1385632Z             
2025-03-21T20:26:40.1386160Z              # 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)
2025-03-21T20:26:40.1386745Z             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
2025-03-21T20:26:40.1387203Z             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)
2025-03-21T20:26:40.1387761Z             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
2025-03-21T20:26:40.1388293Z             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
2025-03-21T20:26:40.1388831Z             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
2025-03-21T20:26:40.1388924Z             
2025-03-21T20:26:40.1389383Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1389800Z             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])
2025-03-21T20:26:40.1389905Z             
2025-03-21T20:26:40.1390346Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1390780Z             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])
2025-03-21T20:26:40.1390871Z             
2025-03-21T20:26:40.1391352Z              # 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
2025-03-21T20:26:40.1391837Z             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)
2025-03-21T20:26:40.1392308Z             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)
2025-03-21T20:26:40.1392881Z             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
2025-03-21T20:26:40.1392973Z             
2025-03-21T20:26:40.1393464Z              # 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
2025-03-21T20:26:40.1394033Z             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
2025-03-21T20:26:40.1394613Z             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
2025-03-21T20:26:40.1395163Z             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
2025-03-21T20:26:40.1395290Z             
2025-03-21T20:26:40.1395774Z              # 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
2025-03-21T20:26:40.1396227Z             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)
2025-03-21T20:26:40.1396668Z             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)
2025-03-21T20:26:40.1397220Z             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
2025-03-21T20:26:40.1397348Z             
2025-03-21T20:26:40.1397828Z              # 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
2025-03-21T20:26:40.1398501Z             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
2025-03-21T20:26:40.1399158Z             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
2025-03-21T20:26:40.1399724Z             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
2025-03-21T20:26:40.1399815Z             
2025-03-21T20:26:40.1400351Z              # 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)
2025-03-21T20:26:40.1400880Z             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
2025-03-21T20:26:40.1401415Z             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
2025-03-21T20:26:40.1402183Z             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
2025-03-21T20:26:40.1403121Z             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
2025-03-21T20:26:40.1403222Z             
2025-03-21T20:26:40.1403836Z              # 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)
2025-03-21T20:26:40.1404369Z             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
2025-03-21T20:26:40.1405245Z             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
2025-03-21T20:26:40.1406015Z             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
2025-03-21T20:26:40.1406605Z             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
2025-03-21T20:26:40.1406730Z             
2025-03-21T20:26:40.1407270Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.1408429Z             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
2025-03-21T20:26:40.1408525Z             
2025-03-21T20:26:40.1409282Z              # 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)
2025-03-21T20:26:40.1410118Z             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
2025-03-21T20:26:40.1410228Z             
2025-03-21T20:26:40.1411209Z              # 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)
2025-03-21T20:26:40.1412349Z             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
2025-03-21T20:26:40.1412446Z             
2025-03-21T20:26:40.1413165Z              # 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)
2025-03-21T20:26:40.1413651Z             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])
2025-03-21T20:26:40.1414219Z             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
2025-03-21T20:26:40.1414729Z             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
2025-03-21T20:26:40.1415217Z             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])
2025-03-21T20:26:40.1415825Z             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
2025-03-21T20:26:40.1416347Z             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
2025-03-21T20:26:40.1416823Z             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])
2025-03-21T20:26:40.1417381Z             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
2025-03-21T20:26:40.1417884Z             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
2025-03-21T20:26:40.1418376Z             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])
2025-03-21T20:26:40.1418952Z             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
2025-03-21T20:26:40.1419458Z             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
2025-03-21T20:26:40.1419944Z             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])
2025-03-21T20:26:40.1420490Z             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
2025-03-21T20:26:40.1421010Z             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
2025-03-21T20:26:40.1421515Z             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])
2025-03-21T20:26:40.1422075Z             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
2025-03-21T20:26:40.1422580Z             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
2025-03-21T20:26:40.1423064Z             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])
2025-03-21T20:26:40.1423616Z             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
2025-03-21T20:26:40.1424137Z             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
2025-03-21T20:26:40.1424797Z             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])
2025-03-21T20:26:40.1425360Z             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
2025-03-21T20:26:40.1425866Z             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
2025-03-21T20:26:40.1426451Z             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])
2025-03-21T20:26:40.1427007Z             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
2025-03-21T20:26:40.1427525Z             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
2025-03-21T20:26:40.1428003Z             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])
2025-03-21T20:26:40.1428560Z             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
2025-03-21T20:26:40.1429070Z             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
2025-03-21T20:26:40.1429589Z             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])
2025-03-21T20:26:40.1430137Z             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
2025-03-21T20:26:40.1430655Z             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
2025-03-21T20:26:40.1431133Z             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])
2025-03-21T20:26:40.1431725Z             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
2025-03-21T20:26:40.1432235Z             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
2025-03-21T20:26:40.1434597Z             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
2025-03-21T20:26:40.1435136Z             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
2025-03-21T20:26:40.1435239Z             
2025-03-21T20:26:40.1435889Z              # 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)
2025-03-21T20:26:40.1436376Z             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])
2025-03-21T20:26:40.1436985Z             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
2025-03-21T20:26:40.1437506Z             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
2025-03-21T20:26:40.1437986Z             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])
2025-03-21T20:26:40.1438550Z             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
2025-03-21T20:26:40.1439058Z             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
2025-03-21T20:26:40.1439552Z             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])
2025-03-21T20:26:40.1440105Z             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
2025-03-21T20:26:40.1440643Z             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
2025-03-21T20:26:40.1441120Z             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])
2025-03-21T20:26:40.1441682Z             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
2025-03-21T20:26:40.1442192Z             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
2025-03-21T20:26:40.1442761Z             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])
2025-03-21T20:26:40.1443313Z             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
2025-03-21T20:26:40.1443817Z             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
2025-03-21T20:26:40.1444302Z             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])
2025-03-21T20:26:40.1444853Z             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
2025-03-21T20:26:40.1445371Z             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
2025-03-21T20:26:40.1445849Z             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])
2025-03-21T20:26:40.1446411Z             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
2025-03-21T20:26:40.1446916Z             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
2025-03-21T20:26:40.1447467Z             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])
2025-03-21T20:26:40.1448021Z             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
2025-03-21T20:26:40.1448541Z             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
2025-03-21T20:26:40.1449015Z             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])
2025-03-21T20:26:40.1449574Z             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
2025-03-21T20:26:40.1450083Z             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
2025-03-21T20:26:40.1450602Z             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])
2025-03-21T20:26:40.1451163Z             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
2025-03-21T20:26:40.1451682Z             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
2025-03-21T20:26:40.1452156Z             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])
2025-03-21T20:26:40.1452726Z             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
2025-03-21T20:26:40.1453263Z             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
2025-03-21T20:26:40.1453753Z             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])
2025-03-21T20:26:40.1454301Z             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
2025-03-21T20:26:40.1454824Z             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
2025-03-21T20:26:40.1457181Z             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
2025-03-21T20:26:40.1457729Z             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
2025-03-21T20:26:40.1457853Z             
2025-03-21T20:26:40.1458395Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.1458980Z             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
2025-03-21T20:26:40.1459086Z             
2025-03-21T20:26:40.1459669Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.1460288Z             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
2025-03-21T20:26:40.1460895Z             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
2025-03-21T20:26:40.1461474Z             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
2025-03-21T20:26:40.1462110Z             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
2025-03-21T20:26:40.1462703Z             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
2025-03-21T20:26:40.1463370Z             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
2025-03-21T20:26:40.1464146Z             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
2025-03-21T20:26:40.1464915Z             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
2025-03-21T20:26:40.1465023Z             
2025-03-21T20:26:40.1465515Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.1466419Z             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
2025-03-21T20:26:40.1466530Z             
2025-03-21T20:26:40.1467104Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.1467630Z             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
2025-03-21T20:26:40.1468055Z             
2025-03-21T20:26:40.1468536Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.1469168Z             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
2025-03-21T20:26:40.1469760Z             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
2025-03-21T20:26:40.1470486Z             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
2025-03-21T20:26:40.1471081Z             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
2025-03-21T20:26:40.1471749Z             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
2025-03-21T20:26:40.1472329Z             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
2025-03-21T20:26:40.1472423Z             
2025-03-21T20:26:40.1473072Z              # 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)
2025-03-21T20:26:40.1473783Z             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
2025-03-21T20:26:40.1474373Z             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
2025-03-21T20:26:40.1474465Z             
2025-03-21T20:26:40.1474993Z              # 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)
2025-03-21T20:26:40.1475598Z             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
2025-03-21T20:26:40.1475722Z             
2025-03-21T20:26:40.1476144Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1476777Z             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
2025-03-21T20:26:40.1476880Z             
2025-03-21T20:26:40.1477247Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1478495Z             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
2025-03-21T20:26:40.1478588Z             
2025-03-21T20:26:40.1479593Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1480316Z             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
2025-03-21T20:26:40.1480408Z             
2025-03-21T20:26:40.1480968Z              # 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])
2025-03-21T20:26:40.1481644Z             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
2025-03-21T20:26:40.1481785Z             
2025-03-21T20:26:40.1482161Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.1482937Z             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
2025-03-21T20:26:40.1483032Z             
2025-03-21T20:26:40.1483562Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1483944Z             aten_pow_tensor_scalar_21: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_53, 2)
2025-03-21T20:26:40.1484427Z             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
2025-03-21T20:26:40.1484887Z             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
2025-03-21T20:26:40.1485336Z             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
2025-03-21T20:26:40.1485868Z             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
2025-03-21T20:26:40.1486499Z             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
2025-03-21T20:26:40.1486591Z             
2025-03-21T20:26:40.1487118Z              # 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)
2025-03-21T20:26:40.1487571Z             aten_unsqueeze_copy_default_118: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_162, -1)
2025-03-21T20:26:40.1487702Z             
2025-03-21T20:26:40.1488123Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1488751Z             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
2025-03-21T20:26:40.1488853Z             
2025-03-21T20:26:40.1489221Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1490185Z             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
2025-03-21T20:26:40.1490283Z             
2025-03-21T20:26:40.1490723Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1491342Z             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
2025-03-21T20:26:40.1491434Z             
2025-03-21T20:26:40.1491990Z              # 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])
2025-03-21T20:26:40.1492564Z             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
2025-03-21T20:26:40.1492697Z             
2025-03-21T20:26:40.1493247Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1493663Z             aten_sigmoid_default_10: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_118)
2025-03-21T20:26:40.1494313Z             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
2025-03-21T20:26:40.1494417Z             
2025-03-21T20:26:40.1494946Z              # 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)
2025-03-21T20:26:40.1495500Z             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
2025-03-21T20:26:40.1495594Z             
2025-03-21T20:26:40.1496004Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1496668Z             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
2025-03-21T20:26:40.1496760Z             
2025-03-21T20:26:40.1497141Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1498088Z             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
2025-03-21T20:26:40.1498193Z             
2025-03-21T20:26:40.1498618Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1499276Z             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
2025-03-21T20:26:40.1499367Z             
2025-03-21T20:26:40.1499920Z              # 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])
2025-03-21T20:26:40.1500491Z             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
2025-03-21T20:26:40.1500592Z             
2025-03-21T20:26:40.1501107Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1501724Z             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
2025-03-21T20:26:40.1501828Z             
2025-03-21T20:26:40.1502352Z              # 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)
2025-03-21T20:26:40.1502907Z             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
2025-03-21T20:26:40.1502998Z             
2025-03-21T20:26:40.1503413Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1504096Z             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
2025-03-21T20:26:40.1504201Z             
2025-03-21T20:26:40.1504566Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1505524Z             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
2025-03-21T20:26:40.1505618Z             
2025-03-21T20:26:40.1506037Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1506660Z             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
2025-03-21T20:26:40.1506755Z             
2025-03-21T20:26:40.1507306Z              # 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])
2025-03-21T20:26:40.1507898Z             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
2025-03-21T20:26:40.1508003Z             
2025-03-21T20:26:40.1508516Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1509125Z             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
2025-03-21T20:26:40.1509218Z             
2025-03-21T20:26:40.1509799Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options
2025-03-21T20:26:40.1510208Z             aten_pow_tensor_scalar_22: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_54, 2)
2025-03-21T20:26:40.1510678Z             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
2025-03-21T20:26:40.1511141Z             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
2025-03-21T20:26:40.1511571Z             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
2025-03-21T20:26:40.1512086Z             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
2025-03-21T20:26:40.1512753Z             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
2025-03-21T20:26:40.1512855Z             
2025-03-21T20:26:40.1513376Z              # 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)
2025-03-21T20:26:40.1513823Z             aten_unsqueeze_copy_default_121: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_166, -1)
2025-03-21T20:26:40.1513913Z             
2025-03-21T20:26:40.1514332Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1515010Z             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
2025-03-21T20:26:40.1515117Z             
2025-03-21T20:26:40.1515489Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1516418Z             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
2025-03-21T20:26:40.1516522Z             
2025-03-21T20:26:40.1516944Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1517566Z             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
2025-03-21T20:26:40.1517659Z             
2025-03-21T20:26:40.1518236Z              # 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])
2025-03-21T20:26:40.1518809Z             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
2025-03-21T20:26:40.1518913Z             
2025-03-21T20:26:40.1519432Z              # 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)
2025-03-21T20:26:40.1519883Z             aten_unsqueeze_copy_default_122: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_166, -1)
2025-03-21T20:26:40.1519976Z             
2025-03-21T20:26:40.1520417Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1521061Z             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
2025-03-21T20:26:40.1521152Z             
2025-03-21T20:26:40.1521533Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1522520Z             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
2025-03-21T20:26:40.1522633Z             
2025-03-21T20:26:40.1523059Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1523683Z             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
2025-03-21T20:26:40.1523774Z             
2025-03-21T20:26:40.1524758Z              # 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])
2025-03-21T20:26:40.1525338Z             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
2025-03-21T20:26:40.1525442Z             
2025-03-21T20:26:40.1526043Z              # 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)
2025-03-21T20:26:40.1526627Z             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
2025-03-21T20:26:40.1526733Z             
2025-03-21T20:26:40.1527342Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1527987Z             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
2025-03-21T20:26:40.1528079Z             
2025-03-21T20:26:40.1528464Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1529652Z             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
2025-03-21T20:26:40.1529765Z             
2025-03-21T20:26:40.1530260Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1530949Z             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
2025-03-21T20:26:40.1531042Z             
2025-03-21T20:26:40.1531584Z              # 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])
2025-03-21T20:26:40.1532624Z             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
2025-03-21T20:26:40.1532764Z             
2025-03-21T20:26:40.1533408Z              # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim)
2025-03-21T20:26:40.1533980Z             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
2025-03-21T20:26:40.1534287Z             
2025-03-21T20:26:40.1534820Z              # 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)
2025-03-21T20:26:40.1535483Z             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
2025-03-21T20:26:40.1535580Z             
2025-03-21T20:26:40.1536120Z              # 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)
2025-03-21T20:26:40.1536686Z             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
2025-03-21T20:26:40.1536790Z             
2025-03-21T20:26:40.1537323Z              # 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)
2025-03-21T20:26:40.1537900Z             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
2025-03-21T20:26:40.1538510Z             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)
2025-03-21T20:26:40.1539062Z             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
2025-03-21T20:26:40.1539674Z             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
2025-03-21T20:26:40.1540205Z             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
2025-03-21T20:26:40.1540311Z             
2025-03-21T20:26:40.1540899Z              # 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)
2025-03-21T20:26:40.1541488Z             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
2025-03-21T20:26:40.1541970Z             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)
2025-03-21T20:26:40.1542666Z             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
2025-03-21T20:26:40.1543206Z             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
2025-03-21T20:26:40.1543815Z             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
2025-03-21T20:26:40.1543909Z             
2025-03-21T20:26:40.1544399Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1544985Z             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
2025-03-21T20:26:40.1545077Z             
2025-03-21T20:26:40.1545530Z              # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape)
2025-03-21T20:26:40.1546044Z             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
2025-03-21T20:26:40.1546231Z             
2025-03-21T20:26:40.1546714Z              # 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
2025-03-21T20:26:40.1547175Z             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)
2025-03-21T20:26:40.1547668Z             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)
2025-03-21T20:26:40.1548231Z             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
2025-03-21T20:26:40.1548322Z             
2025-03-21T20:26:40.1559232Z              # 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
2025-03-21T20:26:40.1559980Z             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
2025-03-21T20:26:40.1560866Z             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
2025-03-21T20:26:40.1561427Z             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
2025-03-21T20:26:40.1561538Z             
2025-03-21T20:26:40.1562037Z              # 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
2025-03-21T20:26:40.1562581Z             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)
2025-03-21T20:26:40.1563032Z             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)
2025-03-21T20:26:40.1563584Z             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
2025-03-21T20:26:40.1563690Z             
2025-03-21T20:26:40.1564207Z              # 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
2025-03-21T20:26:40.1564885Z             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
2025-03-21T20:26:40.1565544Z             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
2025-03-21T20:26:40.1566107Z             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
2025-03-21T20:26:40.1566230Z             
2025-03-21T20:26:40.1566776Z              # 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)
2025-03-21T20:26:40.1567307Z             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
2025-03-21T20:26:40.1567847Z             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
2025-03-21T20:26:40.1568622Z             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
2025-03-21T20:26:40.1569157Z             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
2025-03-21T20:26:40.1569249Z             
2025-03-21T20:26:40.1569794Z              # 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)
2025-03-21T20:26:40.1570321Z             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
2025-03-21T20:26:40.1570859Z             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
2025-03-21T20:26:40.1571681Z             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
2025-03-21T20:26:40.1572218Z             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
2025-03-21T20:26:40.1572309Z             
2025-03-21T20:26:40.1572844Z              # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2)  # (bs, n_local_heads, seqlen, head_dim)
2025-03-21T20:26:40.1573453Z             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
2025-03-21T20:26:40.1573549Z             
2025-03-21T20:26:40.1574240Z              # 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)
2025-03-21T20:26:40.1575073Z             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
2025-03-21T20:26:40.1575181Z             
2025-03-21T20:26:40.1575855Z              # 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)
2025-03-21T20:26:40.1576663Z             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
2025-03-21T20:26:40.1576786Z             
2025-03-21T20:26:40.1577441Z              # 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)
2025-03-21T20:26:40.1577927Z             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])
2025-03-21T20:26:40.1578491Z             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
2025-03-21T20:26:40.1579000Z             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
2025-03-21T20:26:40.1579496Z             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])
2025-03-21T20:26:40.1580049Z             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
2025-03-21T20:26:40.1580571Z             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
2025-03-21T20:26:40.1581049Z             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])
2025-03-21T20:26:40.1581612Z             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
2025-03-21T20:26:40.1582178Z             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
2025-03-21T20:26:40.1582671Z             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])
2025-03-21T20:26:40.1583223Z             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
2025-03-21T20:26:40.1583728Z             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
2025-03-21T20:26:40.1584218Z             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])
2025-03-21T20:26:40.1584874Z             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
2025-03-21T20:26:40.1585395Z             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
2025-03-21T20:26:40.1585900Z             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])
2025-03-21T20:26:40.1586464Z             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
2025-03-21T20:26:40.1586973Z             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
2025-03-21T20:26:40.1587568Z             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])
2025-03-21T20:26:40.1588154Z             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
2025-03-21T20:26:40.1588675Z             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
2025-03-21T20:26:40.1589150Z             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])
2025-03-21T20:26:40.1589712Z             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
2025-03-21T20:26:40.1590310Z             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
2025-03-21T20:26:40.1590804Z             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])
2025-03-21T20:26:40.1591360Z             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
2025-03-21T20:26:40.1591880Z             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
2025-03-21T20:26:40.1592355Z             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])
2025-03-21T20:26:40.1593076Z             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
2025-03-21T20:26:40.1593591Z             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
2025-03-21T20:26:40.1594079Z             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])
2025-03-21T20:26:40.1594630Z             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
2025-03-21T20:26:40.1595221Z             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
2025-03-21T20:26:40.1595706Z             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])
2025-03-21T20:26:40.1596300Z             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
2025-03-21T20:26:40.1596812Z             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
2025-03-21T20:26:40.1599265Z             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
2025-03-21T20:26:40.1599833Z             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
2025-03-21T20:26:40.1599934Z             
2025-03-21T20:26:40.1600651Z              # 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)
2025-03-21T20:26:40.1601146Z             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])
2025-03-21T20:26:40.1601700Z             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
2025-03-21T20:26:40.1602224Z             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
2025-03-21T20:26:40.1602766Z             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])
2025-03-21T20:26:40.1603331Z             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
2025-03-21T20:26:40.1603920Z             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
2025-03-21T20:26:40.1604412Z             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])
2025-03-21T20:26:40.1604965Z             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
2025-03-21T20:26:40.1605483Z             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
2025-03-21T20:26:40.1605958Z             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])
2025-03-21T20:26:40.1606528Z             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
2025-03-21T20:26:40.1607033Z             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
2025-03-21T20:26:40.1607546Z             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])
2025-03-21T20:26:40.1608098Z             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
2025-03-21T20:26:40.1608608Z             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
2025-03-21T20:26:40.1609099Z             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])
2025-03-21T20:26:40.1609672Z             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
2025-03-21T20:26:40.1610191Z             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
2025-03-21T20:26:40.1610666Z             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])
2025-03-21T20:26:40.1611230Z             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
2025-03-21T20:26:40.1611742Z             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
2025-03-21T20:26:40.1612234Z             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])
2025-03-21T20:26:40.1612786Z             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
2025-03-21T20:26:40.1613303Z             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
2025-03-21T20:26:40.1613781Z             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])
2025-03-21T20:26:40.1614392Z             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
2025-03-21T20:26:40.1614901Z             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
2025-03-21T20:26:40.1615391Z             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])
2025-03-21T20:26:40.1615936Z             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
2025-03-21T20:26:40.1616453Z             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
2025-03-21T20:26:40.1616933Z             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])
2025-03-21T20:26:40.1617496Z             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
2025-03-21T20:26:40.1618029Z             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
2025-03-21T20:26:40.1618517Z             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])
2025-03-21T20:26:40.1619064Z             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
2025-03-21T20:26:40.1619587Z             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
2025-03-21T20:26:40.1621961Z             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
2025-03-21T20:26:40.1622513Z             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
2025-03-21T20:26:40.1622609Z             
2025-03-21T20:26:40.1623124Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos]
2025-03-21T20:26:40.1623783Z             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
2025-03-21T20:26:40.1623886Z             
2025-03-21T20:26:40.1624688Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor
2025-03-21T20:26:40.1625307Z             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
2025-03-21T20:26:40.1626027Z             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
2025-03-21T20:26:40.1626612Z             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
2025-03-21T20:26:40.1627225Z             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
2025-03-21T20:26:40.1627817Z             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
2025-03-21T20:26:40.1628493Z             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
2025-03-21T20:26:40.1629069Z             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
2025-03-21T20:26:40.1629742Z             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
2025-03-21T20:26:40.1629849Z             
2025-03-21T20:26:40.1630341Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask
2025-03-21T20:26:40.1630918Z             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
2025-03-21T20:26:40.1631062Z             
2025-03-21T20:26:40.1631633Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1)
2025-03-21T20:26:40.1632155Z             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
2025-03-21T20:26:40.1632244Z             
2025-03-21T20:26:40.1632723Z              # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v
2025-03-21T20:26:40.1633300Z             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
2025-03-21T20:26:40.1633891Z             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
2025-03-21T20:26:40.1634487Z             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
2025-03-21T20:26:40.1635077Z             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
2025-03-21T20:26:40.1635740Z             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
2025-03-21T20:26:40.1636325Z             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
2025-03-21T20:26:40.1636419Z             
2025-03-21T20:26:40.1637058Z              # 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)
2025-03-21T20:26:40.1637652Z             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
2025-03-21T20:26:40.1638245Z             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
2025-03-21T20:26:40.1638336Z             
2025-03-21T20:26:40.1638861Z              # 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)
2025-03-21T20:26:40.1639466Z             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
2025-03-21T20:26:40.1639560Z             
2025-03-21T20:26:40.1640008Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1640639Z             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
2025-03-21T20:26:40.1640743Z             
2025-03-21T20:26:40.1641113Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1642065Z             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
2025-03-21T20:26:40.1642184Z             
2025-03-21T20:26:40.1642680Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1643391Z             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
2025-03-21T20:26:40.1643485Z             
2025-03-21T20:26:40.1644037Z              # 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])
2025-03-21T20:26:40.1644608Z             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
2025-03-21T20:26:40.1644717Z             
2025-03-21T20:26:40.1645090Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h
2025-03-21T20:26:40.1645703Z             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
2025-03-21T20:26:40.1645795Z             
2025-03-21T20:26:40.1646317Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1646699Z             aten_pow_tensor_scalar_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_add_tensor_58, 2)
2025-03-21T20:26:40.1647213Z             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
2025-03-21T20:26:40.1647693Z             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
2025-03-21T20:26:40.1648137Z             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
2025-03-21T20:26:40.1648637Z             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
2025-03-21T20:26:40.1649262Z             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
2025-03-21T20:26:40.1649354Z             
2025-03-21T20:26:40.1649896Z              # 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)
2025-03-21T20:26:40.1650334Z             aten_unsqueeze_copy_default_129: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(aten_mul_tensor_177, -1)
2025-03-21T20:26:40.1650422Z             
2025-03-21T20:26:40.1650867Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1651497Z             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
2025-03-21T20:26:40.1651598Z             
2025-03-21T20:26:40.1651961Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1652926Z             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
2025-03-21T20:26:40.1653043Z             
2025-03-21T20:26:40.1653481Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1654098Z             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
2025-03-21T20:26:40.1654202Z             
2025-03-21T20:26:40.1654746Z              # 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])
2025-03-21T20:26:40.1655337Z             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
2025-03-21T20:26:40.1655430Z             
2025-03-21T20:26:40.1655950Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1656360Z             aten_sigmoid_default_11: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(aten_squeeze_copy_dims_129)
2025-03-21T20:26:40.1657012Z             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
2025-03-21T20:26:40.1657114Z             
2025-03-21T20:26:40.1657638Z              # 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)
2025-03-21T20:26:40.1658245Z             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
2025-03-21T20:26:40.1658339Z             
2025-03-21T20:26:40.1658758Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1659387Z             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
2025-03-21T20:26:40.1659487Z             
2025-03-21T20:26:40.1659855Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1660805Z             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
2025-03-21T20:26:40.1660913Z             
2025-03-21T20:26:40.1661339Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1661988Z             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
2025-03-21T20:26:40.1662079Z             
2025-03-21T20:26:40.1662633Z              # 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])
2025-03-21T20:26:40.1663205Z             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
2025-03-21T20:26:40.1663309Z             
2025-03-21T20:26:40.1663828Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-03-21T20:26:40.1664498Z             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
2025-03-21T20:26:40.1664588Z             
2025-03-21T20:26:40.1665111Z              # 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)
2025-03-21T20:26:40.1665666Z             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
2025-03-21T20:26:40.1665758Z             
2025-03-21T20:26:40.1666174Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1666812Z             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
2025-03-21T20:26:40.1666909Z             
2025-03-21T20:26:40.1667271Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1668224Z             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
2025-03-21T20:26:40.1668314Z             
2025-03-21T20:26:40.1668775Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1669407Z             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
2025-03-21T20:26:40.1669514Z             
2025-03-21T20:26:40.1670054Z              # 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])
2025-03-21T20:26:40.1670623Z             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
2025-03-21T20:26:40.1670724Z             
2025-03-21T20:26:40.1671236Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h))
2025-03-21T20:26:40.1671849Z             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
2025-03-21T20:26:40.1671939Z             
2025-03-21T20:26:40.1672350Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:180 in forward, code: h = h[:, -1, :]
2025-03-21T20:26:40.1672845Z             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
2025-03-21T20:26:40.1672941Z             
2025-03-21T20:26:40.1673346Z              # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:182 in forward, code: h = self.norm(h)
2025-03-21T20:26:40.1673749Z             aten_pow_tensor_scalar_24: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(aten_select_copy_int_576, 2)
2025-03-21T20:26:40.1674217Z             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
2025-03-21T20:26:40.1674695Z             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
2025-03-21T20:26:40.1675128Z             aten_rsqrt_default_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_24);  aten_add_scalar_24 = None
2025-03-21T20:26:40.1675736Z             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
2025-03-21T20:26:40.1676260Z             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
2025-03-21T20:26:40.1676353Z             
2025-03-21T20:26:40.1676889Z              # 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)
2025-03-21T20:26:40.1677413Z             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
2025-03-21T20:26:40.1677514Z             
2025-03-21T20:26:40.1677921Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2)
2025-03-21T20:26:40.1678528Z             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
2025-03-21T20:26:40.1678615Z             
2025-03-21T20:26:40.1678981Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x)
2025-03-21T20:26:40.1679876Z             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
2025-03-21T20:26:40.1679970Z             
2025-03-21T20:26:40.1680403Z              # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2)
2025-03-21T20:26:40.1681022Z             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
2025-03-21T20:26:40.1681123Z             
2025-03-21T20:26:40.1681663Z              # 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])
2025-03-21T20:26:40.1682272Z             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
2025-03-21T20:26:40.1682364Z             
2025-03-21T20:26:40.1683249Z              # 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
2025-03-21T20:26:40.1684042Z             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
2025-03-21T20:26:40.1684146Z             
2025-03-21T20:26:40.1684915Z              # 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
2025-03-21T20:26:40.1685727Z             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
2025-03-21T20:26:40.1685846Z             
2025-03-21T20:26:40.1686625Z              # 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
2025-03-21T20:26:40.1687419Z             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
2025-03-21T20:26:40.1687518Z             
2025-03-21T20:26:40.1688282Z              # 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
2025-03-21T20:26:40.1689083Z             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
2025-03-21T20:26:40.1689174Z             
2025-03-21T20:26:40.1689941Z              # 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
2025-03-21T20:26:40.1690730Z             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
2025-03-21T20:26:40.1690890Z             
2025-03-21T20:26:40.1691648Z              # 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
2025-03-21T20:26:40.1692448Z             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
2025-03-21T20:26:40.1692535Z             
2025-03-21T20:26:40.1693300Z              # 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
2025-03-21T20:26:40.1694096Z             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
2025-03-21T20:26:40.1694194Z             
2025-03-21T20:26:40.1694981Z              # 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
2025-03-21T20:26:40.1695779Z             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
2025-03-21T20:26:40.1695870Z             
2025-03-21T20:26:40.1696626Z              # 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
2025-03-21T20:26:40.1697453Z             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
2025-03-21T20:26:40.1697539Z             
2025-03-21T20:26:40.1698310Z              # 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
2025-03-21T20:26:40.1699094Z             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
2025-03-21T20:26:40.1699200Z             
2025-03-21T20:26:40.1699968Z              # 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
2025-03-21T20:26:40.1700778Z             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
2025-03-21T20:26:40.1700868Z             
2025-03-21T20:26:40.1701644Z              # 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
2025-03-21T20:26:40.1702498Z             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
2025-03-21T20:26:40.1702594Z             
2025-03-21T20:26:40.1703369Z              # 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
2025-03-21T20:26:40.1704170Z             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
2025-03-21T20:26:40.1704257Z             
2025-03-21T20:26:40.1705029Z              # 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
2025-03-21T20:26:40.1705858Z             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
2025-03-21T20:26:40.1705963Z             
2025-03-21T20:26:40.1706735Z              # 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
2025-03-21T20:26:40.1707541Z             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
2025-03-21T20:26:40.1707656Z             
2025-03-21T20:26:40.1708432Z              # 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
2025-03-21T20:26:40.1709229Z             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
2025-03-21T20:26:40.1709319Z             
2025-03-21T20:26:40.1710084Z              # 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
2025-03-21T20:26:40.1710894Z             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
2025-03-21T20:26:40.1710984Z             
2025-03-21T20:26:40.1711755Z              # 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
2025-03-21T20:26:40.1712561Z             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
2025-03-21T20:26:40.1712681Z             
2025-03-21T20:26:40.1713479Z              # 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
2025-03-21T20:26:40.1714282Z             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
2025-03-21T20:26:40.1714373Z             
2025-03-21T20:26:40.1715140Z              # 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
2025-03-21T20:26:40.1715942Z             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
2025-03-21T20:26:40.1716035Z             
2025-03-21T20:26:40.1716837Z              # 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
2025-03-21T20:26:40.1717642Z             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
2025-03-21T20:26:40.1717741Z             
2025-03-21T20:26:40.1718514Z              # 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
2025-03-21T20:26:40.1719323Z             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
2025-03-21T20:26:40.1719478Z             
2025-03-21T20:26:40.1720268Z              # 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
2025-03-21T20:26:40.1721072Z             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
2025-03-21T20:26:40.1721169Z             
2025-03-21T20:26:40.1721945Z              # 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
2025-03-21T20:26:40.1722824Z             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
2025-03-21T20:26:40.1724889Z             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)
2025-03-21T20:26:40.1725092Z             
2025-03-21T20:26:40.1839897Z 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)])
2025-03-21T20:26:45.1973788Z Range constraints: {}
2025-03-21T20:26:45.1974506Z 
2025-03-21T20:26:45.1974856Z [INFO 2025-03-21 20:26:44,629 export_llama_lib.py:813] Lowering model using following partitioner(s): 
2025-03-21T20:26:45.1975502Z [INFO 2025-03-21 20:26:44,629 export_llama_lib.py:815] --> QnnPartitioner
2025-03-21T20:26:45.1975999Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
2025-03-21T20:26:45.1976491Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Initializing HtpProvider
2025-03-21T20:26:45.1976795Z 
2025-03-21T20:26:45.1977105Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2
2025-03-21T20:26:45.1977684Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE.
2025-03-21T20:26:45.1978197Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Performance Estimates unsupported
2025-03-21T20:26:45.1978547Z 
2025-03-21T20:26:45.1979053Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75
2025-03-21T20:26:45.1979676Z 
2025-03-21T20:26:45.1979839Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization.
2025-03-21T20:26:45.1980304Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.1980804Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1981304Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.1981812Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1982306Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.1982781Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.1983245Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.1983694Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.1984133Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.1984722Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1985314Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.1985823Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1986330Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.1986804Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.1987265Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.1987742Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1988294Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.1988845Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1989355Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.1989832Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.1990274Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:45.1990749Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.1991242Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1991740Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.1992241Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1992811Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.1993299Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.1993748Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.1994200Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.1994689Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1995241Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.1995741Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1996300Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.1996860Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.1997354Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.1997840Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.1998298Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:45.1998749Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.1999176Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.1999619Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.2000100Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2000572Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:45.2001024Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.2001488Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.2001940Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2002523Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2003069Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2003544Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2004013Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2004498Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2004988Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2005451Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2005929Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2006396Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2006854Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2007379Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2007894Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2008356Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2008823Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2009304Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2009762Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2010288Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2010767Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2011228Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2011746Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2012277Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2012737Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2013214Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2013699Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2014146Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2014625Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2015168Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2015632Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2016114Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2016583Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2017046Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2017528Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2018022Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2018488Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2018973Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2019499Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.2019968Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.2020411Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2020925Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2021450Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2021942Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2022410Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2022882Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2023370Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2023839Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2024506Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2025004Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2025473Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2025943Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2026430Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2026891Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2027368Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2027846Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2028293Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2028770Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2029252Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2029789Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2030506Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2031064Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2031512Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2031992Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2032476Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2032937Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2033423Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2033892Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2034357Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2034839Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2035321Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2035785Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2036257Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2036741Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2037203Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.2037729Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2038222Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.2038700Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.2039367Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.2039925Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.2040389Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.2040873Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3237740Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3238382Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3239051Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.3239544Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3240071Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3240558Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.3241018Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3241440Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3241862Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.3242286Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3242770Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3243197Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.3243631Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3244057Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3244541Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.3245023Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3245449Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3245904Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3246386Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3246863Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3247337Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3247804Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.3248279Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.3248753Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3249332Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3249903Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3250371Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.3250849Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.3251327Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3251805Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3252392Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3252863Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3253343Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3253837Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3254346Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.3254856Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3255366Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3255861Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3256356Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3256859Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.3257419Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3257932Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3258419Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3258908Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3259417Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.3259925Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3260441Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3260940Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.3261383Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.3261972Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3262468Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3262978Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.3263486Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3263991Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3264473Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3264934Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3265430Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3265938Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.3266446Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3266947Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3267432Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3267880Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:45.3268357Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3268849Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3269346Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.3269940Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3270448Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3270942Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.3271387Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.3271884Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.3272365Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3272901Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.3273408Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3273918Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.3274422Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3274897Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3275383Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.3275849Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:45.3276299Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.3276726Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.3277252Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.3277737Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3278216Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:45.3278677Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3279136Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.3279586Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3280071Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3280556Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3281038Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3281499Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3281985Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3282514Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3282989Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3283474Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3283971Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3284487Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3284965Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3285431Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3285894Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3286381Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3286966Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3287427Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3287894Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3288372Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3288836Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3289313Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3289801Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3290262Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3290728Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3291210Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3291671Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3292147Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3292625Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3293071Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3293546Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3294029Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3294635Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3295152Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3295629Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3296091Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3296594Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3297091Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.3297555Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.3298007Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3298460Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3298942Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3299427Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3299889Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3300368Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3300843Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3301308Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3301787Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3302424Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3302889Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3303375Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.3303848Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.3304316Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4555613Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4556299Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4556796Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4557294Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4557927Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4558398Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4558886Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4559377Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4559839Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4560308Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4560788Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4561246Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4561722Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4562206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4562788Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4563380Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4563868Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4564328Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4564813Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4565296Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4565742Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4566223Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4566711Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.4567185Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.4567669Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4568241Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4568750Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.4569240Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4569761Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4570262Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4570727Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.4571235Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4571746Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4572356Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.4572878Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4573307Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4573737Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.4574162Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4574577Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4575000Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.4575422Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4575844Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4576334Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.4576750Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4577179Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4577636Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4578123Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4578613Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4579083Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4579567Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.4580164Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.4580774Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4581253Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4581735Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4582205Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.4582685Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.4583159Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4583636Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4584109Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4584570Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4585053Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4585540Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4586050Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.4586551Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4587061Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4587654Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4588230Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4588730Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.4589233Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4589743Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4590230Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4590775Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4591281Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.4591822Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4592336Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4592835Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.4593277Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.4593732Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4594234Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4594745Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.4595249Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4595750Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4596228Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4596686Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4597289Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4597880Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.4598372Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4598885Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4599406Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4599860Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:45.4600336Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4600834Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4601329Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.4601837Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4602358Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4602933Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.4603922Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.4604367Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.4604907Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4605578Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.4606090Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4606604Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.4607105Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4607583Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4608064Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.4608534Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:45.4608988Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.4609420Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.4609853Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.4610337Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4610808Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:45.4611270Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.4611727Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.4612175Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4612724Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4613277Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4613758Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4614283Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4614767Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4615291Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4615754Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4616236Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4616719Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4617180Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4617650Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4618136Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4618598Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4619082Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4619566Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4620032Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4620503Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4620987Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4621445Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4621926Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.4622612Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4623090Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.4623577Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5891645Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5892515Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5893125Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5893638Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5894089Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5894583Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5895206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5895670Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5896158Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5896642Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5897091Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5897570Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5898060Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5898553Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.5899005Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5899470Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5899955Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5900430Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5900894Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5901372Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5901854Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5902313Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5902780Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5903262Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5903722Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5904278Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5904797Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5905392Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5905915Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5906406Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5906889Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5907376Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5907853Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5908320Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5908804Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5909292Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5909820Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5910341Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5910849Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5911321Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5911814Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5912301Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5912769Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5913298Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5913785Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5914247Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5914736Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5915223Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5915685Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.5916154Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5916646Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.5917123Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.5917643Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5918129Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5918578Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.5919061Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5919584Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5920084Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5920542Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.5921009Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5921531Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5922009Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.5922506Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5922946Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5923376Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.5923787Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5924212Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5924823Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.5925249Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5925675Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5926085Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.5926511Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5926936Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5927458Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5927945Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5928451Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5928935Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5929413Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.5929892Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.5930374Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5930856Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5931326Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5931809Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.5932284Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.5932757Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5933236Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5933699Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5934179Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5934652Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5935141Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5935699Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.5936206Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5936707Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5937209Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5937704Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5938206Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.5938712Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5939227Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5939825Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5940410Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5940971Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.5941479Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5941990Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5942476Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.5942927Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.5943382Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5943871Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5944374Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.5944868Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5945387Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5945869Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5946324Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5946822Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5947314Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.5947885Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5948479Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5948957Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5949405Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:45.5949880Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5950422Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5950931Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.5951471Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5951991Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5952492Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.5952935Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.5953394Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.5953891Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5954398Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.5954908Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5955424Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.5955988Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.5956564Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.5957054Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.5957530Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:45.5957989Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.5958406Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.5958893Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.7238476Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7239329Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:45.7239808Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7240276Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.7240723Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7241206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7241688Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7242348Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7242876Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7243431Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7243907Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7244374Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7244854Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7245335Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7245798Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7246269Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7246752Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7247219Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7247706Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7248287Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7248807Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7249288Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7260073Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7260672Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7261169Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7261662Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7262125Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7262592Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7263171Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7263626Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7264191Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7264664Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7265119Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7265621Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7266092Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7266680Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7267232Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7267730Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7268183Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7268657Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7269134Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7269599Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.7270056Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7270521Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7271005Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7271557Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7272010Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7272493Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7272977Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7273442Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7273928Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7274401Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7274864Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7275351Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7275868Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7276335Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7276808Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7277293Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7277759Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7278241Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7278722Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7279186Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7279656Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7280143Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7280607Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7281092Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7281577Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7282029Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7282602Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7283089Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7283555Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7284042Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7284527Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7284977Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7285462Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7285984Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7286476Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.7286965Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7287448Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.7287933Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.7288428Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7288926Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7289389Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.7289869Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.7290446Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.7291037Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7291589Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.7292071Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.7292599Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.7293065Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.7293500Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7293978Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7294410Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.7294836Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7295252Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7295681Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.7296104Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7296536Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7296966Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.7297393Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7297839Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.7298295Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7298776Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7299259Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7299738Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7300200Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.7300694Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.7301273Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7301848Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7302328Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7302798Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.7303275Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.7303755Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7304234Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7304714Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7305196Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.7305660Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7306154Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7306664Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.7307171Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7307691Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.7308233Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7308727Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7309378Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.7309964Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7310485Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.7310998Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7311482Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7311991Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.7312490Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7313005Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.7313500Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.7313938Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.7314388Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.7314881Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.7315385Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.7315888Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8599752Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8600525Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8600991Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.8601485Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8601977Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.8602541Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8603056Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8603540Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8603996Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:45.8604526Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.8605017Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8605520Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.8606028Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8606540Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8607040Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:45.8607500Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.8608036Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.8608534Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8609047Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:45.8609550Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8610056Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8610559Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8611052Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8611538Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.8612038Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:45.8612489Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.8612914Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8613342Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:45.8613829Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8614318Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:45.8614934Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8615400Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.8615912Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8616368Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8616854Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8617343Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8617809Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8618294Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8618764Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8619236Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8619718Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8620203Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8620676Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8621161Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8621637Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8622118Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8622654Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8623188Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8623653Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8624124Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8624791Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8625249Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8625731Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8626217Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8626676Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8627202Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8627680Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8628140Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8628620Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8629098Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8629544Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8630118Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8630599Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8631057Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8631535Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8632006Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8632470Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8632950Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8633437Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8633892Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.8634343Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8634791Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8635271Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8635749Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8636211Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8636691Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8637308Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8637777Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8638313Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8638798Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8639256Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8639737Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8640206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8640666Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8641151Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8641631Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8642089Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8642630Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8643122Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8643586Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8644069Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8644555Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8645013Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8645631Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8646120Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8646581Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8647066Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8647544Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8647991Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8648470Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8648950Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8649411Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8649921Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8650389Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8650854Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:45.8651334Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8651823Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.8652366Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:45.8652919Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:45.8653396Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8653920Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.8654464Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8654988Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8655552Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8656152Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:45.8656655Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8657204Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:45.8657743Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.8658202Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8658646Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8659111Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.8659538Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8660027Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8660560Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:45.8661061Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8661542Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8661989Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:45.8662454Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8662965Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:45.8663422Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8663892Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8664377Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.8664861Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.8665340Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.8665819Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:45.8666303Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:45.8666768Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:45.8667235Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0042208Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.0043163Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.0043909Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.0044391Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.0044854Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.0045328Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.0045804Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0046298Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0046812Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.0047307Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0047883Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.0048390Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0048882Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0049389Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.0049949Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0050464Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.0050964Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0051453Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0051977Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.0052552Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0053052Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.0053561Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.0054041Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.0054497Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0054990Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0055494Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.0056067Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0056567Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.0057051Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.0057507Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0057998Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0058581Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.0059131Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0059638Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.0060118Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.0060695Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:46.0061361Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0061854Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0062343Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.0062844Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0063358Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.0063857Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.0064312Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.0064755Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.0065253Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0065759Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.0066260Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0066819Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.0067324Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.0067802Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0068283Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.0068748Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:46.0069294Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.0069722Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.0070156Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.0070639Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0071184Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:46.0071646Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.0072112Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.0072576Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0073029Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0073517Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0074005Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0074469Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0074951Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0075426Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0075888Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0076452Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0076986Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0077450Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0077917Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0078414Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0078878Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0079363Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0079851Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0080316Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0080787Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0081317Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0081783Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0082314Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0082883Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0083335Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0083823Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0084312Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0084777Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0085265Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0085754Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0086206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0086690Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0087264Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0087735Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0088222Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0088688Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0089148Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0089661Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0090152Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.0090612Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.0091061Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0091508Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0091991Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0092473Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0092938Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0093449Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0093921Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0094387Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0094870Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0095393Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0095940Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0096423Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0096893Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0097374Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0097855Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0098340Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0098805Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0099276Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0099761Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0100225Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0100710Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0101194Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0101646Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0102128Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0102611Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0103075Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0103600Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0104163Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0104646Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0105129Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0105608Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0106069Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0106549Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0107018Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0107480Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.0107960Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.0108446Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.0108923Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.0109413Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1495152Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1496054Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.1496562Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1497094Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1497750Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1498219Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.1498701Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1499221Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1499702Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.1500117Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1500551Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1500978Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.1501411Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1501889Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1502301Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.1502795Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1503356Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1503784Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.1504309Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1504719Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1505174Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1505658Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1506135Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1506617Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1507098Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.1507567Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.1508047Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1508529Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1509010Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1509490Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.1509960Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.1510442Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1510924Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1511493Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1512171Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1512654Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1513197Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1513709Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.1514216Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1514733Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1515245Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1515724Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1516229Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.1516731Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1517245Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1517747Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1518238Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1518732Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.1519232Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1519770Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1520297Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.1520753Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.1521208Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1521730Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1522369Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.1522944Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1523455Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1523938Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1524602Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1525413Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1525927Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.1526434Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1526950Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1527429Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1527879Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:46.1528342Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1528833Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1529335Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.1529841Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1530356Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1530964Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.1531555Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.1532011Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.1532503Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1533008Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.1533497Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1534011Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.1534512Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1535003Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1535567Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.1536039Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:46.1536519Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.1536952Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.1537392Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.1537870Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1538346Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:46.1538797Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1539265Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.1539789Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1540343Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1540826Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1541313Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1541760Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1542245Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1542726Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1543184Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1543713Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1544183Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1544643Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1545127Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1545606Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1546066Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1546548Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1547024Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1547488Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1548001Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1548481Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1548941Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1549409Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1549936Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1550553Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1551036Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1551515Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1551964Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1552461Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1552941Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1553406Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1553895Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1554380Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1554832Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1555315Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1555800Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1556263Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1556748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1557229Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.1557697Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.1558187Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1558729Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1559395Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1559884Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1560359Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1560844Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1561331Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1561796Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1562281Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.1562835Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.1563299Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2945904Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2946761Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2947236Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2947757Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2948242Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2948705Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2949315Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2949805Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2950271Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2950753Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2951236Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2951691Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2952183Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2952664Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2953239Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2953821Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2954302Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2954751Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2955233Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2955713Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2956174Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2956657Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2957128Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2957591Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.2958082Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2958572Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.2959055Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.2959545Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2960023Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2960484Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.2960967Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2961488Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2961985Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2962494Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.2962978Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2963579Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2964227Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.2964768Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2965189Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2965618Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.2966047Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2966479Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2966902Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.2967327Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2967738Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2968160Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.2968583Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2969007Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2969456Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2969923Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2970403Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2970880Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2971357Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.2971867Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.2972333Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2972928Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2973409Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2973958Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.2974491Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.2974970Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2975499Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2976078Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2976557Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2977102Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2977658Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2978161Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.2978719Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2979294Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2979858Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2980351Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2980923Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.2981499Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2982024Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2982531Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2983026Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2983535Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.2984027Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2984542Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2985045Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.2985506Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.2985965Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2986459Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2986990Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.2987524Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2988043Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2988517Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2988971Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2989454Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2989957Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.2990457Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2990964Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2991442Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.2991928Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:46.2992593Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2993153Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2993716Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.2994230Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2994791Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2995382Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.2995886Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.2996343Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.2996892Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2997446Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.2997939Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.2998515Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.2999067Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.2999560Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3000126Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.3000658Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:46.3001218Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.3001677Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.3002121Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.3002671Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3003192Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:46.3003645Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.3004119Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.3004577Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3005039Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3005526Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3006007Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3006454Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3006938Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3007417Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3007877Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3008356Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3008822Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3009283Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3009907Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3010467Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3010963Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3011448Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3011917Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3012378Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3012862Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.3013344Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3013806Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.3014275Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4445874Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4446813Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4447632Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4448124Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4448588Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4449076Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4449583Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4450195Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4450672Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4451165Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4451640Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4452129Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4452620Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4453070Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4453559Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4454058Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4454573Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.4455033Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4455488Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4455979Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4456465Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4456932Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4457420Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4457903Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4458355Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4458857Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4459532Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4460000Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4460484Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4460955Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4461416Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4461898Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4462379Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4462839Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4463318Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4463786Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4464248Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4464817Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4465300Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4465814Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4466288Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4466772Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4467240Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4467721Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4468202Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4468665Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4469133Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4469664Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4470219Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4470759Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4471245Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4471695Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.4472177Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4472668Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.4473187Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.4473678Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4474157Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4474615Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.4475099Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4475619Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4476123Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4476583Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.4477081Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4477600Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4478073Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.4478501Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4478926Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4479337Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.4479759Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4480181Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4480705Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.4481136Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4481690Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4482104Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.4482602Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4483028Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4483480Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4483961Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4484427Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4484906Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4485383Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.4485858Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.4486336Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4486800Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4487333Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4487840Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.4488327Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.4488808Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4489285Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4489751Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4490227Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4490703Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4491196Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4491703Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.4492193Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4492710Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4493215Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4493710Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4494214Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.4494742Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4495369Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4495881Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4496378Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4496883Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.4497392Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4497894Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4498400Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.4498856Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.4499316Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4499841Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4500352Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.4500846Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4501357Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4501838Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4502352Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4502917Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4503408Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.4503911Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4513135Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4513653Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.4514105Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:46.4514587Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4515086Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4515597Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.4516103Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4516604Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4517105Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.4517560Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.4518017Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.4518588Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4519099Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.4519629Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4520146Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.4520654Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.4521147Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.4521633Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.4522092Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:46.5929751Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.5930408Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5930871Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.5931364Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5931854Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:46.5932332Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5932806Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.5933261Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5933729Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5934397Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5934876Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5935342Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5935831Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5936318Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5936786Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5937261Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5937746Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5938211Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5938748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5939237Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5939703Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5940177Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5940663Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5941126Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5941607Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5942091Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5942543Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5943027Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5943515Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5943984Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5944470Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5944943Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5945411Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5945894Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5946377Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5946846Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5947330Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5947803Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5948266Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5948878Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5949424Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5949894Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5950366Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5950861Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5951334Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.5951789Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5952252Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5952737Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5953207Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5953673Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5954162Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5954648Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5955118Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5955591Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5956076Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5956574Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5957062Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5957548Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5958011Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5958484Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5958970Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5959466Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5959956Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5960442Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5960922Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5961401Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5961883Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5962346Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5962930Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5963525Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5963987Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5964459Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5964943Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5965411Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5965893Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5966380Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5966837Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5967322Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5967810Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5968279Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.5968812Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5969306Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.5969773Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.5970263Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5970754Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5971260Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.5971790Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.5972305Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.5972804Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5973262Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.5973740Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.5974263Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.5974726Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.5975155Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5975580Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5976002Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.5976428Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5976842Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5977268Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.5977698Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5978120Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5978543Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.5978997Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5979417Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.5979904Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5980385Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5980864Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5981342Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5981811Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.5982294Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.5982773Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5983278Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5983756Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5984221Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.5984700Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.5985183Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5985663Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5986139Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5986617Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.5987077Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5987566Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5988072Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.5988577Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5989088Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.5989579Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5990067Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5990569Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.5991071Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5991669Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.5992216Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5992694Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5993235Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.5993738Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.5994287Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.5994788Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.5995239Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.5995702Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.5996178Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7429660Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.7430617Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7431266Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7431755Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7432219Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.7432721Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7433236Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.7433750Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7434267Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7434751Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7435337Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:46.7435822Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.7436318Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7436823Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.7437331Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7437849Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7438356Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.7438922Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.7439462Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.7439952Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7440453Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.7440942Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7441455Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7441953Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.7442542Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7443027Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.7443492Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:46.7443946Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.7444365Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7444814Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.7445296Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7445770Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:46.7446230Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.7446689Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.7447127Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7447591Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7448135Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7448792Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7449253Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7449819Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7450308Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7450823Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7451310Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7451792Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7452239Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7452725Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7453206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7453664Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7454144Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7454624Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7455068Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7455548Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7456024Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7456490Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7456969Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7457587Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7458160Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7458641Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7459122Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7459581Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7460060Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7460525Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7460989Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7461467Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7461949Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7462439Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7462904Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7463387Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7463844Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7464327Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7464816Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.7465297Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.7465835Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7466362Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7466847Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7467334Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7467801Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7468273Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7468753Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7469216Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7469700Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7470181Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7470629Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7471106Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7471586Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7472052Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7472591Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7473104Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7473558Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7474176Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7474712Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7475186Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7475669Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7476140Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7476606Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7477091Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7477582Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7478049Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7478531Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7479011Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7479478Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7479960Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7480884Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7481349Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7481834Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7482491Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7483022Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.7483552Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7484042Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.7484524Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:46.7485003Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.7485542Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.7486001Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.7486482Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7487009Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7487501Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.7487963Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.7488441Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7488963Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.7489441Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.7489863Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7490339Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7490854Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.7491344Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7491768Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7492191Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.7492603Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7493027Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7493450Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:46.7493873Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7494296Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.7494738Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.7495219Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.7495749Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.7496262Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.7496746Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.7497210Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.7497686Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.8990318Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.8990951Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.8991441Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.8991917Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:46.8992385Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.8992861Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.8993346Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.8993821Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.8994310Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.8994795Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.8995305Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.8995968Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.8996489Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.8996994Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.8997490Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.8997979Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.8998483Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.8998998Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.8999500Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.9000052Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9000543Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.9001048Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9001563Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.9002226Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.9002854Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.9003326Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.9003823Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9004332Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.9004823Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9005350Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.9005836Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.9006305Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.9006803Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9007297Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.9007810Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9008323Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.9008807Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.9009257Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:46.9009738Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.9010221Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9011045Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.9011556Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9012135Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.9012640Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:46.9013079Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.9013542Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:46.9014034Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9014535Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:46.9015038Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9015547Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:46.9016035Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.9016529Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9017007Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.9017478Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:46.9017933Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:46.9018347Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:46.9018798Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:46.9019332Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9019813Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:46.9020274Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.9020724Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.9021176Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9021639Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9022261Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9022832Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9023340Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9023812Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9024513Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9024983Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9025468Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9025957Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9026418Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9026898Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9027368Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9027828Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9028313Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9028796Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9029257Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9029726Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9030206Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9030666Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9031144Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9031806Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9032327Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9032795Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9033273Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9033823Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9034305Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9034830Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9035284Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9035766Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9036251Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9036713Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9037193Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9037673Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9038121Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9038600Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9039090Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:46.9039551Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:46.9040000Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9040456Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9041167Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9041703Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9042227Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9042780Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9043251Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9043716Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9044203Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9044688Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9045153Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9045635Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9046106Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9046613Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9047095Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9047575Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9048043Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9048516Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9049101Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9049693Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9050307Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9050795Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9051270Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9051742Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9052236Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9052698Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9053187Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9053676Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9054130Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9054618Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9055107Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9055569Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9056052Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9056539Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9057041Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:46.9057558Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:46.9058053Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:47.0569994Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:47.0570929Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0571443Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0571895Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:47.0572379Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0572900Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0573400Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0573864Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:47.0574338Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0574862Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0575352Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:47.0575785Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0576218Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0576795Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:47.0577211Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0577636Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0578060Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:47.0578549Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0579023Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0579565Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:47.0580019Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0580441Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0580897Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0581465Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0581931Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0582415Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0582898Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.0583378Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.0583855Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0584333Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0584793Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0585266Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.0585743Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.0586222Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0586702Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0587166Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0587643Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0588122Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0588608Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0589113Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.0589617Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0590186Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0590748Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0591437Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0591942Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.0592505Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0593007Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0593509Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0594006Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0594508Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.0595010Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0595520Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0596006Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:47.0596483Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:47.0596936Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0597428Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0597938Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.0598444Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0598959Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0599430Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0599983Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0600617Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0601177Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.0601681Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0602180Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0602725Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0603183Z [QNN Partitioner Op Support]: aten.sigmoid.default | True
2025-03-21T20:26:47.0603660Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0604197Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0604721Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.0605219Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0605739Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0606239Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:47.0606696Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:47.0607154Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.0607632Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0608143Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.0608650Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0609167Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.0609748Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0610312Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0610899Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:47.0611375Z [QNN Partitioner Op Support]: aten._softmax.default | True
2025-03-21T20:26:47.0611830Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:47.0612262Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.0612709Z [QNN Partitioner Op Support]: aten.matmul.default | True
2025-03-21T20:26:47.0613173Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0613738Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:47.0614202Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0614719Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:47.0615176Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0615681Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0616165Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0616651Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0617115Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0617595Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0618074Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0618524Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0619003Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0619484Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0619948Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0620434Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0620909Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0621435Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0621987Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0622591Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0623101Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0623585Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0624051Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0624691Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0625175Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0625654Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0626127Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0626600Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0627155Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0627623Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0628109Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0628597Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0629045Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0629525Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0630005Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0630465Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0630949Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0631492Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0632038Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0632633Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0633126Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.0633586Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:47.0634035Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0634491Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0634975Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0635455Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0635916Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0636395Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.0636878Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0637400Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.0637881Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6298173Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6299225Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6300051Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6300880Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6301643Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6302454Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6303266Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6304045Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6304893Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6305708Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6306491Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6307296Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6308116Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6308893Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6309701Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6310612Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6311381Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6312191Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6313011Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6313793Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6314611Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6315408Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6316182Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6316995Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6317875Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6318654Z [QNN Partitioner Op Support]: aten.select_copy.int | True
2025-03-21T20:26:47.6319469Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6320289Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:47.6321104Z [QNN Partitioner Op Support]: aten.index_put.default | True
2025-03-21T20:26:47.6321937Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6322860Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6323639Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:47.6324610Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.6325507Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.6326368Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6327145Z [QNN Partitioner Op Support]: aten.cat.default | True
2025-03-21T20:26:47.6327957Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.6328849Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.6329642Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:47.6330357Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6331076Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6331786Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:47.6332495Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6333186Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6333895Z [QNN Partitioner Op Support]: aten.add.Tensor | True
2025-03-21T20:26:47.6334695Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6335403Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6336172Z [QNN Partitioner Op Support]: aten.sub.Tensor | True
2025-03-21T20:26:47.6336871Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6337581Z [QNN Partitioner Op Support]: aten.mul.Tensor | True
2025-03-21T20:26:47.6338342Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6339145Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6339949Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.6340756Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.6341548Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.6342349Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.6343150Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6343964Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.6344773Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.6345568Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.6346376Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True
2025-03-21T20:26:47.6347176Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6348057Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6348859Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6349668Z [QNN Partitioner Op Support]: aten.view_copy.default | True
2025-03-21T20:26:47.6350463Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.6351296Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6352156Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.6353014Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6353887Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.6354784Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.6355615Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6356465Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.6357319Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6358190Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.6359028Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True
2025-03-21T20:26:47.6359855Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6360709Z [QNN Partitioner Op Support]: aten.convolution.default | True
2025-03-21T20:26:47.6361568Z [QNN Partitioner Op Support]: aten.permute_copy.default | True
2025-03-21T20:26:47.6362539Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True
2025-03-21T20:26:47.6363389Z [QNN Partitioner Op Support]: aten.rms_norm.default | True
2025-03-21T20:26:47.6364144Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:47.6364891Z [QNN Partitioner Op Support]: aten.index.Tensor | True
2025-03-21T20:26:47.6365677Z [QNN Partitioner Op Support]: aten.embedding.default | True
2025-03-21T20:26:47.6366488Z [QNN Partitioner Op Support]: aten._to_copy.default | True
2025-03-21T20:26:47.6367273Z [QNN Partitioner Op Support]: aten._to_copy.default | True
2025-03-21T20:26:47.6368276Z [INFO 2025-03-21 20:26:47,189 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6369511Z [INFO 2025-03-21 20:26:47,189 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6370741Z [INFO 2025-03-21 20:26:47,190 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6372018Z [INFO 2025-03-21 20:26:47,190 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6373283Z [INFO 2025-03-21 20:26:47,190 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6374505Z [INFO 2025-03-21 20:26:47,190 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6375734Z [INFO 2025-03-21 20:26:47,190 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6376949Z [INFO 2025-03-21 20:26:47,190 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6378171Z [INFO 2025-03-21 20:26:47,191 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6379394Z [INFO 2025-03-21 20:26:47,191 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6380623Z [INFO 2025-03-21 20:26:47,191 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6381855Z [INFO 2025-03-21 20:26:47,191 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6383081Z [INFO 2025-03-21 20:26:47,191 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6384309Z [INFO 2025-03-21 20:26:47,191 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6385557Z [INFO 2025-03-21 20:26:47,192 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6386788Z [INFO 2025-03-21 20:26:47,192 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6388017Z [INFO 2025-03-21 20:26:47,192 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6389240Z [INFO 2025-03-21 20:26:47,192 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6390470Z [INFO 2025-03-21 20:26:47,192 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6391717Z [INFO 2025-03-21 20:26:47,192 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6392969Z [INFO 2025-03-21 20:26:47,193 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6394207Z [INFO 2025-03-21 20:26:47,193 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6395438Z [INFO 2025-03-21 20:26:47,193 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6396671Z [INFO 2025-03-21 20:26:47,193 utils.py:363] The buffer node is a mutated buffer node, which is not constant.
2025-03-21T20:26:47.6397661Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
2025-03-21T20:26:47.6398329Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context
2025-03-21T20:26:47.6398918Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device
2025-03-21T20:26:47.6399519Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend
2025-03-21T20:26:47.6400203Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
2025-03-21T20:26:47.6401197Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2
2025-03-21T20:26:47.6402199Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE.
2025-03-21T20:26:48.4420201Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Performance Estimates unsupported
2025-03-21T20:26:48.4420853Z 
2025-03-21T20:26:48.4421656Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75
2025-03-21T20:26:48.4422635Z 
2025-03-21T20:26:48.4422911Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization.
2025-03-21T20:26:48.4423906Z [INFO 2025-03-21 20:26:48,331 qnn_preprocess.py:69] Visiting: aten__to_copy_default, aten._to_copy.default
2025-03-21T20:26:48.4425340Z [INFO 2025-03-21 20:26:48,332 qnn_preprocess.py:69] Visiting: aten__to_copy_default_1, aten._to_copy.default
2025-03-21T20:26:48.4426953Z [INFO 2025-03-21 20:26:48,333 qnn_preprocess.py:69] Visiting: aten_embedding_default, aten.embedding.default
2025-03-21T20:26:48.4428208Z [INFO 2025-03-21 20:26:48,402 qnn_preprocess.py:69] Visiting: aten_index_tensor, aten.index.Tensor
2025-03-21T20:26:48.4429390Z [INFO 2025-03-21 20:26:48,403 qnn_preprocess.py:69] Visiting: aten_index_tensor_1, aten.index.Tensor
2025-03-21T20:26:48.4430584Z [INFO 2025-03-21 20:26:48,404 qnn_preprocess.py:69] Visiting: aten_index_tensor_2, aten.index.Tensor
2025-03-21T20:26:48.4431776Z [INFO 2025-03-21 20:26:48,405 qnn_preprocess.py:69] Visiting: aten_index_tensor_3, aten.index.Tensor
2025-03-21T20:26:48.4432966Z [INFO 2025-03-21 20:26:48,406 qnn_preprocess.py:69] Visiting: aten_index_tensor_4, aten.index.Tensor
2025-03-21T20:26:48.4434142Z [INFO 2025-03-21 20:26:48,407 qnn_preprocess.py:69] Visiting: aten_index_tensor_5, aten.index.Tensor
2025-03-21T20:26:48.4435359Z [INFO 2025-03-21 20:26:48,408 qnn_preprocess.py:69] Visiting: aten_index_tensor_6, aten.index.Tensor
2025-03-21T20:26:48.4436564Z [INFO 2025-03-21 20:26:48,408 qnn_preprocess.py:69] Visiting: aten_index_tensor_7, aten.index.Tensor
2025-03-21T20:26:48.4437758Z [INFO 2025-03-21 20:26:48,409 qnn_preprocess.py:69] Visiting: aten_index_tensor_8, aten.index.Tensor
2025-03-21T20:26:48.4438945Z [INFO 2025-03-21 20:26:48,410 qnn_preprocess.py:69] Visiting: aten_index_tensor_9, aten.index.Tensor
2025-03-21T20:26:48.4440213Z [INFO 2025-03-21 20:26:48,411 qnn_preprocess.py:69] Visiting: aten_index_tensor_10, aten.index.Tensor
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2025-03-21T20:26:49.6737017Z [INFO 2025-03-21 20:26:49,653 qnn_preprocess.py:69] Visiting: aten_select_copy_int_537, aten.select_copy.int
2025-03-21T20:26:49.6738288Z [INFO 2025-03-21 20:26:49,653 qnn_preprocess.py:69] Visiting: aten_select_copy_int_539, aten.select_copy.int
2025-03-21T20:26:49.6739563Z [INFO 2025-03-21 20:26:49,654 qnn_preprocess.py:69] Visiting: aten_select_copy_int_541, aten.select_copy.int
2025-03-21T20:26:49.6740835Z [INFO 2025-03-21 20:26:49,654 qnn_preprocess.py:69] Visiting: aten_select_copy_int_543, aten.select_copy.int
2025-03-21T20:26:49.6742111Z [INFO 2025-03-21 20:26:49,654 qnn_preprocess.py:69] Visiting: aten_select_copy_int_545, aten.select_copy.int
2025-03-21T20:26:49.6743387Z [INFO 2025-03-21 20:26:49,655 qnn_preprocess.py:69] Visiting: aten_select_copy_int_547, aten.select_copy.int
2025-03-21T20:26:49.6744669Z [INFO 2025-03-21 20:26:49,655 qnn_preprocess.py:69] Visiting: aten_select_copy_int_549, aten.select_copy.int
2025-03-21T20:26:49.6745945Z [INFO 2025-03-21 20:26:49,655 qnn_preprocess.py:69] Visiting: aten_select_copy_int_551, aten.select_copy.int
2025-03-21T20:26:49.6747149Z [INFO 2025-03-21 20:26:49,656 qnn_preprocess.py:69] Visiting: aten_cat_default_46, aten.cat.default
2025-03-21T20:26:49.6748400Z [INFO 2025-03-21 20:26:49,657 qnn_preprocess.py:69] Visiting: aten_view_copy_default_207, aten.view_copy.default
2025-03-21T20:26:49.6749761Z [INFO 2025-03-21 20:26:49,657 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_482, aten.permute_copy.default
2025-03-21T20:26:49.6751084Z [INFO 2025-03-21 20:26:49,658 qnn_preprocess.py:69] Visiting: aten_matmul_default_22, aten.matmul.default
2025-03-21T20:26:49.6752287Z [INFO 2025-03-21 20:26:49,658 qnn_preprocess.py:69] Visiting: aten_mul_tensor_175, aten.mul.Tensor
2025-03-21T20:26:49.6753497Z [INFO 2025-03-21 20:26:49,659 qnn_preprocess.py:69] Visiting: aten_add_tensor_57, aten.add.Tensor
2025-03-21T20:26:49.6754756Z [INFO 2025-03-21 20:26:49,660 qnn_preprocess.py:69] Visiting: aten__softmax_default_11, aten._softmax.default
2025-03-21T20:26:49.6756029Z [INFO 2025-03-21 20:26:49,660 qnn_preprocess.py:69] Visiting: aten_matmul_default_23, aten.matmul.default
2025-03-21T20:26:49.6757349Z [INFO 2025-03-21 20:26:49,660 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_483, aten.permute_copy.default
2025-03-21T20:26:49.6758719Z [INFO 2025-03-21 20:26:49,661 qnn_preprocess.py:69] Visiting: aten_view_copy_default_215, aten.view_copy.default
2025-03-21T20:26:49.6760116Z [INFO 2025-03-21 20:26:49,661 qnn_preprocess.py:69] Visiting: aten_unsqueeze_copy_default_128, aten.unsqueeze_copy.default
2025-03-21T20:26:49.6761563Z [INFO 2025-03-21 20:26:49,662 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_824, aten.permute_copy.default
2025-03-21T20:26:49.6763047Z [INFO 2025-03-21 20:26:49,662 qnn_preprocess.py:69] Visiting: aten_convolution_default_80, aten.convolution.default
2025-03-21T20:26:49.6764440Z [INFO 2025-03-21 20:26:49,665 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_825, aten.permute_copy.default
2025-03-21T20:26:49.6765845Z [INFO 2025-03-21 20:26:49,666 qnn_preprocess.py:69] Visiting: aten_squeeze_copy_dims_128, aten.squeeze_copy.dims
2025-03-21T20:27:06.8178455Z [INFO 2025-03-21 20:26:49,666 qnn_preprocess.py:69] Visiting: aten_add_tensor_58, aten.add.Tensor
2025-03-21T20:27:06.8180359Z [INFO 2025-03-21 20:26:49,667 qnn_preprocess.py:69] Visiting: aten_rms_norm_default_23, aten.rms_norm.default
2025-03-21T20:27:06.8181687Z [INFO 2025-03-21 20:26:49,667 qnn_preprocess.py:69] Visiting: aten_unsqueeze_copy_default_129, aten.unsqueeze_copy.default
2025-03-21T20:27:06.8182954Z [INFO 2025-03-21 20:26:49,668 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_826, aten.permute_copy.default
2025-03-21T20:27:06.8184324Z [INFO 2025-03-21 20:26:49,668 qnn_preprocess.py:69] Visiting: aten_unsqueeze_copy_default_130, aten.unsqueeze_copy.default
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2025-03-21T20:27:06.8187323Z [INFO 2025-03-21 20:26:49,669 qnn_preprocess.py:69] Visiting: aten_convolution_default_81, aten.convolution.default
2025-03-21T20:27:06.8188663Z [INFO 2025-03-21 20:26:49,678 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_828, aten.permute_copy.default
2025-03-21T20:27:06.8190077Z [INFO 2025-03-21 20:26:49,679 qnn_preprocess.py:69] Visiting: aten_convolution_default_82, aten.convolution.default
2025-03-21T20:27:06.8191520Z [INFO 2025-03-21 20:26:49,684 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_829, aten.permute_copy.default
2025-03-21T20:27:06.8192907Z [INFO 2025-03-21 20:26:49,685 qnn_preprocess.py:69] Visiting: aten_squeeze_copy_dims_129, aten.squeeze_copy.dims
2025-03-21T20:27:06.8194296Z [INFO 2025-03-21 20:26:49,685 qnn_preprocess.py:69] Visiting: aten_squeeze_copy_dims_130, aten.squeeze_copy.dims
2025-03-21T20:27:06.8195618Z [INFO 2025-03-21 20:26:49,686 qnn_preprocess.py:69] Visiting: aten_sigmoid_default_11, aten.sigmoid.default
2025-03-21T20:27:06.8196780Z [INFO 2025-03-21 20:26:49,686 qnn_preprocess.py:69] Visiting: aten_mul_tensor_178, aten.mul.Tensor
2025-03-21T20:27:06.8197881Z [INFO 2025-03-21 20:26:49,686 qnn_preprocess.py:69] Visiting: aten_mul_tensor_179, aten.mul.Tensor
2025-03-21T20:27:06.8199160Z [INFO 2025-03-21 20:26:49,687 qnn_preprocess.py:69] Visiting: aten_unsqueeze_copy_default_131, aten.unsqueeze_copy.default
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2025-03-21T20:27:06.8203299Z [INFO 2025-03-21 20:26:49,695 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_831, aten.permute_copy.default
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2025-03-21T20:27:06.8206106Z [INFO 2025-03-21 20:26:49,697 qnn_preprocess.py:69] Visiting: aten_add_tensor_59, aten.add.Tensor
2025-03-21T20:27:06.8207322Z [INFO 2025-03-21 20:26:49,697 qnn_preprocess.py:69] Visiting: aten_select_copy_int_576, aten.select_copy.int
2025-03-21T20:27:06.8208611Z [INFO 2025-03-21 20:26:49,697 qnn_preprocess.py:69] Visiting: aten_rms_norm_default_24, aten.rms_norm.default
2025-03-21T20:27:06.8209905Z [INFO 2025-03-21 20:26:49,698 qnn_preprocess.py:69] Visiting: aten_view_copy_default_216, aten.view_copy.default
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2025-03-21T20:27:06.8212688Z [INFO 2025-03-21 20:26:49,699 qnn_preprocess.py:69] Visiting: aten_convolution_default_84, aten.convolution.default
2025-03-21T20:27:06.8214051Z [INFO 2025-03-21 20:26:49,831 qnn_preprocess.py:69] Visiting: aten_permute_copy_default_833, aten.permute_copy.default
2025-03-21T20:27:06.8215365Z [INFO 2025-03-21 20:26:49,832 qnn_preprocess.py:69] Visiting: aten_view_copy_default_217, aten.view_copy.default
2025-03-21T20:27:06.8216291Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
2025-03-21T20:27:06.8216889Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context
2025-03-21T20:27:06.8217504Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device
2025-03-21T20:27:06.8218053Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend
2025-03-21T20:27:06.8218687Z [INFO 2025-03-21 20:27:06,816 builder.py:443] graph():
2025-03-21T20:27:06.8219858Z   %b_layers_0_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8221451Z   %b_layers_0_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8222947Z   %b_layers_1_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8223929Z   %b_layers_1_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8225206Z   %b_layers_2_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8226126Z   %b_layers_2_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8227030Z   %b_layers_3_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8227939Z   %b_layers_3_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8228848Z   %b_layers_4_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8229763Z   %b_layers_4_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8230660Z   %b_layers_5_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8231559Z   %b_layers_5_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8232470Z   %b_layers_6_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8233367Z   %b_layers_6_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8234335Z   %b_layers_7_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8235350Z   %b_layers_7_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8236305Z   %b_layers_8_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8237260Z   %b_layers_8_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8238169Z   %b_layers_9_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8239081Z   %b_layers_9_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8239999Z   %b_layers_10_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8240917Z   %b_layers_10_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8241843Z   %b_layers_11_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8242847Z   %b_layers_11_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8243679Z   %tokens : [num_users=1] = placeholder[target=tokens]
2025-03-21T20:27:06.8244438Z   %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos]
2025-03-21T20:27:06.8245028Z   %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0]
2025-03-21T20:27:06.8245464Z     backend_id: QnnBackend
2025-03-21T20:27:06.8245752Z     lowered graph():
2025-03-21T20:27:06.8246185Z       %p_tok_embeddings_weight : [num_users=1] = placeholder[target=p_tok_embeddings_weight]
2025-03-21T20:27:06.8246964Z       %p_layers_0_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_0_attention_norm_weight]
2025-03-21T20:27:06.8247771Z       %p_layers_0_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wq_conv_weight]
2025-03-21T20:27:06.8248685Z       %p_layers_0_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wk_conv_weight]
2025-03-21T20:27:06.8249490Z       %p_layers_0_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wv_conv_weight]
2025-03-21T20:27:06.8250303Z       %p_layers_0_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_0_attention_wo_conv_weight]
2025-03-21T20:27:06.8251042Z       %p_layers_0_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_0_ffn_norm_weight]
2025-03-21T20:27:06.8251801Z       %p_layers_0_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_0_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8252632Z       %p_layers_0_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_0_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8253579Z       %p_layers_0_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_0_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8254620Z       %p_layers_1_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_1_attention_norm_weight]
2025-03-21T20:27:06.8255462Z       %p_layers_1_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wq_conv_weight]
2025-03-21T20:27:06.8256282Z       %p_layers_1_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wk_conv_weight]
2025-03-21T20:27:06.8257083Z       %p_layers_1_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wv_conv_weight]
2025-03-21T20:27:06.8257887Z       %p_layers_1_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_1_attention_wo_conv_weight]
2025-03-21T20:27:06.8258605Z       %p_layers_1_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_1_ffn_norm_weight]
2025-03-21T20:27:06.8259421Z       %p_layers_1_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_1_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8260296Z       %p_layers_1_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_1_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8261145Z       %p_layers_1_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_1_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8261951Z       %p_layers_2_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_2_attention_norm_weight]
2025-03-21T20:27:06.8262738Z       %p_layers_2_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wq_conv_weight]
2025-03-21T20:27:06.8263537Z       %p_layers_2_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wk_conv_weight]
2025-03-21T20:27:06.8264333Z       %p_layers_2_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wv_conv_weight]
2025-03-21T20:27:06.8265139Z       %p_layers_2_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_2_attention_wo_conv_weight]
2025-03-21T20:27:06.8265880Z       %p_layers_2_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_2_ffn_norm_weight]
2025-03-21T20:27:06.8266634Z       %p_layers_2_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_2_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8267501Z       %p_layers_2_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_2_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8268340Z       %p_layers_2_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_2_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8269141Z       %p_layers_3_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_3_attention_norm_weight]
2025-03-21T20:27:06.8269915Z       %p_layers_3_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wq_conv_weight]
2025-03-21T20:27:06.8270718Z       %p_layers_3_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wk_conv_weight]
2025-03-21T20:27:06.8271553Z       %p_layers_3_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wv_conv_weight]
2025-03-21T20:27:06.8272355Z       %p_layers_3_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_3_attention_wo_conv_weight]
2025-03-21T20:27:06.8273167Z       %p_layers_3_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_3_ffn_norm_weight]
2025-03-21T20:27:06.8273924Z       %p_layers_3_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_3_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8274778Z       %p_layers_3_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_3_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8275605Z       %p_layers_3_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_3_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8276417Z       %p_layers_4_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_4_attention_norm_weight]
2025-03-21T20:27:06.8277212Z       %p_layers_4_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wq_conv_weight]
2025-03-21T20:27:06.8278018Z       %p_layers_4_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wk_conv_weight]
2025-03-21T20:27:06.8278827Z       %p_layers_4_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wv_conv_weight]
2025-03-21T20:27:06.8279632Z       %p_layers_4_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_4_attention_wo_conv_weight]
2025-03-21T20:27:06.8280373Z       %p_layers_4_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_4_ffn_norm_weight]
2025-03-21T20:27:06.8281121Z       %p_layers_4_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_4_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8282003Z       %p_layers_4_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_4_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8282958Z       %p_layers_4_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_4_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8283765Z       %p_layers_5_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_5_attention_norm_weight]
2025-03-21T20:27:06.8284553Z       %p_layers_5_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wq_conv_weight]
2025-03-21T20:27:06.8285362Z       %p_layers_5_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wk_conv_weight]
2025-03-21T20:27:06.8286169Z       %p_layers_5_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wv_conv_weight]
2025-03-21T20:27:06.8286958Z       %p_layers_5_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_5_attention_wo_conv_weight]
2025-03-21T20:27:06.8287702Z       %p_layers_5_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_5_ffn_norm_weight]
2025-03-21T20:27:06.8288468Z       %p_layers_5_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_5_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8289313Z       %p_layers_5_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_5_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8290185Z       %p_layers_5_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_5_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8290986Z       %p_layers_6_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_6_attention_norm_weight]
2025-03-21T20:27:06.8291771Z       %p_layers_6_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wq_conv_weight]
2025-03-21T20:27:06.8292559Z       %p_layers_6_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wk_conv_weight]
2025-03-21T20:27:06.8293360Z       %p_layers_6_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wv_conv_weight]
2025-03-21T20:27:06.8294194Z       %p_layers_6_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_6_attention_wo_conv_weight]
2025-03-21T20:27:06.8294927Z       %p_layers_6_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_6_ffn_norm_weight]
2025-03-21T20:27:06.8295682Z       %p_layers_6_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_6_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8296519Z       %p_layers_6_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_6_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8297356Z       %p_layers_6_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_6_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8298143Z       %p_layers_7_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_7_attention_norm_weight]
2025-03-21T20:27:06.8298931Z       %p_layers_7_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wq_conv_weight]
2025-03-21T20:27:06.8299749Z       %p_layers_7_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wk_conv_weight]
2025-03-21T20:27:06.8300556Z       %p_layers_7_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wv_conv_weight]
2025-03-21T20:27:06.8301362Z       %p_layers_7_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_7_attention_wo_conv_weight]
2025-03-21T20:27:06.8302096Z       %p_layers_7_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_7_ffn_norm_weight]
2025-03-21T20:27:06.8302839Z       %p_layers_7_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_7_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8303680Z       %p_layers_7_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_7_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8304548Z       %p_layers_7_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_7_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8305378Z       %p_layers_8_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_8_attention_norm_weight]
2025-03-21T20:27:06.8306170Z       %p_layers_8_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wq_conv_weight]
2025-03-21T20:27:06.8306972Z       %p_layers_8_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wk_conv_weight]
2025-03-21T20:27:06.8307773Z       %p_layers_8_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wv_conv_weight]
2025-03-21T20:27:06.8308646Z       %p_layers_8_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_8_attention_wo_conv_weight]
2025-03-21T20:27:06.8309366Z       %p_layers_8_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_8_ffn_norm_weight]
2025-03-21T20:27:06.8310123Z       %p_layers_8_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_8_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8310964Z       %p_layers_8_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_8_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8311807Z       %p_layers_8_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_8_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8312640Z       %p_layers_9_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_9_attention_norm_weight]
2025-03-21T20:27:06.8313431Z       %p_layers_9_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wq_conv_weight]
2025-03-21T20:27:06.8314234Z       %p_layers_9_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wk_conv_weight]
2025-03-21T20:27:06.8315024Z       %p_layers_9_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wv_conv_weight]
2025-03-21T20:27:06.8315826Z       %p_layers_9_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_9_attention_wo_conv_weight]
2025-03-21T20:27:06.8316562Z       %p_layers_9_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_9_ffn_norm_weight]
2025-03-21T20:27:06.8317364Z       %p_layers_9_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_9_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8318203Z       %p_layers_9_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_9_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8319045Z       %p_layers_9_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_9_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8319852Z       %p_layers_10_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_10_attention_norm_weight]
2025-03-21T20:27:06.8320638Z       %p_layers_10_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wq_conv_weight]
2025-03-21T20:27:06.8321451Z       %p_layers_10_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wk_conv_weight]
2025-03-21T20:27:06.8322261Z       %p_layers_10_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wv_conv_weight]
2025-03-21T20:27:06.8323151Z       %p_layers_10_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_10_attention_wo_conv_weight]
2025-03-21T20:27:06.8323901Z       %p_layers_10_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_10_ffn_norm_weight]
2025-03-21T20:27:06.8324872Z       %p_layers_10_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_10_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8325727Z       %p_layers_10_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_10_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8326564Z       %p_layers_10_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_10_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8327562Z       %p_layers_11_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_11_attention_norm_weight]
2025-03-21T20:27:06.8328452Z       %p_layers_11_attention_wq_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wq_conv_weight]
2025-03-21T20:27:06.8329265Z       %p_layers_11_attention_wk_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wk_conv_weight]
2025-03-21T20:27:06.8330075Z       %p_layers_11_attention_wv_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wv_conv_weight]
2025-03-21T20:27:06.8330886Z       %p_layers_11_attention_wo_conv_weight : [num_users=1] = placeholder[target=p_layers_11_attention_wo_conv_weight]
2025-03-21T20:27:06.8331631Z       %p_layers_11_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_11_ffn_norm_weight]
2025-03-21T20:27:06.8332386Z       %p_layers_11_feed_forward_w1_conv_weight : [num_users=1] = placeholder[target=p_layers_11_feed_forward_w1_conv_weight]
2025-03-21T20:27:06.8333238Z       %p_layers_11_feed_forward_w3_conv_weight : [num_users=1] = placeholder[target=p_layers_11_feed_forward_w3_conv_weight]
2025-03-21T20:27:06.8334089Z       %p_layers_11_feed_forward_w2_conv_weight : [num_users=1] = placeholder[target=p_layers_11_feed_forward_w2_conv_weight]
2025-03-21T20:27:06.8334776Z       %p_norm_weight : [num_users=1] = placeholder[target=p_norm_weight]
2025-03-21T20:27:06.8335372Z       %p_output_conv_weight : [num_users=1] = placeholder[target=p_output_conv_weight]
2025-03-21T20:27:06.8336011Z       %b_layers_0_attention_mask : [num_users=1] = placeholder[target=b_layers_0_attention_mask]
2025-03-21T20:27:06.8336662Z       %b_layers_1_attention_mask : [num_users=1] = placeholder[target=b_layers_1_attention_mask]
2025-03-21T20:27:06.8337324Z       %b_layers_2_attention_mask : [num_users=1] = placeholder[target=b_layers_2_attention_mask]
2025-03-21T20:27:06.8338081Z       %b_layers_3_attention_mask : [num_users=1] = placeholder[target=b_layers_3_attention_mask]
2025-03-21T20:27:06.8338742Z       %b_layers_4_attention_mask : [num_users=1] = placeholder[target=b_layers_4_attention_mask]
2025-03-21T20:27:06.8339401Z       %b_layers_5_attention_mask : [num_users=1] = placeholder[target=b_layers_5_attention_mask]
2025-03-21T20:27:06.8340104Z       %b_layers_6_attention_mask : [num_users=1] = placeholder[target=b_layers_6_attention_mask]
2025-03-21T20:27:06.8340762Z       %b_layers_7_attention_mask : [num_users=1] = placeholder[target=b_layers_7_attention_mask]
2025-03-21T20:27:06.8341411Z       %b_layers_8_attention_mask : [num_users=1] = placeholder[target=b_layers_8_attention_mask]
2025-03-21T20:27:06.8342071Z       %b_layers_9_attention_mask : [num_users=1] = placeholder[target=b_layers_9_attention_mask]
2025-03-21T20:27:06.8342738Z       %b_layers_10_attention_mask : [num_users=1] = placeholder[target=b_layers_10_attention_mask]
2025-03-21T20:27:06.8343411Z       %b_layers_11_attention_mask : [num_users=1] = placeholder[target=b_layers_11_attention_mask]
2025-03-21T20:27:06.8344154Z       %b_layers_11_attention_rope_freqs_cos : [num_users=1] = placeholder[target=b_layers_11_attention_rope_freqs_cos]
2025-03-21T20:27:06.8344971Z       %b_layers_11_attention_rope_freqs_sin : [num_users=1] = placeholder[target=b_layers_11_attention_rope_freqs_sin]
2025-03-21T20:27:06.8345706Z       %_lifted_tensor_constant38 : [num_users=1] = placeholder[target=_lifted_tensor_constant38]
2025-03-21T20:27:06.8346388Z       %_lifted_tensor_constant39 : [num_users=1] = placeholder[target=_lifted_tensor_constant39]
2025-03-21T20:27:06.8347060Z       %_lifted_tensor_constant40 : [num_users=1] = placeholder[target=_lifted_tensor_constant40]
2025-03-21T20:27:06.8347734Z       %_lifted_tensor_constant41 : [num_users=1] = placeholder[target=_lifted_tensor_constant41]
2025-03-21T20:27:06.8348408Z       %_lifted_tensor_constant42 : [num_users=1] = placeholder[target=_lifted_tensor_constant42]
2025-03-21T20:27:06.8349082Z       %_lifted_tensor_constant43 : [num_users=1] = placeholder[target=_lifted_tensor_constant43]
2025-03-21T20:27:06.8349769Z       %_lifted_tensor_constant44 : [num_users=1] = placeholder[target=_lifted_tensor_constant44]
2025-03-21T20:27:06.8350471Z       %_lifted_tensor_constant45 : [num_users=1] = placeholder[target=_lifted_tensor_constant45]
2025-03-21T20:27:06.8351148Z       %_lifted_tensor_constant46 : [num_users=1] = placeholder[target=_lifted_tensor_constant46]
2025-03-21T20:27:06.8351827Z       %_lifted_tensor_constant47 : [num_users=1] = placeholder[target=_lifted_tensor_constant47]
2025-03-21T20:27:06.8352499Z       %_lifted_tensor_constant48 : [num_users=1] = placeholder[target=_lifted_tensor_constant48]
2025-03-21T20:27:06.8353174Z       %_lifted_tensor_constant49 : [num_users=1] = placeholder[target=_lifted_tensor_constant49]
2025-03-21T20:27:06.8353977Z       %b_layers_0_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8354894Z       %b_layers_0_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8355814Z       %b_layers_1_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8356730Z       %b_layers_1_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8357667Z       %b_layers_2_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8358583Z       %b_layers_2_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8359491Z       %b_layers_3_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8360405Z       %b_layers_3_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8361305Z       %b_layers_4_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8362239Z       %b_layers_4_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8363246Z       %b_layers_5_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8364156Z       %b_layers_5_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8365087Z       %b_layers_6_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8365997Z       %b_layers_6_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8366911Z       %b_layers_7_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8367824Z       %b_layers_7_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8368720Z       %b_layers_8_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8370000Z       %b_layers_8_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8370916Z       %b_layers_9_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8371823Z       %b_layers_9_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8372743Z       %b_layers_10_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8373738Z       %b_layers_10_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8374664Z       %b_layers_11_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches]
2025-03-21T20:27:06.8375587Z       %b_layers_11_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches]
2025-03-21T20:27:06.8376249Z       %tokens : [num_users=1] = placeholder[target=tokens]
2025-03-21T20:27:06.8376771Z       %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos]
2025-03-21T20:27:06.8377717Z       %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})
2025-03-21T20:27:06.8379027Z       %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})
2025-03-21T20:27:06.8380450Z       %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 = {})
2025-03-21T20:27:06.8381955Z       %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 = {})
2025-03-21T20:27:06.8383435Z       %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 = {})
2025-03-21T20:27:06.8384877Z       %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 = {})
2025-03-21T20:27:06.8386284Z       %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 = {})
2025-03-21T20:27:06.8387714Z       %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 = {})
2025-03-21T20:27:06.8389098Z       %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 = {})
2025-03-21T20:27:06.8390494Z       %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 = {})
2025-03-21T20:27:06.8391893Z       %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 = {})
2025-03-21T20:27:06.8393297Z       %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 = {})
2025-03-21T20:27:06.8394693Z       %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 = {})
2025-03-21T20:27:06.8396088Z       %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 = {})
2025-03-21T20:27:06.8397484Z       %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 = {})
2025-03-21T20:27:06.8398936Z       %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 = {})
2025-03-21T20:27:06.8400343Z       %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 = {})
2025-03-21T20:27:06.8401875Z       %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 = {})
2025-03-21T20:27:06.8403440Z       %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 = {})
2025-03-21T20:27:06.8404776Z       %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 = {})
2025-03-21T20:27:06.8406087Z       %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 = {})
2025-03-21T20:27:06.8407808Z       %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 = {})
2025-03-21T20:27:06.8409260Z       %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 = {})
2025-03-21T20:27:06.8410932Z       %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 = {})
2025-03-21T20:27:06.8412260Z       %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 = {})
2025-03-21T20:27:06.8413615Z       %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 = {})
2025-03-21T20:27:06.8414942Z       %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 = {})
2025-03-21T20:27:06.8416266Z       %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 = {})
2025-03-21T20:27:06.8417591Z       %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 = {})
2025-03-21T20:27:06.8418919Z       %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 = {})
2025-03-21T20:27:06.8420247Z       %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 = {})
2025-03-21T20:27:06.8421563Z       %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 = {})
2025-03-21T20:27:06.8422890Z       %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 = {})
2025-03-21T20:27:06.8424456Z       %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 = {})
2025-03-21T20:27:06.8425926Z       %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 = {})
2025-03-21T20:27:06.8427256Z       %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 = {})
2025-03-21T20:27:06.8428594Z       %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 = {})
2025-03-21T20:27:06.8429933Z       %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 = {})
2025-03-21T20:27:06.8431274Z       %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 = {})
2025-03-21T20:27:06.8432611Z       %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 = {})
2025-03-21T20:27:06.8434008Z       %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 = {})
2025-03-21T20:27:06.8435340Z       %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 = {})
2025-03-21T20:27:06.8436706Z       %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 = {})
2025-03-21T20:27:06.8438084Z       %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 = {})
2025-03-21T20:27:06.8439507Z       %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 = {})
2025-03-21T20:27:06.8440915Z       %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 = {})
2025-03-21T20:27:06.8442423Z       %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 = {})
2025-03-21T20:27:06.8443906Z       %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 = {})
2025-03-21T20:27:06.8445596Z       %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 = {})
2025-03-21T20:27:06.8447505Z       %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 = {})
2025-03-21T20:27:06.8449408Z       %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 = {})
2025-03-21T20:27:06.8451142Z       %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 = {})
2025-03-21T20:27:06.8452591Z       %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 = {})
2025-03-21T20:27:06.8454031Z       %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 = {})
2025-03-21T20:27:06.8455419Z       %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 = {})
2025-03-21T20:27:06.8456758Z       %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 = {})
2025-03-21T20:27:06.8458081Z       %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 = {})
2025-03-21T20:27:06.8459449Z       %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 = {})
2025-03-21T20:27:06.8460812Z       %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 = {})
2025-03-21T20:27:06.8462181Z       %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 = {})
2025-03-21T20:27:06.8463557Z       %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 = {})
2025-03-21T20:27:06.8464976Z       %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 = {})
2025-03-21T20:27:06.8466576Z       %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 = {})
2025-03-21T20:27:06.8468147Z       %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 = {})
2025-03-21T20:27:06.8469484Z       %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 = {})
2025-03-21T20:27:06.8470811Z       %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 = {})
2025-03-21T20:27:06.8472144Z       %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 = {})
2025-03-21T20:27:06.8473516Z       %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 = {})
2025-03-21T20:27:06.8474919Z       %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 = {})
2025-03-21T20:27:06.8476383Z       %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 = {})
2025-03-21T20:27:06.8477802Z       %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 = {})
2025-03-21T20:27:06.8479213Z       %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 = {})
2025-03-21T20:27:06.8480629Z       %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 = {})
2025-03-21T20:27:06.8482047Z       %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 = {})
2025-03-21T20:27:06.8483529Z       %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 = {})
2025-03-21T20:27:06.8484972Z       %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 = {})
2025-03-21T20:27:06.8486391Z       %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 = {})
2025-03-21T20:27:06.8487804Z       %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 = {})
2025-03-21T20:27:06.8489220Z       %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 = {})
2025-03-21T20:27:06.8490608Z       %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 = {})
2025-03-21T20:27:06.8491901Z       %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 = {})
2025-03-21T20:27:06.8493214Z       %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 = {})
2025-03-21T20:27:06.8494518Z       %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 = {})
2025-03-21T20:27:06.8495826Z       %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 = {})
2025-03-21T20:27:06.8497124Z       %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 = {})
2025-03-21T20:27:06.8498418Z       %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 = {})
2025-03-21T20:27:06.8499712Z       %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 = {})
2025-03-21T20:27:06.8501056Z       %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 = {})
2025-03-21T20:27:06.8502357Z       %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 = {})
2025-03-21T20:27:06.8503651Z       %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 = {})
2025-03-21T20:27:06.8504948Z       %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 = {})
2025-03-21T20:27:06.8506230Z       %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 = {})
2025-03-21T20:27:06.8507528Z       %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 = {})
2025-03-21T20:27:06.8508825Z       %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 = {})
2025-03-21T20:27:06.8510143Z       %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 = {})
2025-03-21T20:27:06.8511464Z       %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 = {})
2025-03-21T20:27:06.8512808Z       %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 = {})
2025-03-21T20:27:06.8514155Z       %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 = {})
2025-03-21T20:27:06.8515523Z       %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 = {})
2025-03-21T20:27:06.8516862Z       %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 = {})
2025-03-21T20:27:06.8518201Z       %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 = {})
2025-03-21T20:27:06.8519537Z       %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 = {})
2025-03-21T20:27:06.8520869Z       %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 = {})
2025-03-21T20:27:06.8522177Z       %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 = {})
2025-03-21T20:27:06.8523512Z       %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 = {})
2025-03-21T20:27:06.8524973Z       %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 = {})
2025-03-21T20:27:06.8526367Z       %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 = {})
2025-03-21T20:27:06.8527637Z       %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 = {})
2025-03-21T20:27:06.8528904Z       %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 = {})
2025-03-21T20:27:06.8530166Z       %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 = {})
2025-03-21T20:27:06.8531428Z       %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 = {})
2025-03-21T20:27:06.8532693Z       %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 = {})
2025-03-21T20:27:06.8533956Z       %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 = {})
2025-03-21T20:27:06.8535241Z       %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 = {})
2025-03-21T20:27:06.8536508Z       %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 = {})
2025-03-21T20:27:06.8537758Z       %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 = {})
2025-03-21T20:27:06.8538998Z       %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 = {})
2025-03-21T20:27:06.8540272Z       %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 = {})
2025-03-21T20:27:06.8541514Z       %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 = {})
2025-03-21T20:27:06.8543611Z       %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 = {})
2025-03-21T20:27:06.8545760Z       %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 = {})
2025-03-21T20:27:06.8547103Z       %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 = {})
2025-03-21T20:27:06.8548451Z       %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 = {})
2025-03-21T20:27:06.8549796Z       %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 = {})
2025-03-21T20:27:06.8551166Z       %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 = {})
2025-03-21T20:27:06.8552607Z       %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 = {})
2025-03-21T20:27:06.8566977Z       %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 = {})
2025-03-21T20:27:06.8568436Z       %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 = {})
2025-03-21T20:27:06.8569758Z       %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 = {})
2025-03-21T20:27:06.8571136Z       %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 = {})
2025-03-21T20:27:06.8572828Z       %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 = {})
2025-03-21T20:27:06.8574526Z       %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 = {})
2025-03-21T20:27:06.8575935Z       %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 = {})
2025-03-21T20:27:06.8577480Z       %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 = {})
2025-03-21T20:27:06.8578919Z       %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 = {})
2025-03-21T20:27:06.8580332Z       %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 = {})
2025-03-21T20:27:06.8581742Z       %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 = {})
2025-03-21T20:27:06.8583148Z       %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 = {})
2025-03-21T20:27:06.8584605Z       %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 = {})
2025-03-21T20:27:06.8586014Z       %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 = {})
2025-03-21T20:27:06.8587462Z       %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 = {})
2025-03-21T20:27:06.8588863Z       %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 = {})
2025-03-21T20:27:06.8590387Z       %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 = {})
2025-03-21T20:27:06.8591736Z       %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 = {})
2025-03-21T20:27:06.8593035Z       %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 = {})
2025-03-21T20:27:06.8594334Z       %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 = {})
2025-03-21T20:27:06.8595615Z       %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 = {})
2025-03-21T20:27:06.8596926Z       %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 = {})
2025-03-21T20:27:06.8598233Z       %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 = {})
2025-03-21T20:27:06.8599602Z       %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 = {})
2025-03-21T20:27:06.8600903Z       %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 = {})
2025-03-21T20:27:06.8602206Z       %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 = {})
2025-03-21T20:27:06.8603575Z       %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 = {})
2025-03-21T20:27:06.8604912Z       %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 = {})
2025-03-21T20:27:06.8606212Z       %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 = {})
2025-03-21T20:27:06.8607485Z       %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 = {})
2025-03-21T20:27:06.8608732Z       %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 = {})
2025-03-21T20:27:06.8609982Z       %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 = {})
2025-03-21T20:27:06.8611243Z       %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 = {})
2025-03-21T20:27:06.8612498Z       %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 = {})
2025-03-21T20:27:06.8613762Z       %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 = {})
2025-03-21T20:27:06.8615026Z       %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 = {})
2025-03-21T20:27:06.8616349Z       %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 = {})
2025-03-21T20:27:06.8617616Z       %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 = {})
2025-03-21T20:27:06.8618882Z       %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 = {})
2025-03-21T20:27:06.8620151Z       %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 = {})
2025-03-21T20:27:06.8621429Z       %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 = {})
2025-03-21T20:27:06.8623563Z       %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 = {})
2025-03-21T20:27:06.8625892Z       %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 = {})
2025-03-21T20:27:06.8627255Z       %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 = {})
2025-03-21T20:27:06.8628716Z       %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 = {})
2025-03-21T20:27:06.8630202Z       %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 = {})
2025-03-21T20:27:06.8631502Z       %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 = {})
2025-03-21T20:27:06.8632786Z       %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 = {})
2025-03-21T20:27:06.8634140Z       %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 = {})
2025-03-21T20:27:06.8635558Z       %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 = {})
2025-03-21T20:27:06.8636953Z       %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 = {})
2025-03-21T20:27:06.8638348Z       %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 = {})
2025-03-21T20:27:06.8639789Z       %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 = {})
2025-03-21T20:27:06.8641552Z       %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 = {})
2025-03-21T20:27:06.8643302Z       %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 = {})
2025-03-21T20:27:06.8644700Z       %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 = {})
2025-03-21T20:27:06.8646034Z       %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 = {})
2025-03-21T20:27:06.8647494Z       %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 = {})
2025-03-21T20:27:06.8648967Z       %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 = {})
2025-03-21T20:27:06.8650401Z       %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 = {})
2025-03-21T20:27:06.8651837Z       %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 = {})
2025-03-21T20:27:06.8653304Z       %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 = {})
2025-03-21T20:27:06.8655001Z       %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 = {})
2025-03-21T20:27:06.8656946Z       %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 = {})
2025-03-21T20:27:06.8658627Z       %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 = {})
2025-03-21T20:27:06.8660071Z       %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 = {})
2025-03-21T20:27:06.8661460Z       %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 = {})
2025-03-21T20:27:06.8662805Z       %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 = {})
2025-03-21T20:27:06.8664113Z       %aten_sigmoid_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_8,), kwargs = {})
2025-03-21T20:27:06.8665402Z       %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 = {})
2025-03-21T20:27:06.8666783Z       %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 = {})
2025-03-21T20:27:06.8668123Z       %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 = {})
2025-03-21T20:27:06.8669549Z       %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 = {})
2025-03-21T20:27:06.8671245Z       %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 = {})
2025-03-21T20:27:06.8672934Z       %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 = {})
2025-03-21T20:27:06.8674323Z       %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 = {})
2025-03-21T20:27:06.8675671Z       %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 = {})
2025-03-21T20:27:06.8677117Z       %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 = {})
2025-03-21T20:27:06.8678614Z       %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 = {})
2025-03-21T20:27:06.8680007Z       %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 = {})
2025-03-21T20:27:06.8681427Z       %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 = {})
2025-03-21T20:27:06.8682934Z       %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 = {})
2025-03-21T20:27:06.8684391Z       %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 = {})
2025-03-21T20:27:06.8685859Z       %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 = {})
2025-03-21T20:27:06.8687553Z       %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 = {})
2025-03-21T20:27:06.8689460Z       %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 = {})
2025-03-21T20:27:06.8691336Z       %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 = {})
2025-03-21T20:27:06.8693057Z       %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 = {})
2025-03-21T20:27:06.8694506Z       %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 = {})
2025-03-21T20:27:06.8695940Z       %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 = {})
2025-03-21T20:27:06.8697324Z       %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 = {})
2025-03-21T20:27:06.8698669Z       %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 = {})
2025-03-21T20:27:06.8700010Z       %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 = {})
2025-03-21T20:27:06.8701392Z       %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 = {})
2025-03-21T20:27:06.8702770Z       %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 = {})
2025-03-21T20:27:06.8704145Z       %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 = {})
2025-03-21T20:27:06.8705531Z       %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 = {})
2025-03-21T20:27:06.8706955Z       %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 = {})
2025-03-21T20:27:06.8708564Z       %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 = {})
2025-03-21T20:27:06.8710124Z       %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 = {})
2025-03-21T20:27:06.8711464Z       %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 = {})
2025-03-21T20:27:06.8712793Z       %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 = {})
2025-03-21T20:27:06.8714123Z       %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 = {})
2025-03-21T20:27:06.8715495Z       %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 = {})
2025-03-21T20:27:06.8716912Z       %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 = {})
2025-03-21T20:27:06.8718376Z       %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 = {})
2025-03-21T20:27:06.8719794Z       %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 = {})
2025-03-21T20:27:06.8721211Z       %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 = {})
2025-03-21T20:27:06.8722691Z       %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 = {})
2025-03-21T20:27:06.8724115Z       %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 = {})
2025-03-21T20:27:06.8725700Z       %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 = {})
2025-03-21T20:27:06.8727170Z       %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 = {})
2025-03-21T20:27:06.8728593Z       %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 = {})
2025-03-21T20:27:06.8730012Z       %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 = {})
2025-03-21T20:27:06.8731435Z       %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 = {})
2025-03-21T20:27:06.8732835Z       %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 = {})
2025-03-21T20:27:06.8734148Z       %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 = {})
2025-03-21T20:27:06.8735457Z       %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 = {})
2025-03-21T20:27:06.8736770Z       %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 = {})
2025-03-21T20:27:06.8738074Z       %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 = {})
2025-03-21T20:27:06.8739378Z       %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 = {})
2025-03-21T20:27:06.8740681Z       %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 = {})
2025-03-21T20:27:06.8741970Z       %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 = {})
2025-03-21T20:27:06.8743333Z       %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 = {})
2025-03-21T20:27:06.8744632Z       %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 = {})
2025-03-21T20:27:06.8745930Z       %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 = {})
2025-03-21T20:27:06.8747233Z       %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 = {})
2025-03-21T20:27:06.8748530Z       %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 = {})
2025-03-21T20:27:06.8749832Z       %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 = {})
2025-03-21T20:27:06.8751154Z       %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 = {})
2025-03-21T20:27:06.8752445Z       %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 = {})
2025-03-21T20:27:06.8753766Z       %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 = {})
2025-03-21T20:27:06.8755118Z       %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 = {})
2025-03-21T20:27:06.8756472Z       %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 = {})
2025-03-21T20:27:06.8757840Z       %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 = {})
2025-03-21T20:27:06.8759186Z       %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 = {})
2025-03-21T20:27:06.8760521Z       %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 = {})
2025-03-21T20:27:06.8761867Z       %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 = {})
2025-03-21T20:27:06.8763286Z       %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 = {})
2025-03-21T20:27:06.8764593Z       %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 = {})
2025-03-21T20:27:06.8765858Z       %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 = {})
2025-03-21T20:27:06.8767111Z       %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 = {})
2025-03-21T20:27:06.8768429Z       %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 = {})
2025-03-21T20:27:06.8769690Z       %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 = {})
2025-03-21T20:27:06.8770950Z       %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 = {})
2025-03-21T20:27:06.8772213Z       %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 = {})
2025-03-21T20:27:06.8773468Z       %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 = {})
2025-03-21T20:27:06.8774725Z       %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 = {})
2025-03-21T20:27:06.8776010Z       %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 = {})
2025-03-21T20:27:06.8777270Z       %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 = {})
2025-03-21T20:27:06.8778534Z       %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 = {})
2025-03-21T20:27:06.8779788Z       %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 = {})
2025-03-21T20:27:06.8781037Z       %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 = {})
2025-03-21T20:27:06.8782308Z       %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 = {})
2025-03-21T20:27:06.8783549Z       %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 = {})
2025-03-21T20:27:06.8785647Z       %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 = {})
2025-03-21T20:27:06.8787794Z       %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 = {})
2025-03-21T20:27:06.8789145Z       %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 = {})
2025-03-21T20:27:06.8790482Z       %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 = {})
2025-03-21T20:27:06.8791811Z       %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 = {})
2025-03-21T20:27:06.8793189Z       %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 = {})
2025-03-21T20:27:06.8794598Z       %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 = {})
2025-03-21T20:27:06.8796085Z       %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 = {})
2025-03-21T20:27:06.8797485Z       %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 = {})
2025-03-21T20:27:06.8798806Z       %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 = {})
2025-03-21T20:27:06.8800178Z       %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 = {})
2025-03-21T20:27:06.8801823Z       %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 = {})
2025-03-21T20:27:06.8803509Z       %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 = {})
2025-03-21T20:27:06.8804918Z       %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 = {})
2025-03-21T20:27:06.8806330Z       %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 = {})
2025-03-21T20:27:06.8807764Z       %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 = {})
2025-03-21T20:27:06.8809170Z       %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 = {})
2025-03-21T20:27:06.8810564Z       %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 = {})
2025-03-21T20:27:06.8811973Z       %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 = {})
2025-03-21T20:27:06.8813378Z       %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 = {})
2025-03-21T20:27:06.8814785Z       %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 = {})
2025-03-21T20:27:06.8816188Z       %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 = {})
2025-03-21T20:27:06.8817589Z       %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 = {})
2025-03-21T20:27:06.8819047Z       %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 = {})
2025-03-21T20:27:06.8820397Z       %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 = {})
2025-03-21T20:27:06.8821689Z       %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 = {})
2025-03-21T20:27:06.8822979Z       %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 = {})
2025-03-21T20:27:06.8824265Z       %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 = {})
2025-03-21T20:27:06.8825722Z       %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 = {})
2025-03-21T20:27:06.8827063Z       %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 = {})
2025-03-21T20:27:06.8828403Z       %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 = {})
2025-03-21T20:27:06.8829738Z       %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 = {})
2025-03-21T20:27:06.8831033Z       %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 = {})
2025-03-21T20:27:06.8832365Z       %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 = {})
2025-03-21T20:27:06.8833651Z       %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 = {})
2025-03-21T20:27:06.8834936Z       %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 = {})
2025-03-21T20:27:06.8836209Z       %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 = {})
2025-03-21T20:27:06.8837466Z       %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 = {})
2025-03-21T20:27:06.8838728Z       %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 = {})
2025-03-21T20:27:06.8840159Z       %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 = {})
2025-03-21T20:27:06.8841405Z       %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 = {})
2025-03-21T20:27:06.8842732Z       %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 = {})
2025-03-21T20:27:06.8844089Z       %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 = {})
2025-03-21T20:27:06.8845350Z       %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 = {})
2025-03-21T20:27:06.8846607Z       %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 = {})
2025-03-21T20:27:06.8847859Z       %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 = {})
2025-03-21T20:27:06.8849117Z       %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 = {})
2025-03-21T20:27:06.8850386Z       %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 = {})
2025-03-21T20:27:06.8852529Z       %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 = {})
2025-03-21T20:27:06.8854662Z       %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 = {})
2025-03-21T20:27:06.8856034Z       %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 = {})
2025-03-21T20:27:06.8857516Z       %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 = {})
2025-03-21T20:27:06.8858921Z       %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 = {})
2025-03-21T20:27:06.8860200Z       %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 = {})
2025-03-21T20:27:06.8861479Z       %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 = {})
2025-03-21T20:27:06.8862829Z       %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 = {})
2025-03-21T20:27:06.8864225Z       %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 = {})
2025-03-21T20:27:06.8865603Z       %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 = {})
2025-03-21T20:27:06.8866982Z       %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 = {})
2025-03-21T20:27:06.8868466Z       %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 = {})
2025-03-21T20:27:06.8870144Z       %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 = {})
2025-03-21T20:27:06.8871810Z       %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 = {})
2025-03-21T20:27:06.8873192Z       %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 = {})
2025-03-21T20:27:06.8874506Z       %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 = {})
2025-03-21T20:27:06.8875912Z       %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 = {})
2025-03-21T20:27:06.8877381Z       %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 = {})
2025-03-21T20:27:06.8878756Z       %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 = {})
2025-03-21T20:27:06.8880177Z       %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 = {})
2025-03-21T20:27:06.8881647Z       %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 = {})
2025-03-21T20:27:06.8883418Z       %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 = {})
2025-03-21T20:27:06.8885334Z       %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 = {})
2025-03-21T20:27:06.8887024Z       %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 = {})
2025-03-21T20:27:06.8888481Z       %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 = {})
2025-03-21T20:27:06.8889883Z       %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 = {})
2025-03-21T20:27:06.8891227Z       %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 = {})
2025-03-21T20:27:06.8892544Z       %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 = {})
2025-03-21T20:27:06.8893915Z       %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 = {})
2025-03-21T20:27:06.8895244Z       %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 = {})
2025-03-21T20:27:06.8896575Z       %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 = {})
2025-03-21T20:27:06.8897992Z       %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 = {})
2025-03-21T20:27:06.8899688Z       %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 = {})
2025-03-21T20:27:06.8901372Z       %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 = {})
2025-03-21T20:27:06.8902793Z       %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 = {})
2025-03-21T20:27:06.8904110Z       %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 = {})
2025-03-21T20:27:06.8905553Z       %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 = {})
2025-03-21T20:27:06.8907046Z       %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 = {})
2025-03-21T20:27:06.8908466Z       %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 = {})
2025-03-21T20:27:06.8909851Z       %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 = {})
2025-03-21T20:27:06.8911276Z       %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 = {})
2025-03-21T20:27:06.8912737Z       %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 = {})
2025-03-21T20:27:06.8914204Z       %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 = {})
2025-03-21T20:27:06.8915892Z       %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 = {})
2025-03-21T20:27:06.8917785Z       %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 = {})
2025-03-21T20:27:06.8919742Z       %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 = {})
2025-03-21T20:27:06.8921418Z       %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 = {})
2025-03-21T20:27:06.8922916Z       %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 = {})
2025-03-21T20:27:06.8924526Z       %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 = {})
2025-03-21T20:27:06.8925928Z       %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 = {})
2025-03-21T20:27:06.8927271Z       %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 = {})
2025-03-21T20:27:06.8928675Z       %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 = {})
2025-03-21T20:27:06.8930032Z       %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 = {})
2025-03-21T20:27:06.8931401Z       %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 = {})
2025-03-21T20:27:06.8932780Z       %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 = {})
2025-03-21T20:27:06.8934202Z       %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 = {})
2025-03-21T20:27:06.8935598Z       %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 = {})
2025-03-21T20:27:06.8937193Z       %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 = {})
2025-03-21T20:27:06.8938782Z       %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 = {})
2025-03-21T20:27:06.8940214Z       %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 = {})
2025-03-21T20:27:06.8941554Z       %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 = {})
2025-03-21T20:27:06.8942890Z       %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 = {})
2025-03-21T20:27:06.8944279Z       %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 = {})
2025-03-21T20:27:06.8945787Z       %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 = {})
2025-03-21T20:27:06.8947220Z       %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 = {})
2025-03-21T20:27:06.8948640Z       %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 = {})
2025-03-21T20:27:06.8950068Z       %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 = {})
2025-03-21T20:27:06.8951639Z       %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 = {})
2025-03-21T20:27:06.8953063Z       %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 = {})
2025-03-21T20:27:06.8954533Z       %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 = {})
2025-03-21T20:27:06.8955946Z       %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 = {})
2025-03-21T20:27:06.8957370Z       %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 = {})
2025-03-21T20:27:06.8958792Z       %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 = {})
2025-03-21T20:27:06.8960245Z       %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 = {})
2025-03-21T20:27:06.8961609Z       %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 = {})
2025-03-21T20:27:06.8962975Z       %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 = {})
2025-03-21T20:27:06.8964295Z       %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 = {})
2025-03-21T20:27:06.8965616Z       %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 = {})
2025-03-21T20:27:06.8966934Z       %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 = {})
2025-03-21T20:27:06.8968256Z       %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 = {})
2025-03-21T20:27:06.8969567Z       %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 = {})
2025-03-21T20:27:06.8970921Z       %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 = {})
2025-03-21T20:27:06.8972231Z       %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 = {})
2025-03-21T20:27:06.8973545Z       %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 = {})
2025-03-21T20:27:06.8974854Z       %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 = {})
2025-03-21T20:27:06.8976164Z       %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 = {})
2025-03-21T20:27:06.8977479Z       %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 = {})
2025-03-21T20:27:06.8978814Z       %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 = {})
2025-03-21T20:27:06.8980126Z       %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 = {})
2025-03-21T20:27:06.8981440Z       %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 = {})
2025-03-21T20:27:06.8982774Z       %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 = {})
2025-03-21T20:27:06.8984168Z       %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 = {})
2025-03-21T20:27:06.8985520Z       %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 = {})
2025-03-21T20:27:06.8986878Z       %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 = {})
2025-03-21T20:27:06.8988232Z       %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 = {})
2025-03-21T20:27:06.8989584Z       %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 = {})
2025-03-21T20:27:06.8990934Z       %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 = {})
2025-03-21T20:27:06.8992289Z       %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 = {})
2025-03-21T20:27:06.8993609Z       %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 = {})
2025-03-21T20:27:06.8994898Z       %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 = {})
2025-03-21T20:27:06.8996275Z       %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 = {})
2025-03-21T20:27:06.8997560Z       %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 = {})
2025-03-21T20:27:06.8998848Z       %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 = {})
2025-03-21T20:27:06.9000115Z       %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 = {})
2025-03-21T20:27:06.9001388Z       %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 = {})
2025-03-21T20:27:06.9002739Z       %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 = {})
2025-03-21T20:27:06.9004057Z       %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 = {})
2025-03-21T20:27:06.9005336Z       %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 = {})
2025-03-21T20:27:06.9006619Z       %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 = {})
2025-03-21T20:27:06.9007903Z       %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 = {})
2025-03-21T20:27:06.9009198Z       %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 = {})
2025-03-21T20:27:06.9010455Z       %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 = {})
2025-03-21T20:27:06.9011705Z       %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 = {})
2025-03-21T20:27:06.9012955Z       %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 = {})
2025-03-21T20:27:06.9015128Z       %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 = {})
2025-03-21T20:27:06.9017354Z       %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 = {})
2025-03-21T20:27:06.9018697Z       %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 = {})
2025-03-21T20:27:06.9020048Z       %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 = {})
2025-03-21T20:27:06.9021453Z       %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 = {})
2025-03-21T20:27:06.9022807Z       %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 = {})
2025-03-21T20:27:06.9024218Z       %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 = {})
2025-03-21T20:27:06.9025878Z       %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 = {})
2025-03-21T20:27:06.9027294Z       %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 = {})
2025-03-21T20:27:06.9028619Z       %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 = {})
2025-03-21T20:27:06.9030055Z       %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 = {})
2025-03-21T20:27:06.9031678Z       %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 = {})
2025-03-21T20:27:06.9033302Z       %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 = {})
2025-03-21T20:27:06.9034756Z       %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 = {})
2025-03-21T20:27:06.9036174Z       %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 = {})
2025-03-21T20:27:06.9037572Z       %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 = {})
2025-03-21T20:27:06.9038978Z       %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 = {})
2025-03-21T20:27:06.9040392Z       %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 = {})
2025-03-21T20:27:06.9041812Z       %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 = {})
2025-03-21T20:27:06.9043290Z       %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 = {})
2025-03-21T20:27:06.9044703Z       %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 = {})
2025-03-21T20:27:06.9046113Z       %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 = {})
2025-03-21T20:27:06.9047609Z       %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 = {})
2025-03-21T20:27:06.9049037Z       %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 = {})
2025-03-21T20:27:06.9050396Z       %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 = {})
2025-03-21T20:27:06.9051691Z       %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 = {})
2025-03-21T20:27:06.9052990Z       %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 = {})
2025-03-21T20:27:06.9054293Z       %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 = {})
2025-03-21T20:27:06.9055626Z       %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 = {})
2025-03-21T20:27:06.9056928Z       %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 = {})
2025-03-21T20:27:06.9058228Z       %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 = {})
2025-03-21T20:27:06.9059535Z       %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 = {})
2025-03-21T20:27:06.9060870Z       %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 = {})
2025-03-21T20:27:06.9062272Z       %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 = {})
2025-03-21T20:27:06.9063581Z       %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 = {})
2025-03-21T20:27:06.9064886Z       %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 = {})
2025-03-21T20:27:06.9066180Z       %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 = {})
2025-03-21T20:27:06.9067430Z       %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 = {})
2025-03-21T20:27:06.9068699Z       %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 = {})
2025-03-21T20:27:06.9069978Z       %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 = {})
2025-03-21T20:27:06.9071305Z       %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 = {})
2025-03-21T20:27:06.9072781Z       %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 = {})
2025-03-21T20:27:06.9074069Z       %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 = {})
2025-03-21T20:27:06.9075348Z       %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 = {})
2025-03-21T20:27:06.9076616Z       %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 = {})
2025-03-21T20:27:06.9077895Z       %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 = {})
2025-03-21T20:27:06.9079175Z       %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 = {})
2025-03-21T20:27:06.9080487Z       %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 = {})
2025-03-21T20:27:06.9082716Z       %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 = {})
2025-03-21T20:27:06.9084918Z       %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 = {})
2025-03-21T20:27:06.9086325Z       %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 = {})
2025-03-21T20:27:06.9087787Z       %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 = {})
2025-03-21T20:27:06.9089199Z       %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 = {})
2025-03-21T20:27:06.9090497Z       %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 = {})
2025-03-21T20:27:06.9091775Z       %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 = {})
2025-03-21T20:27:06.9093131Z       %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 = {})
2025-03-21T20:27:06.9094537Z       %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 = {})
2025-03-21T20:27:06.9095926Z       %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 = {})
2025-03-21T20:27:06.9097371Z       %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 = {})
2025-03-21T20:27:06.9098814Z       %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 = {})
2025-03-21T20:27:06.9100517Z       %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 = {})
2025-03-21T20:27:06.9102195Z       %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 = {})
2025-03-21T20:27:06.9103596Z       %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 = {})
2025-03-21T20:27:06.9104933Z       %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 = {})
2025-03-21T20:27:06.9106357Z       %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 = {})
2025-03-21T20:27:06.9107827Z       %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 = {})
2025-03-21T20:27:06.9109216Z       %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 = {})
2025-03-21T20:27:06.9110677Z       %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 = {})
2025-03-21T20:27:06.9112149Z       %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 = {})
2025-03-21T20:27:06.9113848Z       %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 = {})
2025-03-21T20:27:06.9115770Z       %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 = {})
2025-03-21T20:27:06.9117456Z       %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 = {})
2025-03-21T20:27:06.9118905Z       %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 = {})
2025-03-21T20:27:06.9120297Z       %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 = {})
2025-03-21T20:27:06.9121635Z       %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 = {})
2025-03-21T20:27:06.9123068Z       %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 = {})
2025-03-21T20:27:06.9124495Z       %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 = {})
2025-03-21T20:27:06.9125816Z       %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 = {})
2025-03-21T20:27:06.9127152Z       %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 = {})
2025-03-21T20:27:06.9128576Z       %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 = {})
2025-03-21T20:27:06.9130341Z       %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 = {})
2025-03-21T20:27:06.9132027Z       %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 = {})
2025-03-21T20:27:06.9133425Z       %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 = {})
2025-03-21T20:27:06.9134749Z       %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 = {})
2025-03-21T20:27:06.9136208Z       %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 = {})
2025-03-21T20:27:06.9137739Z       %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 = {})
2025-03-21T20:27:06.9139128Z       %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 = {})
2025-03-21T20:27:06.9140518Z       %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 = {})
2025-03-21T20:27:06.9141956Z       %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 = {})
2025-03-21T20:27:06.9143422Z       %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 = {})
2025-03-21T20:27:06.9144896Z       %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 = {})
2025-03-21T20:27:06.9146586Z       %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 = {})
2025-03-21T20:27:06.9148574Z       %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 = {})
2025-03-21T20:27:06.9150477Z       %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 = {})
2025-03-21T20:27:06.9152154Z       %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 = {})
2025-03-21T20:27:06.9153605Z       %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 = {})
2025-03-21T20:27:06.9155056Z       %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 = {})
2025-03-21T20:27:06.9156473Z       %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 = {})
2025-03-21T20:27:06.9157816Z       %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 = {})
2025-03-21T20:27:06.9159151Z       %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 = {})
2025-03-21T20:27:06.9160505Z       %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 = {})
2025-03-21T20:27:06.9161893Z       %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 = {})
2025-03-21T20:27:06.9163329Z       %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 = {})
2025-03-21T20:27:06.9164702Z       %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 = {})
2025-03-21T20:27:06.9166089Z       %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 = {})
2025-03-21T20:27:06.9167694Z       %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 = {})
2025-03-21T20:27:06.9169260Z       %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 = {})
2025-03-21T20:27:06.9170591Z       %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 = {})
2025-03-21T20:27:06.9171913Z       %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 = {})
2025-03-21T20:27:06.9173303Z       %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 = {})
2025-03-21T20:27:06.9174680Z       %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 = {})
2025-03-21T20:27:06.9176102Z       %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 = {})
2025-03-21T20:27:06.9177524Z       %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 = {})
2025-03-21T20:27:06.9178941Z       %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 = {})
2025-03-21T20:27:06.9180364Z       %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 = {})
2025-03-21T20:27:06.9181812Z       %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 = {})
2025-03-21T20:27:06.9183219Z       %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 = {})
2025-03-21T20:27:06.9184640Z       %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 = {})
2025-03-21T20:27:06.9186059Z       %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 = {})
2025-03-21T20:27:06.9187511Z       %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 = {})
2025-03-21T20:27:06.9188937Z       %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 = {})
2025-03-21T20:27:06.9190357Z       %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 = {})
2025-03-21T20:27:06.9191732Z       %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 = {})
2025-03-21T20:27:06.9193049Z       %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 = {})
2025-03-21T20:27:06.9194366Z       %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 = {})
2025-03-21T20:27:06.9195681Z       %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 = {})
2025-03-21T20:27:06.9196999Z       %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 = {})
2025-03-21T20:27:06.9198332Z       %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 = {})
2025-03-21T20:27:06.9199686Z       %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 = {})
2025-03-21T20:27:06.9200996Z       %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 = {})
2025-03-21T20:27:06.9202299Z       %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 = {})
2025-03-21T20:27:06.9203675Z       %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 = {})
2025-03-21T20:27:06.9204989Z       %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 = {})
2025-03-21T20:27:06.9206305Z       %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 = {})
2025-03-21T20:27:06.9207638Z       %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 = {})
2025-03-21T20:27:06.9208942Z       %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 = {})
2025-03-21T20:27:06.9210241Z       %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 = {})
2025-03-21T20:27:06.9211542Z       %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 = {})
2025-03-21T20:27:06.9212885Z       %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 = {})
2025-03-21T20:27:06.9214230Z       %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 = {})
2025-03-21T20:27:06.9215580Z       %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 = {})
2025-03-21T20:27:06.9216927Z       %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 = {})
2025-03-21T20:27:06.9218280Z       %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 = {})
2025-03-21T20:27:06.9219633Z       %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 = {})
2025-03-21T20:27:06.9220980Z       %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 = {})
2025-03-21T20:27:06.9222328Z       %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 = {})
2025-03-21T20:27:06.9223689Z       %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 = {})
2025-03-21T20:27:06.9225121Z       %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 = {})
2025-03-21T20:27:06.9226401Z       %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 = {})
2025-03-21T20:27:06.9227680Z       %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 = {})
2025-03-21T20:27:06.9228993Z       %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 = {})
2025-03-21T20:27:06.9230269Z       %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 = {})
2025-03-21T20:27:06.9231597Z       %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 = {})
2025-03-21T20:27:06.9232876Z       %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 = {})
2025-03-21T20:27:06.9234153Z       %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 = {})
2025-03-21T20:27:06.9235435Z       %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 = {})
2025-03-21T20:27:06.9236729Z       %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 = {})
2025-03-21T20:27:06.9238060Z       %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 = {})
2025-03-21T20:27:06.9239331Z       %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 = {})
2025-03-21T20:27:06.9240579Z       %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 = {})
2025-03-21T20:27:06.9241818Z       %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 = {})
2025-03-21T20:27:06.9243148Z       %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 = {})
2025-03-21T20:27:06.9245323Z       %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 = {})
2025-03-21T20:27:06.9247551Z       %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 = {})
2025-03-21T20:27:06.9248988Z       %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 = {})
2025-03-21T20:27:06.9250356Z       %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 = {})
2025-03-21T20:27:06.9251718Z       %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 = {})
2025-03-21T20:27:06.9253068Z       %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 = {})
2025-03-21T20:27:06.9254497Z       %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 = {})
2025-03-21T20:27:06.9255997Z       %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 = {})
2025-03-21T20:27:06.9257452Z       %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 = {})
2025-03-21T20:27:06.9258792Z       %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 = {})
2025-03-21T20:27:06.9260176Z       %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 = {})
2025-03-21T20:27:06.9261823Z       %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 = {})
2025-03-21T20:27:06.9263488Z       %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 = {})
2025-03-21T20:27:06.9264908Z       %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 = {})
2025-03-21T20:27:06.9266337Z       %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 = {})
2025-03-21T20:27:06.9267765Z       %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 = {})
2025-03-21T20:27:06.9269199Z       %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 = {})
2025-03-21T20:27:06.9270629Z       %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 = {})
2025-03-21T20:27:06.9272057Z       %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 = {})
2025-03-21T20:27:06.9273475Z       %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 = {})
2025-03-21T20:27:06.9274950Z       %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 = {})
2025-03-21T20:27:06.9276378Z       %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 = {})
2025-03-21T20:27:06.9277802Z       %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 = {})
2025-03-21T20:27:06.9279228Z       %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 = {})
2025-03-21T20:27:06.9280606Z       %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 = {})
2025-03-21T20:27:06.9281912Z       %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 = {})
2025-03-21T20:27:06.9283332Z       %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 = {})
2025-03-21T20:27:06.9284646Z       %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 = {})
2025-03-21T20:27:06.9285958Z       %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 = {})
2025-03-21T20:27:06.9287269Z       %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 = {})
2025-03-21T20:27:06.9288607Z       %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 = {})
2025-03-21T20:27:06.9289926Z       %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 = {})
2025-03-21T20:27:06.9291245Z       %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 = {})
2025-03-21T20:27:06.9292556Z       %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 = {})
2025-03-21T20:27:06.9293876Z       %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 = {})
2025-03-21T20:27:06.9295197Z       %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 = {})
2025-03-21T20:27:06.9296479Z       %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 = {})
2025-03-21T20:27:06.9297748Z       %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 = {})
2025-03-21T20:27:06.9299020Z       %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 = {})
2025-03-21T20:27:06.9300352Z       %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 = {})
2025-03-21T20:27:06.9301633Z       %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 = {})
2025-03-21T20:27:06.9302906Z       %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 = {})
2025-03-21T20:27:06.9304170Z       %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 = {})
2025-03-21T20:27:06.9305449Z       %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 = {})
2025-03-21T20:27:06.9306718Z       %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 = {})
2025-03-21T20:27:06.9308021Z       %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 = {})
2025-03-21T20:27:06.9309303Z       %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 = {})
2025-03-21T20:27:06.9310571Z       %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 = {})
2025-03-21T20:27:06.9312769Z       %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 = {})
2025-03-21T20:27:06.9315006Z       %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 = {})
2025-03-21T20:27:06.9316386Z       %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 = {})
2025-03-21T20:27:06.9317850Z       %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 = {})
2025-03-21T20:27:06.9319271Z       %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 = {})
2025-03-21T20:27:06.9320566Z       %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 = {})
2025-03-21T20:27:06.9321844Z       %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 = {})
2025-03-21T20:27:06.9323277Z       %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 = {})
2025-03-21T20:27:06.9324910Z       %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 = {})
2025-03-21T20:27:06.9326310Z       %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 = {})
2025-03-21T20:27:06.9327713Z       %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 = {})
2025-03-21T20:27:06.9329153Z       %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 = {})
2025-03-21T20:27:06.9330858Z       %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 = {})
2025-03-21T20:27:06.9332530Z       %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 = {})
2025-03-21T20:27:06.9333985Z       %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 = {})
2025-03-21T20:27:06.9335307Z       %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 = {})
2025-03-21T20:27:06.9336728Z       %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 = {})
2025-03-21T20:27:06.9338200Z       %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 = {})
2025-03-21T20:27:06.9339629Z       %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 = {})
2025-03-21T20:27:06.9341061Z       %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 = {})
2025-03-21T20:27:06.9342521Z       %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 = {})
2025-03-21T20:27:06.9344339Z       %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 = {})
2025-03-21T20:27:06.9346268Z       %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 = {})
2025-03-21T20:27:06.9347952Z       %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 = {})
2025-03-21T20:27:06.9349400Z       %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 = {})
2025-03-21T20:27:06.9350877Z       %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 = {})
2025-03-21T20:27:06.9352223Z       %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 = {})
2025-03-21T20:27:06.9353523Z       %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 = {})
2025-03-21T20:27:06.9354833Z       %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 = {})
2025-03-21T20:27:06.9356152Z       %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 = {})
2025-03-21T20:27:06.9357488Z       %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 = {})
2025-03-21T20:27:06.9358940Z       %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 = {})
2025-03-21T20:27:06.9360642Z       %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 = {})
2025-03-21T20:27:06.9362323Z       %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 = {})
2025-03-21T20:27:06.9363783Z       %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 = {})
2025-03-21T20:27:06.9365131Z       %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 = {})
2025-03-21T20:27:06.9366578Z       %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 = {})
2025-03-21T20:27:06.9368078Z       %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 = {})
2025-03-21T20:27:06.9369479Z       %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 = {})
2025-03-21T20:27:06.9370866Z       %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 = {})
2025-03-21T20:27:06.9372293Z       %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 = {})
2025-03-21T20:27:06.9373764Z       %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 = {})
2025-03-21T20:27:06.9375233Z       %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 = {})
2025-03-21T20:27:06.9376986Z       %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 = {})
2025-03-21T20:27:06.9378899Z       %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 = {})
2025-03-21T20:27:06.9380806Z       %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 = {})
2025-03-21T20:27:06.9382482Z       %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 = {})
2025-03-21T20:27:06.9383937Z       %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 = {})
2025-03-21T20:27:06.9385414Z       %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 = {})
2025-03-21T20:27:06.9386817Z       %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 = {})
2025-03-21T20:27:06.9388163Z       %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 = {})
2025-03-21T20:27:06.9389517Z       %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 = {})
2025-03-21T20:27:06.9390914Z       %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 = {})
2025-03-21T20:27:06.9392285Z       %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 = {})
2025-03-21T20:27:06.9393643Z       %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 = {})
2025-03-21T20:27:06.9395023Z       %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 = {})
2025-03-21T20:27:06.9396412Z       %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 = {})
2025-03-21T20:27:06.9398026Z       %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 = {})
2025-03-21T20:27:06.9399609Z       %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 = {})
2025-03-21T20:27:06.9401019Z       %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 = {})
2025-03-21T20:27:06.9402450Z       %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 = {})
2025-03-21T20:27:06.9403789Z       %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 = {})
2025-03-21T20:27:06.9405170Z       %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 = {})
2025-03-21T20:27:06.9406592Z       %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 = {})
2025-03-21T20:27:06.9408022Z       %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 = {})
2025-03-21T20:27:06.9409481Z       %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 = {})
2025-03-21T20:27:06.9410891Z       %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 = {})
2025-03-21T20:27:06.9412312Z       %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 = {})
2025-03-21T20:27:06.9413736Z       %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 = {})
2025-03-21T20:27:06.9415190Z       %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 = {})
2025-03-21T20:27:06.9416612Z       %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 = {})
2025-03-21T20:27:06.9418031Z       %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 = {})
2025-03-21T20:27:06.9419459Z       %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 = {})
2025-03-21T20:27:06.9420882Z       %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 = {})
2025-03-21T20:27:06.9422256Z       %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 = {})
2025-03-21T20:27:06.9423580Z       %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 = {})
2025-03-21T20:27:06.9425024Z       %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 = {})
2025-03-21T20:27:06.9426339Z       %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 = {})
2025-03-21T20:27:06.9427768Z       %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 = {})
2025-03-21T20:27:06.9429093Z       %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 = {})
2025-03-21T20:27:06.9430410Z       %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 = {})
2025-03-21T20:27:06.9431720Z       %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 = {})
2025-03-21T20:27:06.9433038Z       %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 = {})
2025-03-21T20:27:06.9434348Z       %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 = {})
2025-03-21T20:27:06.9435711Z       %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 = {})
2025-03-21T20:27:06.9437024Z       %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 = {})
2025-03-21T20:27:06.9438340Z       %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 = {})
2025-03-21T20:27:06.9439660Z       %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 = {})
2025-03-21T20:27:06.9441020Z       %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 = {})
2025-03-21T20:27:06.9442324Z       %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 = {})
2025-03-21T20:27:06.9443747Z       %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 = {})
2025-03-21T20:27:06.9445105Z       %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 = {})
2025-03-21T20:27:06.9446464Z       %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 = {})
2025-03-21T20:27:06.9447828Z       %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 = {})
2025-03-21T20:27:06.9449190Z       %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 = {})
2025-03-21T20:27:06.9450543Z       %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 = {})
2025-03-21T20:27:06.9451957Z       %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 = {})
2025-03-21T20:27:06.9453314Z       %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 = {})
2025-03-21T20:27:06.9454637Z       %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 = {})
2025-03-21T20:27:06.9455921Z       %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 = {})
2025-03-21T20:27:06.9457194Z       %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 = {})
2025-03-21T20:27:06.9458481Z       %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 = {})
2025-03-21T20:27:06.9459767Z       %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 = {})
2025-03-21T20:27:06.9461079Z       %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 = {})
2025-03-21T20:27:06.9462358Z       %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 = {})
2025-03-21T20:27:06.9463634Z       %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 = {})
2025-03-21T20:27:06.9464913Z       %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 = {})
2025-03-21T20:27:06.9466229Z       %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 = {})
2025-03-21T20:27:06.9467514Z       %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 = {})
2025-03-21T20:27:06.9468797Z       %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 = {})
2025-03-21T20:27:06.9470067Z       %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 = {})
2025-03-21T20:27:06.9471315Z       %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 = {})
2025-03-21T20:27:06.9472570Z       %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 = {})
2025-03-21T20:27:06.9473818Z       %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 = {})
2025-03-21T20:27:06.9476014Z       %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 = {})
2025-03-21T20:27:06.9478261Z       %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 = {})
2025-03-21T20:27:06.9479623Z       %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 = {})
2025-03-21T20:27:06.9480979Z       %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 = {})
2025-03-21T20:27:06.9482333Z       %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 = {})
2025-03-21T20:27:06.9483740Z       %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 = {})
2025-03-21T20:27:06.9485194Z       %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 = {})
2025-03-21T20:27:06.9486688Z       %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 = {})
2025-03-21T20:27:06.9488101Z       %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 = {})
2025-03-21T20:27:06.9489429Z       %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 = {})
2025-03-21T20:27:06.9490839Z       %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 = {})
2025-03-21T20:27:06.9492459Z       %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 = {})
2025-03-21T20:27:06.9494086Z       %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 = {})
2025-03-21T20:27:06.9495517Z       %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 = {})
2025-03-21T20:27:06.9496955Z       %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 = {})
2025-03-21T20:27:06.9498388Z       %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 = {})
2025-03-21T20:27:06.9499812Z       %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 = {})
2025-03-21T20:27:06.9501241Z       %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 = {})
2025-03-21T20:27:06.9502718Z       %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 = {})
2025-03-21T20:27:06.9504149Z       %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 = {})
2025-03-21T20:27:06.9505578Z       %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 = {})
2025-03-21T20:27:06.9507008Z       %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 = {})
2025-03-21T20:27:06.9508439Z       %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 = {})
2025-03-21T20:27:06.9509856Z       %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 = {})
2025-03-21T20:27:06.9511256Z       %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 = {})
2025-03-21T20:27:06.9512576Z       %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 = {})
2025-03-21T20:27:06.9513893Z       %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 = {})
2025-03-21T20:27:06.9515217Z       %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 = {})
2025-03-21T20:27:06.9516558Z       %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 = {})
2025-03-21T20:27:06.9517870Z       %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 = {})
2025-03-21T20:27:06.9519186Z       %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 = {})
2025-03-21T20:27:06.9520494Z       %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 = {})
2025-03-21T20:27:06.9521812Z       %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 = {})
2025-03-21T20:27:06.9523188Z       %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 = {})
2025-03-21T20:27:06.9524609Z       %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 = {})
2025-03-21T20:27:06.9525911Z       %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 = {})
2025-03-21T20:27:06.9527209Z       %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 = {})
2025-03-21T20:27:06.9528609Z       %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 = {})
2025-03-21T20:27:06.9529902Z       %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 = {})
2025-03-21T20:27:06.9531183Z       %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 = {})
2025-03-21T20:27:06.9532462Z       %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 = {})
2025-03-21T20:27:06.9533743Z       %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 = {})
2025-03-21T20:27:06.9535026Z       %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 = {})
2025-03-21T20:27:06.9536461Z       %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 = {})
2025-03-21T20:27:06.9537748Z       %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 = {})
2025-03-21T20:27:06.9539018Z       %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 = {})
2025-03-21T20:27:06.9540309Z       %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 = {})
2025-03-21T20:27:06.9541633Z       %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 = {})
2025-03-21T20:27:06.9543826Z       %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 = {})
2025-03-21T20:27:06.9546039Z       %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 = {})
2025-03-21T20:27:06.9547433Z       %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 = {})
2025-03-21T20:27:06.9548906Z       %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 = {})
2025-03-21T20:27:06.9550328Z       %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 = {})
2025-03-21T20:27:06.9551629Z       %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 = {})
2025-03-21T20:27:06.9552969Z       %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 = {})
2025-03-21T20:27:06.9554341Z       %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 = {})
2025-03-21T20:27:06.9555758Z       %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 = {})
2025-03-21T20:27:06.9557156Z       %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 = {})
2025-03-21T20:27:06.9558555Z       %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 = {})
2025-03-21T20:27:06.9559991Z       %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 = {})
2025-03-21T20:27:06.9561716Z       %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 = {})
2025-03-21T20:27:06.9563461Z       %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 = {})
2025-03-21T20:27:06.9564865Z       %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 = {})
2025-03-21T20:27:06.9566199Z       %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 = {})
2025-03-21T20:27:06.9567657Z       %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 = {})
2025-03-21T20:27:06.9569125Z       %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 = {})
2025-03-21T20:27:06.9570514Z       %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 = {})
2025-03-21T20:27:06.9571947Z       %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 = {})
2025-03-21T20:27:06.9573426Z       %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 = {})
2025-03-21T20:27:06.9575132Z       %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 = {})
2025-03-21T20:27:06.9577053Z       %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 = {})
2025-03-21T20:27:06.9578786Z       %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 = {})
2025-03-21T20:27:06.9580242Z       %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 = {})
2025-03-21T20:27:06.9581643Z       %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 = {})
2025-03-21T20:27:06.9582972Z       %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 = {})
2025-03-21T20:27:06.9584281Z       %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 = {})
2025-03-21T20:27:06.9585597Z       %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 = {})
2025-03-21T20:27:06.9586939Z       %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 = {})
2025-03-21T20:27:06.9588274Z       %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 = {})
2025-03-21T20:27:06.9589694Z       %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 = {})
2025-03-21T20:27:06.9591394Z       %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 = {})
2025-03-21T20:27:06.9593107Z       %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 = {})
2025-03-21T20:27:06.9594506Z       %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 = {})
2025-03-21T20:27:06.9595827Z       %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 = {})
2025-03-21T20:27:06.9597281Z       %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 = {})
2025-03-21T20:27:06.9598787Z       %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 = {})
2025-03-21T20:27:06.9600174Z       %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 = {})
2025-03-21T20:27:06.9601571Z       %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 = {})
2025-03-21T20:27:06.9603070Z       %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 = {})
2025-03-21T20:27:06.9604611Z       %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 = {})
2025-03-21T20:27:06.9606088Z       %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 = {})
2025-03-21T20:27:06.9607782Z       %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 = {})
2025-03-21T20:27:06.9609691Z       %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 = {})
2025-03-21T20:27:06.9611599Z       %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 = {})
2025-03-21T20:27:06.9613300Z       %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 = {})
2025-03-21T20:27:06.9614752Z       %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 = {})
2025-03-21T20:27:06.9616202Z       %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 = {})
2025-03-21T20:27:06.9617603Z       %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 = {})
2025-03-21T20:27:06.9618986Z       %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 = {})
2025-03-21T20:27:06.9620323Z       %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 = {})
2025-03-21T20:27:06.9621663Z       %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 = {})
2025-03-21T20:27:06.9623038Z       %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 = {})
2025-03-21T20:27:06.9624567Z       %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 = {})
2025-03-21T20:27:06.9625949Z       %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 = {})
2025-03-21T20:27:06.9627342Z       %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 = {})
2025-03-21T20:27:06.9628955Z       %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 = {})
2025-03-21T20:27:06.9630625Z       %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 = {})
2025-03-21T20:27:06.9631972Z       %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 = {})
2025-03-21T20:27:06.9633308Z       %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 = {})
2025-03-21T20:27:06.9634641Z       %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 = {})
2025-03-21T20:27:06.9636033Z       %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 = {})
2025-03-21T20:27:06.9637469Z       %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 = {})
2025-03-21T20:27:06.9638929Z       %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 = {})
2025-03-21T20:27:06.9640347Z       %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 = {})
2025-03-21T20:27:06.9641778Z       %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 = {})
2025-03-21T20:27:06.9643265Z       %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 = {})
2025-03-21T20:27:06.9644735Z       %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 = {})
2025-03-21T20:27:06.9646165Z       %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 = {})
2025-03-21T20:27:06.9647596Z       %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 = {})
2025-03-21T20:27:06.9649033Z       %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 = {})
2025-03-21T20:27:06.9650472Z       %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 = {})
2025-03-21T20:27:06.9651899Z       %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 = {})
2025-03-21T20:27:06.9653273Z       %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 = {})
2025-03-21T20:27:06.9654592Z       %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 = {})
2025-03-21T20:27:06.9655956Z       %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 = {})
2025-03-21T20:27:06.9657261Z       %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 = {})
2025-03-21T20:27:06.9658571Z       %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 = {})
2025-03-21T20:27:06.9659882Z       %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 = {})
2025-03-21T20:27:06.9661199Z       %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 = {})
2025-03-21T20:27:06.9662513Z       %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 = {})
2025-03-21T20:27:06.9663849Z       %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 = {})
2025-03-21T20:27:06.9665161Z       %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 = {})
2025-03-21T20:27:06.9666476Z       %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 = {})
2025-03-21T20:27:06.9667797Z       %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 = {})
2025-03-21T20:27:06.9669137Z       %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 = {})
2025-03-21T20:27:06.9670457Z       %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 = {})
2025-03-21T20:27:06.9671758Z       %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 = {})
2025-03-21T20:27:06.9673069Z       %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 = {})
2025-03-21T20:27:06.9686020Z       %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 = {})
2025-03-21T20:27:06.9687539Z       %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 = {})
2025-03-21T20:27:06.9688903Z       %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 = {})
2025-03-21T20:27:06.9690258Z       %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 = {})
2025-03-21T20:27:06.9691722Z       %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 = {})
2025-03-21T20:27:06.9693081Z       %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 = {})
2025-03-21T20:27:06.9694443Z       %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 = {})
2025-03-21T20:27:06.9695798Z       %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 = {})
2025-03-21T20:27:06.9697123Z       %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 = {})
2025-03-21T20:27:06.9698420Z       %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 = {})
2025-03-21T20:27:06.9699706Z       %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 = {})
2025-03-21T20:27:06.9701019Z       %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 = {})
2025-03-21T20:27:06.9702305Z       %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 = {})
2025-03-21T20:27:06.9703584Z       %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 = {})
2025-03-21T20:27:06.9704869Z       %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 = {})
2025-03-21T20:27:06.9706168Z       %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 = {})
2025-03-21T20:27:06.9707450Z       %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 = {})
2025-03-21T20:27:06.9708737Z       %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 = {})
2025-03-21T20:27:06.9710019Z       %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 = {})
2025-03-21T20:27:06.9711315Z       %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 = {})
2025-03-21T20:27:06.9712592Z       %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 = {})
2025-03-21T20:27:06.9713851Z       %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 = {})
2025-03-21T20:27:06.9715105Z       %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 = {})
2025-03-21T20:27:06.9716359Z       %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 = {})
2025-03-21T20:27:06.9718585Z       %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 = {})
2025-03-21T20:27:06.9720821Z       %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 = {})
2025-03-21T20:27:06.9722182Z       %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 = {})
2025-03-21T20:27:06.9723632Z       %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 = {})
2025-03-21T20:27:06.9725183Z       %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 = {})
2025-03-21T20:27:06.9726606Z       %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 = {})
2025-03-21T20:27:06.9728035Z       %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 = {})
2025-03-21T20:27:06.9729521Z       %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 = {})
2025-03-21T20:27:06.9730974Z       %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 = {})
2025-03-21T20:27:06.9732302Z       %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 = {})
2025-03-21T20:27:06.9733687Z       %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 = {})
2025-03-21T20:27:06.9735316Z       %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 = {})
2025-03-21T20:27:06.9736951Z       %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 = {})
2025-03-21T20:27:06.9738385Z       %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 = {})
2025-03-21T20:27:06.9739811Z       %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 = {})
2025-03-21T20:27:06.9741236Z       %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 = {})
2025-03-21T20:27:06.9742731Z       %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 = {})
2025-03-21T20:27:06.9744150Z       %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 = {})
2025-03-21T20:27:06.9745579Z       %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 = {})
2025-03-21T20:27:06.9747012Z       %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 = {})
2025-03-21T20:27:06.9748436Z       %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 = {})
2025-03-21T20:27:06.9749862Z       %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 = {})
2025-03-21T20:27:06.9751314Z       %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 = {})
2025-03-21T20:27:06.9752742Z       %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 = {})
2025-03-21T20:27:06.9754116Z       %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 = {})
2025-03-21T20:27:06.9755443Z       %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 = {})
2025-03-21T20:27:06.9756792Z       %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 = {})
2025-03-21T20:27:06.9758103Z       %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 = {})
2025-03-21T20:27:06.9759402Z       %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 = {})
2025-03-21T20:27:06.9760714Z       %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 = {})
2025-03-21T20:27:06.9762031Z       %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 = {})
2025-03-21T20:27:06.9763430Z       %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 = {})
2025-03-21T20:27:06.9764749Z       %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 = {})
2025-03-21T20:27:06.9766065Z       %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 = {})
2025-03-21T20:27:06.9767384Z       %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 = {})
2025-03-21T20:27:06.9768754Z       %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 = {})
2025-03-21T20:27:06.9770059Z       %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 = {})
2025-03-21T20:27:06.9771344Z       %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 = {})
2025-03-21T20:27:06.9772625Z       %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 = {})
2025-03-21T20:27:06.9773901Z       %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 = {})
2025-03-21T20:27:06.9775185Z       %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 = {})
2025-03-21T20:27:06.9776505Z       %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 = {})
2025-03-21T20:27:06.9777786Z       %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 = {})
2025-03-21T20:27:06.9779142Z       %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 = {})
2025-03-21T20:27:06.9780428Z       %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 = {})
2025-03-21T20:27:06.9781734Z       %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 = {})
2025-03-21T20:27:06.9783019Z       %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 = {})
2025-03-21T20:27:06.9784310Z       %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 = {})
2025-03-21T20:27:06.9786497Z       %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 = {})
2025-03-21T20:27:06.9788716Z       %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 = {})
2025-03-21T20:27:06.9790110Z       %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 = {})
2025-03-21T20:27:06.9791583Z       %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 = {})
2025-03-21T20:27:06.9793066Z       %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 = {})
2025-03-21T20:27:06.9794360Z       %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 = {})
2025-03-21T20:27:06.9795648Z       %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 = {})
2025-03-21T20:27:06.9797017Z       %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 = {})
2025-03-21T20:27:06.9798438Z       %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 = {})
2025-03-21T20:27:06.9799847Z       %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 = {})
2025-03-21T20:27:06.9801281Z       %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 = {})
2025-03-21T20:27:06.9802786Z       %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 = {})
2025-03-21T20:27:06.9804481Z       %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 = {})
2025-03-21T20:27:06.9806168Z       %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 = {})
2025-03-21T20:27:06.9807638Z       %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 = {})
2025-03-21T20:27:06.9808958Z       %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 = {})
2025-03-21T20:27:06.9810376Z       %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 = {})
2025-03-21T20:27:06.9811854Z       %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 = {})
2025-03-21T20:27:06.9813255Z       %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 = {})
2025-03-21T20:27:06.9814692Z       %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 = {})
2025-03-21T20:27:06.9816165Z       %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 = {})
2025-03-21T20:27:06.9817863Z       %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 = {})
2025-03-21T20:27:06.9819842Z       %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 = {})
2025-03-21T20:27:06.9821538Z       %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 = {})
2025-03-21T20:27:06.9822989Z       %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 = {})
2025-03-21T20:27:06.9824514Z       %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 = {})
2025-03-21T20:27:06.9825860Z       %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 = {})
2025-03-21T20:27:06.9827217Z       %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 = {})
2025-03-21T20:27:06.9828529Z       %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 = {})
2025-03-21T20:27:06.9829849Z       %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 = {})
2025-03-21T20:27:06.9831182Z       %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 = {})
2025-03-21T20:27:06.9832634Z       %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 = {})
2025-03-21T20:27:06.9834335Z       %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 = {})
2025-03-21T20:27:06.9836020Z       %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 = {})
2025-03-21T20:27:06.9837414Z       %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 = {})
2025-03-21T20:27:06.9838744Z       %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 = {})
2025-03-21T20:27:06.9840196Z       %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 = {})
2025-03-21T20:27:06.9841706Z       %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 = {})
2025-03-21T20:27:06.9843170Z       %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 = {})
2025-03-21T20:27:06.9844643Z       %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 = {})
2025-03-21T20:27:06.9846078Z       %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 = {})
2025-03-21T20:27:06.9847681Z       %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 = {})
2025-03-21T20:27:06.9849156Z       %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 = {})
2025-03-21T20:27:06.9850857Z       %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 = {})
2025-03-21T20:27:06.9852797Z       %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 = {})
2025-03-21T20:27:06.9854698Z       %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 = {})
2025-03-21T20:27:06.9856368Z       %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 = {})
2025-03-21T20:27:06.9857822Z       %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 = {})
2025-03-21T20:27:06.9859297Z       %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 = {})
2025-03-21T20:27:06.9860692Z       %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 = {})
2025-03-21T20:27:06.9862037Z       %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 = {})
2025-03-21T20:27:06.9863380Z       %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 = {})
2025-03-21T20:27:06.9864737Z       %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 = {})
2025-03-21T20:27:06.9866113Z       %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 = {})
2025-03-21T20:27:06.9867474Z       %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 = {})
2025-03-21T20:27:06.9868857Z       %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 = {})
2025-03-21T20:27:06.9870322Z       %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 = {})
2025-03-21T20:27:06.9871937Z       %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 = {})
2025-03-21T20:27:06.9873517Z       %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 = {})
2025-03-21T20:27:06.9874846Z       %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 = {})
2025-03-21T20:27:06.9876185Z       %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 = {})
2025-03-21T20:27:06.9877518Z       %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 = {})
2025-03-21T20:27:06.9878914Z       %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 = {})
2025-03-21T20:27:06.9880341Z       %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 = {})
2025-03-21T20:27:06.9881764Z       %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 = {})
2025-03-21T20:27:06.9883258Z       %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 = {})
2025-03-21T20:27:06.9884711Z       %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 = {})
2025-03-21T20:27:06.9886129Z       %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 = {})
2025-03-21T20:27:06.9887547Z       %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 = {})
2025-03-21T20:27:06.9888973Z       %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 = {})
2025-03-21T20:27:06.9890393Z       %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 = {})
2025-03-21T20:27:06.9891805Z       %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 = {})
2025-03-21T20:27:06.9893222Z       %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 = {})
2025-03-21T20:27:06.9894647Z       %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 = {})
2025-03-21T20:27:06.9896069Z       %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 = {})
2025-03-21T20:27:06.9897384Z       %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 = {})
2025-03-21T20:27:06.9898689Z       %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 = {})
2025-03-21T20:27:06.9899995Z       %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 = {})
2025-03-21T20:27:06.9901303Z       %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 = {})
2025-03-21T20:27:06.9902608Z       %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 = {})
2025-03-21T20:27:06.9903933Z       %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 = {})
2025-03-21T20:27:06.9905238Z       %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 = {})
2025-03-21T20:27:06.9906525Z       %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 = {})
2025-03-21T20:27:06.9907825Z       %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 = {})
2025-03-21T20:27:06.9909144Z       %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 = {})
2025-03-21T20:27:06.9910445Z       %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 = {})
2025-03-21T20:27:06.9911745Z       %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 = {})
2025-03-21T20:27:06.9913041Z       %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 = {})
2025-03-21T20:27:06.9914339Z       %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 = {})
2025-03-21T20:27:06.9915641Z       %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 = {})
2025-03-21T20:27:06.9916971Z       %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 = {})
2025-03-21T20:27:06.9918319Z       %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 = {})
2025-03-21T20:27:06.9919721Z       %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 = {})
2025-03-21T20:27:06.9921063Z       %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 = {})
2025-03-21T20:27:06.9922474Z       %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 = {})
2025-03-21T20:27:06.9923817Z       %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 = {})
2025-03-21T20:27:06.9925333Z       %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 = {})
2025-03-21T20:27:06.9926678Z       %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 = {})
2025-03-21T20:27:06.9928052Z       %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 = {})
2025-03-21T20:27:06.9929328Z       %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 = {})
2025-03-21T20:27:06.9930592Z       %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 = {})
2025-03-21T20:27:06.9931861Z       %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 = {})
2025-03-21T20:27:06.9933137Z       %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 = {})
2025-03-21T20:27:06.9934446Z       %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 = {})
2025-03-21T20:27:06.9935713Z       %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 = {})
2025-03-21T20:27:06.9936970Z       %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 = {})
2025-03-21T20:27:06.9938242Z       %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 = {})
2025-03-21T20:27:06.9939519Z       %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 = {})
2025-03-21T20:27:06.9940790Z       %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 = {})
2025-03-21T20:27:06.9942063Z       %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 = {})
2025-03-21T20:27:06.9943325Z       %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 = {})
2025-03-21T20:27:06.9944634Z       %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 = {})
2025-03-21T20:27:06.9945883Z       %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 = {})
2025-03-21T20:27:06.9947129Z       %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 = {})
2025-03-21T20:27:06.9949405Z       %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 = {})
2025-03-21T20:27:06.9951621Z       %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 = {})
2025-03-21T20:27:06.9953002Z       %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 = {})
2025-03-21T20:27:06.9954339Z       %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 = {})
2025-03-21T20:27:06.9955683Z       %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 = {})
2025-03-21T20:27:06.9957021Z       %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 = {})
2025-03-21T20:27:06.9958461Z       %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 = {})
2025-03-21T20:27:06.9959943Z       %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 = {})
2025-03-21T20:27:06.9961346Z       %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 = {})
2025-03-21T20:27:06.9962742Z       %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 = {})
2025-03-21T20:27:06.9964125Z       %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 = {})
2025-03-21T20:27:06.9965759Z       %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 = {})
2025-03-21T20:27:06.9967375Z       %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 = {})
2025-03-21T20:27:06.9968800Z       %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 = {})
2025-03-21T20:27:06.9970684Z       %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 = {})
2025-03-21T20:27:06.9972111Z       %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 = {})
2025-03-21T20:27:06.9973520Z       %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 = {})
2025-03-21T20:27:06.9974937Z       %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 = {})
2025-03-21T20:27:06.9976347Z       %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 = {})
2025-03-21T20:27:06.9977763Z       %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 = {})
2025-03-21T20:27:06.9979204Z       %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 = {})
2025-03-21T20:27:06.9980619Z       %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 = {})
2025-03-21T20:27:06.9982036Z       %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 = {})
2025-03-21T20:27:06.9983455Z       %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 = {})
2025-03-21T20:27:06.9984837Z       %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 = {})
2025-03-21T20:27:06.9986144Z       %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 = {})
2025-03-21T20:27:06.9987445Z       %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 = {})
2025-03-21T20:27:06.9988746Z       %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 = {})
2025-03-21T20:27:06.9990038Z       %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 = {})
2025-03-21T20:27:06.9991345Z       %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 = {})
2025-03-21T20:27:06.9992646Z       %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 = {})
2025-03-21T20:27:06.9993945Z       %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 = {})
2025-03-21T20:27:06.9995270Z       %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 = {})
2025-03-21T20:27:06.9996596Z       %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 = {})
2025-03-21T20:27:06.9997894Z       %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 = {})
2025-03-21T20:27:06.9999193Z       %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 = {})
2025-03-21T20:27:07.0000481Z       %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 = {})
2025-03-21T20:27:07.0001757Z       %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 = {})
2025-03-21T20:27:07.0003097Z       %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 = {})
2025-03-21T20:27:07.0004388Z       %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 = {})
2025-03-21T20:27:07.0005660Z       %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 = {})
2025-03-21T20:27:07.0006927Z       %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 = {})
2025-03-21T20:27:07.0008196Z       %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 = {})
2025-03-21T20:27:07.0009489Z       %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 = {})
2025-03-21T20:27:07.0010759Z       %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 = {})
2025-03-21T20:27:07.0012030Z       %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 = {})
2025-03-21T20:27:07.0013295Z       %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 = {})
2025-03-21T20:27:07.0014575Z       %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 = {})
2025-03-21T20:27:07.0016752Z       %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 = {})
2025-03-21T20:27:07.0018961Z       %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 = {})
2025-03-21T20:27:07.0020395Z       %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 = {})
2025-03-21T20:27:07.0021862Z       %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 = {})
2025-03-21T20:27:07.0023270Z       %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 = {})
2025-03-21T20:27:07.0024716Z       %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 = {})
2025-03-21T20:27:07.0025997Z       %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 = {})
2025-03-21T20:27:07.0026678Z       %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 = {})
2025-03-21T20:27:07.0027373Z       %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 = {})
2025-03-21T20:27:07.0028018Z       %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 = {})
2025-03-21T20:27:07.0028658Z       %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 = {})
2025-03-21T20:27:07.0029352Z       %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 = {})
2025-03-21T20:27:07.0030287Z       %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 = {})
2025-03-21T20:27:07.0030963Z       %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 = {})
2025-03-21T20:27:07.0031569Z       %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 = {})
2025-03-21T20:27:07.0032168Z       %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 = {})
2025-03-21T20:27:07.0032890Z       %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 = {})
2025-03-21T20:27:07.0033541Z       %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 = {})
2025-03-21T20:27:07.0034177Z       %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 = {})
2025-03-21T20:27:07.0034859Z       %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 = {})
2025-03-21T20:27:07.0035599Z       %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 = {})
2025-03-21T20:27:07.0036513Z       %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 = {})
2025-03-21T20:27:07.0037413Z       %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 = {})
2025-03-21T20:27:07.0038082Z       %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 = {})
2025-03-21T20:27:07.0038748Z       %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 = {})
2025-03-21T20:27:07.0039392Z       %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 = {})
2025-03-21T20:27:07.0040002Z       %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 = {})
2025-03-21T20:27:07.0040588Z       %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 = {})
2025-03-21T20:27:07.0041204Z       %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 = {})
2025-03-21T20:27:07.0041844Z       %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 = {})
2025-03-21T20:27:07.0042541Z       %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 = {})
2025-03-21T20:27:07.0043222Z       %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 = {})
2025-03-21T20:27:07.0044123Z       %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 = {})
2025-03-21T20:27:07.0044799Z       %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 = {})
2025-03-21T20:27:07.0045409Z       %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 = {})
2025-03-21T20:27:07.0046004Z       %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 = {})
2025-03-21T20:27:07.0046746Z       %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 = {})
2025-03-21T20:27:07.0047451Z       %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 = {})
2025-03-21T20:27:07.0048095Z       %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 = {})
2025-03-21T20:27:07.0048743Z       %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 = {})
2025-03-21T20:27:07.0049422Z       %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 = {})
2025-03-21T20:27:07.0050113Z       %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 = {})
2025-03-21T20:27:07.0050789Z       %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 = {})
2025-03-21T20:27:07.0051726Z       %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 = {})
2025-03-21T20:27:07.0052624Z       %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 = {})
2025-03-21T20:27:07.0053536Z       %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 = {})
2025-03-21T20:27:07.0054230Z       %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 = {})
2025-03-21T20:27:07.0054907Z       %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 = {})
2025-03-21T20:27:07.0055572Z       %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 = {})
2025-03-21T20:27:07.0056200Z       %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 = {})
2025-03-21T20:27:07.0056812Z       %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 = {})
2025-03-21T20:27:07.0057440Z       %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 = {})
2025-03-21T20:27:07.0058071Z       %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 = {})
2025-03-21T20:27:07.0058716Z       %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 = {})
2025-03-21T20:27:07.0059393Z       %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 = {})
2025-03-21T20:27:07.0060054Z       %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 = {})
2025-03-21T20:27:07.0060696Z       %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 = {})
2025-03-21T20:27:07.0061565Z       %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 = {})
2025-03-21T20:27:07.0062178Z       %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 = {})
2025-03-21T20:27:07.0062797Z       %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 = {})
2025-03-21T20:27:07.0063430Z       %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 = {})
2025-03-21T20:27:07.0064050Z       %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 = {})
2025-03-21T20:27:07.0064706Z       %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 = {})
2025-03-21T20:27:07.0065379Z       %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 = {})
2025-03-21T20:27:07.0066056Z       %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 = {})
2025-03-21T20:27:07.0066721Z       %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 = {})
2025-03-21T20:27:07.0067372Z       %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 = {})
2025-03-21T20:27:07.0068042Z       %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 = {})
2025-03-21T20:27:07.0068695Z       %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 = {})
2025-03-21T20:27:07.0069355Z       %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 = {})
2025-03-21T20:27:07.0070004Z       %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 = {})
2025-03-21T20:27:07.0070664Z       %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 = {})
2025-03-21T20:27:07.0071372Z       %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 = {})
2025-03-21T20:27:07.0072037Z       %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 = {})
2025-03-21T20:27:07.0072634Z       %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 = {})
2025-03-21T20:27:07.0073243Z       %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 = {})
2025-03-21T20:27:07.0073843Z       %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 = {})
2025-03-21T20:27:07.0074453Z       %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 = {})
2025-03-21T20:27:07.0075074Z       %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 = {})
2025-03-21T20:27:07.0075684Z       %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 = {})
2025-03-21T20:27:07.0076277Z       %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 = {})
2025-03-21T20:27:07.0076886Z       %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 = {})
2025-03-21T20:27:07.0077508Z       %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 = {})
2025-03-21T20:27:07.0078114Z       %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 = {})
2025-03-21T20:27:07.0078707Z       %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 = {})
2025-03-21T20:27:07.0079311Z       %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 = {})
2025-03-21T20:27:07.0079911Z       %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 = {})
2025-03-21T20:27:07.0080516Z       %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 = {})
2025-03-21T20:27:07.0081110Z       %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 = {})
2025-03-21T20:27:07.0081703Z       %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 = {})
2025-03-21T20:27:07.0082454Z       %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 = {})
2025-03-21T20:27:07.0083087Z       %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 = {})
2025-03-21T20:27:07.0083724Z       %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 = {})
2025-03-21T20:27:07.0084347Z       %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 = {})
2025-03-21T20:27:07.0084982Z       %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 = {})
2025-03-21T20:27:07.0085609Z       %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 = {})
2025-03-21T20:27:07.0086279Z       %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 = {})
2025-03-21T20:27:07.0086903Z       %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 = {})
2025-03-21T20:27:07.0087497Z       %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 = {})
2025-03-21T20:27:07.0088083Z       %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 = {})
2025-03-21T20:27:07.0088698Z       %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 = {})
2025-03-21T20:27:07.0089282Z       %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 = {})
2025-03-21T20:27:07.0089871Z       %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 = {})
2025-03-21T20:27:07.0090448Z       %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 = {})
2025-03-21T20:27:07.0091042Z       %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 = {})
2025-03-21T20:27:07.0091622Z       %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 = {})
2025-03-21T20:27:07.0092215Z       %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 = {})
2025-03-21T20:27:07.0092791Z       %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 = {})
2025-03-21T20:27:07.0093384Z       %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 = {})
2025-03-21T20:27:07.0094031Z       %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 = {})
2025-03-21T20:27:07.0094620Z       %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 = {})
2025-03-21T20:27:07.0095193Z       %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 = {})
2025-03-21T20:27:07.0095777Z       %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 = {})
2025-03-21T20:27:07.0096350Z       %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 = {})
2025-03-21T20:27:07.0097878Z       %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 = {})
2025-03-21T20:27:07.0098503Z       %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 = {})
2025-03-21T20:27:07.0099136Z       %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 = {})
2025-03-21T20:27:07.0099761Z       %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 = {})
2025-03-21T20:27:07.0100417Z       %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 = {})
2025-03-21T20:27:07.0101034Z       %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 = {})
2025-03-21T20:27:07.0101736Z       %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 = {})
2025-03-21T20:27:07.0102423Z       %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 = {})
2025-03-21T20:27:07.0103047Z       %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 = {})
2025-03-21T20:27:07.0103656Z       %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 = {})
2025-03-21T20:27:07.0104327Z       %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 = {})
2025-03-21T20:27:07.0105179Z       %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 = {})
2025-03-21T20:27:07.0105899Z       %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 = {})
2025-03-21T20:27:07.0106556Z       %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 = {})
2025-03-21T20:27:07.0107221Z       %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 = {})
2025-03-21T20:27:07.0107875Z       %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 = {})
2025-03-21T20:27:07.0108540Z       %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 = {})
2025-03-21T20:27:07.0109197Z       %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 = {})
2025-03-21T20:27:07.0109929Z       %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 = {})
2025-03-21T20:27:07.0110586Z       %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 = {})
2025-03-21T20:27:07.0111250Z       %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 = {})
2025-03-21T20:27:07.0111912Z       %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 = {})
2025-03-21T20:27:07.0112604Z       %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 = {})
2025-03-21T20:27:07.0113255Z       %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 = {})
2025-03-21T20:27:07.0113863Z       %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 = {})
2025-03-21T20:27:07.0114464Z       %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 = {})
2025-03-21T20:27:07.0115076Z       %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 = {})
2025-03-21T20:27:07.0115673Z       %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 = {})
2025-03-21T20:27:07.0116279Z       %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 = {})
2025-03-21T20:27:07.0116875Z       %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 = {})
2025-03-21T20:27:07.0117534Z       %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 = {})
2025-03-21T20:27:07.0118131Z       %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 = {})
2025-03-21T20:27:07.0118743Z       %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 = {})
2025-03-21T20:27:07.0119339Z       %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 = {})
2025-03-21T20:27:07.0119945Z       %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 = {})
2025-03-21T20:27:07.0120544Z       %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 = {})
2025-03-21T20:27:07.0121169Z       %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 = {})
2025-03-21T20:27:07.0121748Z       %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 = {})
2025-03-21T20:27:07.0122392Z       %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 = {})
2025-03-21T20:27:07.0122975Z       %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 = {})
2025-03-21T20:27:07.0123572Z       %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 = {})
2025-03-21T20:27:07.0124179Z       %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 = {})
2025-03-21T20:27:07.0124897Z       %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 = {})
2025-03-21T20:27:07.0125489Z       %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 = {})
2025-03-21T20:27:07.0126069Z       %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 = {})
2025-03-21T20:27:07.0126670Z       %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 = {})
2025-03-21T20:27:07.0127254Z       %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 = {})
2025-03-21T20:27:07.0127844Z       %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 = {})
2025-03-21T20:27:07.0129385Z       %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 = {})
2025-03-21T20:27:07.0130068Z       %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 = {})
2025-03-21T20:27:07.0130741Z       %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 = {})
2025-03-21T20:27:07.0131438Z       %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 = {})
2025-03-21T20:27:07.0132066Z       %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 = {})
2025-03-21T20:27:07.0132647Z       %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 = {})
2025-03-21T20:27:07.0133272Z       %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 = {})
2025-03-21T20:27:07.0133948Z       %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 = {})
2025-03-21T20:27:07.0134595Z       %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 = {})
2025-03-21T20:27:07.0135246Z       %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 = {})
2025-03-21T20:27:07.0135976Z       %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 = {})
2025-03-21T20:27:07.0136666Z       %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 = {})
2025-03-21T20:27:07.0137566Z       %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 = {})
2025-03-21T20:27:07.0138246Z       %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 = {})
2025-03-21T20:27:07.0138862Z       %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 = {})
2025-03-21T20:27:07.0139465Z       %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 = {})
2025-03-21T20:27:07.0140182Z       %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 = {})
2025-03-21T20:27:07.0140831Z       %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 = {})
2025-03-21T20:27:07.0141520Z       %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 = {})
2025-03-21T20:27:07.0142217Z       %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 = {})
2025-03-21T20:27:07.0142895Z       %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 = {})
2025-03-21T20:27:07.0143808Z       %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 = {})
2025-03-21T20:27:07.0144713Z       %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 = {})
2025-03-21T20:27:07.0145414Z       %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 = {})
2025-03-21T20:27:07.0146082Z       %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 = {})
2025-03-21T20:27:07.0146707Z       %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 = {})
2025-03-21T20:27:07.0147320Z       %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 = {})
2025-03-21T20:27:07.0147940Z       %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 = {})
2025-03-21T20:27:07.0148552Z       %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 = {})
2025-03-21T20:27:07.0149165Z       %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 = {})
2025-03-21T20:27:07.0149788Z       %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 = {})
2025-03-21T20:27:07.0150480Z       %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 = {})
2025-03-21T20:27:07.0151384Z       %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 = {})
2025-03-21T20:27:07.0152062Z       %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 = {})
2025-03-21T20:27:07.0152674Z       %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 = {})
2025-03-21T20:27:07.0153320Z       %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 = {})
2025-03-21T20:27:07.0154071Z       %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 = {})
2025-03-21T20:27:07.0154725Z       %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 = {})
2025-03-21T20:27:07.0155363Z       %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 = {})
2025-03-21T20:27:07.0156018Z       %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 = {})
2025-03-21T20:27:07.0156698Z       %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 = {})
2025-03-21T20:27:07.0157416Z       %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 = {})
2025-03-21T20:27:07.0158092Z       %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 = {})
2025-03-21T20:27:07.0158993Z       %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 = {})
2025-03-21T20:27:07.0159915Z       %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 = {})
2025-03-21T20:27:07.0160817Z       %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 = {})
2025-03-21T20:27:07.0161480Z       %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 = {})
2025-03-21T20:27:07.0162162Z       %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 = {})
2025-03-21T20:27:07.0162890Z       %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 = {})
2025-03-21T20:27:07.0163516Z       %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 = {})
2025-03-21T20:27:07.0164128Z       %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 = {})
2025-03-21T20:27:07.0164749Z       %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 = {})
2025-03-21T20:27:07.0165436Z       %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 = {})
2025-03-21T20:27:07.0166082Z       %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 = {})
2025-03-21T20:27:07.0166712Z       %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 = {})
2025-03-21T20:27:07.0167363Z       %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 = {})
2025-03-21T20:27:07.0168007Z       %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 = {})
2025-03-21T20:27:07.0168907Z       %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 = {})
2025-03-21T20:27:07.0169520Z       %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 = {})
2025-03-21T20:27:07.0170134Z       %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 = {})
2025-03-21T20:27:07.0170741Z       %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 = {})
2025-03-21T20:27:07.0171388Z       %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 = {})
2025-03-21T20:27:07.0172047Z       %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 = {})
2025-03-21T20:27:07.0172712Z       %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 = {})
2025-03-21T20:27:07.0173365Z       %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 = {})
2025-03-21T20:27:07.0174033Z       %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 = {})
2025-03-21T20:27:07.0174690Z       %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 = {})
2025-03-21T20:27:07.0175352Z       %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 = {})
2025-03-21T20:27:07.0176004Z       %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 = {})
2025-03-21T20:27:07.0176728Z       %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 = {})
2025-03-21T20:27:07.0177382Z       %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 = {})
2025-03-21T20:27:07.0178046Z       %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 = {})
2025-03-21T20:27:07.0178698Z       %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 = {})
2025-03-21T20:27:07.0179360Z       %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 = {})
2025-03-21T20:27:07.0179962Z       %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 = {})
2025-03-21T20:27:07.0180598Z       %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 = {})
2025-03-21T20:27:07.0181194Z       %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 = {})
2025-03-21T20:27:07.0181801Z       %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 = {})
2025-03-21T20:27:07.0182393Z       %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 = {})
2025-03-21T20:27:07.0183032Z       %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 = {})
2025-03-21T20:27:07.0183629Z       %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 = {})
2025-03-21T20:27:07.0184231Z       %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 = {})
2025-03-21T20:27:07.0184823Z       %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 = {})
2025-03-21T20:27:07.0185432Z       %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 = {})
2025-03-21T20:27:07.0186026Z       %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 = {})
2025-03-21T20:27:07.0186633Z       %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 = {})
2025-03-21T20:27:07.0187229Z       %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 = {})
2025-03-21T20:27:07.0187834Z       %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 = {})
2025-03-21T20:27:07.0188489Z       %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 = {})
2025-03-21T20:27:07.0189098Z       %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 = {})
2025-03-21T20:27:07.0189726Z       %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 = {})
2025-03-21T20:27:07.0190358Z       %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 = {})
2025-03-21T20:27:07.0190982Z       %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 = {})
2025-03-21T20:27:07.0191620Z       %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 = {})
2025-03-21T20:27:07.0192269Z       %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 = {})
2025-03-21T20:27:07.0192903Z       %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 = {})
2025-03-21T20:27:07.0193525Z       %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 = {})
2025-03-21T20:27:07.0194166Z       %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 = {})
2025-03-21T20:27:07.0194770Z       %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 = {})
2025-03-21T20:27:07.0195365Z       %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 = {})
2025-03-21T20:27:07.0195946Z       %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 = {})
2025-03-21T20:27:07.0196534Z       %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 = {})
2025-03-21T20:27:07.0197116Z       %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 = {})
2025-03-21T20:27:07.0197710Z       %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 = {})
2025-03-21T20:27:07.0198286Z       %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 = {})
2025-03-21T20:27:07.0198863Z       %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 = {})
2025-03-21T20:27:07.0199452Z       %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 = {})
2025-03-21T20:27:07.0200079Z       %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 = {})
2025-03-21T20:27:07.0200673Z       %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 = {})
2025-03-21T20:27:07.0201252Z       %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 = {})
2025-03-21T20:27:07.0201837Z       %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 = {})
2025-03-21T20:27:07.0202470Z       %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 = {})
2025-03-21T20:27:07.0203062Z       %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 = {})
2025-03-21T20:27:07.0203662Z       %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 = {})
2025-03-21T20:27:07.0205156Z       %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 = {})
2025-03-21T20:27:07.0205779Z       %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 = {})
2025-03-21T20:27:07.0206433Z       %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 = {})
2025-03-21T20:27:07.0207052Z       %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 = {})
2025-03-21T20:27:07.0207679Z       %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 = {})
2025-03-21T20:27:07.0208292Z       %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 = {})
2025-03-21T20:27:07.0209001Z       %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 = {})
2025-03-21T20:27:07.0209689Z       %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 = {})
2025-03-21T20:27:07.0210315Z       %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 = {})
2025-03-21T20:27:07.0210919Z       %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 = {})
2025-03-21T20:27:07.0211638Z       %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 = {})
2025-03-21T20:27:07.0212495Z       %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 = {})
2025-03-21T20:27:07.0213165Z       %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 = {})
2025-03-21T20:27:07.0213816Z       %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 = {})
2025-03-21T20:27:07.0214486Z       %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 = {})
2025-03-21T20:27:07.0215137Z       %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 = {})
2025-03-21T20:27:07.0215824Z       %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 = {})
2025-03-21T20:27:07.0216474Z       %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 = {})
2025-03-21T20:27:07.0217133Z       %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 = {})
2025-03-21T20:27:07.0217790Z       %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 = {})
2025-03-21T20:27:07.0218488Z       %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 = {})
2025-03-21T20:27:07.0219142Z       %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 = {})
2025-03-21T20:27:07.0219805Z       %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 = {})
2025-03-21T20:27:07.0220458Z       %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 = {})
2025-03-21T20:27:07.0221069Z       %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 = {})
2025-03-21T20:27:07.0221667Z       %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 = {})
2025-03-21T20:27:07.0222274Z       %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 = {})
2025-03-21T20:27:07.0222868Z       %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 = {})
2025-03-21T20:27:07.0223519Z       %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 = {})
2025-03-21T20:27:07.0224122Z       %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 = {})
2025-03-21T20:27:07.0224891Z       %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 = {})
2025-03-21T20:27:07.0225485Z       %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 = {})
2025-03-21T20:27:07.0226093Z       %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 = {})
2025-03-21T20:27:07.0226694Z       %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 = {})
2025-03-21T20:27:07.0227357Z       %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 = {})
2025-03-21T20:27:07.0227958Z       %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 = {})
2025-03-21T20:27:07.0228552Z       %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 = {})
2025-03-21T20:27:07.0229140Z       %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 = {})
2025-03-21T20:27:07.0229773Z       %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 = {})
2025-03-21T20:27:07.0230358Z       %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 = {})
2025-03-21T20:27:07.0230951Z       %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 = {})
2025-03-21T20:27:07.0231528Z       %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 = {})
2025-03-21T20:27:07.0232122Z       %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 = {})
2025-03-21T20:27:07.0232703Z       %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 = {})
2025-03-21T20:27:07.0233297Z       %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 = {})
2025-03-21T20:27:07.0233877Z       %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 = {})
2025-03-21T20:27:07.0234472Z       %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 = {})
2025-03-21T20:27:07.0235119Z       %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 = {})
2025-03-21T20:27:07.0236615Z       %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 = {})
2025-03-21T20:27:07.0237234Z       %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 = {})
2025-03-21T20:27:07.0237913Z       %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 = {})
2025-03-21T20:27:07.0238608Z       %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 = {})
2025-03-21T20:27:07.0239262Z       %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 = {})
2025-03-21T20:27:07.0239845Z       %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 = {})
2025-03-21T20:27:07.0240455Z       %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 = {})
2025-03-21T20:27:07.0241121Z       %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 = {})
2025-03-21T20:27:07.0241808Z       %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 = {})
2025-03-21T20:27:07.0242496Z       %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 = {})
2025-03-21T20:27:07.0243164Z       %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 = {})
2025-03-21T20:27:07.0243843Z       %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 = {})
2025-03-21T20:27:07.0244756Z       %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 = {})
2025-03-21T20:27:07.0245426Z       %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 = {})
2025-03-21T20:27:07.0246052Z       %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 = {})
2025-03-21T20:27:07.0246642Z       %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 = {})
2025-03-21T20:27:07.0247426Z       %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 = {})
2025-03-21T20:27:07.0248072Z       %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 = {})
2025-03-21T20:27:07.0248720Z       %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 = {})
2025-03-21T20:27:07.0249401Z       %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 = {})
2025-03-21T20:27:07.0250092Z       %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 = {})
2025-03-21T20:27:07.0251022Z       %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 = {})
2025-03-21T20:27:07.0251935Z       %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 = {})
2025-03-21T20:27:07.0252601Z       %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 = {})
2025-03-21T20:27:07.0253280Z       %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 = {})
2025-03-21T20:27:07.0253918Z       %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 = {})
2025-03-21T20:27:07.0254543Z       %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 = {})
2025-03-21T20:27:07.0255123Z       %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 = {})
2025-03-21T20:27:07.0255753Z       %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 = {})
2025-03-21T20:27:07.0256354Z       %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 = {})
2025-03-21T20:27:07.0256990Z       %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 = {})
2025-03-21T20:27:07.0257667Z       %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 = {})
2025-03-21T20:27:07.0258580Z       %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 = {})
2025-03-21T20:27:07.0259297Z       %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 = {})
2025-03-21T20:27:07.0259927Z       %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 = {})
2025-03-21T20:27:07.0260514Z       %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 = {})
2025-03-21T20:27:07.0261266Z       %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 = {})
2025-03-21T20:27:07.0261908Z       %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 = {})
2025-03-21T20:27:07.0262611Z       %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 = {})
2025-03-21T20:27:07.0263258Z       %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 = {})
2025-03-21T20:27:07.0263944Z       %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 = {})
2025-03-21T20:27:07.0264623Z       %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 = {})
2025-03-21T20:27:07.0265343Z       %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 = {})
2025-03-21T20:27:07.0266244Z       %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 = {})
2025-03-21T20:27:07.0267152Z       %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 = {})
2025-03-21T20:27:07.0268048Z       %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 = {})
2025-03-21T20:27:07.0268731Z       %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 = {})
2025-03-21T20:27:07.0269398Z       %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 = {})
2025-03-21T20:27:07.0270071Z       %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 = {})
2025-03-21T20:27:07.0270736Z       %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 = {})
2025-03-21T20:27:07.0271370Z       %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 = {})
2025-03-21T20:27:07.0271987Z       %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 = {})
2025-03-21T20:27:07.0272630Z       %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 = {})
2025-03-21T20:27:07.0273258Z       %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 = {})
2025-03-21T20:27:07.0273903Z       %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 = {})
2025-03-21T20:27:07.0274577Z       %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 = {})
2025-03-21T20:27:07.0275231Z       %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 = {})
2025-03-21T20:27:07.0276085Z       %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 = {})
2025-03-21T20:27:07.0276708Z       %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 = {})
2025-03-21T20:27:07.0277341Z       %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 = {})
2025-03-21T20:27:07.0277959Z       %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 = {})
2025-03-21T20:27:07.0278567Z       %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 = {})
2025-03-21T20:27:07.0279232Z       %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 = {})
2025-03-21T20:27:07.0279885Z       %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 = {})
2025-03-21T20:27:07.0280556Z       %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 = {})
2025-03-21T20:27:07.0281208Z       %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 = {})
2025-03-21T20:27:07.0281869Z       %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 = {})
2025-03-21T20:27:07.0282637Z       %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 = {})
2025-03-21T20:27:07.0283310Z       %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 = {})
2025-03-21T20:27:07.0283965Z       %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 = {})
2025-03-21T20:27:07.0284632Z       %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 = {})
2025-03-21T20:27:07.0285286Z       %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 = {})
2025-03-21T20:27:07.0285961Z       %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 = {})
2025-03-21T20:27:07.0286645Z       %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 = {})
2025-03-21T20:27:07.0287266Z       %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 = {})
2025-03-21T20:27:07.0287871Z       %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 = {})
2025-03-21T20:27:07.0288474Z       %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 = {})
2025-03-21T20:27:07.0289112Z       %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 = {})
2025-03-21T20:27:07.0289708Z       %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 = {})
2025-03-21T20:27:07.0290316Z       %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 = {})
2025-03-21T20:27:07.0290908Z       %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 = {})
2025-03-21T20:27:07.0291517Z       %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 = {})
2025-03-21T20:27:07.0292114Z       %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 = {})
2025-03-21T20:27:07.0292718Z       %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 = {})
2025-03-21T20:27:07.0293309Z       %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 = {})
2025-03-21T20:27:07.0293911Z       %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 = {})
2025-03-21T20:27:07.0294596Z       %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 = {})
2025-03-21T20:27:07.0295206Z       %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 = {})
2025-03-21T20:27:07.0295795Z       %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 = {})
2025-03-21T20:27:07.0296398Z       %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 = {})
2025-03-21T20:27:07.0297032Z       %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 = {})
2025-03-21T20:27:07.0297675Z       %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 = {})
2025-03-21T20:27:07.0298322Z       %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 = {})
2025-03-21T20:27:07.0298960Z       %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 = {})
2025-03-21T20:27:07.0299587Z       %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 = {})
2025-03-21T20:27:07.0300230Z       %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 = {})
2025-03-21T20:27:07.0300886Z       %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 = {})
2025-03-21T20:27:07.0301523Z       %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 = {})
2025-03-21T20:27:07.0302104Z       %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 = {})
2025-03-21T20:27:07.0302697Z       %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 = {})
2025-03-21T20:27:07.0303280Z       %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 = {})
2025-03-21T20:27:07.0303870Z       %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 = {})
2025-03-21T20:27:07.0304447Z       %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 = {})
2025-03-21T20:27:07.0305032Z       %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 = {})
2025-03-21T20:27:07.0305668Z       %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 = {})
2025-03-21T20:27:07.0306260Z       %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 = {})
2025-03-21T20:27:07.0306840Z       %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 = {})
2025-03-21T20:27:07.0307426Z       %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 = {})
2025-03-21T20:27:07.0308005Z       %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 = {})
2025-03-21T20:27:07.0308601Z       %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 = {})
2025-03-21T20:27:07.0309175Z       %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 = {})
2025-03-21T20:27:07.0309787Z       %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 = {})
2025-03-21T20:27:07.0310359Z       %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 = {})
2025-03-21T20:27:07.0310938Z       %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 = {})
2025-03-21T20:27:07.0312425Z       %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 = {})
2025-03-21T20:27:07.0313087Z       %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 = {})
2025-03-21T20:27:07.0313707Z       %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 = {})
2025-03-21T20:27:07.0314341Z       %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 = {})
2025-03-21T20:27:07.0314965Z       %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 = {})
2025-03-21T20:27:07.0315594Z       %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 = {})
2025-03-21T20:27:07.0316288Z       %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 = {})
2025-03-21T20:27:07.0316989Z       %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 = {})
2025-03-21T20:27:07.0317651Z       %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 = {})
2025-03-21T20:27:07.0318277Z       %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 = {})
2025-03-21T20:27:07.0318936Z       %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 = {})
2025-03-21T20:27:07.0319800Z       %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 = {})
2025-03-21T20:27:07.0320459Z       %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 = {})
2025-03-21T20:27:07.0321148Z       %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 = {})
2025-03-21T20:27:07.0321797Z       %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 = {})
2025-03-21T20:27:07.0322521Z       %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 = {})
2025-03-21T20:27:07.0323178Z       %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 = {})
2025-03-21T20:27:07.0323879Z       %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 = {})
2025-03-21T20:27:07.0324664Z       %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 = {})
2025-03-21T20:27:07.0325331Z       %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 = {})
2025-03-21T20:27:07.0325981Z       %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 = {})
2025-03-21T20:27:07.0326654Z       %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 = {})
2025-03-21T20:27:07.0327310Z       %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 = {})
2025-03-21T20:27:07.0327976Z       %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 = {})
2025-03-21T20:27:07.0328574Z       %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 = {})
2025-03-21T20:27:07.0329238Z       %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 = {})
2025-03-21T20:27:07.0329872Z       %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 = {})
2025-03-21T20:27:07.0330484Z       %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 = {})
2025-03-21T20:27:07.0331080Z       %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 = {})
2025-03-21T20:27:07.0331672Z       %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 = {})
2025-03-21T20:27:07.0332278Z       %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 = {})
2025-03-21T20:27:07.0332874Z       %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 = {})
2025-03-21T20:27:07.0333508Z       %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 = {})
2025-03-21T20:27:07.0334105Z       %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 = {})
2025-03-21T20:27:07.0334706Z       %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 = {})
2025-03-21T20:27:07.0335301Z       %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 = {})
2025-03-21T20:27:07.0335926Z       %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 = {})
2025-03-21T20:27:07.0336504Z       %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 = {})
2025-03-21T20:27:07.0337105Z       %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 = {})
2025-03-21T20:27:07.0337681Z       %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 = {})
2025-03-21T20:27:07.0338275Z       %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 = {})
2025-03-21T20:27:07.0338861Z       %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 = {})
2025-03-21T20:27:07.0339454Z       %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 = {})
2025-03-21T20:27:07.0340032Z       %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 = {})
2025-03-21T20:27:07.0340626Z       %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 = {})
2025-03-21T20:27:07.0341257Z       %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 = {})
2025-03-21T20:27:07.0341852Z       %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 = {})
2025-03-21T20:27:07.0342432Z       %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 = {})
2025-03-21T20:27:07.0343928Z       %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 = {})
2025-03-21T20:27:07.0344548Z       %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 = {})
2025-03-21T20:27:07.0345244Z       %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 = {})
2025-03-21T20:27:07.0345940Z       %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 = {})
2025-03-21T20:27:07.0346569Z       %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 = {})
2025-03-21T20:27:07.0347178Z       %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 = {})
2025-03-21T20:27:07.0347787Z       %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 = {})
2025-03-21T20:27:07.0348449Z       %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 = {})
2025-03-21T20:27:07.0349109Z       %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 = {})
2025-03-21T20:27:07.0349869Z       %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 = {})
2025-03-21T20:27:07.0350539Z       %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 = {})
2025-03-21T20:27:07.0351224Z       %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 = {})
2025-03-21T20:27:07.0352130Z       %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 = {})
2025-03-21T20:27:07.0352868Z       %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 = {})
2025-03-21T20:27:07.0353502Z       %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 = {})
2025-03-21T20:27:07.0354102Z       %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 = {})
2025-03-21T20:27:07.0354834Z       %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 = {})
2025-03-21T20:27:07.0355482Z       %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 = {})
2025-03-21T20:27:07.0356141Z       %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 = {})
2025-03-21T20:27:07.0356849Z       %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 = {})
2025-03-21T20:27:07.0357549Z       %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 = {})
2025-03-21T20:27:07.0358452Z       %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 = {})
2025-03-21T20:27:07.0359372Z       %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 = {})
2025-03-21T20:27:07.0360068Z       %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 = {})
2025-03-21T20:27:07.0360748Z       %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 = {})
2025-03-21T20:27:07.0361371Z       %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 = {})
2025-03-21T20:27:07.0362007Z       %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 = {})
2025-03-21T20:27:07.0362659Z       %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 = {})
2025-03-21T20:27:07.0363294Z       %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 = {})
2025-03-21T20:27:07.0363901Z       %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 = {})
2025-03-21T20:27:07.0364545Z       %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 = {})
2025-03-21T20:27:07.0365278Z       %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 = {})
2025-03-21T20:27:07.0366204Z       %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 = {})
2025-03-21T20:27:07.0366872Z       %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 = {})
2025-03-21T20:27:07.0367500Z       %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 = {})
2025-03-21T20:27:07.0368100Z       %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 = {})
2025-03-21T20:27:07.0368887Z       %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 = {})
2025-03-21T20:27:07.0369535Z       %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 = {})
2025-03-21T20:27:07.0370189Z       %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 = {})
2025-03-21T20:27:07.0370831Z       %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 = {})
2025-03-21T20:27:07.0371550Z       %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 = {})
2025-03-21T20:27:07.0372230Z       %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 = {})
2025-03-21T20:27:07.0372921Z       %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 = {})
2025-03-21T20:27:07.0373820Z       %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 = {})
2025-03-21T20:27:07.0374736Z       %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 = {})
2025-03-21T20:27:07.0375627Z       %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 = {})
2025-03-21T20:27:07.0376306Z       %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 = {})
2025-03-21T20:27:07.0377022Z       %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 = {})
2025-03-21T20:27:07.0377702Z       %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 = {})
2025-03-21T20:27:07.0378320Z       %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 = {})
2025-03-21T20:27:07.0378947Z       %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 = {})
2025-03-21T20:27:07.0379565Z       %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 = {})
2025-03-21T20:27:07.0380215Z       %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 = {})
2025-03-21T20:27:07.0380874Z       %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 = {})
2025-03-21T20:27:07.0381518Z       %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 = {})
2025-03-21T20:27:07.0382160Z       %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 = {})
2025-03-21T20:27:07.0382815Z       %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 = {})
2025-03-21T20:27:07.0383702Z       %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 = {})
2025-03-21T20:27:07.0384325Z       %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 = {})
2025-03-21T20:27:07.0384934Z       %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 = {})
2025-03-21T20:27:07.0385558Z       %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 = {})
2025-03-21T20:27:07.0386164Z       %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 = {})
2025-03-21T20:27:07.0386830Z       %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 = {})
2025-03-21T20:27:07.0387485Z       %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 = {})
2025-03-21T20:27:07.0388151Z       %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 = {})
2025-03-21T20:27:07.0388851Z       %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 = {})
2025-03-21T20:27:07.0389520Z       %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 = {})
2025-03-21T20:27:07.0390173Z       %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 = {})
2025-03-21T20:27:07.0390835Z       %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 = {})
2025-03-21T20:27:07.0391491Z       %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 = {})
2025-03-21T20:27:07.0392156Z       %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 = {})
2025-03-21T20:27:07.0392833Z       %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 = {})
2025-03-21T20:27:07.0393502Z       %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 = {})
2025-03-21T20:27:07.0394155Z       %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 = {})
2025-03-21T20:27:07.0394773Z       %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 = {})
2025-03-21T20:27:07.0395416Z       %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 = {})
2025-03-21T20:27:07.0396032Z       %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 = {})
2025-03-21T20:27:07.0396634Z       %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 = {})
2025-03-21T20:27:07.0397247Z       %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 = {})
2025-03-21T20:27:07.0397843Z       %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 = {})
2025-03-21T20:27:07.0398456Z       %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 = {})
2025-03-21T20:27:07.0399053Z       %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 = {})
2025-03-21T20:27:07.0399660Z       %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 = {})
2025-03-21T20:27:07.0400321Z       %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 = {})
2025-03-21T20:27:07.0400929Z       %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 = {})
2025-03-21T20:27:07.0401527Z       %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 = {})
2025-03-21T20:27:07.0402132Z       %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 = {})
2025-03-21T20:27:07.0402785Z       %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 = {})
2025-03-21T20:27:07.0403401Z       %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 = {})
2025-03-21T20:27:07.0404027Z       %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 = {})
2025-03-21T20:27:07.0404675Z       %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 = {})
2025-03-21T20:27:07.0405307Z       %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 = {})
2025-03-21T20:27:07.0405956Z       %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 = {})
2025-03-21T20:27:07.0406609Z       %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 = {})
2025-03-21T20:27:07.0407239Z       %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 = {})
2025-03-21T20:27:07.0407880Z       %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 = {})
2025-03-21T20:27:07.0408507Z       %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 = {})
2025-03-21T20:27:07.0409153Z       %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 = {})
2025-03-21T20:27:07.0409737Z       %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 = {})
2025-03-21T20:27:07.0410328Z       %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 = {})
2025-03-21T20:27:07.0410903Z       %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 = {})
2025-03-21T20:27:07.0411494Z       %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 = {})
2025-03-21T20:27:07.0412123Z       %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 = {})
2025-03-21T20:27:07.0412718Z       %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 = {})
2025-03-21T20:27:07.0413295Z       %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 = {})
2025-03-21T20:27:07.0413884Z       %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 = {})
2025-03-21T20:27:07.0414461Z       %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 = {})
2025-03-21T20:27:07.0415060Z       %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 = {})
2025-03-21T20:27:07.0415667Z       %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 = {})
2025-03-21T20:27:07.0416264Z       %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 = {})
2025-03-21T20:27:07.0416837Z       %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 = {})
2025-03-21T20:27:07.0417423Z       %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 = {})
2025-03-21T20:27:07.0418016Z       %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 = {})
2025-03-21T20:27:07.0418600Z       %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 = {})
2025-03-21T20:27:07.0420086Z       %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 = {})
2025-03-21T20:27:07.0420727Z       %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 = {})
2025-03-21T20:27:07.0421354Z       %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 = {})
2025-03-21T20:27:07.0421987Z       %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 = {})
2025-03-21T20:27:07.0422608Z       %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 = {})
2025-03-21T20:27:07.0423230Z       %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 = {})
2025-03-21T20:27:07.0423976Z       %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 = {})
2025-03-21T20:27:07.0424817Z       %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 = {})
2025-03-21T20:27:07.0425427Z       %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 = {})
2025-03-21T20:27:07.0426042Z       %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 = {})
2025-03-21T20:27:07.0426704Z       %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 = {})
2025-03-21T20:27:07.0427628Z       %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 = {})
2025-03-21T20:27:07.0428289Z       %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 = {})
2025-03-21T20:27:07.0428955Z       %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 = {})
2025-03-21T20:27:07.0429612Z       %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 = {})
2025-03-21T20:27:07.0430313Z       %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 = {})
2025-03-21T20:27:07.0430965Z       %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 = {})
2025-03-21T20:27:07.0431628Z       %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 = {})
2025-03-21T20:27:07.0432283Z       %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 = {})
2025-03-21T20:27:07.0432953Z       %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 = {})
2025-03-21T20:27:07.0433610Z       %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 = {})
2025-03-21T20:27:07.0434274Z       %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 = {})
2025-03-21T20:27:07.0434928Z       %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 = {})
2025-03-21T20:27:07.0435659Z       %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 = {})
2025-03-21T20:27:07.0436263Z       %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 = {})
2025-03-21T20:27:07.0436874Z       %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 = {})
2025-03-21T20:27:07.0437470Z       %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 = {})
2025-03-21T20:27:07.0438080Z       %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 = {})
2025-03-21T20:27:07.0438682Z       %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 = {})
2025-03-21T20:27:07.0439333Z       %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 = {})
2025-03-21T20:27:07.0439927Z       %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 = {})
2025-03-21T20:27:07.0440531Z       %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 = {})
2025-03-21T20:27:07.0441127Z       %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 = {})
2025-03-21T20:27:07.0441756Z       %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 = {})
2025-03-21T20:27:07.0442412Z       %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 = {})
2025-03-21T20:27:07.0443022Z       %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 = {})
2025-03-21T20:27:07.0443601Z       %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 = {})
2025-03-21T20:27:07.0444195Z       %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 = {})
2025-03-21T20:27:07.0444777Z       %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 = {})
2025-03-21T20:27:07.0445372Z       %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 = {})
2025-03-21T20:27:07.0445951Z       %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 = {})
2025-03-21T20:27:07.0446542Z       %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 = {})
2025-03-21T20:27:07.0447176Z       %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 = {})
2025-03-21T20:27:07.0447770Z       %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 = {})
2025-03-21T20:27:07.0448349Z       %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 = {})
2025-03-21T20:27:07.0448929Z       %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 = {})
2025-03-21T20:27:07.0449525Z       %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 = {})
2025-03-21T20:27:07.0450109Z       %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 = {})
2025-03-21T20:27:07.0451635Z       %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 = {})
2025-03-21T20:27:07.0452265Z       %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 = {})
2025-03-21T20:27:07.0452928Z       %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 = {})
2025-03-21T20:27:07.0453662Z       %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 = {})
2025-03-21T20:27:07.0454280Z       %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 = {})
2025-03-21T20:27:07.0454873Z       %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 = {})
2025-03-21T20:27:07.0455469Z       %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 = {})
2025-03-21T20:27:07.0456148Z       %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 = {})
2025-03-21T20:27:07.0456797Z       %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 = {})
2025-03-21T20:27:07.0457446Z       %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 = {})
2025-03-21T20:27:07.0458097Z       %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 = {})
2025-03-21T20:27:07.0458830Z       %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 = {})
2025-03-21T20:27:07.0459751Z       %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 = {})
2025-03-21T20:27:07.0460432Z       %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 = {})
2025-03-21T20:27:07.0461051Z       %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 = {})
2025-03-21T20:27:07.0461649Z       %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 = {})
2025-03-21T20:27:07.0462388Z       %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 = {})
2025-03-21T20:27:07.0463059Z       %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 = {})
2025-03-21T20:27:07.0463714Z       %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 = {})
2025-03-21T20:27:07.0464398Z       %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 = {})
2025-03-21T20:27:07.0465095Z       %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 = {})
2025-03-21T20:27:07.0466034Z       %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 = {})
2025-03-21T20:27:07.0466952Z       %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 = {})
2025-03-21T20:27:07.0467636Z       %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 = {})
2025-03-21T20:27:07.0468306Z       %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 = {})
2025-03-21T20:27:07.0468940Z       %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 = {})
2025-03-21T20:27:07.0469555Z       %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 = {})
2025-03-21T20:27:07.0470155Z       %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 = {})
2025-03-21T20:27:07.0470828Z       %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 = {})
2025-03-21T20:27:07.0471434Z       %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 = {})
2025-03-21T20:27:07.0472079Z       %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 = {})
2025-03-21T20:27:07.0472763Z       %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 = {})
2025-03-21T20:27:07.0473683Z       %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 = {})
2025-03-21T20:27:07.0474355Z       %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 = {})
2025-03-21T20:27:07.0475010Z       %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 = {})
2025-03-21T20:27:07.0475604Z       %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 = {})
2025-03-21T20:27:07.0476361Z       %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 = {})
2025-03-21T20:27:07.0477013Z       %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 = {})
2025-03-21T20:27:07.0477696Z       %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 = {})
2025-03-21T20:27:07.0478339Z       %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 = {})
2025-03-21T20:27:07.0479029Z       %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 = {})
2025-03-21T20:27:07.0479711Z       %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 = {})
2025-03-21T20:27:07.0480403Z       %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 = {})
2025-03-21T20:27:07.0481305Z       %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 = {})
2025-03-21T20:27:07.0482212Z       %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 = {})
2025-03-21T20:27:07.0483292Z       %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 = {})
2025-03-21T20:27:07.0483964Z       %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 = {})
2025-03-21T20:27:07.0484644Z       %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 = {})
2025-03-21T20:27:07.0485306Z       %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 = {})
2025-03-21T20:27:07.0485938Z       %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 = {})
2025-03-21T20:27:07.0486584Z       %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 = {})
2025-03-21T20:27:07.0487215Z       %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 = {})
2025-03-21T20:27:07.0487848Z       %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 = {})
2025-03-21T20:27:07.0488482Z       %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 = {})
2025-03-21T20:27:07.0489155Z       %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 = {})
2025-03-21T20:27:07.0489799Z       %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 = {})
2025-03-21T20:27:07.0490451Z       %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 = {})
2025-03-21T20:27:07.0491308Z       %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 = {})
2025-03-21T20:27:07.0491933Z       %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 = {})
2025-03-21T20:27:07.0492545Z       %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 = {})
2025-03-21T20:27:07.0493165Z       %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 = {})
2025-03-21T20:27:07.0493774Z       %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 = {})
2025-03-21T20:27:07.0494496Z       %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 = {})
2025-03-21T20:27:07.0495155Z       %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 = {})
2025-03-21T20:27:07.0495825Z       %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 = {})
2025-03-21T20:27:07.0496477Z       %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 = {})
2025-03-21T20:27:07.0497141Z       %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 = {})
2025-03-21T20:27:07.0497800Z       %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 = {})
2025-03-21T20:27:07.0498491Z       %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 = {})
2025-03-21T20:27:07.0499144Z       %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 = {})
2025-03-21T20:27:07.0499811Z       %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 = {})
2025-03-21T20:27:07.0500470Z       %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 = {})
2025-03-21T20:27:07.0501159Z       %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 = {})
2025-03-21T20:27:07.0501815Z       %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 = {})
2025-03-21T20:27:07.0502431Z       %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 = {})
2025-03-21T20:27:07.0503038Z       %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 = {})
2025-03-21T20:27:07.0503655Z       %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 = {})
2025-03-21T20:27:07.0504260Z       %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 = {})
2025-03-21T20:27:07.0504872Z       %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 = {})
2025-03-21T20:27:07.0505469Z       %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 = {})
2025-03-21T20:27:07.0506074Z       %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 = {})
2025-03-21T20:27:07.0506723Z       %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 = {})
2025-03-21T20:27:07.0507330Z       %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 = {})
2025-03-21T20:27:07.0507923Z       %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 = {})
2025-03-21T20:27:07.0508531Z       %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 = {})
2025-03-21T20:27:07.0509130Z       %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 = {})
2025-03-21T20:27:07.0509737Z       %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 = {})
2025-03-21T20:27:07.0510353Z       %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 = {})
2025-03-21T20:27:07.0510962Z       %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 = {})
2025-03-21T20:27:07.0511555Z       %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 = {})
2025-03-21T20:27:07.0512201Z       %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 = {})
2025-03-21T20:27:07.0512857Z       %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 = {})
2025-03-21T20:27:07.0513499Z       %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 = {})
2025-03-21T20:27:07.0514124Z       %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 = {})
2025-03-21T20:27:07.0514762Z       %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 = {})
2025-03-21T20:27:07.0515393Z       %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 = {})
2025-03-21T20:27:07.0516033Z       %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 = {})
2025-03-21T20:27:07.0516659Z       %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 = {})
2025-03-21T20:27:07.0517254Z       %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 = {})
2025-03-21T20:27:07.0517885Z       %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 = {})
2025-03-21T20:27:07.0518480Z       %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 = {})
2025-03-21T20:27:07.0519060Z       %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 = {})
2025-03-21T20:27:07.0519650Z       %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 = {})
2025-03-21T20:27:07.0520226Z       %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 = {})
2025-03-21T20:27:07.0520819Z       %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 = {})
2025-03-21T20:27:07.0521421Z       %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 = {})
2025-03-21T20:27:07.0522015Z       %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 = {})
2025-03-21T20:27:07.0522656Z       %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 = {})
2025-03-21T20:27:07.0523254Z       %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 = {})
2025-03-21T20:27:07.0523840Z       %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 = {})
2025-03-21T20:27:07.0524626Z       %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 = {})
2025-03-21T20:27:07.0525215Z       %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 = {})
2025-03-21T20:27:07.0525785Z       %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 = {})
2025-03-21T20:27:07.0526369Z       %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 = {})
2025-03-21T20:27:07.0527856Z       %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 = {})
2025-03-21T20:27:07.0528497Z       %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 = {})
2025-03-21T20:27:07.0529135Z       %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 = {})
2025-03-21T20:27:07.0529857Z       %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 = {})
2025-03-21T20:27:07.0530496Z       %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 = {})
2025-03-21T20:27:07.0531115Z       %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 = {})
2025-03-21T20:27:07.0531824Z       %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 = {})
2025-03-21T20:27:07.0532515Z       %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 = {})
2025-03-21T20:27:07.0533133Z       %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 = {})
2025-03-21T20:27:07.0533790Z       %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 = {})
2025-03-21T20:27:07.0534452Z       %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 = {})
2025-03-21T20:27:07.0535317Z       %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 = {})
2025-03-21T20:27:07.0535989Z       %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 = {})
2025-03-21T20:27:07.0536679Z       %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 = {})
2025-03-21T20:27:07.0537331Z       %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 = {})
2025-03-21T20:27:07.0537995Z       %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 = {})
2025-03-21T20:27:07.0538650Z       %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 = {})
2025-03-21T20:27:07.0539314Z       %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 = {})
2025-03-21T20:27:07.0539969Z       %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 = {})
2025-03-21T20:27:07.0540631Z       %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 = {})
2025-03-21T20:27:07.0541281Z       %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 = {})
2025-03-21T20:27:07.0541998Z       %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 = {})
2025-03-21T20:27:07.0542656Z       %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 = {})
2025-03-21T20:27:07.0543318Z       %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 = {})
2025-03-21T20:27:07.0543911Z       %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 = {})
2025-03-21T20:27:07.0544523Z       %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 = {})
2025-03-21T20:27:07.0545118Z       %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 = {})
2025-03-21T20:27:07.0545748Z       %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 = {})
2025-03-21T20:27:07.0546341Z       %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 = {})
2025-03-21T20:27:07.0546949Z       %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 = {})
2025-03-21T20:27:07.0547545Z       %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 = {})
2025-03-21T20:27:07.0548177Z       %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 = {})
2025-03-21T20:27:07.0548772Z       %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 = {})
2025-03-21T20:27:07.0549378Z       %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 = {})
2025-03-21T20:27:07.0549975Z       %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 = {})
2025-03-21T20:27:07.0550588Z       %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 = {})
2025-03-21T20:27:07.0551167Z       %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 = {})
2025-03-21T20:27:07.0551762Z       %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 = {})
2025-03-21T20:27:07.0552340Z       %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 = {})
2025-03-21T20:27:07.0552982Z       %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 = {})
2025-03-21T20:27:07.0553565Z       %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 = {})
2025-03-21T20:27:07.0554162Z       %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 = {})
2025-03-21T20:27:07.0554742Z       %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 = {})
2025-03-21T20:27:07.0555332Z       %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 = {})
2025-03-21T20:27:07.0555914Z       %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 = {})
2025-03-21T20:27:07.0556504Z       %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 = {})
2025-03-21T20:27:07.0557111Z       %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 = {})
2025-03-21T20:27:07.0557703Z       %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 = {})
2025-03-21T20:27:07.0559188Z       %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 = {})
2025-03-21T20:27:07.0559847Z       %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 = {})
2025-03-21T20:27:07.0560505Z       %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 = {})
2025-03-21T20:27:07.0561208Z       %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 = {})
2025-03-21T20:27:07.0561829Z       %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 = {})
2025-03-21T20:27:07.0562481Z       %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 = {})
2025-03-21T20:27:07.0563079Z       %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 = {})
2025-03-21T20:27:07.0563764Z       %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 = {})
2025-03-21T20:27:07.0564410Z       %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 = {})
2025-03-21T20:27:07.0565119Z       %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 = {})
2025-03-21T20:27:07.0565780Z       %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 = {})
2025-03-21T20:27:07.0566475Z       %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 = {})
2025-03-21T20:27:07.0567383Z       %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 = {})
2025-03-21T20:27:07.0568069Z       %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 = {})
2025-03-21T20:27:07.0568717Z       %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 = {})
2025-03-21T20:27:07.0569327Z       %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 = {})
2025-03-21T20:27:07.0570047Z       %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 = {})
2025-03-21T20:27:07.0570716Z       %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 = {})
2025-03-21T20:27:07.0571397Z       %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 = {})
2025-03-21T20:27:07.0572097Z       %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 = {})
2025-03-21T20:27:07.0572783Z       %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 = {})
2025-03-21T20:27:07.0573711Z       %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 = {})
2025-03-21T20:27:07.0574623Z       %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 = {})
2025-03-21T20:27:07.0575306Z       %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 = {})
2025-03-21T20:27:07.0575974Z       %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 = {})
2025-03-21T20:27:07.0576612Z       %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 = {})
2025-03-21T20:27:07.0577285Z       %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 = {})
2025-03-21T20:27:07.0577890Z       %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 = {})
2025-03-21T20:27:07.0578551Z       %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 = {})
2025-03-21T20:27:07.0579172Z       %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 = {})
2025-03-21T20:27:07.0579808Z       %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 = {})
2025-03-21T20:27:07.0580508Z       %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 = {})
2025-03-21T20:27:07.0581447Z       %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 = {})
2025-03-21T20:27:07.0582128Z       %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 = {})
2025-03-21T20:27:07.0582748Z       %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 = {})
2025-03-21T20:27:07.0583378Z       %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 = {})
2025-03-21T20:27:07.0583948Z       %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 = {})
2025-03-21T20:27:07.0584664Z       %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 = {})
2025-03-21T20:27:07.0585290Z       %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 = {})
2025-03-21T20:27:07.0585969Z       %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 = {})
2025-03-21T20:27:07.0586823Z       %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 = {})
2025-03-21T20:27:07.0587504Z       %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 = {})
2025-03-21T20:27:07.0588137Z       %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 = {})
2025-03-21T20:27:07.0590426Z       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]
2025-03-21T20:27:07.0594881Z   %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 = {})
2025-03-21T20:27:07.0595263Z   %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {})
2025-03-21T20:27:07.0595676Z   %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 1), kwargs = {})
2025-03-21T20:27:07.0596045Z   %getitem_2 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 2), kwargs = {})
2025-03-21T20:27:07.0596427Z   %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 3), kwargs = {})
2025-03-21T20:27:07.0596793Z   %getitem_4 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 4), kwargs = {})
2025-03-21T20:27:07.0597177Z   %getitem_5 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 5), kwargs = {})
2025-03-21T20:27:07.0597608Z   %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 6), kwargs = {})
2025-03-21T20:27:07.0597987Z   %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 7), kwargs = {})
2025-03-21T20:27:07.0598355Z   %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 8), kwargs = {})
2025-03-21T20:27:07.0598734Z   %getitem_9 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 9), kwargs = {})
2025-03-21T20:27:07.0599109Z   %getitem_10 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 10), kwargs = {})
2025-03-21T20:27:07.0599493Z   %getitem_11 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 11), kwargs = {})
2025-03-21T20:27:07.0599862Z   %getitem_12 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 12), kwargs = {})
2025-03-21T20:27:07.0600245Z   %getitem_13 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 13), kwargs = {})
2025-03-21T20:27:07.0600669Z   %getitem_14 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 14), kwargs = {})
2025-03-21T20:27:07.0601066Z   %getitem_15 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 15), kwargs = {})
2025-03-21T20:27:07.0601545Z   %getitem_16 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 16), kwargs = {})
2025-03-21T20:27:07.0601915Z   %getitem_17 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 17), kwargs = {})
2025-03-21T20:27:07.0602300Z   %getitem_18 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 18), kwargs = {})
2025-03-21T20:27:07.0602739Z   %getitem_19 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 19), kwargs = {})
2025-03-21T20:27:07.0603127Z   %getitem_20 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 20), kwargs = {})
2025-03-21T20:27:07.0603502Z   %getitem_21 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 21), kwargs = {})
2025-03-21T20:27:07.0603885Z   %getitem_22 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 22), kwargs = {})
2025-03-21T20:27:07.0604289Z   %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 23), kwargs = {})
2025-03-21T20:27:07.0604673Z   %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 24), kwargs = {})
2025-03-21T20:27:07.0605321Z   %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 = {})
2025-03-21T20:27:07.0605984Z   %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 = {})
2025-03-21T20:27:07.0606660Z   %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 = {})
2025-03-21T20:27:07.0607324Z   %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 = {})
2025-03-21T20:27:07.0607971Z   %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 = {})
2025-03-21T20:27:07.0608630Z   %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 = {})
2025-03-21T20:27:07.0609279Z   %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 = {})
2025-03-21T20:27:07.0609942Z   %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 = {})
2025-03-21T20:27:07.0610589Z   %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 = {})
2025-03-21T20:27:07.0611248Z   %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 = {})
2025-03-21T20:27:07.0611901Z   %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 = {})
2025-03-21T20:27:07.0612618Z   %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 = {})
2025-03-21T20:27:07.0613271Z   %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 = {})
2025-03-21T20:27:07.0613933Z   %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 = {})
2025-03-21T20:27:07.0614583Z   %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 = {})
2025-03-21T20:27:07.0615246Z   %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 = {})
2025-03-21T20:27:07.0615932Z   %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 = {})
2025-03-21T20:27:07.0616585Z   %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 = {})
2025-03-21T20:27:07.0617247Z   %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 = {})
2025-03-21T20:27:07.0617895Z   %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 = {})
2025-03-21T20:27:07.0618589Z   %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 = {})
2025-03-21T20:27:07.0619244Z   %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 = {})
2025-03-21T20:27:07.0619909Z   %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 = {})
2025-03-21T20:27:07.0620563Z   %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 = {})
2025-03-21T20:27:07.0622340Z   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)
2025-03-21T20:27:07.0622352Z 
2025-03-21T20:27:07.0622958Z [INFO 2025-03-21 20:27:06,822 builder.py:448] Applied partitioners: <executorch.backends.qualcomm.partition.qnn_partitioner.QnnPartitioner object at 0x7fc23ab7cdf0>
2025-03-21T20:27:07.0623079Z Total delegated subgraphs: 1
2025-03-21T20:27:07.0623193Z Number of delegated nodes: 1992
2025-03-21T20:27:07.0623326Z Number of non-delegated nodes: 49
2025-03-21T20:27:07.0623355Z 
2025-03-21T20:27:07.0623932Z ╒════╤═════════════════════════════╤═══════════════════════════════════╤═══════════════════════════════════════╕
2025-03-21T20:27:07.0624545Z │    │ op_type                     │   occurrences_in_delegated_graphs │   occurrences_in_non_delegated_graphs │
2025-03-21T20:27:07.0624933Z ╞════╪═════════════════════════════╪═══════════════════════════════════╪═══════════════════════════════════════╡
2025-03-21T20:27:07.0625296Z │  0 │ aten__softmax_default       │                                12 │                                     0 │
2025-03-21T20:27:07.0625652Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0625981Z │  1 │ aten__to_copy_default       │                                 2 │                                     0 │
2025-03-21T20:27:07.0626335Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0626663Z │  2 │ aten_add_tensor             │                                60 │                                     0 │
2025-03-21T20:27:07.0627028Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0627340Z │  3 │ aten_cat_default            │                                48 │                                     0 │
2025-03-21T20:27:07.0627752Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0628087Z │  4 │ aten_convolution_default    │                                85 │                                     0 │
2025-03-21T20:27:07.0628449Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0628754Z │  5 │ aten_copy_default           │                                 0 │                                    24 │
2025-03-21T20:27:07.0629170Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0629529Z │  6 │ aten_embedding_default      │                                 1 │                                     0 │
2025-03-21T20:27:07.0629945Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0630273Z │  7 │ aten_index_put_default      │                                24 │                                     0 │
2025-03-21T20:27:07.0630623Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0630937Z │  8 │ aten_index_tensor           │                                14 │                                     0 │
2025-03-21T20:27:07.0631285Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0631606Z │  9 │ aten_matmul_default         │                                24 │                                     0 │
2025-03-21T20:27:07.0631986Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0632311Z │ 10 │ aten_mul_tensor             │                               132 │                                     0 │
2025-03-21T20:27:07.0632698Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0633052Z │ 11 │ aten_permute_copy_default   │                               494 │                                     0 │
2025-03-21T20:27:07.0633405Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0633727Z │ 12 │ aten_rms_norm_default       │                                25 │                                     0 │
2025-03-21T20:27:07.0634078Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0634464Z │ 13 │ aten_select_copy_int        │                               577 │                                     0 │
2025-03-21T20:27:07.0634864Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0635180Z │ 14 │ aten_sigmoid_default        │                                12 │                                     0 │
2025-03-21T20:27:07.0635556Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:07.0635872Z │ 15 │ aten_slice_copy_tensor      │                                48 │                                     0 │
2025-03-21T20:27:07.0636235Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:16.2229966Z │ 16 │ aten_squeeze_copy_dims      │                               132 │                                     0 │
2025-03-21T20:27:16.2230791Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:16.2231459Z │ 17 │ aten_sub_tensor             │                                24 │                                     0 │
2025-03-21T20:27:16.2238293Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:16.2239240Z │ 18 │ aten_unsqueeze_copy_default │                               132 │                                     0 │
2025-03-21T20:27:16.2240024Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:16.2240684Z │ 19 │ aten_view_copy_default      │                               146 │                                     0 │
2025-03-21T20:27:16.2241396Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:16.2242014Z │ 20 │ getitem                     │                                 0 │                                    25 │
2025-03-21T20:27:16.2242761Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤
2025-03-21T20:27:16.2243430Z │ 21 │ Total                       │                              1992 │                                    49 │
2025-03-21T20:27:16.2244117Z ╘════╧═════════════════════════════╧═══════════════════════════════════╧═══════════════════════════════════════╛
2025-03-21T20:27:16.2245688Z /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.
2025-03-21T20:27:16.2247159Z   warnings.warn(
2025-03-21T20:27:16.2247610Z [INFO 2025-03-21 20:27:10,209 builder.py:507] Required memory for activation in bytes: [0, 19395584]
2025-03-21T20:27:16.2248197Z modelname: tinyllama_qnn_fp32
2025-03-21T20:27:16.2248582Z output_file: tinyllama_qnn_fp32.pte
2025-03-21T20:27:16.2249060Z [INFO 2025-03-21 20:27:10,305 utils.py:141] Saved exported program to tinyllama_qnn_fp32.pte
2025-03-21T20:27:16.2249558Z + echo 'Creating tokenizer.bin'
2025-03-21T20:27:16.2249869Z Creating tokenizer.bin
2025-03-21T20:27:16.2250333Z + python -m extension.llm.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin
2025-03-21T20:27:16.2251201Z + RUNTIME_ARGS='--model_path=tinyllama_qnn_fp32.pte --tokenizer_path=tokenizer.bin --prompt=Once --temperature=0 --seq_len=10 --warmup=1'
2025-03-21T20:27:16.2251961Z + echo 'Running tinyllama_qnn_fp32.pte in portable mode'
2025-03-21T20:27:16.2252374Z Running tinyllama_qnn_fp32.pte in portable mode
2025-03-21T20:27:16.2252738Z + [[ cmake == \b\u\c\k\2 ]]
2025-03-21T20:27:16.2253022Z + [[ cmake == \c\m\a\k\e ]]
2025-03-21T20:27:16.2253325Z + cmake_install_executorch_libraries
2025-03-21T20:27:16.2253821Z + echo 'Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a'
2025-03-21T20:27:16.2254455Z Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a
2025-03-21T20:27:16.2254929Z + rm -rf cmake-out
2025-03-21T20:27:16.2257014Z + 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 .
2025-03-21T20:27:16.2260968Z + 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 .
2025-03-21T20:27:16.2263133Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:27:16.2263531Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:27:16.2263912Z -- Detecting C compiler ABI info
2025-03-21T20:27:16.2264244Z -- Detecting C compiler ABI info - done
2025-03-21T20:27:16.2264656Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:27:16.2265070Z -- Detecting C compile features
2025-03-21T20:27:16.2265384Z -- Detecting C compile features - done
2025-03-21T20:27:16.2265726Z -- Detecting CXX compiler ABI info
2025-03-21T20:27:16.2266065Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:27:16.2266519Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:27:16.2266942Z -- Detecting CXX compile features
2025-03-21T20:27:16.2267295Z -- Detecting CXX compile features - done
2025-03-21T20:27:16.2268045Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:27:16.2268794Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:27:16.2269240Z   CMake.
2025-03-21T20:27:16.2269367Z 
2025-03-21T20:27:16.2269614Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:27:16.2270181Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:27:16.2270697Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:27:16.2270976Z 
2025-03-21T20:27:16.2271086Z 
2025-03-21T20:27:16.2271715Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:27:16.2272472Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:27:16.2272911Z   CMake.
2025-03-21T20:27:16.2273036Z 
2025-03-21T20:27:16.2273272Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:27:16.2273848Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:27:16.2274351Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:27:16.2274628Z 
2025-03-21T20:27:16.2274743Z 
2025-03-21T20:27:16.2275000Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:27:16.2275399Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:27:16.2275760Z -- Found Threads: TRUE
2025-03-21T20:27:16.2276465Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2025-03-21T20:27:16.2277238Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:27:16.2277678Z   CMake.
2025-03-21T20:27:16.2277803Z 
2025-03-21T20:27:16.2278048Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:27:16.2278611Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:27:16.2279118Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:27:16.2279392Z 
2025-03-21T20:27:16.2279502Z 
2025-03-21T20:27:16.2279745Z -- Using python executable 'python'
2025-03-21T20:27:16.2280106Z -- Resolved buck2 as buck2.
2025-03-21T20:27:16.2280388Z -- Killing buck2 daemon
2025-03-21T20:27:16.2280658Z 'buck2 killall'
2025-03-21T20:27:16.2280932Z -- executorch: Generating source lists
2025-03-21T20:27:16.2281472Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:27:16.2282184Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake
2025-03-21T20:27:16.2282784Z -- executorch: Using PAL default 'posix'
2025-03-21T20:27:16.2283123Z -- Generating operator lib:
2025-03-21T20:27:16.2283434Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:27:16.2283862Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:27:16.2284348Z --   ROOT_OPS: 
2025-03-21T20:27:16.2284605Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:27:16.2285869Z 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"
2025-03-21T20:27:16.2287004Z -- Generating kernel bindings:
2025-03-21T20:27:16.2287321Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:27:16.2287749Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml
2025-03-21T20:27:16.2288194Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:27:16.2288465Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:27:16.2290177Z 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
2025-03-21T20:27:18.7185134Z -- Generating operator lib:
2025-03-21T20:27:18.7185917Z --   LIB_NAME: portable_ops_lib
2025-03-21T20:27:18.7186527Z --   KERNEL_LIBS: portable_kernels
2025-03-21T20:27:18.7187046Z --   DEPS: executorch
2025-03-21T20:27:18.7188201Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])'
2025-03-21T20:27:18.7189267Z -- Generating operator lib:
2025-03-21T20:27:18.7189781Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:27:18.7190512Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:27:18.7191297Z --   ROOT_OPS: 
2025-03-21T20:27:18.7191732Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:27:18.7194348Z 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"
2025-03-21T20:27:18.7196515Z -- Generating kernel bindings:
2025-03-21T20:27:18.7197065Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:27:18.7197809Z --   FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml
2025-03-21T20:27:18.7198576Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:27:18.7199034Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:27:18.7202573Z 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
2025-03-21T20:27:18.7205571Z -- Generating operator lib:
2025-03-21T20:27:18.7206086Z --   LIB_NAME: optimized_ops_lib
2025-03-21T20:27:18.7206606Z --   KERNEL_LIBS: optimized_kernels
2025-03-21T20:27:18.7207124Z --   DEPS: executorch
2025-03-21T20:27:18.7207574Z -- Merging kernel yaml files:
2025-03-21T20:27:18.7208468Z --   FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml
2025-03-21T20:27:18.7209852Z --   FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml
2025-03-21T20:27:18.7210934Z --   OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations
2025-03-21T20:27:18.7211642Z -- Generating operator lib:
2025-03-21T20:27:18.7212183Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:27:18.7213165Z --   OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:27:18.7213954Z --   ROOT_OPS: 
2025-03-21T20:27:18.7214351Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:27:18.7216807Z 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"
2025-03-21T20:27:18.7219107Z -- Generating kernel bindings:
2025-03-21T20:27:18.7219652Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:27:18.7220474Z --   FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml
2025-03-21T20:27:18.7221458Z --   CUSTOM_OPS_YAML: 
2025-03-21T20:27:18.7221946Z --   ADD_EXCEPTION_BOUNDARY: TRUE
2025-03-21T20:27:18.7225733Z 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
2025-03-21T20:27:18.7228888Z -- Generating operator lib:
2025-03-21T20:27:18.7229459Z --   LIB_NAME: optimized_native_cpu_ops_lib
2025-03-21T20:27:18.7230202Z --   KERNEL_LIBS: optimized_kernels;optimized_portable_kernels
2025-03-21T20:27:18.7230940Z --   DEPS: executorch
2025-03-21T20:27:18.7232049Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2025-03-21T20:27:18.7233446Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:27:18.7234209Z   CMake.
2025-03-21T20:27:18.7234531Z 
2025-03-21T20:27:18.7234961Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:27:18.7235969Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:27:18.7236829Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:27:18.7237288Z 
2025-03-21T20:27:18.7237518Z 
2025-03-21T20:27:18.7237902Z -- Looking for C++ include unistd.h
2025-03-21T20:27:18.7238498Z -- Looking for C++ include unistd.h - found
2025-03-21T20:27:18.7239109Z -- Looking for C++ include stdint.h
2025-03-21T20:27:18.7239693Z -- Looking for C++ include stdint.h - found
2025-03-21T20:27:18.7240276Z -- Looking for C++ include inttypes.h
2025-03-21T20:27:18.7240857Z -- Looking for C++ include inttypes.h - found
2025-03-21T20:27:18.7241496Z -- Looking for C++ include sys/types.h
2025-03-21T20:27:18.7242125Z -- Looking for C++ include sys/types.h - found
2025-03-21T20:27:18.7242877Z -- Looking for C++ include sys/stat.h
2025-03-21T20:27:18.7243547Z -- Looking for C++ include sys/stat.h - found
2025-03-21T20:27:18.7244201Z -- Looking for C++ include fnmatch.h
2025-03-21T20:27:18.7244828Z -- Looking for C++ include fnmatch.h - found
2025-03-21T20:27:18.7245445Z -- Looking for C++ include stddef.h
2025-03-21T20:27:18.7246045Z -- Looking for C++ include stddef.h - found
2025-03-21T20:27:18.7246658Z -- Check size of uint32_t
2025-03-21T20:27:18.7247177Z -- Check size of uint32_t - done
2025-03-21T20:27:18.7247713Z -- Looking for strtoll
2025-03-21T20:27:18.7248190Z -- Looking for strtoll - found
2025-03-21T20:27:18.7248768Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029
2025-03-21T20:27:18.7249469Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch
2025-03-21T20:27:18.7250841Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required):
2025-03-21T20:27:18.7252113Z   Compatibility with CMake < 3.10 will be removed from a future version of
2025-03-21T20:27:18.7252842Z   CMake.
2025-03-21T20:27:18.7253053Z 
2025-03-21T20:27:18.7253430Z   Update the VERSION argument <min> value.  Or, use the <min>...<max> syntax
2025-03-21T20:27:18.7254389Z   to tell CMake that the project requires at least <min> but has been updated
2025-03-21T20:27:18.7255266Z   to work with policies introduced by <max> or earlier.
2025-03-21T20:27:18.7255838Z 
2025-03-21T20:27:18.7256076Z 
2025-03-21T20:27:18.7256431Z -- pybind11 v2.13.6 
2025-03-21T20:27:18.7257212Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7")
2025-03-21T20:27:18.7258288Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so
2025-03-21T20:27:18.7259085Z -- Performing Test HAS_FLTO_THIN
2025-03-21T20:27:18.7259672Z -- Performing Test HAS_FLTO_THIN - Success
2025-03-21T20:27:18.7260289Z -- Generating operator lib:
2025-03-21T20:27:18.7260801Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:27:18.7261541Z --   OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:27:18.7262315Z --   ROOT_OPS: 
2025-03-21T20:27:18.7262864Z --   INCLUDE_ALL_OPS: 
2025-03-21T20:27:18.7265266Z 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"
2025-03-21T20:27:18.7267372Z -- Generating kernel bindings:
2025-03-21T20:27:18.7267937Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:27:18.7268474Z --   FUNCTIONS_YAML: 
2025-03-21T20:27:18.7269188Z --   CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml
2025-03-21T20:27:18.7270068Z --   ADD_EXCEPTION_BOUNDARY: FALSE
2025-03-21T20:27:18.7276532Z 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
2025-03-21T20:27:18.7282057Z -- Generating operator lib:
2025-03-21T20:27:18.7282730Z --   LIB_NAME: quantized_ops_lib
2025-03-21T20:27:18.7283312Z --   KERNEL_LIBS: quantized_kernels
2025-03-21T20:27:18.7283869Z --   DEPS: executorch
2025-03-21T20:27:18.7284325Z -- 
2025-03-21T20:27:18.7284723Z -- ******** Summary ********
2025-03-21T20:27:18.7285283Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:27:18.7285924Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:27:18.7286529Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:27:18.7287156Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:27:18.7287749Z --   BUCK2                         : buck2
2025-03-21T20:27:18.7288367Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:27:18.7289355Z --   FLATC_EXECUTABLE              : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc
2025-03-21T20:27:18.7290365Z --   EXECUTORCH_ENABLE_LOGGING              : OFF
2025-03-21T20:27:18.7291090Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2025-03-21T20:27:18.7291737Z --   EXECUTORCH_LOG_LEVEL                   : Info
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2025-03-21T20:27:18.7293630Z --   EXECUTORCH_BUILD_CADENCE               : OFF
2025-03-21T20:27:18.7294270Z --   EXECUTORCH_BUILD_COREML                : OFF
2025-03-21T20:27:18.7294919Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:27:18.7295531Z --   EXECUTORCH_BUILD_DEVTOOLS              : OFF
2025-03-21T20:27:18.7296385Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2025-03-21T20:27:18.7297024Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON
2025-03-21T20:27:18.7297641Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON
2025-03-21T20:27:18.7298284Z --   EXECUTORCH_BUILD_EXTENSION_LLM : OFF
2025-03-21T20:27:18.7298875Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : ON
2025-03-21T20:27:18.7299537Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2025-03-21T20:27:18.7300245Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : ON
2025-03-21T20:27:18.7300987Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : OFF
2025-03-21T20:27:18.7301684Z --   EXECUTORCH_BUILD_FLATC                 : ON
2025-03-21T20:27:18.7302344Z --   EXECUTORCH_BUILD_GFLAGS                : ON
2025-03-21T20:27:18.7303012Z --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2025-03-21T20:27:18.7303705Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:27:18.7304396Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : OFF
2025-03-21T20:27:18.7305065Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2025-03-21T20:27:18.7305762Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : ON
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2025-03-21T20:27:18.7309200Z --   EXECUTORCH_BUILD_QNN                   : ON
2025-03-21T20:27:18.7309869Z --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
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2025-03-21T20:27:18.7311766Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:27:18.7312372Z -- Configuring done (5.5s)
2025-03-21T20:27:18.7312854Z -- Generating done (0.2s)
2025-03-21T20:27:18.7313518Z -- Build files have been written to: /pytorch/executorch/cmake-out
2025-03-21T20:27:18.7314523Z + cmake --build cmake-out -j9 --target install --config Release
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2025-03-21T20:27:19.4752199Z 
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2025-03-21T20:27:19.4752827Z fatal: No names found, cannot describe anything.
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2025-03-21T20:27:19.4754759Z   git describe failed with exit code: 128
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2025-03-21T20:27:19.4755485Z   Make sure you cloned with tags or run 'git fetch --tags'.
2025-03-21T20:27:19.4756192Z Call Stack (most recent call first):
2025-03-21T20:27:19.4756749Z   CMakeLists.txt:5 (include)
2025-03-21T20:27:19.4757076Z 
2025-03-21T20:27:19.4757324Z 
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2025-03-21T20:27:40.7674812Z Install the project...
2025-03-21T20:27:40.7675149Z -- Install configuration: "Release"
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2025-03-21T20:27:40.7682148Z -- Installing: /pytorch/executorch/cmake-out/lib/libportable_ops_lib.a
2025-03-21T20:27:40.7683094Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/portable/Functions.h
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2025-03-21T20:27:40.7989208Z -- Up-to-date: /pytorch/executorch/cmake-out/lib/libcpublas.a
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2025-03-21T20:27:40.8026344Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util
2025-03-21T20:27:40.8027287Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h
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2025-03-21T20:27:42.2015876Z -- Installing: /pytorch/executorch/cmake-out/lib/libexecutorch.a
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2025-03-21T20:27:42.2022062Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_kernels.a
2025-03-21T20:27:42.2022638Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_ops_lib.a
2025-03-21T20:27:42.2023308Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/Functions.h
2025-03-21T20:27:42.2024116Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/NativeFunctions.h
2025-03-21T20:27:42.2024889Z + cmake_build_llama_runner
2025-03-21T20:27:42.2025177Z + echo 'Building llama runner'
2025-03-21T20:27:42.2025502Z Building llama runner
2025-03-21T20:27:42.2025794Z + pushd extension/llm/tokenizers
2025-03-21T20:27:42.2026266Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch
2025-03-21T20:27:42.2026735Z + echo 'Updating tokenizers submodule'
2025-03-21T20:27:42.2027126Z Updating tokenizers submodule
2025-03-21T20:27:42.2027451Z + git submodule update --init
2025-03-21T20:27:42.2027743Z + popd
2025-03-21T20:27:42.2027969Z /pytorch/executorch
2025-03-21T20:27:42.2028242Z + dir=examples/models/llama
2025-03-21T20:27:42.2029442Z + 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
2025-03-21T20:27:42.2031531Z + 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
2025-03-21T20:27:42.2032756Z -- The C compiler identification is Clang 12.0.1
2025-03-21T20:27:42.2033169Z -- The CXX compiler identification is Clang 12.0.1
2025-03-21T20:27:42.2033551Z -- Detecting C compiler ABI info
2025-03-21T20:27:42.2033878Z -- Detecting C compiler ABI info - done
2025-03-21T20:27:42.2034295Z -- Check for working C compiler: /opt/cache/bin/cc - skipped
2025-03-21T20:27:42.2034710Z -- Detecting C compile features
2025-03-21T20:27:42.2035044Z -- Detecting C compile features - done
2025-03-21T20:27:42.2035387Z -- Detecting CXX compiler ABI info
2025-03-21T20:27:42.2035715Z -- Detecting CXX compiler ABI info - done
2025-03-21T20:27:42.2036141Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped
2025-03-21T20:27:42.2036558Z -- Detecting CXX compile features
2025-03-21T20:27:42.2036889Z -- Detecting CXX compile features - done
2025-03-21T20:27:42.2037561Z CMake Warning (dev) at CMakeLists.txt:82 (find_package):
2025-03-21T20:27:42.2038086Z   Policy CMP0144 is not set: find_package uses upper-case <PACKAGENAME>_ROOT
2025-03-21T20:27:42.2038676Z   variables.  Run "cmake --help-policy CMP0144" for policy details.  Use the
2025-03-21T20:27:42.2039234Z   cmake_policy command to set the policy and suppress this warning.
2025-03-21T20:27:42.2039570Z 
2025-03-21T20:27:42.2039701Z   CMake variable EXECUTORCH_ROOT is set to:
2025-03-21T20:27:42.2039934Z 
2025-03-21T20:27:42.2040108Z     /pytorch/executorch/examples/models/llama/../../..
2025-03-21T20:27:42.2040369Z 
2025-03-21T20:27:42.2040573Z   Environment variable EXECUTORCH_ROOT is set to:
2025-03-21T20:27:42.2040828Z 
2025-03-21T20:27:42.2040941Z     /pytorch/executorch/.ci
2025-03-21T20:27:42.2041139Z 
2025-03-21T20:27:42.2041372Z   For compatibility, find_package is ignoring the variable, but code in a
2025-03-21T20:27:42.2041842Z   .cmake module might still use it.
2025-03-21T20:27:42.2042277Z This warning is for project developers.  Use -Wno-dev to suppress it.
2025-03-21T20:27:42.2042813Z 
2025-03-21T20:27:42.2043097Z etdump library is not found.
2025-03-21T20:27:42.2043575Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2044075Z bundled_program library is not found.
2025-03-21T20:27:42.2044649Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2045129Z flatccrt library is not found.
2025-03-21T20:27:42.2045616Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2046101Z coremldelegate library is not found.
2025-03-21T20:27:42.2046609Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2047092Z mpsdelegate library is not found.
2025-03-21T20:27:42.2047590Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2048081Z neuron_backend library is not found.
2025-03-21T20:27:42.2048571Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2049078Z custom_ops library is not found.
2025-03-21T20:27:42.2049607Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2050122Z extension_runner_util library is not found.
2025-03-21T20:27:42.2050688Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2051192Z extension_training library is not found.
2025-03-21T20:27:42.2051703Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2052184Z xnnpack_backend library is not found.
2025-03-21T20:27:42.2052688Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2053162Z XNNPACK library is not found.
2025-03-21T20:27:42.2053645Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2054147Z microkernels-prod library is not found.
2025-03-21T20:27:42.2054647Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2055125Z kleidiai library is not found.
2025-03-21T20:27:42.2055611Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2056099Z vulkan_backend library is not found.
2025-03-21T20:27:42.2056605Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2057103Z quantized_ops_aot_lib library is not found.
2025-03-21T20:27:42.2057630Z             If needed rebuild with the proper options in CMakeLists.txt
2025-03-21T20:27:42.2058431Z -- executorch: Using source file list /pytorch/executorch/cmake-out/examples/models/llama/runner/../../../../executorch_srcs.cmake
2025-03-21T20:27:42.2059166Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17
2025-03-21T20:27:42.2059590Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success
2025-03-21T20:27:42.2060012Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20
2025-03-21T20:27:42.2060420Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed
2025-03-21T20:27:42.2060827Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2025-03-21T20:27:42.2061221Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success
2025-03-21T20:27:42.2061592Z -- Found Threads: TRUE
2025-03-21T20:27:42.2061857Z -- 
2025-03-21T20:27:42.2062074Z -- ******** Summary ********
2025-03-21T20:27:42.2062379Z --   CMAKE_BUILD_TYPE              : Release
2025-03-21T20:27:42.2062722Z --   CMAKE_CXX_STANDARD            : 17
2025-03-21T20:27:42.2063062Z --   CMAKE_CXX_COMPILER_ID         : Clang
2025-03-21T20:27:42.2063442Z --   CMAKE_TOOLCHAIN_FILE          : 
2025-03-21T20:27:42.2063755Z --   BUCK2                         : 
2025-03-21T20:27:42.2064087Z --   PYTHON_EXECUTABLE             : python
2025-03-21T20:27:42.2064433Z --   FLATC_EXECUTABLE              : 
2025-03-21T20:27:43.2086029Z --   EXECUTORCH_ENABLE_LOGGING              : 
2025-03-21T20:27:43.2086838Z --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : 
2025-03-21T20:27:43.2087475Z --   EXECUTORCH_LOG_LEVEL                   : 
2025-03-21T20:27:43.2088110Z --   EXECUTORCH_BUILD_ANDROID_JNI           : 
2025-03-21T20:27:43.2088801Z --   EXECUTORCH_BUILD_ARM_BAREMETAL         : 
2025-03-21T20:27:43.2089427Z --   EXECUTORCH_BUILD_CADENCE               : 
2025-03-21T20:27:43.2090279Z --   EXECUTORCH_BUILD_COREML                : 
2025-03-21T20:27:43.2091291Z --   EXECUTORCH_BUILD_CPUINFO               : ON
2025-03-21T20:27:43.2091932Z --   EXECUTORCH_BUILD_DEVTOOLS              : 
2025-03-21T20:27:43.2092526Z --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : 
2025-03-21T20:27:43.2093215Z --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : 
2025-03-21T20:27:43.2093880Z --   EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : 
2025-03-21T20:27:43.2094522Z --   EXECUTORCH_BUILD_EXTENSION_LLM : 
2025-03-21T20:27:43.2095151Z --   EXECUTORCH_BUILD_EXTENSION_MODULE      : 
2025-03-21T20:27:43.2095817Z --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : 
2025-03-21T20:27:43.2096482Z --   EXECUTORCH_BUILD_EXTENSION_TENSOR      : 
2025-03-21T20:27:43.2097119Z --   EXECUTORCH_BUILD_EXTENSION_TRAINING    : 
2025-03-21T20:27:43.2097840Z --   EXECUTORCH_BUILD_FLATC                 : 
2025-03-21T20:27:43.2098431Z --   EXECUTORCH_BUILD_GFLAGS                : 
2025-03-21T20:27:43.2099105Z --   EXECUTORCH_BUILD_HOST_TARGETS          : 
2025-03-21T20:27:43.2099746Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : OFF
2025-03-21T20:27:43.2100394Z --   EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT    : 
2025-03-21T20:27:43.2101059Z --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2025-03-21T20:27:43.2101702Z --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : 
2025-03-21T20:27:43.2102283Z --   EXECUTORCH_BUILD_MPS                   : 
2025-03-21T20:27:43.2102940Z --   EXECUTORCH_BUILD_NEURON                : 
2025-03-21T20:27:43.2103558Z --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2025-03-21T20:27:43.2104190Z --   EXECUTORCH_BUILD_PYBIND                : 
2025-03-21T20:27:43.2104789Z --   EXECUTORCH_BUILD_QNN                   : 
2025-03-21T20:27:43.2105391Z --   EXECUTORCH_BUILD_SIZE_TEST             : 
2025-03-21T20:27:43.2105987Z --   EXECUTORCH_BUILD_TESTS                 : 
2025-03-21T20:27:43.2106586Z --   EXECUTORCH_BUILD_VULKAN                : 
2025-03-21T20:27:43.2107123Z --   EXECUTORCH_BUILD_XNNPACK               : OFF
2025-03-21T20:27:43.2107720Z -- Configuring done (1.2s)
2025-03-21T20:27:43.2108174Z -- Generating done (0.3s)
2025-03-21T20:27:43.2108945Z -- Build files have been written to: /pytorch/executorch/cmake-out/examples/models/llama
2025-03-21T20:27:43.2110034Z + cmake --build cmake-out/examples/models/llama -j9 --config Release
2025-03-21T20:27:43.2111597Z [  0%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/log_severity.dir/log_severity.cc.o
2025-03-21T20:27:43.2113317Z [  0%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/spinlock_wait.dir/internal/spinlock_wait.cc.o
2025-03-21T20:27:43.2115114Z [  0%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/strerror.dir/internal/strerror.cc.o
2025-03-21T20:27:43.2116869Z [  0%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_fixed.cc.o
2025-03-21T20:27:43.2118344Z [  0%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/leak_check.dir/leak_check.cc.o
2025-03-21T20:27:43.2119838Z [  0%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/utf8_for_code_point.dir/internal/utf8_for_code_point.cc.o
2025-03-21T20:27:43.2121330Z [  1%] Building CXX object runner/abseil-cpp/absl/numeric/CMakeFiles/int128.dir/int128.cc.o
2025-03-21T20:27:43.2122835Z [  1%] Building CXX object runner/abseil-cpp/absl/profiling/CMakeFiles/exponential_biased.dir/internal/exponential_biased.cc.o
2025-03-21T20:27:43.2124644Z [  2%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/civil_time.dir/internal/cctz/src/civil_time_detail.cc.o
2025-03-21T20:27:43.2125977Z [  2%] Linking CXX static library libabsl_spinlock_wait.a
2025-03-21T20:27:43.2126916Z [  3%] Linking CXX static library libabsl_utf8_for_code_point.a
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2025-03-21T20:27:43.2129085Z [  4%] Built target spinlock_wait
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2025-03-21T20:27:43.2129886Z [  4%] Built target utf8_for_code_point
2025-03-21T20:27:43.2130346Z [  4%] Built target leak_check
2025-03-21T20:27:43.2131851Z [  4%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_commandlineflag_internal.dir/internal/commandlineflag.cc.o
2025-03-21T20:27:43.2133539Z [  4%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_nullguard.dir/internal/nullguard.cc.o
2025-03-21T20:27:43.2135087Z [  5%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_seed_gen_exception.dir/seed_gen_exception.cc.o
2025-03-21T20:27:43.2136734Z [  6%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_platform.dir/internal/randen_round_keys.cc.o
2025-03-21T20:27:43.2138044Z [  6%] Linking CXX static library libabsl_civil_time.a
2025-03-21T20:27:43.2138661Z [  6%] Built target civil_time
2025-03-21T20:27:43.2139239Z [  7%] Linking CXX static library libabsl_log_severity.a
2025-03-21T20:27:43.2140376Z [  8%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_format.cc.o
2025-03-21T20:27:43.2141271Z [  8%] Built target log_severity
2025-03-21T20:27:43.2142356Z [  9%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/decode_rust_punycode.dir/internal/decode_rust_punycode.cc.o
2025-03-21T20:27:43.2143915Z [  9%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_if.cc.o
2025-03-21T20:27:43.2144945Z [  9%] Linking CXX static library libabsl_int128.a
2025-03-21T20:27:43.2145714Z [ 10%] Linking CXX static library libabsl_exponential_biased.a
2025-03-21T20:27:43.2146606Z [ 10%] Linking CXX static library libabsl_random_internal_platform.a
2025-03-21T20:27:43.2147488Z [ 10%] Linking CXX static library libabsl_log_internal_nullguard.a
2025-03-21T20:27:43.2148384Z [ 11%] Linking CXX static library libabsl_flags_commandlineflag_internal.a
2025-03-21T20:27:43.2149096Z [ 11%] Built target int128
2025-03-21T20:27:43.2149507Z [ 11%] Built target exponential_biased
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2025-03-21T20:27:43.2152052Z [ 12%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/raw_logging_internal.dir/internal/raw_logging.cc.o
2025-03-21T20:27:43.2153286Z [ 12%] Linking CXX static library libabsl_random_seed_gen_exception.a
2025-03-21T20:27:43.2154503Z [ 12%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_impl.cc.o
2025-03-21T20:27:43.2156129Z [ 12%] Building CXX object runner/abseil-cpp/absl/profiling/CMakeFiles/periodic_sampler.dir/internal/periodic_sampler.cc.o
2025-03-21T20:27:43.2158162Z [ 12%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_randen_hwaes_impl.dir/internal/randen_hwaes.cc.o
2025-03-21T20:27:43.2160333Z [ 12%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_randen_slow.dir/internal/randen_slow.cc.o
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2025-03-21T20:27:43.2163135Z [ 13%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_info.cc.o
2025-03-21T20:27:43.2165165Z [ 13%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_libc.cc.o
2025-03-21T20:27:43.2166658Z [ 13%] Linking CXX static library libabsl_decode_rust_punycode.a
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2025-03-21T20:27:43.2169258Z [ 13%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_lookup.cc.o
2025-03-21T20:27:43.2170240Z [ 13%] Built target decode_rust_punycode
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2025-03-21T20:27:43.2171794Z [ 14%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time_zone.dir/internal/cctz/src/time_zone_posix.cc.o
2025-03-21T20:27:43.2173347Z [ 14%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/demangle_rust.dir/internal/demangle_rust.cc.o
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2025-03-21T20:27:43.2179220Z [ 15%] Linking CXX static library libabsl_random_internal_randen_slow.a
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2025-03-21T20:27:43.2184729Z [ 16%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/base.dir/internal/thread_identity.cc.o
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2025-03-21T20:27:43.2186701Z [ 18%] Linking CXX static library libabsl_random_internal_randen_hwaes_impl.a
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2025-03-21T20:27:43.2188381Z [ 18%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/throw_delegate.dir/internal/throw_delegate.cc.o
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2025-03-21T20:27:44.1747802Z [ 20%] Linking CXX static library libabsl_time_zone.a
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2025-03-21T20:27:44.1795531Z [ 31%] Built target debugging_internal
2025-03-21T20:27:44.1796891Z [ 32%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_conditions.dir/internal/conditions.cc.o
2025-03-21T20:27:44.1798897Z [ 32%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_randen.dir/internal/randen.cc.o
2025-03-21T20:27:44.1800614Z [ 33%] Linking CXX static library libabsl_demangle_internal.a
2025-03-21T20:27:44.1801704Z [ 33%] Linking CXX static library libabsl_crc_cpu_detect.a
2025-03-21T20:27:44.1802916Z [ 34%] Linking CXX static library libabsl_malloc_internal.a
2025-03-21T20:27:44.1803760Z [ 34%] Built target demangle_internal
2025-03-21T20:27:44.1805019Z [ 35%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/stacktrace.dir/stacktrace.cc.o
2025-03-21T20:27:44.1806072Z [ 35%] Built target malloc_internal
2025-03-21T20:27:44.1806641Z [ 35%] Built target crc_cpu_detect
2025-03-21T20:27:44.1807459Z [ 35%] Linking CXX static library libabsl_string_view.a
2025-03-21T20:27:44.1809223Z [ 35%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/graphcycles_internal.dir/internal/graphcycles.cc.o
2025-03-21T20:27:44.1811198Z [ 36%] Building CXX object runner/abseil-cpp/absl/base/CMakeFiles/poison.dir/internal/poison.cc.o
2025-03-21T20:27:44.1812606Z [ 36%] Linking CXX static library libabsl_log_internal_conditions.a
2025-03-21T20:27:44.1813405Z [ 36%] Built target string_view
2025-03-21T20:27:44.1813917Z [ 36%] Built target log_internal_conditions
2025-03-21T20:27:44.1815187Z [ 36%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc_internal.dir/internal/crc.cc.o
2025-03-21T20:27:44.1817079Z [ 37%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc_internal.dir/internal/crc_x86_arm_combined.cc.o
2025-03-21T20:27:44.1818615Z [ 37%] Linking CXX static library libabsl_city.a
2025-03-21T20:27:44.1819656Z [ 37%] Linking CXX static library libabsl_random_internal_randen.a
2025-03-21T20:27:44.1820476Z [ 37%] Built target city
2025-03-21T20:27:44.1820958Z [ 37%] Built target random_internal_randen
2025-03-21T20:27:44.1821775Z [ 37%] Linking CXX static library libabsl_stacktrace.a
2025-03-21T20:27:44.1822795Z [ 38%] Linking CXX static library libabsl_strings_internal.a
2025-03-21T20:27:44.1823734Z [ 38%] Linking CXX static library libabsl_poison.a
2025-03-21T20:27:44.1824529Z [ 38%] Built target stacktrace
2025-03-21T20:27:44.1825336Z [ 38%] Linking CXX static library libabsl_low_level_hash.a
2025-03-21T20:27:44.1826051Z [ 38%] Built target strings_internal
2025-03-21T20:27:44.1827240Z [ 39%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/ascii.cc.o
2025-03-21T20:27:44.1828942Z [ 39%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/charconv.cc.o
2025-03-21T20:27:44.1830690Z [ 39%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/escaping.cc.o
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2025-03-21T20:27:44.1832944Z [ 40%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/charconv_bigint.cc.o
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2025-03-21T20:27:44.1835421Z [ 40%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/charconv_parse.cc.o
2025-03-21T20:27:44.1837565Z [ 40%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/damerau_levenshtein_distance.cc.o
2025-03-21T20:27:44.1839216Z [ 41%] Linking CXX static library libabsl_graphcycles_internal.a
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2025-03-21T20:27:44.1841133Z [ 42%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/memutil.cc.o
2025-03-21T20:27:44.1842859Z [ 42%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/internal/stringify_sink.cc.o
2025-03-21T20:27:44.1844168Z [ 42%] Linking CXX static library libabsl_crc_internal.a
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2025-03-21T20:27:44.1845972Z [ 42%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/match.cc.o
2025-03-21T20:27:44.1847495Z [ 43%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/numbers.cc.o
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2025-03-21T20:27:44.1852222Z [ 44%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/str_split.cc.o
2025-03-21T20:27:44.1853854Z [ 44%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/strings.dir/substitute.cc.o
2025-03-21T20:27:44.1855235Z [ 44%] Linking CXX static library libabsl_strings.a
2025-03-21T20:27:44.1856103Z [ 44%] Built target strings
2025-03-21T20:27:44.1857370Z [ 44%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/symbolize.dir/symbolize.cc.o
2025-03-21T20:27:44.1859143Z [ 44%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/civil_time.cc.o
2025-03-21T20:27:44.1861062Z [ 45%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_commandlineflag.dir/commandlineflag.cc.o
2025-03-21T20:27:44.1863318Z [ 47%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/arg.cc.o
2025-03-21T20:27:44.1865366Z [ 47%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_proto.dir/internal/proto.cc.o
2025-03-21T20:27:44.1867290Z [ 47%] Building CXX object runner/abseil-cpp/absl/hash/CMakeFiles/hash.dir/internal/hash.cc.o
2025-03-21T20:27:44.1869368Z [ 47%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_seed_material.dir/internal/seed_material.cc.o
2025-03-21T20:27:44.1871467Z [ 48%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_fnmatch.dir/internal/fnmatch.cc.o
2025-03-21T20:27:45.6618327Z [ 48%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_distributions.dir/discrete_distribution.cc.o
2025-03-21T20:27:45.6619990Z [ 48%] Linking CXX static library libabsl_log_internal_proto.a
2025-03-21T20:27:45.6621174Z [ 48%] Linking CXX static library libabsl_flags_commandlineflag.a
2025-03-21T20:27:45.6622248Z [ 49%] Linking CXX static library libabsl_symbolize.a
2025-03-21T20:27:45.6622973Z [ 49%] Built target log_internal_proto
2025-03-21T20:27:45.6623568Z [ 49%] Built target flags_commandlineflag
2025-03-21T20:27:45.6625790Z [ 49%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_distributions.dir/gaussian_distribution.cc.o
2025-03-21T20:27:45.6627632Z [ 49%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/clock.cc.o
2025-03-21T20:27:45.6628530Z [ 49%] Built target symbolize
2025-03-21T20:27:45.6629607Z [ 50%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/duration.cc.o
2025-03-21T20:27:45.6631132Z [ 50%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/format.cc.o
2025-03-21T20:27:45.6632524Z [ 50%] Linking CXX static library libabsl_random_internal_seed_material.a
2025-03-21T20:27:45.6634312Z [ 50%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/bind.cc.o
2025-03-21T20:27:45.6635837Z [ 50%] Linking CXX static library libabsl_hash.a
2025-03-21T20:27:45.6637473Z [ 50%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/extension.cc.o
2025-03-21T20:27:45.6638836Z [ 50%] Built target random_internal_seed_material
2025-03-21T20:27:45.6639446Z [ 50%] Built target hash
2025-03-21T20:27:45.6640963Z [ 50%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_private_handle_accessor.dir/internal/private_handle_accessor.cc.o
2025-03-21T20:27:45.6643428Z [ 50%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_pool_urbg.dir/internal/pool_urbg.cc.o
2025-03-21T20:27:45.6644987Z [ 51%] Linking CXX static library libabsl_log_internal_fnmatch.a
2025-03-21T20:27:45.6645706Z [ 51%] Built target log_internal_fnmatch
2025-03-21T20:27:45.6647314Z [ 52%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/float_conversion.cc.o
2025-03-21T20:27:45.6649095Z [ 52%] Linking CXX static library libabsl_random_distributions.a
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2025-03-21T20:27:45.6651518Z [ 52%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/output.cc.o
2025-03-21T20:27:45.6653910Z [ 53%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/examine_stack.dir/internal/examine_stack.cc.o
2025-03-21T20:27:45.6655746Z [ 54%] Building CXX object runner/abseil-cpp/absl/time/CMakeFiles/time.dir/time.cc.o
2025-03-21T20:27:45.6657519Z [ 54%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/str_format_internal.dir/internal/str_format/parser.cc.o
2025-03-21T20:27:45.6659160Z [ 54%] Linking CXX static library libabsl_flags_private_handle_accessor.a
2025-03-21T20:27:45.6660073Z [ 54%] Built target flags_private_handle_accessor
2025-03-21T20:27:45.6661049Z [ 55%] Linking CXX static library libabsl_random_internal_pool_urbg.a
2025-03-21T20:27:45.6662037Z [ 55%] Built target random_internal_pool_urbg
2025-03-21T20:27:45.6663525Z [ 55%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_seed_sequences.dir/seed_sequences.cc.o
2025-03-21T20:27:45.6665091Z [ 55%] Linking CXX static library libabsl_examine_stack.a
2025-03-21T20:27:45.6665845Z [ 55%] Built target examine_stack
2025-03-21T20:27:45.6667401Z [ 55%] Building CXX object runner/abseil-cpp/absl/debugging/CMakeFiles/failure_signal_handler.dir/failure_signal_handler.cc.o
2025-03-21T20:27:45.6668944Z [ 55%] Linking CXX static library libabsl_time.a
2025-03-21T20:27:45.6669946Z [ 56%] Linking CXX static library libabsl_str_format_internal.a
2025-03-21T20:27:45.6670689Z [ 56%] Built target time
2025-03-21T20:27:45.6671922Z [ 57%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_internal_globals.dir/internal/globals.cc.o
2025-03-21T20:27:45.6674061Z [ 58%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/kernel_timeout_internal.dir/internal/kernel_timeout.cc.o
2025-03-21T20:27:45.6675951Z [ 59%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_entry.dir/log_entry.cc.o
2025-03-21T20:27:45.6677244Z [ 59%] Linking CXX static library libabsl_random_seed_sequences.a
2025-03-21T20:27:45.6678029Z [ 59%] Built target str_format_internal
2025-03-21T20:27:45.6679333Z [ 59%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_marshalling.dir/marshalling.cc.o
2025-03-21T20:27:45.6681132Z [ 59%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/internal/crc_memcpy_fallback.cc.o
2025-03-21T20:27:45.6682831Z [ 59%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/crc32c.cc.o
2025-03-21T20:27:45.6684772Z [ 60%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_distribution_test_util.dir/internal/chi_square.cc.o
2025-03-21T20:27:45.6685991Z [ 60%] Built target random_seed_sequences
2025-03-21T20:27:45.6687358Z [ 61%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/internal/crc_memcpy_x86_arm_combined.cc.o
2025-03-21T20:27:45.6688893Z [ 61%] Linking CXX static library libabsl_log_internal_globals.a
2025-03-21T20:27:45.6689974Z [ 61%] Linking CXX static library libabsl_failure_signal_handler.a
2025-03-21T20:27:45.6691083Z [ 62%] Linking CXX static library libabsl_log_entry.a
2025-03-21T20:27:45.6692078Z [ 62%] Linking CXX static library libabsl_kernel_timeout_internal.a
2025-03-21T20:27:45.6692824Z [ 62%] Built target failure_signal_handler
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2025-03-21T20:27:45.6694700Z [ 62%] Building CXX object runner/abseil-cpp/absl/random/CMakeFiles/random_internal_distribution_test_util.dir/internal/distribution_test_util.cc.o
2025-03-21T20:27:45.6696599Z [ 62%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc32c.dir/internal/crc_non_temporal_memcpy.cc.o
2025-03-21T20:27:45.6697735Z [ 62%] Built target log_entry
2025-03-21T20:27:45.6698286Z [ 62%] Built target kernel_timeout_internal
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2025-03-21T20:27:45.6700767Z [ 62%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_sink.dir/log_sink.cc.o
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2025-03-21T20:27:45.6702933Z [ 63%] Linking CXX static library libabsl_flags_marshalling.a
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2025-03-21T20:27:45.6705414Z [ 64%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/create_thread_identity.cc.o
2025-03-21T20:27:45.6706273Z [ 64%] Built target flags_marshalling
2025-03-21T20:27:45.6707130Z [ 64%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/futex_waiter.cc.o
2025-03-21T20:27:45.6708365Z [ 64%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/per_thread_sem.cc.o
2025-03-21T20:27:45.6709364Z [ 64%] Linking CXX static library libabsl_random_internal_distribution_test_util.a
2025-03-21T20:27:45.6710014Z [ 64%] Linking CXX static library libabsl_log_sink.a
2025-03-21T20:27:45.6710475Z [ 64%] Built target random_internal_distribution_test_util
2025-03-21T20:27:45.6711373Z [ 65%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/internal/pthread_waiter.cc.o
2025-03-21T20:27:45.6712094Z [ 65%] Built target log_sink
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2025-03-21T20:27:45.6717394Z [ 66%] Linking CXX static library libabsl_log_internal_format.a
2025-03-21T20:27:45.6717851Z [ 66%] Built target log_internal_format
2025-03-21T20:27:45.6718617Z [ 66%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/notification.cc.o
2025-03-21T20:27:45.6719696Z [ 67%] Building CXX object runner/abseil-cpp/absl/synchronization/CMakeFiles/synchronization.dir/mutex.cc.o
2025-03-21T20:27:45.6720465Z [ 68%] Linking CXX static library libabsl_crc32c.a
2025-03-21T20:27:45.6720860Z [ 68%] Built target crc32c
2025-03-21T20:27:45.6721563Z [ 68%] Building CXX object runner/abseil-cpp/absl/crc/CMakeFiles/crc_cord_state.dir/internal/crc_cord_state.cc.o
2025-03-21T20:27:45.6722439Z [ 68%] Linking CXX static library libabsl_synchronization.a
2025-03-21T20:27:45.6722909Z [ 68%] Built target synchronization
2025-03-21T20:27:45.6723678Z [ 69%] Building CXX object runner/abseil-cpp/absl/flags/CMakeFiles/flags_program_name.dir/internal/program_name.cc.o
2025-03-21T20:27:45.6724937Z [ 69%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cordz_handle.dir/internal/cordz_handle.cc.o
2025-03-21T20:27:45.6726090Z [ 70%] Building CXX object runner/abseil-cpp/absl/container/CMakeFiles/hashtablez_sampler.dir/internal/hashtablez_sampler.cc.o
2025-03-21T20:27:47.7602589Z [ 70%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/vlog_config_internal.dir/internal/vlog_config.cc.o
2025-03-21T20:27:47.7604993Z [ 70%] Building CXX object runner/abseil-cpp/absl/container/CMakeFiles/hashtablez_sampler.dir/internal/hashtablez_sampler_force_weak_definition.cc.o
2025-03-21T20:27:47.7607043Z [ 70%] Linking CXX static library libabsl_crc_cord_state.a
2025-03-21T20:27:47.7607759Z [ 70%] Built target crc_cord_state
2025-03-21T20:27:47.7608999Z [ 70%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_internal.cc.o
2025-03-21T20:27:47.7610912Z [ 71%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_btree_navigator.cc.o
2025-03-21T20:27:47.7612813Z [ 71%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_btree_reader.cc.o
2025-03-21T20:27:47.7614732Z [ 71%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_btree.cc.o
2025-03-21T20:27:47.7615960Z [ 72%] Linking CXX static library libabsl_vlog_config_internal.a
2025-03-21T20:27:47.7617046Z [ 72%] Linking CXX static library libabsl_cordz_handle.a
2025-03-21T20:27:47.7618080Z [ 72%] Linking CXX static library libabsl_flags_program_name.a
2025-03-21T20:27:47.7619542Z [ 72%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_crc.cc.o
2025-03-21T20:27:47.7620791Z [ 72%] Built target cordz_handle
2025-03-21T20:27:47.7621342Z [ 72%] Built target vlog_config_internal
2025-03-21T20:27:47.7621950Z [ 72%] Built target flags_program_name
2025-03-21T20:27:47.7623422Z [ 73%] Building CXX object runner/abseil-cpp/absl/strings/CMakeFiles/cord_internal.dir/internal/cord_rep_consume.cc.o
2025-03-21T20:27:47.7625400Z [ 74%] Building CXX object runner/abseil-cpp/absl/log/CMakeFiles/log_globals.dir/globals.cc.o
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2025-03-21T20:27:47.7628621Z [ 74%] Linking CXX static library libabsl_hashtablez_sampler.a
2025-03-21T20:27:47.7629459Z [ 74%] Built target hashtablez_sampler
2025-03-21T20:27:47.7630332Z [ 74%] Linking CXX static library libabsl_log_globals.a
2025-03-21T20:27:47.7631343Z [ 74%] Linking CXX static library libabsl_cord_internal.a
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2025-03-21T20:27:47.7732875Z [ 94%] Linking CXX static library libre2.a
2025-03-21T20:27:47.7733226Z [ 94%] Built target re2
2025-03-21T20:49:47.1203562Z [ 95%] Building CXX object runner/CMakeFiles/llama_runner.dir/runner.cpp.o
2025-03-21T20:49:47.1204443Z [ 95%] Building CXX object runner/CMakeFiles/llama_runner.dir/__/tokenizer/llama_tiktoken.cpp.o
2025-03-21T20:49:47.1205538Z [ 95%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/evalue_util/print_evalue.cpp.o
2025-03-21T20:49:47.1206748Z [ 96%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/runner/text_decoder_runner.cpp.o
2025-03-21T20:49:47.1208167Z [ 96%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/runner/text_prefiller.cpp.o
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2025-03-21T20:49:47.1211698Z [ 97%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/bpe_tokenizer_base.cpp.o
2025-03-21T20:49:47.1212611Z [ 98%] Linking CXX static library libabsl_flags_parse.a
2025-03-21T20:49:47.1213030Z [ 98%] Built target flags_parse
2025-03-21T20:49:47.1213966Z [ 98%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o
2025-03-21T20:49:47.1215215Z [ 99%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/tiktoken.cpp.o
2025-03-21T20:49:47.1216351Z [ 99%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr.cpp.o
2025-03-21T20:49:47.1217465Z [100%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o
2025-03-21T20:49:47.1218299Z [100%] Linking CXX shared library libllama_runner.so
2025-03-21T20:49:47.1218707Z [100%] Built target llama_runner
2025-03-21T20:49:47.1219202Z [100%] Building CXX object CMakeFiles/llama_main.dir/main.cpp.o
2025-03-21T20:49:47.1219837Z [100%] Linking CXX executable llama_main
2025-03-21T20:49:47.1220275Z [100%] Built target llama_main
2025-03-21T20:49:47.1220556Z ++ date +%H:%M:%S
2025-03-21T20:49:47.1220804Z + NOW=20:27:48
2025-03-21T20:49:47.1221087Z + echo 'Starting to run llama runner at 20:27:48'
2025-03-21T20:49:47.1221471Z Starting to run llama runner at 20:27:48
2025-03-21T20:49:47.1222325Z + 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
2025-03-21T20:49:47.1223320Z [INFO] [Qnn ExecuTorch]: Deserializing processed data using QnnContextCustomProtocol
2025-03-21T20:49:47.1223893Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2
2025-03-21T20:49:47.1224605Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Initializing HtpProvider
2025-03-21T20:49:47.1224919Z 
2025-03-21T20:49:47.1225228Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2
2025-03-21T20:49:47.1225827Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in RESTORE MODE.
2025-03-21T20:49:47.1226490Z [INFO] [Qnn ExecuTorch]: QnnContextCustomProtocol expected magic number: 0x5678abcd but get: 0x2000000
2025-03-21T20:49:47.1227190Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Performance Estimates unsupported
2025-03-21T20:49:47.1227527Z 
2025-03-21T20:49:47.1227970Z [WARNING] [Qnn ExecuTorch]: QnnDsp <W> Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75
2025-03-21T20:49:47.1228536Z 
2025-03-21T20:49:47.1228694Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization.
2025-03-21T20:49:47.1229169Z invalid char[INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters
2025-03-21T20:49:47.1229625Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context
2025-03-21T20:49:47.1229995Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device
2025-03-21T20:49:47.1230359Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend
2025-03-21T20:49:47.1230679Z ++ date +%H:%M:%S
2025-03-21T20:49:47.1230924Z + NOW=20:49:47
2025-03-21T20:49:47.1231179Z + echo 'Finished at 20:49:47'
2025-03-21T20:49:47.1231474Z Finished at 20:49:47
2025-03-21T20:49:47.1231743Z ++ cat result.txt
2025-03-21T20:49:47.1232029Z + RESULT='Once upon a time, there was a little girl
2025-03-21T20:49:47.1233520Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588868905,"model_load_end_ms":1742588869256,"inference_start_ms":1742589474882,"inference_end_ms":1742590187046,"prompt_eval_end_ms":1742589596083,"first_token_ms":1742589596083,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000}'
2025-03-21T20:49:47.1234913Z + EXPECTED_PREFIX='Once upon a time,'
2025-03-21T20:49:47.1235272Z + [[ Once upon a time, there was a little girl
2025-03-21T20:49:47.1236794Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588868905,"model_load_end_ms":1742588869256,"inference_start_ms":1742589474882,"inference_end_ms":1742590187046,"prompt_eval_end_ms":1742589596083,"first_token_ms":1742589596083,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000} == \O\n\c\e\ \u\p\o\n\ \a\ \t\i\m\e\,* ]]
2025-03-21T20:49:47.1238375Z + echo 'Expected result prefix: Once upon a time,'
2025-03-21T20:49:47.1238769Z Expected result prefix: Once upon a time,
2025-03-21T20:49:47.1239199Z + echo 'Actual result: Once upon a time, there was a little girl
2025-03-21T20:49:47.1240634Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588868905,"model_load_end_ms":1742588869256,"inference_start_ms":1742589474882,"inference_end_ms":1742590187046,"prompt_eval_end_ms":1742589596083,"first_token_ms":1742589596083,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000}'
2025-03-21T20:49:47.1242055Z Actual result: Once upon a time, there was a little girl
2025-03-21T20:49:47.1243598Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742588868905,"model_load_end_ms":1742588869256,"inference_start_ms":1742589474882,"inference_end_ms":1742590187046,"prompt_eval_end_ms":1742589596083,"first_token_ms":1742589596083,"aggregate_sampling_time_ms":1,"SCALING_FACTOR_UNITS_PER_SECOND":1000}
2025-03-21T20:49:47.1244994Z + echo Success
2025-03-21T20:49:47.1245234Z Success
2025-03-21T20:49:47.1245477Z + prepare_artifacts_upload
2025-03-21T20:49:47.1245764Z + '[' -n '' ']'
2025-03-21T20:49:47.1245995Z + cleanup_files
2025-03-21T20:49:47.1246287Z + echo 'Deleting downloaded and generated files'
2025-03-21T20:49:47.1246664Z Deleting downloaded and generated files
2025-03-21T20:49:47.1246997Z + rm stories110M.pt
2025-03-21T20:49:47.1247256Z + rm tokenizer.model
2025-03-21T20:49:47.1247505Z + rm tokenizer.bin
2025-03-21T20:49:47.1247766Z + rm tinyllama_qnn_fp32.pte
2025-03-21T20:49:47.1248046Z + rm result.txt
2025-03-21T20:49:47.1248291Z + rm params.json
2025-03-21T20:49:47.1298977Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2025-03-21T20:49:47.1299377Z with:
2025-03-21T20:49:47.1299827Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:47.1300269Z   fail-on-empty: false
2025-03-21T20:49:47.1300586Z env:
2025-03-21T20:49:47.1300855Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:47.1301234Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:47.1301545Z   PR_NUMBER: 
2025-03-21T20:49:47.1304698Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:47.1307991Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:47.1308591Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:47.1309157Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:47.1309550Z ##[endgroup]
2025-03-21T20:49:47.1873291Z Prepare all required actions
2025-03-21T20:49:47.1912262Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:49:47.1912653Z with:
2025-03-21T20:49:47.1913029Z   directory: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:49:47.1913612Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:47.1914049Z env:
2025-03-21T20:49:47.1914312Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:47.1914698Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:47.1915000Z   PR_NUMBER: 
2025-03-21T20:49:47.1918126Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:47.1921494Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:47.1922155Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:47.1922813Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:47.1923221Z ##[endgroup]
2025-03-21T20:49:47.1948747Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:47.1949475Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:47.1958688Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:47.1959090Z env:
2025-03-21T20:49:47.1959379Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:47.1959760Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:47.1960070Z   PR_NUMBER: 
2025-03-21T20:49:47.1963243Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:47.1967175Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:47.1968166Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:47.1969048Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:47.1970004Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:47.1970727Z   DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/
2025-03-21T20:49:47.1971176Z ##[endgroup]
2025-03-21T20:49:47.2249302Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2025-03-21T20:49:47.4649663Z latest: Pulling from tool/alpine
2025-03-21T20:49:47.4652387Z 540db60ca938: Pulling fs layer
2025-03-21T20:49:47.5938850Z 540db60ca938: Verifying Checksum
2025-03-21T20:49:47.5939628Z 540db60ca938: Download complete
2025-03-21T20:49:47.6738415Z 540db60ca938: Pull complete
2025-03-21T20:49:47.6849238Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-03-21T20:49:47.6892266Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-03-21T20:49:49.0361433Z Prepare all required actions
2025-03-21T20:49:49.0388169Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-03-21T20:49:49.0388558Z with:
2025-03-21T20:49:49.0388858Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:49:49.0389366Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:49.0389892Z env:
2025-03-21T20:49:49.0390175Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:49.0390564Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:49.0390858Z   PR_NUMBER: 
2025-03-21T20:49:49.0393993Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:49.0397335Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:49.0397939Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:49.0398507Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:49.0398904Z ##[endgroup]
2025-03-21T20:49:49.0422278Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:49.0422993Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-03-21T20:49:49.0429912Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:49.0430309Z env:
2025-03-21T20:49:49.0430582Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:49.0430973Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:49.0431278Z   PR_NUMBER: 
2025-03-21T20:49:49.0434355Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:49.0437856Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:49.0438472Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:49.0439043Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:49.0439581Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-03-21T20:49:49.0440085Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-03-21T20:49:49.0440455Z ##[endgroup]
2025-03-21T20:49:49.9842267Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-03-21T20:49:49.9843005Z # Only do these steps if we actually want to upload an artifact
2025-03-21T20:49:49.9843491Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-03-21T20:49:49.9844060Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-03-21T20:49:49.9844694Z   # attempt to just grab whatever is in there and scoop it all up
2025-03-21T20:49:49.9845222Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-03-21T20:49:49.9845672Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:49:49.9846119Z   fi
2025-03-21T20:49:49.9846425Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-03-21T20:49:49.9846901Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-03-21T20:49:49.9847321Z   fi
2025-03-21T20:49:49.9847601Z fi
2025-03-21T20:49:49.9847834Z 
2025-03-21T20:49:49.9848058Z upload_docs=0
2025-03-21T20:49:49.9848477Z # Check if there are files in the documentation folder to upload, note that
2025-03-21T20:49:49.9848960Z # empty folders do not count
2025-03-21T20:49:49.9849434Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-03-21T20:49:49.9850051Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-03-21T20:49:49.9850631Z   # upload will probably not work correctly
2025-03-21T20:49:49.9850982Z   upload_docs=1
2025-03-21T20:49:49.9851255Z fi
2025-03-21T20:49:49.9851596Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-03-21T20:49:49.9857769Z shell: /usr/bin/bash -e {0}
2025-03-21T20:49:49.9858067Z env:
2025-03-21T20:49:49.9858355Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:49.9858747Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:49.9859055Z   PR_NUMBER: 
2025-03-21T20:49:49.9862159Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:49.9865446Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:49.9866051Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:49.9866622Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:49.9867060Z   UPLOAD_ARTIFACT_NAME: 
2025-03-21T20:49:49.9867328Z ##[endgroup]
2025-03-21T20:49:49.9979190Z Prepare all required actions
2025-03-21T20:49:50.0014778Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-03-21T20:49:50.0015159Z with:
2025-03-21T20:49:50.0015380Z env:
2025-03-21T20:49:50.0015664Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:50.0016030Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:50.0016335Z   PR_NUMBER: 
2025-03-21T20:49:50.0019488Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:50.0022786Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:50.0023392Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:50.0024029Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:50.0024700Z ##[endgroup]
2025-03-21T20:49:50.0049965Z ##[group]Run set -eou pipefail
2025-03-21T20:49:50.0050309Z set -eou pipefail
2025-03-21T20:49:50.0050585Z 
2025-03-21T20:49:50.0050974Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-03-21T20:49:50.0051457Z for _ in $(seq 1440); do
2025-03-21T20:49:50.0051812Z     # Break if no ssh session exists anymore
2025-03-21T20:49:50.0052188Z     if [ "$(who)" = "" ]; then
2025-03-21T20:49:50.0052498Z       break
2025-03-21T20:49:50.0052758Z     fi
2025-03-21T20:49:50.0053006Z     echo "."
2025-03-21T20:49:50.0053350Z     sleep 5
2025-03-21T20:49:50.0053610Z done
2025-03-21T20:49:50.0058755Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:50.0059142Z env:
2025-03-21T20:49:50.0059430Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:50.0059819Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:50.0060126Z   PR_NUMBER: 
2025-03-21T20:49:50.0063203Z   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}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:50.0066478Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:50.0067084Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:50.0067649Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:50.0068054Z ##[endgroup]
2025-03-21T20:49:50.0089435Z Holding runner for 2 hours until all ssh sessions have logged out
2025-03-21T20:49:50.0161884Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:49:50.0162671Z # ignore expansion of "docker ps -q" since it could be empty
2025-03-21T20:49:50.0163122Z # shellcheck disable=SC2046
2025-03-21T20:49:50.0163544Z docker stop $(docker ps -q) || true
2025-03-21T20:49:50.0163913Z # Prune all of the docker images
2025-03-21T20:49:50.0164275Z docker system prune -af
2025-03-21T20:49:50.0169294Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:49:50.0169703Z env:
2025-03-21T20:49:50.0169993Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:49:50.0170368Z   REPOSITORY: pytorch/executorch
2025-03-21T20:49:50.0170676Z   PR_NUMBER: 
2025-03-21T20:49:50.0173801Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:49:50.0177169Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:49:50.0177798Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:49:50.0178386Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:49:50.0178795Z ##[endgroup]
2025-03-21T20:50:00.9555462Z 0cdb4add7457
2025-03-21T20:50:01.7208025Z Deleted Containers:
2025-03-21T20:50:01.7208590Z 0cdb4add745785b131b40a2f6a1fd9361cd169d0e444b120f898322331ca0df3
2025-03-21T20:50:01.7208962Z 
2025-03-21T20:50:04.4443139Z Deleted Images:
2025-03-21T20:50:04.4444231Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4
2025-03-21T20:50:04.4446065Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk@sha256:d38559c98aeb82552e009bbb7b17d76adfa19c8f3fb874ea99a5e76d87757f76
2025-03-21T20:50:04.4447130Z deleted: sha256:a30343f4b72f0dce49d6d4823ed055cd99145a3bc06228740f811eb1decc1863
2025-03-21T20:50:04.4447836Z deleted: sha256:dcbb28d0046263c2430b67be3aa47d5eeae988406651c479166a85d1f2dc5352
2025-03-21T20:50:04.4448487Z deleted: sha256:9eb84eff28220b78ca23a97d30406ba503bed179b002ea84bf7374f638729e3d
2025-03-21T20:50:04.4449154Z deleted: sha256:1e08d848f7a107eb88f5b1a9b4514efc7f1c8dcd0851dd1522bf5910c9a64b6e
2025-03-21T20:50:04.4449865Z deleted: sha256:338177c78bc0a768d9773592fdf8b7b0698a67566a991a8b485100213ca9fbc4
2025-03-21T20:50:04.4450522Z deleted: sha256:1735d6e22433f10e5a460ac53455294f66b52df308d6b6be04dd20bba3bc489b
2025-03-21T20:50:04.4451182Z deleted: sha256:e916ccba91a2ab63063cc7db425ff08ff4285196cf9b87316350e73b07ee4a38
2025-03-21T20:50:04.4451833Z deleted: sha256:50076809f40f30d632e24ddc5aed1a5bd9a9865dd2866c1ab23c86bf633e7962
2025-03-21T20:50:04.4452511Z deleted: sha256:f9be2a6a76147aff49d05a4ea9ab782cc03d178fcdc373fd1823e47d21271049
2025-03-21T20:50:04.4453288Z deleted: sha256:bcff32a2d3890e40a7d4fbff9b5e94b9990921f0d31050cc14aed0fbce2bdabc
2025-03-21T20:50:04.4454014Z deleted: sha256:d109d4f8538bf72481f92b4c500c92c077bca0bc829e607b2641e0012f982281
2025-03-21T20:50:04.4454670Z deleted: sha256:5a0315aad41e328783b21378a977b58eeafc0b12176c2a92ce6261d80cdb9f8a
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2025-03-21T20:50:04.4473365Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
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2025-03-21T20:50:04.4475418Z 
2025-03-21T20:50:04.4514188Z Total reclaimed space: 17.78GB
2025-03-21T20:50:04.4554461Z ##[group]Run set +e
2025-03-21T20:50:04.4554761Z set +e
2025-03-21T20:50:04.4555046Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-03-21T20:50:04.4555473Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:50:04.4555873Z else
2025-03-21T20:50:04.4556176Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-03-21T20:50:04.4556524Z fi
2025-03-21T20:50:04.4556759Z set -e
2025-03-21T20:50:04.4562218Z shell: /usr/bin/bash -e {0}
2025-03-21T20:50:04.4562626Z env:
2025-03-21T20:50:04.4562910Z   DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk
2025-03-21T20:50:04.4563289Z   REPOSITORY: pytorch/executorch
2025-03-21T20:50:04.4563578Z   PR_NUMBER: 
2025-03-21T20:50:04.4566712Z   SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image
CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]")
conda activate "${CONDA_ENV}"

DTYPE=fp32
BUILD_TOOL="cmake"
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}"

2025-03-21T20:50:04.4570003Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-03-21T20:50:04.4570603Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-03-21T20:50:04.4571166Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-03-21T20:50:04.4571573Z   NO_SUDO: false
2025-03-21T20:50:04.4571806Z ##[endgroup]
2025-03-21T20:50:05.6463567Z Post job cleanup.
2025-03-21T20:50:05.7495233Z Post job cleanup.
2025-03-21T20:50:05.8429759Z [command]/usr/bin/git version
2025-03-21T20:50:05.8509575Z git version 2.47.1
2025-03-21T20:50:05.8544208Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/9a90b24d-4778-4e4a-b82c-1d0c65e4d6c0/.gitconfig'
2025-03-21T20:50:05.8553358Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/9a90b24d-4778-4e4a-b82c-1d0c65e4d6c0' before making global git config changes
2025-03-21T20:50:05.8555321Z Adding repository directory to the temporary git global config as a safe directory
2025-03-21T20:50:05.8560367Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra
2025-03-21T20:50:05.8613805Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-03-21T20:50:05.8651929Z [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' || :"
2025-03-21T20:50:05.8982555Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-03-21T20:50:05.9001820Z http.https://github.com/.extraheader
2025-03-21T20:50:05.9013449Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-03-21T20:50:05.9041076Z [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' || :"
2025-03-21T20:50:05.9349328Z A job completed hook has been configured by the self-hosted runner administrator
2025-03-21T20:50:05.9376301Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-03-21T20:50:05.9381382Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-03-21T20:50:05.9381794Z ##[endgroup]
2025-03-21T20:50:14.4827994Z Cleaning up orphan processes