2025-03-21T20:17:40.7978366Z Current runner version: '2.323.0' 2025-03-21T20:17:40.7986199Z Runner name: 'i-0206a2b23ed74ae08' 2025-03-21T20:17:40.7987252Z Runner group name: 'Default' 2025-03-21T20:17:40.7988233Z Machine name: 'ip-10-0-27-208' 2025-03-21T20:17:40.7991543Z ##[group]GITHUB_TOKEN Permissions 2025-03-21T20:17:40.7994359Z Contents: read 2025-03-21T20:17:40.7995132Z Metadata: read 2025-03-21T20:17:40.7995787Z ##[endgroup] 2025-03-21T20:17:40.7999282Z Secret source: Actions 2025-03-21T20:17:40.8000248Z Prepare workflow directory 2025-03-21T20:17:41.1513939Z Prepare all required actions 2025-03-21T20:17:41.1558933Z Getting action download info 2025-03-21T20:17:41.3547281Z Download action repository 'actions/checkout@v4' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683) 2025-03-21T20:17:41.5654715Z Download action repository 'pytorch/pytorch@main' (SHA:c5deacc27a4a29fa141e179535d56d21a0eb734f) 2025-03-21T20:17:53.7700598Z Download action repository 'actions/download-artifact@v4' (SHA:95815c38cf2ff2164869cbab79da8d1f422bc89e) 2025-03-21T20:17:54.0766430Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1) 2025-03-21T20:17:54.1909799Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-03-21T20:17:54.6034590Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-03-21T20:17:54.8731976Z Getting action download info 2025-03-21T20:17:55.0192130Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (c1d92bc76c9d8ecf59b36ef10588c9605c8578d1) 2025-03-21T20:17:55.0194661Z ##[group] Inputs 2025-03-21T20:17:55.0198314Z script: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" # Install requirements for export_llama PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh # Test llama2 PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-03-21T20:17:55.0202442Z timeout: 900 2025-03-21T20:17:55.0202748Z runner: linux.2xlarge 2025-03-21T20:17:55.0203047Z upload-artifact: 2025-03-21T20:17:55.0203676Z upload-artifact-to-s3: false 2025-03-21T20:17:55.0204039Z download-artifact: 2025-03-21T20:17:55.0204335Z repository: 2025-03-21T20:17:55.0204629Z fetch-depth: 1 2025-03-21T20:17:55.0204896Z submodules: true 2025-03-21T20:17:55.0205238Z ref: be92d7d85cb7081ac0a544036da4096a4efa33a8 2025-03-21T20:17:55.0205682Z test-infra-repository: pytorch/test-infra 2025-03-21T20:17:55.0206081Z test-infra-ref: 2025-03-21T20:17:55.0206411Z docker-image: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:17:55.0206815Z docker-build-dir: .ci/docker 2025-03-21T20:17:55.0207149Z gpu-arch-type: cpu 2025-03-21T20:17:55.0207449Z gpu-arch-version: 2025-03-21T20:17:55.0207737Z job-name: linux-job 2025-03-21T20:17:55.0208039Z continue-on-error: false 2025-03-21T20:17:55.0208353Z binary-matrix: 2025-03-21T20:17:55.0208671Z run-with-docker: true 2025-03-21T20:17:55.0208968Z secrets-env: 2025-03-21T20:17:55.0209240Z no-sudo: false 2025-03-21T20:17:55.0209529Z ##[endgroup] 2025-03-21T20:17:55.0209981Z Complete job name: test-llama-runner-qnn-linux (fp32, qnn_16a16w, qnn) / linux-job 2025-03-21T20:17:55.0674583Z A job started hook has been configured by the self-hosted runner administrator 2025-03-21T20:17:55.0784172Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-03-21T20:17:55.0793594Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:17:55.0794703Z ##[endgroup] 2025-03-21T20:17:56.8373337Z Runner Type: linux.2xlarge 2025-03-21T20:17:56.8373842Z Instance Type: c5.2xlarge 2025-03-21T20:17:56.8374154Z AMI Name: unknown 2025-03-21T20:17:56.8400893Z AMI ID: ami-08b5b3a93ed654d19 2025-03-21T20:18:02.4841994Z ##[group]Run set -euxo pipefail 2025-03-21T20:18:02.4842455Z set -euxo pipefail 2025-03-21T20:18:02.4842815Z if [[ "${NO_SUDO}" == "false" ]]; then 2025-03-21T20:18:02.4843267Z  echo "::group::Cleanup with-sudo debug output" 2025-03-21T20:18:02.4843719Z  sudo rm -rfv "${GITHUB_WORKSPACE}" 2025-03-21T20:18:02.4844090Z else 2025-03-21T20:18:02.4844399Z  echo "::group::Cleanup no-sudo debug output" 2025-03-21T20:18:02.4844823Z  rm -rfv "${GITHUB_WORKSPACE}" 2025-03-21T20:18:02.4845177Z fi 2025-03-21T20:18:02.4845429Z  2025-03-21T20:18:02.4845714Z mkdir -p "${GITHUB_WORKSPACE}" 2025-03-21T20:18:02.4846071Z echo "::endgroup::" 2025-03-21T20:18:02.4854974Z shell: /usr/bin/bash -e {0} 2025-03-21T20:18:02.4855325Z env: 2025-03-21T20:18:02.4855629Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:02.4856047Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:02.4856433Z PR_NUMBER: 2025-03-21T20:18:02.4859966Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:02.4863573Z NO_SUDO: false 2025-03-21T20:18:02.4863849Z ##[endgroup] 2025-03-21T20:18:02.4892380Z + [[ false == \f\a\l\s\e ]] 2025-03-21T20:18:02.4903463Z + echo '::group::Cleanup with-sudo debug output' 2025-03-21T20:18:02.4909840Z ##[group]Cleanup with-sudo debug output 2025-03-21T20:18:02.4910451Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/executorch/executorch 2025-03-21T20:18:02.6224656Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/branches' 2025-03-21T20:18:02.6225718Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/hooks/applypatch-msg.sample' 2025-03-21T20:18:02.6226789Z removed '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/hooks/commit-msg.sample' 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'/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra' 2025-03-21T20:18:02.8226807Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch' 2025-03-21T20:18:02.8227095Z removed directory '/home/ec2-user/actions-runner/_work/executorch/executorch' 2025-03-21T20:18:02.8227911Z ##[endgroup] 2025-03-21T20:18:02.8334335Z ##[group]Run actions/checkout@v4 2025-03-21T20:18:02.8334535Z with: 2025-03-21T20:18:02.8334800Z repository: pytorch/test-infra 2025-03-21T20:18:02.8335040Z path: test-infra 2025-03-21T20:18:02.8335240Z submodules: recursive 2025-03-21T20:18:02.8335589Z token: *** 2025-03-21T20:18:02.8335786Z ssh-strict: true 2025-03-21T20:18:02.8335903Z ssh-user: git 2025-03-21T20:18:02.8336162Z persist-credentials: true 2025-03-21T20:18:02.8336298Z clean: true 2025-03-21T20:18:02.8336524Z sparse-checkout-cone-mode: true 2025-03-21T20:18:02.8336667Z fetch-depth: 1 2025-03-21T20:18:02.8336810Z fetch-tags: false 2025-03-21T20:18:02.8337013Z show-progress: true 2025-03-21T20:18:02.8337167Z lfs: false 2025-03-21T20:18:02.8337375Z set-safe-directory: true 2025-03-21T20:18:02.8337512Z env: 2025-03-21T20:18:02.8337710Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:02.8337902Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:02.8338073Z PR_NUMBER: 2025-03-21T20:18:02.8341660Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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}" 2025-03-21T20:18:02.8342007Z ##[endgroup] 2025-03-21T20:18:02.9518265Z Syncing repository: pytorch/test-infra 2025-03-21T20:18:02.9518863Z ##[group]Getting Git version info 2025-03-21T20:18:02.9519356Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra' 2025-03-21T20:18:02.9519966Z [command]/usr/bin/git version 2025-03-21T20:18:02.9520118Z git version 2.47.1 2025-03-21T20:18:02.9535055Z ##[endgroup] 2025-03-21T20:18:02.9543603Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/c7c6bf9e-5925-41e0-afe2-1c39a56825ff/.gitconfig' 2025-03-21T20:18:02.9553439Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/c7c6bf9e-5925-41e0-afe2-1c39a56825ff' before making global git config changes 2025-03-21T20:18:02.9553909Z Adding repository directory to the temporary git global config as a safe directory 2025-03-21T20:18:02.9560247Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra 2025-03-21T20:18:02.9595935Z ##[group]Initializing the repository 2025-03-21T20:18:02.9599688Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra 2025-03-21T20:18:02.9632131Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-03-21T20:18:02.9632702Z hint: is subject to change. To configure the initial branch name to use in all 2025-03-21T20:18:02.9633356Z hint: of your new repositories, which will suppress this warning, call: 2025-03-21T20:18:02.9633707Z hint: 2025-03-21T20:18:02.9634180Z hint: git config --global init.defaultBranch 2025-03-21T20:18:02.9634397Z hint: 2025-03-21T20:18:02.9634920Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-03-21T20:18:02.9635428Z hint: 'development'. The just-created branch can be renamed via this command: 2025-03-21T20:18:02.9635812Z hint: 2025-03-21T20:18:02.9636113Z hint: git branch -m 2025-03-21T20:18:02.9636992Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.git/ 2025-03-21T20:18:02.9646410Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra 2025-03-21T20:18:02.9672229Z ##[endgroup] 2025-03-21T20:18:02.9673142Z ##[group]Disabling automatic garbage collection 2025-03-21T20:18:02.9677145Z [command]/usr/bin/git config --local gc.auto 0 2025-03-21T20:18:02.9702206Z ##[endgroup] 2025-03-21T20:18:02.9703030Z ##[group]Setting up auth 2025-03-21T20:18:02.9708896Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-03-21T20:18:02.9736348Z [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' || :" 2025-03-21T20:18:03.0008026Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-03-21T20:18:03.0034745Z [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' || :" 2025-03-21T20:18:03.0308370Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-03-21T20:18:03.0351543Z ##[endgroup] 2025-03-21T20:18:03.0352677Z ##[group]Determining the default branch 2025-03-21T20:18:03.0356120Z Retrieving the default branch name 2025-03-21T20:18:03.2084490Z Default branch 'main' 2025-03-21T20:18:03.2085349Z ##[endgroup] 2025-03-21T20:18:03.2085867Z ##[group]Fetching the repository 2025-03-21T20:18:03.2091289Z [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 2025-03-21T20:18:03.5388343Z From https://github.com/pytorch/test-infra 2025-03-21T20:18:03.5389144Z * [new branch] main -> origin/main 2025-03-21T20:18:03.5411284Z ##[endgroup] 2025-03-21T20:18:03.5412044Z ##[group]Determining the checkout info 2025-03-21T20:18:03.5412955Z ##[endgroup] 2025-03-21T20:18:03.5418159Z [command]/usr/bin/git sparse-checkout disable 2025-03-21T20:18:03.5451805Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-03-21T20:18:03.5477268Z ##[group]Checking out the ref 2025-03-21T20:18:03.5480341Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main 2025-03-21T20:18:03.6329377Z Switched to a new branch 'main' 2025-03-21T20:18:03.6330209Z branch 'main' set up to track 'origin/main'. 2025-03-21T20:18:03.6338555Z ##[endgroup] 2025-03-21T20:18:03.6339409Z ##[group]Setting up auth for fetching submodules 2025-03-21T20:18:03.6343771Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-03-21T20:18:03.6388128Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-03-21T20:18:03.6415975Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-03-21T20:18:03.6442658Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-03-21T20:18:03.6470212Z ##[endgroup] 2025-03-21T20:18:03.6471007Z ##[group]Fetching submodules 2025-03-21T20:18:03.6471629Z [command]/usr/bin/git submodule sync --recursive 2025-03-21T20:18:03.6738415Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-03-21T20:18:03.7009696Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-03-21T20:18:03.7269416Z ##[endgroup] 2025-03-21T20:18:03.7270232Z ##[group]Persisting credentials for submodules 2025-03-21T20:18:03.7274662Z [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' || :" 2025-03-21T20:18:03.7545176Z [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" 2025-03-21T20:18:03.7815063Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-03-21T20:18:03.8080418Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-03-21T20:18:03.8340460Z ##[endgroup] 2025-03-21T20:18:03.8373882Z [command]/usr/bin/git log -1 --format=%H 2025-03-21T20:18:03.8394415Z c1d92bc76c9d8ecf59b36ef10588c9605c8578d1 2025-03-21T20:18:03.8603517Z Prepare all required actions 2025-03-21T20:18:03.8604161Z Getting action download info 2025-03-21T20:18:04.0147555Z Download action repository 'pytorch/test-infra@main' (SHA:c1d92bc76c9d8ecf59b36ef10588c9605c8578d1) 2025-03-21T20:18:05.3980776Z Getting action download info 2025-03-21T20:18:05.5049049Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-03-21T20:18:05.6908086Z ##[group]Run ./test-infra/.github/actions/setup-linux 2025-03-21T20:18:05.6908507Z env: 2025-03-21T20:18:05.6908811Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:05.6909231Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:05.6909562Z PR_NUMBER: 2025-03-21T20:18:05.6913361Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:05.6916863Z ##[endgroup] 2025-03-21T20:18:05.7018312Z ##[group]Run set -euo pipefail 2025-03-21T20:18:05.7018685Z set -euo pipefail 2025-03-21T20:18:05.7019030Z function get_ec2_metadata() { 2025-03-21T20:18:05.7019445Z  # Pulled from instance metadata endpoint for EC2 2025-03-21T20:18:05.7020141Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-03-21T20:18:05.7020761Z  category=$1 2025-03-21T20:18:05.7021717Z  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}" 2025-03-21T20:18:05.7022708Z } 2025-03-21T20:18:05.7023001Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-03-21T20:18:05.7023469Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-03-21T20:18:05.7023994Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-03-21T20:18:05.7024444Z echo "system info $(uname -a)" 2025-03-21T20:18:05.7030502Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:05.7030923Z env: 2025-03-21T20:18:05.7031203Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:05.7031596Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:05.7031899Z PR_NUMBER: 2025-03-21T20:18:05.7035465Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:05.7038952Z ##[endgroup] 2025-03-21T20:18:05.7181245Z ami-id: ami-08b5b3a93ed654d19 2025-03-21T20:18:05.7297465Z instance-id: i-0206a2b23ed74ae08 2025-03-21T20:18:05.7387465Z instance-type: c5.2xlarge 2025-03-21T20:18:05.7398180Z system info Linux ip-10-0-27-208.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 2025-03-21T20:18:05.7434480Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-03-21T20:18:05.7435513Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-03-21T20:18:05.7441607Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:05.7442028Z env: 2025-03-21T20:18:05.7442338Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:05.7442905Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:05.7443235Z PR_NUMBER: 2025-03-21T20:18:05.7446648Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:18:05.7450140Z ##[endgroup] 2025-03-21T20:18:05.7525549Z ##[group]Run if systemctl is-active --quiet docker; then 2025-03-21T20:18:05.7526067Z if systemctl is-active --quiet docker; then 2025-03-21T20:18:05.7526514Z  echo "Docker daemon is running..."; 2025-03-21T20:18:05.7526907Z else 2025-03-21T20:18:05.7527300Z  echo "Starting docker deamon..." && sudo systemctl start docker; 2025-03-21T20:18:05.7527787Z fi 2025-03-21T20:18:05.7533263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:05.7533698Z env: 2025-03-21T20:18:05.7533997Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:05.7534404Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:05.7534718Z PR_NUMBER: 2025-03-21T20:18:05.7538159Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:05.7541660Z ##[endgroup] 2025-03-21T20:18:05.7612599Z Docker daemon is running... 2025-03-21T20:18:05.7641642Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-03-21T20:18:05.7642362Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-03-21T20:18:05.7642949Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2025-03-21T20:18:05.7643621Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ 2025-03-21T20:18:05.7644447Z  --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2025-03-21T20:18:05.7650167Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:05.7650601Z env: 2025-03-21T20:18:05.7650898Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:05.7651306Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:05.7651620Z PR_NUMBER: 2025-03-21T20:18:05.7655020Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:18:05.7658611Z AWS_RETRY_MODE: standard 2025-03-21T20:18:05.7658922Z AWS_MAX_ATTEMPTS: 5 2025-03-21T20:18:05.7659212Z AWS_DEFAULT_REGION: us-east-1 2025-03-21T20:18:05.7659532Z ##[endgroup] 2025-03-21T20:18:06.8130381Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-03-21T20:18:06.8131494Z Configure a credential helper to remove this warning. See 2025-03-21T20:18:06.8132246Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-03-21T20:18:06.8132769Z 2025-03-21T20:18:06.8132899Z Login Succeeded 2025-03-21T20:18:06.8180448Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-03-21T20:18:06.8181129Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-03-21T20:18:06.8181707Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-03-21T20:18:06.8187877Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:06.8188307Z env: 2025-03-21T20:18:06.8188607Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:06.8189018Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:06.8189351Z PR_NUMBER: 2025-03-21T20:18:06.8192783Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:06.8196455Z ##[endgroup] 2025-03-21T20:18:06.8279647Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-03-21T20:18:06.8280192Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-03-21T20:18:06.8280646Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-03-21T20:18:06.8281055Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-03-21T20:18:06.8281568Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-03-21T20:18:06.8282057Z  2025-03-21T20:18:06.8282407Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-03-21T20:18:06.8282886Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-03-21T20:18:06.8283332Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-03-21T20:18:06.8283885Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-03-21T20:18:06.8284563Z  2025-03-21T20:18:06.8284858Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-03-21T20:18:06.8285247Z sudo rm -rf "${RUNNER_DOCS_DIR}" 2025-03-21T20:18:06.8285627Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-03-21T20:18:06.8286090Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-03-21T20:18:06.8291921Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:06.8292360Z env: 2025-03-21T20:18:06.8292660Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:06.8293058Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:06.8293388Z PR_NUMBER: 2025-03-21T20:18:06.8296803Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:18:06.8300467Z ##[endgroup] 2025-03-21T20:18:07.3576532Z ##[group]Run needs=0 2025-03-21T20:18:07.3576863Z needs=0 2025-03-21T20:18:07.3577279Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then 2025-03-21T20:18:07.3577786Z  needs=1 2025-03-21T20:18:07.3578088Z fi 2025-03-21T20:18:07.3578387Z echo "does=${needs}" >> $GITHUB_OUTPUT 2025-03-21T20:18:07.3584482Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:07.3584912Z env: 2025-03-21T20:18:07.3585213Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:07.3585628Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:07.3585958Z PR_NUMBER: 2025-03-21T20:18:07.3589383Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:07.3593141Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:07.3593808Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:07.3594432Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:07.3594878Z ##[endgroup] 2025-03-21T20:18:07.3873628Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-03-21T20:18:07.3874401Z # ignore expansion of "docker ps -q" since it could be empty 2025-03-21T20:18:07.3875005Z # shellcheck disable=SC2046 2025-03-21T20:18:07.3887661Z docker stop $(docker ps -q) || true 2025-03-21T20:18:07.3888113Z # Prune all of the docker images 2025-03-21T20:18:07.3888503Z docker system prune -af 2025-03-21T20:18:07.3895537Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:07.3895969Z env: 2025-03-21T20:18:07.3896492Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:07.3896911Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:07.3897237Z PR_NUMBER: 2025-03-21T20:18:07.3900669Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:07.3904416Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:07.3905083Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:07.3905711Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:07.3906146Z ##[endgroup] 2025-03-21T20:18:07.4134475Z "docker stop" requires at least 1 argument. 2025-03-21T20:18:07.4135087Z See 'docker stop --help'. 2025-03-21T20:18:07.4135415Z 2025-03-21T20:18:07.4135705Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-03-21T20:18:07.4136233Z 2025-03-21T20:18:07.4136460Z Stop one or more running containers 2025-03-21T20:18:07.4283432Z Total reclaimed space: 0B 2025-03-21T20:18:07.4361918Z ##[group]Run ./test-infra/.github/actions/setup-ssh 2025-03-21T20:18:07.4362364Z with: 2025-03-21T20:18:07.4362873Z github-secret: *** 2025-03-21T20:18:07.4363643Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-03-21T20:18:07.4364488Z activate-with-label: false 2025-03-21T20:18:07.4364808Z label: with-ssh 2025-03-21T20:18:07.4365099Z remove-existing-keys: true 2025-03-21T20:18:07.4365424Z fail-silently: true 2025-03-21T20:18:07.4365705Z env: 2025-03-21T20:18:07.4365983Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:07.4366390Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:07.4367572Z PR_NUMBER: 2025-03-21T20:18:07.4371139Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:07.4374794Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:07.4375462Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:07.4376082Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:07.4376511Z ##[endgroup] 2025-03-21T20:18:07.5477022Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-03-21T20:18:07.5478549Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-03-21T20:18:07.5599441Z ##[group]Run actions/checkout@v4 2025-03-21T20:18:07.5599800Z with: 2025-03-21T20:18:07.5600066Z repository: pytorch/executorch 2025-03-21T20:18:07.5600444Z ref: be92d7d85cb7081ac0a544036da4096a4efa33a8 2025-03-21T20:18:07.5600835Z path: pytorch/executorch 2025-03-21T20:18:07.5601148Z fetch-depth: 1 2025-03-21T20:18:07.5601423Z submodules: true 2025-03-21T20:18:07.5601822Z token: *** 2025-03-21T20:18:07.5602086Z ssh-strict: true 2025-03-21T20:18:07.5602362Z ssh-user: git 2025-03-21T20:18:07.5602648Z persist-credentials: true 2025-03-21T20:18:07.5602970Z clean: true 2025-03-21T20:18:07.5603243Z sparse-checkout-cone-mode: true 2025-03-21T20:18:07.5603584Z fetch-tags: false 2025-03-21T20:18:07.5603863Z show-progress: true 2025-03-21T20:18:07.5604142Z lfs: false 2025-03-21T20:18:07.5604410Z set-safe-directory: true 2025-03-21T20:18:07.5604697Z env: 2025-03-21T20:18:07.5605164Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:07.5605623Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:07.5605955Z PR_NUMBER: 2025-03-21T20:18:07.5609373Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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}" 2025-03-21T20:18:07.5613014Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:07.5613681Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:07.5614304Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:07.5614734Z ##[endgroup] 2025-03-21T20:18:07.6593746Z Syncing repository: pytorch/executorch 2025-03-21T20:18:07.6602367Z ##[group]Getting Git version info 2025-03-21T20:18:07.6603337Z Working directory is '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch' 2025-03-21T20:18:07.6629197Z [command]/usr/bin/git version 2025-03-21T20:18:07.6664719Z git version 2.47.1 2025-03-21T20:18:07.6689690Z ##[endgroup] 2025-03-21T20:18:07.6697730Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/26ad50fb-e01e-4172-a7e0-2b0547a51131/.gitconfig' 2025-03-21T20:18:07.6706455Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/26ad50fb-e01e-4172-a7e0-2b0547a51131' before making global git config changes 2025-03-21T20:18:07.6707558Z Adding repository directory to the temporary git global config as a safe directory 2025-03-21T20:18:07.6719557Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch 2025-03-21T20:18:07.6750867Z ##[group]Initializing the repository 2025-03-21T20:18:07.6754889Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch 2025-03-21T20:18:07.6783970Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-03-21T20:18:07.6784653Z hint: is subject to change. To configure the initial branch name to use in all 2025-03-21T20:18:07.6785303Z hint: of your new repositories, which will suppress this warning, call: 2025-03-21T20:18:07.6785951Z hint: 2025-03-21T20:18:07.6786285Z hint: git config --global init.defaultBranch 2025-03-21T20:18:07.6786711Z hint: 2025-03-21T20:18:07.6787078Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-03-21T20:18:07.6787951Z hint: 'development'. The just-created branch can be renamed via this command: 2025-03-21T20:18:07.6788454Z hint: 2025-03-21T20:18:07.6788712Z hint: git branch -m 2025-03-21T20:18:07.6789410Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/ 2025-03-21T20:18:07.6795528Z [command]/usr/bin/git remote add origin https://github.com/pytorch/executorch 2025-03-21T20:18:07.6820801Z ##[endgroup] 2025-03-21T20:18:07.6821292Z ##[group]Disabling automatic garbage collection 2025-03-21T20:18:07.6824951Z [command]/usr/bin/git config --local gc.auto 0 2025-03-21T20:18:07.6850918Z ##[endgroup] 2025-03-21T20:18:07.6851380Z ##[group]Setting up auth 2025-03-21T20:18:07.6856794Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-03-21T20:18:07.6883462Z [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' || :" 2025-03-21T20:18:07.7152144Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-03-21T20:18:07.7177462Z [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' || :" 2025-03-21T20:18:07.7443241Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-03-21T20:18:07.7486092Z ##[endgroup] 2025-03-21T20:18:07.7486571Z ##[group]Fetching the repository 2025-03-21T20:18:07.7493568Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin be92d7d85cb7081ac0a544036da4096a4efa33a8 2025-03-21T20:18:09.2338854Z From https://github.com/pytorch/executorch 2025-03-21T20:18:09.2339622Z * branch be92d7d85cb7081ac0a544036da4096a4efa33a8 -> FETCH_HEAD 2025-03-21T20:18:09.2360528Z ##[endgroup] 2025-03-21T20:18:09.2361138Z ##[group]Determining the checkout info 2025-03-21T20:18:09.2362279Z ##[endgroup] 2025-03-21T20:18:09.2367500Z [command]/usr/bin/git sparse-checkout disable 2025-03-21T20:18:09.2399009Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-03-21T20:18:09.2423819Z ##[group]Checking out the ref 2025-03-21T20:18:09.2427544Z [command]/usr/bin/git checkout --progress --force be92d7d85cb7081ac0a544036da4096a4efa33a8 2025-03-21T20:18:09.7303761Z Note: switching to 'be92d7d85cb7081ac0a544036da4096a4efa33a8'. 2025-03-21T20:18:09.7304140Z 2025-03-21T20:18:09.7304390Z You are in 'detached HEAD' state. You can look around, make experimental 2025-03-21T20:18:09.7305015Z changes and commit them, and you can discard any commits you make in this 2025-03-21T20:18:09.7305637Z state without impacting any branches by switching back to a branch. 2025-03-21T20:18:09.7306044Z 2025-03-21T20:18:09.7306295Z If you want to create a new branch to retain commits you create, you may 2025-03-21T20:18:09.7306869Z do so (now or later) by using -c with the switch command. Example: 2025-03-21T20:18:09.7307191Z 2025-03-21T20:18:09.7307338Z git switch -c 2025-03-21T20:18:09.7307560Z 2025-03-21T20:18:09.7307714Z Or undo this operation with: 2025-03-21T20:18:09.7307918Z 2025-03-21T20:18:09.7308024Z git switch - 2025-03-21T20:18:09.7308188Z 2025-03-21T20:18:09.7308453Z Turn off this advice by setting config variable advice.detachedHead to false 2025-03-21T20:18:09.7308851Z 2025-03-21T20:18:09.7309034Z HEAD is now at be92d7d [Android] Use new Llm package API 2025-03-21T20:18:09.7351577Z ##[endgroup] 2025-03-21T20:18:09.7352061Z ##[group]Setting up auth for fetching submodules 2025-03-21T20:18:09.7357961Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-03-21T20:18:09.7398376Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-03-21T20:18:09.7423750Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-03-21T20:18:09.7449606Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-03-21T20:18:09.7473720Z ##[endgroup] 2025-03-21T20:18:09.7474249Z ##[group]Fetching submodules 2025-03-21T20:18:09.7477308Z [command]/usr/bin/git submodule sync 2025-03-21T20:18:09.7754595Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 2025-03-21T20:18:09.8022154Z 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' 2025-03-21T20:18:09.8023960Z 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' 2025-03-21T20:18:09.8025961Z Submodule 'backends/cadence/utils/FACTO' (https://github.com/pytorch-labs/FACTO.git) registered for path 'backends/cadence/utils/FACTO' 2025-03-21T20:18:09.8028701Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers' 2025-03-21T20:18:09.8031530Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-03-21T20:18:09.8034097Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk' 2025-03-21T20:18:09.8037047Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16' 2025-03-21T20:18:09.8039919Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv' 2025-03-21T20:18:09.8043030Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK' 2025-03-21T20:18:09.8046045Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo' 2025-03-21T20:18:09.8049352Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool' 2025-03-21T20:18:09.8052502Z Submodule 'extension/llm/tokenizers' (https://github.com/pytorch-labs/tokenizers.git) registered for path 'extension/llm/tokenizers' 2025-03-21T20:18:09.8055982Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen' 2025-03-21T20:18:09.8059305Z Submodule 'shim' (https://github.com/facebook/buck2-shims-meta) registered for path 'shim' 2025-03-21T20:18:09.8062909Z Submodule 'third-party/ao' (https://github.com/pytorch/ao.git) registered for path 'third-party/ao' 2025-03-21T20:18:09.8068642Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers' 2025-03-21T20:18:09.8073397Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc' 2025-03-21T20:18:09.8077425Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags' 2025-03-21T20:18:09.8081364Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest' 2025-03-21T20:18:09.8085604Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake' 2025-03-21T20:18:09.8089764Z Submodule 'third-party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third-party/pocketfft' 2025-03-21T20:18:09.8094471Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude' 2025-03-21T20:18:09.8098644Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11' 2025-03-21T20:18:09.8128231Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/ethos-u-core-driver'... 2025-03-21T20:18:10.0662076Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FXdiv'... 2025-03-21T20:18:10.0664539Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/FP16'... 2025-03-21T20:18:10.0668486Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/volk'... 2025-03-21T20:18:10.0671114Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/cadence/utils/FACTO'... 2025-03-21T20:18:10.0685390Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/arm/third-party/serialization_lib'... 2025-03-21T20:18:10.0690680Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/extension/llm/tokenizers'... 2025-03-21T20:18:10.3315708Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'... 2025-03-21T20:18:10.3318467Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/pthreadpool'... 2025-03-21T20:18:10.3321049Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/vulkan/third-party/Vulkan-Headers'... 2025-03-21T20:18:10.3323220Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/shim'... 2025-03-21T20:18:10.3341591Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatcc'... 2025-03-21T20:18:10.5581788Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/cpuinfo'... 2025-03-21T20:18:10.5584045Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ao'... 2025-03-21T20:18:10.5586065Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/gflags'... 2025-03-21T20:18:10.5617610Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pocketfft'... 2025-03-21T20:18:10.6520799Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/ios-cmake'... 2025-03-21T20:18:10.6521973Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/flatbuffers'... 2025-03-21T20:18:10.6523195Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/googletest'... 2025-03-21T20:18:10.7520004Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/backends/xnnpack/third-party/XNNPACK'... 2025-03-21T20:18:10.8398064Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/kernels/optimized/third-party/eigen'... 2025-03-21T20:18:10.8936685Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/prelude'... 2025-03-21T20:18:11.2019018Z Cloning into '/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/third-party/pybind11'... 2025-03-21T20:18:11.8131541Z From https://github.com/pytorch-labs/ethos-u-core-driver-mirror 2025-03-21T20:18:11.8132410Z * branch 78df0006c5fa667150d3ee35db7bde1d3f6f58c7 -> FETCH_HEAD 2025-03-21T20:18:11.8250565Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '78df0006c5fa667150d3ee35db7bde1d3f6f58c7' 2025-03-21T20:18:12.3113401Z From https://github.com/pytorch-labs/tosa_serialization_lib-mirror 2025-03-21T20:18:12.3114075Z * branch 187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2 -> FETCH_HEAD 2025-03-21T20:18:12.3226622Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2' 2025-03-21T20:18:12.3323736Z Submodule path 'backends/cadence/utils/FACTO': checked out '1db37fc79d0d59638cbb794fa49d878aafc24461' 2025-03-21T20:18:13.0846317Z From https://github.com/KhronosGroup/Vulkan-Headers 2025-03-21T20:18:13.0846918Z * branch 0c5928795a66e93f65e5e68a36d8daa79a209dc2 -> FETCH_HEAD 2025-03-21T20:18:13.1385416Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2' 2025-03-21T20:18:13.7366175Z From https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator 2025-03-21T20:18:13.7367518Z * branch a6bfc237255a6bac1513f7c1ebde6d8aed6b5191 -> FETCH_HEAD 2025-03-21T20:18:13.7698533Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191' 2025-03-21T20:18:14.1902770Z From https://github.com/zeux/volk 2025-03-21T20:18:14.1903328Z * branch b3bc21e584f97400b6884cb2a541a56c6a5ddba3 -> FETCH_HEAD 2025-03-21T20:18:14.1978445Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3' 2025-03-21T20:18:14.5908030Z From https://github.com/Maratyszcza/FP16 2025-03-21T20:18:14.5908612Z * branch 4dfe081cf6bcd15db339cf2680b9281b8451eeb3 -> FETCH_HEAD 2025-03-21T20:18:14.5999290Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-03-21T20:18:15.0036589Z From https://github.com/Maratyszcza/FXdiv 2025-03-21T20:18:15.0037178Z * branch b408327ac2a15ec3e43352421954f5b1967701d1 -> FETCH_HEAD 2025-03-21T20:18:15.0096650Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-03-21T20:18:16.5175811Z From https://github.com/google/XNNPACK 2025-03-21T20:18:16.5176384Z * branch 4ea82e595b36106653175dcb04b2aa532660d0d8 -> FETCH_HEAD 2025-03-21T20:18:17.1409332Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '4ea82e595b36106653175dcb04b2aa532660d0d8' 2025-03-21T20:18:17.6072832Z From https://github.com/pytorch/cpuinfo 2025-03-21T20:18:17.6073598Z * branch 1e83a2fdd3102f65c6f1fb602c1b320486218a99 -> FETCH_HEAD 2025-03-21T20:18:17.6962197Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out '1e83a2fdd3102f65c6f1fb602c1b320486218a99' 2025-03-21T20:18:18.1159271Z From https://github.com/Maratyszcza/pthreadpool 2025-03-21T20:18:18.1159881Z * branch 4fe0e1e183925bf8cfa6aae24237e724a96479b8 -> FETCH_HEAD 2025-03-21T20:18:18.1247815Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8' 2025-03-21T20:18:18.5788554Z From https://github.com/pytorch-labs/tokenizers 2025-03-21T20:18:18.5789501Z * branch d70f5a760552d8d3bb288cdd93eebde477bb6eb0 -> FETCH_HEAD 2025-03-21T20:18:18.6041262Z Submodule path 'extension/llm/tokenizers': checked out 'd70f5a760552d8d3bb288cdd93eebde477bb6eb0' 2025-03-21T20:18:20.1339865Z From https://gitlab.com/libeigen/eigen 2025-03-21T20:18:20.1340504Z * branch a39ade4ccf99df845ec85c580fbbb324f71952fa -> FETCH_HEAD 2025-03-21T20:18:20.2648098Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa' 2025-03-21T20:18:20.2828868Z Submodule path 'shim': checked out 'cf6a954aae4bee7b4515e13475878460115027d1' 2025-03-21T20:18:20.9279906Z From https://github.com/pytorch/ao 2025-03-21T20:18:20.9280473Z * branch 64bcf4c25755a783685ba7383000b3bf722523c1 -> FETCH_HEAD 2025-03-21T20:18:20.9984157Z Submodule path 'third-party/ao': checked out '64bcf4c25755a783685ba7383000b3bf722523c1' 2025-03-21T20:18:21.5904435Z From https://github.com/google/flatbuffers 2025-03-21T20:18:21.5905035Z * branch 595bf0007ab1929570c7671f091313c8fc20644e -> FETCH_HEAD 2025-03-21T20:18:21.6981413Z Submodule path 'third-party/flatbuffers': checked out '595bf0007ab1929570c7671f091313c8fc20644e' 2025-03-21T20:18:22.1723162Z From https://github.com/dvidelabs/flatcc 2025-03-21T20:18:22.1723735Z * branch 896db54787e8b730a6be482c69324751f3f5f117 -> FETCH_HEAD 2025-03-21T20:18:22.1981955Z Submodule path 'third-party/flatcc': checked out '896db54787e8b730a6be482c69324751f3f5f117' 2025-03-21T20:18:22.6592872Z From https://github.com/gflags/gflags 2025-03-21T20:18:22.6593441Z * branch a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd -> FETCH_HEAD 2025-03-21T20:18:22.6685717Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd' 2025-03-21T20:18:24.1729223Z From https://github.com/google/googletest 2025-03-21T20:18:24.1729833Z * branch e2239ee6043f73722e7aa812a459f54a28552929 -> FETCH_HEAD 2025-03-21T20:18:24.2094242Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-03-21T20:18:24.6171138Z From https://github.com/leetal/ios-cmake 2025-03-21T20:18:24.6171824Z * branch 06465b27698424cf4a04a5ca4904d50a3c966c45 -> FETCH_HEAD 2025-03-21T20:18:24.6248355Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45' 2025-03-21T20:18:24.6321144Z Submodule path 'third-party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa' 2025-03-21T20:18:25.3763190Z From https://github.com/facebook/buck2-prelude 2025-03-21T20:18:25.3763781Z * branch 851d3f09c452937fc5adef27e2c50f7f304f1646 -> FETCH_HEAD 2025-03-21T20:18:25.4553055Z Submodule path 'third-party/prelude': checked out '851d3f09c452937fc5adef27e2c50f7f304f1646' 2025-03-21T20:18:26.0791646Z From https://github.com/pybind/pybind11 2025-03-21T20:18:26.0792258Z * branch a2e59f0e7065404b44dfe92a28aca47ba1378dc4 -> FETCH_HEAD 2025-03-21T20:18:26.1075420Z Submodule path 'third-party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-03-21T20:18:26.1091252Z [command]/usr/bin/git submodule foreach git config --local gc.auto 0 2025-03-21T20:18:26.1363521Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-03-21T20:18:26.1390146Z Entering 'backends/arm/third-party/serialization_lib' 2025-03-21T20:18:26.1416880Z Entering 'backends/cadence/utils/FACTO' 2025-03-21T20:18:26.1444872Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-03-21T20:18:26.1472033Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-03-21T20:18:26.1498083Z Entering 'backends/vulkan/third-party/volk' 2025-03-21T20:18:26.1525031Z Entering 'backends/xnnpack/third-party/FP16' 2025-03-21T20:18:26.1551227Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-03-21T20:18:26.1578172Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-03-21T20:18:26.1604437Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-03-21T20:18:26.1630785Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-03-21T20:18:26.1656972Z Entering 'extension/llm/tokenizers' 2025-03-21T20:18:26.1684223Z Entering 'kernels/optimized/third-party/eigen' 2025-03-21T20:18:26.1710272Z Entering 'shim' 2025-03-21T20:18:26.1736782Z Entering 'third-party/ao' 2025-03-21T20:18:26.1762868Z Entering 'third-party/flatbuffers' 2025-03-21T20:18:26.1789259Z Entering 'third-party/flatcc' 2025-03-21T20:18:26.1814747Z Entering 'third-party/gflags' 2025-03-21T20:18:26.1841125Z Entering 'third-party/googletest' 2025-03-21T20:18:26.1867041Z Entering 'third-party/ios-cmake' 2025-03-21T20:18:26.1892588Z Entering 'third-party/pocketfft' 2025-03-21T20:18:26.1918862Z Entering 'third-party/prelude' 2025-03-21T20:18:26.1944578Z Entering 'third-party/pybind11' 2025-03-21T20:18:26.1979554Z ##[endgroup] 2025-03-21T20:18:26.1980083Z ##[group]Persisting credentials for submodules 2025-03-21T20:18:26.1986984Z [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' || :" 2025-03-21T20:18:26.2252045Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-03-21T20:18:26.2306066Z Entering 'backends/arm/third-party/serialization_lib' 2025-03-21T20:18:26.2359807Z Entering 'backends/cadence/utils/FACTO' 2025-03-21T20:18:26.2413663Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-03-21T20:18:26.2466438Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-03-21T20:18:26.2519894Z Entering 'backends/vulkan/third-party/volk' 2025-03-21T20:18:26.2574766Z Entering 'backends/xnnpack/third-party/FP16' 2025-03-21T20:18:26.2627616Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-03-21T20:18:26.2681308Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-03-21T20:18:26.2751165Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-03-21T20:18:26.2806061Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-03-21T20:18:26.2858518Z Entering 'extension/llm/tokenizers' 2025-03-21T20:18:26.2911837Z Entering 'kernels/optimized/third-party/eigen' 2025-03-21T20:18:26.2966468Z Entering 'shim' 2025-03-21T20:18:26.3019588Z Entering 'third-party/ao' 2025-03-21T20:18:26.3074024Z Entering 'third-party/flatbuffers' 2025-03-21T20:18:26.3128573Z Entering 'third-party/flatcc' 2025-03-21T20:18:26.3181550Z Entering 'third-party/gflags' 2025-03-21T20:18:26.3234001Z Entering 'third-party/googletest' 2025-03-21T20:18:26.3286626Z Entering 'third-party/ios-cmake' 2025-03-21T20:18:26.3338647Z Entering 'third-party/pocketfft' 2025-03-21T20:18:26.3390887Z Entering 'third-party/prelude' 2025-03-21T20:18:26.3444126Z Entering 'third-party/pybind11' 2025-03-21T20:18:26.3509397Z [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" 2025-03-21T20:18:26.3778260Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-03-21T20:18:26.3829407Z 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 2025-03-21T20:18:26.3831244Z Entering 'backends/arm/third-party/serialization_lib' 2025-03-21T20:18:26.3884050Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/arm/third-party/serialization_lib/config remote.origin.url 2025-03-21T20:18:26.3885774Z Entering 'backends/cadence/utils/FACTO' 2025-03-21T20:18:26.3937999Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/cadence/utils/FACTO/config remote.origin.url 2025-03-21T20:18:26.3939796Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-03-21T20:18:26.3990992Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/Vulkan-Headers/config remote.origin.url 2025-03-21T20:18:26.3992952Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-03-21T20:18:26.4043570Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/VulkanMemoryAllocator/config remote.origin.url 2025-03-21T20:18:26.4045387Z Entering 'backends/vulkan/third-party/volk' 2025-03-21T20:18:26.4098885Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/vulkan/third-party/volk/config remote.origin.url 2025-03-21T20:18:26.4100635Z Entering 'backends/xnnpack/third-party/FP16' 2025-03-21T20:18:26.4151861Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FP16/config remote.origin.url 2025-03-21T20:18:26.4153691Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-03-21T20:18:26.4204362Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/FXdiv/config remote.origin.url 2025-03-21T20:18:26.4206120Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-03-21T20:18:26.4256992Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/XNNPACK/config remote.origin.url 2025-03-21T20:18:26.4258831Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-03-21T20:18:26.4309353Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/cpuinfo/config remote.origin.url 2025-03-21T20:18:26.4311163Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-03-21T20:18:26.4363356Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/backends/xnnpack/third-party/pthreadpool/config remote.origin.url 2025-03-21T20:18:26.4364592Z Entering 'extension/llm/tokenizers' 2025-03-21T20:18:26.4415147Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/extension/llm/tokenizers/config remote.origin.url 2025-03-21T20:18:26.4416451Z Entering 'kernels/optimized/third-party/eigen' 2025-03-21T20:18:26.4468481Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/kernels/optimized/third-party/eigen/config remote.origin.url 2025-03-21T20:18:26.4469483Z Entering 'shim' 2025-03-21T20:18:26.4517942Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/shim/config remote.origin.url 2025-03-21T20:18:26.4519195Z Entering 'third-party/ao' 2025-03-21T20:18:26.4569683Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ao/config remote.origin.url 2025-03-21T20:18:26.4570878Z Entering 'third-party/flatbuffers' 2025-03-21T20:18:26.4620178Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatbuffers/config remote.origin.url 2025-03-21T20:18:26.4621295Z Entering 'third-party/flatcc' 2025-03-21T20:18:26.4671532Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/flatcc/config remote.origin.url 2025-03-21T20:18:26.4673151Z Entering 'third-party/gflags' 2025-03-21T20:18:26.4722395Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/gflags/config remote.origin.url 2025-03-21T20:18:26.4723897Z Entering 'third-party/googletest' 2025-03-21T20:18:26.4776395Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/googletest/config remote.origin.url 2025-03-21T20:18:26.4777964Z Entering 'third-party/ios-cmake' 2025-03-21T20:18:26.4827146Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/ios-cmake/config remote.origin.url 2025-03-21T20:18:26.4828723Z Entering 'third-party/pocketfft' 2025-03-21T20:18:26.4879660Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pocketfft/config remote.origin.url 2025-03-21T20:18:26.4881229Z Entering 'third-party/prelude' 2025-03-21T20:18:26.4930727Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/prelude/config remote.origin.url 2025-03-21T20:18:26.4932263Z Entering 'third-party/pybind11' 2025-03-21T20:18:26.4982995Z file:/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch/.git/modules/third-party/pybind11/config remote.origin.url 2025-03-21T20:18:26.5285841Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-03-21T20:18:26.5556313Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-03-21T20:18:26.5583027Z Entering 'backends/arm/third-party/serialization_lib' 2025-03-21T20:18:26.5610394Z Entering 'backends/cadence/utils/FACTO' 2025-03-21T20:18:26.5636821Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-03-21T20:18:26.5662355Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-03-21T20:18:26.5688362Z Entering 'backends/vulkan/third-party/volk' 2025-03-21T20:18:26.5714166Z Entering 'backends/xnnpack/third-party/FP16' 2025-03-21T20:18:26.5739800Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-03-21T20:18:26.5765651Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-03-21T20:18:26.5791652Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-03-21T20:18:26.5817353Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-03-21T20:18:26.5843081Z Entering 'extension/llm/tokenizers' 2025-03-21T20:18:26.5868869Z Entering 'kernels/optimized/third-party/eigen' 2025-03-21T20:18:26.5894337Z Entering 'shim' 2025-03-21T20:18:26.5920230Z Entering 'third-party/ao' 2025-03-21T20:18:26.5945809Z Entering 'third-party/flatbuffers' 2025-03-21T20:18:26.5971751Z Entering 'third-party/flatcc' 2025-03-21T20:18:26.5997034Z Entering 'third-party/gflags' 2025-03-21T20:18:26.6022801Z Entering 'third-party/googletest' 2025-03-21T20:18:26.6049057Z Entering 'third-party/ios-cmake' 2025-03-21T20:18:26.6074816Z Entering 'third-party/pocketfft' 2025-03-21T20:18:26.6100281Z Entering 'third-party/prelude' 2025-03-21T20:18:26.6125678Z Entering 'third-party/pybind11' 2025-03-21T20:18:26.6163413Z [command]/usr/bin/git submodule foreach git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-03-21T20:18:26.6433252Z Entering 'backends/arm/third-party/ethos-u-core-driver' 2025-03-21T20:18:26.6458866Z Entering 'backends/arm/third-party/serialization_lib' 2025-03-21T20:18:26.6485582Z Entering 'backends/cadence/utils/FACTO' 2025-03-21T20:18:26.6511323Z Entering 'backends/vulkan/third-party/Vulkan-Headers' 2025-03-21T20:18:26.6536752Z Entering 'backends/vulkan/third-party/VulkanMemoryAllocator' 2025-03-21T20:18:26.6562184Z Entering 'backends/vulkan/third-party/volk' 2025-03-21T20:18:26.6587808Z Entering 'backends/xnnpack/third-party/FP16' 2025-03-21T20:18:26.6613360Z Entering 'backends/xnnpack/third-party/FXdiv' 2025-03-21T20:18:26.6638732Z Entering 'backends/xnnpack/third-party/XNNPACK' 2025-03-21T20:18:26.6663897Z Entering 'backends/xnnpack/third-party/cpuinfo' 2025-03-21T20:18:26.6689780Z Entering 'backends/xnnpack/third-party/pthreadpool' 2025-03-21T20:18:26.6715276Z Entering 'extension/llm/tokenizers' 2025-03-21T20:18:26.6740517Z Entering 'kernels/optimized/third-party/eigen' 2025-03-21T20:18:26.6765890Z Entering 'shim' 2025-03-21T20:18:26.6791604Z Entering 'third-party/ao' 2025-03-21T20:18:26.6816791Z Entering 'third-party/flatbuffers' 2025-03-21T20:18:26.6841963Z Entering 'third-party/flatcc' 2025-03-21T20:18:26.6868035Z Entering 'third-party/gflags' 2025-03-21T20:18:26.6894747Z Entering 'third-party/googletest' 2025-03-21T20:18:26.6920840Z Entering 'third-party/ios-cmake' 2025-03-21T20:18:26.6947908Z Entering 'third-party/pocketfft' 2025-03-21T20:18:26.6975601Z Entering 'third-party/prelude' 2025-03-21T20:18:26.7000750Z Entering 'third-party/pybind11' 2025-03-21T20:18:26.7035068Z ##[endgroup] 2025-03-21T20:18:26.7070914Z [command]/usr/bin/git log -1 --format=%H 2025-03-21T20:18:26.7090985Z be92d7d85cb7081ac0a544036da4096a4efa33a8 2025-03-21T20:18:26.7294833Z Prepare all required actions 2025-03-21T20:18:26.7295378Z Getting action download info 2025-03-21T20:18:26.8376394Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-03-21T20:18:27.0087713Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image 2025-03-21T20:18:27.0088179Z with: 2025-03-21T20:18:27.0088507Z docker-image-name: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:27.0088943Z docker-build-dir: .ci/docker 2025-03-21T20:18:27.0089286Z working-directory: pytorch/executorch 2025-03-21T20:18:27.0089758Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:27.0090223Z force-push: false 2025-03-21T20:18:27.0090495Z env: 2025-03-21T20:18:27.0090808Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:27.0091204Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:27.0091533Z PR_NUMBER: 2025-03-21T20:18:27.0095031Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:27.0098791Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:27.0099462Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:27.0100094Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:27.0100528Z ##[endgroup] 2025-03-21T20:18:27.0131567Z ##[group]Run set -ex 2025-03-21T20:18:27.0131921Z set -ex 2025-03-21T20:18:27.0132189Z  2025-03-21T20:18:27.0132643Z # If the docker build directory or the build script doesn't exist, the action will 2025-03-21T20:18:27.0133396Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-03-21T20:18:27.0134038Z # job could then download the pre-built image as usual 2025-03-21T20:18:27.0134613Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then 2025-03-21T20:18:27.0135130Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0135653Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0136112Z  2025-03-21T20:18:27.0136523Z  echo "There is no Docker build script in ${REPO_NAME} repo, skipping..." 2025-03-21T20:18:27.0137020Z  exit 0 2025-03-21T20:18:27.0137267Z else 2025-03-21T20:18:27.0137572Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0137943Z fi 2025-03-21T20:18:27.0138188Z  2025-03-21T20:18:27.0138570Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-03-21T20:18:27.0139246Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-03-21T20:18:27.0139830Z  # use it as it is, but first let's extract the tag 2025-03-21T20:18:27.0140375Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-03-21T20:18:27.0140971Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0141513Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0141984Z else 2025-03-21T20:18:27.0142517Z  DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-03-21T20:18:27.0143048Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0143771Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0144409Z fi 2025-03-21T20:18:27.0150369Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:27.0150803Z env: 2025-03-21T20:18:27.0151104Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:27.0151532Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:27.0151864Z PR_NUMBER: 2025-03-21T20:18:27.0155407Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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}" 2025-03-21T20:18:27.0159063Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:27.0159732Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:27.0160358Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:27.0160898Z REPO_NAME: executorch 2025-03-21T20:18:27.0161242Z DOCKER_IMAGE_NAME: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:27.0161660Z DOCKER_BUILD_DIR: .ci/docker 2025-03-21T20:18:27.0162091Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:27.0162539Z ##[endgroup] 2025-03-21T20:18:27.0205438Z + [[ ! -d .ci/docker ]] 2025-03-21T20:18:27.0205755Z + [[ ! -f .ci/docker/build.sh ]] 2025-03-21T20:18:27.0206079Z + echo skip=false 2025-03-21T20:18:27.0207019Z + [[ 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* ]] 2025-03-21T20:18:27.0213160Z ++ git rev-parse HEAD:.ci/docker 2025-03-21T20:18:27.0228552Z + DOCKER_TAG=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:27.0229431Z + echo docker-tag=2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:27.0230970Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:27.0270268Z ##[group]Run set +e 2025-03-21T20:18:27.0270651Z set +e 2025-03-21T20:18:27.0270922Z set -x 2025-03-21T20:18:27.0271201Z  2025-03-21T20:18:27.0271439Z login() { 2025-03-21T20:18:27.0271980Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-03-21T20:18:27.0272573Z } 2025-03-21T20:18:27.0272939Z  2025-03-21T20:18:27.0273195Z retry () { 2025-03-21T20:18:27.0273510Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-03-21T20:18:27.0273860Z } 2025-03-21T20:18:27.0274105Z  2025-03-21T20:18:27.0274378Z retry login "${DOCKER_REGISTRY}" 2025-03-21T20:18:27.0274736Z  2025-03-21T20:18:27.0274993Z START_TIME=$(date +%s) 2025-03-21T20:18:27.0275317Z # Wait up to 120 minutes 2025-03-21T20:18:27.0275738Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-03-21T20:18:27.0276307Z  # Check if image already exists, if it does then skip building it 2025-03-21T20:18:27.0277011Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-03-21T20:18:27.0277437Z  exit 0 2025-03-21T20:18:27.0277698Z  fi 2025-03-21T20:18:27.0277951Z  2025-03-21T20:18:27.0278387Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-03-21T20:18:27.0279132Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-03-21T20:18:27.0279885Z  # latter, it will wait for the Docker images to become available before continuing 2025-03-21T20:18:27.0280468Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-03-21T20:18:27.0280908Z  # It's a Docker build job, let's build the image 2025-03-21T20:18:27.0281306Z  break 2025-03-21T20:18:27.0281587Z  else 2025-03-21T20:18:27.0281980Z  # It's a regular build job, wait for the image to become available 2025-03-21T20:18:27.0282456Z  sleep 300 2025-03-21T20:18:27.0282729Z  fi 2025-03-21T20:18:27.0282985Z done 2025-03-21T20:18:27.0283237Z  2025-03-21T20:18:27.0283638Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-03-21T20:18:27.0284284Z # be empty. The default action would be to continue rebuild the image 2025-03-21T20:18:27.0284864Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-03-21T20:18:27.0285364Z  # if we're on the base branch then use the parent commit 2025-03-21T20:18:27.0285821Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-03-21T20:18:27.0286187Z else 2025-03-21T20:18:27.0286560Z  # otherwise we're on a PR, so use the most recent base commit 2025-03-21T20:18:27.0287096Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-03-21T20:18:27.0287618Z fi 2025-03-21T20:18:27.0287855Z  2025-03-21T20:18:27.0288130Z if [[ -z "${MERGE_BASE}" ]]; then 2025-03-21T20:18:27.0288547Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0288932Z  2025-03-21T20:18:27.0289464Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-03-21T20:18:27.0290071Z  exit 0 2025-03-21T20:18:27.0290337Z fi 2025-03-21T20:18:27.0290581Z  2025-03-21T20:18:27.0290935Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-03-21T20:18:27.0291702Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-03-21T20:18:27.0292365Z  exit 1 2025-03-21T20:18:27.0292614Z fi 2025-03-21T20:18:27.0292857Z  2025-03-21T20:18:27.0293272Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-03-21T20:18:27.0294003Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-03-21T20:18:27.0294665Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-03-21T20:18:27.0295411Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-03-21T20:18:27.0296271Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-03-21T20:18:27.0296785Z fi 2025-03-21T20:18:27.0297029Z  2025-03-21T20:18:27.0297329Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-03-21T20:18:27.0303091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:27.0303505Z env: 2025-03-21T20:18:27.0304239Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:27.0305096Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:27.0305426Z PR_NUMBER: 2025-03-21T20:18:27.0308925Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:27.0312582Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:27.0313364Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:27.0313997Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:27.0314457Z DOCKER_BUILD_DIR: .ci/docker 2025-03-21T20:18:27.0314850Z BASE_REVISION: be92d7d85cb7081ac0a544036da4096a4efa33a8 2025-03-21T20:18:27.0315324Z DOCKER_TAG: 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:27.0315818Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:27.0316264Z DOCKER_PUSH: 2025-03-21T20:18:27.0316530Z ##[endgroup] 2025-03-21T20:18:27.0340030Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:27.0340520Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:27.0343340Z + aws ecr get-login-password --region us-east-1 2025-03-21T20:18:27.0344461Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:27.6465159Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-03-21T20:18:27.6465882Z Configure a credential helper to remove this warning. See 2025-03-21T20:18:27.6466906Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-03-21T20:18:27.6467349Z 2025-03-21T20:18:27.6467475Z Login Succeeded 2025-03-21T20:18:27.6480190Z ++ date +%s 2025-03-21T20:18:27.6489394Z + START_TIME=1742588307 2025-03-21T20:18:27.6492999Z ++ date +%s 2025-03-21T20:18:27.6501927Z + [[ 1742581107 -lt 1742588307 ]] 2025-03-21T20:18:27.6502863Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:27.8626676Z { 2025-03-21T20:18:27.8627158Z "schemaVersion": 2, 2025-03-21T20:18:27.8627865Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-03-21T20:18:27.8628485Z "config": { 2025-03-21T20:18:27.8628892Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-03-21T20:18:27.8629343Z "size": 15116, 2025-03-21T20:18:27.8629809Z "digest": "sha256:a30343f4b72f0dce49d6d4823ed055cd99145a3bc06228740f811eb1decc1863" 2025-03-21T20:18:27.8630358Z }, 2025-03-21T20:18:27.8630591Z "layers": [ 2025-03-21T20:18:27.8630842Z { 2025-03-21T20:18:27.8631204Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8631682Z "size": 30440118, 2025-03-21T20:18:27.8632155Z "digest": "sha256:8f84a9f2102e97a4a6bf673b150fc9894df5acc9618ad3484c6c36f768c1caa0" 2025-03-21T20:18:27.8632687Z }, 2025-03-21T20:18:27.8633018Z { 2025-03-21T20:18:27.8633375Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8633849Z "size": 632, 2025-03-21T20:18:27.8634301Z "digest": "sha256:86e413e13063e43e9840dda1e93f5db4a40e184a756693799c0369fd9d008e6e" 2025-03-21T20:18:27.8634829Z }, 2025-03-21T20:18:27.8635058Z { 2025-03-21T20:18:27.8635426Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8635898Z "size": 157526659, 2025-03-21T20:18:27.8636367Z "digest": "sha256:56848936f031f07230bafdc656bc2496665574dc8b02b43ffee6c54b53cf514b" 2025-03-21T20:18:27.8637143Z }, 2025-03-21T20:18:27.8637383Z { 2025-03-21T20:18:27.8637745Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8638218Z "size": 623, 2025-03-21T20:18:27.8638673Z "digest": "sha256:261c0f487ad07815c767b360dc3f2b7876eec9795ea5a311db7499b7ca2f1e38" 2025-03-21T20:18:27.8639200Z }, 2025-03-21T20:18:27.8639431Z { 2025-03-21T20:18:27.8639789Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8640260Z "size": 19308800, 2025-03-21T20:18:27.8640729Z "digest": "sha256:a3f0567f83ae99b86c52170d45ec5d261f30cf897dba2100e348a19ba11e81b6" 2025-03-21T20:18:27.8641252Z }, 2025-03-21T20:18:27.8641475Z { 2025-03-21T20:18:27.8641828Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8642317Z "size": 737, 2025-03-21T20:18:27.8642996Z "digest": "sha256:a0c2fdb93deca15e6e50f0cc2f2b253f65c424a5ba7146fa214b3dabf949e47d" 2025-03-21T20:18:27.8643834Z }, 2025-03-21T20:18:27.8644185Z { 2025-03-21T20:18:27.8644729Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8645677Z "size": 131418191, 2025-03-21T20:18:27.8646225Z "digest": "sha256:4e0f8d4747dac663f43c5d2b26132555949337e7cd648644b12ff05b7fdbe750" 2025-03-21T20:18:27.8646817Z }, 2025-03-21T20:18:27.8647043Z { 2025-03-21T20:18:27.8647324Z + exit 0 2025-03-21T20:18:27.8647704Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8648176Z "size": 447, 2025-03-21T20:18:27.8648630Z "digest": "sha256:5a102502de33c5d0391cba90688a95c6d138caa80472d8586f51fe199d15e056" 2025-03-21T20:18:27.8649142Z }, 2025-03-21T20:18:27.8649369Z { 2025-03-21T20:18:27.8649740Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8650394Z "size": 104, 2025-03-21T20:18:27.8650849Z "digest": "sha256:5d24dc753f042bf098877a7e9c814f22d72e16bf8f4d731e11d707f626d3a716" 2025-03-21T20:18:27.8651362Z }, 2025-03-21T20:18:27.8651601Z { 2025-03-21T20:18:27.8651973Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8652441Z "size": 637, 2025-03-21T20:18:27.8652890Z "digest": "sha256:85f4a172d5b6549c71f192713230a09e559248bc692b3c7880a7aeb8cbc8063d" 2025-03-21T20:18:27.8653399Z }, 2025-03-21T20:18:27.8653630Z { 2025-03-21T20:18:27.8654000Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8654474Z "size": 33695150, 2025-03-21T20:18:27.8654952Z "digest": "sha256:bb9ad7d84f6e851744d415663cd550e7fffcad904d896f5e5f0c0700cbff5249" 2025-03-21T20:18:27.8655476Z }, 2025-03-21T20:18:27.8655705Z { 2025-03-21T20:18:27.8656071Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8656546Z "size": 319, 2025-03-21T20:18:27.8657003Z "digest": "sha256:5120711d46e36360293dc8943ca1ad1310579dc5a9970d1ec6f4f3b3a408ccac" 2025-03-21T20:18:27.8657510Z }, 2025-03-21T20:18:27.8657734Z { 2025-03-21T20:18:27.8658106Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8658577Z "size": 249990691, 2025-03-21T20:18:27.8659045Z "digest": "sha256:2d4cecada8b45d3248f175d740425816048bb20527e7369fdaa7250146b3b173" 2025-03-21T20:18:27.8659558Z }, 2025-03-21T20:18:27.8659779Z { 2025-03-21T20:18:27.8660144Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8660610Z "size": 475, 2025-03-21T20:18:27.8661073Z "digest": "sha256:e1fd02ccae095d8166d03a3f7af0d5ea3fcc2cb9514e293d10ac0025e3ef3211" 2025-03-21T20:18:27.8661598Z }, 2025-03-21T20:18:27.8661820Z { 2025-03-21T20:18:27.8662183Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8662651Z "size": 1043, 2025-03-21T20:18:27.8663114Z "digest": "sha256:508bc8ee650d1222c97006db6a268d90fb07ac31c4c3b84c99c7fc760b02b365" 2025-03-21T20:18:27.8663630Z }, 2025-03-21T20:18:27.8663857Z { 2025-03-21T20:18:27.8664354Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8664828Z "size": 613, 2025-03-21T20:18:27.8665295Z "digest": "sha256:6ff1ffcc6d8434dbeeeffcbf49238e47562a299ebd97987c8fb752e47aad7dc0" 2025-03-21T20:18:27.8665818Z }, 2025-03-21T20:18:27.8666046Z { 2025-03-21T20:18:27.8666415Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8667155Z "size": 77562541, 2025-03-21T20:18:27.8667629Z "digest": "sha256:6a063300ab4b844689b6c0ae46ce80e0423bae164b62e75ae970c77d4abf0d00" 2025-03-21T20:18:27.8668141Z }, 2025-03-21T20:18:27.8668367Z { 2025-03-21T20:18:27.8668735Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8669202Z "size": 562, 2025-03-21T20:18:27.8669670Z "digest": "sha256:fb7c06bc00e5da7a1402ca2017266d38dfbd2144ae151a8f2c9c205c543d5b0a" 2025-03-21T20:18:27.8670198Z }, 2025-03-21T20:18:27.8670428Z { 2025-03-21T20:18:27.8670800Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8671274Z "size": 208, 2025-03-21T20:18:27.8671725Z "digest": "sha256:eda4db11af8ffbdc56d01d522c9d47a2ae3730b850b74f7517e30049eb73637e" 2025-03-21T20:18:27.8672266Z }, 2025-03-21T20:18:27.8672488Z { 2025-03-21T20:18:27.8672959Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8673428Z "size": 1189, 2025-03-21T20:18:27.8673889Z "digest": "sha256:3cfbc5ff2ac06cf9bffc37a8a7a1578bd7264def9f15522294ac0f325930481b" 2025-03-21T20:18:27.8674435Z }, 2025-03-21T20:18:27.8674664Z { 2025-03-21T20:18:27.8675036Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8675514Z "size": 679, 2025-03-21T20:18:27.8675953Z "digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba" 2025-03-21T20:18:27.8676612Z }, 2025-03-21T20:18:27.8676843Z { 2025-03-21T20:18:27.8677216Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8677699Z "size": 6839266947, 2025-03-21T20:18:27.8678163Z "digest": "sha256:50754bc025fc1de200f32bd74019f345ec85c136d6a09b915c482c98fb5bd8af" 2025-03-21T20:18:27.8678692Z }, 2025-03-21T20:18:27.8678914Z { 2025-03-21T20:18:27.8679280Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8679747Z "size": 1383, 2025-03-21T20:18:27.8680195Z "digest": "sha256:db5c552aa08bc175670ba61c1394e4eb8f14e880b54bc9117e45d201a78983d1" 2025-03-21T20:18:27.8680720Z }, 2025-03-21T20:18:27.8680942Z { 2025-03-21T20:18:27.8681307Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8681772Z "size": 679, 2025-03-21T20:18:27.8682207Z "digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba" 2025-03-21T20:18:27.8682726Z }, 2025-03-21T20:18:27.8682948Z { 2025-03-21T20:18:27.8683317Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8683786Z "size": 230829648, 2025-03-21T20:18:27.8684247Z "digest": "sha256:706d7d7c1227085c0cac3515a61ff3c6b82a74c3731770098e9c7daf32e2184e" 2025-03-21T20:18:27.8684776Z }, 2025-03-21T20:18:27.8685026Z { 2025-03-21T20:18:27.8685400Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8685854Z "size": 828, 2025-03-21T20:18:27.8686324Z "digest": "sha256:32a4dbb2ef2f3551374be7a84cb414cd30b101c4d3cdfe7c4ddebfe78ea1d939" 2025-03-21T20:18:27.8686868Z }, 2025-03-21T20:18:27.8687097Z { 2025-03-21T20:18:27.8687470Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8687926Z "size": 679, 2025-03-21T20:18:27.8688379Z "digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba" 2025-03-21T20:18:27.8688911Z }, 2025-03-21T20:18:27.8689142Z { 2025-03-21T20:18:27.8689516Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8689976Z "size": 178598108, 2025-03-21T20:18:27.8690561Z "digest": "sha256:242848c50d1a4198b82dd1283e85e8cd8581d6fbccfe9015dc50de6e0340dec9" 2025-03-21T20:18:27.8691100Z }, 2025-03-21T20:18:27.8691332Z { 2025-03-21T20:18:27.8691702Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8692159Z "size": 530, 2025-03-21T20:18:27.8692618Z "digest": "sha256:77ba92adb1392840c455cc217ac4fee89f4452db783ce2b4948dc40025a0840a" 2025-03-21T20:18:27.8693156Z }, 2025-03-21T20:18:27.8693386Z { 2025-03-21T20:18:27.8693761Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8694211Z "size": 679, 2025-03-21T20:18:27.8694654Z "digest": "sha256:59fe3e9404630f57be5670798e4d94c7767c07a9ca79487e335054f938daf0ba" 2025-03-21T20:18:27.8695175Z }, 2025-03-21T20:18:27.8695396Z { 2025-03-21T20:18:27.8695770Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8696225Z "size": 356, 2025-03-21T20:18:27.8696678Z "digest": "sha256:3c65b9b0c07752feb5370318714bc114b717fb4cc8978ee39180b73cb1a03666" 2025-03-21T20:18:27.8697208Z }, 2025-03-21T20:18:27.8697432Z { 2025-03-21T20:18:27.8697800Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8698255Z "size": 32, 2025-03-21T20:18:27.8698716Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-03-21T20:18:27.8699260Z }, 2025-03-21T20:18:27.8699514Z { 2025-03-21T20:18:27.8699893Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8700388Z "size": 165, 2025-03-21T20:18:27.8700862Z "digest": "sha256:3d39d3c3833d0b35f99be7ef483e33856321f4f469a7fe9d58612f96caf7ab8c" 2025-03-21T20:18:27.8701399Z }, 2025-03-21T20:18:27.8701615Z { 2025-03-21T20:18:27.8701983Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8702521Z "size": 1111, 2025-03-21T20:18:27.8702990Z "digest": "sha256:040f4b25fe47bc8918c851025cce90e70d8c7182f8e6bbc984aee16c30b5bd3a" 2025-03-21T20:18:27.8703526Z }, 2025-03-21T20:18:27.8703869Z { 2025-03-21T20:18:27.8704249Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8704769Z "size": 32, 2025-03-21T20:18:27.8705234Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-03-21T20:18:27.8705775Z }, 2025-03-21T20:18:27.8705989Z { 2025-03-21T20:18:27.8706356Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-03-21T20:18:27.8706823Z "size": 108, 2025-03-21T20:18:27.8707279Z "digest": "sha256:2ce202d93f2e5871bc44522f1b7c6aab9bf20560c95bd2e9482dbde946b83ff7" 2025-03-21T20:18:27.8707810Z } 2025-03-21T20:18:27.8708024Z ] 2025-03-21T20:18:27.8708248Z } 2025-03-21T20:18:27.8735524Z ##[group]Run set -eux 2025-03-21T20:18:27.8735870Z set -eux 2025-03-21T20:18:27.8736864Z 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 2025-03-21T20:18:27.8744354Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:27.8744793Z env: 2025-03-21T20:18:27.8745095Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:27.8745511Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:27.8745839Z PR_NUMBER: 2025-03-21T20:18:27.8749377Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:18:27.8753179Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:27.8753854Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:27.8754485Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:27.8754936Z ##[endgroup] 2025-03-21T20:18:27.8783548Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-03-21T20:18:27.8784468Z + jq --raw-output .SecretString 2025-03-21T20:18:27.8786388Z + jq -r .docker_hub_readonly_token 2025-03-21T20:18:27.8787577Z + docker login --username pytorchbot --password-stdin 2025-03-21T20:18:28.4679872Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-03-21T20:18:28.4680562Z Configure a credential helper to remove this warning. See 2025-03-21T20:18:28.4681423Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-03-21T20:18:28.4682207Z 2025-03-21T20:18:28.4682398Z Login Succeeded 2025-03-21T20:18:28.4783476Z Prepare all required actions 2025-03-21T20:18:28.4820823Z ##[group]Run ./test-infra/.github/actions/pull-docker-image 2025-03-21T20:18:28.4821261Z with: 2025-03-21T20:18:28.4821996Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:28.4822932Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:28.4823372Z env: 2025-03-21T20:18:28.4823650Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:28.4824062Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:28.4824535Z PR_NUMBER: 2025-03-21T20:18:28.4828004Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:18:28.4831649Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:28.4832323Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:28.4833060Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:28.4833490Z ##[endgroup] 2025-03-21T20:18:28.4859100Z ##[group]Run set -x 2025-03-21T20:18:28.4859418Z set -x 2025-03-21T20:18:28.4859684Z set +e 2025-03-21T20:18:28.4859957Z  2025-03-21T20:18:28.4860194Z login() { 2025-03-21T20:18:28.4860728Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-03-21T20:18:28.4861315Z } 2025-03-21T20:18:28.4861559Z  2025-03-21T20:18:28.4861806Z retry () { 2025-03-21T20:18:28.4862109Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-03-21T20:18:28.4862475Z } 2025-03-21T20:18:28.4862721Z  2025-03-21T20:18:28.4862993Z retry login "${DOCKER_REGISTRY}" 2025-03-21T20:18:28.4863347Z  2025-03-21T20:18:28.4863590Z set -e 2025-03-21T20:18:28.4863976Z # ignore output since only exit code is used for conditional 2025-03-21T20:18:28.4864527Z # only pull docker image if it's not available locally 2025-03-21T20:18:28.4865135Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-03-21T20:18:28.4865703Z  retry docker pull "${DOCKER_IMAGE}" 2025-03-21T20:18:28.4866070Z fi 2025-03-21T20:18:28.4872412Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:18:28.4872958Z env: 2025-03-21T20:18:28.4873691Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:28.4874538Z REPOSITORY: pytorch/executorch 2025-03-21T20:18:28.4874870Z PR_NUMBER: 2025-03-21T20:18:28.4878451Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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}" 2025-03-21T20:18:28.4882111Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:18:28.4882781Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:18:28.4883402Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:18:28.4884062Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:28.4884488Z ##[endgroup] 2025-03-21T20:18:28.4909223Z + set +e 2025-03-21T20:18:28.4909969Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:28.4910495Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:28.4913355Z + aws ecr get-login-password --region us-east-1 2025-03-21T20:18:28.4914188Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-03-21T20:18:29.0163813Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-03-21T20:18:29.0164917Z Configure a credential helper to remove this warning. See 2025-03-21T20:18:29.0165919Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-03-21T20:18:29.0166803Z 2025-03-21T20:18:29.0166941Z Login Succeeded 2025-03-21T20:18:29.0182711Z + set -e 2025-03-21T20:18:29.0183583Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:29.0307998Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:29.0309375Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:18:29.2496647Z 2abd9b1bd42f655b7d130222db4a0cdbc04da8a4: Pulling from executorch/executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:18:29.2501543Z 8f84a9f2102e: Pulling fs layer 2025-03-21T20:18:29.2502745Z 86e413e13063: Pulling fs layer 2025-03-21T20:18:29.2503196Z 56848936f031: Pulling fs layer 2025-03-21T20:18:29.2503535Z 261c0f487ad0: Pulling fs layer 2025-03-21T20:18:29.2504080Z a3f0567f83ae: Pulling fs layer 2025-03-21T20:18:29.2504577Z a0c2fdb93dec: Pulling fs layer 2025-03-21T20:18:29.2505068Z 4e0f8d4747da: Pulling fs layer 2025-03-21T20:18:29.2505500Z 5a102502de33: Pulling fs layer 2025-03-21T20:18:29.2505830Z 5d24dc753f04: Pulling fs layer 2025-03-21T20:18:29.2506153Z 85f4a172d5b6: Pulling fs layer 2025-03-21T20:18:29.2506481Z bb9ad7d84f6e: Pulling fs layer 2025-03-21T20:18:29.2506790Z 5120711d46e3: Pulling fs layer 2025-03-21T20:18:29.2507115Z 2d4cecada8b4: Pulling fs layer 2025-03-21T20:18:29.2507431Z a3f0567f83ae: Waiting 2025-03-21T20:18:29.2507728Z a0c2fdb93dec: Waiting 2025-03-21T20:18:29.2508172Z e1fd02ccae09: Pulling fs layer 2025-03-21T20:18:29.2508675Z 4e0f8d4747da: Waiting 2025-03-21T20:18:29.2509183Z 508bc8ee650d: Pulling fs layer 2025-03-21T20:18:29.2509707Z 6ff1ffcc6d84: Pulling fs layer 2025-03-21T20:18:29.2510044Z 261c0f487ad0: Waiting 2025-03-21T20:18:29.2510333Z 6a063300ab4b: Pulling fs layer 2025-03-21T20:18:29.2510628Z 5a102502de33: Waiting 2025-03-21T20:18:29.2510957Z fb7c06bc00e5: Pulling fs layer 2025-03-21T20:18:29.2511275Z 5d24dc753f04: Waiting 2025-03-21T20:18:29.2511571Z eda4db11af8f: Pulling fs layer 2025-03-21T20:18:29.2511905Z 5120711d46e3: Waiting 2025-03-21T20:18:29.2512297Z 85f4a172d5b6: Waiting 2025-03-21T20:18:29.2512698Z 508bc8ee650d: Waiting 2025-03-21T20:18:29.2513076Z 2d4cecada8b4: Waiting 2025-03-21T20:18:29.2513377Z 3cfbc5ff2ac0: Pulling fs layer 2025-03-21T20:18:29.2513785Z bb9ad7d84f6e: Waiting 2025-03-21T20:18:29.2514206Z e1fd02ccae09: Waiting 2025-03-21T20:18:29.2514708Z 59fe3e940463: Pulling fs layer 2025-03-21T20:18:29.2515622Z 6ff1ffcc6d84: Waiting 2025-03-21T20:18:29.2515932Z 6a063300ab4b: Waiting 2025-03-21T20:18:29.2516223Z 50754bc025fc: Pulling fs layer 2025-03-21T20:18:29.2516530Z eda4db11af8f: Waiting 2025-03-21T20:18:29.2516828Z db5c552aa08b: Pulling fs layer 2025-03-21T20:18:29.2517148Z 3cfbc5ff2ac0: Waiting 2025-03-21T20:18:29.2517426Z fb7c06bc00e5: Waiting 2025-03-21T20:18:29.2517703Z 59fe3e940463: Waiting 2025-03-21T20:18:29.2517962Z 50754bc025fc: Waiting 2025-03-21T20:18:29.2518234Z db5c552aa08b: Waiting 2025-03-21T20:18:29.2518520Z 706d7d7c1227: Pulling fs layer 2025-03-21T20:18:29.2519041Z 32a4dbb2ef2f: Pulling fs layer 2025-03-21T20:18:29.2519372Z 242848c50d1a: Pulling fs layer 2025-03-21T20:18:29.2519668Z 706d7d7c1227: Waiting 2025-03-21T20:18:29.2520185Z 77ba92adb139: Pulling fs layer 2025-03-21T20:18:29.2520685Z 32a4dbb2ef2f: Waiting 2025-03-21T20:18:29.2521193Z 3c65b9b0c077: Pulling fs layer 2025-03-21T20:18:29.2521799Z 4f4fb700ef54: Pulling fs layer 2025-03-21T20:18:29.2522319Z 77ba92adb139: Waiting 2025-03-21T20:18:29.2522755Z 3d39d3c3833d: Pulling fs layer 2025-03-21T20:18:29.2523069Z 242848c50d1a: Waiting 2025-03-21T20:18:29.2523347Z 3c65b9b0c077: Waiting 2025-03-21T20:18:29.2523609Z 4f4fb700ef54: Waiting 2025-03-21T20:18:29.2523982Z 3d39d3c3833d: Waiting 2025-03-21T20:18:29.2524457Z 040f4b25fe47: Pulling fs layer 2025-03-21T20:18:29.2525017Z 2ce202d93f2e: Pulling fs layer 2025-03-21T20:18:29.2525525Z 040f4b25fe47: Waiting 2025-03-21T20:18:29.2525939Z 2ce202d93f2e: Waiting 2025-03-21T20:18:29.3320057Z 86e413e13063: Verifying Checksum 2025-03-21T20:18:29.3320473Z 86e413e13063: Download complete 2025-03-21T20:18:29.3956491Z 261c0f487ad0: Download complete 2025-03-21T20:18:29.6060914Z 8f84a9f2102e: Verifying Checksum 2025-03-21T20:18:29.6061504Z 8f84a9f2102e: Download complete 2025-03-21T20:18:29.6367513Z a3f0567f83ae: Verifying Checksum 2025-03-21T20:18:29.6368127Z a3f0567f83ae: Download complete 2025-03-21T20:18:29.6745159Z a0c2fdb93dec: Verifying Checksum 2025-03-21T20:18:29.6745913Z a0c2fdb93dec: Download complete 2025-03-21T20:18:29.8082517Z 5a102502de33: Verifying Checksum 2025-03-21T20:18:29.8083004Z 5a102502de33: Download complete 2025-03-21T20:18:29.8929523Z 5d24dc753f04: Verifying Checksum 2025-03-21T20:18:29.8930438Z 5d24dc753f04: Download complete 2025-03-21T20:18:29.9651537Z 85f4a172d5b6: Download complete 2025-03-21T20:18:30.4468047Z bb9ad7d84f6e: Verifying Checksum 2025-03-21T20:18:30.4468491Z bb9ad7d84f6e: Download complete 2025-03-21T20:18:30.5832956Z 5120711d46e3: Verifying Checksum 2025-03-21T20:18:30.5833520Z 5120711d46e3: Download complete 2025-03-21T20:18:30.6336127Z 8f84a9f2102e: Pull complete 2025-03-21T20:18:30.6583027Z 86e413e13063: Pull complete 2025-03-21T20:18:30.8723256Z 56848936f031: Verifying Checksum 2025-03-21T20:18:30.8723771Z 56848936f031: Download complete 2025-03-21T20:18:30.9455714Z e1fd02ccae09: Verifying Checksum 2025-03-21T20:18:30.9456392Z e1fd02ccae09: Download complete 2025-03-21T20:18:31.0106954Z 4e0f8d4747da: Verifying Checksum 2025-03-21T20:18:31.0107398Z 4e0f8d4747da: Download complete 2025-03-21T20:18:31.0216332Z 508bc8ee650d: Verifying Checksum 2025-03-21T20:18:31.0216947Z 508bc8ee650d: Download complete 2025-03-21T20:18:31.0891506Z 6ff1ffcc6d84: Verifying Checksum 2025-03-21T20:18:31.0892201Z 6ff1ffcc6d84: Download complete 2025-03-21T20:18:31.1538920Z fb7c06bc00e5: Verifying Checksum 2025-03-21T20:18:31.1539550Z fb7c06bc00e5: Download complete 2025-03-21T20:18:31.2562263Z eda4db11af8f: Verifying Checksum 2025-03-21T20:18:31.2562862Z eda4db11af8f: Download complete 2025-03-21T20:18:31.3548013Z 3cfbc5ff2ac0: Verifying Checksum 2025-03-21T20:18:31.3548767Z 3cfbc5ff2ac0: Download complete 2025-03-21T20:18:31.4352000Z 59fe3e940463: Verifying Checksum 2025-03-21T20:18:31.4352566Z 59fe3e940463: Download complete 2025-03-21T20:18:31.8432584Z 6a063300ab4b: Verifying Checksum 2025-03-21T20:18:31.8433292Z 6a063300ab4b: Download complete 2025-03-21T20:18:31.9291216Z db5c552aa08b: Verifying Checksum 2025-03-21T20:18:31.9291850Z db5c552aa08b: Download complete 2025-03-21T20:18:33.1248073Z 2d4cecada8b4: Verifying Checksum 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2025-03-21T20:18:35.4744347Z 261c0f487ad0: Pull complete 2025-03-21T20:18:35.8927014Z a3f0567f83ae: Pull complete 2025-03-21T20:18:36.0630401Z a0c2fdb93dec: Pull complete 2025-03-21T20:18:38.9914019Z 4e0f8d4747da: Pull complete 2025-03-21T20:18:39.1352891Z 5a102502de33: Pull complete 2025-03-21T20:18:39.2464538Z 5d24dc753f04: Pull complete 2025-03-21T20:18:39.3329963Z 85f4a172d5b6: Pull complete 2025-03-21T20:18:40.0213508Z bb9ad7d84f6e: Pull complete 2025-03-21T20:18:40.1896335Z 5120711d46e3: Pull complete 2025-03-21T20:18:47.7261827Z 2d4cecada8b4: Pull complete 2025-03-21T20:18:47.9194614Z e1fd02ccae09: Pull complete 2025-03-21T20:18:48.0725567Z 508bc8ee650d: Pull complete 2025-03-21T20:18:48.2368465Z 6ff1ffcc6d84: Pull complete 2025-03-21T20:18:50.3204227Z 6a063300ab4b: Pull complete 2025-03-21T20:18:50.5258994Z fb7c06bc00e5: Pull complete 2025-03-21T20:18:50.7411849Z eda4db11af8f: Pull complete 2025-03-21T20:18:50.9568523Z 3cfbc5ff2ac0: Pull complete 2025-03-21T20:18:51.0995122Z 59fe3e940463: Pull complete 2025-03-21T20:19:39.8861811Z 50754bc025fc: Verifying Checksum 2025-03-21T20:19:39.8862232Z 50754bc025fc: Download complete 2025-03-21T20:20:58.3969358Z 50754bc025fc: Pull complete 2025-03-21T20:20:58.5489718Z db5c552aa08b: Pull complete 2025-03-21T20:21:06.4166762Z 706d7d7c1227: Pull complete 2025-03-21T20:21:06.4481309Z 32a4dbb2ef2f: Pull complete 2025-03-21T20:21:14.2757208Z 242848c50d1a: Pull complete 2025-03-21T20:21:14.4400624Z 77ba92adb139: Pull complete 2025-03-21T20:21:14.5943983Z 3c65b9b0c077: Pull complete 2025-03-21T20:21:14.7199354Z 4f4fb700ef54: Pull complete 2025-03-21T20:21:14.8646191Z 3d39d3c3833d: Pull complete 2025-03-21T20:21:15.0461052Z 040f4b25fe47: Pull complete 2025-03-21T20:21:15.1823842Z 2ce202d93f2e: Pull complete 2025-03-21T20:21:15.2116973Z Digest: sha256:d38559c98aeb82552e009bbb7b17d76adfa19c8f3fb874ea99a5e76d87757f76 2025-03-21T20:21:15.2334935Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:21:15.2475148Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:21:15.2521482Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-03-21T20:21:15.2522547Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-03-21T20:21:15.2530225Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:21:15.2530697Z env: 2025-03-21T20:21:15.2531008Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:21:15.2531421Z REPOSITORY: pytorch/executorch 2025-03-21T20:21:15.2531750Z PR_NUMBER: 2025-03-21T20:21:15.2535222Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:21:15.2539058Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:21:15.2539724Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:21:15.2540351Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:21:15.2540784Z ##[endgroup] 2025-03-21T20:21:15.2683047Z ##[group]Run set -ex 2025-03-21T20:21:15.2683388Z set -ex 2025-03-21T20:21:15.2683652Z { 2025-03-21T20:21:15.2683923Z  echo "#!/usr/bin/env bash"; 2025-03-21T20:21:15.2684285Z  echo "set -eou pipefail"; 2025-03-21T20:21:15.2684658Z  # shellcheck disable=SC2016 2025-03-21T20:21:15.2685055Z  echo 'eval "$(conda shell.bash hook)"'; 2025-03-21T20:21:15.2685444Z  echo "set -x"; 2025-03-21T20:21:15.2685758Z  echo "${SCRIPT}"; 2025-03-21T20:21:15.2686097Z } > "${RUNNER_TEMP}/exec_script" 2025-03-21T20:21:15.2686491Z chmod +x "${RUNNER_TEMP}/exec_script" 2025-03-21T20:21:15.2687472Z python3 "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py" "" 2025-03-21T20:21:15.2693470Z shell: /usr/bin/bash -e {0} 2025-03-21T20:21:15.2693787Z env: 2025-03-21T20:21:15.2694546Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4 2025-03-21T20:21:15.2695390Z REPOSITORY: pytorch/executorch 2025-03-21T20:21:15.2695723Z PR_NUMBER: 2025-03-21T20:21:15.2699217Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:21:15.2702870Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:21:15.2703525Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:21:15.2704284Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:21:15.2705040Z ALL_SECRETS: { "github_token": "***" } 2025-03-21T20:21:15.2705406Z ##[endgroup] 2025-03-21T20:21:15.2729194Z + echo '#!/usr/bin/env bash' 2025-03-21T20:21:15.2729556Z + echo 'set -eou pipefail' 2025-03-21T20:21:15.2729988Z + echo 'eval "$(conda shell.bash hook)"' 2025-03-21T20:21:15.2731680Z + echo 'set -x' 2025-03-21T20:21:15.2732231Z + echo '# The generic Linux job chooses to use base env, not the one setup by the image 2025-03-21T20:21:15.2733067Z CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") 2025-03-21T20:21:15.2733883Z conda activate "${CONDA_ENV}" 2025-03-21T20:21:15.2734215Z 2025-03-21T20:21:15.2734342Z BUILD_TOOL="cmake" 2025-03-21T20:21:15.2734626Z DTYPE=fp32 2025-03-21T20:21:15.2734875Z MODE=qnn 2025-03-21T20:21:15.2735139Z PT2E_QUANTIZE=qnn_16a16w 2025-03-21T20:21:15.2735331Z 2025-03-21T20:21:15.2735516Z ./install_requirements.sh --use-pt-pinned-commit 2025-03-21T20:21:15.2736019Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh 2025-03-21T20:21:15.2736567Z PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh 2025-03-21T20:21:15.2736908Z 2025-03-21T20:21:15.2737015Z # Setup executorch 2025-03-21T20:21:15.2737507Z PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${BUILD_TOOL}" 2025-03-21T20:21:15.2738276Z # Install requirements for export_llama 2025-03-21T20:21:15.2738785Z PYTHON_EXECUTABLE=python bash examples/models/llama/install_requirements.sh 2025-03-21T20:21:15.2739296Z # Test llama2 2025-03-21T20:21:15.2740240Z PYTHON_EXECUTABLE=python bash .ci/scripts/test_llama.sh -model stories110M -build_tool "${BUILD_TOOL}" -mode "${MODE}" -dtype "${DTYPE}" -pt2e_quantize "${PT2E_QUANTIZE}" 2025-03-21T20:21:15.2741464Z ' 2025-03-21T20:21:15.2741808Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script 2025-03-21T20:21:15.2742666Z + python3 /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra/.github/scripts/run_with_env_secrets.py '' 2025-03-21T20:21:32.2475054Z Running command: 2025-03-21T20:21:32.2482010Z docker run -e PR_NUMBER -e RUNNER_ARTIFACT_DIR=/artifacts -e RUNNER_DOCS_DIR=/docs -e RUNNER_TEST_RESULTS_DIR=/test-results --env-file="/home/ec2-user/actions-runner/_work/_temp/github_env_14000170668" `# It is unknown why the container sees a different value for this.` -e GITHUB_STEP_SUMMARY -e SECRET_GITHUB_TOKEN --cap-add=SYS_PTRACE --detach --ipc=host --security-opt seccomp=unconfined --shm-size=2g --tty --ulimit stack=10485760:83886080 --ulimit core=0 -v "/home/ec2-user/actions-runner/_work/executorch/executorch/pytorch/executorch:/pytorch/executorch" -v "/home/ec2-user/actions-runner/_work/executorch/executorch/test-infra:/test-infra" -v "/home/ec2-user/actions-runner/_work/_temp/artifacts:/artifacts" -v "/home/ec2-user/actions-runner/_work/_temp/docs:/docs" -v "/home/ec2-user/actions-runner/_work/_temp/test-results:/test-results" -v "/home/ec2-user/actions-runner/_work/_temp/exec_script:/exec" -v "/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_5f497f2a-cb1f-4f32-be15-0f59b97ccd53":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_5f497f2a-cb1f-4f32-be15-0f59b97ccd53" -w /pytorch/executorch "308535385114.dkr.ecr.us-east-1.amazonaws.com/executorch/executorch-ubuntu-22.04-qnn-sdk:2abd9b1bd42f655b7d130222db4a0cdbc04da8a4" 2025-03-21T20:21:32.2488565Z 2025-03-21T20:21:32.2488979Z 8d1c4ffabdfdefbddd27adc5cdc07299d369c7a83ba33fc97a591c83cfb15b17 2025-03-21T20:21:32.2489927Z Running command: docker exec -t 8d1c4ffabdfdefbddd27adc5cdc07299d369c7a83ba33fc97a591c83cfb15b17 /exec 2025-03-21T20:21:32.2490583Z ++ conda env list --json 2025-03-21T20:21:32.2490883Z ++ local cmd=env 2025-03-21T20:21:32.2491149Z ++ case "$cmd" in 2025-03-21T20:21:32.2491428Z ++ __conda_exe env list --json 2025-03-21T20:21:32.2491747Z ++ jq -r '.envs | .[-1]' 2025-03-21T20:21:32.2492052Z ++ /opt/conda/bin/conda env list --json 2025-03-21T20:21:32.2492425Z + CONDA_ENV=/opt/conda/envs/py_3.10 2025-03-21T20:21:32.2492797Z + conda activate /opt/conda/envs/py_3.10 2025-03-21T20:21:32.2493154Z + local cmd=activate 2025-03-21T20:21:32.2493426Z + case "$cmd" in 2025-03-21T20:21:32.2493729Z + __conda_activate activate /opt/conda/envs/py_3.10 2025-03-21T20:21:32.2494115Z + '[' -n '' ']' 2025-03-21T20:21:32.2494375Z + local ask_conda 2025-03-21T20:21:32.2494640Z ++ PS1='(base) ' 2025-03-21T20:21:32.2494995Z ++ __conda_exe shell.posix activate /opt/conda/envs/py_3.10 2025-03-21T20:21:32.2495540Z ++ /opt/conda/bin/conda shell.posix activate /opt/conda/envs/py_3.10 2025-03-21T20:21:32.2496028Z + ask_conda='PS1='\''(py_3.10) '\'' 2025-03-21T20:21:32.2497001Z 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'\'' 2025-03-21T20:21:32.2498028Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\'' 2025-03-21T20:21:32.2498437Z export CONDA_SHLVL='\''2'\'' 2025-03-21T20:21:32.2499076Z export CONDA_DEFAULT_ENV='\''py_3.10'\'' 2025-03-21T20:21:32.2499528Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\'' 2025-03-21T20:21:32.2499925Z export CONDA_PREFIX_1='\''/opt/conda'\'' 2025-03-21T20:21:32.2500321Z export CONDA_EXE='\''/opt/conda/bin/conda'\'' 2025-03-21T20:21:32.2500698Z export _CE_M='\'''\'' 2025-03-21T20:21:32.2500990Z export _CE_CONDA='\'''\'' 2025-03-21T20:21:32.2501565Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\''' 2025-03-21T20:21:32.2501982Z + eval 'PS1='\''(py_3.10) '\'' 2025-03-21T20:21:32.2502933Z 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'\'' 2025-03-21T20:21:32.2503958Z export CONDA_PREFIX='\''/opt/conda/envs/py_3.10'\'' 2025-03-21T20:21:32.2504370Z export CONDA_SHLVL='\''2'\'' 2025-03-21T20:21:32.2504716Z export CONDA_DEFAULT_ENV='\''py_3.10'\'' 2025-03-21T20:21:32.2505125Z export CONDA_PROMPT_MODIFIER='\''(py_3.10) '\'' 2025-03-21T20:21:32.2505525Z export CONDA_PREFIX_1='\''/opt/conda'\'' 2025-03-21T20:21:32.2505919Z export CONDA_EXE='\''/opt/conda/bin/conda'\'' 2025-03-21T20:21:32.2506291Z export _CE_M='\'''\'' 2025-03-21T20:21:32.2506578Z export _CE_CONDA='\'''\'' 2025-03-21T20:21:32.2507051Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\''' 2025-03-21T20:21:32.2507521Z ++ PS1='(py_3.10) ' 2025-03-21T20:21:32.2508417Z ++ 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 2025-03-21T20:21:32.2509947Z ++ 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 2025-03-21T20:21:32.2510906Z ++ export CONDA_PREFIX=/opt/conda/envs/py_3.10 2025-03-21T20:21:32.2511304Z ++ CONDA_PREFIX=/opt/conda/envs/py_3.10 2025-03-21T20:21:32.2511661Z ++ export CONDA_SHLVL=2 2025-03-21T20:21:32.2511935Z ++ CONDA_SHLVL=2 2025-03-21T20:21:32.2512231Z ++ export CONDA_DEFAULT_ENV=py_3.10 2025-03-21T20:21:32.2512582Z ++ CONDA_DEFAULT_ENV=py_3.10 2025-03-21T20:21:32.2513036Z ++ export 'CONDA_PROMPT_MODIFIER=(py_3.10) ' 2025-03-21T20:21:32.2513413Z ++ CONDA_PROMPT_MODIFIER='(py_3.10) ' 2025-03-21T20:21:32.2513778Z ++ export CONDA_PREFIX_1=/opt/conda 2025-03-21T20:21:32.2514125Z ++ CONDA_PREFIX_1=/opt/conda 2025-03-21T20:21:32.2514465Z ++ export CONDA_EXE=/opt/conda/bin/conda 2025-03-21T20:21:32.2514836Z ++ CONDA_EXE=/opt/conda/bin/conda 2025-03-21T20:21:32.2515148Z ++ export _CE_M= 2025-03-21T20:21:32.2515411Z ++ _CE_M= 2025-03-21T20:21:32.2515655Z ++ export _CE_CONDA= 2025-03-21T20:21:32.2515929Z ++ _CE_CONDA= 2025-03-21T20:21:32.2516231Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python 2025-03-21T20:21:32.2516628Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python 2025-03-21T20:21:32.2516981Z + __conda_hashr 2025-03-21T20:21:32.2517240Z + '[' -n '' ']' 2025-03-21T20:21:32.2517499Z + '[' -n '' ']' 2025-03-21T20:21:32.2517755Z + hash -r 2025-03-21T20:21:32.2517994Z + BUILD_TOOL=cmake 2025-03-21T20:21:32.2518268Z + DTYPE=fp32 2025-03-21T20:21:32.2518512Z + MODE=qnn 2025-03-21T20:21:32.2518768Z + PT2E_QUANTIZE=qnn_16a16w 2025-03-21T20:21:32.2519123Z + ./install_requirements.sh --use-pt-pinned-commit 2025-03-21T20:21:32.2519777Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2025-03-21T20:21:32.2520695Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed) 2025-03-21T20:21:32.2521720Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1) 2025-03-21T20:21:32.2522752Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8) 2025-03-21T20:21:32.2523566Z Collecting timm==1.0.7 (from -r requirements-examples.txt (line 3)) 2025-03-21T20:21:32.2524136Z Downloading timm-1.0.7-py3-none-any.whl.metadata (47 kB) 2025-03-21T20:21:32.2525190Z 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) 2025-03-21T20:21:32.2526574Z 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) 2025-03-21T20:21:32.2527646Z Collecting cmake>=3.19 (from -r requirements-dev.txt (line 1)) 2025-03-21T20:21:32.2528363Z Downloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (6.3 kB) 2025-03-21T20:21:32.2529414Z 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) 2025-03-21T20:21:32.2530662Z 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) 2025-03-21T20:21:32.2531961Z 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) 2025-03-21T20:21:32.2533237Z Requirement already satisfied: tomli in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 5)) (2.0.1) 2025-03-21T20:21:32.2534490Z Requirement already satisfied: wheel in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 6)) (0.45.1) 2025-03-21T20:21:32.2535751Z Requirement already satisfied: zstd in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-dev.txt (line 7)) (1.5.5.1) 2025-03-21T20:21:32.2537134Z Requirement already satisfied: huggingface_hub in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from timm==1.0.7->-r requirements-examples.txt (line 3)) (0.29.3) 2025-03-21T20:21:32.2538606Z Requirement already satisfied: safetensors in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from timm==1.0.7->-r requirements-examples.txt (line 3)) (0.5.3) 2025-03-21T20:21:32.2540277Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.18.0) 2025-03-21T20:21:32.2541794Z Requirement already satisfied: numpy>=1.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.2.4) 2025-03-21T20:21:32.2543315Z Requirement already satisfied: packaging>=20.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (24.2) 2025-03-21T20:21:32.2544864Z Requirement already satisfied: regex!=2019.12.17 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2024.11.6) 2025-03-21T20:21:32.2546387Z Requirement already satisfied: requests in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.32.3) 2025-03-21T20:21:32.2547946Z Requirement already satisfied: tokenizers<0.22,>=0.21 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (0.21.1) 2025-03-21T20:21:32.2549474Z Requirement already satisfied: tqdm>=4.27 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from transformers==4.47.1->-r requirements-examples.txt (line 5)) (4.67.1) 2025-03-21T20:21:45.5256056Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (4.12.2) 2025-03-21T20:21:45.5258069Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (1.13.3) 2025-03-21T20:21:45.5259114Z Requirement already satisfied: networkx in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.4.2) 2025-03-21T20:21:45.5260137Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (3.1.6) 2025-03-21T20:21:45.5261155Z Requirement already satisfied: fsspec in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch) (2025.3.0) 2025-03-21T20:21:45.5262466Z Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torchvision) (11.1.0) 2025-03-21T20:21:45.5263721Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch) (1.3.0) 2025-03-21T20:21:45.5264860Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch) (3.0.2) 2025-03-21T20:21:45.5266304Z Requirement already satisfied: charset-normalizer<4,>=2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.4.1) 2025-03-21T20:21:45.5268195Z Requirement already satisfied: idna<4,>=2.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (3.10) 2025-03-21T20:21:45.5269802Z Requirement already satisfied: urllib3<3,>=1.21.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from requests->transformers==4.47.1->-r requirements-examples.txt (line 5)) (2.3.0) 2025-03-21T20:21:45.5271447Z 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) 2025-03-21T20:21:45.5272508Z Downloading timm-1.0.7-py3-none-any.whl (2.3 MB) 2025-03-21T20:21:45.5273809Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/2.3 MB ? eta -:--:-- 2025-03-21T20:21:45.5274583Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 2.3/2.3 MB 85.9 MB/s eta 0:00:00 2025-03-21T20:21:45.5275513Z [?25hDownloading cmake-3.31.6-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.8 MB) 2025-03-21T20:21:45.5276348Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/27.8 MB ? eta -:--:-- 2025-03-21T20:21:45.5277133Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27.8/27.8 MB 230.9 MB/s eta 0:00:00 2025-03-21T20:21:45.5277729Z [?25hInstalling collected packages: cmake, timm 2025-03-21T20:21:45.5278138Z Attempting uninstall: timm 2025-03-21T20:21:45.5278498Z Found existing installation: timm 0.6.13 2025-03-21T20:21:45.5278889Z Uninstalling timm-0.6.13: 2025-03-21T20:21:45.5279246Z Successfully uninstalled timm-0.6.13 2025-03-21T20:21:45.5279658Z Successfully installed cmake-3.31.6 timm-1.0.7 2025-03-21T20:21:45.5280059Z Processing ./third-party/ao 2025-03-21T20:21:45.5280516Z Preparing metadata (setup.py) ... [?25l- \ done 2025-03-21T20:21:45.5281033Z [?25hBuilding wheels for collected packages: torchao 2025-03-21T20:21:45.5281613Z Building wheel for torchao (setup.py) ... [?25l- \ | done 2025-03-21T20:21:45.5282804Z [?25h Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=ce1b1033a787ea54a8e45d314c35cecc40d8d75c2a5197ddea3b561c717dfaa2 2025-03-21T20:21:45.5284147Z Stored in directory: /tmp/pip-ephem-wheel-cache-wyhksh3g/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f 2025-03-21T20:21:45.5284916Z Successfully built torchao 2025-03-21T20:21:45.5285254Z Installing collected packages: torchao 2025-03-21T20:21:45.5285659Z Successfully installed torchao-0.10.0+git64bcf4c 2025-03-21T20:21:45.5286067Z + PYTHON_EXECUTABLE=python 2025-03-21T20:21:45.5286402Z + bash .ci/scripts/setup-qnn-deps.sh 2025-03-21T20:21:45.5286750Z + setup_libc++ 12 2025-03-21T20:21:45.5287021Z + clang_version=12 2025-03-21T20:21:45.5287283Z + sudo apt-get update 2025-03-21T20:21:45.5287470Z 2025-03-21T20:21:45.5287576Z 0% [Working] 2025-03-21T20:21:45.5287820Z 2025-03-21T20:21:45.5288161Z Hit:1 http://archive.ubuntu.com/ubuntu jammy InRelease 2025-03-21T20:21:45.5288462Z 2025-03-21T20:21:45.5288699Z 0% [Waiting for headers] [Waiting for headers] [Waiting for headers] 2025-03-21T20:21:45.5289334Z 2025-03-21T20:21:45.5289844Z Get:2 http://security.ubuntu.com/ubuntu jammy-security InRelease [129 kB] 2025-03-21T20:21:45.5290243Z 2025-03-21T20:21:45.5290495Z 0% [Waiting for headers] [2 InRelease 14.2 kB/129 kB 11%] [Waiting for headers] 2025-03-21T20:21:45.5291092Z 2025-03-21T20:21:45.5291610Z Get:3 http://archive.ubuntu.com/ubuntu jammy-updates InRelease [128 kB] 2025-03-21T20:21:45.5291982Z 2025-03-21T20:21:45.5292224Z 0% [3 InRelease 14.2 kB/128 kB 11%] [2 InRelease 14.2 kB/129 kB 11%] [Waiting f 2025-03-21T20:21:45.5292708Z 2025-03-21T20:21:45.5293137Z Hit:4 https://dl.yarnpkg.com/debian stable InRelease 2025-03-21T20:21:45.5293447Z 2025-03-21T20:21:45.5293668Z 0% [3 InRelease 15.6 kB/128 kB 12%] [2 InRelease 41.7 kB/129 kB 32%] [Waiting f 2025-03-21T20:21:45.5294152Z 2025-03-21T20:21:45.5294584Z 0% [3 InRelease 75.0 kB/128 kB 59%] [Waiting for headers] 2025-03-21T20:21:45.5295000Z 2025-03-21T20:21:45.5295458Z Hit:5 https://deb.nodesource.com/node_16.x nodistro InRelease 2025-03-21T20:21:45.5295788Z 2025-03-21T20:21:45.5295906Z 2025-03-21T20:21:45.5296267Z 0% [3 InRelease 77.9 kB/128 kB 61%] 2025-03-21T20:21:45.5296595Z 2025-03-21T20:21:45.5296933Z 0% [Working] 2025-03-21T20:21:45.5297182Z 2025-03-21T20:21:45.5297581Z Get:6 http://archive.ubuntu.com/ubuntu jammy-backports InRelease [127 kB] 2025-03-21T20:21:45.5297983Z 2025-03-21T20:21:45.5298099Z 0% [6 InRelease 8380 B/127 kB 7%] 2025-03-21T20:21:45.5298429Z 2025-03-21T20:21:45.5298748Z 0% [Working] 2025-03-21T20:21:45.5298996Z 0% [Working] 2025-03-21T20:21:45.5299229Z 0% [Working] 2025-03-21T20:21:45.5299479Z 0% [Working] 2025-03-21T20:21:45.5299731Z 0% [Working] 2025-03-21T20:21:45.5299978Z 0% [Working] 2025-03-21T20:21:45.5300351Z 2025-03-21T20:21:45.5300804Z Get:7 http://archive.ubuntu.com/ubuntu jammy-updates/main amd64 Packages [3003 kB] 2025-03-21T20:21:45.5301249Z 2025-03-21T20:21:45.5301369Z 0% [7 Packages 5759 B/3003 kB 0%] 2025-03-21T20:21:45.5301710Z 65% [7 Packages 1661 kB/3003 kB 55%] 2025-03-21T20:21:45.5302050Z 2025-03-21T20:21:45.5302371Z 95% [Working] 2025-03-21T20:21:45.5302658Z 95% [7 Packages store 0 B] [Waiting for headers] 2025-03-21T20:21:45.5303041Z 2025-03-21T20:21:45.5303581Z Get:8 http://archive.ubuntu.com/ubuntu jammy-backports/main amd64 Packages [112 kB] 2025-03-21T20:21:45.5304010Z 2025-03-21T20:21:45.5304203Z 95% [7 Packages store 0 B] [8 Packages 12.8 kB/112 kB 11%] 2025-03-21T20:21:45.5304624Z 2025-03-21T20:21:45.5304973Z 98% [7 Packages store 0 B] 2025-03-21T20:21:45.5305272Z 2025-03-21T20:21:45.5305779Z Get:9 http://archive.ubuntu.com/ubuntu jammy-backports/universe amd64 Packages [38.5 kB] 2025-03-21T20:21:45.5306227Z 2025-03-21T20:21:45.5306419Z 98% [7 Packages store 0 B] [9 Packages 31.2 kB/38.5 kB 81%] 2025-03-21T20:21:45.5306837Z 2025-03-21T20:21:45.5307198Z 99% [7 Packages store 0 B] 2025-03-21T20:21:45.5307484Z 2025-03-21T20:21:45.5307763Z 99% [Working] 2025-03-21T20:21:45.5308024Z 99% [8 Packages store 0 B] 2025-03-21T20:21:45.5308324Z 2025-03-21T20:21:45.5308595Z 100% [Working] 2025-03-21T20:21:45.5308863Z 100% [9 Packages store 0 B] 2025-03-21T20:21:45.5309169Z 2025-03-21T20:21:45.5309459Z 100% [Working] 2025-03-21T20:21:45.5309791Z 2025-03-21T20:21:45.5310050Z Fetched 3538 kB in 1s (5278 kB/s) 2025-03-21T20:21:45.5310278Z 2025-03-21T20:21:45.5310397Z Reading package lists... 0% 2025-03-21T20:21:45.5310608Z 2025-03-21T20:21:45.5310726Z Reading package lists... 0% 2025-03-21T20:21:45.5310922Z 2025-03-21T20:21:45.5311053Z Reading package lists... 0% 2025-03-21T20:21:45.5311250Z 2025-03-21T20:21:45.5311448Z Reading package lists... 4% 2025-03-21T20:21:45.5311646Z 2025-03-21T20:21:45.5311776Z Reading package lists... 4% 2025-03-21T20:21:45.5311970Z 2025-03-21T20:21:45.5312087Z Reading package lists... 5% 2025-03-21T20:21:45.5312295Z 2025-03-21T20:21:45.5312410Z Reading package lists... 5% 2025-03-21T20:21:45.5312622Z 2025-03-21T20:21:45.5312744Z Reading package lists... 48% 2025-03-21T20:21:45.5312948Z 2025-03-21T20:21:45.5313085Z Reading package lists... 48% 2025-03-21T20:21:45.5313289Z 2025-03-21T20:21:45.5313539Z Reading package lists... 48% 2025-03-21T20:21:45.5313745Z 2025-03-21T20:21:45.5313887Z Reading package lists... 48% 2025-03-21T20:21:45.5314087Z 2025-03-21T20:21:45.5314206Z Reading package lists... 57% 2025-03-21T20:21:45.5314424Z 2025-03-21T20:21:45.5314543Z Reading package lists... 57% 2025-03-21T20:21:45.5314757Z 2025-03-21T20:21:45.5314875Z Reading package lists... 70% 2025-03-21T20:21:45.5315094Z 2025-03-21T20:21:45.5315212Z Reading package lists... 70% 2025-03-21T20:21:45.5315409Z 2025-03-21T20:21:45.5315544Z Reading package lists... 74% 2025-03-21T20:21:45.5315742Z 2025-03-21T20:21:45.5315873Z Reading package lists... 74% 2025-03-21T20:21:45.5316070Z 2025-03-21T20:21:45.5316186Z Reading package lists... 75% 2025-03-21T20:21:45.5316397Z 2025-03-21T20:21:45.5316512Z Reading package lists... 75% 2025-03-21T20:21:45.5316722Z 2025-03-21T20:21:45.5316838Z Reading package lists... 75% 2025-03-21T20:21:45.5317050Z 2025-03-21T20:21:45.5317166Z Reading package lists... 75% 2025-03-21T20:21:45.5317362Z 2025-03-21T20:21:45.5317491Z Reading package lists... 75% 2025-03-21T20:21:45.5317694Z 2025-03-21T20:21:45.5317823Z Reading package lists... 75% 2025-03-21T20:21:45.5318019Z 2025-03-21T20:21:45.5318135Z Reading package lists... 76% 2025-03-21T20:21:45.5318347Z 2025-03-21T20:21:45.5318462Z Reading package lists... 83% 2025-03-21T20:21:45.5318676Z 2025-03-21T20:21:45.5318792Z Reading package lists... 83% 2025-03-21T20:21:45.5319005Z 2025-03-21T20:21:45.5319125Z Reading package lists... 95% 2025-03-21T20:21:45.5319324Z 2025-03-21T20:21:45.5319453Z Reading package lists... 95% 2025-03-21T20:21:45.5319653Z 2025-03-21T20:21:45.5319781Z Reading package lists... 99% 2025-03-21T20:21:45.5319979Z 2025-03-21T20:21:45.5320095Z Reading package lists... 99% 2025-03-21T20:21:45.5320305Z 2025-03-21T20:21:45.5320420Z Reading package lists... 99% 2025-03-21T20:21:45.5320634Z 2025-03-21T20:21:45.5320749Z Reading package lists... 99% 2025-03-21T20:21:45.5320959Z 2025-03-21T20:21:45.5321074Z Reading package lists... 99% 2025-03-21T20:21:45.5321271Z 2025-03-21T20:21:45.5321400Z Reading package lists... 99% 2025-03-21T20:21:45.5321603Z 2025-03-21T20:21:45.5321732Z Reading package lists... 99% 2025-03-21T20:21:45.5321930Z 2025-03-21T20:21:45.5322046Z Reading package lists... 99% 2025-03-21T20:21:45.5322257Z 2025-03-21T20:21:45.5322376Z Reading package lists... 99% 2025-03-21T20:21:45.5322588Z 2025-03-21T20:21:45.5322705Z Reading package lists... 99% 2025-03-21T20:21:45.5322916Z 2025-03-21T20:21:45.5323044Z Reading package lists... Done 2025-03-21T20:21:45.5323250Z 2025-03-21T20:21:45.5324006Z 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. 2025-03-21T20:21:45.5325029Z + pkgs_to_check=("libc++-${clang_version}-dev") 2025-03-21T20:21:45.5325388Z + j=0 2025-03-21T20:21:45.5325640Z + '[' 0 -lt 1 ']' 2025-03-21T20:21:45.5325937Z ++ verify_pkg_installed libc++-12-dev 2025-03-21T20:21:45.5326371Z +++ dpkg-query -W '--showformat=${Status}\n' libc++-12-dev 2025-03-21T20:21:45.5326895Z +++ grep 'install ok installed' 2025-03-21T20:21:45.5327219Z ++ echo install ok installed 2025-03-21T20:21:45.5327552Z + install_status='install ok installed' 2025-03-21T20:21:45.5327923Z + '[' 'install ok installed' == '' ']' 2025-03-21T20:21:45.5328259Z + j=1 2025-03-21T20:21:45.5328497Z + '[' 1 -lt 1 ']' 2025-03-21T20:21:45.5328744Z + install_qnn 2025-03-21T20:21:45.5329097Z + echo 'Start installing qnn.' 2025-03-21T20:21:45.5329427Z Start installing qnn. 2025-03-21T20:21:45.5329737Z + QNN_INSTALLATION_DIR=/tmp/qnn 2025-03-21T20:21:45.5330070Z + mkdir -p /tmp/qnn 2025-03-21T20:21:45.5330805Z + 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 2025-03-21T20:22:26.5464986Z % Total % Received % Xferd Average Speed Time Time Time Current 2025-03-21T20:22:26.5465885Z Dload Upload Total Spent Left Speed 2025-03-21T20:22:26.5466201Z 2025-03-21T20:22:26.5466401Z 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 2025-03-21T20:22:26.5467087Z 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 2025-03-21T20:22:26.5467547Z 100 134 100 134 0 0 416 0 --:--:-- --:--:-- --:--:-- 416 2025-03-21T20:22:26.5467849Z 2025-03-21T20:22:26.5468051Z 0 954M 0 815k 0 0 738k 0 0:22:04 0:00:01 0:22:03 738k 2025-03-21T20:22:26.5468504Z 6 954M 6 64.8M 0 0 30.8M 0 0:00:30 0:00:02 0:00:28 64.2M 2025-03-21T20:22:26.5468982Z 14 954M 14 137M 0 0 44.3M 0 0:00:21 0:00:03 0:00:18 68.5M 2025-03-21T20:22:26.5469699Z 22 954M 22 211M 0 0 51.5M 0 0:00:18 0:00:04 0:00:14 70.3M 2025-03-21T20:22:26.5470198Z 29 954M 29 286M 0 0 56.1M 0 0:00:17 0:00:05 0:00:12 71.5M 2025-03-21T20:22:26.5470670Z 37 954M 37 359M 0 0 58.9M 0 0:00:16 0:00:06 0:00:10 71.8M 2025-03-21T20:22:26.5471148Z 45 954M 45 436M 0 0 61.6M 0 0:00:15 0:00:07 0:00:08 74.5M 2025-03-21T20:22:26.5471609Z 53 954M 53 509M 0 0 62.9M 0 0:00:15 0:00:08 0:00:07 74.4M 2025-03-21T20:22:26.5472081Z 61 954M 61 583M 0 0 64.2M 0 0:00:14 0:00:09 0:00:05 74.5M 2025-03-21T20:22:26.5472556Z 69 954M 69 658M 0 0 65.2M 0 0:00:14 0:00:10 0:00:04 74.4M 2025-03-21T20:22:26.5473140Z 76 954M 76 727M 0 0 65.4M 0 0:00:14 0:00:11 0:00:03 73.2M 2025-03-21T20:22:26.5473612Z 82 954M 82 791M 0 0 65.4M 0 0:00:14 0:00:12 0:00:02 70.9M 2025-03-21T20:22:26.5474086Z 89 954M 89 858M 0 0 65.4M 0 0:00:14 0:00:13 0:00:01 69.5M 2025-03-21T20:22:26.5474551Z 96 954M 96 924M 0 0 65.5M 0 0:00:14 0:00:14 --:--:-- 68.0M 2025-03-21T20:22:26.5475054Z 100 954M 100 954M 0 0 65.7M 0 0:00:14 0:00:14 --:--:-- 66.9M 2025-03-21T20:22:26.5475509Z + echo 'Finishing downloading qnn sdk.' 2025-03-21T20:22:26.5475904Z Finishing downloading qnn sdk. 2025-03-21T20:22:26.5476266Z + unzip -qo /tmp/v2.28.0.24.10.29.zip -d /tmp 2025-03-21T20:22:26.5476694Z + echo 'Finishing unzip qnn sdk.' 2025-03-21T20:22:26.5477040Z Finishing unzip qnn sdk. 2025-03-21T20:22:26.5477345Z + ls -lah /tmp/qairt 2025-03-21T20:22:26.5477607Z total 16K 2025-03-21T20:22:26.5477909Z drwxrwxrwx. 3 ci-user ci-user 27 Oct 30 05:44 . 2025-03-21T20:22:26.5478356Z drwxrwxrwt. 1 root root 58 Mar 21 20:22 .. 2025-03-21T20:22:26.5478834Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 05:45 2.28.0.241029 2025-03-21T20:22:26.5479277Z + mv /tmp/qairt/2.28.0.241029 /tmp/qnn 2025-03-21T20:22:26.5479660Z + echo 'Finishing installing qnn '\''/tmp/qnn'\'' .' 2025-03-21T20:22:26.5480079Z Finishing installing qnn '/tmp/qnn' . 2025-03-21T20:22:26.5480429Z + ls -lah /tmp/qnn 2025-03-21T20:22:26.5480694Z total 16K 2025-03-21T20:22:26.5480987Z drwxr-xr-x. 3 ci-user ci-user 27 Mar 21 20:22 . 2025-03-21T20:22:26.5481403Z drwxrwxrwt. 1 root root 58 Mar 21 20:22 .. 2025-03-21T20:22:26.5482119Z drwxrwxrwx. 9 ci-user ci-user 16K Oct 30 05:45 2.28.0.241029 2025-03-21T20:22:26.5482567Z + PYTHON_EXECUTABLE=python 2025-03-21T20:22:26.5482903Z + bash .ci/scripts/build-qnn-sdk.sh 2025-03-21T20:22:26.5483248Z + set -o xtrace 2025-03-21T20:22:26.5483505Z + build_qnn_backend 2025-03-21T20:22:26.5483800Z + echo 'Start building qnn backend.' 2025-03-21T20:22:26.5484274Z Start building qnn backend. 2025-03-21T20:22:26.5484608Z + export ANDROID_NDK_ROOT=/opt/ndk 2025-03-21T20:22:26.5484959Z + ANDROID_NDK_ROOT=/opt/ndk 2025-03-21T20:22:26.5485283Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-03-21T20:22:26.5485667Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-03-21T20:22:26.5486043Z +++ dirname -- .ci/scripts/build-qnn-sdk.sh 2025-03-21T20:22:26.5486420Z ++ cd -- .ci/scripts/../.. 2025-03-21T20:22:26.5486715Z ++ pwd 2025-03-21T20:22:26.5486982Z + export EXECUTORCH_ROOT=/pytorch/executorch 2025-03-21T20:22:26.5487375Z + EXECUTORCH_ROOT=/pytorch/executorch 2025-03-21T20:22:26.5487929Z + bash backends/qualcomm/scripts/build.sh --skip_aarch64 --job_number 2 --release 2025-03-21T20:22:26.5488480Z + [[ -z /tmp/qnn/2.28.0.241029 ]] 2025-03-21T20:22:26.5488819Z + '[' --skip_aarch64 = -h ']' 2025-03-21T20:22:26.5489118Z + BUILD_X86_64=true 2025-03-21T20:22:26.5489396Z + CMAKE_X86_64=build-x86 2025-03-21T20:22:26.5489697Z + BUILD_AARCH64=true 2025-03-21T20:22:26.5489992Z + CMAKE_AARCH64=build-android 2025-03-21T20:22:26.5490308Z + CLEAN=true 2025-03-21T20:22:26.5490553Z + BUILD_TYPE=Debug 2025-03-21T20:22:26.5490826Z + BUILD_JOB_NUMBER=16 2025-03-21T20:22:26.5491125Z + '[' -z PYTHON_EXECUTABLE ']' 2025-03-21T20:22:26.5491446Z + '[' -z BUCK2 ']' 2025-03-21T20:22:26.5491827Z + long_options=skip_x86_64,skip_aarch64,no_clean,release,job_number: 2025-03-21T20:22:26.5492880Z ++ 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 2025-03-21T20:22:26.5493905Z + parsed_args=' --skip_aarch64 --job_number '\''2'\'' --release --' 2025-03-21T20:22:26.5494452Z + eval set -- ' --skip_aarch64 --job_number '\''2'\'' --release --' 2025-03-21T20:22:26.5494954Z ++ set -- --skip_aarch64 --job_number 2 --release -- 2025-03-21T20:22:26.5495340Z + true 2025-03-21T20:22:26.5495570Z + case "$1" in 2025-03-21T20:22:26.5495838Z + BUILD_AARCH64=false 2025-03-21T20:22:26.5496123Z + shift 2025-03-21T20:22:26.5496362Z + true 2025-03-21T20:22:26.5496586Z + case "$1" in 2025-03-21T20:22:26.5496850Z + BUILD_JOB_NUMBER=2 2025-03-21T20:22:26.5497124Z + shift 2 2025-03-21T20:22:26.5497366Z + true 2025-03-21T20:22:26.5497603Z + case "$1" in 2025-03-21T20:22:26.5497854Z + BUILD_TYPE=Release 2025-03-21T20:22:26.5498132Z + shift 2025-03-21T20:22:26.5498367Z + true 2025-03-21T20:22:26.5498607Z + case "$1" in 2025-03-21T20:22:26.5498859Z + shift 2025-03-21T20:22:26.5499074Z + break 2025-03-21T20:22:26.5499353Z +++ dirname backends/qualcomm/scripts/build.sh 2025-03-21T20:22:26.5499760Z ++ cd backends/qualcomm/scripts/../../.. 2025-03-21T20:22:26.5500130Z ++ pwd -P 2025-03-21T20:22:26.5500386Z + PRJ_ROOT=/pytorch/executorch 2025-03-21T20:22:26.5500709Z + '[' false = true ']' 2025-03-21T20:22:26.5500992Z + '[' true = true ']' 2025-03-21T20:22:26.5501305Z + BUILD_ROOT=/pytorch/executorch/build-x86 2025-03-21T20:22:26.5501665Z + '[' true = true ']' 2025-03-21T20:22:26.5501959Z + rm -rf /pytorch/executorch/build-x86 2025-03-21T20:22:26.5502341Z + mkdir /pytorch/executorch/build-x86 2025-03-21T20:22:26.5502709Z + cd /pytorch/executorch/build-x86 2025-03-21T20:22:26.5504704Z + 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 2025-03-21T20:22:26.5506904Z -- The C compiler identification is Clang 12.0.1 2025-03-21T20:22:26.5520249Z -- The CXX compiler identification is Clang 12.0.1 2025-03-21T20:22:26.5520710Z -- Detecting C compiler ABI info 2025-03-21T20:22:26.5521076Z -- Detecting C compiler ABI info - done 2025-03-21T20:22:26.5521518Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-03-21T20:22:26.5521969Z -- Detecting C compile features 2025-03-21T20:22:26.5522470Z -- Detecting C compile features - done 2025-03-21T20:22:26.5522848Z -- Detecting CXX compiler ABI info 2025-03-21T20:22:26.5523224Z -- Detecting CXX compiler ABI info - done 2025-03-21T20:22:26.5523674Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-03-21T20:22:26.5524137Z -- Detecting CXX compile features 2025-03-21T20:22:26.5524505Z -- Detecting CXX compile features - done 2025-03-21T20:22:26.5525516Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:22:26.5526349Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:22:26.5526846Z CMake. 2025-03-21T20:22:26.5526979Z 2025-03-21T20:22:26.5527235Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:22:26.5527876Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:22:26.5528432Z to work with policies introduced by or earlier. 2025-03-21T20:22:26.5528740Z 2025-03-21T20:22:26.5528864Z  2025-03-21T20:22:26.5529551Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:22:26.5530383Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:22:26.5530851Z CMake. 2025-03-21T20:22:26.5530995Z 2025-03-21T20:22:26.5531249Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:22:26.5531880Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:22:26.5532440Z to work with policies introduced by or earlier. 2025-03-21T20:22:26.5532726Z 2025-03-21T20:22:26.5532858Z  2025-03-21T20:22:26.5533116Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-03-21T20:22:26.5533574Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-03-21T20:22:26.5533980Z -- Found Threads: TRUE 2025-03-21T20:22:26.5534764Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:22:26.5535630Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:22:26.5536110Z CMake. 2025-03-21T20:22:26.5536240Z 2025-03-21T20:22:26.5536493Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:22:26.5537127Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:22:26.5537683Z to work with policies introduced by or earlier. 2025-03-21T20:22:26.5537970Z 2025-03-21T20:22:26.5538102Z  2025-03-21T20:22:26.5538375Z -- Using python executable 'python' 2025-03-21T20:22:26.5538718Z -- Resolved buck2 as buck2. 2025-03-21T20:22:26.5539032Z -- Killing buck2 daemon 2025-03-21T20:22:26.5539324Z 'buck2 killall' 2025-03-21T20:22:26.5539617Z -- executorch: Generating source lists 2025-03-21T20:22:26.5540217Z -- executorch: Generating source file list /pytorch/executorch/build-x86/executorch_srcs.cmake 2025-03-21T20:22:26.5540991Z -- executorch: Using sources file /pytorch/executorch/build-x86/executorch_srcs.cmake 2025-03-21T20:22:26.5541555Z -- executorch: Using PAL default 'posix' 2025-03-21T20:22:26.5541930Z -- Generating operator lib: 2025-03-21T20:22:26.5542254Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:22:26.5542718Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:22:26.5543202Z -- ROOT_OPS: 2025-03-21T20:22:26.5543459Z -- INCLUDE_ALL_OPS: 2025-03-21T20:22:26.5544854Z 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" 2025-03-21T20:22:26.5546224Z -- Generating kernel bindings: 2025-03-21T20:22:26.5546564Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:22:26.5547031Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:22:26.5547510Z -- CUSTOM_OPS_YAML: 2025-03-21T20:22:26.5547883Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-03-21T20:22:26.5549793Z 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 2025-03-21T20:22:26.5551439Z -- Generating operator lib: 2025-03-21T20:22:26.5551767Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:22:26.5552104Z -- KERNEL_LIBS: portable_kernels 2025-03-21T20:22:26.5552431Z -- DEPS: executorch 2025-03-21T20:22:26.5553199Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-03-21T20:22:26.5553953Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:22:26.5554442Z CMake. 2025-03-21T20:22:26.5554575Z 2025-03-21T20:22:26.5554847Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:22:26.5555483Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:22:26.5556027Z to work with policies introduced by or earlier. 2025-03-21T20:22:26.5556318Z 2025-03-21T20:22:26.5556438Z  2025-03-21T20:22:26.5556690Z -- Looking for C++ include unistd.h 2025-03-21T20:22:31.0935655Z -- Looking for C++ include unistd.h - found 2025-03-21T20:22:31.0936261Z -- Looking for C++ include stdint.h 2025-03-21T20:22:31.0936651Z -- Looking for C++ include stdint.h - found 2025-03-21T20:22:31.0937117Z -- Looking for C++ include inttypes.h 2025-03-21T20:22:31.0937628Z -- Looking for C++ include inttypes.h - found 2025-03-21T20:22:31.0938207Z -- Looking for C++ include sys/types.h 2025-03-21T20:22:31.0938774Z -- Looking for C++ include sys/types.h - found 2025-03-21T20:22:31.0939343Z -- Looking for C++ include sys/stat.h 2025-03-21T20:22:31.0939952Z -- Looking for C++ include sys/stat.h - found 2025-03-21T20:22:31.0940653Z -- Looking for C++ include fnmatch.h 2025-03-21T20:22:31.0941059Z -- Looking for C++ include fnmatch.h - found 2025-03-21T20:22:31.0941428Z -- Looking for C++ include stddef.h 2025-03-21T20:22:31.0941793Z -- Looking for C++ include stddef.h - found 2025-03-21T20:22:31.0942166Z -- Check size of uint32_t 2025-03-21T20:22:31.0942483Z -- Check size of uint32_t - done 2025-03-21T20:22:31.0942810Z -- Looking for strtoll 2025-03-21T20:22:31.0943099Z -- Looking for strtoll - found 2025-03-21T20:22:31.0943449Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029 2025-03-21T20:22:31.0943871Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch 2025-03-21T20:22:31.0944840Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-03-21T20:22:31.0945609Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:22:31.0946079Z CMake. 2025-03-21T20:22:31.0946228Z 2025-03-21T20:22:31.0946482Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:22:31.0947123Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:22:31.0947678Z to work with policies introduced by or earlier. 2025-03-21T20:22:31.0947967Z 2025-03-21T20:22:31.0948104Z  2025-03-21T20:22:31.0948344Z -- pybind11 v2.13.6 2025-03-21T20:22:31.0948842Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7") 2025-03-21T20:22:31.0949521Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2025-03-21T20:22:31.0949997Z -- Performing Test HAS_FLTO_THIN 2025-03-21T20:22:31.0950368Z -- Performing Test HAS_FLTO_THIN - Success 2025-03-21T20:22:31.0951801Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-03-21T20:22:31.0952532Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:22:31.0953135Z CMake. 2025-03-21T20:22:31.0953281Z 2025-03-21T20:22:31.0953656Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:22:31.0954291Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:22:31.0954847Z to work with policies introduced by or earlier. 2025-03-21T20:22:31.0955240Z 2025-03-21T20:22:31.0955425Z  2025-03-21T20:22:31.0955894Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-03-21T20:22:31.0956454Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-03-21T20:22:31.0956921Z -- Setting Clang compiler options 2025-03-21T20:22:31.0957731Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-03-21T20:22:31.0958686Z CMake Deprecation Warning at CMakeLists.txt:2 (cmake_minimum_required): 2025-03-21T20:22:31.0959330Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:22:31.0959798Z CMake. 2025-03-21T20:22:31.0959942Z 2025-03-21T20:22:31.0960197Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:22:31.0960830Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:22:31.0961380Z to work with policies introduced by or earlier. 2025-03-21T20:22:31.0961667Z 2025-03-21T20:22:31.0961671Z 2025-03-21T20:22:31.0961836Z -- The C compiler identification is Clang 12.0.1 2025-03-21T20:22:31.0962239Z -- Detecting C compiler ABI info 2025-03-21T20:22:31.0962580Z -- Detecting C compiler ABI info - done 2025-03-21T20:22:31.0963022Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-03-21T20:22:31.0963472Z -- Detecting C compile features 2025-03-21T20:22:31.0963821Z -- Detecting C compile features - done 2025-03-21T20:22:31.0964263Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-03-21T20:22:31.0964770Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-03-21T20:22:31.0965218Z -- Setting Clang compiler options 2025-03-21T20:22:31.0966006Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-03-21T20:22:31.0967064Z -- Configuring done (0.3s) 2025-03-21T20:22:31.0967385Z -- Generating done (0.0s) 2025-03-21T20:22:31.0967832Z -- Build files have been written to: /pytorch/executorch/build-x86/_host_build 2025-03-21T20:22:31.0968466Z [ 3%] Building C object src/runtime/CMakeFiles/flatccrt.dir/builder.c.o 2025-03-21T20:22:31.0969066Z [ 6%] Building C object src/runtime/CMakeFiles/flatccrt.dir/emitter.c.o 2025-03-21T20:22:31.0969654Z [ 9%] Building C object src/runtime/CMakeFiles/flatccrt.dir/refmap.c.o 2025-03-21T20:22:31.0970260Z [ 12%] Building C object src/runtime/CMakeFiles/flatccrt.dir/verifier.c.o 2025-03-21T20:22:31.0970926Z [ 15%] Building C object src/runtime/CMakeFiles/flatccrt.dir/json_parser.c.o 2025-03-21T20:22:31.0971568Z [ 18%] Building C object src/runtime/CMakeFiles/flatccrt.dir/json_printer.c.o 2025-03-21T20:22:31.0972268Z [ 21%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatccrt.a 2025-03-21T20:22:31.0972816Z [ 21%] Built target flatccrt 2025-03-21T20:22:31.0973348Z [ 24%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/__/external/hash/str_set.c.o 2025-03-21T20:22:31.0974119Z [ 27%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/__/external/hash/ptr_set.c.o 2025-03-21T20:22:31.0974880Z [ 30%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/symbol_table.c.o 2025-03-21T20:22:31.0975626Z [ 33%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/scope_table.c.o 2025-03-21T20:22:31.0976371Z [ 36%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/name_table.c.o 2025-03-21T20:22:31.0977263Z [ 39%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/schema_table.c.o 2025-03-21T20:22:31.0978002Z [ 42%] Building C object src/compiler/CMakeFiles/flatcc.dir/hash_tables/value_set.c.o 2025-03-21T20:22:31.0978663Z [ 45%] Building C object src/compiler/CMakeFiles/flatcc.dir/fileio.c.o 2025-03-21T20:22:31.0979348Z [ 48%] Building C object src/compiler/CMakeFiles/flatcc.dir/parser.c.o 2025-03-21T20:22:31.0979947Z [ 51%] Building C object src/compiler/CMakeFiles/flatcc.dir/semantics.c.o 2025-03-21T20:22:31.0980530Z [ 54%] Building C object src/compiler/CMakeFiles/flatcc.dir/coerce.c.o 2025-03-21T20:22:31.0981108Z [ 57%] Building C object src/compiler/CMakeFiles/flatcc.dir/flatcc.c.o 2025-03-21T20:22:31.0981700Z [ 60%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c.c.o 2025-03-21T20:22:31.0982344Z [ 63%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_reader.c.o 2025-03-21T20:22:31.0983011Z [ 66%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_sort.c.o 2025-03-21T20:22:31.0983695Z [ 69%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_builder.c.o 2025-03-21T20:22:31.0984387Z [ 72%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_verifier.c.o 2025-03-21T20:22:31.0985079Z [ 75%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_sorter.c.o 2025-03-21T20:22:31.0985780Z [ 78%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_json_parser.c.o 2025-03-21T20:22:31.0986505Z [ 81%] Building C object src/compiler/CMakeFiles/flatcc.dir/codegen_c_json_printer.c.o 2025-03-21T20:22:31.0987226Z [ 84%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/runtime/builder.c.o 2025-03-21T20:22:31.0987922Z [ 87%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/runtime/emitter.c.o 2025-03-21T20:22:31.0988611Z [ 90%] Building C object src/compiler/CMakeFiles/flatcc.dir/__/runtime/refmap.c.o 2025-03-21T20:22:31.0989325Z [ 93%] Linking C static library /pytorch/executorch/third-party/flatcc/lib/libflatcc.a 2025-03-21T20:22:31.0989873Z [ 93%] Built target flatcc 2025-03-21T20:22:31.0990298Z [ 96%] Building C object src/cli/CMakeFiles/flatcc_cli.dir/flatcc_cli.c.o 2025-03-21T20:22:31.0990947Z [100%] Linking C executable /pytorch/executorch/third-party/flatcc/bin/flatcc 2025-03-21T20:22:31.0991470Z [100%] Built target flatcc_cli 2025-03-21T20:22:31.0991812Z -- Generating operator lib: 2025-03-21T20:22:31.0992150Z -- LIB_NAME: quantized_ops_lib 2025-03-21T20:22:31.0992616Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-03-21T20:22:31.0993222Z -- ROOT_OPS: 2025-03-21T20:22:31.0993493Z -- INCLUDE_ALL_OPS: 2025-03-21T20:22:31.0994972Z 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" 2025-03-21T20:22:31.0996270Z -- Generating kernel bindings: 2025-03-21T20:22:31.0996609Z -- LIB_NAME: quantized_ops_lib 2025-03-21T20:22:31.0996924Z -- FUNCTIONS_YAML: 2025-03-21T20:22:31.0997354Z -- CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-03-21T20:22:31.0997891Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-03-21T20:22:31.1001439Z 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 2025-03-21T20:22:31.1004509Z -- Generating operator lib: 2025-03-21T20:22:31.1004836Z -- LIB_NAME: quantized_ops_lib 2025-03-21T20:22:31.1005266Z -- KERNEL_LIBS: quantized_kernels 2025-03-21T20:22:31.1005606Z -- DEPS: executorch 2025-03-21T20:22:31.1005863Z -- 2025-03-21T20:22:31.1006104Z -- ******** Summary ******** 2025-03-21T20:22:31.1006436Z -- CMAKE_BUILD_TYPE : Release 2025-03-21T20:22:31.1006810Z -- CMAKE_CXX_STANDARD : 17 2025-03-21T20:22:31.1007246Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-03-21T20:22:31.1007613Z -- CMAKE_TOOLCHAIN_FILE : 2025-03-21T20:22:31.1007968Z -- BUCK2 : buck2 2025-03-21T20:22:31.1008338Z -- PYTHON_EXECUTABLE : python 2025-03-21T20:22:31.1008901Z -- FLATC_EXECUTABLE : /pytorch/executorch/build-x86/third-party/flatbuffers/flatc 2025-03-21T20:22:31.1009483Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2025-03-21T20:22:31.1009899Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-03-21T20:22:31.1010324Z -- EXECUTORCH_LOG_LEVEL : Info 2025-03-21T20:22:31.1010743Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2025-03-21T20:22:31.1011159Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-03-21T20:22:31.1011573Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-03-21T20:22:31.1011969Z -- EXECUTORCH_BUILD_COREML : OFF 2025-03-21T20:22:31.1012378Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-03-21T20:22:31.1012790Z -- EXECUTORCH_BUILD_DEVTOOLS : ON 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2025-03-21T20:22:34.7643842Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : ON 2025-03-21T20:22:34.7644254Z -- EXECUTORCH_BUILD_MPS : OFF 2025-03-21T20:22:34.7644653Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-03-21T20:22:34.7645069Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-03-21T20:22:34.7645483Z -- EXECUTORCH_BUILD_PYBIND : OFF 2025-03-21T20:22:34.7645890Z -- EXECUTORCH_BUILD_QNN : ON 2025-03-21T20:22:34.7646302Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-03-21T20:22:34.7646699Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-03-21T20:22:34.7647106Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-03-21T20:22:34.7647515Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2025-03-21T20:22:34.7647902Z -- Configuring done (11.8s) 2025-03-21T20:22:34.7648229Z -- Generating done (0.2s) 2025-03-21T20:22:34.7648649Z -- Build files have been written to: /pytorch/executorch/build-x86 2025-03-21T20:22:34.7649237Z + cmake --build /pytorch/executorch/build-x86 -j2 --target install 2025-03-21T20:22:34.7650013Z [ 0%] Creating directories for 'flatbuffers' 2025-03-21T20:22:34.7650836Z [ 0%] Building CXX object third-party/gflags/CMakeFiles/gflags_nothreads_static.dir/src/gflags.cc.o 2025-03-21T20:22:34.7651606Z [ 0%] No download step for 'flatbuffers' 2025-03-21T20:22:34.7652100Z [ 1%] No update step for 'flatbuffers' 2025-03-21T20:22:34.7652563Z [ 1%] No patch step for 'flatbuffers' 2025-03-21T20:22:34.7653357Z [ 1%] Performing configure step for 'flatbuffers' 2025-03-21T20:22:34.7653820Z CMake Warning: 2025-03-21T20:22:34.7654186Z Ignoring empty string ("") provided on the command line. 2025-03-21T20:22:34.7654497Z 2025-03-21T20:22:34.7654628Z  2025-03-21T20:22:34.7654907Z fatal: No names found, cannot describe anything. 2025-03-21T20:22:34.7655547Z CMake Warning at CMake/Version.cmake:32 (message): 2025-03-21T20:22:34.7655982Z git describe failed with exit code: 128 2025-03-21T20:22:34.7656230Z 2025-03-21T20:22:34.7656434Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-03-21T20:22:34.7656877Z Call Stack 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2025-03-21T20:22:34.7663455Z [ 2%] Linking CXX static library libgflags_nothreads.a 2025-03-21T20:22:34.7663928Z [ 2%] Built target gflags_nothreads_static 2025-03-21T20:22:34.7664379Z [ 2%] Generating etdump headers 2025-03-21T20:22:34.7664759Z [ 2%] Built target etdump_schema 2025-03-21T20:22:34.7665443Z [ 2%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/builder.c.o 2025-03-21T20:22:34.7666152Z -- Looking for strtof_l - found 2025-03-21T20:22:34.7666492Z -- Looking for strtoull_l 2025-03-21T20:22:34.7667522Z [ 2%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/emitter.c.o 2025-03-21T20:22:34.7668548Z [ 3%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/refmap.c.o 2025-03-21T20:22:34.7669231Z -- Looking for strtoull_l - found 2025-03-21T20:22:34.7669559Z -- Looking for realpath 2025-03-21T20:22:34.7670225Z [ 3%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/verifier.c.o 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2025-03-21T20:23:36.2028861Z -- Installing: /pytorch/executorch/build-x86/include/executorch/kernels/quantized/NativeFunctions.h 2025-03-21T20:23:36.2029590Z + rm -f '/pytorch/executorch/backends/qualcomm/python/*' 2025-03-21T20:23:36.2031114Z + 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 2025-03-21T20:23:36.2033695Z '/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' 2025-03-21T20:23:36.2035772Z '/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' 2025-03-21T20:23:36.2037240Z + cp -fv /pytorch/executorch/schema/program.fbs /pytorch/executorch/exir/_serialize/program.fbs 2025-03-21T20:23:36.2038099Z '/pytorch/executorch/schema/program.fbs' -> '/pytorch/executorch/exir/_serialize/program.fbs' 2025-03-21T20:23:36.2038981Z + cp -fv /pytorch/executorch/schema/scalar_type.fbs /pytorch/executorch/exir/_serialize/scalar_type.fbs 2025-03-21T20:23:36.2039881Z '/pytorch/executorch/schema/scalar_type.fbs' -> '/pytorch/executorch/exir/_serialize/scalar_type.fbs' 2025-03-21T20:23:36.2040537Z + EXAMPLE_ROOT=examples/qualcomm 2025-03-21T20:23:36.2041273Z + CMAKE_PREFIX_PATH='/pytorch/executorch/build-x86/lib/cmake/ExecuTorch;/pytorch/executorch/build-x86/third-party/gflags;' 2025-03-21T20:23:36.2042049Z + echo 'Update tokenizers submodule...' 2025-03-21T20:23:36.2042429Z Update tokenizers submodule... 2025-03-21T20:23:36.2042818Z + pushd /pytorch/executorch/extension/llm/tokenizers 2025-03-21T20:23:36.2043399Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch/build-x86 2025-03-21T20:23:36.2044081Z + git submodule update --init 2025-03-21T20:23:36.2044821Z Submodule 'third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'third-party/abseil-cpp' 2025-03-21T20:23:36.2045875Z Submodule 'third-party/json' (https://github.com/nlohmann/json.git) registered for path 'third-party/json' 2025-03-21T20:23:36.2046809Z Submodule 'third-party/re2' (https://github.com/google/re2.git) registered for path 'third-party/re2' 2025-03-21T20:23:36.2047889Z Submodule 'third-party/sentencepiece' (https://github.com/google/sentencepiece.git) registered for path 'third-party/sentencepiece' 2025-03-21T20:23:36.2049225Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp'... 2025-03-21T20:23:36.2050019Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/json'... 2025-03-21T20:23:36.2050752Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/re2'... 2025-03-21T20:23:36.2051789Z Cloning into '/pytorch/executorch/extension/llm/tokenizers/third-party/sentencepiece'... 2025-03-21T20:23:36.2052847Z Submodule path 'third-party/abseil-cpp': checked out '7d96b2e93d9a84530748b68abd2f97595c51ecf4' 2025-03-21T20:23:36.2053764Z Submodule path 'third-party/json': checked out 'e6cafa573aac6ed9227f752a5371c0b3f436307d' 2025-03-21T20:23:36.2054531Z Submodule path 'third-party/re2': checked out '6dcd83d60f7944926bfd308cc13979fc53dd69ca' 2025-03-21T20:23:36.2055408Z Submodule path 'third-party/sentencepiece': checked out 'd8f741853847553169444afc12c00f4bbff3e9ce' 2025-03-21T20:23:36.2056009Z + popd 2025-03-21T20:23:36.2056277Z /pytorch/executorch/build-x86 2025-03-21T20:23:36.2057782Z + 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 2025-03-21T20:23:36.2059356Z -- The C compiler identification is Clang 12.0.1 2025-03-21T20:23:36.2059804Z -- The CXX compiler identification is Clang 12.0.1 2025-03-21T20:23:36.2060226Z -- Detecting C compiler ABI info 2025-03-21T20:23:36.2060592Z -- Detecting C compiler ABI info - done 2025-03-21T20:23:36.2061048Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-03-21T20:23:36.2061487Z -- Detecting C compile features 2025-03-21T20:23:36.2061848Z -- Detecting C compile features - done 2025-03-21T20:23:36.2062229Z -- Detecting CXX compiler ABI info 2025-03-21T20:23:36.2062610Z -- Detecting CXX compiler ABI info - done 2025-03-21T20:23:36.2063083Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-03-21T20:23:36.2063526Z -- Detecting CXX compile features 2025-03-21T20:23:36.2063899Z -- Detecting CXX compile features - done 2025-03-21T20:23:36.2064617Z CMake Warning (dev) at CMakeLists.txt:31 (find_package): 2025-03-21T20:23:36.2065214Z Policy CMP0144 is not set: find_package uses upper-case _ROOT 2025-03-21T20:23:36.2065864Z variables. Run "cmake --help-policy CMP0144" for policy details. Use the 2025-03-21T20:23:36.2066472Z cmake_policy command to set the policy and suppress this warning. 2025-03-21T20:23:36.2067081Z 2025-03-21T20:23:36.2067222Z CMake variable EXECUTORCH_ROOT is set to: 2025-03-21T20:23:36.2067494Z 2025-03-21T20:23:36.2067643Z /pytorch/executorch/examples/qualcomm/../.. 2025-03-21T20:23:36.2067925Z 2025-03-21T20:23:36.2068086Z Environment variable EXECUTORCH_ROOT is set to: 2025-03-21T20:23:36.2068365Z 2025-03-21T20:23:36.2068499Z /pytorch/executorch 2025-03-21T20:23:36.2068679Z 2025-03-21T20:23:36.2068954Z For compatibility, find_package is ignoring the variable, but code in a 2025-03-21T20:23:36.2069469Z .cmake module might still use it. 2025-03-21T20:23:36.2069927Z This warning is for project developers. Use -Wno-dev to suppress it. 2025-03-21T20:23:36.2070429Z  2025-03-21T20:23:36.2070748Z coremldelegate library is not found. 2025-03-21T20:23:36.2071306Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2071951Z mpsdelegate library is not found. 2025-03-21T20:23:36.2072561Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2073177Z neuron_backend library is not found. 2025-03-21T20:23:36.2073727Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2074247Z custom_ops library is not found. 2025-03-21T20:23:36.2074786Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2075334Z extension_runner_util library is not found. 2025-03-21T20:23:36.2075910Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2076457Z extension_training library is not found. 2025-03-21T20:23:36.2077016Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2077554Z xnnpack_backend library is not found. 2025-03-21T20:23:36.2078107Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2078780Z XNNPACK library is not found. 2025-03-21T20:23:36.2079308Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2079857Z microkernels-prod library is not found. 2025-03-21T20:23:36.2080414Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2080932Z kleidiai library is not found. 2025-03-21T20:23:36.2081526Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:36.2082062Z vulkan_backend library is not found. 2025-03-21T20:23:40.0441179Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:40.0442325Z optimized_kernels library is not found. 2025-03-21T20:23:40.0443355Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:40.0444340Z cpublas library is not found. 2025-03-21T20:23:40.0445312Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:40.0446315Z eigen_blas library is not found. 2025-03-21T20:23:40.0447307Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:40.0448311Z optimized_ops_lib library is not found. 2025-03-21T20:23:40.0449321Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:40.0450432Z optimized_native_cpu_ops_lib library is not found. 2025-03-21T20:23:40.0451576Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:40.0452621Z quantized_ops_aot_lib library is not found. 2025-03-21T20:23:40.0453682Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:23:40.0455190Z -- executorch: Using source file list /pytorch/executorch/build-x86/examples/qualcomm/../../executorch_srcs.cmake 2025-03-21T20:23:40.0456519Z -- Generating operator lib: 2025-03-21T20:23:40.0457102Z -- LIB_NAME: full_portable_ops_lib 2025-03-21T20:23:40.0457704Z -- OPS_SCHEMA_YAML: 2025-03-21T20:23:40.0458212Z -- ROOT_OPS: 2025-03-21T20:23:40.0458670Z -- INCLUDE_ALL_OPS: ON 2025-03-21T20:23:40.0460893Z 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 2025-03-21T20:23:40.0462919Z -- Generating kernel bindings: 2025-03-21T20:23:40.0463543Z -- LIB_NAME: full_portable_ops_lib 2025-03-21T20:23:40.0464558Z -- FUNCTIONS_YAML: /pytorch/executorch/examples/qualcomm/../../kernels/portable/functions.yaml 2025-03-21T20:23:40.0465701Z -- CUSTOM_OPS_YAML: 2025-03-21T20:23:40.0466220Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-03-21T20:23:40.0467114Z -- Generating operator lib: 2025-03-21T20:23:40.0467699Z -- LIB_NAME: full_portable_ops_lib 2025-03-21T20:23:40.0468346Z -- KERNEL_LIBS: portable_kernels 2025-03-21T20:23:40.0468950Z -- DEPS: executorch 2025-03-21T20:23:40.0469509Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 2025-03-21T20:23:40.0470298Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success 2025-03-21T20:23:40.0471139Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 2025-03-21T20:23:40.0471944Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed 2025-03-21T20:23:40.0472865Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-03-21T20:23:40.0473593Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-03-21T20:23:40.0474306Z -- Found Threads: TRUE 2025-03-21T20:23:40.0475918Z CMake Warning at /pytorch/executorch/extension/llm/tokenizers/third-party/abseil-cpp/CMakeLists.txt:177 (message): 2025-03-21T20:23:40.0478618Z The default and system-level install directories are unsupported except in LTS releases of Abseil. 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2025-03-21T20:23:42.0193706Z [ 16%] Building CXX object executor_runner/CMakeFiles/qnn_executor_runner.dir/pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp.o 2025-03-21T20:23:42.0195683Z [ 16%] Built target decode_rust_punycode 2025-03-21T20:23:42.0197059Z [ 16%] Building CXX object abseil-cpp/absl/types/CMakeFiles/bad_variant_access.dir/bad_variant_access.cc.o 2025-03-21T20:23:42.0198527Z [ 16%] Linking CXX static library libabsl_bad_variant_access.a 2025-03-21T20:23:42.0199528Z [ 16%] Built target bad_variant_access 2025-03-21T20:23:42.0200926Z [ 16%] Building CXX object abseil-cpp/absl/types/CMakeFiles/bad_optional_access.dir/bad_optional_access.cc.o 2025-03-21T20:23:42.0202607Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9: 2025-03-21T20:23:42.0204398Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14: 2025-03-21T20:23:42.0207420Z /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] 2025-03-21T20:23:42.0209849Z const NamedDataMap* named_data_map = nullptr) 2025-03-21T20:23:42.0210530Z ^ 2025-03-21T20:23:42.0212034Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here 2025-03-21T20:23:42.0213764Z class ET_EXPERIMENTAL NamedDataMap { 2025-03-21T20:23:42.0214352Z ^ 2025-03-21T20:23:42.0215535Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL' 2025-03-21T20:23:42.0217180Z [[deprecated("This API is experimental and may change without notice.")]] 2025-03-21T20:23:42.0218024Z ^ 2025-03-21T20:23:42.0218882Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9: 2025-03-21T20:23:42.0220561Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14: 2025-03-21T20:23:42.0223160Z /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] 2025-03-21T20:23:42.0225350Z const NamedDataMap* get_named_data_map() const { 2025-03-21T20:23:42.0226053Z ^ 2025-03-21T20:23:42.0227427Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here 2025-03-21T20:23:42.0229037Z class ET_EXPERIMENTAL NamedDataMap { 2025-03-21T20:23:42.0229627Z ^ 2025-03-21T20:23:42.0230926Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL' 2025-03-21T20:23:42.0232657Z [[deprecated("This API is experimental and may change without notice.")]] 2025-03-21T20:23:42.0233546Z ^ 2025-03-21T20:23:42.0234456Z In file included from /pytorch/executorch/runtime/executor/test/test_backend_compiler_lib.cpp:9: 2025-03-21T20:23:42.0236127Z In file included from /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/backend/interface.h:14: 2025-03-21T20:23:42.0239031Z /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] 2025-03-21T20:23:42.0241379Z const NamedDataMap* named_data_map_ = nullptr; 2025-03-21T20:23:42.0242054Z ^ 2025-03-21T20:23:42.0243520Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/core/named_data_map.h:31:7: note: 'NamedDataMap' has been explicitly marked deprecated here 2025-03-21T20:23:42.0245182Z class ET_EXPERIMENTAL NamedDataMap { 2025-03-21T20:23:42.0245791Z ^ 2025-03-21T20:23:42.0247112Z /pytorch/executorch/examples/qualcomm/../../../executorch/runtime/platform/compiler.h:80:5: note: expanded from macro 'ET_EXPERIMENTAL' 2025-03-21T20:23:42.0249041Z [[deprecated("This API is experimental and may change without notice.")]] 2025-03-21T20:23:42.0249933Z ^ 2025-03-21T20:23:42.0250354Z 3 warnings generated. 2025-03-21T20:23:42.0251222Z [ 16%] Linking CXX executable qnn_executor_runner 2025-03-21T20:23:42.0252522Z [ 17%] Linking CXX static library libabsl_bad_optional_access.a 2025-03-21T20:23:42.0253415Z [ 17%] Built target 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qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/llama2c_tokenizer.cpp.o 2025-03-21T20:24:01.5104463Z [ 99%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/tiktoken.cpp.o 2025-03-21T20:24:01.5105988Z [ 99%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr.cpp.o 2025-03-21T20:24:01.5107492Z [100%] Building CXX object qaihub_scripts/llama/CMakeFiles/qaihub_llama3_8b_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o 2025-03-21T20:24:01.5108781Z [100%] Linking CXX executable qaihub_llama3_8b_runner 2025-03-21T20:24:01.5109248Z [100%] Built target qaihub_llama3_8b_runner 2025-03-21T20:24:01.5109597Z + set_up_aot 2025-03-21T20:24:01.5109912Z + cd /pytorch/executorch 2025-03-21T20:24:01.5110231Z + '[' '!' -d cmake-out ']' 2025-03-21T20:24:01.5110752Z + mkdir cmake-out 2025-03-21T20:24:01.5111066Z + pushd cmake-out 2025-03-21T20:24:01.5111404Z /pytorch/executorch/cmake-out /pytorch/executorch 2025-03-21T20:24:01.5113308Z + 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 2025-03-21T20:24:01.5115058Z -- The C compiler identification is Clang 12.0.1 2025-03-21T20:24:01.5115515Z -- The CXX compiler identification is Clang 12.0.1 2025-03-21T20:24:01.5115938Z -- Detecting C compiler ABI info 2025-03-21T20:24:01.5116302Z -- Detecting C compiler ABI info - done 2025-03-21T20:24:01.5116745Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-03-21T20:24:01.5117311Z -- Detecting C compile features 2025-03-21T20:24:01.5117674Z -- Detecting C compile features - done 2025-03-21T20:24:01.5118051Z -- Detecting CXX compiler ABI info 2025-03-21T20:24:01.5118422Z -- Detecting CXX compiler ABI info - done 2025-03-21T20:24:01.5118873Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-03-21T20:24:01.5119328Z -- Detecting CXX compile features 2025-03-21T20:24:01.5119688Z -- Detecting CXX compile features - done 2025-03-21T20:24:01.5120523Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:24:01.5121359Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:24:01.5121854Z CMake. 2025-03-21T20:24:01.5121988Z 2025-03-21T20:24:01.5122245Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:24:01.5122878Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:24:01.5123426Z to work with policies introduced by or earlier. 2025-03-21T20:24:01.5123715Z 2025-03-21T20:24:01.5123850Z  2025-03-21T20:24:01.5124545Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:24:01.5125381Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:24:01.5125852Z CMake. 2025-03-21T20:24:01.5125994Z 2025-03-21T20:24:01.5126247Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:24:01.5126884Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:24:01.5127526Z to work with policies introduced by or earlier. 2025-03-21T20:24:01.5127820Z 2025-03-21T20:24:01.5127955Z  2025-03-21T20:24:01.5128215Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-03-21T20:24:01.5128654Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-03-21T20:24:01.5129058Z -- Found Threads: TRUE 2025-03-21T20:24:01.5129834Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:24:01.5130697Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:24:01.5131184Z CMake. 2025-03-21T20:24:01.5131318Z 2025-03-21T20:24:01.5131569Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:24:01.5132204Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:24:01.5132763Z to work with policies introduced by or earlier. 2025-03-21T20:24:01.5133058Z 2025-03-21T20:24:01.5133188Z  2025-03-21T20:24:01.5133450Z -- Using python executable 'python3' 2025-03-21T20:24:01.5133920Z -- Resolved buck2 as buck2. 2025-03-21T20:24:01.5134238Z -- Killing buck2 daemon 2025-03-21T20:24:01.5134531Z 'buck2 killall' 2025-03-21T20:24:01.5134826Z -- executorch: Generating source lists 2025-03-21T20:24:01.5135424Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-03-21T20:24:01.5136256Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-03-21T20:24:01.5136832Z -- executorch: Using PAL default 'posix' 2025-03-21T20:24:01.5137209Z -- Generating operator lib: 2025-03-21T20:24:01.5137538Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:24:01.5138011Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:24:01.5138484Z -- ROOT_OPS: 2025-03-21T20:24:01.5138759Z -- INCLUDE_ALL_OPS: 2025-03-21T20:24:01.5140187Z 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" 2025-03-21T20:24:01.5141461Z -- Generating kernel bindings: 2025-03-21T20:24:01.5141788Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:24:01.5142258Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:24:01.5142757Z -- CUSTOM_OPS_YAML: 2025-03-21T20:24:01.5143073Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-03-21T20:24:01.5144993Z 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 2025-03-21T20:24:01.5146659Z -- Generating operator lib: 2025-03-21T20:24:01.5146980Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:24:01.5147323Z -- KERNEL_LIBS: portable_kernels 2025-03-21T20:24:01.5147672Z -- DEPS: executorch 2025-03-21T20:24:01.5148319Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-03-21T20:24:01.5149073Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:24:01.5149548Z CMake. 2025-03-21T20:24:01.5149699Z 2025-03-21T20:24:01.5149953Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:24:01.5150596Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:24:01.5151153Z to work with policies introduced by or earlier. 2025-03-21T20:24:01.5151440Z 2025-03-21T20:24:01.5151576Z  2025-03-21T20:24:01.5151823Z -- Looking for C++ include unistd.h 2025-03-21T20:24:01.5152199Z -- Looking for C++ include unistd.h - found 2025-03-21T20:24:01.5152587Z -- Looking for C++ include stdint.h 2025-03-21T20:24:01.5153068Z -- Looking for C++ include stdint.h - found 2025-03-21T20:24:01.5153451Z -- Looking for C++ include inttypes.h 2025-03-21T20:24:01.5153835Z -- Looking for C++ include inttypes.h - found 2025-03-21T20:24:01.5154219Z -- Looking for C++ include sys/types.h 2025-03-21T20:24:01.5154607Z -- Looking for C++ include sys/types.h - found 2025-03-21T20:24:01.5155004Z -- Looking for C++ include sys/stat.h 2025-03-21T20:24:01.5155378Z -- Looking for C++ include sys/stat.h - found 2025-03-21T20:24:01.5155762Z -- Looking for C++ include fnmatch.h 2025-03-21T20:24:01.5156137Z -- Looking for C++ include fnmatch.h - found 2025-03-21T20:24:01.5156520Z -- Looking for C++ include stddef.h 2025-03-21T20:24:01.5156887Z -- Looking for C++ include stddef.h - found 2025-03-21T20:24:01.5157257Z -- Check size of uint32_t 2025-03-21T20:24:01.5157573Z -- Check size of uint32_t - done 2025-03-21T20:24:01.5157889Z -- Looking for strtoll 2025-03-21T20:24:01.5158191Z -- Looking for strtoll - found 2025-03-21T20:24:01.5158543Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029 2025-03-21T20:24:01.5158967Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch 2025-03-21T20:24:01.5159736Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-03-21T20:24:01.5160575Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:24:01.5161060Z CMake. 2025-03-21T20:24:01.5161206Z 2025-03-21T20:24:01.5161459Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:24:01.5162155Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:24:01.5162712Z to work with policies introduced by or earlier. 2025-03-21T20:24:01.5163002Z 2025-03-21T20:24:01.5163135Z  2025-03-21T20:24:01.5163361Z -- pybind11 v2.13.6 2025-03-21T20:24:01.5163875Z -- Found PythonInterp: python3 (found suitable version "3.10.16", minimum required is "3.7") 2025-03-21T20:24:01.5164561Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2025-03-21T20:24:01.5165045Z -- Performing Test HAS_FLTO_THIN 2025-03-21T20:24:01.5165409Z -- Performing Test HAS_FLTO_THIN - Success 2025-03-21T20:24:01.5166105Z CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required): 2025-03-21T20:24:01.5167118Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:24:01.5167611Z CMake. 2025-03-21T20:24:01.5167743Z 2025-03-21T20:24:01.5168014Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:24:01.5168649Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:24:01.5169187Z to work with policies introduced by or earlier. 2025-03-21T20:24:01.5169485Z 2025-03-21T20:24:01.5169611Z  2025-03-21T20:24:01.5169933Z -- dist install dir /pytorch/executorch/third-party/flatcc 2025-03-21T20:24:01.5170450Z -- lib install dir /pytorch/executorch/third-party/flatcc/lib 2025-03-21T20:24:01.5170901Z -- Setting Clang compiler options 2025-03-21T20:24:01.5171694Z -- Configured C_FLAGS: -DFLATCC_REFLECTION=0 -Wstrict-prototypes -Wsign-conversion -Wconversion -std=c11 -pedantic -Wall -Wextra -Werror 2025-03-21T20:24:01.5172468Z -- 2025-03-21T20:24:01.5172713Z -- ******** Summary ******** 2025-03-21T20:24:01.5173041Z -- CMAKE_BUILD_TYPE : Debug 2025-03-21T20:24:01.5173410Z -- CMAKE_CXX_STANDARD : 17 2025-03-21T20:24:01.5173777Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-03-21T20:24:01.5174134Z -- CMAKE_TOOLCHAIN_FILE : 2025-03-21T20:24:01.5174491Z -- BUCK2 : buck2 2025-03-21T20:24:05.0240387Z -- PYTHON_EXECUTABLE : python3 2025-03-21T20:24:05.0241440Z -- FLATC_EXECUTABLE : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc 2025-03-21T20:24:05.0242484Z -- EXECUTORCH_ENABLE_LOGGING : ON 2025-03-21T20:24:05.0243257Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : ON 2025-03-21T20:24:05.0244111Z -- EXECUTORCH_LOG_LEVEL : Info 2025-03-21T20:24:05.0244809Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2025-03-21T20:24:05.0245568Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-03-21T20:24:05.0246579Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-03-21T20:24:05.0247296Z -- EXECUTORCH_BUILD_COREML : OFF 2025-03-21T20:24:05.0248030Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-03-21T20:24:05.0248736Z -- EXECUTORCH_BUILD_DEVTOOLS : ON 2025-03-21T20:24:05.0249473Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2025-03-21T20:24:05.0250216Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON 2025-03-21T20:24:05.0250878Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : ON 2025-03-21T20:24:05.0251557Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-03-21T20:24:05.0252155Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : ON 2025-03-21T20:24:05.0252580Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2025-03-21T20:24:05.0253017Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : ON 2025-03-21T20:24:05.0253452Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-03-21T20:24:05.0253883Z -- EXECUTORCH_BUILD_FLATC : ON 2025-03-21T20:24:05.0254531Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-03-21T20:24:05.0254937Z -- EXECUTORCH_BUILD_HOST_TARGETS : ON 2025-03-21T20:24:05.0255365Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2025-03-21T20:24:05.0255804Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : OFF 2025-03-21T20:24:05.0256253Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2025-03-21T20:24:05.0256799Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : OFF 2025-03-21T20:24:05.0257215Z -- EXECUTORCH_BUILD_MPS : OFF 2025-03-21T20:24:05.0257642Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-03-21T20:24:05.0258073Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-03-21T20:24:05.0258505Z -- EXECUTORCH_BUILD_PYBIND : OFF 2025-03-21T20:24:05.0258922Z -- EXECUTORCH_BUILD_QNN : ON 2025-03-21T20:24:05.0259345Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-03-21T20:24:05.0259752Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-03-21T20:24:05.0260185Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-03-21T20:24:05.0260605Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2025-03-21T20:24:05.0261007Z -- Configuring done (5.3s) 2025-03-21T20:24:05.0261338Z -- Generating done (0.2s) 2025-03-21T20:24:05.0261764Z -- Build files have been written to: /pytorch/executorch/cmake-out 2025-03-21T20:24:05.0262242Z ++ nproc 2025-03-21T20:24:05.0262786Z + cmake --build /pytorch/executorch/cmake-out --target PyQnnManagerAdaptor PyQnnWrapperAdaptor -j8 2025-03-21T20:24:05.0263733Z [ 0%] Creating directories for 'flatbuffers' 2025-03-21T20:24:05.0264268Z [ 0%] No download step for 'flatbuffers' 2025-03-21T20:24:05.0264760Z [ 0%] No update step for 'flatbuffers' 2025-03-21T20:24:05.0265254Z [ 0%] No patch step for 'flatbuffers' 2025-03-21T20:24:05.0265799Z [ 0%] Performing configure step for 'flatbuffers' 2025-03-21T20:24:05.0266270Z CMake Warning: 2025-03-21T20:24:05.0266937Z Ignoring empty string ("") provided on the command line. 2025-03-21T20:24:05.0267264Z 2025-03-21T20:24:05.0267393Z  2025-03-21T20:24:05.0267694Z fatal: No names found, cannot describe anything. 2025-03-21T20:24:05.0268237Z CMake Warning at CMake/Version.cmake:32 (message): 2025-03-21T20:24:05.0268684Z git describe failed with exit code: 128 2025-03-21T20:24:05.0268942Z 2025-03-21T20:24:05.0269148Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-03-21T20:24:05.0269605Z Call Stack (most recent call first): 2025-03-21T20:24:05.0269961Z CMakeLists.txt:5 (include) 2025-03-21T20:24:05.0270183Z 2025-03-21T20:24:05.0270304Z  2025-03-21T20:24:05.0270693Z -- Proceeding with version: 24.3.25.0 2025-03-21T20:24:05.0271230Z -- The CXX compiler identification is Clang 12.0.1 2025-03-21T20:24:05.0271917Z -- Detecting CXX compiler ABI info 2025-03-21T20:24:05.0272429Z -- Detecting CXX compiler ABI info - done 2025-03-21T20:24:05.0273099Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-03-21T20:24:05.0273578Z -- Detecting CXX compile features 2025-03-21T20:24:05.0273954Z -- Detecting CXX compile features - done 2025-03-21T20:24:05.0274336Z -- Looking for strtof_l 2025-03-21T20:24:05.0274669Z -- Looking for strtof_l - found 2025-03-21T20:24:05.0275033Z -- Looking for strtoull_l 2025-03-21T20:24:05.0275380Z -- Looking for strtoull_l - found 2025-03-21T20:24:05.0275794Z -- Looking for realpath 2025-03-21T20:24:05.0276112Z -- Looking for realpath - found 2025-03-21T20:24:05.0276586Z -- CMAKE_CXX_FLAGS: "-DFLATBUFFERS_MAX_ALIGNMENT=1024" 2025-03-21T20:24:05.0277091Z -- Configuring done (0.9s) 2025-03-21T20:24:05.0277421Z -- Generating done (0.0s) 2025-03-21T20:24:05.0278039Z -- Build files have been written to: /pytorch/executorch/cmake-out/third-party/flatbuffers 2025-03-21T20:24:05.0278870Z [ 0%] Performing build step for 'flatbuffers' 2025-03-21T20:24:05.0279889Z [ 2%] Building CXX object CMakeFiles/flatc.dir/src/idl_parser.cpp.o 2025-03-21T20:24:05.0280994Z [ 5%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_text.cpp.o 2025-03-21T20:24:05.0281832Z [ 10%] Building CXX object CMakeFiles/flatc.dir/src/reflection.cpp.o 2025-03-21T20:24:05.0282622Z [ 10%] Building CXX object CMakeFiles/flatc.dir/src/util.cpp.o 2025-03-21T20:24:05.0283522Z [ 13%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_binary.cpp.o 2025-03-21T20:24:05.0284382Z [ 18%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_csharp.cpp.o 2025-03-21T20:24:05.0285199Z [ 18%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_cpp.cpp.o 2025-03-21T20:24:05.0286017Z [ 21%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_dart.cpp.o 2025-03-21T20:24:05.0287027Z [ 23%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_kotlin.cpp.o 2025-03-21T20:24:05.0288627Z [ 26%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_kotlin_kmp.cpp.o 2025-03-21T20:24:05.0289505Z [ 28%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_go.cpp.o 2025-03-21T20:24:05.0290366Z [ 31%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_java.cpp.o 2025-03-21T20:24:05.0291093Z [ 34%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_ts.cpp.o 2025-03-21T20:24:05.0291824Z [ 36%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_php.cpp.o 2025-03-21T20:24:05.0292583Z [ 39%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_python.cpp.o 2025-03-21T20:24:05.0293355Z [ 42%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_lobster.cpp.o 2025-03-21T20:24:05.0294113Z [ 44%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_rust.cpp.o 2025-03-21T20:24:05.0294851Z [ 47%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_fbs.cpp.o 2025-03-21T20:24:05.0295574Z [ 50%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_grpc.cpp.o 2025-03-21T20:24:05.0296629Z [ 52%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_json_schema.cpp.o 2025-03-21T20:24:05.0298194Z [ 55%] Building CXX object CMakeFiles/flatc.dir/src/idl_gen_swift.cpp.o 2025-03-21T20:24:05.0299885Z [ 57%] Building CXX object CMakeFiles/flatc.dir/src/file_name_saving_file_manager.cpp.o 2025-03-21T20:24:05.0301506Z [ 60%] Building CXX object CMakeFiles/flatc.dir/src/file_binary_writer.cpp.o 2025-03-21T20:24:05.0302985Z [ 63%] Building CXX object CMakeFiles/flatc.dir/src/file_writer.cpp.o 2025-03-21T20:24:05.0304264Z [ 65%] Building CXX object CMakeFiles/flatc.dir/src/flatc.cpp.o 2025-03-21T20:24:05.0305540Z [ 68%] Building CXX object CMakeFiles/flatc.dir/src/flatc_main.cpp.o 2025-03-21T20:24:05.0306954Z [ 71%] Building CXX object CMakeFiles/flatc.dir/src/binary_annotator.cpp.o 2025-03-21T20:24:05.0308504Z [ 73%] Building CXX object CMakeFiles/flatc.dir/src/annotated_binary_text_gen.cpp.o 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object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/python/PyQnnWrapperAdaptor.cpp.o 2025-03-21T20:24:08.9767513Z [100%] Building CXX object backends/qualcomm/CMakeFiles/PyQnnWrapperAdaptor.dir/aot/wrappers/TensorWrapper.cpp.o 2025-03-21T20:24:08.9768594Z [100%] Linking CXX shared module PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so 2025-03-21T20:24:08.9769209Z [100%] Built target PyQnnWrapperAdaptor 2025-03-21T20:24:08.9769983Z + cp -f backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python 2025-03-21T20:24:17.3904893Z + cp -f backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so /pytorch/executorch/backends/qualcomm/python 2025-03-21T20:24:17.3905749Z + popd 2025-03-21T20:24:17.3905997Z /pytorch/executorch 2025-03-21T20:24:17.3906343Z + cp schema/program.fbs exir/_serialize/program.fbs 2025-03-21T20:24:17.3906848Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs 2025-03-21T20:24:17.3907335Z + PYTHON_EXECUTABLE=python 2025-03-21T20:24:17.3907712Z + bash .ci/scripts/setup-linux.sh --build-tool cmake 2025-03-21T20:24:17.3908130Z ++ dirname .ci/scripts/setup-linux.sh 2025-03-21T20:24:17.3908494Z + source .ci/scripts/utils.sh 2025-03-21T20:24:17.3908835Z + read -r BUILD_TOOL BUILD_MODE EDITABLE 2025-03-21T20:24:17.3909345Z ++ parse_args --build-tool cmake 2025-03-21T20:24:17.3909844Z ++ args=('--build-tool' 'cmake') 2025-03-21T20:24:17.3910304Z ++ local args 2025-03-21T20:24:17.3910674Z ++ local i 2025-03-21T20:24:17.3911042Z ++ local BUILD_TOOL= 2025-03-21T20:24:17.3911530Z ++ local BUILD_MODE= 2025-03-21T20:24:17.3911962Z ++ local EDITABLE= 2025-03-21T20:24:17.3912364Z ++ (( i=0 )) 2025-03-21T20:24:17.3912859Z ++ (( i<2 )) 2025-03-21T20:24:17.3913131Z ++ case "${args[$i]}" in 2025-03-21T20:24:17.3913432Z ++ BUILD_TOOL=cmake 2025-03-21T20:24:17.3913685Z ++ i=1 2025-03-21T20:24:17.3913925Z ++ (( i++ )) 2025-03-21T20:24:17.3914168Z ++ (( i<2 )) 2025-03-21T20:24:17.3914444Z ++ '[' -z cmake ']' 2025-03-21T20:24:17.3914727Z ++ [[ cmake =~ ^(cmake|buck2)$ ]] 2025-03-21T20:24:17.3915043Z ++ BUILD_MODE=Release 2025-03-21T20:24:17.3915342Z ++ [[ Release =~ ^(Debug|Release)$ ]] 2025-03-21T20:24:17.3915683Z ++ EDITABLE=false 2025-03-21T20:24:17.3915957Z ++ [[ false =~ ^(true|false)$ ]] 2025-03-21T20:24:17.3916289Z ++ echo 'cmake Release false' 2025-03-21T20:24:17.3916599Z + [[ false == \t\r\u\e ]] 2025-03-21T20:24:17.3916938Z + install_executorch --use-pt-pinned-commit 2025-03-21T20:24:17.3917311Z + which pip 2025-03-21T20:24:17.3917573Z /opt/conda/envs/py_3.10/bin/pip 2025-03-21T20:24:17.3918035Z + ./install_executorch.sh --pybind xnnpack --use-pt-pinned-commit 2025-03-21T20:24:17.3918627Z 2025-03-21 20:24:09,046 [ExecuTorch] INFO: All required submodules are present. 2025-03-21T20:24:17.3919364Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2025-03-21T20:24:17.3920277Z Requirement already satisfied: torch in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (2.7.0a0+git295f2ed) 2025-03-21T20:24:17.3921301Z Requirement already satisfied: torchvision in /var/lib/ci-user/.local/lib/python3.10/site-packages (0.19.0a0+d23a6e1) 2025-03-21T20:24:17.3922327Z Requirement already satisfied: torchaudio in /var/lib/ci-user/.local/lib/python3.10/site-packages (2.6.0a0+c670ad8) 2025-03-21T20:24:17.3923508Z Requirement already satisfied: timm==1.0.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from -r requirements-examples.txt (line 3)) (1.0.7) 2025-03-21T20:24:17.3924834Z 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) 2025-03-21T20:24:17.3926502Z 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) 2025-03-21T20:24:17.3928017Z Requirement already 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[?25l- done 2025-03-21T20:24:17.3967050Z [?25hBuilding wheels for collected packages: torchao 2025-03-21T20:24:17.3967656Z Building wheel for torchao (setup.py) ... [?25l- \ | / done 2025-03-21T20:24:17.3968852Z [?25h Created wheel for torchao: filename=torchao-0.10.0+git64bcf4c-py3-none-any.whl size=758276 sha256=e763a492c1da836978b86c518e31a64582009c7f342b335bcb4c388697dfda3a 2025-03-21T20:24:17.3981420Z Stored in directory: /tmp/pip-ephem-wheel-cache-r_n4qa9p/wheels/0b/23/ff/2261dc1c4a27252503fe159d9fc88676b133e0e8d621abf36f 2025-03-21T20:24:17.3982237Z Successfully built torchao 2025-03-21T20:24:17.3982591Z Installing collected packages: torchao 2025-03-21T20:24:17.3982974Z Attempting uninstall: torchao 2025-03-21T20:24:17.3983370Z Found existing installation: torchao 0.10.0+git64bcf4c 2025-03-21T20:24:17.3983831Z Uninstalling torchao-0.10.0+git64bcf4c: 2025-03-21T20:24:17.3984273Z Successfully uninstalled torchao-0.10.0+git64bcf4c 2025-03-21T20:24:17.3984747Z Successfully installed torchao-0.10.0+git64bcf4c 2025-03-21T20:24:17.3985354Z Using pip 25.0 from /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pip (python 3.10) 2025-03-21T20:24:17.3986157Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu 2025-03-21T20:24:17.3986745Z Processing /pytorch/executorch 2025-03-21T20:24:17.3987148Z Running command Preparing metadata (pyproject.toml) 2025-03-21T20:24:17.3987565Z running dist_info 2025-03-21T20:24:17.3987973Z creating /tmp/pip-modern-metadata-4ectufzd/executorch.egg-info 2025-03-21T20:24:17.3988624Z writing /tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/PKG-INFO 2025-03-21T20:24:17.3989425Z writing dependency_links to /tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/dependency_links.txt 2025-03-21T20:24:17.3990343Z writing entry points to /tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/entry_points.txt 2025-03-21T20:24:17.3991201Z writing requirements to /tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/requires.txt 2025-03-21T20:24:17.3992047Z writing top-level names to /tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/top_level.txt 2025-03-21T20:24:17.3993016Z writing manifest file '/tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/SOURCES.txt' 2025-03-21T20:24:28.8032121Z reading manifest file '/tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/SOURCES.txt' 2025-03-21T20:24:28.8033431Z adding license file 'LICENSE' 2025-03-21T20:24:28.8034474Z writing manifest file '/tmp/pip-modern-metadata-4ectufzd/executorch.egg-info/SOURCES.txt' 2025-03-21T20:24:28.8036283Z creating '/tmp/pip-modern-metadata-4ectufzd/executorch-0.6.0a0+be92d7d.dist-info' 2025-03-21T20:24:28.8037837Z Preparing metadata (pyproject.toml) ... 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2025-03-21T20:24:28.8154320Z plat_name = linux-x86_64 2025-03-21T20:24:28.8154854Z compiler = None 2025-03-21T20:24:28.8155324Z parallel = 7 2025-03-21T20:24:28.8155783Z debug = None 2025-03-21T20:24:28.8156232Z force = None 2025-03-21T20:24:28.8156771Z executable = /opt/conda/envs/py_3.10/bin/python 2025-03-21T20:24:28.8157961Z creating /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out 2025-03-21T20:24:28.8159417Z deleting /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out/CMakeCache.txt 2025-03-21T20:24:28.8161772Z cmake --build /pytorch/executorch/pip-out/temp.linux-x86_64-cpython-310/cmake-out -j7 --target portable_lib --target custom_ops_aot_lib --target quantized_ops_aot_lib --config Release 2025-03-21T20:24:28.8163708Z [ 0%] Creating directories for 'flatbuffers' 2025-03-21T20:24:28.8164820Z [ 0%] Building C object third-party/flatcc/src/runtime/CMakeFiles/flatccrt.dir/emitter.c.o 2025-03-21T20:24:28.8166297Z [ 0%] Building C object 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2025-03-21T20:25:07.6723466Z [ 98%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_fast_hadamard_transform.cpp.o 2025-03-21T20:25:07.6725380Z [ 98%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_update_cache.cpp.o 2025-03-21T20:25:07.6727275Z [100%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/spinquant/fast_hadamard_transform.cpp.o 2025-03-21T20:25:07.6729378Z [100%] Building C object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/spinquant/third-party/FFHT/fht_avx.c.o 2025-03-21T20:25:07.6731246Z [100%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_sdpa_aot.cpp.o 2025-03-21T20:25:07.6733111Z [100%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_fast_hadamard_transform_aten.cpp.o 2025-03-21T20:25:14.7386161Z [100%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_tile_crop.cpp.o 2025-03-21T20:25:14.7387311Z [100%] Building CXX object extension/llm/custom_ops/CMakeFiles/custom_ops_aot_lib.dir/op_tile_crop_aot.cpp.o 2025-03-21T20:25:14.7388047Z [100%] Linking CXX shared library libcustom_ops_aot_lib.so 2025-03-21T20:25:14.7388528Z [100%] Built target custom_ops_aot_lib 2025-03-21T20:25:14.7388901Z [ 0%] Built target flatbuffers 2025-03-21T20:25:14.7389247Z [ 0%] Built target pthreadpool 2025-03-21T20:25:14.7389574Z [ 0%] Built target flatccrt 2025-03-21T20:25:14.7389900Z [ 2%] Built target flatcc 2025-03-21T20:25:14.7390220Z [ 3%] Built target cpuinfo 2025-03-21T20:25:14.7390568Z [ 3%] Built target common_schema 2025-03-21T20:25:14.7390918Z [ 7%] Built target eigen_blas 2025-03-21T20:25:14.7391246Z [ 7%] Built target xnnpack_schema 2025-03-21T20:25:14.7391625Z [ 7%] Built target bundled_program_schema 2025-03-21T20:25:14.7391999Z [ 7%] Built target indirection 2025-03-21T20:25:14.7392339Z [ 7%] Built target logging 2025-03-21T20:25:14.7392829Z [ 7%] Built target datatype 2025-03-21T20:25:14.7393194Z [ 7%] Built target normalization 2025-03-21T20:25:14.7393611Z [ 7%] Built target microparams-init 2025-03-21T20:25:14.7393986Z [ 7%] Built target reference-ukernels 2025-03-21T20:25:14.7394392Z [ 7%] Built target program_schema 2025-03-21T20:25:14.7394784Z [ 7%] Built target flatcc_cli 2025-03-21T20:25:14.7395110Z [ 7%] Built target hardware-config 2025-03-21T20:25:14.7395465Z [ 7%] Built target packing 2025-03-21T20:25:14.7395791Z [ 7%] Built target allocator 2025-03-21T20:25:14.7396117Z [ 7%] Built target cache 2025-03-21T20:25:14.7396449Z [ 7%] Built target microkernel-utils 2025-03-21T20:25:14.7396795Z [ 7%] Built target memory 2025-03-21T20:25:14.7397107Z [ 7%] Built target mutex 2025-03-21T20:25:14.7397427Z [ 7%] Built target operator-utils 2025-03-21T20:25:14.7397784Z [ 7%] Built target operator-run 2025-03-21T20:25:14.7398131Z [ 7%] Built target etdump_schema 2025-03-21T20:25:14.7398470Z [ 9%] Built target operators 2025-03-21T20:25:14.7398811Z [ 10%] Built target executorch_core 2025-03-21T20:25:14.7399166Z [ 11%] Built target executorch 2025-03-21T20:25:14.7399509Z [ 11%] Built target extension_tensor 2025-03-21T20:25:14.7399884Z [ 13%] Built target extension_threadpool 2025-03-21T20:25:14.7400239Z [ 15%] Built target subgraph 2025-03-21T20:25:14.7400585Z [ 15%] Built target extension_data_loader 2025-03-21T20:25:14.7400966Z [ 15%] Built target bundled_program 2025-03-21T20:25:14.7401358Z [ 15%] Built target etdump 2025-03-21T20:25:14.7401774Z [ 15%] Built target cpublas 2025-03-21T20:25:14.7402403Z [ 16%] Built target optimized_kernels 2025-03-21T20:25:14.7402813Z [ 17%] Built target util 2025-03-21T20:25:14.7403153Z [ 32%] Built target optimized_portable_kernels 2025-03-21T20:25:14.7403577Z [ 32%] Built target optimized_native_cpu_ops_lib 2025-03-21T20:25:14.7403986Z [ 94%] Built target microkernels-prod 2025-03-21T20:25:14.7404336Z [ 96%] Built target XNNPACK 2025-03-21T20:25:14.7404783Z [ 96%] Built target xnnpack_backend 2025-03-21T20:25:14.7405146Z [ 97%] Built target portable_lib 2025-03-21T20:25:14.7405791Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_add.cpp.o 2025-03-21T20:25:14.7406765Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/embeddingxb.cpp.o 2025-03-21T20:25:14.7407827Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_choose_qparams.cpp.o 2025-03-21T20:25:14.7409068Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_dequantize.cpp.o 2025-03-21T20:25:14.7410075Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_embedding.cpp.o 2025-03-21T20:25:14.7411085Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_embedding2b.cpp.o 2025-03-21T20:25:14.7412109Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_embedding4b.cpp.o 2025-03-21T20:25:14.7413127Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_mixed_linear.cpp.o 2025-03-21T20:25:14.7414130Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_mixed_mm.cpp.o 2025-03-21T20:25:14.7415291Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_pybind_kernels_lib.dir/cpu/op_quantize.cpp.o 2025-03-21T20:25:14.7416059Z [ 97%] Linking CXX static library libquantized_pybind_kernels_lib.a 2025-03-21T20:25:14.7416565Z [ 97%] Built target quantized_pybind_kernels_lib 2025-03-21T20:25:14.7417086Z [ 97%] Generating selected_operators.yaml for quantized_ops_pybind_lib 2025-03-21T20:25:14.7417599Z [ 97%] Generating code for kernel registration 2025-03-21T20:25:14.7418551Z [ 97%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_pybind_lib.dir/quantized_ops_pybind_lib/RegisterCodegenUnboxedKernelsEverything.cpp.o 2025-03-21T20:25:14.7419556Z [ 98%] Linking CXX static library libquantized_ops_pybind_lib.a 2025-03-21T20:25:14.7420008Z [ 98%] Built target quantized_ops_pybind_lib 2025-03-21T20:25:14.7420532Z [ 98%] Generating selected_operators.yaml for quantized_ops_aot_lib 2025-03-21T20:25:14.7423696Z quantized_decomposed::add.out quantized_decomposed::choose_qparams.Tensor_out quantized_decomposed::choose_qparams_per_token_asymmetric.out quantized_decomposed::dequantize_per_channel.out quantized_decomposed::dequantize_per_tensor.out quantized_decomposed::dequantize_per_tensor.Tensor_out quantized_decomposed::dequantize_per_token.out quantized_decomposed::mixed_linear.out quantized_decomposed::mixed_mm.out quantized_decomposed::quantize_per_channel.out quantized_decomposed::quantize_per_tensor.out quantized_decomposed::quantize_per_tensor.Tensor_out quantized_decomposed::quantize_per_token.out 2025-03-21T20:25:14.7426866Z [ 98%] Generating code for kernel registration 2025-03-21T20:25:14.7427729Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterCPUCustomOps.cpp.o 2025-03-21T20:25:14.7428885Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/quantized_ops_aot_lib/RegisterSchema.cpp.o 2025-03-21T20:25:14.7429882Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_add.cpp.o 2025-03-21T20:25:14.7430780Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/embeddingxb.cpp.o 2025-03-21T20:25:14.7432045Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_dequantize.cpp.o 2025-03-21T20:25:14.7433110Z [ 98%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_choose_qparams.cpp.o 2025-03-21T20:25:14.7434079Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding.cpp.o 2025-03-21T20:25:14.7435114Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding2b.cpp.o 2025-03-21T20:25:14.7436074Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_embedding4b.cpp.o 2025-03-21T20:25:14.7437037Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_mixed_linear.cpp.o 2025-03-21T20:25:14.7438036Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_mixed_mm.cpp.o 2025-03-21T20:25:14.7439100Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/cpu/op_quantize.cpp.o 2025-03-21T20:25:14.7440101Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/portable/cpu/util/reduce_util.cpp.o 2025-03-21T20:25:14.7441264Z [100%] Building CXX object kernels/quantized/CMakeFiles/quantized_ops_aot_lib.dir/__/__/runtime/core/exec_aten/util/tensor_util_aten.cpp.o 2025-03-21T20:25:14.7442144Z [100%] Linking CXX shared library libquantized_ops_aot_lib.so 2025-03-21T20:25:14.7442612Z [100%] Built target quantized_ops_aot_lib 2025-03-21T20:25:14.7442984Z running build_py 2025-03-21T20:25:14.7443432Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7444363Z copying backends/arm/arm_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7445221Z copying backends/arm/arm_vela.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7446095Z copying backends/arm/ethosu_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7447028Z copying backends/arm/ethosu_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7447946Z copying backends/arm/process_node.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7448837Z copying backends/arm/tosa_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7449814Z copying backends/arm/tosa_mapping.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7450748Z copying backends/arm/tosa_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7451665Z copying backends/arm/tosa_quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7452690Z copying backends/arm/tosa_specification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7453602Z copying backends/arm/tosa_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm 2025-03-21T20:25:14.7454364Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-03-21T20:25:14.7455229Z copying backends/example/example_backend.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-03-21T20:25:14.7456416Z copying backends/example/example_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-03-21T20:25:14.7457460Z copying backends/example/example_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-03-21T20:25:14.7458502Z copying backends/example/test_example_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example 2025-03-21T20:25:14.7459361Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-03-21T20:25:14.7460154Z copying backends/mediatek/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-03-21T20:25:14.7461346Z copying backends/mediatek/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-03-21T20:25:14.7462330Z copying backends/mediatek/preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek 2025-03-21T20:25:14.7783340Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm 2025-03-21T20:25:14.7784603Z copying backends/qualcomm/qnn_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm 2025-03-21T20:25:14.7785462Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7786294Z copying backends/transforms/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7787323Z copying backends/transforms/addmm_mm_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7788551Z copying backends/transforms/convert_dtype_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7789655Z copying backends/transforms/decompose_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7790760Z copying backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7791920Z copying backends/transforms/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7793112Z copying backends/transforms/fuse_conv_with_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7794198Z copying backends/transforms/fuse_dequant_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7795252Z copying backends/transforms/fuse_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7796566Z copying backends/transforms/mean_to_sum_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7797783Z copying backends/transforms/rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7798817Z copying backends/transforms/remove_clone_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7799918Z copying backends/transforms/replace_scalar_with_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7800974Z copying backends/transforms/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7802043Z copying backends/transforms/view_copy_to_squeeze_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms 2025-03-21T20:25:14.7802960Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-03-21T20:25:14.7803786Z copying backends/vulkan/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-03-21T20:25:14.7804787Z copying backends/vulkan/custom_ops_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-03-21T20:25:14.7805718Z copying backends/vulkan/op_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-03-21T20:25:14.7806632Z copying backends/vulkan/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-03-21T20:25:14.7807572Z copying backends/vulkan/vulkan_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan 2025-03-21T20:25:14.7808401Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack 2025-03-21T20:25:14.7809179Z copying backends/xnnpack/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack 2025-03-21T20:25:14.7810149Z copying backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack 2025-03-21T20:25:14.7811392Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps 2025-03-21T20:25:14.7812191Z copying backends/apple/mps/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps 2025-03-21T20:25:14.7813370Z copying backends/apple/mps/mps_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps 2025-03-21T20:25:14.7814339Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler 2025-03-21T20:25:14.7815336Z copying backends/apple/coreml/compiler/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler 2025-03-21T20:25:14.7816586Z copying backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/compiler 2025-03-21T20:25:14.7817648Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition 2025-03-21T20:25:14.7818662Z copying backends/apple/coreml/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition 2025-03-21T20:25:14.7819942Z copying backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/partition 2025-03-21T20:25:14.7821017Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer 2025-03-21T20:25:14.7822018Z copying backends/apple/coreml/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer 2025-03-21T20:25:14.7823288Z copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/quantizer 2025-03-21T20:25:14.7824321Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test 2025-03-21T20:25:14.7825333Z copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test 2025-03-21T20:25:14.7826595Z copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/test 2025-03-21T20:25:14.7827823Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs 2025-03-21T20:25:14.7828995Z copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/inmemoryfs 2025-03-21T20:25:14.7830122Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test 2025-03-21T20:25:14.7831262Z copying backends/apple/coreml/runtime/test/export_stateful_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml/runtime/test 2025-03-21T20:25:14.7832364Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7833645Z copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7834858Z copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7836074Z copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7837273Z copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7838478Z copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7839968Z copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7841204Z copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7842542Z copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7843779Z copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7845088Z copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7846553Z copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7847732Z copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7848942Z copying backends/apple/mps/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7850151Z copying backends/apple/mps/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7851321Z copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7852513Z copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7853712Z copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7854905Z copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7856326Z copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7857514Z copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators 2025-03-21T20:25:14.7858521Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition 2025-03-21T20:25:14.8168684Z copying backends/apple/mps/partition/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition 2025-03-21T20:25:14.8170081Z copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/partition 2025-03-21T20:25:14.8171132Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-03-21T20:25:14.8172224Z copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-03-21T20:25:14.8173668Z copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-03-21T20:25:14.8175120Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8176030Z copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8177275Z copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8178438Z copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8179595Z copying backends/apple/mps/test/test_mps_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8180728Z copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8181862Z copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8183170Z copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/test 2025-03-21T20:25:14.8184092Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils 2025-03-21T20:25:14.8185399Z copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils 2025-03-21T20:25:14.8186871Z copying backends/apple/mps/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/utils 2025-03-21T20:25:14.8187768Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8188734Z copying backends/arm/_passes/_debug_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8189852Z copying backends/arm/_passes/annotate_channels_last_dim_order_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8191046Z copying backends/arm/_passes/annotate_decomposed_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8192447Z copying backends/arm/_passes/arm_pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8193596Z copying backends/arm/_passes/arm_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8194710Z copying backends/arm/_passes/cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8195754Z copying backends/arm/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8196891Z copying backends/arm/_passes/convert_any_default_dim_dims_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8198321Z copying backends/arm/_passes/convert_expand_copy_to_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8199577Z copying backends/arm/_passes/convert_full_like_to_full_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8200684Z copying backends/arm/_passes/convert_minmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8201773Z copying backends/arm/_passes/convert_split_to_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8202937Z copying backends/arm/_passes/convert_squeezes_to_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8204250Z copying backends/arm/_passes/convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8205429Z copying backends/arm/_passes/decompose_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8206535Z copying backends/arm/_passes/decompose_div_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8207641Z copying backends/arm/_passes/decompose_layernorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8208933Z copying backends/arm/_passes/decompose_linear_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8210042Z copying backends/arm/_passes/decompose_meandim_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8211120Z copying backends/arm/_passes/decompose_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8212208Z copying backends/arm/_passes/decompose_softmax_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8213418Z copying backends/arm/_passes/decompose_softmax_unstable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8214677Z copying backends/arm/_passes/decompose_var_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8215870Z copying backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8217281Z copying backends/arm/_passes/fuse_batchnorm2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8218489Z copying backends/arm/_passes/fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8219626Z copying backends/arm/_passes/fuse_quantized_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8220765Z copying backends/arm/_passes/insert_rescales_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8221882Z copying backends/arm/_passes/insert_table_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8223079Z copying backends/arm/_passes/keep_dims_false_to_squeeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8224273Z copying backends/arm/_passes/match_arg_ranks_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8225385Z copying backends/arm/_passes/meandim_to_averagepool_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8226456Z copying backends/arm/_passes/mm_to_bmm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8227706Z copying backends/arm/_passes/remove_clone_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8228996Z copying backends/arm/_passes/scalars_to_attribute_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8230116Z copying backends/arm/_passes/size_adjust_conv2d_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8231240Z copying backends/arm/_passes/unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8232529Z copying backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/_passes 2025-03-21T20:25:14.8233690Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8234738Z copying backends/arm/operator_support/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8235963Z copying backends/arm/operator_support/convolution_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8237232Z copying backends/arm/operator_support/minmax_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8238665Z copying backends/arm/operator_support/pool_2d_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8239987Z copying backends/arm/operator_support/reduce_sum_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8241254Z copying backends/arm/operator_support/right_shift_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8242524Z copying backends/arm/operator_support/slice_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8576550Z copying backends/arm/operator_support/to_copy_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8578105Z copying backends/arm/operator_support/tosa_supported_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operator_support 2025-03-21T20:25:14.8579129Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8580079Z copying backends/arm/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8581250Z copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8582415Z copying backends/arm/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8583410Z copying backends/arm/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8584430Z copying backends/arm/operators/op_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8585464Z copying backends/arm/operators/op_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8586484Z copying backends/arm/operators/op_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8587745Z copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8588797Z copying backends/arm/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8589809Z copying backends/arm/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8590823Z copying backends/arm/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8591910Z copying backends/arm/operators/op_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8593093Z copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8594127Z copying backends/arm/operators/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8595188Z copying backends/arm/operators/op_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8596335Z copying backends/arm/operators/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8597544Z copying backends/arm/operators/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8598572Z copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8599586Z copying backends/arm/operators/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8600596Z copying backends/arm/operators/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8601607Z copying backends/arm/operators/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8602613Z copying backends/arm/operators/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8603796Z copying backends/arm/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8604871Z copying backends/arm/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8605935Z copying backends/arm/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8606962Z copying backends/arm/operators/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8608097Z copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8609179Z copying backends/arm/operators/op_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8610313Z copying backends/arm/operators/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8611374Z copying backends/arm/operators/op_rescale.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8612434Z copying backends/arm/operators/op_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8613480Z copying backends/arm/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8614523Z copying backends/arm/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8615782Z copying backends/arm/operators/op_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8616816Z copying backends/arm/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8617845Z copying backends/arm/operators/op_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8618875Z copying backends/arm/operators/op_table.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8619910Z copying backends/arm/operators/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8620952Z copying backends/arm/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8622032Z copying backends/arm/operators/op_to_dim_order_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8623135Z copying backends/arm/operators/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8624421Z copying backends/arm/operators/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8625517Z copying backends/arm/operators/op_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8626559Z copying backends/arm/operators/ops_binary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8627610Z copying backends/arm/operators/ops_unary.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/operators 2025-03-21T20:25:14.8628486Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-03-21T20:25:14.8629341Z copying backends/arm/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-03-21T20:25:14.8630596Z copying backends/arm/quantizer/arm_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-03-21T20:25:14.8631722Z copying backends/arm/quantizer/arm_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-03-21T20:25:14.8633011Z copying backends/arm/quantizer/quantization_annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-03-21T20:25:14.8634208Z copying backends/arm/quantizer/quantization_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer 2025-03-21T20:25:14.8635133Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-03-21T20:25:14.8635926Z copying backends/arm/test/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-03-21T20:25:14.8637006Z copying backends/arm/test/conftest.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-03-21T20:25:14.8638073Z copying backends/arm/test/runner_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-03-21T20:25:14.8639040Z copying backends/arm/test/test_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test 2025-03-21T20:25:14.8639924Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util 2025-03-21T20:25:14.8640781Z copying backends/arm/util/arm_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/util 2025-03-21T20:25:14.8641657Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.8642776Z copying backends/arm/test/misc/test_custom_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.8643913Z copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.8645039Z copying backends/arm/test/misc/test_dim_order_guards.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.8646172Z copying backends/arm/test/misc/test_lifted_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.8647312Z copying backends/arm/test/misc/test_model_evaluator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.8648576Z copying backends/arm/test/misc/test_multiple_delegates.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.9029800Z copying backends/arm/test/misc/test_multiple_outputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.9031223Z copying backends/arm/test/misc/test_partition_decomposed_quantized_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.9032464Z copying backends/arm/test/misc/test_tosa_spec.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/misc 2025-03-21T20:25:14.9033457Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9034482Z copying backends/arm/test/models/test_conformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9035714Z copying backends/arm/test/models/test_dl3_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9036820Z copying backends/arm/test/models/test_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9037925Z copying backends/arm/test/models/test_lstm_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9039077Z copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9040285Z copying backends/arm/test/models/test_nn_functional.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9041433Z copying backends/arm/test/models/test_nn_modules.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9042750Z copying backends/arm/test/models/test_torch_functions.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9043924Z copying backends/arm/test/models/test_w2l_arm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/models 2025-03-21T20:25:14.9044818Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9045668Z copying backends/arm/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9046672Z copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9047848Z copying backends/arm/test/ops/test_amax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9049035Z copying backends/arm/test/ops/test_amin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9050120Z copying backends/arm/test/ops/test_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9051164Z copying backends/arm/test/ops/test_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9052243Z copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9053312Z copying backends/arm/test/ops/test_bitwise.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9054346Z copying backends/arm/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9055551Z copying backends/arm/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9056572Z copying backends/arm/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9057594Z copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9058664Z copying backends/arm/test/ops/test_constant_pad_nd.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9059741Z copying backends/arm/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9060783Z copying backends/arm/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9061916Z copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9063101Z copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9064167Z copying backends/arm/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9065157Z copying backends/arm/test/ops/test_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9066157Z copying backends/arm/test/ops/test_exp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9067413Z copying backends/arm/test/ops/test_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9068453Z copying backends/arm/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9069524Z copying backends/arm/test/ops/test_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9070695Z copying backends/arm/test/ops/test_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9071694Z copying backends/arm/test/ops/test_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9072827Z copying backends/arm/test/ops/test_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9073919Z copying backends/arm/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9074997Z copying backends/arm/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9076222Z copying backends/arm/test/ops/test_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9077402Z copying backends/arm/test/ops/test_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9078442Z copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9079621Z copying backends/arm/test/ops/test_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9080654Z copying backends/arm/test/ops/test_logical.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9081915Z copying backends/arm/test/ops/test_logsoftmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9082966Z copying backends/arm/test/ops/test_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9084002Z copying backends/arm/test/ops/test_max_pool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9085069Z copying backends/arm/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9086129Z copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9087192Z copying backends/arm/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9088222Z copying backends/arm/test/ops/test_mm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9089370Z copying backends/arm/test/ops/test_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9090409Z copying backends/arm/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9091490Z copying backends/arm/test/ops/test_reciprocal.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9092559Z copying backends/arm/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9093600Z copying backends/arm/test/ops/test_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9094851Z copying backends/arm/test/ops/test_rshift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9095892Z copying backends/arm/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9096925Z copying backends/arm/test/ops/test_scalars.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9097971Z copying backends/arm/test/ops/test_select.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9099019Z copying backends/arm/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9100096Z copying backends/arm/test/ops/test_sigmoid_16bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9101195Z copying backends/arm/test/ops/test_sigmoid_32bit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9102375Z copying backends/arm/test/ops/test_slice.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9349953Z copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9351190Z copying backends/arm/test/ops/test_split.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9352229Z copying backends/arm/test/ops/test_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9353349Z copying backends/arm/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9354611Z copying backends/arm/test/ops/test_sum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9355783Z copying backends/arm/test/ops/test_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9356904Z copying backends/arm/test/ops/test_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9357966Z copying backends/arm/test/ops/test_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9359087Z copying backends/arm/test/ops/test_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9360174Z copying backends/arm/test/ops/test_var.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9361339Z copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/ops 2025-03-21T20:25:14.9362219Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9363182Z copying backends/arm/test/passes/test_cast_int64_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9364375Z copying backends/arm/test/passes/test_convert_to_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9365554Z copying backends/arm/test/passes/test_fold_qdq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9367073Z copying backends/arm/test/passes/test_fuse_batchnorm_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9368399Z copying backends/arm/test/passes/test_fuse_constant_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9369628Z copying backends/arm/test/passes/test_insert_table_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9370868Z copying backends/arm/test/passes/test_ioquantization_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9372205Z copying backends/arm/test/passes/test_meandim_to_averagepool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9373535Z copying backends/arm/test/passes/test_rescale_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9374777Z copying backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/passes 2025-03-21T20:25:14.9375810Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer 2025-03-21T20:25:14.9376831Z copying backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer 2025-03-21T20:25:14.9377835Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-03-21T20:25:14.9378713Z copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-03-21T20:25:14.9379849Z copying backends/arm/test/tester/analyze_output_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-03-21T20:25:14.9381008Z copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-03-21T20:25:14.9382117Z copying backends/arm/test/tester/test_pipeline.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester 2025-03-21T20:25:14.9383049Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil 2025-03-21T20:25:14.9384315Z copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil 2025-03-21T20:25:14.9385329Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib 2025-03-21T20:25:14.9386613Z copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib 2025-03-21T20:25:14.9387884Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-03-21T20:25:14.9389487Z 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 2025-03-21T20:25:14.9391342Z 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 2025-03-21T20:25:14.9392928Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-03-21T20:25:14.9394666Z 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 2025-03-21T20:25:14.9396549Z 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 2025-03-21T20:25:14.9398311Z 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 2025-03-21T20:25:14.9400112Z 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 2025-03-21T20:25:14.9402058Z 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 2025-03-21T20:25:14.9403859Z 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 2025-03-21T20:25:14.9405660Z 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 2025-03-21T20:25:14.9407638Z 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 2025-03-21T20:25:14.9409368Z 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 2025-03-21T20:25:14.9411226Z 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 2025-03-21T20:25:14.9413348Z 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 2025-03-21T20:25:14.9415135Z 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 2025-03-21T20:25:14.9416938Z 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 2025-03-21T20:25:14.9418903Z 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 2025-03-21T20:25:14.9420703Z 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 2025-03-21T20:25:14.9422576Z 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 2025-03-21T20:25:14.9424564Z 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 2025-03-21T20:25:14.9426369Z 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 2025-03-21T20:25:14.9732470Z 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 2025-03-21T20:25:14.9734345Z 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 2025-03-21T20:25:14.9736122Z 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 2025-03-21T20:25:14.9738101Z 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 2025-03-21T20:25:14.9739889Z 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 2025-03-21T20:25:14.9741675Z 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 2025-03-21T20:25:14.9743459Z 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 2025-03-21T20:25:14.9745225Z 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 2025-03-21T20:25:14.9746976Z 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 2025-03-21T20:25:14.9748725Z 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 2025-03-21T20:25:14.9750467Z 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 2025-03-21T20:25:14.9752271Z 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 2025-03-21T20:25:14.9754420Z 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 2025-03-21T20:25:14.9756340Z 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 2025-03-21T20:25:14.9758283Z 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 2025-03-21T20:25:14.9760050Z 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 2025-03-21T20:25:14.9761488Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-03-21T20:25:14.9762937Z 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 2025-03-21T20:25:14.9764380Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-03-21T20:25:14.9765852Z 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 2025-03-21T20:25:14.9767456Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9768500Z copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9769694Z copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9770738Z copying backends/cadence/aot/compiler_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9771808Z copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9772843Z copying backends/cadence/aot/fuse_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9773870Z copying backends/cadence/aot/graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9774956Z copying backends/cadence/aot/memory_constraints.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9776029Z copying backends/cadence/aot/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9777114Z copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9778460Z copying backends/cadence/aot/pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9779642Z copying backends/cadence/aot/passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9780959Z copying backends/cadence/aot/ref_implementations.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9782091Z copying backends/cadence/aot/remove_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9783295Z copying backends/cadence/aot/reorder_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9784482Z copying backends/cadence/aot/replace_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9785609Z copying backends/cadence/aot/simplify_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9786789Z copying backends/cadence/aot/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:14.9787708Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-03-21T20:25:14.9788679Z copying backends/cadence/runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-03-21T20:25:14.9790004Z copying backends/cadence/runtime/executor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-03-21T20:25:14.9791500Z copying backends/cadence/runtime/runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-03-21T20:25:14.9792871Z copying backends/cadence/runtime/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/runtime 2025-03-21T20:25:14.9793946Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-03-21T20:25:14.9794912Z copying backends/cadence/utils/facto_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-03-21T20:25:14.9795974Z copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-03-21T20:25:14.9797222Z copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils 2025-03-21T20:25:14.9798193Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-03-21T20:25:14.9799200Z copying backends/cadence/aot/quantizer/fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-03-21T20:25:14.9800537Z copying backends/cadence/aot/quantizer/patterns.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-03-21T20:25:14.9801789Z copying backends/cadence/aot/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-03-21T20:25:14.9803014Z copying backends/cadence/aot/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/quantizer 2025-03-21T20:25:14.9804118Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:14.9805122Z copying backends/cadence/aot/tests/test_fusion_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:14.9806356Z copying backends/cadence/aot/tests/test_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:14.9807670Z copying backends/cadence/aot/tests/test_memory_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:14.9808859Z copying backends/cadence/aot/tests/test_pass_filter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:14.9810071Z copying backends/cadence/aot/tests/test_remove_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:15.0044722Z copying backends/cadence/aot/tests/test_reorder_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:15.0046207Z copying backends/cadence/aot/tests/test_replace_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:15.0047600Z copying backends/cadence/aot/tests/test_simplify_ops_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot/tests 2025-03-21T20:25:15.0048719Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO 2025-03-21T20:25:15.0050027Z copying backends/cadence/utils/FACTO/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO 2025-03-21T20:25:15.0051141Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator 2025-03-21T20:25:15.0052439Z copying backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator 2025-03-21T20:25:15.0053996Z copying backends/cadence/utils/FACTO/calibrator/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator 2025-03-21T20:25:15.0055221Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-03-21T20:25:15.0056818Z copying backends/cadence/utils/FACTO/examples/example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-03-21T20:25:15.0058339Z copying backends/cadence/utils/FACTO/examples/minimal_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-03-21T20:25:15.0059952Z copying backends/cadence/utils/FACTO/examples/random_seed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples 2025-03-21T20:25:15.0061072Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto 2025-03-21T20:25:15.0062130Z copying backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto 2025-03-21T20:25:15.0063306Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-03-21T20:25:15.0064546Z copying backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-03-21T20:25:15.0065884Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:15.0067358Z copying backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:15.0068811Z copying backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:15.0070442Z copying backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:15.0072050Z copying backends/cadence/utils/FACTO/facto/specdb/function.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:15.0073397Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-03-21T20:25:15.0074775Z 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 2025-03-21T20:25:15.0076489Z 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 2025-03-21T20:25:15.0078551Z 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 2025-03-21T20:25:15.0079918Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-03-21T20:25:15.0081287Z 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 2025-03-21T20:25:15.0083198Z 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 2025-03-21T20:25:15.0085018Z 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 2025-03-21T20:25:15.0086762Z 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 2025-03-21T20:25:15.0088280Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-03-21T20:25:15.0089674Z 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 2025-03-21T20:25:15.0091559Z 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 2025-03-21T20:25:15.0093513Z 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 2025-03-21T20:25:15.0095355Z 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 2025-03-21T20:25:15.0096730Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-03-21T20:25:15.0098280Z 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 2025-03-21T20:25:15.0110286Z 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 2025-03-21T20:25:15.0111896Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-03-21T20:25:15.0113417Z 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 2025-03-21T20:25:15.0115109Z 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 2025-03-21T20:25:15.0116497Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-03-21T20:25:15.0118169Z 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 2025-03-21T20:25:15.0119939Z 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 2025-03-21T20:25:15.0121666Z 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 2025-03-21T20:25:15.0123374Z 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 2025-03-21T20:25:15.0125141Z 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 2025-03-21T20:25:15.0127015Z 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 2025-03-21T20:25:15.0128880Z 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 2025-03-21T20:25:15.0130195Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:15.0131468Z 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 2025-03-21T20:25:15.0133264Z 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 2025-03-21T20:25:15.0134894Z 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 2025-03-21T20:25:15.0136522Z 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 2025-03-21T20:25:15.0378703Z 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 2025-03-21T20:25:15.0380696Z 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 2025-03-21T20:25:15.0382401Z 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 2025-03-21T20:25:15.0384204Z 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 2025-03-21T20:25:15.0385786Z 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 2025-03-21T20:25:15.0387386Z 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 2025-03-21T20:25:15.0389167Z 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 2025-03-21T20:25:15.0390791Z 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 2025-03-21T20:25:15.0392424Z 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 2025-03-21T20:25:15.0394375Z 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 2025-03-21T20:25:15.0396529Z 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 2025-03-21T20:25:15.0398847Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes 2025-03-21T20:25:15.0400168Z 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 2025-03-21T20:25:15.0401853Z 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 2025-03-21T20:25:15.0403134Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0404249Z copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0405641Z copying backends/example/example_operators/add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0407000Z copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0408359Z copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0409651Z copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0410939Z copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0412219Z copying backends/example/example_operators/linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0413760Z copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0415195Z copying backends/example/example_operators/ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0416448Z copying backends/example/example_operators/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators 2025-03-21T20:25:15.0417441Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes 2025-03-21T20:25:15.0418344Z copying backends/mediatek/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes 2025-03-21T20:25:15.0419592Z copying backends/mediatek/_passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes 2025-03-21T20:25:15.0420656Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-03-21T20:25:15.0421601Z copying backends/mediatek/quantizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-03-21T20:25:15.0422768Z copying backends/mediatek/quantizer/annotator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-03-21T20:25:15.0423975Z copying backends/mediatek/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-03-21T20:25:15.0425206Z copying backends/mediatek/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer 2025-03-21T20:25:15.0426162Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0427056Z copying backends/qualcomm/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0428188Z copying backends/qualcomm/_passes/annotate_decomposed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0429431Z copying backends/qualcomm/_passes/annotate_quant_attrs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0430666Z copying backends/qualcomm/_passes/build_quant_io.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0431808Z copying backends/qualcomm/_passes/constant_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0433056Z copying backends/qualcomm/_passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0434312Z copying backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0435700Z copying backends/qualcomm/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0436855Z copying backends/qualcomm/_passes/decompose_any.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0438013Z copying backends/qualcomm/_passes/decompose_einsum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0439240Z copying backends/qualcomm/_passes/decompose_linalg_vector_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0440443Z copying backends/qualcomm/_passes/decompose_silu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0441660Z copying backends/qualcomm/_passes/expand_broadcast_tensor_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0443046Z copying backends/qualcomm/_passes/fold_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0444206Z copying backends/qualcomm/_passes/fuse_consecutive_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0445462Z copying backends/qualcomm/_passes/insert_io_qdq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0446616Z copying backends/qualcomm/_passes/insert_requantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0447842Z copying backends/qualcomm/_passes/layout_transform.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0449141Z copying backends/qualcomm/_passes/lift_constant_scalar_operands.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0450395Z copying backends/qualcomm/_passes/recompose_pixel_unshuffle.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0451607Z copying backends/qualcomm/_passes/recompose_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0452785Z copying backends/qualcomm/_passes/recompose_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0454091Z copying backends/qualcomm/_passes/reduce_dynamic_range.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0455273Z copying backends/qualcomm/_passes/remove_redundancy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0821613Z copying backends/qualcomm/_passes/replace_index_put_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0822973Z copying backends/qualcomm/_passes/replace_inf_buffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0824161Z copying backends/qualcomm/_passes/tensor_i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0825430Z copying backends/qualcomm/_passes/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes 2025-03-21T20:25:15.0826327Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0827259Z copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0828399Z copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0829566Z copying backends/qualcomm/builders/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0830865Z copying backends/qualcomm/builders/op_adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0832040Z copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0833245Z copying backends/qualcomm/builders/op_arange.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0834360Z copying backends/qualcomm/builders/op_argmin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0835614Z copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0836844Z copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0837970Z copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0839225Z copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0840427Z copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0841693Z copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0842804Z copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0843895Z copying backends/qualcomm/builders/op_cos.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0845063Z copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0846374Z copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0847506Z copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0848633Z copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0849749Z copying backends/qualcomm/builders/op_eq.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0851010Z copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0852117Z copying backends/qualcomm/builders/op_full.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0853237Z copying backends/qualcomm/builders/op_full_like.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0854346Z copying backends/qualcomm/builders/op_ge.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0855534Z copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0856737Z copying backends/qualcomm/builders/op_group_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0857855Z copying backends/qualcomm/builders/op_gt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0858987Z copying backends/qualcomm/builders/op_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0860155Z copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0861448Z copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0862584Z copying backends/qualcomm/builders/op_index.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0863722Z copying backends/qualcomm/builders/op_index_put.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0864887Z copying backends/qualcomm/builders/op_instance_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0866101Z copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0867483Z copying backends/qualcomm/builders/op_le.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0868589Z copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0869799Z copying backends/qualcomm/builders/op_log.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0870930Z copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0872360Z copying backends/qualcomm/builders/op_logical_not.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0873566Z copying backends/qualcomm/builders/op_lt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0874669Z copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0875770Z copying backends/qualcomm/builders/op_max.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0877069Z copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0878218Z copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0879322Z copying backends/qualcomm/builders/op_min.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0880407Z copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0881586Z copying backends/qualcomm/builders/op_ne.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0882752Z copying backends/qualcomm/builders/op_neg.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0883839Z copying backends/qualcomm/builders/op_or.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0884935Z copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0886025Z copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0887221Z copying backends/qualcomm/builders/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0888418Z copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0889540Z copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0890646Z copying backends/qualcomm/builders/op_repeat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0891865Z copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0893058Z copying backends/qualcomm/builders/op_rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0894179Z copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.0895309Z copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1222706Z copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1224078Z copying backends/qualcomm/builders/op_sin.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1225182Z copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1226485Z copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1227631Z copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1229221Z copying backends/qualcomm/builders/op_space_to_depth.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1230646Z copying backends/qualcomm/builders/op_split_with_sizes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1231800Z copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1233026Z copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1234127Z copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1235334Z copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1236546Z copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1237638Z copying backends/qualcomm/builders/op_to.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1238731Z copying backends/qualcomm/builders/op_topk.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1239861Z copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1241020Z copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1242233Z copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1243469Z copying backends/qualcomm/builders/op_upsample_nearest2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1244651Z copying backends/qualcomm/builders/op_where.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1245799Z copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1246944Z copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders 2025-03-21T20:25:15.1247873Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger 2025-03-21T20:25:15.1248796Z copying backends/qualcomm/debugger/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/debugger 2025-03-21T20:25:15.1249731Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-03-21T20:25:15.1250707Z copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-03-21T20:25:15.1251924Z copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-03-21T20:25:15.1253109Z copying backends/qualcomm/partition/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/partition 2025-03-21T20:25:15.1254036Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-03-21T20:25:15.1255008Z copying backends/qualcomm/quantizer/annotators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-03-21T20:25:15.1256230Z copying backends/qualcomm/quantizer/custom_annotation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-03-21T20:25:15.1257529Z copying backends/qualcomm/quantizer/qconfig.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-03-21T20:25:15.1258703Z copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer 2025-03-21T20:25:15.1259982Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-03-21T20:25:15.1261014Z copying backends/qualcomm/serialization/qc_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-03-21T20:25:15.1262298Z copying backends/qualcomm/serialization/qc_schema_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-03-21T20:25:15.1263331Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-03-21T20:25:15.1264227Z copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-03-21T20:25:15.1265330Z copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-03-21T20:25:15.1266420Z copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/tests 2025-03-21T20:25:15.1267555Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils 2025-03-21T20:25:15.1268466Z copying backends/qualcomm/utils/constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils 2025-03-21T20:25:15.1269522Z copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/utils 2025-03-21T20:25:15.1270472Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers 2025-03-21T20:25:15.1271683Z copying backends/qualcomm/quantizer/observers/per_channel_param_observer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/quantizer/observers 2025-03-21T20:25:15.1272895Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-03-21T20:25:15.1274027Z copying backends/transforms/test/test_create_delete_constant_placeholder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-03-21T20:25:15.1275430Z copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-03-21T20:25:15.1276882Z copying backends/transforms/test/test_rank_0_to_rank_1.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/test 2025-03-21T20:25:15.1278078Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1279073Z copying backends/vulkan/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1280235Z copying backends/vulkan/_passes/insert_prepack_nodes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1281583Z copying backends/vulkan/_passes/int4_weight_only_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1282885Z copying backends/vulkan/_passes/remove_asserts.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1284119Z copying backends/vulkan/_passes/remove_local_scalar_dense_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1285479Z copying backends/vulkan/_passes/remove_redundant_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1286807Z copying backends/vulkan/_passes/squeeze_unsqueeze_inputs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1288185Z copying backends/vulkan/_passes/tag_memory_meta_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes 2025-03-21T20:25:15.1289321Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner 2025-03-21T20:25:15.1290331Z copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/partitioner 2025-03-21T20:25:15.1291408Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer 2025-03-21T20:25:15.1292374Z copying backends/vulkan/quantizer/vulkan_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/quantizer 2025-03-21T20:25:15.1293316Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime 2025-03-21T20:25:15.1294312Z copying backends/vulkan/runtime/gen_vulkan_spv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime 2025-03-21T20:25:15.1295411Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-03-21T20:25:15.1296599Z copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-03-21T20:25:15.1298076Z copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-03-21T20:25:15.1620982Z copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-03-21T20:25:15.1622066Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-03-21T20:25:15.1622973Z copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-03-21T20:25:15.1624085Z copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-03-21T20:25:15.1625376Z copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test 2025-03-21T20:25:15.1626343Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests 2025-03-21T20:25:15.1627283Z copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests 2025-03-21T20:25:15.1628503Z copying backends/vulkan/test/op_tests/generate_op_benchmarks.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests 2025-03-21T20:25:15.1630010Z 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 2025-03-21T20:25:15.1631104Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils 2025-03-21T20:25:15.1632165Z 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 2025-03-21T20:25:15.1633593Z 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 2025-03-21T20:25:15.1635051Z 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 2025-03-21T20:25:15.1636467Z 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 2025-03-21T20:25:15.1637842Z 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 2025-03-21T20:25:15.1639167Z 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 2025-03-21T20:25:15.1640213Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk 2025-03-21T20:25:15.1641595Z copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk 2025-03-21T20:25:15.1642732Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:15.1644196Z 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 2025-03-21T20:25:15.1645958Z 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 2025-03-21T20:25:15.1647756Z 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 2025-03-21T20:25:15.1649437Z 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 2025-03-21T20:25:15.1651125Z 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 2025-03-21T20:25:15.1652741Z 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 2025-03-21T20:25:15.1654408Z 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 2025-03-21T20:25:15.1655833Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-03-21T20:25:15.1657320Z 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 2025-03-21T20:25:15.1658849Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-03-21T20:25:15.1660691Z 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 2025-03-21T20:25:15.1662142Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1663023Z copying backends/xnnpack/_passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1664182Z copying backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1665599Z copying backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1666994Z copying backends/xnnpack/_passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1668201Z copying backends/xnnpack/_passes/convert_to_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1669386Z copying backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1670570Z copying backends/xnnpack/_passes/decompose_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1671849Z copying backends/xnnpack/_passes/fuse_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1673108Z copying backends/xnnpack/_passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1674417Z copying backends/xnnpack/_passes/prelu_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1675564Z copying backends/xnnpack/_passes/remove_getitem_op.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1677027Z copying backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1678172Z copying backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes 2025-03-21T20:25:15.1679099Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1680026Z copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1681154Z copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1682339Z copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1683540Z copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1684654Z copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1685814Z copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1686957Z copying backends/xnnpack/operators/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1688230Z copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1689347Z copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1690481Z copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1691618Z copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1692730Z copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1694061Z copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1695339Z copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1983324Z copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1984673Z copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1985833Z copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1986992Z copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1988185Z copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1989332Z copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1990534Z copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1991889Z copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1993229Z copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1994460Z copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1995601Z copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1996729Z copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1997874Z copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.1999160Z copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2000294Z copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2001427Z copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2002577Z copying backends/xnnpack/operators/op_quant_dequant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2003726Z copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2005044Z copying backends/xnnpack/operators/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2006143Z copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2007271Z copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2008400Z copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2009593Z copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2010843Z copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2011983Z copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2013135Z copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2014285Z copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2015519Z copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2016904Z copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2018184Z copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2019302Z copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2020455Z copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators 2025-03-21T20:25:15.2021840Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition 2025-03-21T20:25:15.2022848Z copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition 2025-03-21T20:25:15.2024221Z copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition 2025-03-21T20:25:15.2025384Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer 2025-03-21T20:25:15.2026629Z copying backends/xnnpack/quantizer/xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer 2025-03-21T20:25:15.2028027Z copying backends/xnnpack/quantizer/xnnpack_quantizer_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/quantizer 2025-03-21T20:25:15.2029139Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-03-21T20:25:15.2030367Z copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-03-21T20:25:15.2031867Z copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-03-21T20:25:15.2033270Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test 2025-03-21T20:25:15.2034349Z copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test 2025-03-21T20:25:15.2035563Z copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test 2025-03-21T20:25:15.2036693Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party 2025-03-21T20:25:15.2037835Z copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party 2025-03-21T20:25:15.2039144Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-03-21T20:25:15.2040104Z copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-03-21T20:25:15.2041319Z copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-03-21T20:25:15.2042445Z copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-03-21T20:25:15.2043683Z copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils 2025-03-21T20:25:15.2044722Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:15.2045871Z copying backends/xnnpack/partition/config/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:15.2047430Z copying backends/xnnpack/partition/config/gemm_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:15.2048936Z copying backends/xnnpack/partition/config/generic_node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:15.2050459Z copying backends/xnnpack/partition/config/node_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:15.2052106Z copying backends/xnnpack/partition/config/quant_affine_configs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:15.2053548Z copying backends/xnnpack/partition/config/xnnpack_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:15.2054688Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs 2025-03-21T20:25:15.2055916Z copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs 2025-03-21T20:25:15.2057338Z copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/graphs 2025-03-21T20:25:15.2058409Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2059439Z copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2060761Z copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2350463Z copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2351894Z copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2353208Z copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2354433Z copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2355729Z copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2357011Z copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2358219Z copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2359418Z copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2360609Z copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2361842Z copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2363090Z copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/models 2025-03-21T20:25:15.2364023Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2364955Z copying backends/xnnpack/test/ops/test_abs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2366061Z copying backends/xnnpack/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2367405Z copying backends/xnnpack/test/ops/test_avgpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2368661Z copying backends/xnnpack/test/ops/test_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2369845Z copying backends/xnnpack/test/ops/test_bmm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2371062Z copying backends/xnnpack/test/ops/test_cat.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2372360Z copying backends/xnnpack/test/ops/test_ceil.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2373574Z copying backends/xnnpack/test/ops/test_check_quant_params.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2374823Z copying backends/xnnpack/test/ops/test_clamp.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2376275Z copying backends/xnnpack/test/ops/test_conv1d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2377414Z copying backends/xnnpack/test/ops/test_conv2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2378743Z copying backends/xnnpack/test/ops/test_div.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2379844Z copying backends/xnnpack/test/ops/test_elu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2381182Z copying backends/xnnpack/test/ops/test_floor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2382423Z copying backends/xnnpack/test/ops/test_hardswish.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2383718Z copying backends/xnnpack/test/ops/test_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2384874Z copying backends/xnnpack/test/ops/test_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2386164Z copying backends/xnnpack/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2387323Z copying backends/xnnpack/test/ops/test_lstm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2388439Z copying backends/xnnpack/test/ops/test_max_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2389571Z copying backends/xnnpack/test/ops/test_maximum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2390722Z copying backends/xnnpack/test/ops/test_maxpool2d.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2391879Z copying backends/xnnpack/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2393306Z copying backends/xnnpack/test/ops/test_minimum.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2394461Z copying backends/xnnpack/test/ops/test_multiply.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2395817Z copying backends/xnnpack/test/ops/test_negate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2397006Z copying backends/xnnpack/test/ops/test_permute.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2398122Z copying backends/xnnpack/test/ops/test_pow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2399231Z copying backends/xnnpack/test/ops/test_prelu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2400435Z copying backends/xnnpack/test/ops/test_quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2401730Z copying backends/xnnpack/test/ops/test_relu.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2402848Z copying backends/xnnpack/test/ops/test_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2404158Z copying backends/xnnpack/test/ops/test_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2405333Z copying backends/xnnpack/test/ops/test_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2406492Z copying backends/xnnpack/test/ops/test_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2407755Z copying backends/xnnpack/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2409009Z copying backends/xnnpack/test/ops/test_sqrt.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2410191Z copying backends/xnnpack/test/ops/test_square.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2411376Z copying backends/xnnpack/test/ops/test_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2412732Z copying backends/xnnpack/test/ops/test_sub.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:15.2413749Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:15.2415017Z copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:15.2416394Z copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:15.2417940Z copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:15.2419610Z copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:15.2421000Z copying backends/xnnpack/test/passes/test_decompose_cat_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:15.2422298Z copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:15.2423607Z 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 2025-03-21T20:25:15.2424649Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-03-21T20:25:15.2425730Z copying backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-03-21T20:25:15.2548478Z copying backends/xnnpack/test/quantizer/test_representation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-03-21T20:25:15.2550102Z copying backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer 2025-03-21T20:25:15.2551299Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization 2025-03-21T20:25:15.2552687Z copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization 2025-03-21T20:25:15.2554295Z copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization 2025-03-21T20:25:15.2555457Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester 2025-03-21T20:25:15.2556509Z copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester 2025-03-21T20:25:15.2557698Z copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester 2025-03-21T20:25:15.2558773Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16 2025-03-21T20:25:15.2559836Z copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16 2025-03-21T20:25:15.2560987Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv 2025-03-21T20:25:15.2562218Z copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv 2025-03-21T20:25:15.2563308Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo 2025-03-21T20:25:15.2564565Z copying backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo 2025-03-21T20:25:15.2565735Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool 2025-03-21T20:25:15.2567128Z copying backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool 2025-03-21T20:25:15.2568344Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-03-21T20:25:15.2569590Z copying backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-03-21T20:25:15.2571204Z 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 2025-03-21T20:25:15.2572713Z 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 2025-03-21T20:25:15.2573948Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-03-21T20:25:15.2575200Z copying backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-03-21T20:25:15.2576443Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:15.2577680Z copying backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:15.2579254Z copying backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:15.2580928Z 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 2025-03-21T20:25:15.2582584Z 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 2025-03-21T20:25:15.2583836Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:15.2585211Z 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 2025-03-21T20:25:15.2586851Z 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 2025-03-21T20:25:15.2588492Z 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 2025-03-21T20:25:15.2590185Z 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 2025-03-21T20:25:15.2591879Z 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 2025-03-21T20:25:15.2593650Z 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 2025-03-21T20:25:15.2595441Z 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 2025-03-21T20:25:15.2597146Z 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 2025-03-21T20:25:15.2598811Z 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 2025-03-21T20:25:15.2600440Z 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 2025-03-21T20:25:15.2602036Z 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 2025-03-21T20:25:15.2603687Z 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 2025-03-21T20:25:15.2605378Z 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 2025-03-21T20:25:15.2607102Z 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 2025-03-21T20:25:15.2608814Z 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 2025-03-21T20:25:15.2610509Z 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 2025-03-21T20:25:15.2612121Z 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 2025-03-21T20:25:15.2613725Z 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 2025-03-21T20:25:15.2615323Z 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 2025-03-21T20:25:15.2616960Z 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 2025-03-21T20:25:15.2618652Z 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 2025-03-21T20:25:15.2620371Z 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 2025-03-21T20:25:15.2622019Z 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 2025-03-21T20:25:15.2623551Z copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:15.2625060Z 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 2025-03-21T20:25:15.3114878Z copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:15.3116636Z copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:15.3117847Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-03-21T20:25:15.3119355Z 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 2025-03-21T20:25:15.3121045Z 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 2025-03-21T20:25:15.3122715Z 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 2025-03-21T20:25:15.3124018Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-03-21T20:25:15.3125404Z 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 2025-03-21T20:25:15.3126494Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen 2025-03-21T20:25:15.3127143Z copying codegen/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen 2025-03-21T20:25:15.3127807Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3128546Z copying codegen/tools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3129427Z copying codegen/tools/gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3130395Z copying codegen/tools/gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3131283Z copying codegen/tools/gen_ops_def.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3132225Z copying codegen/tools/gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3133153Z copying codegen/tools/merge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3134021Z copying codegen/tools/yaml_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools 2025-03-21T20:25:15.3134787Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-03-21T20:25:15.3135648Z copying codegen/tools/test/test_gen_all_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-03-21T20:25:15.3136678Z copying codegen/tools/test/test_gen_oplist.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-03-21T20:25:15.3137844Z copying codegen/tools/test/test_gen_oplist_real_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-03-21T20:25:15.3138972Z copying codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test 2025-03-21T20:25:15.3139898Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-03-21T20:25:15.3140854Z copying examples/apple/coreml/llama/export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-03-21T20:25:15.3142055Z copying examples/apple/coreml/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-03-21T20:25:15.3143235Z copying examples/apple/coreml/llama/run.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-03-21T20:25:15.3144348Z copying examples/apple/coreml/llama/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-03-21T20:25:15.3145469Z copying examples/apple/coreml/llama/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama 2025-03-21T20:25:15.3146477Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:15.3147379Z copying examples/llm_pte_finetuning/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:15.3148673Z copying examples/llm_pte_finetuning/model_exporter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:15.3149958Z copying examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:15.3151099Z copying examples/llm_pte_finetuning/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:15.3152226Z copying examples/llm_pte_finetuning/training_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:15.3153239Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-03-21T20:25:15.3154006Z copying examples/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-03-21T20:25:15.3154903Z copying examples/models/checkpoint.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-03-21T20:25:15.3155843Z copying examples/models/model_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-03-21T20:25:15.3156882Z copying examples/models/model_factory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models 2025-03-21T20:25:15.3157736Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3 2025-03-21T20:25:15.3158755Z copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3 2025-03-21T20:25:15.3159841Z copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3 2025-03-21T20:25:15.3160730Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr 2025-03-21T20:25:15.3161629Z copying examples/models/edsr/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr 2025-03-21T20:25:15.3162602Z copying examples/models/edsr/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr 2025-03-21T20:25:15.3163481Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam 2025-03-21T20:25:15.3164505Z copying examples/models/efficient_sam/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam 2025-03-21T20:25:15.3165680Z copying examples/models/efficient_sam/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam 2025-03-21T20:25:15.3166843Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt 2025-03-21T20:25:15.3167795Z copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt 2025-03-21T20:25:15.3168946Z copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt 2025-03-21T20:25:15.3169899Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3 2025-03-21T20:25:15.3170846Z copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3 2025-03-21T20:25:15.3172087Z copying examples/models/inception_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3 2025-03-21T20:25:15.3173022Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4 2025-03-21T20:25:15.3173961Z copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4 2025-03-21T20:25:15.3175086Z copying examples/models/inception_v4/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4 2025-03-21T20:25:15.3176121Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3177073Z copying examples/models/llama/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3178194Z copying examples/models/llama/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3179242Z copying examples/models/llama/eval_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3180298Z copying examples/models/llama/eval_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3181362Z copying examples/models/llama/export_llama.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3182426Z copying examples/models/llama/export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3183499Z copying examples/models/llama/fairseq2.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3184625Z copying examples/models/llama/install_requirement_helper.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3185859Z copying examples/models/llama/llama_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3187048Z copying examples/models/llama/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3459991Z copying examples/models/llama/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3461199Z copying examples/models/llama/model_args.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3462229Z copying examples/models/llama/norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3463200Z copying examples/models/llama/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3464278Z copying examples/models/llama/static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama 2025-03-21T20:25:15.3465233Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision 2025-03-21T20:25:15.3466326Z copying examples/models/llama3_2_vision/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision 2025-03-21T20:25:15.3467530Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-03-21T20:25:15.3468547Z copying examples/models/llava/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-03-21T20:25:15.3469715Z copying examples/models/llava/export_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-03-21T20:25:15.3470783Z copying examples/models/llava/image_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-03-21T20:25:15.3471785Z copying examples/models/llava/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava 2025-03-21T20:25:15.3472708Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm 2025-03-21T20:25:15.3473544Z copying examples/models/lstm/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm 2025-03-21T20:25:15.3474609Z copying examples/models/lstm/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm 2025-03-21T20:25:15.3475548Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert 2025-03-21T20:25:15.3476528Z copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert 2025-03-21T20:25:15.3477798Z copying examples/models/mobilebert/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert 2025-03-21T20:25:15.3478719Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2 2025-03-21T20:25:15.3479741Z copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2 2025-03-21T20:25:15.3480963Z copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2 2025-03-21T20:25:15.3481957Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3 2025-03-21T20:25:15.3482969Z copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3 2025-03-21T20:25:15.3484081Z copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3 2025-03-21T20:25:15.3507009Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora 2025-03-21T20:25:15.3508197Z 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 2025-03-21T20:25:15.3509184Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-03-21T20:25:15.3510095Z copying examples/models/phi-3-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-03-21T20:25:15.3511153Z copying examples/models/phi-3-mini/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-03-21T20:25:15.3512267Z 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 2025-03-21T20:25:15.3513602Z copying examples/models/phi-3-mini/phi_3_mini.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-03-21T20:25:15.3514846Z copying examples/models/phi-3-mini/static_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini 2025-03-21T20:25:15.3515779Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini 2025-03-21T20:25:15.3516698Z copying examples/models/phi-4-mini/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini 2025-03-21T20:25:15.3517824Z copying examples/models/phi-4-mini/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini 2025-03-21T20:25:15.3518774Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5 2025-03-21T20:25:15.3519746Z copying examples/models/qwen2_5/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5 2025-03-21T20:25:15.3520931Z copying examples/models/qwen2_5/convert_weights.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5 2025-03-21T20:25:15.3521839Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet 2025-03-21T20:25:15.3522711Z copying examples/models/resnet/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet 2025-03-21T20:25:15.3523739Z copying examples/models/resnet/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet 2025-03-21T20:25:15.3524604Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test 2025-03-21T20:25:15.3525436Z copying examples/models/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test 2025-03-21T20:25:15.3526669Z copying examples/models/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test 2025-03-21T20:25:15.3527659Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit 2025-03-21T20:25:15.3528648Z copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit 2025-03-21T20:25:15.3529964Z copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit 2025-03-21T20:25:15.3530929Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model 2025-03-21T20:25:15.3531880Z copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model 2025-03-21T20:25:15.3533115Z copying examples/models/toy_model/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model 2025-03-21T20:25:15.3534086Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter 2025-03-21T20:25:15.3535009Z copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter 2025-03-21T20:25:15.3536104Z copying examples/models/wav2letter/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter 2025-03-21T20:25:15.3537135Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:15.3538449Z 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 2025-03-21T20:25:15.3540091Z 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 2025-03-21T20:25:15.3541951Z 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 2025-03-21T20:25:15.3543632Z 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 2025-03-21T20:25:15.3545227Z 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 2025-03-21T20:25:15.3546927Z 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 2025-03-21T20:25:15.3548260Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate 2025-03-21T20:25:15.3549236Z copying examples/models/llama/evaluate/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate 2025-03-21T20:25:15.3550447Z copying examples/models/llama/evaluate/eager_eval.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate 2025-03-21T20:25:15.3551484Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-03-21T20:25:15.3552799Z copying examples/models/llama/experimental/generate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-03-21T20:25:15.3554259Z copying examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-03-21T20:25:15.3555615Z copying examples/models/llama/experimental/subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-03-21T20:25:15.3780002Z copying examples/models/llama/experimental/test_subclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental 2025-03-21T20:25:15.3781124Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-03-21T20:25:15.3782083Z copying examples/models/llama/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-03-21T20:25:15.3783258Z copying examples/models/llama/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-03-21T20:25:15.3784957Z copying examples/models/llama/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner 2025-03-21T20:25:15.3786011Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3787296Z copying examples/models/llama/source_transformation/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3788816Z 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 2025-03-21T20:25:15.3790683Z copying examples/models/llama/source_transformation/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3792205Z copying examples/models/llama/source_transformation/attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3793798Z copying examples/models/llama/source_transformation/lora.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3795291Z copying examples/models/llama/source_transformation/pre_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3797109Z copying examples/models/llama/source_transformation/prune_vocab.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3798607Z copying examples/models/llama/source_transformation/quantize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3800129Z copying examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3801892Z copying examples/models/llama/source_transformation/rms_norm.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3803352Z copying examples/models/llama/source_transformation/rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3804787Z copying examples/models/llama/source_transformation/sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3806257Z copying examples/models/llama/source_transformation/spin_quant.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3808179Z copying examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3809768Z 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 2025-03-21T20:25:15.3811407Z 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 2025-03-21T20:25:15.3813229Z copying examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:15.3814393Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-03-21T20:25:15.3815461Z copying examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-03-21T20:25:15.3816751Z copying examples/models/llama/tests/test_simple_sdpa.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-03-21T20:25:15.3818273Z copying examples/models/llama/tests/test_static_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests 2025-03-21T20:25:15.3819424Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer 2025-03-21T20:25:15.3820505Z copying examples/models/llama/tokenizer/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer 2025-03-21T20:25:15.3821592Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:15.3822760Z copying examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:15.3824404Z 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 2025-03-21T20:25:15.3825884Z copying examples/models/llama3_2_vision/preprocess/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:15.3827353Z 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 2025-03-21T20:25:15.3828549Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:15.3829644Z copying examples/models/llama3_2_vision/runner/eager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:15.3830972Z copying examples/models/llama3_2_vision/runner/exported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:15.3832348Z copying examples/models/llama3_2_vision/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:15.3833812Z copying examples/models/llama3_2_vision/runner/native.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:15.3834949Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder 2025-03-21T20:25:15.3836137Z 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 2025-03-21T20:25:15.3837313Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder 2025-03-21T20:25:15.3838621Z 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 2025-03-21T20:25:15.3840193Z 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 2025-03-21T20:25:15.3841421Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-03-21T20:25:15.3842679Z 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 2025-03-21T20:25:15.3844502Z 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 2025-03-21T20:25:15.3845818Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-03-21T20:25:15.3847105Z 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 2025-03-21T20:25:15.3848734Z 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 2025-03-21T20:25:15.3850053Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test 2025-03-21T20:25:15.3851005Z copying examples/models/llava/test/test_llava.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test 2025-03-21T20:25:15.3852222Z copying examples/models/llava/test/test_pte.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test 2025-03-21T20:25:15.3853160Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi 2025-03-21T20:25:15.3854100Z copying examples/models/moshi/mimi/test_mimi.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi 2025-03-21T20:25:15.3854954Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.3855557Z copying exir/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.3856251Z copying exir/_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4303886Z copying exir/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4305061Z copying exir/control_flow.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4305798Z copying exir/delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4306525Z copying exir/dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4307268Z copying exir/dynamic_shape.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4307963Z copying exir/error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4308693Z copying exir/graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4309515Z copying exir/graph_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4310339Z copying exir/lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4311083Z copying exir/memory.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4311793Z copying exir/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4312508Z copying exir/pass_base.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4313358Z copying exir/pass_manager.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4314077Z copying exir/print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4314805Z copying exir/scalar_type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4315497Z copying exir/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4316169Z copying exir/sym_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4316853Z copying exir/tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4317527Z copying exir/tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4318182Z copying exir/types.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4318860Z copying exir/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4319527Z copying exir/wrap.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:15.4320173Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4320989Z copying exir/_serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4321988Z copying exir/_serialize/_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4322837Z copying exir/_serialize/_dataclass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4323911Z copying exir/_serialize/_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4324836Z copying exir/_serialize/_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4325821Z copying exir/_serialize/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4326707Z copying exir/_serialize/_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4327712Z copying exir/_serialize/data_serializer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4328699Z copying exir/_serialize/padding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:15.4329441Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-03-21T20:25:15.4330186Z copying exir/backend/backend_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-03-21T20:25:15.4331082Z copying exir/backend/backend_details.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-03-21T20:25:15.4332015Z copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-03-21T20:25:15.4332963Z copying exir/backend/operator_support.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-03-21T20:25:15.4333923Z copying exir/backend/partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-03-21T20:25:15.4334877Z copying exir/backend/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend 2025-03-21T20:25:15.4335599Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-03-21T20:25:15.4336318Z copying exir/capture/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-03-21T20:25:15.4337145Z copying exir/capture/_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-03-21T20:25:15.4337973Z copying exir/capture/_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-03-21T20:25:15.4338789Z copying exir/capture/_unlift.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture 2025-03-21T20:25:15.4339503Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects 2025-03-21T20:25:15.4340237Z copying exir/dialects/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects 2025-03-21T20:25:15.4341058Z copying exir/dialects/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects 2025-03-21T20:25:15.4341818Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-03-21T20:25:15.4342607Z copying exir/emit/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-03-21T20:25:15.4343424Z copying exir/emit/_emit_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-03-21T20:25:15.4344329Z copying exir/emit/_emitter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit 2025-03-21T20:25:15.4345028Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-03-21T20:25:15.4345770Z copying exir/operator/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-03-21T20:25:15.4346606Z copying exir/operator/manip.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-03-21T20:25:15.4347431Z copying exir/operator/util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator 2025-03-21T20:25:15.4348149Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4348842Z copying exir/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4349959Z copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4350935Z copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4351938Z copying exir/passes/constant_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4353004Z copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4354046Z copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4355118Z copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4356229Z copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4357233Z copying exir/passes/external_constants_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4358176Z copying exir/passes/init_mutable_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4359162Z copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4360165Z copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4361116Z copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4362082Z copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4363078Z copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4364028Z copying exir/passes/pass_registry.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4365018Z copying exir/passes/prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4365964Z copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4367085Z copying exir/passes/quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4368049Z copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4369051Z copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4370208Z copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4371161Z copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4372311Z copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4373511Z copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4374635Z copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4375717Z copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4838545Z copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4839650Z copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4840651Z copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4841560Z copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4842487Z copying exir/passes/weights_to_outputs_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes 2025-03-21T20:25:15.4843538Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-03-21T20:25:15.4844407Z copying exir/program/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-03-21T20:25:15.4845362Z copying exir/program/_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-03-21T20:25:15.4846229Z copying exir/program/_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program 2025-03-21T20:25:15.4846981Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4847676Z copying exir/serde/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4848502Z copying exir/serde/export_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4849394Z copying exir/serde/schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4850289Z copying exir/serde/schema_check.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4851110Z copying exir/serde/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4851901Z copying exir/serde/union.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4852690Z copying exir/serde/upgrade.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde 2025-03-21T20:25:15.4853393Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4854093Z copying exir/tests/asr_joiner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4855044Z copying exir/tests/common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4855894Z copying exir/tests/control_flow_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4856811Z copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4857667Z copying exir/tests/models.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4858511Z copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4859377Z copying exir/tests/test_capture.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4860194Z copying exir/tests/test_common.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4861029Z copying exir/tests/test_delegate.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4861900Z copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4862856Z copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4863772Z copying exir/tests/test_error.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4864612Z copying exir/tests/test_joint_graph.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4865526Z copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4866493Z copying exir/tests/test_memory_format_ops_pass_aten.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4867737Z copying exir/tests/test_memory_format_ops_pass_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4868709Z copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4869600Z copying exir/tests/test_op_convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4870609Z copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4871514Z copying exir/tests/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4872491Z copying exir/tests/test_print_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4873616Z copying exir/tests/test_prune_empty_tensors_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4874581Z copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4875492Z copying exir/tests/test_quantization.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4876397Z copying exir/tests/test_quantize_io_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4877369Z copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4878345Z copying exir/tests/test_serde.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4879135Z copying exir/tests/test_tensor.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4879976Z copying exir/tests/test_tracer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4880900Z copying exir/tests/test_verification.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4881764Z copying exir/tests/test_warnings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4882601Z copying exir/tests/transformer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests 2025-03-21T20:25:15.4883457Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-03-21T20:25:15.4884390Z copying exir/verification/arg_validator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-03-21T20:25:15.4885357Z copying exir/verification/dev_html.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-03-21T20:25:15.4886317Z copying exir/verification/interpreter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-03-21T20:25:15.4887293Z copying exir/verification/verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification 2025-03-21T20:25:15.4888108Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-03-21T20:25:15.4888916Z copying exir/_serialize/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-03-21T20:25:15.4889869Z copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-03-21T20:25:15.4891028Z copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-03-21T20:25:15.4892153Z copying exir/_serialize/test/test_named_data_store.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-03-21T20:25:15.4893358Z copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test 2025-03-21T20:25:15.4894285Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-03-21T20:25:15.4895424Z copying exir/backend/canonical_partitioners/config_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-03-21T20:25:15.4896876Z copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-03-21T20:25:15.4898595Z copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-03-21T20:25:15.4900058Z copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/canonical_partitioners 2025-03-21T20:25:15.4901197Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4902088Z copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4903295Z copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4904443Z copying exir/backend/test/backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4905520Z copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4906745Z copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4907812Z copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4909082Z copying exir/backend/test/test_backend_with_named_data_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4910146Z copying exir/backend/test/test_backends.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.4911163Z copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5275243Z copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5276605Z copying exir/backend/test/test_compatibility.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5277657Z copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5278735Z copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5279797Z copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5280867Z copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5281932Z copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5282926Z copying exir/backend/test/test_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5283880Z copying exir/backend/test/test_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test 2025-03-21T20:25:15.5284712Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos 2025-03-21T20:25:15.5285671Z copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos 2025-03-21T20:25:15.5286858Z copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos 2025-03-21T20:25:15.5288090Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-03-21T20:25:15.5289229Z copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-03-21T20:25:15.5290936Z copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-03-21T20:25:15.5292485Z copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/test/demos/rpc 2025-03-21T20:25:15.5293450Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend 2025-03-21T20:25:15.5294434Z copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend 2025-03-21T20:25:15.5295250Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge 2025-03-21T20:25:15.5296022Z copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge 2025-03-21T20:25:15.5296888Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test 2025-03-21T20:25:15.5297759Z copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/test 2025-03-21T20:25:15.5298663Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test 2025-03-21T20:25:15.5299828Z copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/backend/test 2025-03-21T20:25:15.5301029Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg 2025-03-21T20:25:15.5301890Z copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg 2025-03-21T20:25:15.5302901Z copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/arg 2025-03-21T20:25:15.5303763Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-03-21T20:25:15.5304663Z copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-03-21T20:25:15.5305762Z copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-03-21T20:25:15.5307116Z copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/dtype 2025-03-21T20:25:15.5308078Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op 2025-03-21T20:25:15.5308900Z copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op 2025-03-21T20:25:15.5309907Z copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op 2025-03-21T20:25:15.5310793Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec 2025-03-21T20:25:15.5311662Z copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec 2025-03-21T20:25:15.5312899Z copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/spec 2025-03-21T20:25:15.5314001Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test 2025-03-21T20:25:15.5314907Z copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test 2025-03-21T20:25:15.5315994Z copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/test 2025-03-21T20:25:15.5316921Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test 2025-03-21T20:25:15.5317854Z copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge/op/test 2025-03-21T20:25:15.5319006Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test 2025-03-21T20:25:15.5319843Z copying exir/emit/test/test_emit.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/test 2025-03-21T20:25:15.5320617Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test 2025-03-21T20:25:15.5321443Z copying exir/operator/test/test_operator.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/test 2025-03-21T20:25:15.5322280Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-03-21T20:25:15.5323063Z copying exir/program/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-03-21T20:25:15.5324135Z copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-03-21T20:25:15.5325370Z copying exir/program/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/test 2025-03-21T20:25:15.5326403Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test 2025-03-21T20:25:15.5327314Z copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/test 2025-03-21T20:25:15.5328194Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test 2025-03-21T20:25:15.5329064Z copying extension/android_test/add_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/android_test 2025-03-21T20:25:15.5329922Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util 2025-03-21T20:25:15.5330758Z copying extension/export_util/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util 2025-03-21T20:25:15.5331735Z copying extension/export_util/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/export_util 2025-03-21T20:25:15.5332563Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor 2025-03-21T20:25:15.5333660Z copying extension/flat_tensor/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor 2025-03-21T20:25:15.5334569Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-03-21T20:25:15.5335404Z copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-03-21T20:25:15.5336384Z copying extension/gguf_util/converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-03-21T20:25:15.5337343Z copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util 2025-03-21T20:25:15.5338167Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2025-03-21T20:25:15.5339040Z copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2025-03-21T20:25:15.5339881Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree 2025-03-21T20:25:15.5340658Z copying extension/pytree/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree 2025-03-21T20:25:15.5341444Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training 2025-03-21T20:25:15.5342519Z copying extension/training/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training 2025-03-21T20:25:15.5343555Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-03-21T20:25:15.5344795Z copying extension/flat_tensor/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-03-21T20:25:15.5346023Z copying extension/flat_tensor/serialize/flat_tensor_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-03-21T20:25:15.5347293Z copying extension/flat_tensor/serialize/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-03-21T20:25:15.5348288Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test 2025-03-21T20:25:15.5349251Z copying extension/flat_tensor/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/test 2025-03-21T20:25:15.5676570Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters 2025-03-21T20:25:15.5677716Z copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/gguf_util/converters 2025-03-21T20:25:15.5678716Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5679781Z copying extension/llm/custom_ops/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5680853Z copying extension/llm/custom_ops/custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5682048Z copying extension/llm/custom_ops/model_sharding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5683173Z copying extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5684537Z copying extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5685968Z copying extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5687363Z copying extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5688635Z copying extension/llm/custom_ops/test_update_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops 2025-03-21T20:25:15.5689559Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-03-21T20:25:15.5690633Z copying extension/llm/export/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-03-21T20:25:15.5691709Z copying extension/llm/export/builder.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-03-21T20:25:15.5692898Z copying extension/llm/export/export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-03-21T20:25:15.5694345Z copying extension/llm/export/partitioner_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-03-21T20:25:15.5695521Z copying extension/llm/export/quantizer_lib.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-03-21T20:25:15.5696792Z copying extension/llm/export/test_export_passes.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export 2025-03-21T20:25:15.5697749Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-03-21T20:25:15.5698710Z copying extension/llm/modules/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-03-21T20:25:15.5700060Z copying extension/llm/modules/_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-03-21T20:25:15.5701155Z copying extension/llm/modules/attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-03-21T20:25:15.5702436Z copying extension/llm/modules/kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules 2025-03-21T20:25:15.5703355Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer 2025-03-21T20:25:15.5704242Z copying extension/llm/tokenizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer 2025-03-21T20:25:15.5705361Z copying extension/llm/tokenizer/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer 2025-03-21T20:25:15.5706827Z copying extension/llm/tokenizer/tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer 2025-03-21T20:25:15.5707906Z copying extension/llm/tokenizer/utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer 2025-03-21T20:25:15.5709015Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers 2025-03-21T20:25:15.5709986Z copying extension/llm/tokenizers/setup.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers 2025-03-21T20:25:15.5710937Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant 2025-03-21T20:25:15.5712319Z 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 2025-03-21T20:25:15.5713839Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-03-21T20:25:15.5715399Z 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 2025-03-21T20:25:15.5717219Z 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 2025-03-21T20:25:15.5718575Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-03-21T20:25:15.5719560Z copying extension/llm/modules/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-03-21T20:25:15.5720701Z copying extension/llm/modules/test/test_attention.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-03-21T20:25:15.5722066Z copying extension/llm/modules/test/test_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-03-21T20:25:15.5723296Z copying extension/llm/modules/test/test_position_embeddings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test 2025-03-21T20:25:15.5724309Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test 2025-03-21T20:25:15.5725514Z copying extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test 2025-03-21T20:25:15.5726600Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:15.5728060Z copying extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:15.5729644Z copying extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:15.5731396Z copying extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:15.5733104Z copying extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:15.5734488Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-03-21T20:25:15.5736019Z 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 2025-03-21T20:25:15.5738039Z 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 2025-03-21T20:25:15.5739569Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-03-21T20:25:15.5741048Z 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 2025-03-21T20:25:15.5742684Z 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 2025-03-21T20:25:15.5744054Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-03-21T20:25:15.5745472Z 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 2025-03-21T20:25:15.5747332Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-03-21T20:25:15.5749052Z 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 2025-03-21T20:25:15.5750901Z 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 2025-03-21T20:25:15.5752409Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-03-21T20:25:15.5754071Z 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 2025-03-21T20:25:15.5755866Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-03-21T20:25:15.5925249Z 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 2025-03-21T20:25:15.5927224Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-03-21T20:25:15.5928906Z 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 2025-03-21T20:25:15.5930672Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-03-21T20:25:15.5932359Z 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 2025-03-21T20:25:15.5933945Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-03-21T20:25:15.5935650Z 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 2025-03-21T20:25:15.5937257Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-03-21T20:25:15.5938890Z 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 2025-03-21T20:25:15.5940430Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-03-21T20:25:15.5941930Z 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 2025-03-21T20:25:15.5943239Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python 2025-03-21T20:25:15.5944568Z 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 2025-03-21T20:25:15.5946234Z 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 2025-03-21T20:25:15.5947817Z 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 2025-03-21T20:25:15.5949201Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-03-21T20:25:15.5950820Z 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 2025-03-21T20:25:15.5952785Z 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 2025-03-21T20:25:15.5954545Z 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 2025-03-21T20:25:15.5955949Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-03-21T20:25:15.5957564Z 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 2025-03-21T20:25:15.5959092Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-03-21T20:25:15.5960678Z 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 2025-03-21T20:25:15.5962157Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-03-21T20:25:15.5963810Z 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 2025-03-21T20:25:15.5966017Z 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 2025-03-21T20:25:15.5968014Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-03-21T20:25:15.5969878Z 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 2025-03-21T20:25:15.5972372Z 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 2025-03-21T20:25:15.5974737Z 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 2025-03-21T20:25:15.5977240Z 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 2025-03-21T20:25:15.5979005Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c 2025-03-21T20:25:15.5980274Z copying extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c 2025-03-21T20:25:15.5981400Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-03-21T20:25:15.5982433Z copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-03-21T20:25:15.5983744Z copying extension/pybindings/test/test_backend_pybinding.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-03-21T20:25:15.5985064Z copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test 2025-03-21T20:25:15.5986164Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test 2025-03-21T20:25:15.5987123Z copying extension/pytree/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test 2025-03-21T20:25:15.5987996Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings 2025-03-21T20:25:15.5989157Z copying extension/training/pybindings/_training_module.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings 2025-03-21T20:25:15.5990188Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR 2025-03-21T20:25:15.5991373Z copying extension/training/examples/XOR/export_model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR 2025-03-21T20:25:15.5992750Z copying extension/training/examples/XOR/model.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR 2025-03-21T20:25:15.5993929Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test 2025-03-21T20:25:15.5995045Z copying extension/training/examples/XOR/test/test_export.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test 2025-03-21T20:25:15.5996138Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test 2025-03-21T20:25:15.5997409Z copying extension/training/pybindings/test/test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test 2025-03-21T20:25:15.5998442Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized 2025-03-21T20:25:15.5999307Z copying kernels/quantized/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized 2025-03-21T20:25:15.6000119Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-03-21T20:25:15.6001134Z copying kernels/quantized/test/test_out_variants.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-03-21T20:25:15.6002317Z copying kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-03-21T20:25:15.6003213Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools 2025-03-21T20:25:15.6003880Z copying devtools/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools 2025-03-21T20:25:15.6004605Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug 2025-03-21T20:25:15.6005466Z copying devtools/backend_debug/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug 2025-03-21T20:25:15.6468122Z copying devtools/backend_debug/delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug 2025-03-21T20:25:15.6469384Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-03-21T20:25:15.6470292Z copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-03-21T20:25:15.6471338Z copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-03-21T20:25:15.6472378Z copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-03-21T20:25:15.6473410Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format 2025-03-21T20:25:15.6474273Z copying devtools/debug_format/base_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format 2025-03-21T20:25:15.6475462Z copying devtools/debug_format/et_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format 2025-03-21T20:25:15.6476311Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-03-21T20:25:15.6477119Z copying devtools/etdump/schema_flatcc.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-03-21T20:25:15.6478317Z copying devtools/etdump/serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-03-21T20:25:15.6479104Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord 2025-03-21T20:25:15.6479896Z copying devtools/etrecord/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord 2025-03-21T20:25:15.6480908Z copying devtools/etrecord/_etrecord.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord 2025-03-21T20:25:15.6481722Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-03-21T20:25:15.6482534Z copying devtools/inspector/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-03-21T20:25:15.6483501Z copying devtools/inspector/_inspector.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-03-21T20:25:15.6484513Z copying devtools/inspector/_inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-03-21T20:25:15.6485661Z copying devtools/inspector/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector 2025-03-21T20:25:15.6486573Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool 2025-03-21T20:25:15.6487547Z copying devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool 2025-03-21T20:25:15.6488759Z copying devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool 2025-03-21T20:25:15.6489726Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-03-21T20:25:15.6490597Z copying devtools/visualization/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-03-21T20:25:15.6491894Z copying devtools/visualization/visualization_utils.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-03-21T20:25:15.6493136Z copying devtools/visualization/visualization_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization 2025-03-21T20:25:15.6494306Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests 2025-03-21T20:25:15.6495321Z copying devtools/backend_debug/tests/test_delegation_info.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests 2025-03-21T20:25:15.6496335Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:15.6497318Z copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:15.6498569Z copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:15.6499650Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-03-21T20:25:15.6500680Z copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-03-21T20:25:15.6501683Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-03-21T20:25:15.6502681Z copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-03-21T20:25:15.6503884Z copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-03-21T20:25:15.6505071Z copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-03-21T20:25:15.6506050Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util 2025-03-21T20:25:15.6507109Z copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util 2025-03-21T20:25:15.6508097Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test 2025-03-21T20:25:15.6509310Z copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test 2025-03-21T20:25:15.6510419Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test 2025-03-21T20:25:15.6511581Z copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test 2025-03-21T20:25:15.6512765Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests 2025-03-21T20:25:15.6513669Z copying devtools/etdump/tests/serialize_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests 2025-03-21T20:25:15.6514579Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests 2025-03-21T20:25:15.6515484Z copying devtools/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests 2025-03-21T20:25:15.6516407Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-03-21T20:25:15.6517366Z copying devtools/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-03-21T20:25:15.6518535Z copying devtools/inspector/tests/inspector_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-03-21T20:25:15.6519721Z copying devtools/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests 2025-03-21T20:25:15.6520864Z copying devtools/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-03-21T20:25:15.6521910Z copying devtools/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-03-21T20:25:15.6522940Z copying devtools/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program 2025-03-21T20:25:15.6524076Z copying devtools/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:15.6525334Z copying devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:15.6526633Z copying devtools/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-03-21T20:25:15.6527878Z copying devtools/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-03-21T20:25:15.6529091Z copying devtools/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-03-21T20:25:15.6530289Z copying devtools/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test 2025-03-21T20:25:15.6531483Z copying devtools/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util 2025-03-21T20:25:15.6532718Z copying devtools/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test 2025-03-21T20:25:15.6534117Z copying devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test 2025-03-21T20:25:15.6535134Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime 2025-03-21T20:25:15.6535784Z copying runtime/__init__.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime 2025-03-21T20:25:15.6536540Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test 2025-03-21T20:25:15.6537430Z copying runtime/test/test_runtime.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test 2025-03-21T20:25:15.6538239Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-03-21T20:25:15.6539003Z copying util/activation_memory_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-03-21T20:25:15.6539802Z copying util/collect_env.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-03-21T20:25:15.6540541Z copying util/python_profiler.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/util 2025-03-21T20:25:15.6550839Z running egg_info 2025-03-21T20:25:16.4703626Z creating executorch.egg-info 2025-03-21T20:25:16.4704126Z writing executorch.egg-info/PKG-INFO 2025-03-21T20:25:16.4704643Z writing dependency_links to executorch.egg-info/dependency_links.txt 2025-03-21T20:25:16.4705236Z writing entry points to executorch.egg-info/entry_points.txt 2025-03-21T20:25:16.4705809Z writing requirements to executorch.egg-info/requires.txt 2025-03-21T20:25:16.4706345Z writing top-level names to executorch.egg-info/top_level.txt 2025-03-21T20:25:16.4706879Z writing manifest file 'executorch.egg-info/SOURCES.txt' 2025-03-21T20:25:16.4707392Z reading manifest file 'executorch.egg-info/SOURCES.txt' 2025-03-21T20:25:16.4707834Z adding license file 'LICENSE' 2025-03-21T20:25:16.4708271Z writing manifest file 'executorch.egg-info/SOURCES.txt' 2025-03-21T20:25:16.4709129Z copying backends/apple/coreml/executorchcoreml.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/coreml 2025-03-21T20:25:16.4710672Z copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/serialization 2025-03-21T20:25:16.4711896Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema 2025-03-21T20:25:16.4713276Z 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 2025-03-21T20:25:16.4714611Z copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:16.4715713Z copying backends/cadence/aot/functions_fusion_g3.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:16.4717022Z copying backends/cadence/aot/functions_hifi.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/aot 2025-03-21T20:25:16.4718306Z copying backends/qualcomm/serialization/qc_compiler_spec.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/serialization 2025-03-21T20:25:16.4719326Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir 2025-03-21T20:25:16.4720227Z copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/aot/ir 2025-03-21T20:25:16.4721371Z copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization 2025-03-21T20:25:16.4722413Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4723888Z 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 2025-03-21T20:25:16.4725504Z 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 2025-03-21T20:25:16.4727016Z 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 2025-03-21T20:25:16.4728483Z copying backends/vulkan/runtime/graph/ops/glsl/arange.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4730426Z 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 2025-03-21T20:25:16.4731880Z copying backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4733436Z 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 2025-03-21T20:25:16.4734988Z 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 2025-03-21T20:25:16.4736868Z 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 2025-03-21T20:25:16.4738397Z 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 2025-03-21T20:25:16.4739841Z copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4741240Z copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4742844Z copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4744274Z 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 2025-03-21T20:25:16.4745760Z 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 2025-03-21T20:25:16.4747330Z 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 2025-03-21T20:25:16.4749067Z 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 2025-03-21T20:25:16.4750722Z 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 2025-03-21T20:25:16.4752226Z 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 2025-03-21T20:25:16.4753790Z 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 2025-03-21T20:25:16.4755634Z 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 2025-03-21T20:25:16.4757309Z 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 2025-03-21T20:25:16.4758797Z 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 2025-03-21T20:25:16.4760295Z 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 2025-03-21T20:25:16.4762014Z copying backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4763443Z copying backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4764947Z copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4766911Z 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 2025-03-21T20:25:16.4768575Z 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 2025-03-21T20:25:16.4770051Z 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 2025-03-21T20:25:16.4771553Z 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 2025-03-21T20:25:16.4773271Z 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 2025-03-21T20:25:16.4774812Z 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 2025-03-21T20:25:16.4776303Z 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 2025-03-21T20:25:16.4777887Z 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 2025-03-21T20:25:16.4779787Z 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 2025-03-21T20:25:16.4781255Z 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 2025-03-21T20:25:16.4782681Z 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 2025-03-21T20:25:16.4964072Z 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 2025-03-21T20:25:16.4967104Z 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 2025-03-21T20:25:16.4969941Z copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4972688Z 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 2025-03-21T20:25:16.4975372Z 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 2025-03-21T20:25:16.4978187Z 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 2025-03-21T20:25:16.4980984Z copying backends/vulkan/runtime/graph/ops/glsl/reduce.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.4983779Z 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 2025-03-21T20:25:16.4986330Z 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 2025-03-21T20:25:16.4989015Z 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 2025-03-21T20:25:16.4992463Z 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 2025-03-21T20:25:16.4995791Z 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 2025-03-21T20:25:16.4998418Z 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 2025-03-21T20:25:16.5001300Z 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 2025-03-21T20:25:16.5004196Z 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 2025-03-21T20:25:16.5006683Z 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 2025-03-21T20:25:16.5009537Z 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 2025-03-21T20:25:16.5012354Z 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 2025-03-21T20:25:16.5015224Z 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 2025-03-21T20:25:16.5017882Z 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 2025-03-21T20:25:16.5020735Z copying backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.5023482Z 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 2025-03-21T20:25:16.5026337Z 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 2025-03-21T20:25:16.5029153Z copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.5031178Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl 2025-03-21T20:25:16.5033086Z copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl 2025-03-21T20:25:16.5034953Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.5037055Z copying backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.5039533Z copying backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.5042162Z copying backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.5044779Z copying backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.5047433Z copying backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.5050177Z copying backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.5052520Z copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-03-21T20:25:16.5054416Z copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/serialization 2025-03-21T20:25:16.5056888Z copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party 2025-03-21T20:25:16.5059174Z copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16 2025-03-21T20:25:16.5060859Z copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv 2025-03-21T20:25:16.5063273Z copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo 2025-03-21T20:25:16.5065731Z copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool 2025-03-21T20:25:16.5068740Z 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 2025-03-21T20:25:16.5071915Z 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 2025-03-21T20:25:16.5074265Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.5075682Z 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 2025-03-21T20:25:16.5077258Z 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 2025-03-21T20:25:16.5078990Z 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 2025-03-21T20:25:16.5080562Z 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 2025-03-21T20:25:16.5082452Z 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 2025-03-21T20:25:16.5084274Z 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 2025-03-21T20:25:16.5085829Z 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 2025-03-21T20:25:16.5087530Z 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 2025-03-21T20:25:16.5089089Z 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 2025-03-21T20:25:16.5090775Z 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 2025-03-21T20:25:16.5092339Z 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 2025-03-21T20:25:16.5094181Z 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 2025-03-21T20:25:16.5095751Z 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 2025-03-21T20:25:16.5097452Z 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 2025-03-21T20:25:16.5099045Z 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 2025-03-21T20:25:16.5100803Z 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 2025-03-21T20:25:16.5102669Z 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 2025-03-21T20:25:16.5104372Z 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 2025-03-21T20:25:16.5106242Z 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 2025-03-21T20:25:16.5107862Z 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 2025-03-21T20:25:16.5109688Z 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 2025-03-21T20:25:16.5111458Z 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 2025-03-21T20:25:16.5113253Z 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 2025-03-21T20:25:16.5115136Z 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 2025-03-21T20:25:16.5116659Z 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 2025-03-21T20:25:16.5118443Z 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 2025-03-21T20:25:16.5120070Z 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 2025-03-21T20:25:16.5121739Z 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 2025-03-21T20:25:16.5123285Z 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 2025-03-21T20:25:16.5125062Z 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 2025-03-21T20:25:16.5126602Z 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 2025-03-21T20:25:16.5128313Z 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 2025-03-21T20:25:16.5129942Z 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 2025-03-21T20:25:16.5131760Z 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 2025-03-21T20:25:16.5133430Z 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 2025-03-21T20:25:16.5135181Z 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 2025-03-21T20:25:16.5136766Z 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 2025-03-21T20:25:16.5138517Z 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 2025-03-21T20:25:16.5140140Z 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 2025-03-21T20:25:16.5141891Z 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 2025-03-21T20:25:16.5143458Z 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 2025-03-21T20:25:16.5145178Z 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 2025-03-21T20:25:16.5146655Z 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 2025-03-21T20:25:16.5148515Z 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 2025-03-21T20:25:16.5150257Z 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 2025-03-21T20:25:16.5151965Z 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 2025-03-21T20:25:16.5153752Z 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 2025-03-21T20:25:16.5155635Z 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 2025-03-21T20:25:16.5157712Z 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 2025-03-21T20:25:16.5159478Z 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 2025-03-21T20:25:16.5161618Z 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 2025-03-21T20:25:16.5163590Z 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 2025-03-21T20:25:16.5165492Z 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 2025-03-21T20:25:16.5167860Z 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 2025-03-21T20:25:16.5169660Z 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 2025-03-21T20:25:16.5171853Z 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 2025-03-21T20:25:16.5173819Z 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 2025-03-21T20:25:16.5175627Z 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 2025-03-21T20:25:16.5224130Z 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 2025-03-21T20:25:16.5225795Z 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 2025-03-21T20:25:16.5228363Z 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 2025-03-21T20:25:16.5231507Z 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 2025-03-21T20:25:16.5233852Z 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 2025-03-21T20:25:16.5235406Z 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 2025-03-21T20:25:16.5237006Z 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 2025-03-21T20:25:16.5238617Z 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 2025-03-21T20:25:16.5240232Z 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 2025-03-21T20:25:16.5241787Z 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 2025-03-21T20:25:16.5243258Z 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 2025-03-21T20:25:16.5244750Z 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 2025-03-21T20:25:16.5246884Z 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 2025-03-21T20:25:16.5248874Z 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 2025-03-21T20:25:16.5250362Z 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 2025-03-21T20:25:16.5251985Z 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 2025-03-21T20:25:16.5255161Z 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 2025-03-21T20:25:16.5258324Z 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 2025-03-21T20:25:16.5261116Z 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 2025-03-21T20:25:16.5263739Z 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 2025-03-21T20:25:16.5265475Z 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 2025-03-21T20:25:16.5267443Z 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 2025-03-21T20:25:16.5269081Z 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 2025-03-21T20:25:16.5271487Z 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 2025-03-21T20:25:16.5274621Z 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 2025-03-21T20:25:16.5276279Z 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 2025-03-21T20:25:16.5277921Z 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 2025-03-21T20:25:16.5281054Z 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 2025-03-21T20:25:16.5284325Z 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 2025-03-21T20:25:16.5287692Z 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 2025-03-21T20:25:16.5291044Z 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 2025-03-21T20:25:16.5294208Z 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 2025-03-21T20:25:16.5297348Z 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 2025-03-21T20:25:16.5299975Z 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 2025-03-21T20:25:16.5301598Z 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 2025-03-21T20:25:16.5303239Z 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 2025-03-21T20:25:16.5305124Z 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 2025-03-21T20:25:16.5306915Z 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 2025-03-21T20:25:16.5308566Z 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 2025-03-21T20:25:16.5310178Z 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 2025-03-21T20:25:16.5311809Z 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 2025-03-21T20:25:16.5313604Z 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 2025-03-21T20:25:16.5315286Z 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 2025-03-21T20:25:16.5316881Z 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 2025-03-21T20:25:16.5318298Z copying examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.5319508Z copying examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.5320686Z copying examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.5321875Z 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 2025-03-21T20:25:16.6041812Z copying exir/delegate.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir 2025-03-21T20:25:16.6043365Z copying exir/_serialize/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:16.6045094Z copying exir/_serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize 2025-03-21T20:25:16.6046846Z copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/edge 2025-03-21T20:25:16.6048744Z copying extension/pybindings/pybindings.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings 2025-03-21T20:25:16.6050949Z copying extension/flat_tensor/serialize/flat_tensor.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-03-21T20:25:16.6053338Z copying extension/flat_tensor/serialize/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/flat_tensor/serialize 2025-03-21T20:25:16.6056263Z 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 2025-03-21T20:25:16.6059978Z 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 2025-03-21T20:25:16.6063163Z copying extension/training/pybindings/_training_lib.pyi -> pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings 2025-03-21T20:25:16.6065307Z copying kernels/quantized/quantized.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized 2025-03-21T20:25:16.6067916Z copying kernels/quantized/test/supported_features_def.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test 2025-03-21T20:25:16.6069601Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/schema 2025-03-21T20:25:16.6070799Z copying schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema 2025-03-21T20:25:16.6072358Z copying schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/schema 2025-03-21T20:25:16.6074132Z copying devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-03-21T20:25:16.6076003Z copying devtools/etdump/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump 2025-03-21T20:25:16.6078191Z copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.6080688Z copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.6083202Z copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.6085692Z copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.6087519Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test 2025-03-21T20:25:16.6089130Z copying runtime/kernel/test/functions.yaml -> pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/kernel/test 2025-03-21T20:25:16.6091450Z copying devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-03-21T20:25:16.6093747Z copying devtools/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize 2025-03-21T20:25:16.6095281Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake 2025-03-21T20:25:16.6097040Z copying tools/cmake/executorch-wheel-config.cmake -> pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake/executorch-config.cmake 2025-03-21T20:25:16.6099014Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6100710Z copying runtime/core/array_ref.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6102414Z copying runtime/core/data_loader.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6103461Z copying runtime/core/defines.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6104464Z copying runtime/core/error.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6105474Z copying runtime/core/evalue.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6106719Z copying runtime/core/event_tracer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6108728Z copying runtime/core/event_tracer_hooks.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6110890Z copying runtime/core/event_tracer_hooks_delegate.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6113158Z copying runtime/core/freeable_buffer.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6115314Z copying runtime/core/hierarchical_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6117486Z copying runtime/core/memory_allocator.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6119772Z copying runtime/core/named_data_map.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6121708Z copying runtime/core/result.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6123715Z copying runtime/core/span.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6125535Z copying runtime/core/tag.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6126886Z copying runtime/core/tensor_layout.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6127989Z copying runtime/core/tensor_shape_dynamism.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.6129349Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten 2025-03-21T20:25:16.6131337Z copying runtime/core/exec_aten/exec_aten.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten 2025-03-21T20:25:16.6133456Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-03-21T20:25:16.6135953Z 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 2025-03-21T20:25:16.6138869Z 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 2025-03-21T20:25:16.6141222Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util 2025-03-21T20:25:16.6142991Z 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 2025-03-21T20:25:16.6144380Z 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 2025-03-21T20:25:16.6145795Z 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 2025-03-21T20:25:16.6147313Z 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 2025-03-21T20:25:16.6149914Z 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 2025-03-21T20:25:16.6152086Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6154341Z copying runtime/core/portable_type/bfloat16.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6156924Z copying runtime/core/portable_type/bfloat16_math.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6159499Z copying runtime/core/portable_type/bits_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6161586Z copying runtime/core/portable_type/complex.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6162905Z copying runtime/core/portable_type/device.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6164187Z copying runtime/core/portable_type/half.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6227321Z copying runtime/core/portable_type/optional.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6229519Z copying runtime/core/portable_type/qint_types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6231586Z copying runtime/core/portable_type/scalar.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6233549Z copying runtime/core/portable_type/scalar_type.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6235490Z copying runtime/core/portable_type/string_view.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6237443Z copying runtime/core/portable_type/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6239491Z copying runtime/core/portable_type/tensor_impl.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6241541Z copying runtime/core/portable_type/tensor_options.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.6243489Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-03-21T20:25:16.6245528Z 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 2025-03-21T20:25:16.6248101Z 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 2025-03-21T20:25:16.6250254Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.6252176Z 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 2025-03-21T20:25:16.6254710Z 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 2025-03-21T20:25:16.6257201Z 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 2025-03-21T20:25:16.6259521Z 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 2025-03-21T20:25:16.6262235Z 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 2025-03-21T20:25:16.6264953Z 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 2025-03-21T20:25:16.6267977Z 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 2025-03-21T20:25:16.6270852Z 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 2025-03-21T20:25:16.6273927Z 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 2025-03-21T20:25:16.6275999Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.6277741Z copying runtime/kernel/kernel_includes.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.6279918Z copying runtime/kernel/kernel_runtime_context.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.6281920Z copying runtime/kernel/operator_registry.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.6284202Z copying runtime/kernel/thread_parallel_interface.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.6286021Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test 2025-03-21T20:25:16.6287805Z copying runtime/kernel/test/test_util.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test 2025-03-21T20:25:16.6289472Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6291184Z copying runtime/platform/abort.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6293116Z copying runtime/platform/assert.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6295033Z copying runtime/platform/clock.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6296933Z copying runtime/platform/compat_unistd.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6298839Z copying runtime/platform/compiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6300649Z copying runtime/platform/log.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6302485Z copying runtime/platform/platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6304402Z copying runtime/platform/profiler.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6306278Z copying runtime/platform/runtime.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6308146Z copying runtime/platform/system.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6309972Z copying runtime/platform/types.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.6311659Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test 2025-03-21T20:25:16.6313585Z copying runtime/platform/test/stub_platform.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/test 2025-03-21T20:25:16.6315384Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-03-21T20:25:16.6317324Z copying extension/kernel_util/make_boxed_from_unboxed_functor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-03-21T20:25:16.6319607Z copying extension/kernel_util/meta_programming.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-03-21T20:25:16.6321720Z copying extension/kernel_util/type_list.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/kernel_util 2025-03-21T20:25:16.6323413Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-03-21T20:25:16.6325072Z copying extension/tensor/tensor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-03-21T20:25:16.6327024Z copying extension/tensor/tensor_accessor.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-03-21T20:25:16.6328999Z copying extension/tensor/tensor_ptr.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-03-21T20:25:16.6331062Z copying extension/tensor/tensor_ptr_maker.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/tensor 2025-03-21T20:25:16.6332842Z creating pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-03-21T20:25:16.6334795Z copying extension/threadpool/cpuinfo_utils.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-03-21T20:25:16.6336914Z copying extension/threadpool/threadpool.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-03-21T20:25:16.6339016Z copying extension/threadpool/threadpool_guard.h -> pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/extension/threadpool 2025-03-21T20:25:16.6340398Z running build_ext 2025-03-21T20:25:16.6341199Z creating /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin 2025-03-21T20:25:16.6343416Z 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 2025-03-21T20:25:16.6346677Z 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 2025-03-21T20:25:16.6349388Z copying tools/wheel/pip_data_bin_init.py.in -> /pytorch/executorch/pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py 2025-03-21T20:25:16.6705030Z 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 2025-03-21T20:25:16.6707595Z 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 2025-03-21T20:25:16.6708991Z installing to pip-out/bdist.linux-x86_64/wheel 2025-03-21T20:25:16.6709589Z running install 2025-03-21T20:25:16.6709952Z running install_lib 2025-03-21T20:25:16.6710283Z creating pip-out/bdist.linux-x86_64/wheel 2025-03-21T20:25:16.6710831Z creating pip-out/bdist.linux-x86_64/wheel/executorch 2025-03-21T20:25:16.6711587Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends 2025-03-21T20:25:16.6712290Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm 2025-03-21T20:25:16.6713602Z 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 2025-03-21T20:25:16.6715248Z 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 2025-03-21T20:25:16.6716885Z 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 2025-03-21T20:25:16.6718359Z 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 2025-03-21T20:25:16.6719972Z 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 2025-03-21T20:25:16.6721527Z 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 2025-03-21T20:25:16.6722964Z 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 2025-03-21T20:25:16.6724597Z 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 2025-03-21T20:25:16.6726619Z 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 2025-03-21T20:25:16.6728338Z 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 2025-03-21T20:25:16.6730182Z 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 2025-03-21T20:25:16.6731479Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/_passes 2025-03-21T20:25:16.6732727Z 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 2025-03-21T20:25:16.6734763Z 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 2025-03-21T20:25:16.6736871Z 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 2025-03-21T20:25:16.6738800Z 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 2025-03-21T20:25:16.6740727Z 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 2025-03-21T20:25:16.6742687Z 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 2025-03-21T20:25:16.6744596Z 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 2025-03-21T20:25:16.6746689Z 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 2025-03-21T20:25:16.6748838Z 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 2025-03-21T20:25:16.6750940Z 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 2025-03-21T20:25:16.6753179Z 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 2025-03-21T20:25:16.6755111Z 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 2025-03-21T20:25:16.6757054Z 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 2025-03-21T20:25:16.6759070Z 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 2025-03-21T20:25:16.6761073Z 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 2025-03-21T20:25:16.6763051Z 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 2025-03-21T20:25:16.6765051Z 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 2025-03-21T20:25:16.6767310Z 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 2025-03-21T20:25:16.6769509Z 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 2025-03-21T20:25:16.6771482Z 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 2025-03-21T20:25:16.6773375Z 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 2025-03-21T20:25:16.6775513Z 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 2025-03-21T20:25:16.6777524Z 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 2025-03-21T20:25:16.6779537Z 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 2025-03-21T20:25:16.6781678Z 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 2025-03-21T20:25:16.6783791Z 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 2025-03-21T20:25:16.6785677Z 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 2025-03-21T20:25:16.6787469Z 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 2025-03-21T20:25:16.6789183Z 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 2025-03-21T20:25:16.6790940Z 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 2025-03-21T20:25:16.6792799Z 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 2025-03-21T20:25:16.6794574Z 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 2025-03-21T20:25:16.6796457Z 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 2025-03-21T20:25:16.6798241Z 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 2025-03-21T20:25:16.6799994Z 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 2025-03-21T20:25:16.6801757Z 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 2025-03-21T20:25:16.6803529Z 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 2025-03-21T20:25:16.6805618Z 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 2025-03-21T20:25:16.6806939Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operator_support 2025-03-21T20:25:16.6808392Z 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 2025-03-21T20:25:16.6810260Z 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 2025-03-21T20:25:16.6812183Z 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 2025-03-21T20:25:16.6814066Z 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 2025-03-21T20:25:16.6816009Z 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 2025-03-21T20:25:16.6818100Z 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 2025-03-21T20:25:16.6820045Z 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 2025-03-21T20:25:16.6821836Z 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 2025-03-21T20:25:16.6823862Z 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 2025-03-21T20:25:16.6825239Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators 2025-03-21T20:25:16.6826433Z 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 2025-03-21T20:25:16.6828144Z 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 2025-03-21T20:25:16.6829865Z 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 2025-03-21T20:25:16.6831556Z 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 2025-03-21T20:25:16.6833327Z 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 2025-03-21T20:25:16.6835008Z 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 2025-03-21T20:25:16.6836684Z 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 2025-03-21T20:25:16.6838395Z 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 2025-03-21T20:25:16.6840095Z 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 2025-03-21T20:25:16.6841856Z 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 2025-03-21T20:25:16.6843583Z 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 2025-03-21T20:25:16.6845440Z 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 2025-03-21T20:25:16.6847366Z 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 2025-03-21T20:25:16.6849172Z 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 2025-03-21T20:25:16.6851030Z 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 2025-03-21T20:25:16.6852848Z 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 2025-03-21T20:25:16.6854586Z 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 2025-03-21T20:25:16.6856174Z 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 2025-03-21T20:25:16.6858019Z 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 2025-03-21T20:25:16.6859621Z 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 2025-03-21T20:25:16.6861401Z 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 2025-03-21T20:25:16.6863206Z 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 2025-03-21T20:25:16.6865101Z 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 2025-03-21T20:25:16.6867293Z 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 2025-03-21T20:25:16.6869063Z 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 2025-03-21T20:25:16.6870792Z 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 2025-03-21T20:25:16.6872836Z 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 2025-03-21T20:25:16.6874883Z 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 2025-03-21T20:25:16.6876745Z 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 2025-03-21T20:25:16.6878570Z 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 2025-03-21T20:25:16.6880533Z 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 2025-03-21T20:25:16.6882519Z 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 2025-03-21T20:25:16.6884356Z 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 2025-03-21T20:25:16.6886272Z 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 2025-03-21T20:25:16.6888242Z 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 2025-03-21T20:25:16.6890065Z 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 2025-03-21T20:25:16.6891898Z 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 2025-03-21T20:25:16.6893717Z 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 2025-03-21T20:25:16.6895607Z 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 2025-03-21T20:25:16.6897467Z 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 2025-03-21T20:25:16.6899426Z 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 2025-03-21T20:25:16.6901425Z 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 2025-03-21T20:25:16.6903371Z 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 2025-03-21T20:25:16.6905213Z 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 2025-03-21T20:25:16.6907105Z 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 2025-03-21T20:25:16.6908451Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/quantizer 2025-03-21T20:25:16.6909811Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/quantizer 2025-03-21T20:25:16.6911690Z 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 2025-03-21T20:25:16.6913675Z 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 2025-03-21T20:25:16.6915708Z 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 2025-03-21T20:25:16.6917741Z 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 2025-03-21T20:25:16.6919428Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test 2025-03-21T20:25:16.6920790Z 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 2025-03-21T20:25:16.6922692Z 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 2025-03-21T20:25:16.6924461Z 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 2025-03-21T20:25:16.6926239Z 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 2025-03-21T20:25:16.6927445Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc 2025-03-21T20:25:16.6928860Z 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 2025-03-21T20:25:16.6930821Z 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 2025-03-21T20:25:16.6932754Z 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 2025-03-21T20:25:16.6934914Z 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 2025-03-21T20:25:16.6936920Z 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 2025-03-21T20:25:16.6939030Z 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 2025-03-21T20:25:16.6941221Z 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 2025-03-21T20:25:16.6943451Z 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 2025-03-21T20:25:16.6945493Z 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 2025-03-21T20:25:16.6946759Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models 2025-03-21T20:25:16.6948182Z 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 2025-03-21T20:25:16.6950528Z 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 2025-03-21T20:25:16.6952391Z 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 2025-03-21T20:25:16.6954403Z 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 2025-03-21T20:25:16.6956406Z 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 2025-03-21T20:25:16.6958481Z 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 2025-03-21T20:25:16.6960621Z 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 2025-03-21T20:25:16.6962684Z 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 2025-03-21T20:25:16.6964609Z 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 2025-03-21T20:25:16.6966043Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops 2025-03-21T20:25:16.6967532Z 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 2025-03-21T20:25:16.6969351Z 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 2025-03-21T20:25:16.6971186Z 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 2025-03-21T20:25:16.6972958Z 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 2025-03-21T20:25:16.6974775Z 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 2025-03-21T20:25:16.6976442Z 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 2025-03-21T20:25:16.6978044Z 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 2025-03-21T20:25:16.6979797Z 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 2025-03-21T20:25:16.6981632Z 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 2025-03-21T20:25:16.6983323Z 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 2025-03-21T20:25:16.6985033Z 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 2025-03-21T20:25:16.6986654Z 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 2025-03-21T20:25:16.6988514Z 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 2025-03-21T20:25:16.6990366Z 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 2025-03-21T20:25:16.6992091Z 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 2025-03-21T20:25:16.6993929Z 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 2025-03-21T20:25:16.6995693Z 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 2025-03-21T20:25:16.6997579Z 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 2025-03-21T20:25:16.6999205Z 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 2025-03-21T20:25:16.7001121Z 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 2025-03-21T20:25:16.7002724Z 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 2025-03-21T20:25:16.7004402Z 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 2025-03-21T20:25:16.7006017Z 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 2025-03-21T20:25:16.7007719Z 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 2025-03-21T20:25:16.7009380Z 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 2025-03-21T20:25:16.7011216Z 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 2025-03-21T20:25:16.7012997Z 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 2025-03-21T20:25:16.7014823Z 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 2025-03-21T20:25:16.7016628Z 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 2025-03-21T20:25:16.7018383Z 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 2025-03-21T20:25:16.7030315Z 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 2025-03-21T20:25:16.7032097Z 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 2025-03-21T20:25:16.7033914Z 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 2025-03-21T20:25:16.7036154Z 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 2025-03-21T20:25:16.7037935Z 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 2025-03-21T20:25:16.7039637Z 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 2025-03-21T20:25:16.7041495Z 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 2025-03-21T20:25:16.7043200Z 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 2025-03-21T20:25:16.7045263Z 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 2025-03-21T20:25:16.7047128Z 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 2025-03-21T20:25:16.7049038Z 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 2025-03-21T20:25:16.7050915Z 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 2025-03-21T20:25:16.7052651Z 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 2025-03-21T20:25:16.7054454Z 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 2025-03-21T20:25:16.7056366Z 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 2025-03-21T20:25:16.7058106Z 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 2025-03-21T20:25:16.7059920Z 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 2025-03-21T20:25:16.7061632Z 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 2025-03-21T20:25:16.7063498Z 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 2025-03-21T20:25:16.7065407Z 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 2025-03-21T20:25:16.7067663Z 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 2025-03-21T20:25:16.7069701Z 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 2025-03-21T20:25:16.7071546Z 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 2025-03-21T20:25:16.7073539Z 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 2025-03-21T20:25:16.7075320Z 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 2025-03-21T20:25:16.7077058Z 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 2025-03-21T20:25:16.7078779Z 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 2025-03-21T20:25:16.7080303Z 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 2025-03-21T20:25:16.7082206Z 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 2025-03-21T20:25:16.7084342Z 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 2025-03-21T20:25:16.7086134Z 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 2025-03-21T20:25:16.7088240Z 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 2025-03-21T20:25:16.7090010Z 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 2025-03-21T20:25:16.7091872Z 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 2025-03-21T20:25:16.7093115Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/passes 2025-03-21T20:25:16.7094525Z 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 2025-03-21T20:25:16.7096594Z 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 2025-03-21T20:25:16.7098605Z 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 2025-03-21T20:25:16.7100492Z 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 2025-03-21T20:25:16.7102502Z 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 2025-03-21T20:25:16.7105017Z 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 2025-03-21T20:25:16.7106893Z 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 2025-03-21T20:25:16.7108766Z 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 2025-03-21T20:25:16.7110603Z 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 2025-03-21T20:25:16.7112456Z 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 2025-03-21T20:25:16.7113896Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/quantizer 2025-03-21T20:25:16.7115236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/quantizer/test_generic_annotater.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/quantizer 2025-03-21T20:25:16.7116594Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester 2025-03-21T20:25:16.7117746Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tester/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tester 2025-03-21T20:25:16.7119517Z 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 2025-03-21T20:25:16.7121338Z 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 2025-03-21T20:25:16.7123044Z 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 2025-03-21T20:25:16.7124355Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil 2025-03-21T20:25:16.7125632Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/test/tosautil 2025-03-21T20:25:16.7126736Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/util 2025-03-21T20:25:16.7127957Z 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 2025-03-21T20:25:16.7129194Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party 2025-03-21T20:25:16.7130034Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib 2025-03-21T20:25:16.7131611Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib 2025-03-21T20:25:16.7133075Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python 2025-03-21T20:25:16.7134149Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-03-21T20:25:16.7135878Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/python/serializer 2025-03-21T20:25:16.7138691Z 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 2025-03-21T20:25:16.7140806Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa 2025-03-21T20:25:16.7142938Z 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 2025-03-21T20:25:16.7145766Z 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 2025-03-21T20:25:16.7148442Z 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 2025-03-21T20:25:16.7151306Z 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 2025-03-21T20:25:16.7154109Z 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 2025-03-21T20:25:16.7156585Z 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 2025-03-21T20:25:16.7159311Z 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 2025-03-21T20:25:16.7162169Z 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 2025-03-21T20:25:16.7164666Z 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 2025-03-21T20:25:16.7167683Z 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 2025-03-21T20:25:16.7170569Z 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 2025-03-21T20:25:16.7173218Z 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 2025-03-21T20:25:16.7176104Z 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 2025-03-21T20:25:16.7178788Z 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 2025-03-21T20:25:16.7181818Z 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 2025-03-21T20:25:16.7185012Z 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 2025-03-21T20:25:16.7187518Z 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 2025-03-21T20:25:16.7190117Z 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 2025-03-21T20:25:16.7192756Z 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 2025-03-21T20:25:16.7195544Z 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 2025-03-21T20:25:16.7198330Z 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 2025-03-21T20:25:16.7201139Z 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 2025-03-21T20:25:16.7204158Z 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 2025-03-21T20:25:16.7207112Z 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 2025-03-21T20:25:16.7209864Z 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 2025-03-21T20:25:16.7212769Z 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 2025-03-21T20:25:16.7215636Z 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 2025-03-21T20:25:16.7218573Z 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 2025-03-21T20:25:16.7221499Z 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 2025-03-21T20:25:16.7224330Z 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 2025-03-21T20:25:16.7227129Z 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 2025-03-21T20:25:16.7229890Z 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 2025-03-21T20:25:16.7232510Z 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 2025-03-21T20:25:16.7235240Z 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 2025-03-21T20:25:16.7236990Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test 2025-03-21T20:25:16.7238207Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-03-21T20:25:16.7240216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts 2025-03-21T20:25:16.7242060Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-03-21T20:25:16.7244069Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit 2025-03-21T20:25:16.7246145Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/schema 2025-03-21T20:25:16.7248064Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/arm/third-party/serialization_lib/schema 2025-03-21T20:25:16.7249639Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example 2025-03-21T20:25:16.7250875Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example 2025-03-21T20:25:16.7252657Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example 2025-03-21T20:25:16.7254410Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example 2025-03-21T20:25:16.7256228Z 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 2025-03-21T20:25:16.7257723Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_backend_delegate_passes 2025-03-21T20:25:16.7260041Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_backend_delegate_passes 2025-03-21T20:25:16.7262515Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_backend_delegate_passes 2025-03-21T20:25:16.7264135Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators 2025-03-21T20:25:16.7265597Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/example/example_operators 2025-03-21T20:25:16.7267783Z 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 2025-03-21T20:25:16.7269828Z 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 2025-03-21T20:25:16.7271757Z 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 2025-03-21T20:25:16.7274096Z 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 2025-03-21T20:25:16.7276028Z 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 2025-03-21T20:25:16.7277984Z 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 2025-03-21T20:25:16.7280017Z 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 2025-03-21T20:25:16.7282205Z 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 2025-03-21T20:25:16.7284173Z 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 2025-03-21T20:25:16.7285773Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek 2025-03-21T20:25:16.7287023Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek 2025-03-21T20:25:16.7288761Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek 2025-03-21T20:25:16.7290337Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek 2025-03-21T20:25:16.7291561Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/_passes 2025-03-21T20:25:16.7292768Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/_passes 2025-03-21T20:25:16.7294566Z 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 2025-03-21T20:25:16.7295930Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/mediatek/quantizer 2025-03-21T20:25:16.7297220Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/mediatek/quantizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/mediatek/quantizer 2025-03-21T20:25:16.7298913Z 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 2025-03-21T20:25:16.7300798Z 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 2025-03-21T20:25:16.7302689Z 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 2025-03-21T20:25:16.7304125Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm 2025-03-21T20:25:16.7305435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm 2025-03-21T20:25:16.7306656Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/_passes 2025-03-21T20:25:16.7307804Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/_passes 2025-03-21T20:25:16.7309574Z 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 2025-03-21T20:25:16.7311328Z 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 2025-03-21T20:25:16.7313285Z 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 2025-03-21T20:25:16.7314972Z 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 2025-03-21T20:25:16.7316870Z 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 2025-03-21T20:25:16.7318799Z 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 2025-03-21T20:25:16.7320862Z 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 2025-03-21T20:25:16.7322773Z 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 2025-03-21T20:25:16.7324460Z 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 2025-03-21T20:25:16.7326362Z 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 2025-03-21T20:25:16.7328224Z 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 2025-03-21T20:25:16.7330096Z 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 2025-03-21T20:25:16.7332050Z 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 2025-03-21T20:25:16.7334215Z 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 2025-03-21T20:25:16.7336084Z 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 2025-03-21T20:25:16.7337813Z 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 2025-03-21T20:25:16.7339686Z 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 2025-03-21T20:25:16.7341592Z 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 2025-03-21T20:25:16.7343451Z 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 2025-03-21T20:25:16.7345337Z 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 2025-03-21T20:25:16.7347060Z 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 2025-03-21T20:25:16.7348938Z 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 2025-03-21T20:25:16.7350903Z 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 2025-03-21T20:25:16.7352900Z 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 2025-03-21T20:25:16.7354776Z 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 2025-03-21T20:25:16.7356600Z 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 2025-03-21T20:25:16.7358353Z 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 2025-03-21T20:25:16.7359633Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders 2025-03-21T20:25:16.7361185Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/qualcomm/builders/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/qualcomm/builders 2025-03-21T20:25:16.7363103Z 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 2025-03-21T20:25:16.7365084Z 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 2025-03-21T20:25:16.7367183Z 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 2025-03-21T20:25:16.7368873Z 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 2025-03-21T20:25:16.7370637Z 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 2025-03-21T20:25:16.7372317Z 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 2025-03-21T20:25:16.7374031Z 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 2025-03-21T20:25:16.7375745Z 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 2025-03-21T20:25:16.7377445Z 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 2025-03-21T20:25:16.7379086Z 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 2025-03-21T20:25:16.7380752Z 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 2025-03-21T20:25:16.7382412Z 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 2025-03-21T20:25:16.7384130Z 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 2025-03-21T20:25:16.7385784Z 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 2025-03-21T20:25:16.7387512Z 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 2025-03-21T20:25:16.7389240Z 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 2025-03-21T20:25:16.7390946Z 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 2025-03-21T20:25:16.7393014Z 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 2025-03-21T20:25:16.7394741Z 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 2025-03-21T20:25:16.7396456Z 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 2025-03-21T20:25:16.7398124Z 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 2025-03-21T20:25:16.7399836Z 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 2025-03-21T20:25:16.7401504Z 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 2025-03-21T20:25:16.7403175Z 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 2025-03-21T20:25:16.7404854Z 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 2025-03-21T20:25:16.7406573Z 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 2025-03-21T20:25:16.7408244Z 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 2025-03-21T20:25:16.7409996Z 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 2025-03-21T20:25:16.7411753Z 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 2025-03-21T20:25:16.7413516Z 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 2025-03-21T20:25:16.7415373Z 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 2025-03-21T20:25:16.7417388Z 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 2025-03-21T20:25:16.7420064Z 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 2025-03-21T20:25:16.7421838Z 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 2025-03-21T20:25:16.7423664Z 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 2025-03-21T20:25:16.7425652Z 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 2025-03-21T20:25:16.7427527Z 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 2025-03-21T20:25:16.7429633Z 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 2025-03-21T20:25:16.7431578Z 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 2025-03-21T20:25:16.7433455Z 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 2025-03-21T20:25:16.7435310Z 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 2025-03-21T20:25:16.7437118Z 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 2025-03-21T20:25:16.7438854Z 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 2025-03-21T20:25:16.7440615Z 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 2025-03-21T20:25:16.7442346Z 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 2025-03-21T20:25:16.7444020Z 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 2025-03-21T20:25:16.7445677Z 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 2025-03-21T20:25:16.7447606Z 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 2025-03-21T20:25:16.7449604Z 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 2025-03-21T20:25:16.7451529Z 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 2025-03-21T20:25:16.7453399Z 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 2025-03-21T20:25:16.7455154Z 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 2025-03-21T20:25:16.7456923Z 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 2025-03-21T20:25:16.7458680Z 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 2025-03-21T20:25:16.7460447Z 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 2025-03-21T20:25:16.7462260Z 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 2025-03-21T20:25:16.7464244Z 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 2025-03-21T20:25:16.7466335Z 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 2025-03-21T20:25:16.7468502Z 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 2025-03-21T20:25:16.7470565Z 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 2025-03-21T20:25:16.7472686Z 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 2025-03-21T20:25:16.7474649Z 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 2025-03-21T20:25:16.7476534Z 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 2025-03-21T20:25:16.7478543Z 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 2025-03-21T20:25:16.7480611Z 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 2025-03-21T20:25:16.7482589Z 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 2025-03-21T20:25:16.7484428Z 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 2025-03-21T20:25:16.7486328Z 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 2025-03-21T20:25:16.7488373Z 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 2025-03-21T20:25:16.7490450Z 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 2025-03-21T20:25:16.7492738Z 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 2025-03-21T20:25:16.7494698Z 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 2025-03-21T20:25:16.7496757Z 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 2025-03-21T20:25:16.7498925Z 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 2025-03-21T20:25:16.7501032Z 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 2025-03-21T20:25:16.7503096Z 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 2025-03-21T20:25:16.7505160Z 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 2025-03-21T20:25:16.7507342Z 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 2025-03-21T20:25:16.7509406Z 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 2025-03-21T20:25:16.7510887Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/debugger 2025-03-21T20:25:16.7512283Z 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 2025-03-21T20:25:16.7513843Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition 2025-03-21T20:25:16.7515241Z 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 2025-03-21T20:25:16.7517421Z 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 2025-03-21T20:25:16.7519471Z 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 2025-03-21T20:25:16.7520964Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer 2025-03-21T20:25:16.7522426Z 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 2025-03-21T20:25:16.7524479Z 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 2025-03-21T20:25:16.7526605Z 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 2025-03-21T20:25:16.7528702Z 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 2025-03-21T20:25:16.7530301Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer/observers 2025-03-21T20:25:16.7532233Z 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 2025-03-21T20:25:16.7534112Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization 2025-03-21T20:25:16.7535620Z 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 2025-03-21T20:25:16.7537829Z 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 2025-03-21T20:25:16.7540118Z 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 2025-03-21T20:25:16.7541489Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests 2025-03-21T20:25:16.7542822Z 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 2025-03-21T20:25:16.7544694Z 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 2025-03-21T20:25:16.7546507Z 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 2025-03-21T20:25:16.7547991Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils 2025-03-21T20:25:16.7549483Z 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 2025-03-21T20:25:16.7551321Z 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 2025-03-21T20:25:16.7552693Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot 2025-03-21T20:25:16.7553460Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir 2025-03-21T20:25:16.7554935Z 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 2025-03-21T20:25:16.7556134Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms 2025-03-21T20:25:16.7557439Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-03-21T20:25:16.7559242Z 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 2025-03-21T20:25:16.7561584Z 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 2025-03-21T20:25:16.7563588Z 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 2025-03-21T20:25:16.7565553Z 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 2025-03-21T20:25:16.7567541Z 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 2025-03-21T20:25:16.7569435Z 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 2025-03-21T20:25:16.7571303Z 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 2025-03-21T20:25:16.7573046Z 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 2025-03-21T20:25:16.7574822Z 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 2025-03-21T20:25:16.7576412Z 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 2025-03-21T20:25:16.7578262Z 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 2025-03-21T20:25:16.7580227Z 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 2025-03-21T20:25:16.7582080Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/transforms/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/transforms 2025-03-21T20:25:16.7583898Z 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 2025-03-21T20:25:16.7585257Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test 2025-03-21T20:25:16.7586772Z 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 2025-03-21T20:25:16.7589158Z 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 2025-03-21T20:25:16.7591258Z 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 2025-03-21T20:25:16.7592667Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan 2025-03-21T20:25:16.7593781Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan 2025-03-21T20:25:16.7595412Z 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 2025-03-21T20:25:16.7597117Z 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 2025-03-21T20:25:16.7598591Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan 2025-03-21T20:25:16.7600065Z 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 2025-03-21T20:25:16.7601343Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/_passes 2025-03-21T20:25:16.7602410Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/_passes 2025-03-21T20:25:16.7604136Z 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 2025-03-21T20:25:16.7606040Z 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 2025-03-21T20:25:16.7607811Z 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 2025-03-21T20:25:16.7609883Z 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 2025-03-21T20:25:16.7611755Z 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 2025-03-21T20:25:16.7613579Z 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 2025-03-21T20:25:16.7615481Z 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 2025-03-21T20:25:16.7616855Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner 2025-03-21T20:25:16.7618322Z 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 2025-03-21T20:25:16.7619601Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/quantizer 2025-03-21T20:25:16.7620922Z 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 2025-03-21T20:25:16.7622397Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime 2025-03-21T20:25:16.7623768Z 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 2025-03-21T20:25:16.7624969Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph 2025-03-21T20:25:16.7625862Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops 2025-03-21T20:25:16.7626756Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7628327Z 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 2025-03-21T20:25:16.7630485Z 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 2025-03-21T20:25:16.7632938Z 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 2025-03-21T20:25:16.7635259Z 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 2025-03-21T20:25:16.7637585Z 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 2025-03-21T20:25:16.7639987Z 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 2025-03-21T20:25:16.7642164Z 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 2025-03-21T20:25:16.7644532Z 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 2025-03-21T20:25:16.7646819Z 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 2025-03-21T20:25:16.7648972Z 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 2025-03-21T20:25:16.7651359Z 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 2025-03-21T20:25:16.7653553Z 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 2025-03-21T20:25:16.7655738Z 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 2025-03-21T20:25:16.7658015Z 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 2025-03-21T20:25:16.7660270Z 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 2025-03-21T20:25:16.7662785Z 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 2025-03-21T20:25:16.7665211Z 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 2025-03-21T20:25:16.7667684Z 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 2025-03-21T20:25:16.7670219Z 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 2025-03-21T20:25:16.7672666Z 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 2025-03-21T20:25:16.7675041Z 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 2025-03-21T20:25:16.7677484Z 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 2025-03-21T20:25:16.7679935Z 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 2025-03-21T20:25:16.7682223Z 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 2025-03-21T20:25:16.7684570Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7686728Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7688760Z 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 2025-03-21T20:25:16.7690903Z 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 2025-03-21T20:25:16.7693408Z 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 2025-03-21T20:25:16.7695566Z 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 2025-03-21T20:25:16.7697875Z 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 2025-03-21T20:25:16.7700148Z 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 2025-03-21T20:25:16.7702441Z 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 2025-03-21T20:25:16.7704836Z 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 2025-03-21T20:25:16.7707288Z 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 2025-03-21T20:25:16.7709862Z 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 2025-03-21T20:25:16.7712145Z 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 2025-03-21T20:25:16.7714592Z 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 2025-03-21T20:25:16.7716953Z 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 2025-03-21T20:25:16.7719507Z 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 2025-03-21T20:25:16.7721972Z 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 2025-03-21T20:25:16.7724394Z 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 2025-03-21T20:25:16.7726802Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7729221Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7731897Z 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 2025-03-21T20:25:16.7734384Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7737030Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7739730Z 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 2025-03-21T20:25:16.7742328Z 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 2025-03-21T20:25:16.7745144Z 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 2025-03-21T20:25:16.7747927Z 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 2025-03-21T20:25:16.7750567Z 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 2025-03-21T20:25:16.7753215Z 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 2025-03-21T20:25:16.7755811Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7758385Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7761139Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7763534Z 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 2025-03-21T20:25:16.7766083Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7768950Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7771375Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7774098Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7776697Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/runtime/graph/ops/glsl 2025-03-21T20:25:16.7778249Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization 2025-03-21T20:25:16.7779876Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-03-21T20:25:16.7782223Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-03-21T20:25:16.7784345Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-03-21T20:25:16.7786399Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/serialization 2025-03-21T20:25:16.7787806Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test 2025-03-21T20:25:16.7789381Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_serialization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test 2025-03-21T20:25:16.7791363Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test 2025-03-21T20:25:16.7793570Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test 2025-03-21T20:25:16.7794998Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests 2025-03-21T20:25:16.7796414Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests 2025-03-21T20:25:16.7798534Z 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 2025-03-21T20:25:16.7800922Z 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 2025-03-21T20:25:16.7802563Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils 2025-03-21T20:25:16.7804246Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/aten_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-03-21T20:25:16.7806700Z 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 2025-03-21T20:25:16.7808970Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-03-21T20:25:16.7811543Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-03-21T20:25:16.7813963Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-03-21T20:25:16.7816181Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/op_tests/utils/test_suite.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/op_tests/utils 2025-03-21T20:25:16.7817670Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/glsl 2025-03-21T20:25:16.7819150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/test/glsl 2025-03-21T20:25:16.7820563Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party 2025-03-21T20:25:16.7821465Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/volk 2025-03-21T20:25:16.7823100Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/volk 2025-03-21T20:25:16.7824554Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers 2025-03-21T20:25:16.7825605Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7827567Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7830241Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7832707Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7835159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7837673Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7840093Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7842773Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry 2025-03-21T20:25:16.7844662Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-03-21T20:25:16.7846883Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools 2025-03-21T20:25:16.7848876Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator 2025-03-21T20:25:16.7850083Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools 2025-03-21T20:25:16.7851395Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-03-21T20:25:16.7853763Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis 2025-03-21T20:25:16.7855864Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/tools 2025-03-21T20:25:16.7856678Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/tools/gpuinfo 2025-03-21T20:25:16.7857705Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.7859322Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.7861591Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.7863842Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.7866006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.7868314Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.7870566Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/vulkan/tools/gpuinfo/glsl 2025-03-21T20:25:16.7871960Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack 2025-03-21T20:25:16.7873244Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack 2025-03-21T20:25:16.7874962Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack 2025-03-21T20:25:16.7876288Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/_passes 2025-03-21T20:25:16.7877499Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-03-21T20:25:16.7879377Z 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 2025-03-21T20:25:16.7881419Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-03-21T20:25:16.7883330Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-03-21T20:25:16.7885070Z 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 2025-03-21T20:25:16.7886889Z 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 2025-03-21T20:25:16.7888879Z 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 2025-03-21T20:25:16.7891681Z 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 2025-03-21T20:25:16.7893372Z 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 2025-03-21T20:25:16.7895076Z 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 2025-03-21T20:25:16.7896887Z 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 2025-03-21T20:25:16.7898616Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-03-21T20:25:16.7900426Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/_passes/xnnpack_pass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/_passes 2025-03-21T20:25:16.7901807Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7903141Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7905193Z 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 2025-03-21T20:25:16.7907103Z 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 2025-03-21T20:25:16.7909096Z 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 2025-03-21T20:25:16.7910861Z 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 2025-03-21T20:25:16.7912844Z 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 2025-03-21T20:25:16.7914733Z 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 2025-03-21T20:25:16.7916571Z 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 2025-03-21T20:25:16.7918461Z 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 2025-03-21T20:25:16.7920294Z 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 2025-03-21T20:25:16.7922365Z 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 2025-03-21T20:25:16.7924366Z 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 2025-03-21T20:25:16.7926438Z 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 2025-03-21T20:25:16.7928741Z 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 2025-03-21T20:25:16.7930850Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7932993Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7935038Z 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 2025-03-21T20:25:16.7937386Z 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 2025-03-21T20:25:16.7939500Z 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 2025-03-21T20:25:16.7941647Z 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 2025-03-21T20:25:16.7943941Z 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 2025-03-21T20:25:16.7945971Z 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 2025-03-21T20:25:16.7948044Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7949881Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7951754Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7953928Z 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 2025-03-21T20:25:16.7955866Z 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 2025-03-21T20:25:16.7957922Z 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 2025-03-21T20:25:16.7959707Z 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 2025-03-21T20:25:16.7961701Z 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 2025-03-21T20:25:16.7963529Z 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 2025-03-21T20:25:16.7965444Z 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 2025-03-21T20:25:16.7967457Z 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 2025-03-21T20:25:16.7969261Z 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 2025-03-21T20:25:16.7971130Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7973052Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/operators 2025-03-21T20:25:16.7974884Z 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 2025-03-21T20:25:16.7976943Z 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 2025-03-21T20:25:16.7978923Z 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 2025-03-21T20:25:16.7980874Z 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 2025-03-21T20:25:16.7982740Z 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 2025-03-21T20:25:16.7984645Z 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 2025-03-21T20:25:16.7986695Z 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 2025-03-21T20:25:16.7988612Z 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 2025-03-21T20:25:16.7990383Z 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 2025-03-21T20:25:16.7992226Z 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 2025-03-21T20:25:16.7993592Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition 2025-03-21T20:25:16.7994836Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition 2025-03-21T20:25:16.7996764Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition 2025-03-21T20:25:16.7998110Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/config 2025-03-21T20:25:16.7999543Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/partition/config/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/partition/config 2025-03-21T20:25:16.8001478Z 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 2025-03-21T20:25:16.8003532Z 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 2025-03-21T20:25:16.8005610Z 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 2025-03-21T20:25:16.8007631Z 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 2025-03-21T20:25:16.8009711Z 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 2025-03-21T20:25:16.8011153Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs 2025-03-21T20:25:16.8012639Z 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 2025-03-21T20:25:16.8014575Z 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 2025-03-21T20:25:16.8015872Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/quantizer 2025-03-21T20:25:16.8017175Z 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 2025-03-21T20:25:16.8019141Z 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 2025-03-21T20:25:16.8020500Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization 2025-03-21T20:25:16.8022046Z 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 2025-03-21T20:25:16.8024163Z 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 2025-03-21T20:25:16.8026187Z 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 2025-03-21T20:25:16.8028041Z 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 2025-03-21T20:25:16.8029383Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test 2025-03-21T20:25:16.8030692Z 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 2025-03-21T20:25:16.8032721Z 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 2025-03-21T20:25:16.8034201Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models 2025-03-21T20:25:16.8035631Z 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 2025-03-21T20:25:16.8037618Z 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 2025-03-21T20:25:16.8039566Z 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 2025-03-21T20:25:16.8041627Z 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 2025-03-21T20:25:16.8044079Z 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 2025-03-21T20:25:16.8046071Z 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 2025-03-21T20:25:16.8048073Z 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 2025-03-21T20:25:16.8050010Z 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 2025-03-21T20:25:16.8052039Z 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 2025-03-21T20:25:16.8053898Z 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 2025-03-21T20:25:16.8055763Z 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 2025-03-21T20:25:16.8057750Z 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 2025-03-21T20:25:16.8070853Z 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 2025-03-21T20:25:16.8072495Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops 2025-03-21T20:25:16.8074056Z 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 2025-03-21T20:25:16.8075741Z 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 2025-03-21T20:25:16.8077490Z 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 2025-03-21T20:25:16.8079286Z 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 2025-03-21T20:25:16.8081111Z 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 2025-03-21T20:25:16.8082870Z 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 2025-03-21T20:25:16.8084757Z 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 2025-03-21T20:25:16.8086686Z 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 2025-03-21T20:25:16.8088780Z 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 2025-03-21T20:25:16.8090582Z 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 2025-03-21T20:25:16.8092314Z 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 2025-03-21T20:25:16.8093968Z 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 2025-03-21T20:25:16.8095638Z 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 2025-03-21T20:25:16.8097352Z 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 2025-03-21T20:25:16.8099056Z 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 2025-03-21T20:25:16.8100852Z 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 2025-03-21T20:25:16.8102837Z 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 2025-03-21T20:25:16.8104670Z 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 2025-03-21T20:25:16.8106372Z 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 2025-03-21T20:25:16.8108688Z 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 2025-03-21T20:25:16.8110521Z 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 2025-03-21T20:25:16.8112518Z 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 2025-03-21T20:25:16.8114656Z 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 2025-03-21T20:25:16.8116583Z 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 2025-03-21T20:25:16.8118734Z 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 2025-03-21T20:25:16.8120423Z 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 2025-03-21T20:25:16.8122227Z 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 2025-03-21T20:25:16.8124055Z 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 2025-03-21T20:25:16.8125785Z 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 2025-03-21T20:25:16.8127623Z 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 2025-03-21T20:25:16.8129451Z 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 2025-03-21T20:25:16.8131279Z 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 2025-03-21T20:25:16.8132982Z 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 2025-03-21T20:25:16.8134904Z 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 2025-03-21T20:25:16.8136902Z 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 2025-03-21T20:25:16.8138771Z 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 2025-03-21T20:25:16.8140512Z 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 2025-03-21T20:25:16.8142396Z 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 2025-03-21T20:25:16.8144224Z 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 2025-03-21T20:25:16.8146311Z 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 2025-03-21T20:25:16.8147561Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes 2025-03-21T20:25:16.8149195Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/passes 2025-03-21T20:25:16.8151124Z 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 2025-03-21T20:25:16.8153395Z 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 2025-03-21T20:25:16.8155589Z 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 2025-03-21T20:25:16.8157519Z 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 2025-03-21T20:25:16.8159659Z 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 2025-03-21T20:25:16.8161744Z 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 2025-03-21T20:25:16.8163111Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/quantizer 2025-03-21T20:25:16.8164772Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/quantizer 2025-03-21T20:25:16.8167118Z 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 2025-03-21T20:25:16.8169393Z 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 2025-03-21T20:25:16.8171034Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization 2025-03-21T20:25:16.8172674Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/serialization/test_serialization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/serialization 2025-03-21T20:25:16.8175044Z 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 2025-03-21T20:25:16.8176595Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/tester 2025-03-21T20:25:16.8177951Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/tester 2025-03-21T20:25:16.8179907Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/test/tester 2025-03-21T20:25:16.8181757Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party 2025-03-21T20:25:16.8182698Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16 2025-03-21T20:25:16.8184260Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16 2025-03-21T20:25:16.8185938Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include 2025-03-21T20:25:16.8186859Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-03-21T20:25:16.8188681Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-03-21T20:25:16.8191304Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-03-21T20:25:16.8193474Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/include/fp16 2025-03-21T20:25:16.8195080Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test 2025-03-21T20:25:16.8196089Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-03-21T20:25:16.8197863Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16/test/peachpy 2025-03-21T20:25:16.8200106Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FP16 2025-03-21T20:25:16.8201571Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FXdiv 2025-03-21T20:25:16.8203199Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FXdiv 2025-03-21T20:25:16.8205425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/FXdiv 2025-03-21T20:25:16.8206864Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo 2025-03-21T20:25:16.8208274Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo 2025-03-21T20:25:16.8209781Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-03-21T20:25:16.8211719Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/android-device-dump.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-03-21T20:25:16.8214533Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-03-21T20:25:16.8217051Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/scripts 2025-03-21T20:25:16.8218842Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps 2025-03-21T20:25:16.8220033Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-03-21T20:25:16.8221643Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-03-21T20:25:16.8224002Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo/deps/clog 2025-03-21T20:25:16.8226205Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/cpuinfo 2025-03-21T20:25:16.8227986Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/pthreadpool 2025-03-21T20:25:16.8229611Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/pthreadpool 2025-03-21T20:25:16.8231852Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/pthreadpool 2025-03-21T20:25:16.8233510Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK 2025-03-21T20:25:16.8234596Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:16.8236274Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:16.8238559Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:16.8241070Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:16.8243397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/scripts 2025-03-21T20:25:16.8245075Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8246674Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8248793Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8250946Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8253286Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8255644Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8256838Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8258017Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8259194Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8260464Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8261606Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8262682Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8263796Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8264819Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8265873Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8267244Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8268422Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8269671Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8270749Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8271902Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8273076Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8274643Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8275935Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8277077Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8278203Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8279417Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8280570Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8281578Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/tools 2025-03-21T20:25:16.8282037Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8283027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8284042Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8285090Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8286104Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8287136Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8288213Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8289131Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8290198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8291134Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8292282Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8293257Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8294329Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8295218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8296310Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8297454Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8298428Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8299468Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8300603Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8301620Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8302612Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8303758Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8304811Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8305873Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8306908Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8307918Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8308909Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8309934Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8310961Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8312006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8313164Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8314268Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8315320Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8316377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8317399Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8318456Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8319558Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8320549Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8321587Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8322661Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8323741Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8324727Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8325684Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8326676Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8327699Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8328718Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8329740Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8330813Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8331956Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8333054Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8334191Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8335237Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8336394Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8337541Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8338574Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8339646Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8340721Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8341798Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8342855Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8343903Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8344975Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8346137Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8347162Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8348158Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8349244Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8350438Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8351483Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8352690Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8353651Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8354655Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8355681Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8356720Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8357864Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8358888Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8360017Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party/XNNPACK/test 2025-03-21T20:25:16.8361502Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/third-party 2025-03-21T20:25:16.8361793Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils 2025-03-21T20:25:16.8362499Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/configs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-03-21T20:25:16.8363385Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-03-21T20:25:16.8364059Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-03-21T20:25:16.8364971Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/xnnpack/utils 2025-03-21T20:25:16.8365217Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple 2025-03-21T20:25:16.8365484Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps 2025-03-21T20:25:16.8366166Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps 2025-03-21T20:25:16.8367315Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/mps_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps 2025-03-21T20:25:16.8367672Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8368843Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8369777Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8370611Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8371572Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8372416Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8373346Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8374147Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/apple/mps/operators 2025-03-21T20:25:16.8375054Z 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 2025-03-21T20:25:16.8375863Z 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 2025-03-21T20:25:16.8376781Z 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 2025-03-21T20:25:16.8377591Z 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 2025-03-21T20:25:16.8378428Z 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 2025-03-21T20:25:16.8379269Z 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 2025-03-21T20:25:16.8380117Z 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 2025-03-21T20:25:16.8380923Z 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 2025-03-21T20:25:16.8381795Z 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 2025-03-21T20:25:16.8382603Z 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 2025-03-21T20:25:16.8383477Z 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 2025-03-21T20:25:16.8384375Z 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 2025-03-21T20:25:16.8385164Z 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 2025-03-21T20:25:16.8385583Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition 2025-03-21T20:25:16.8386377Z 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 2025-03-21T20:25:16.8387239Z 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 2025-03-21T20:25:16.8387632Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization 2025-03-21T20:25:16.8388471Z 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 2025-03-21T20:25:16.8389472Z 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 2025-03-21T20:25:16.8390274Z 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 2025-03-21T20:25:16.8390612Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test 2025-03-21T20:25:16.8391396Z 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 2025-03-21T20:25:16.8392192Z 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 2025-03-21T20:25:16.8393121Z 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 2025-03-21T20:25:16.8393865Z 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 2025-03-21T20:25:16.8394733Z 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 2025-03-21T20:25:16.8395473Z 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 2025-03-21T20:25:16.8396307Z 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 2025-03-21T20:25:16.8396607Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils 2025-03-21T20:25:16.8397319Z 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 2025-03-21T20:25:16.8398177Z 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 2025-03-21T20:25:16.8398454Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml 2025-03-21T20:25:16.8398834Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler 2025-03-21T20:25:16.8399762Z 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 2025-03-21T20:25:16.8400740Z 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 2025-03-21T20:25:16.8401118Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition 2025-03-21T20:25:16.8402020Z 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 2025-03-21T20:25:16.8402964Z 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 2025-03-21T20:25:16.8403323Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer 2025-03-21T20:25:16.8404164Z 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 2025-03-21T20:25:16.8405151Z 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 2025-03-21T20:25:16.8405452Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test 2025-03-21T20:25:16.8406424Z 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 2025-03-21T20:25:16.8407292Z 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 2025-03-21T20:25:16.8407652Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime 2025-03-21T20:25:16.8408075Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/inmemoryfs 2025-03-21T20:25:16.8409030Z 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 2025-03-21T20:25:16.8409434Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime/test 2025-03-21T20:25:16.8410472Z 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 2025-03-21T20:25:16.8411331Z 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 2025-03-21T20:25:16.8411591Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence 2025-03-21T20:25:16.8411923Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot 2025-03-21T20:25:16.8412586Z 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 2025-03-21T20:25:16.8413259Z 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 2025-03-21T20:25:16.8414115Z 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 2025-03-21T20:25:16.8415037Z 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 2025-03-21T20:25:16.8415869Z 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 2025-03-21T20:25:16.8416871Z 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 2025-03-21T20:25:16.8417670Z 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 2025-03-21T20:25:16.8418684Z 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 2025-03-21T20:25:16.8419485Z 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 2025-03-21T20:25:16.8420325Z 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 2025-03-21T20:25:16.8421079Z 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 2025-03-21T20:25:16.8422093Z 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 2025-03-21T20:25:16.8422860Z 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 2025-03-21T20:25:16.8423642Z 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 2025-03-21T20:25:16.8424412Z 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 2025-03-21T20:25:16.8425284Z 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 2025-03-21T20:25:16.8425987Z 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 2025-03-21T20:25:16.8426438Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/quantizer 2025-03-21T20:25:16.8427344Z 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 2025-03-21T20:25:16.8428354Z 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 2025-03-21T20:25:16.8429215Z 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 2025-03-21T20:25:16.8430092Z 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 2025-03-21T20:25:16.8430382Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot/tests 2025-03-21T20:25:16.8431342Z 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 2025-03-21T20:25:16.8432217Z 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 2025-03-21T20:25:16.8433270Z 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 2025-03-21T20:25:16.8434360Z 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 2025-03-21T20:25:16.8435983Z 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 2025-03-21T20:25:16.8436852Z 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 2025-03-21T20:25:16.8437718Z 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 2025-03-21T20:25:16.8438605Z 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 2025-03-21T20:25:16.8439482Z 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 2025-03-21T20:25:16.8440319Z 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 2025-03-21T20:25:16.8441231Z 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 2025-03-21T20:25:16.8441519Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/runtime 2025-03-21T20:25:16.8442401Z 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 2025-03-21T20:25:16.8443137Z 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 2025-03-21T20:25:16.8444093Z 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 2025-03-21T20:25:16.8444860Z 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 2025-03-21T20:25:16.8445174Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils 2025-03-21T20:25:16.8446052Z 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 2025-03-21T20:25:16.8446890Z 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 2025-03-21T20:25:16.8447777Z 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 2025-03-21T20:25:16.8448166Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO 2025-03-21T20:25:16.8449008Z 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 2025-03-21T20:25:16.8449367Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/calibrator 2025-03-21T20:25:16.8450474Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/calibrator/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/calibrator 2025-03-21T20:25:16.8451543Z 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 2025-03-21T20:25:16.8451976Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/examples 2025-03-21T20:25:16.8452837Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/examples/example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/examples 2025-03-21T20:25:16.8454034Z 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 2025-03-21T20:25:16.8455102Z 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 2025-03-21T20:25:16.8455441Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto 2025-03-21T20:25:16.8456298Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto 2025-03-21T20:25:16.8456780Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-03-21T20:25:16.8457713Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen 2025-03-21T20:25:16.8458368Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-03-21T20:25:16.8459456Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple 2025-03-21T20:25:16.8460717Z 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 2025-03-21T20:25:16.8461832Z 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 2025-03-21T20:25:16.8462286Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-03-21T20:25:16.8463439Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/argument 2025-03-21T20:25:16.8464479Z 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 2025-03-21T20:25:16.8465574Z 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 2025-03-21T20:25:16.8466947Z 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 2025-03-21T20:25:16.8467391Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-03-21T20:25:16.8468516Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute 2025-03-21T20:25:16.8469566Z 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 2025-03-21T20:25:16.8470854Z 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 2025-03-21T20:25:16.8472366Z 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 2025-03-21T20:25:16.8472891Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-03-21T20:25:16.8474021Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/specs 2025-03-21T20:25:16.8475099Z 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 2025-03-21T20:25:16.8475526Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-03-21T20:25:16.8476633Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/utils 2025-03-21T20:25:16.8477668Z 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 2025-03-21T20:25:16.8478182Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-03-21T20:25:16.8479209Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-03-21T20:25:16.8480393Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-03-21T20:25:16.8481504Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-03-21T20:25:16.8482584Z 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 2025-03-21T20:25:16.8483749Z 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 2025-03-21T20:25:16.8484869Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-03-21T20:25:16.8485956Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/inputgen/variable 2025-03-21T20:25:16.8486372Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:16.8487243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/db.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:16.8488315Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/default.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:16.8489419Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/facto/specdb 2025-03-21T20:25:16.8490318Z 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 2025-03-21T20:25:16.8490649Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/test 2025-03-21T20:25:16.8491108Z creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8492083Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8493201Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8494255Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8495254Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8496349Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8497367Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8521776Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8522729Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8523685Z 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 2025-03-21T20:25:16.8524599Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8525582Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8526601Z 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 2025-03-21T20:25:16.8527619Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8528867Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8530120Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/backends/cadence/utils/FACTO/test/inputgen 2025-03-21T20:25:16.8530366Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen 2025-03-21T20:25:16.8530897Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen 2025-03-21T20:25:16.8531137Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools 2025-03-21T20:25:16.8531817Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-03-21T20:25:16.8532433Z 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 2025-03-21T20:25:16.8533233Z 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 2025-03-21T20:25:16.8533857Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_ops_def.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-03-21T20:25:16.8534719Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-03-21T20:25:16.8535350Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/merge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-03-21T20:25:16.8535969Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/yaml_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools 2025-03-21T20:25:16.8536348Z creating pip-out/bdist.linux-x86_64/wheel/executorch/codegen/tools/test 2025-03-21T20:25:16.8537169Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_all_oplist.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test 2025-03-21T20:25:16.8538039Z 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 2025-03-21T20:25:16.8538762Z 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 2025-03-21T20:25:16.8539677Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/codegen/tools/test/test_gen_selected_op_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/codegen/tools/test 2025-03-21T20:25:16.8539902Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples 2025-03-21T20:25:16.8540157Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple 2025-03-21T20:25:16.8540422Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple/coreml 2025-03-21T20:25:16.8540734Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/apple/coreml/llama 2025-03-21T20:25:16.8541650Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/export.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-03-21T20:25:16.8542456Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/llama_transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-03-21T20:25:16.8543349Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/run.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-03-21T20:25:16.8544198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-03-21T20:25:16.8545150Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/apple/coreml/llama/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/apple/coreml/llama 2025-03-21T20:25:16.8545522Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8546410Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8547146Z 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 2025-03-21T20:25:16.8548085Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/model_loading_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8548792Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/runner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8549712Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/training_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8550497Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/phi3_alpaca_code_config.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8551424Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/phi3_config.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8552166Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/llm_pte_finetuning/qwen_05b_config.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/llm_pte_finetuning 2025-03-21T20:25:16.8552430Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models 2025-03-21T20:25:16.8553304Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-03-21T20:25:16.8553948Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/checkpoint.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-03-21T20:25:16.8554747Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/model_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-03-21T20:25:16.8555397Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/model_factory.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models 2025-03-21T20:25:16.8555689Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/deeplab_v3 2025-03-21T20:25:16.8556579Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/deeplab_v3 2025-03-21T20:25:16.8557279Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/deeplab_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/deeplab_v3 2025-03-21T20:25:16.8557552Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/edsr 2025-03-21T20:25:16.8558381Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/edsr 2025-03-21T20:25:16.8604084Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/edsr/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/edsr 2025-03-21T20:25:16.8604441Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/efficient_sam 2025-03-21T20:25:16.8605435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam 2025-03-21T20:25:16.8606305Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam 2025-03-21T20:25:16.8606788Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:16.8607837Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:16.8608956Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:16.8610140Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:16.8611272Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_encoder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:16.8612406Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/mlp.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:16.8613445Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/efficient_sam/efficient_sam_core/two_way_transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/efficient_sam/efficient_sam_core 2025-03-21T20:25:16.8613868Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/emformer_rnnt 2025-03-21T20:25:16.8614671Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/emformer_rnnt 2025-03-21T20:25:16.8615613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/emformer_rnnt/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/emformer_rnnt 2025-03-21T20:25:16.8615917Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v3 2025-03-21T20:25:16.8616724Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v3 2025-03-21T20:25:16.8617556Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v3 2025-03-21T20:25:16.8617935Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v4 2025-03-21T20:25:16.8618841Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v4 2025-03-21T20:25:16.8619649Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/inception_v4/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/inception_v4 2025-03-21T20:25:16.8619939Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama 2025-03-21T20:25:16.8620712Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8621481Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8622478Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/eval_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8623313Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/eval_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8624127Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/export_llama.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8624904Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/export_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8625794Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/fairseq2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8626645Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/install_requirement_helper.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8627445Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/llama_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8628257Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/llama_transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8629087Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8629851Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/model_args.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8630613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8631354Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/rope.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8632276Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/static_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama 2025-03-21T20:25:16.8632702Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/evaluate 2025-03-21T20:25:16.8633517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/evaluate 2025-03-21T20:25:16.8634418Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/evaluate/eager_eval.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/evaluate 2025-03-21T20:25:16.8634769Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/experimental 2025-03-21T20:25:16.8635815Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-03-21T20:25:16.8636728Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/load_gguf_q4_0.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-03-21T20:25:16.8637674Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/subclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-03-21T20:25:16.8638780Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/experimental/test_subclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/experimental 2025-03-21T20:25:16.8639174Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/runner 2025-03-21T20:25:16.8639984Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner/eager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/runner 2025-03-21T20:25:16.8640951Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner/generation.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/runner 2025-03-21T20:25:16.8641912Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/runner/native.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/runner 2025-03-21T20:25:16.8642330Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8643299Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8677313Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8678459Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8679475Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/attention_sink.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8680544Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/lora.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8681622Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/pre_quantization.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8682691Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/prune_vocab.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8683817Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/quantize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8684904Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/quantized_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8685965Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/rms_norm.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8686967Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/rope.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8688079Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8689206Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/spin_quant.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8690259Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/test_attention_sink.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8691670Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/test_quantized_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8692770Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/test_sdpa_with_quantized_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8693944Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/source_transformation/vulkan_rope.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/source_transformation 2025-03-21T20:25:16.8694256Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/tests 2025-03-21T20:25:16.8695298Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_pre_quantization_transforms.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-03-21T20:25:16.8696230Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_simple_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-03-21T20:25:16.8697274Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tests/test_static_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tests 2025-03-21T20:25:16.8697650Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama/tokenizer 2025-03-21T20:25:16.8698622Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama/tokenizer/tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama/tokenizer 2025-03-21T20:25:16.8698945Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision 2025-03-21T20:25:16.8699943Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision 2025-03-21T20:25:16.8700320Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:16.8701253Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:16.8702413Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:16.8703556Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:16.8704588Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/preprocess 2025-03-21T20:25:16.8705072Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:16.8705955Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/eager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:16.8707001Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/exported.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:16.8707969Z 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 2025-03-21T20:25:16.8709051Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/runner/native.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/runner 2025-03-21T20:25:16.8709573Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/text_decoder 2025-03-21T20:25:16.8710652Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder 2025-03-21T20:25:16.8711145Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/text_decoder/test 2025-03-21T20:25:16.8712315Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/text_decoder/test 2025-03-21T20:25:16.8713676Z 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 2025-03-21T20:25:16.8714083Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder 2025-03-21T20:25:16.8715229Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder 2025-03-21T20:25:16.8716193Z 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 2025-03-21T20:25:16.8716636Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-03-21T20:25:16.8717655Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llama3_2_vision/vision_encoder/test 2025-03-21T20:25:16.8772695Z 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 2025-03-21T20:25:16.8773157Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava 2025-03-21T20:25:16.8774011Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava 2025-03-21T20:25:16.8775010Z 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 2025-03-21T20:25:16.8775773Z 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 2025-03-21T20:25:16.8776640Z 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 2025-03-21T20:25:16.8777025Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava/test 2025-03-21T20:25:16.8778047Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/llava/test/test_llava.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/llava/test 2025-03-21T20:25:16.8778944Z 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 2025-03-21T20:25:16.8779367Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/lstm 2025-03-21T20:25:16.8780244Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/lstm/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/lstm 2025-03-21T20:25:16.8781066Z 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 2025-03-21T20:25:16.8781525Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert 2025-03-21T20:25:16.8782307Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilebert/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilebert 2025-03-21T20:25:16.8783208Z 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 2025-03-21T20:25:16.8783508Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2 2025-03-21T20:25:16.8784454Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v2 2025-03-21T20:25:16.8785189Z 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 2025-03-21T20:25:16.8785601Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3 2025-03-21T20:25:16.8786486Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/mobilenet_v3 2025-03-21T20:25:16.8787437Z 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 2025-03-21T20:25:16.8787851Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini-lora 2025-03-21T20:25:16.8788838Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini-lora/export_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini-lora 2025-03-21T20:25:16.8789199Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-3-mini 2025-03-21T20:25:16.8789996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-03-21T20:25:16.8790961Z 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 2025-03-21T20:25:16.8791682Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/phi_3_mini.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-03-21T20:25:16.8792684Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/static_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-03-21T20:25:16.8793479Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-3-mini/export_phi-3-mini.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-3-mini 2025-03-21T20:25:16.8793906Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/phi-4-mini 2025-03-21T20:25:16.8794761Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-4-mini 2025-03-21T20:25:16.8795845Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/phi-4-mini/convert_weights.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/phi-4-mini 2025-03-21T20:25:16.8796126Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/qwen2_5 2025-03-21T20:25:16.8797117Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/qwen2_5 2025-03-21T20:25:16.8797888Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/qwen2_5/convert_weights.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/qwen2_5 2025-03-21T20:25:16.8798355Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet 2025-03-21T20:25:16.8799169Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/resnet 2025-03-21T20:25:16.8799913Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/resnet/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/resnet 2025-03-21T20:25:16.8800236Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/test 2025-03-21T20:25:16.8801024Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/test 2025-03-21T20:25:16.8801754Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/test/test_export.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/test 2025-03-21T20:25:16.8802193Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit 2025-03-21T20:25:16.8802975Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/torchvision_vit 2025-03-21T20:25:16.8803839Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/torchvision_vit/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/torchvision_vit 2025-03-21T20:25:16.8804188Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model 2025-03-21T20:25:16.8804927Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/toy_model 2025-03-21T20:25:16.8805767Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/toy_model/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/toy_model 2025-03-21T20:25:16.8806063Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter 2025-03-21T20:25:16.8806841Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/wav2letter 2025-03-21T20:25:16.8807687Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/wav2letter/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/wav2letter 2025-03-21T20:25:16.8807973Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/moshi 2025-03-21T20:25:16.8808285Z creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/moshi/mimi 2025-03-21T20:25:16.8809196Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/examples/models/moshi/mimi/test_mimi.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/examples/models/moshi/mimi 2025-03-21T20:25:16.8809399Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir 2025-03-21T20:25:16.8809938Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8810517Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_warnings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8811000Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8811661Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/control_flow.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8858802Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8859641Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8860475Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8861037Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/error.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8861636Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8862321Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/graph_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8862886Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8863470Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8864205Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8864727Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_base.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8865460Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8866042Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/print_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8866912Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/scalar_type.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8867536Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8868066Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/sym_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8868760Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tensor.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8869296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tracer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8869865Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/types.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8870548Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8871023Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/wrap.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.8871372Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize 2025-03-21T20:25:16.8872160Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8872943Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8873754Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8874378Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8875249Z 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 2025-03-21T20:25:16.8876068Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8876964Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8877698Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/data_serializer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8878519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/padding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8878873Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test 2025-03-21T20:25:16.8879560Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize/test 2025-03-21T20:25:16.8880439Z 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 2025-03-21T20:25:16.8881203Z 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 2025-03-21T20:25:16.8882127Z 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 2025-03-21T20:25:16.8882800Z 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 2025-03-21T20:25:16.8883626Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/_serialize 2025-03-21T20:25:16.8884306Z 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 2025-03-21T20:25:16.8884592Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend 2025-03-21T20:25:16.8885426Z 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 2025-03-21T20:25:16.8886096Z 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 2025-03-21T20:25:16.8886960Z 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 2025-03-21T20:25:16.8887644Z 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 2025-03-21T20:25:16.8888483Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-03-21T20:25:16.8889062Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/backend 2025-03-21T20:25:16.8889473Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners 2025-03-21T20:25:16.8890588Z 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 2025-03-21T20:25:16.8891783Z 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 2025-03-21T20:25:16.8892902Z 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 2025-03-21T20:25:16.8894015Z 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 2025-03-21T20:25:16.8894505Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test 2025-03-21T20:25:16.8895294Z 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 2025-03-21T20:25:16.8896361Z 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 2025-03-21T20:25:16.8897085Z 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 2025-03-21T20:25:16.8898069Z 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 2025-03-21T20:25:16.8898819Z 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 2025-03-21T20:25:16.8955482Z 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 2025-03-21T20:25:16.8956239Z 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 2025-03-21T20:25:16.8956911Z 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 2025-03-21T20:25:16.8957617Z 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 2025-03-21T20:25:16.8958548Z 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 2025-03-21T20:25:16.8959421Z 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 2025-03-21T20:25:16.8960406Z 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 2025-03-21T20:25:16.8961194Z 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 2025-03-21T20:25:16.8962008Z 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 2025-03-21T20:25:16.8962863Z 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 2025-03-21T20:25:16.8963693Z 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 2025-03-21T20:25:16.8964565Z 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 2025-03-21T20:25:16.8965482Z 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 2025-03-21T20:25:16.8965784Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos 2025-03-21T20:25:16.8967252Z 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 2025-03-21T20:25:16.8968230Z 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 2025-03-21T20:25:16.8968637Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc 2025-03-21T20:25:16.8969806Z 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 2025-03-21T20:25:16.8970948Z 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 2025-03-21T20:25:16.8971749Z 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 2025-03-21T20:25:16.8972037Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture 2025-03-21T20:25:16.8972801Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-03-21T20:25:16.8973514Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-03-21T20:25:16.8974271Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-03-21T20:25:16.8974903Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/capture 2025-03-21T20:25:16.8975171Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects 2025-03-21T20:25:16.8975996Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects 2025-03-21T20:25:16.8976641Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/dialects 2025-03-21T20:25:16.8976911Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend 2025-03-21T20:25:16.8977840Z 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 2025-03-21T20:25:16.8978213Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test 2025-03-21T20:25:16.8979131Z 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 2025-03-21T20:25:16.8979517Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge 2025-03-21T20:25:16.8980205Z 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 2025-03-21T20:25:16.8980530Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg 2025-03-21T20:25:16.8981428Z 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 2025-03-21T20:25:16.8982313Z 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 2025-03-21T20:25:16.8982708Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype 2025-03-21T20:25:16.8983495Z 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 2025-03-21T20:25:16.8984640Z 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 2025-03-21T20:25:16.8985505Z 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 2025-03-21T20:25:16.8986018Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op 2025-03-21T20:25:16.8986768Z 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 2025-03-21T20:25:16.8987745Z 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 2025-03-21T20:25:16.8988112Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test 2025-03-21T20:25:16.8989008Z 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 2025-03-21T20:25:16.8989398Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec 2025-03-21T20:25:16.8990162Z 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 2025-03-21T20:25:16.8991128Z 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 2025-03-21T20:25:16.8991438Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test 2025-03-21T20:25:16.8992298Z 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 2025-03-21T20:25:16.8993293Z 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 2025-03-21T20:25:16.8994012Z 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 2025-03-21T20:25:16.8994384Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test 2025-03-21T20:25:16.8995295Z 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 2025-03-21T20:25:16.8995541Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit 2025-03-21T20:25:16.8996154Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit 2025-03-21T20:25:16.9051918Z 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 2025-03-21T20:25:16.9052893Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/emit 2025-03-21T20:25:16.9053269Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test 2025-03-21T20:25:16.9054035Z 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 2025-03-21T20:25:16.9054335Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator 2025-03-21T20:25:16.9055098Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator 2025-03-21T20:25:16.9055675Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator 2025-03-21T20:25:16.9056449Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/operator 2025-03-21T20:25:16.9056867Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test 2025-03-21T20:25:16.9057753Z 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 2025-03-21T20:25:16.9058163Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes 2025-03-21T20:25:16.9058946Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/passes 2025-03-21T20:25:16.9059859Z 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 2025-03-21T20:25:16.9060657Z 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 2025-03-21T20:25:16.9061430Z 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 2025-03-21T20:25:16.9062213Z 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 2025-03-21T20:25:16.9062962Z 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 2025-03-21T20:25:16.9063755Z 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 2025-03-21T20:25:16.9064546Z 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 2025-03-21T20:25:16.9065401Z 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 2025-03-21T20:25:16.9066129Z 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 2025-03-21T20:25:16.9067084Z 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 2025-03-21T20:25:16.9067756Z 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 2025-03-21T20:25:16.9068570Z 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 2025-03-21T20:25:16.9069240Z 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 2025-03-21T20:25:16.9070006Z 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 2025-03-21T20:25:16.9070743Z 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 2025-03-21T20:25:16.9071500Z 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 2025-03-21T20:25:16.9072256Z 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 2025-03-21T20:25:16.9073061Z 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 2025-03-21T20:25:16.9073924Z 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 2025-03-21T20:25:16.9074824Z 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 2025-03-21T20:25:16.9075757Z 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 2025-03-21T20:25:16.9076516Z 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 2025-03-21T20:25:16.9077428Z 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 2025-03-21T20:25:16.9078219Z 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 2025-03-21T20:25:16.9079054Z 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 2025-03-21T20:25:16.9079848Z 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 2025-03-21T20:25:16.9080629Z 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 2025-03-21T20:25:16.9081360Z 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 2025-03-21T20:25:16.9082016Z 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 2025-03-21T20:25:16.9082781Z 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 2025-03-21T20:25:16.9083524Z 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 2025-03-21T20:25:16.9083869Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program 2025-03-21T20:25:16.9084516Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program 2025-03-21T20:25:16.9085234Z 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 2025-03-21T20:25:16.9085883Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/program 2025-03-21T20:25:16.9086156Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test 2025-03-21T20:25:16.9086880Z 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 2025-03-21T20:25:16.9087640Z 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 2025-03-21T20:25:16.9088313Z 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 2025-03-21T20:25:16.9088539Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde 2025-03-21T20:25:16.9089192Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-03-21T20:25:16.9089957Z 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 2025-03-21T20:25:16.9090720Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-03-21T20:25:16.9091427Z 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 2025-03-21T20:25:16.9151702Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-03-21T20:25:16.9152392Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/union.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-03-21T20:25:16.9153261Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/serde/upgrade.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/serde 2025-03-21T20:25:16.9153490Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests 2025-03-21T20:25:16.9154206Z 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 2025-03-21T20:25:16.9154890Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-03-21T20:25:16.9155779Z 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 2025-03-21T20:25:16.9156670Z 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 2025-03-21T20:25:16.9157451Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-03-21T20:25:16.9158166Z 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 2025-03-21T20:25:16.9158810Z 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 2025-03-21T20:25:16.9159459Z 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 2025-03-21T20:25:16.9160156Z 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 2025-03-21T20:25:16.9160812Z 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 2025-03-21T20:25:16.9161547Z 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 2025-03-21T20:25:16.9162245Z 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 2025-03-21T20:25:16.9162963Z 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 2025-03-21T20:25:16.9163782Z 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 2025-03-21T20:25:16.9164503Z 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 2025-03-21T20:25:16.9165476Z 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 2025-03-21T20:25:16.9166182Z 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 2025-03-21T20:25:16.9167126Z 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 2025-03-21T20:25:16.9167946Z 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 2025-03-21T20:25:16.9168632Z 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 2025-03-21T20:25:16.9169399Z 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 2025-03-21T20:25:16.9170130Z 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 2025-03-21T20:25:16.9170892Z 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 2025-03-21T20:25:16.9171514Z 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 2025-03-21T20:25:16.9172237Z 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 2025-03-21T20:25:16.9172938Z 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 2025-03-21T20:25:16.9173496Z 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 2025-03-21T20:25:16.9174252Z 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 2025-03-21T20:25:16.9174830Z 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 2025-03-21T20:25:16.9175490Z 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 2025-03-21T20:25:16.9176207Z 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 2025-03-21T20:25:16.9176795Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/tests 2025-03-21T20:25:16.9177060Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification 2025-03-21T20:25:16.9177793Z 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 2025-03-21T20:25:16.9178434Z 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 2025-03-21T20:25:16.9179102Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification 2025-03-21T20:25:16.9179859Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir/verification 2025-03-21T20:25:16.9180139Z creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test 2025-03-21T20:25:16.9180866Z 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 2025-03-21T20:25:16.9181375Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/exir/delegate.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/exir 2025-03-21T20:25:16.9181597Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension 2025-03-21T20:25:16.9181883Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/android_test 2025-03-21T20:25:16.9182644Z 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 2025-03-21T20:25:16.9182926Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/export_util 2025-03-21T20:25:16.9183633Z 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 2025-03-21T20:25:16.9184299Z 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 2025-03-21T20:25:16.9184567Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor 2025-03-21T20:25:16.9185233Z 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 2025-03-21T20:25:16.9185548Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/serialize 2025-03-21T20:25:16.9186302Z 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 2025-03-21T20:25:16.9187110Z 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 2025-03-21T20:25:16.9187897Z 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 2025-03-21T20:25:16.9188670Z 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 2025-03-21T20:25:16.9418878Z 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 2025-03-21T20:25:16.9419254Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/flat_tensor/test 2025-03-21T20:25:16.9420110Z 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 2025-03-21T20:25:16.9420506Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util 2025-03-21T20:25:16.9421419Z 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 2025-03-21T20:25:16.9422281Z 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 2025-03-21T20:25:16.9423277Z 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 2025-03-21T20:25:16.9423623Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util/converters 2025-03-21T20:25:16.9424689Z 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 2025-03-21T20:25:16.9425043Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings 2025-03-21T20:25:16.9425866Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings 2025-03-21T20:25:16.9426218Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test 2025-03-21T20:25:16.9427074Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/make_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings/test 2025-03-21T20:25:16.9428230Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/test_backend_pybinding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings/test 2025-03-21T20:25:16.9429268Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings/test 2025-03-21T20:25:16.9430218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/pybindings.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings 2025-03-21T20:25:16.9431220Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pybindings 2025-03-21T20:25:16.9431494Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree 2025-03-21T20:25:16.9432110Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pytree 2025-03-21T20:25:16.9432399Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree/test 2025-03-21T20:25:16.9433274Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/pytree/test/test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/pytree/test 2025-03-21T20:25:16.9433637Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training 2025-03-21T20:25:16.9434391Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training 2025-03-21T20:25:16.9434715Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/pybindings 2025-03-21T20:25:16.9435613Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/_training_module.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/pybindings 2025-03-21T20:25:16.9436077Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/pybindings/test 2025-03-21T20:25:16.9436980Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/test/test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/pybindings/test 2025-03-21T20:25:16.9437808Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/pybindings/_training_lib.pyi -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/pybindings 2025-03-21T20:25:16.9438196Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/examples 2025-03-21T20:25:16.9438580Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/examples/XOR 2025-03-21T20:25:16.9439521Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/export_model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/examples/XOR 2025-03-21T20:25:16.9440377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/model.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/examples/XOR 2025-03-21T20:25:16.9440736Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/training/examples/XOR/test 2025-03-21T20:25:16.9441805Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/training/examples/XOR/test/test_export.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/training/examples/XOR/test 2025-03-21T20:25:16.9442045Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm 2025-03-21T20:25:16.9442334Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9443210Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9443990Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9444990Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/model_sharding.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9445911Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/op_tile_crop_aot.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9446851Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/preprocess_custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9447823Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9448663Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9449699Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/test_update_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9450040Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops/spinquant 2025-03-21T20:25:16.9450980Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops/spinquant 2025-03-21T20:25:16.9451543Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party 2025-03-21T20:25:16.9451999Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-03-21T20:25:16.9453088Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-03-21T20:25:16.9454143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops/spinquant/third-party/FFHT 2025-03-21T20:25:16.9454999Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/custom_ops 2025-03-21T20:25:16.9455282Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/export 2025-03-21T20:25:16.9455939Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-03-21T20:25:16.9456755Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/builder.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-03-21T20:25:16.9457468Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/export_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-03-21T20:25:16.9458296Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/partitioner_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-03-21T20:25:16.9510410Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/quantizer_lib.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-03-21T20:25:16.9511193Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/export/test_export_passes.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/export 2025-03-21T20:25:16.9511553Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/modules 2025-03-21T20:25:16.9512482Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-03-21T20:25:16.9513421Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/_position_embeddings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-03-21T20:25:16.9514294Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-03-21T20:25:16.9514982Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules 2025-03-21T20:25:16.9515326Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/modules/test 2025-03-21T20:25:16.9516130Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-03-21T20:25:16.9517000Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/test_attention.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-03-21T20:25:16.9517843Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/test_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-03-21T20:25:16.9518660Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/modules/test/test_position_embeddings.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/modules/test 2025-03-21T20:25:16.9518948Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizer 2025-03-21T20:25:16.9519833Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizer 2025-03-21T20:25:16.9520746Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/hf_tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizer 2025-03-21T20:25:16.9521584Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizer 2025-03-21T20:25:16.9522367Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizer 2025-03-21T20:25:16.9522691Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizer/test 2025-03-21T20:25:16.9523591Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizer/test/test_tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizer/test 2025-03-21T20:25:16.9523875Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers 2025-03-21T20:25:16.9524598Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers 2025-03-21T20:25:16.9525034Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:16.9526006Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:16.9526998Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:16.9527967Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:16.9529023Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers 2025-03-21T20:25:16.9529515Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools 2025-03-21T20:25:16.9530048Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-03-21T20:25:16.9531144Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-03-21T20:25:16.9532291Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c 2025-03-21T20:25:16.9532648Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party 2025-03-21T20:25:16.9533121Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-03-21T20:25:16.9534159Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-03-21T20:25:16.9535242Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp 2025-03-21T20:25:16.9535684Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-03-21T20:25:16.9536166Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-03-21T20:25:16.9537289Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-03-21T20:25:16.9538527Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts 2025-03-21T20:25:16.9539654Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl 2025-03-21T20:25:16.9540088Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json 2025-03-21T20:25:16.9540491Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs 2025-03-21T20:25:16.9541021Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs 2025-03-21T20:25:16.9541503Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-03-21T20:25:16.9542784Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts 2025-03-21T20:25:16.9543205Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests 2025-03-21T20:25:16.9543668Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty 2025-03-21T20:25:16.9544231Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-03-21T20:25:16.9545535Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl 2025-03-21T20:25:16.9546188Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools 2025-03-21T20:25:16.9547015Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-03-21T20:25:16.9548491Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate 2025-03-21T20:25:16.9549005Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-03-21T20:25:16.9606988Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer 2025-03-21T20:25:16.9607817Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-03-21T20:25:16.9609294Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis 2025-03-21T20:25:16.9610020Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-03-21T20:25:16.9611243Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/json/tools/serve_header 2025-03-21T20:25:16.9611743Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2 2025-03-21T20:25:16.9612174Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-03-21T20:25:16.9613476Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/benchlog 2025-03-21T20:25:16.9613901Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/python 2025-03-21T20:25:16.9615153Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/re2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-03-21T20:25:16.9616143Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-03-21T20:25:16.9617327Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python 2025-03-21T20:25:16.9617848Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-03-21T20:25:16.9619216Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/python/toolchains 2025-03-21T20:25:16.9619694Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/re2/re2 2025-03-21T20:25:16.9621012Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-03-21T20:25:16.9622506Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-03-21T20:25:16.9623779Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/re2/re2 2025-03-21T20:25:16.9624279Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece 2025-03-21T20:25:16.9624794Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-03-21T20:25:16.9625969Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python 2025-03-21T20:25:16.9626519Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-03-21T20:25:16.9627748Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-03-21T20:25:16.9629171Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test 2025-03-21T20:25:16.9629799Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src 2025-03-21T20:25:16.9630517Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-03-21T20:25:16.9632170Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-03-21T20:25:16.9633831Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-03-21T20:25:16.9635310Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-03-21T20:25:16.9636852Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece 2025-03-21T20:25:16.9637367Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/tools 2025-03-21T20:25:16.9637738Z creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/llm/tokenizers/tools/llama2c 2025-03-21T20:25:16.9638828Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/extension/llm/tokenizers/tools/llama2c/convert.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/extension/llm/tokenizers/tools/llama2c 2025-03-21T20:25:16.9639057Z creating pip-out/bdist.linux-x86_64/wheel/executorch/kernels 2025-03-21T20:25:16.9639311Z creating pip-out/bdist.linux-x86_64/wheel/executorch/kernels/quantized 2025-03-21T20:25:16.9640057Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized 2025-03-21T20:25:16.9640377Z creating pip-out/bdist.linux-x86_64/wheel/executorch/kernels/quantized/test 2025-03-21T20:25:16.9641496Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test/test_out_variants.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized/test 2025-03-21T20:25:16.9651678Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test/test_quant_dequant_per_token.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized/test 2025-03-21T20:25:16.9652825Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/test/supported_features_def.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized/test 2025-03-21T20:25:16.9653656Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/quantized.yaml -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized 2025-03-21T20:25:16.9654518Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/kernels/quantized/libquantized_ops_aot_lib.so -> pip-out/bdist.linux-x86_64/wheel/./executorch/kernels/quantized 2025-03-21T20:25:16.9654743Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools 2025-03-21T20:25:16.9655311Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools 2025-03-21T20:25:16.9655620Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/backend_debug 2025-03-21T20:25:16.9656512Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug 2025-03-21T20:25:16.9657309Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/delegation_info.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug 2025-03-21T20:25:16.9657787Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/backend_debug/tests 2025-03-21T20:25:16.9658597Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/backend_debug/tests/test_delegation_info.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/backend_debug/tests 2025-03-21T20:25:16.9705032Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program 2025-03-21T20:25:16.9705685Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.9706242Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/schema/test 2025-03-21T20:25:16.9707198Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/test/test_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema/test 2025-03-21T20:25:16.9708218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.9709312Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.9710251Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.9711236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/schema 2025-03-21T20:25:16.9711647Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/serialize 2025-03-21T20:25:16.9712017Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/serialize/test 2025-03-21T20:25:16.9713425Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/test/test_serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize/test 2025-03-21T20:25:16.9714539Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize 2025-03-21T20:25:16.9715445Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize 2025-03-21T20:25:16.9716532Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/serialize 2025-03-21T20:25:16.9716843Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/test 2025-03-21T20:25:16.9717640Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_bundle_data.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test 2025-03-21T20:25:16.9718649Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test 2025-03-21T20:25:16.9719435Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/test/test_end2end.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/test 2025-03-21T20:25:16.9719742Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/bundled_program/util 2025-03-21T20:25:16.9720590Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/util/test_util.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program/util 2025-03-21T20:25:16.9721405Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/config.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program 2025-03-21T20:25:16.9722242Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/core.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program 2025-03-21T20:25:16.9723075Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/bundled_program/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/bundled_program 2025-03-21T20:25:16.9723369Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/debug_format 2025-03-21T20:25:16.9724286Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format/base_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/debug_format 2025-03-21T20:25:16.9724957Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/debug_format/et_schema.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/debug_format 2025-03-21T20:25:16.9725264Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etdump 2025-03-21T20:25:16.9726016Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/schema_flatcc.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-03-21T20:25:16.9726696Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/serialize.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-03-21T20:25:16.9726966Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etdump/tests 2025-03-21T20:25:16.9727902Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/tests/serialize_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump/tests 2025-03-21T20:25:16.9728640Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-03-21T20:25:16.9729452Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etdump/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etdump 2025-03-21T20:25:16.9729970Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etrecord 2025-03-21T20:25:16.9730640Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord 2025-03-21T20:25:16.9731670Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/_etrecord.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord 2025-03-21T20:25:16.9731957Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/etrecord/tests 2025-03-21T20:25:16.9732799Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/etrecord/tests/etrecord_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/etrecord/tests 2025-03-21T20:25:16.9733111Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/inspector 2025-03-21T20:25:16.9733813Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-03-21T20:25:16.9734609Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_inspector.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-03-21T20:25:16.9735485Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/_inspector_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-03-21T20:25:16.9736255Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/inspector_cli.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector 2025-03-21T20:25:16.9736601Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/inspector/tests 2025-03-21T20:25:16.9737438Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/event_blocks_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-03-21T20:25:16.9738484Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-03-21T20:25:16.9739346Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/inspector/tests/inspector_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/inspector/tests 2025-03-21T20:25:16.9739738Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/size_analysis_tool 2025-03-21T20:25:16.9740512Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool/size_analysis_tool.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/size_analysis_tool 2025-03-21T20:25:16.9741461Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/size_analysis_tool/size_analysis_tool_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/size_analysis_tool 2025-03-21T20:25:16.9741839Z creating pip-out/bdist.linux-x86_64/wheel/executorch/devtools/visualization 2025-03-21T20:25:16.9742544Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization 2025-03-21T20:25:16.9743457Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization 2025-03-21T20:25:16.9744323Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/devtools/visualization/visualization_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/devtools/visualization 2025-03-21T20:25:16.9744581Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime 2025-03-21T20:25:16.9745326Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime 2025-03-21T20:25:16.9795698Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/test 2025-03-21T20:25:16.9797041Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/runtime/test/test_runtime.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/runtime/test 2025-03-21T20:25:16.9797421Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/kernel 2025-03-21T20:25:16.9797750Z creating pip-out/bdist.linux-x86_64/wheel/executorch/runtime/kernel/test 2025-03-21T20:25:16.9798830Z 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 2025-03-21T20:25:16.9799039Z creating pip-out/bdist.linux-x86_64/wheel/executorch/util 2025-03-21T20:25:16.9799831Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/activation_memory_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util 2025-03-21T20:25:16.9800471Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/collect_env.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util 2025-03-21T20:25:16.9801040Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/util/python_profiler.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/util 2025-03-21T20:25:16.9801315Z creating pip-out/bdist.linux-x86_64/wheel/executorch/schema 2025-03-21T20:25:16.9802027Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/program.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/schema 2025-03-21T20:25:16.9802586Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/./executorch/schema 2025-03-21T20:25:16.9803036Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/version.py -> pip-out/bdist.linux-x86_64/wheel/./executorch 2025-03-21T20:25:16.9803325Z creating pip-out/bdist.linux-x86_64/wheel/executorch/share 2025-03-21T20:25:16.9803593Z creating pip-out/bdist.linux-x86_64/wheel/executorch/share/cmake 2025-03-21T20:25:16.9804263Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/share/cmake/executorch-config.cmake -> pip-out/bdist.linux-x86_64/wheel/./executorch/share/cmake 2025-03-21T20:25:16.9804475Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include 2025-03-21T20:25:16.9804746Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch 2025-03-21T20:25:16.9805100Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime 2025-03-21T20:25:16.9805414Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9806218Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/array_ref.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9807084Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/data_loader.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9807890Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/defines.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9808732Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/error.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9809527Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/evalue.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9810394Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/event_tracer.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9811236Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/event_tracer_hooks.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9812169Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9813106Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/freeable_buffer.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9814101Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/hierarchical_allocator.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9814942Z 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 2025-03-21T20:25:16.9815954Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/named_data_map.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9816756Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/result.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9817753Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/span.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9818529Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/tag.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9819519Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/tensor_layout.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core 2025-03-21T20:25:16.9820585Z 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 2025-03-21T20:25:16.9821135Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten 2025-03-21T20:25:16.9822093Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/exec_aten.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten 2025-03-21T20:25:16.9822588Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-03-21T20:25:16.9823690Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-03-21T20:25:16.9824911Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/testing_util 2025-03-21T20:25:16.9825332Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/exec_aten/util 2025-03-21T20:25:16.9826459Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-03-21T20:25:16.9827442Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-03-21T20:25:16.9828662Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-03-21T20:25:16.9829717Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-03-21T20:25:16.9830905Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/exec_aten/util 2025-03-21T20:25:16.9831493Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9832757Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/bfloat16.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9833979Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9835127Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/bits_types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9868935Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/complex.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9870009Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/device.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9871019Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/half.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9872032Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/optional.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9873307Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/qint_types.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9874377Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9875417Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/scalar_type.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9876350Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/string_view.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9877367Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9878452Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_impl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9879465Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/tensor_options.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type 2025-03-21T20:25:16.9879904Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10 2025-03-21T20:25:16.9880359Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10 2025-03-21T20:25:16.9881099Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-03-21T20:25:16.9882386Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-03-21T20:25:16.9883811Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/macros 2025-03-21T20:25:16.9884309Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9885604Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9886909Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9888204Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9889387Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9890716Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9892053Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9893415Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9894629Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9895770Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/core/portable_type/c10/c10/util 2025-03-21T20:25:16.9896175Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.9897148Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_includes.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.9898119Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/kernel_runtime_context.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.9899163Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/operator_registry.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.9900292Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/thread_parallel_interface.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel 2025-03-21T20:25:16.9900691Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/kernel/test 2025-03-21T20:25:16.9901734Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/kernel/test/test_util.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/kernel/test 2025-03-21T20:25:16.9902080Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9903078Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/abort.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9903930Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/assert.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9905241Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/clock.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9906383Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compat_unistd.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9907248Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/compiler.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9908055Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/log.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9908907Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/include/executorch/runtime/platform/platform.h -> pip-out/bdist.linux-x86_64/wheel/./executorch/include/executorch/runtime/platform 2025-03-21T20:25:16.9909748Z 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 2025-03-21T20:25:17.0354355Z 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 2025-03-21T20:25:17.0356393Z 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 2025-03-21T20:25:17.0359550Z 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 2025-03-21T20:25:17.0362120Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/runtime/platform/test 2025-03-21T20:25:17.0364512Z 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 2025-03-21T20:25:17.0366419Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension 2025-03-21T20:25:17.0368245Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/kernel_util 2025-03-21T20:25:17.0370143Z 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 2025-03-21T20:25:17.0373731Z 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 2025-03-21T20:25:17.0377305Z 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 2025-03-21T20:25:17.0379219Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/tensor 2025-03-21T20:25:17.0381572Z 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 2025-03-21T20:25:17.0384259Z 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 2025-03-21T20:25:17.0387514Z 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 2025-03-21T20:25:17.0390669Z 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 2025-03-21T20:25:17.0393070Z creating pip-out/bdist.linux-x86_64/wheel/executorch/include/executorch/extension/threadpool 2025-03-21T20:25:17.0395348Z 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 2025-03-21T20:25:17.0398239Z 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 2025-03-21T20:25:17.0400652Z 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 2025-03-21T20:25:17.0402534Z creating pip-out/bdist.linux-x86_64/wheel/executorch/data 2025-03-21T20:25:17.0403086Z creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin 2025-03-21T20:25:17.0404414Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin 2025-03-21T20:25:17.0406255Z copying pip-out/lib.linux-x86_64-cpython-310/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/./executorch/data/bin 2025-03-21T20:25:17.0407215Z running install_egg_info 2025-03-21T20:25:17.0408305Z Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/./executorch-0.6.0a0+be92d7d-py3.10.egg-info 2025-03-21T20:25:17.0409469Z running install_scripts 2025-03-21T20:25:17.0410391Z creating pip-out/bdist.linux-x86_64/wheel/executorch-0.6.0a0+be92d7d.dist-info/WHEEL 2025-03-21T20:25:17.0411912Z creating '/tmp/pip-wheel-sjivzvek/.tmp-rmbieo3z/executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it 2025-03-21T20:25:17.0412963Z adding 'executorch/version.py' 2025-03-21T20:25:17.0413763Z adding 'executorch/backends/apple/coreml/executorchcoreml.pyi' 2025-03-21T20:25:17.0414795Z adding 'executorch/backends/apple/coreml/compiler/__init__.py' 2025-03-21T20:25:17.0415450Z adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py' 2025-03-21T20:25:17.0416091Z adding 'executorch/backends/apple/coreml/partition/__init__.py' 2025-03-21T20:25:17.0416737Z adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py' 2025-03-21T20:25:17.0417836Z adding 'executorch/backends/apple/coreml/quantizer/__init__.py' 2025-03-21T20:25:17.0418980Z adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py' 2025-03-21T20:25:17.0419684Z adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py' 2025-03-21T20:25:17.0420957Z adding 'executorch/backends/apple/coreml/runtime/test/export_stateful_model.py' 2025-03-21T20:25:17.0422157Z adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py' 2025-03-21T20:25:17.0423221Z adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py' 2025-03-21T20:25:17.0424262Z adding 'executorch/backends/apple/mps/__init__.py' 2025-03-21T20:25:17.0424867Z adding 'executorch/backends/apple/mps/mps_preprocess.py' 2025-03-21T20:25:17.0425875Z adding 'executorch/backends/apple/mps/operators/__init__.py' 2025-03-21T20:25:17.0426958Z adding 'executorch/backends/apple/mps/operators/activation_ops.py' 2025-03-21T20:25:17.0427616Z adding 'executorch/backends/apple/mps/operators/binary_ops.py' 2025-03-21T20:25:17.0428435Z adding 'executorch/backends/apple/mps/operators/clamp_ops.py' 2025-03-21T20:25:17.0429497Z adding 'executorch/backends/apple/mps/operators/constant_ops.py' 2025-03-21T20:25:17.0430589Z adding 'executorch/backends/apple/mps/operators/convolution_ops.py' 2025-03-21T20:25:17.0431743Z adding 'executorch/backends/apple/mps/operators/indexing_ops.py' 2025-03-21T20:25:17.0432521Z adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py' 2025-03-21T20:25:17.0433487Z adding 'executorch/backends/apple/mps/operators/node_visitor.py' 2025-03-21T20:25:17.0434629Z adding 'executorch/backends/apple/mps/operators/normalization_ops.py' 2025-03-21T20:25:17.0435494Z adding 'executorch/backends/apple/mps/operators/op_clone.py' 2025-03-21T20:25:17.0436073Z adding 'executorch/backends/apple/mps/operators/op_getitem.py' 2025-03-21T20:25:17.0436878Z adding 'executorch/backends/apple/mps/operators/op_quant_dequant.py' 2025-03-21T20:25:17.0438006Z adding 'executorch/backends/apple/mps/operators/op_skip_ops.py' 2025-03-21T20:25:17.0438815Z adding 'executorch/backends/apple/mps/operators/pad_ops.py' 2025-03-21T20:25:17.0439722Z adding 'executorch/backends/apple/mps/operators/pooling_ops.py' 2025-03-21T20:25:17.0440781Z adding 'executorch/backends/apple/mps/operators/range_ops.py' 2025-03-21T20:25:17.0441477Z adding 'executorch/backends/apple/mps/operators/reduce_ops.py' 2025-03-21T20:25:17.0442451Z adding 'executorch/backends/apple/mps/operators/shape_ops.py' 2025-03-21T20:25:17.0443467Z adding 'executorch/backends/apple/mps/operators/unary_ops.py' 2025-03-21T20:25:17.0444190Z adding 'executorch/backends/apple/mps/partition/__init__.py' 2025-03-21T20:25:17.0445284Z adding 'executorch/backends/apple/mps/partition/mps_partitioner.py' 2025-03-21T20:25:17.0446276Z adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py' 2025-03-21T20:25:17.0447205Z adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py' 2025-03-21T20:25:17.0448401Z adding 'executorch/backends/apple/mps/serialization/schema.fbs' 2025-03-21T20:25:17.0449351Z adding 'executorch/backends/apple/mps/test/test_mps.py' 2025-03-21T20:25:17.0450375Z adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py' 2025-03-21T20:25:17.0451316Z adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py' 2025-03-21T20:25:17.0452009Z adding 'executorch/backends/apple/mps/test/test_mps_linear.py' 2025-03-21T20:25:17.0452565Z adding 'executorch/backends/apple/mps/test/test_mps_models.py' 2025-03-21T20:25:17.0453154Z adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py' 2025-03-21T20:25:17.0453733Z adding 'executorch/backends/apple/mps/test/test_mps_utils.py' 2025-03-21T20:25:17.0454377Z adding 'executorch/backends/apple/mps/utils/mps_utils.py' 2025-03-21T20:25:17.0454971Z adding 'executorch/backends/apple/mps/utils/quant_utils.py' 2025-03-21T20:25:17.0455450Z adding 'executorch/backends/arm/arm_backend.py' 2025-03-21T20:25:17.0455882Z adding 'executorch/backends/arm/arm_vela.py' 2025-03-21T20:25:17.0456455Z adding 'executorch/backends/arm/ethosu_backend.py' 2025-03-21T20:25:17.0456939Z adding 'executorch/backends/arm/ethosu_partitioner.py' 2025-03-21T20:25:17.0457413Z adding 'executorch/backends/arm/process_node.py' 2025-03-21T20:25:17.0457977Z adding 'executorch/backends/arm/tosa_backend.py' 2025-03-21T20:25:17.0458466Z adding 'executorch/backends/arm/tosa_mapping.py' 2025-03-21T20:25:17.0458931Z adding 'executorch/backends/arm/tosa_partitioner.py' 2025-03-21T20:25:17.0459404Z adding 'executorch/backends/arm/tosa_quant_utils.py' 2025-03-21T20:25:17.0459888Z adding 'executorch/backends/arm/tosa_specification.py' 2025-03-21T20:25:17.0460409Z adding 'executorch/backends/arm/tosa_utils.py' 2025-03-21T20:25:17.0460924Z adding 'executorch/backends/arm/_passes/_debug_passes.py' 2025-03-21T20:25:17.0461549Z adding 'executorch/backends/arm/_passes/annotate_channels_last_dim_order_pass.py' 2025-03-21T20:25:17.0462249Z adding 'executorch/backends/arm/_passes/annotate_decomposed_matmul.py' 2025-03-21T20:25:17.0462851Z adding 'executorch/backends/arm/_passes/arm_pass_manager.py' 2025-03-21T20:25:17.0463388Z adding 'executorch/backends/arm/_passes/arm_pass_utils.py' 2025-03-21T20:25:17.0730088Z adding 'executorch/backends/arm/_passes/cast_int64_pass.py' 2025-03-21T20:25:17.0731172Z adding 'executorch/backends/arm/_passes/conv1d_unsqueeze_pass.py' 2025-03-21T20:25:17.0731945Z adding 'executorch/backends/arm/_passes/convert_any_default_dim_dims_pass.py' 2025-03-21T20:25:17.0732641Z adding 'executorch/backends/arm/_passes/convert_expand_copy_to_repeat.py' 2025-03-21T20:25:17.0733323Z adding 'executorch/backends/arm/_passes/convert_full_like_to_full_pass.py' 2025-03-21T20:25:17.0733949Z adding 'executorch/backends/arm/_passes/convert_minmax_pass.py' 2025-03-21T20:25:17.0734641Z adding 'executorch/backends/arm/_passes/convert_split_to_slice.py' 2025-03-21T20:25:17.0735257Z adding 'executorch/backends/arm/_passes/convert_squeezes_to_view.py' 2025-03-21T20:25:17.0735831Z adding 'executorch/backends/arm/_passes/convert_to_clamp.py' 2025-03-21T20:25:17.0736415Z adding 'executorch/backends/arm/_passes/decompose_batchnorm_pass.py' 2025-03-21T20:25:17.0737013Z adding 'executorch/backends/arm/_passes/decompose_div_pass.py' 2025-03-21T20:25:17.0737771Z adding 'executorch/backends/arm/_passes/decompose_layernorm_pass.py' 2025-03-21T20:25:17.0738385Z adding 'executorch/backends/arm/_passes/decompose_linear_pass.py' 2025-03-21T20:25:17.0738985Z adding 'executorch/backends/arm/_passes/decompose_meandim_pass.py' 2025-03-21T20:25:17.0739550Z adding 'executorch/backends/arm/_passes/decompose_select.py' 2025-03-21T20:25:17.0740134Z adding 'executorch/backends/arm/_passes/decompose_softmax_pass.py' 2025-03-21T20:25:17.0740856Z adding 'executorch/backends/arm/_passes/decompose_softmax_unstable_pass.py' 2025-03-21T20:25:17.0741726Z adding 'executorch/backends/arm/_passes/decompose_var_pass.py' 2025-03-21T20:25:17.0742774Z adding 'executorch/backends/arm/_passes/fold_qdq_with_annotated_qparams_pass.py' 2025-03-21T20:25:17.0743933Z adding 'executorch/backends/arm/_passes/fuse_batchnorm2d_pass.py' 2025-03-21T20:25:17.0745014Z adding 'executorch/backends/arm/_passes/fuse_constant_ops_pass.py' 2025-03-21T20:25:17.0746135Z adding 'executorch/backends/arm/_passes/fuse_quantized_activation_pass.py' 2025-03-21T20:25:17.0746940Z adding 'executorch/backends/arm/_passes/insert_rescales_pass.py' 2025-03-21T20:25:17.0747951Z adding 'executorch/backends/arm/_passes/insert_table_ops.py' 2025-03-21T20:25:17.0749005Z adding 'executorch/backends/arm/_passes/keep_dims_false_to_squeeze_pass.py' 2025-03-21T20:25:17.0750085Z adding 'executorch/backends/arm/_passes/match_arg_ranks_pass.py' 2025-03-21T20:25:17.0751219Z adding 'executorch/backends/arm/_passes/meandim_to_averagepool_pass.py' 2025-03-21T20:25:17.0751827Z adding 'executorch/backends/arm/_passes/mm_to_bmm_pass.py' 2025-03-21T20:25:17.0752369Z adding 'executorch/backends/arm/_passes/remove_clone_pass.py' 2025-03-21T20:25:17.0753277Z adding 'executorch/backends/arm/_passes/scalars_to_attribute_pass.py' 2025-03-21T20:25:17.0754408Z adding 'executorch/backends/arm/_passes/size_adjust_conv2d_pass.py' 2025-03-21T20:25:17.0755372Z adding 'executorch/backends/arm/_passes/unsqueeze_before_repeat_pass.py' 2025-03-21T20:25:17.0756793Z adding 'executorch/backends/arm/_passes/unsqueeze_scalar_placeholders_pass.py' 2025-03-21T20:25:17.0757887Z adding 'executorch/backends/arm/operator_support/__init__.py' 2025-03-21T20:25:17.0758908Z adding 'executorch/backends/arm/operator_support/convolution_support.py' 2025-03-21T20:25:17.0760300Z adding 'executorch/backends/arm/operator_support/minmax_support.py' 2025-03-21T20:25:17.0761074Z adding 'executorch/backends/arm/operator_support/pool_2d_support.py' 2025-03-21T20:25:17.0762234Z adding 'executorch/backends/arm/operator_support/reduce_sum_support.py' 2025-03-21T20:25:17.0763335Z adding 'executorch/backends/arm/operator_support/right_shift_support.py' 2025-03-21T20:25:17.0764433Z adding 'executorch/backends/arm/operator_support/slice_copy_support.py' 2025-03-21T20:25:17.0765627Z adding 'executorch/backends/arm/operator_support/to_copy_support.py' 2025-03-21T20:25:17.0766391Z adding 'executorch/backends/arm/operator_support/tosa_supported_operators.py' 2025-03-21T20:25:17.0767546Z adding 'executorch/backends/arm/operators/__init__.py' 2025-03-21T20:25:17.0768467Z adding 'executorch/backends/arm/operators/node_visitor.py' 2025-03-21T20:25:17.0769277Z adding 'executorch/backends/arm/operators/op_abs.py' 2025-03-21T20:25:17.0769828Z adding 'executorch/backends/arm/operators/op_add.py' 2025-03-21T20:25:17.0770329Z adding 'executorch/backends/arm/operators/op_amax.py' 2025-03-21T20:25:17.0770817Z adding 'executorch/backends/arm/operators/op_amin.py' 2025-03-21T20:25:17.0771288Z adding 'executorch/backends/arm/operators/op_any.py' 2025-03-21T20:25:17.0771803Z adding 'executorch/backends/arm/operators/op_avg_pool2d.py' 2025-03-21T20:25:17.0772422Z adding 'executorch/backends/arm/operators/op_bmm.py' 2025-03-21T20:25:17.0772956Z adding 'executorch/backends/arm/operators/op_cat.py' 2025-03-21T20:25:17.0773445Z adding 'executorch/backends/arm/operators/op_clamp.py' 2025-03-21T20:25:17.0773990Z adding 'executorch/backends/arm/operators/op_constant_pad_nd.py' 2025-03-21T20:25:17.0774599Z adding 'executorch/backends/arm/operators/op_conv2d.py' 2025-03-21T20:25:17.0775095Z adding 'executorch/backends/arm/operators/op_eq.py' 2025-03-21T20:25:17.0775569Z adding 'executorch/backends/arm/operators/op_exp.py' 2025-03-21T20:25:17.0776054Z adding 'executorch/backends/arm/operators/op_full.py' 2025-03-21T20:25:17.0776527Z adding 'executorch/backends/arm/operators/op_ge.py' 2025-03-21T20:25:17.0777041Z adding 'executorch/backends/arm/operators/op_get_item.py' 2025-03-21T20:25:17.0777670Z adding 'executorch/backends/arm/operators/op_gt.py' 2025-03-21T20:25:17.0778137Z adding 'executorch/backends/arm/operators/op_le.py' 2025-03-21T20:25:17.0778609Z adding 'executorch/backends/arm/operators/op_log.py' 2025-03-21T20:25:17.0779074Z adding 'executorch/backends/arm/operators/op_lt.py' 2025-03-21T20:25:17.0779561Z adding 'executorch/backends/arm/operators/op_max_pool2d.py' 2025-03-21T20:25:17.0780232Z adding 'executorch/backends/arm/operators/op_maximum.py' 2025-03-21T20:25:17.0780754Z adding 'executorch/backends/arm/operators/op_minimum.py' 2025-03-21T20:25:17.0781252Z adding 'executorch/backends/arm/operators/op_mul.py' 2025-03-21T20:25:17.0781748Z adding 'executorch/backends/arm/operators/op_permute.py' 2025-03-21T20:25:17.0782263Z adding 'executorch/backends/arm/operators/op_reciprocal.py' 2025-03-21T20:25:17.0782906Z adding 'executorch/backends/arm/operators/op_repeat.py' 2025-03-21T20:25:17.0783513Z adding 'executorch/backends/arm/operators/op_rescale.py' 2025-03-21T20:25:17.0784021Z adding 'executorch/backends/arm/operators/op_rshift.py' 2025-03-21T20:25:17.0784526Z adding 'executorch/backends/arm/operators/op_rsqrt.py' 2025-03-21T20:25:17.0785019Z adding 'executorch/backends/arm/operators/op_sigmoid.py' 2025-03-21T20:25:17.0785639Z adding 'executorch/backends/arm/operators/op_slice.py' 2025-03-21T20:25:17.0786129Z adding 'executorch/backends/arm/operators/op_sub.py' 2025-03-21T20:25:17.0786758Z adding 'executorch/backends/arm/operators/op_sum.py' 2025-03-21T20:25:17.0787250Z adding 'executorch/backends/arm/operators/op_table.py' 2025-03-21T20:25:17.0787734Z adding 'executorch/backends/arm/operators/op_tanh.py' 2025-03-21T20:25:17.0788400Z adding 'executorch/backends/arm/operators/op_to_copy.py' 2025-03-21T20:25:17.0789017Z adding 'executorch/backends/arm/operators/op_to_dim_order_copy.py' 2025-03-21T20:25:17.0789677Z adding 'executorch/backends/arm/operators/op_transpose.py' 2025-03-21T20:25:17.0790260Z adding 'executorch/backends/arm/operators/op_upsample_nearest2d.py' 2025-03-21T20:25:17.0790825Z adding 'executorch/backends/arm/operators/op_view.py' 2025-03-21T20:25:17.0791435Z adding 'executorch/backends/arm/operators/ops_binary.py' 2025-03-21T20:25:17.0791946Z adding 'executorch/backends/arm/operators/ops_unary.py' 2025-03-21T20:25:17.0792442Z adding 'executorch/backends/arm/quantizer/__init__.py' 2025-03-21T20:25:17.0793072Z adding 'executorch/backends/arm/quantizer/arm_quantizer.py' 2025-03-21T20:25:17.0793653Z adding 'executorch/backends/arm/quantizer/arm_quantizer_utils.py' 2025-03-21T20:25:17.0794410Z adding 'executorch/backends/arm/quantizer/quantization_annotator.py' 2025-03-21T20:25:17.0795118Z adding 'executorch/backends/arm/quantizer/quantization_config.py' 2025-03-21T20:25:17.0795645Z adding 'executorch/backends/arm/test/common.py' 2025-03-21T20:25:17.0796098Z adding 'executorch/backends/arm/test/conftest.py' 2025-03-21T20:25:17.0796559Z adding 'executorch/backends/arm/test/runner_utils.py' 2025-03-21T20:25:17.0797141Z adding 'executorch/backends/arm/test/test_model.py' 2025-03-21T20:25:17.0797662Z adding 'executorch/backends/arm/test/misc/test_custom_partition.py' 2025-03-21T20:25:17.0798246Z adding 'executorch/backends/arm/test/misc/test_debug_feats.py' 2025-03-21T20:25:17.0798829Z adding 'executorch/backends/arm/test/misc/test_dim_order_guards.py' 2025-03-21T20:25:17.0799426Z adding 'executorch/backends/arm/test/misc/test_lifted_tensor.py' 2025-03-21T20:25:17.0800205Z adding 'executorch/backends/arm/test/misc/test_model_evaluator.py' 2025-03-21T20:25:17.0800860Z adding 'executorch/backends/arm/test/misc/test_multiple_delegates.py' 2025-03-21T20:25:17.0801477Z adding 'executorch/backends/arm/test/misc/test_multiple_outputs.py' 2025-03-21T20:25:17.0802255Z adding 'executorch/backends/arm/test/misc/test_partition_decomposed_quantized_ops.py' 2025-03-21T20:25:17.0802977Z adding 'executorch/backends/arm/test/misc/test_tosa_spec.py' 2025-03-21T20:25:17.0803525Z adding 'executorch/backends/arm/test/models/test_conformer.py' 2025-03-21T20:25:17.0804073Z adding 'executorch/backends/arm/test/models/test_dl3_arm.py' 2025-03-21T20:25:17.0804593Z adding 'executorch/backends/arm/test/models/test_llama.py' 2025-03-21T20:25:17.0805258Z adding 'executorch/backends/arm/test/models/test_lstm_arm.py' 2025-03-21T20:25:17.0805927Z adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py' 2025-03-21T20:25:17.0806545Z adding 'executorch/backends/arm/test/models/test_nn_functional.py' 2025-03-21T20:25:17.0807144Z adding 'executorch/backends/arm/test/models/test_nn_modules.py' 2025-03-21T20:25:17.0807741Z adding 'executorch/backends/arm/test/models/test_torch_functions.py' 2025-03-21T20:25:17.0808437Z adding 'executorch/backends/arm/test/models/test_w2l_arm.py' 2025-03-21T20:25:17.0808949Z adding 'executorch/backends/arm/test/ops/test_abs.py' 2025-03-21T20:25:17.0809422Z adding 'executorch/backends/arm/test/ops/test_add.py' 2025-03-21T20:25:17.0809898Z adding 'executorch/backends/arm/test/ops/test_amax.py' 2025-03-21T20:25:17.0810379Z adding 'executorch/backends/arm/test/ops/test_amin.py' 2025-03-21T20:25:17.0810964Z adding 'executorch/backends/arm/test/ops/test_any.py' 2025-03-21T20:25:17.0811556Z adding 'executorch/backends/arm/test/ops/test_avg_pool2d.py' 2025-03-21T20:25:17.0812101Z adding 'executorch/backends/arm/test/ops/test_batch_norm.py' 2025-03-21T20:25:17.0812628Z adding 'executorch/backends/arm/test/ops/test_bitwise.py' 2025-03-21T20:25:17.0813222Z adding 'executorch/backends/arm/test/ops/test_bmm.py' 2025-03-21T20:25:17.0813810Z adding 'executorch/backends/arm/test/ops/test_cat.py' 2025-03-21T20:25:17.0814278Z adding 'executorch/backends/arm/test/ops/test_clamp.py' 2025-03-21T20:25:17.0814774Z adding 'executorch/backends/arm/test/ops/test_clone.py' 2025-03-21T20:25:17.0815374Z adding 'executorch/backends/arm/test/ops/test_constant_pad_nd.py' 2025-03-21T20:25:17.0815927Z adding 'executorch/backends/arm/test/ops/test_conv1d.py' 2025-03-21T20:25:17.1061966Z adding 'executorch/backends/arm/test/ops/test_conv2d.py' 2025-03-21T20:25:17.1062908Z adding 'executorch/backends/arm/test/ops/test_conv_combos.py' 2025-03-21T20:25:17.1063476Z adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py' 2025-03-21T20:25:17.1064087Z adding 'executorch/backends/arm/test/ops/test_div.py' 2025-03-21T20:25:17.1064744Z adding 'executorch/backends/arm/test/ops/test_eq.py' 2025-03-21T20:25:17.1065249Z adding 'executorch/backends/arm/test/ops/test_exp.py' 2025-03-21T20:25:17.1065753Z adding 'executorch/backends/arm/test/ops/test_expand.py' 2025-03-21T20:25:17.1066250Z adding 'executorch/backends/arm/test/ops/test_floor.py' 2025-03-21T20:25:17.1067048Z adding 'executorch/backends/arm/test/ops/test_full.py' 2025-03-21T20:25:17.1067658Z adding 'executorch/backends/arm/test/ops/test_ge.py' 2025-03-21T20:25:17.1068193Z adding 'executorch/backends/arm/test/ops/test_gt.py' 2025-03-21T20:25:17.1068714Z adding 'executorch/backends/arm/test/ops/test_hardsigmoid.py' 2025-03-21T20:25:17.1069271Z adding 'executorch/backends/arm/test/ops/test_hardswish.py' 2025-03-21T20:25:17.1069812Z adding 'executorch/backends/arm/test/ops/test_hardtanh.py' 2025-03-21T20:25:17.1070342Z adding 'executorch/backends/arm/test/ops/test_layer_norm.py' 2025-03-21T20:25:17.1070861Z adding 'executorch/backends/arm/test/ops/test_le.py' 2025-03-21T20:25:17.1071358Z adding 'executorch/backends/arm/test/ops/test_linear.py' 2025-03-21T20:25:17.1071866Z adding 'executorch/backends/arm/test/ops/test_log.py' 2025-03-21T20:25:17.1072374Z adding 'executorch/backends/arm/test/ops/test_logical.py' 2025-03-21T20:25:17.1073007Z adding 'executorch/backends/arm/test/ops/test_logsoftmax.py' 2025-03-21T20:25:17.1073526Z adding 'executorch/backends/arm/test/ops/test_lt.py' 2025-03-21T20:25:17.1074037Z adding 'executorch/backends/arm/test/ops/test_max_pool.py' 2025-03-21T20:25:17.1074568Z adding 'executorch/backends/arm/test/ops/test_maximum.py' 2025-03-21T20:25:17.1075095Z adding 'executorch/backends/arm/test/ops/test_mean_dim.py' 2025-03-21T20:25:17.1075615Z adding 'executorch/backends/arm/test/ops/test_minimum.py' 2025-03-21T20:25:17.1076100Z adding 'executorch/backends/arm/test/ops/test_mm.py' 2025-03-21T20:25:17.1076579Z adding 'executorch/backends/arm/test/ops/test_mul.py' 2025-03-21T20:25:17.1077081Z adding 'executorch/backends/arm/test/ops/test_permute.py' 2025-03-21T20:25:17.1077618Z adding 'executorch/backends/arm/test/ops/test_reciprocal.py' 2025-03-21T20:25:17.1078143Z adding 'executorch/backends/arm/test/ops/test_relu.py' 2025-03-21T20:25:17.1078630Z adding 'executorch/backends/arm/test/ops/test_repeat.py' 2025-03-21T20:25:17.1079184Z adding 'executorch/backends/arm/test/ops/test_rshift.py' 2025-03-21T20:25:17.1079880Z adding 'executorch/backends/arm/test/ops/test_rsqrt.py' 2025-03-21T20:25:17.1080399Z adding 'executorch/backends/arm/test/ops/test_scalars.py' 2025-03-21T20:25:17.1080916Z adding 'executorch/backends/arm/test/ops/test_select.py' 2025-03-21T20:25:17.1081430Z adding 'executorch/backends/arm/test/ops/test_sigmoid.py' 2025-03-21T20:25:17.1081967Z adding 'executorch/backends/arm/test/ops/test_sigmoid_16bit.py' 2025-03-21T20:25:17.1082544Z adding 'executorch/backends/arm/test/ops/test_sigmoid_32bit.py' 2025-03-21T20:25:17.1083100Z adding 'executorch/backends/arm/test/ops/test_slice.py' 2025-03-21T20:25:17.1083747Z adding 'executorch/backends/arm/test/ops/test_softmax.py' 2025-03-21T20:25:17.1084454Z adding 'executorch/backends/arm/test/ops/test_split.py' 2025-03-21T20:25:17.1084951Z adding 'executorch/backends/arm/test/ops/test_squeeze.py' 2025-03-21T20:25:17.1085454Z adding 'executorch/backends/arm/test/ops/test_sub.py' 2025-03-21T20:25:17.1085940Z adding 'executorch/backends/arm/test/ops/test_sum.py' 2025-03-21T20:25:17.1086428Z adding 'executorch/backends/arm/test/ops/test_tanh.py' 2025-03-21T20:25:17.1087006Z adding 'executorch/backends/arm/test/ops/test_to_copy.py' 2025-03-21T20:25:17.1087524Z adding 'executorch/backends/arm/test/ops/test_unsqueeze.py' 2025-03-21T20:25:17.1088113Z adding 'executorch/backends/arm/test/ops/test_upsample_nearest2d.py' 2025-03-21T20:25:17.1088678Z adding 'executorch/backends/arm/test/ops/test_var.py' 2025-03-21T20:25:17.1089169Z adding 'executorch/backends/arm/test/ops/test_view.py' 2025-03-21T20:25:17.1089737Z adding 'executorch/backends/arm/test/passes/test_cast_int64_pass.py' 2025-03-21T20:25:17.1090379Z adding 'executorch/backends/arm/test/passes/test_convert_to_clamp.py' 2025-03-21T20:25:17.1090998Z adding 'executorch/backends/arm/test/passes/test_fold_qdq_pass.py' 2025-03-21T20:25:17.1091817Z adding 'executorch/backends/arm/test/passes/test_fuse_batchnorm_pass.py' 2025-03-21T20:25:17.1092576Z adding 'executorch/backends/arm/test/passes/test_fuse_constant_ops_pass.py' 2025-03-21T20:25:17.1093279Z adding 'executorch/backends/arm/test/passes/test_insert_table_ops_pass.py' 2025-03-21T20:25:17.1093963Z adding 'executorch/backends/arm/test/passes/test_ioquantization_pass.py' 2025-03-21T20:25:17.1094664Z adding 'executorch/backends/arm/test/passes/test_meandim_to_averagepool2d.py' 2025-03-21T20:25:17.1095319Z adding 'executorch/backends/arm/test/passes/test_rescale_pass.py' 2025-03-21T20:25:17.1095997Z adding 'executorch/backends/arm/test/passes/test_unsqueeze_before_repeat_pass.py' 2025-03-21T20:25:17.1096727Z adding 'executorch/backends/arm/test/quantizer/test_generic_annotater.py' 2025-03-21T20:25:17.1097334Z adding 'executorch/backends/arm/test/tester/__init__.py' 2025-03-21T20:25:17.1097936Z adding 'executorch/backends/arm/test/tester/analyze_output_utils.py' 2025-03-21T20:25:17.1098638Z adding 'executorch/backends/arm/test/tester/arm_tester.py' 2025-03-21T20:25:17.1099187Z adding 'executorch/backends/arm/test/tester/test_pipeline.py' 2025-03-21T20:25:17.1099740Z adding 'executorch/backends/arm/test/tosautil/__init__.py' 2025-03-21T20:25:17.1100336Z adding 'executorch/backends/arm/third-party/serialization_lib/setup.py' 2025-03-21T20:25:17.1101110Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py' 2025-03-21T20:25:17.1102027Z adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py' 2025-03-21T20:25:17.1103029Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py' 2025-03-21T20:25:17.1103973Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py' 2025-03-21T20:25:17.1104819Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py' 2025-03-21T20:25:17.1105798Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py' 2025-03-21T20:25:17.1106736Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py' 2025-03-21T20:25:17.1107622Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py' 2025-03-21T20:25:17.1108498Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py' 2025-03-21T20:25:17.1109356Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py' 2025-03-21T20:25:17.1110289Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py' 2025-03-21T20:25:17.1111210Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py' 2025-03-21T20:25:17.1112300Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py' 2025-03-21T20:25:17.1113387Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py' 2025-03-21T20:25:17.1114259Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py' 2025-03-21T20:25:17.1115274Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py' 2025-03-21T20:25:17.1116206Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py' 2025-03-21T20:25:17.1117077Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py' 2025-03-21T20:25:17.1117951Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py' 2025-03-21T20:25:17.1118840Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py' 2025-03-21T20:25:17.1119743Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py' 2025-03-21T20:25:17.1120629Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py' 2025-03-21T20:25:17.1121486Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py' 2025-03-21T20:25:17.1122346Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py' 2025-03-21T20:25:17.1123224Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py' 2025-03-21T20:25:17.1124093Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py' 2025-03-21T20:25:17.1125119Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py' 2025-03-21T20:25:17.1125950Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py' 2025-03-21T20:25:17.1126790Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py' 2025-03-21T20:25:17.1127636Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py' 2025-03-21T20:25:17.1128467Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py' 2025-03-21T20:25:17.1129359Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py' 2025-03-21T20:25:17.1130319Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py' 2025-03-21T20:25:17.1131208Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py' 2025-03-21T20:25:17.1132062Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py' 2025-03-21T20:25:17.1132930Z adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py' 2025-03-21T20:25:17.1133706Z adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs' 2025-03-21T20:25:17.1134527Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py' 2025-03-21T20:25:17.1135574Z adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py' 2025-03-21T20:25:17.1136381Z adding 'executorch/backends/arm/util/arm_model_evaluator.py' 2025-03-21T20:25:17.1136889Z adding 'executorch/backends/cadence/aot/__init__.py' 2025-03-21T20:25:17.1137381Z adding 'executorch/backends/cadence/aot/compiler.py' 2025-03-21T20:25:17.1137894Z adding 'executorch/backends/cadence/aot/compiler_utils.py' 2025-03-21T20:25:17.1138434Z adding 'executorch/backends/cadence/aot/export_example.py' 2025-03-21T20:25:17.1483117Z adding 'executorch/backends/cadence/aot/functions.yaml' 2025-03-21T20:25:17.1484141Z adding 'executorch/backends/cadence/aot/functions_fusion_g3.yaml' 2025-03-21T20:25:17.1485027Z adding 'executorch/backends/cadence/aot/functions_hifi.yaml' 2025-03-21T20:25:17.1485541Z adding 'executorch/backends/cadence/aot/fuse_ops.py' 2025-03-21T20:25:17.1486214Z adding 'executorch/backends/cadence/aot/graph_builder.py' 2025-03-21T20:25:17.1486769Z adding 'executorch/backends/cadence/aot/memory_constraints.py' 2025-03-21T20:25:17.1487334Z adding 'executorch/backends/cadence/aot/memory_planning.py' 2025-03-21T20:25:17.1487917Z adding 'executorch/backends/cadence/aot/ops_registrations.py' 2025-03-21T20:25:17.1488594Z adding 'executorch/backends/cadence/aot/pass_utils.py' 2025-03-21T20:25:17.1489067Z adding 'executorch/backends/cadence/aot/passes.py' 2025-03-21T20:25:17.1489591Z adding 'executorch/backends/cadence/aot/ref_implementations.py' 2025-03-21T20:25:17.1490132Z adding 'executorch/backends/cadence/aot/remove_ops.py' 2025-03-21T20:25:17.1490772Z adding 'executorch/backends/cadence/aot/reorder_ops.py' 2025-03-21T20:25:17.1491278Z adding 'executorch/backends/cadence/aot/replace_ops.py' 2025-03-21T20:25:17.1491779Z adding 'executorch/backends/cadence/aot/simplify_ops.py' 2025-03-21T20:25:17.1492268Z adding 'executorch/backends/cadence/aot/utils.py' 2025-03-21T20:25:17.1492808Z adding 'executorch/backends/cadence/aot/quantizer/fusion_pass.py' 2025-03-21T20:25:17.1493491Z adding 'executorch/backends/cadence/aot/quantizer/patterns.py' 2025-03-21T20:25:17.1494079Z adding 'executorch/backends/cadence/aot/quantizer/quantizer.py' 2025-03-21T20:25:17.1494630Z adding 'executorch/backends/cadence/aot/quantizer/utils.py' 2025-03-21T20:25:17.1495247Z adding 'executorch/backends/cadence/aot/tests/test_fusion_ops_passes.py' 2025-03-21T20:25:17.1495908Z adding 'executorch/backends/cadence/aot/tests/test_graph_builder.py' 2025-03-21T20:25:17.1496644Z adding 'executorch/backends/cadence/aot/tests/test_memory_passes.py' 2025-03-21T20:25:17.1497286Z adding 'executorch/backends/cadence/aot/tests/test_pass_filter.py' 2025-03-21T20:25:17.1497929Z adding 'executorch/backends/cadence/aot/tests/test_remove_ops_passes.py' 2025-03-21T20:25:17.1498601Z adding 'executorch/backends/cadence/aot/tests/test_reorder_ops_passes.py' 2025-03-21T20:25:17.1499322Z adding 'executorch/backends/cadence/aot/tests/test_replace_ops_passes.py' 2025-03-21T20:25:17.1500074Z adding 'executorch/backends/cadence/aot/tests/test_simplify_ops_passes.py' 2025-03-21T20:25:17.1500686Z adding 'executorch/backends/cadence/runtime/__init__.py' 2025-03-21T20:25:17.1501205Z adding 'executorch/backends/cadence/runtime/executor.py' 2025-03-21T20:25:17.1501768Z adding 'executorch/backends/cadence/runtime/runtime.py' 2025-03-21T20:25:17.1502333Z adding 'executorch/backends/cadence/runtime/utils.py' 2025-03-21T20:25:17.1502833Z adding 'executorch/backends/cadence/utils/facto_util.py' 2025-03-21T20:25:17.1503344Z adding 'executorch/backends/cadence/utils/gen_header.py' 2025-03-21T20:25:17.1503889Z adding 'executorch/backends/cadence/utils/post_compilation.py' 2025-03-21T20:25:17.1504470Z adding 'executorch/backends/cadence/utils/FACTO/setup.py' 2025-03-21T20:25:17.1505110Z adding 'executorch/backends/cadence/utils/FACTO/calibrator/__init__.py' 2025-03-21T20:25:17.1505775Z adding 'executorch/backends/cadence/utils/FACTO/calibrator/runner.py' 2025-03-21T20:25:17.1506418Z adding 'executorch/backends/cadence/utils/FACTO/examples/example.py' 2025-03-21T20:25:17.1507232Z adding 'executorch/backends/cadence/utils/FACTO/examples/minimal_example.py' 2025-03-21T20:25:17.1507938Z adding 'executorch/backends/cadence/utils/FACTO/examples/random_seed.py' 2025-03-21T20:25:17.1508594Z adding 'executorch/backends/cadence/utils/FACTO/facto/__init__.py' 2025-03-21T20:25:17.1509288Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/__init__.py' 2025-03-21T20:25:17.1510093Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/__init__.py' 2025-03-21T20:25:17.1510893Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/engine.py' 2025-03-21T20:25:17.1511779Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argtuple/gen.py' 2025-03-21T20:25:17.1512654Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/__init__.py' 2025-03-21T20:25:17.1513557Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/engine.py' 2025-03-21T20:25:17.1514348Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/gen.py' 2025-03-21T20:25:17.1515165Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/argument/type.py' 2025-03-21T20:25:17.1516011Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/__init__.py' 2025-03-21T20:25:17.1516824Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/engine.py' 2025-03-21T20:25:17.1517753Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/model.py' 2025-03-21T20:25:17.1518545Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/attribute/solve.py' 2025-03-21T20:25:17.1519317Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/__init__.py' 2025-03-21T20:25:17.1520083Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/specs/model.py' 2025-03-21T20:25:17.1520939Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/__init__.py' 2025-03-21T20:25:17.1521747Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/utils/random_manager.py' 2025-03-21T20:25:17.1522571Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/__init__.py' 2025-03-21T20:25:17.1523393Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/constants.py' 2025-03-21T20:25:17.1524208Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/gen.py' 2025-03-21T20:25:17.1525055Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/solve.py' 2025-03-21T20:25:17.1525836Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/space.py' 2025-03-21T20:25:17.1526617Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/type.py' 2025-03-21T20:25:17.1527396Z adding 'executorch/backends/cadence/utils/FACTO/facto/inputgen/variable/utils.py' 2025-03-21T20:25:17.1528199Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/db.py' 2025-03-21T20:25:17.1528841Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/default.py' 2025-03-21T20:25:17.1529525Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/dtypes.py' 2025-03-21T20:25:17.1530339Z adding 'executorch/backends/cadence/utils/FACTO/facto/specdb/function.py' 2025-03-21T20:25:17.1531103Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_engine.py' 2025-03-21T20:25:17.1531954Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argtuple_generator.py' 2025-03-21T20:25:17.1532895Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_attributes.py' 2025-03-21T20:25:17.1533763Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_generator.py' 2025-03-21T20:25:17.1534611Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_argument_types.py' 2025-03-21T20:25:17.1535563Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_engine.py' 2025-03-21T20:25:17.1536405Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_attribute_solver.py' 2025-03-21T20:25:17.1537227Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_constraints.py' 2025-03-21T20:25:17.1538133Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_meta_arg_engine.py' 2025-03-21T20:25:17.1538893Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_specs.py' 2025-03-21T20:25:17.1539706Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_structural_engine.py' 2025-03-21T20:25:17.1540678Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_generation.py' 2025-03-21T20:25:17.1541534Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_solving.py' 2025-03-21T20:25:17.1542452Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_space.py' 2025-03-21T20:25:17.1543360Z adding 'executorch/backends/cadence/utils/FACTO/test/inputgen/test_variable_types.py' 2025-03-21T20:25:17.1544030Z adding 'executorch/backends/example/example_backend.py' 2025-03-21T20:25:17.1544680Z adding 'executorch/backends/example/example_partitioner.py' 2025-03-21T20:25:17.1545281Z adding 'executorch/backends/example/example_quantizer.py' 2025-03-21T20:25:17.1545834Z adding 'executorch/backends/example/test_example_delegate.py' 2025-03-21T20:25:17.1546533Z adding 'executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py' 2025-03-21T20:25:17.1547479Z adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py' 2025-03-21T20:25:17.1548361Z adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py' 2025-03-21T20:25:17.1549012Z adding 'executorch/backends/example/example_operators/add.py' 2025-03-21T20:25:17.1549595Z adding 'executorch/backends/example/example_operators/conv2d.py' 2025-03-21T20:25:17.1550331Z adding 'executorch/backends/example/example_operators/conv_relu.py' 2025-03-21T20:25:17.1550947Z adding 'executorch/backends/example/example_operators/dropout.py' 2025-03-21T20:25:17.1551541Z adding 'executorch/backends/example/example_operators/flatten.py' 2025-03-21T20:25:17.1552148Z adding 'executorch/backends/example/example_operators/linear.py' 2025-03-21T20:25:17.1552889Z adding 'executorch/backends/example/example_operators/op_base.py' 2025-03-21T20:25:17.1553537Z adding 'executorch/backends/example/example_operators/ops.py' 2025-03-21T20:25:17.1554109Z adding 'executorch/backends/example/example_operators/utils.py' 2025-03-21T20:25:17.1554621Z adding 'executorch/backends/mediatek/__init__.py' 2025-03-21T20:25:17.1555076Z adding 'executorch/backends/mediatek/partitioner.py' 2025-03-21T20:25:17.1555556Z adding 'executorch/backends/mediatek/preprocess.py' 2025-03-21T20:25:17.1556159Z adding 'executorch/backends/mediatek/_passes/__init__.py' 2025-03-21T20:25:17.1556827Z adding 'executorch/backends/mediatek/_passes/decompose_scaled_dot_product_attention.py' 2025-03-21T20:25:17.1557501Z adding 'executorch/backends/mediatek/quantizer/__init__.py' 2025-03-21T20:25:17.1558034Z adding 'executorch/backends/mediatek/quantizer/annotator.py' 2025-03-21T20:25:17.1558585Z adding 'executorch/backends/mediatek/quantizer/qconfig.py' 2025-03-21T20:25:17.1559126Z adding 'executorch/backends/mediatek/quantizer/quantizer.py' 2025-03-21T20:25:17.1559671Z adding 'executorch/backends/qualcomm/qnn_preprocess.py' 2025-03-21T20:25:17.1560182Z adding 'executorch/backends/qualcomm/_passes/__init__.py' 2025-03-21T20:25:17.1560838Z adding 'executorch/backends/qualcomm/_passes/annotate_decomposed.py' 2025-03-21T20:25:17.1882561Z adding 'executorch/backends/qualcomm/_passes/annotate_quant_attrs.py' 2025-03-21T20:25:17.1883605Z adding 'executorch/backends/qualcomm/_passes/build_quant_io.py' 2025-03-21T20:25:17.1884230Z adding 'executorch/backends/qualcomm/_passes/constant_i64_to_i32.py' 2025-03-21T20:25:17.1885002Z adding 'executorch/backends/qualcomm/_passes/convert_bmm_to_matmul.py' 2025-03-21T20:25:17.1885713Z adding 'executorch/backends/qualcomm/_passes/convert_interpolate_with_upsample2d.py' 2025-03-21T20:25:17.1886422Z adding 'executorch/backends/qualcomm/_passes/convert_to_linear.py' 2025-03-21T20:25:17.1887024Z adding 'executorch/backends/qualcomm/_passes/decompose_any.py' 2025-03-21T20:25:17.1887613Z adding 'executorch/backends/qualcomm/_passes/decompose_einsum.py' 2025-03-21T20:25:17.1888319Z adding 'executorch/backends/qualcomm/_passes/decompose_linalg_vector_norm.py' 2025-03-21T20:25:17.1889022Z adding 'executorch/backends/qualcomm/_passes/decompose_silu.py' 2025-03-21T20:25:17.1889662Z adding 'executorch/backends/qualcomm/_passes/expand_broadcast_tensor_shape.py' 2025-03-21T20:25:17.1890289Z adding 'executorch/backends/qualcomm/_passes/fold_qdq.py' 2025-03-21T20:25:17.1891049Z adding 'executorch/backends/qualcomm/_passes/fuse_consecutive_transpose.py' 2025-03-21T20:25:17.1891772Z adding 'executorch/backends/qualcomm/_passes/insert_io_qdq.py' 2025-03-21T20:25:17.1892407Z adding 'executorch/backends/qualcomm/_passes/insert_requantize.py' 2025-03-21T20:25:17.1893003Z adding 'executorch/backends/qualcomm/_passes/layout_transform.py' 2025-03-21T20:25:17.1893745Z adding 'executorch/backends/qualcomm/_passes/lift_constant_scalar_operands.py' 2025-03-21T20:25:17.1894497Z adding 'executorch/backends/qualcomm/_passes/recompose_pixel_unshuffle.py' 2025-03-21T20:25:17.1895191Z adding 'executorch/backends/qualcomm/_passes/recompose_prelu.py' 2025-03-21T20:25:17.1895798Z adding 'executorch/backends/qualcomm/_passes/recompose_rms_norm.py' 2025-03-21T20:25:17.1896421Z adding 'executorch/backends/qualcomm/_passes/reduce_dynamic_range.py' 2025-03-21T20:25:17.1897116Z adding 'executorch/backends/qualcomm/_passes/remove_redundancy.py' 2025-03-21T20:25:17.1897790Z adding 'executorch/backends/qualcomm/_passes/replace_index_put_input.py' 2025-03-21T20:25:17.1898440Z adding 'executorch/backends/qualcomm/_passes/replace_inf_buffer.py' 2025-03-21T20:25:17.1899053Z adding 'executorch/backends/qualcomm/_passes/tensor_i64_to_i32.py' 2025-03-21T20:25:17.1899631Z adding 'executorch/backends/qualcomm/_passes/utils.py' 2025-03-21T20:25:17.1900180Z adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs' 2025-03-21T20:25:17.1900680Z adding 'executorch/backends/qualcomm/builders/__init__.py' 2025-03-21T20:25:17.1901232Z adding 'executorch/backends/qualcomm/builders/node_visitor.py' 2025-03-21T20:25:17.1901822Z adding 'executorch/backends/qualcomm/builders/op_abs.py' 2025-03-21T20:25:17.1902490Z adding 'executorch/backends/qualcomm/builders/op_adaptive_avg_pool2d.py' 2025-03-21T20:25:17.1903082Z adding 'executorch/backends/qualcomm/builders/op_add.py' 2025-03-21T20:25:17.1903597Z adding 'executorch/backends/qualcomm/builders/op_arange.py' 2025-03-21T20:25:17.1904224Z adding 'executorch/backends/qualcomm/builders/op_argmin.py' 2025-03-21T20:25:17.1904790Z adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py' 2025-03-21T20:25:17.1905370Z adding 'executorch/backends/qualcomm/builders/op_batch_norm.py' 2025-03-21T20:25:17.1905914Z adding 'executorch/backends/qualcomm/builders/op_bmm.py' 2025-03-21T20:25:17.1906554Z adding 'executorch/backends/qualcomm/builders/op_cat.py' 2025-03-21T20:25:17.1907062Z adding 'executorch/backends/qualcomm/builders/op_ceil.py' 2025-03-21T20:25:17.1907592Z adding 'executorch/backends/qualcomm/builders/op_clamp.py' 2025-03-21T20:25:17.1908127Z adding 'executorch/backends/qualcomm/builders/op_conv2d.py' 2025-03-21T20:25:17.1908658Z adding 'executorch/backends/qualcomm/builders/op_cos.py' 2025-03-21T20:25:17.1909309Z adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py' 2025-03-21T20:25:17.1909908Z adding 'executorch/backends/qualcomm/builders/op_dequantize.py' 2025-03-21T20:25:17.1910461Z adding 'executorch/backends/qualcomm/builders/op_div.py' 2025-03-21T20:25:17.1911011Z adding 'executorch/backends/qualcomm/builders/op_embedding.py' 2025-03-21T20:25:17.1911562Z adding 'executorch/backends/qualcomm/builders/op_eq.py' 2025-03-21T20:25:17.1912094Z adding 'executorch/backends/qualcomm/builders/op_expand.py' 2025-03-21T20:25:17.1912908Z adding 'executorch/backends/qualcomm/builders/op_full.py' 2025-03-21T20:25:17.1913456Z adding 'executorch/backends/qualcomm/builders/op_full_like.py' 2025-03-21T20:25:17.1914003Z adding 'executorch/backends/qualcomm/builders/op_ge.py' 2025-03-21T20:25:17.1914521Z adding 'executorch/backends/qualcomm/builders/op_gelu.py' 2025-03-21T20:25:17.1915076Z adding 'executorch/backends/qualcomm/builders/op_group_norm.py' 2025-03-21T20:25:17.1915745Z adding 'executorch/backends/qualcomm/builders/op_gt.py' 2025-03-21T20:25:17.1916291Z adding 'executorch/backends/qualcomm/builders/op_hardsigmoid.py' 2025-03-21T20:25:17.1916880Z adding 'executorch/backends/qualcomm/builders/op_hardswish.py' 2025-03-21T20:25:17.1917550Z adding 'executorch/backends/qualcomm/builders/op_hardtanh.py' 2025-03-21T20:25:17.1918101Z adding 'executorch/backends/qualcomm/builders/op_index.py' 2025-03-21T20:25:17.1918649Z adding 'executorch/backends/qualcomm/builders/op_index_put.py' 2025-03-21T20:25:17.1918928Z adding 'executorch/backends/qualcomm/builders/op_instance_norm.py' 2025-03-21T20:25:17.1919259Z adding 'executorch/backends/qualcomm/builders/op_layer_norm.py' 2025-03-21T20:25:17.1919450Z adding 'executorch/backends/qualcomm/builders/op_le.py' 2025-03-21T20:25:17.1919649Z adding 'executorch/backends/qualcomm/builders/op_linear.py' 2025-03-21T20:25:17.1919853Z adding 'executorch/backends/qualcomm/builders/op_log.py' 2025-03-21T20:25:17.1920082Z adding 'executorch/backends/qualcomm/builders/op_log_softmax.py' 2025-03-21T20:25:17.1920324Z adding 'executorch/backends/qualcomm/builders/op_logical_not.py' 2025-03-21T20:25:17.1920512Z adding 'executorch/backends/qualcomm/builders/op_lt.py' 2025-03-21T20:25:17.1920737Z adding 'executorch/backends/qualcomm/builders/op_matmul.py' 2025-03-21T20:25:17.1920923Z adding 'executorch/backends/qualcomm/builders/op_max.py' 2025-03-21T20:25:17.1921149Z adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py' 2025-03-21T20:25:17.1921377Z adding 'executorch/backends/qualcomm/builders/op_mean_dim.py' 2025-03-21T20:25:17.1921568Z adding 'executorch/backends/qualcomm/builders/op_min.py' 2025-03-21T20:25:17.1921765Z adding 'executorch/backends/qualcomm/builders/op_mul.py' 2025-03-21T20:25:17.1921952Z adding 'executorch/backends/qualcomm/builders/op_ne.py' 2025-03-21T20:25:17.1922191Z adding 'executorch/backends/qualcomm/builders/op_neg.py' 2025-03-21T20:25:17.1922450Z adding 'executorch/backends/qualcomm/builders/op_or.py' 2025-03-21T20:25:17.1922682Z adding 'executorch/backends/qualcomm/builders/op_pad.py' 2025-03-21T20:25:17.1922882Z adding 'executorch/backends/qualcomm/builders/op_pow.py' 2025-03-21T20:25:17.1923082Z adding 'executorch/backends/qualcomm/builders/op_prelu.py' 2025-03-21T20:25:17.1923314Z adding 'executorch/backends/qualcomm/builders/op_quantize.py' 2025-03-21T20:25:17.1923508Z adding 'executorch/backends/qualcomm/builders/op_relu.py' 2025-03-21T20:25:17.1923712Z adding 'executorch/backends/qualcomm/builders/op_repeat.py' 2025-03-21T20:25:17.1923935Z adding 'executorch/backends/qualcomm/builders/op_reshape.py' 2025-03-21T20:25:17.1924149Z adding 'executorch/backends/qualcomm/builders/op_rms_norm.py' 2025-03-21T20:25:17.1924422Z adding 'executorch/backends/qualcomm/builders/op_rsqrt.py' 2025-03-21T20:25:17.1924651Z adding 'executorch/backends/qualcomm/builders/op_select_copy.py' 2025-03-21T20:25:17.1924872Z adding 'executorch/backends/qualcomm/builders/op_sigmoid.py' 2025-03-21T20:25:17.1925136Z adding 'executorch/backends/qualcomm/builders/op_sin.py' 2025-03-21T20:25:17.1925349Z adding 'executorch/backends/qualcomm/builders/op_skip_ops.py' 2025-03-21T20:25:17.1925587Z adding 'executorch/backends/qualcomm/builders/op_slice_copy.py' 2025-03-21T20:25:17.1925800Z adding 'executorch/backends/qualcomm/builders/op_softmax.py' 2025-03-21T20:25:17.1926054Z adding 'executorch/backends/qualcomm/builders/op_space_to_depth.py' 2025-03-21T20:25:17.1926309Z adding 'executorch/backends/qualcomm/builders/op_split_with_sizes.py' 2025-03-21T20:25:17.1926517Z adding 'executorch/backends/qualcomm/builders/op_sqrt.py' 2025-03-21T20:25:17.1926727Z adding 'executorch/backends/qualcomm/builders/op_squeeze.py' 2025-03-21T20:25:17.1926918Z adding 'executorch/backends/qualcomm/builders/op_sub.py' 2025-03-21T20:25:17.1927213Z adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py' 2025-03-21T20:25:17.1927411Z adding 'executorch/backends/qualcomm/builders/op_tanh.py' 2025-03-21T20:25:17.1927612Z adding 'executorch/backends/qualcomm/builders/op_to.py' 2025-03-21T20:25:17.1927859Z adding 'executorch/backends/qualcomm/builders/op_topk.py' 2025-03-21T20:25:17.1928101Z adding 'executorch/backends/qualcomm/builders/op_transpose.py' 2025-03-21T20:25:17.1928388Z adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py' 2025-03-21T20:25:17.1928659Z adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py' 2025-03-21T20:25:17.1928939Z adding 'executorch/backends/qualcomm/builders/op_upsample_nearest2d.py' 2025-03-21T20:25:17.1929136Z adding 'executorch/backends/qualcomm/builders/op_where.py' 2025-03-21T20:25:17.1929430Z adding 'executorch/backends/qualcomm/builders/qnn_constants.py' 2025-03-21T20:25:17.1929619Z adding 'executorch/backends/qualcomm/builders/utils.py' 2025-03-21T20:25:17.1929815Z adding 'executorch/backends/qualcomm/debugger/utils.py' 2025-03-21T20:25:17.1930033Z adding 'executorch/backends/qualcomm/partition/common_defs.py' 2025-03-21T20:25:17.1930319Z adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py' 2025-03-21T20:25:17.1930520Z adding 'executorch/backends/qualcomm/partition/utils.py' 2025-03-21T20:25:17.1930736Z adding 'executorch/backends/qualcomm/quantizer/annotators.py' 2025-03-21T20:25:17.1931080Z adding 'executorch/backends/qualcomm/quantizer/custom_annotation.py' 2025-03-21T20:25:17.1931282Z adding 'executorch/backends/qualcomm/quantizer/qconfig.py' 2025-03-21T20:25:17.1931506Z adding 'executorch/backends/qualcomm/quantizer/quantizer.py' 2025-03-21T20:25:17.1931864Z adding 'executorch/backends/qualcomm/quantizer/observers/per_channel_param_observer.py' 2025-03-21T20:25:17.1932139Z adding 'executorch/backends/qualcomm/serialization/qc_compiler_spec.fbs' 2025-03-21T20:25:17.1932383Z adding 'executorch/backends/qualcomm/serialization/qc_schema.py' 2025-03-21T20:25:17.1932664Z adding 'executorch/backends/qualcomm/serialization/qc_schema_serialize.py' 2025-03-21T20:25:17.1932851Z adding 'executorch/backends/qualcomm/tests/models.py' 2025-03-21T20:25:17.1933073Z adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py' 2025-03-21T20:25:17.1933256Z adding 'executorch/backends/qualcomm/tests/utils.py' 2025-03-21T20:25:17.1933449Z adding 'executorch/backends/qualcomm/utils/constants.py' 2025-03-21T20:25:17.1933622Z adding 'executorch/backends/qualcomm/utils/utils.py' 2025-03-21T20:25:17.1933796Z adding 'executorch/backends/transforms/__init__.py' 2025-03-21T20:25:17.1934004Z adding 'executorch/backends/transforms/addmm_mm_to_linear.py' 2025-03-21T20:25:17.2183475Z adding 'executorch/backends/transforms/convert_dtype_pass.py' 2025-03-21T20:25:17.2183856Z adding 'executorch/backends/transforms/decompose_sdpa.py' 2025-03-21T20:25:17.2184373Z adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py' 2025-03-21T20:25:17.2184838Z adding 'executorch/backends/transforms/fuse_batch_norm_with_conv.py' 2025-03-21T20:25:17.2185070Z adding 'executorch/backends/transforms/fuse_conv_with_clamp.py' 2025-03-21T20:25:17.2185290Z adding 'executorch/backends/transforms/fuse_dequant_linear.py' 2025-03-21T20:25:17.2185496Z adding 'executorch/backends/transforms/fuse_view_copy.py' 2025-03-21T20:25:17.2185702Z adding 'executorch/backends/transforms/mean_to_sum_div.py' 2025-03-21T20:25:17.2185903Z adding 'executorch/backends/transforms/rank_0_to_rank_1.py' 2025-03-21T20:25:17.2186118Z adding 'executorch/backends/transforms/remove_clone_ops.py' 2025-03-21T20:25:17.2186377Z adding 'executorch/backends/transforms/replace_scalar_with_tensor.py' 2025-03-21T20:25:17.2186541Z adding 'executorch/backends/transforms/utils.py' 2025-03-21T20:25:17.2186821Z adding 'executorch/backends/transforms/view_copy_to_squeeze_unsqueeze.py' 2025-03-21T20:25:17.2187174Z adding 'executorch/backends/transforms/test/test_create_delete_constant_placeholder.py' 2025-03-21T20:25:17.2187502Z adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py' 2025-03-21T20:25:17.2187820Z adding 'executorch/backends/transforms/test/test_rank_0_to_rank_1.py' 2025-03-21T20:25:17.2187976Z adding 'executorch/backends/vulkan/__init__.py' 2025-03-21T20:25:17.2188210Z adding 'executorch/backends/vulkan/custom_ops_lib.py' 2025-03-21T20:25:17.2188575Z adding 'executorch/backends/vulkan/op_registry.py' 2025-03-21T20:25:17.2188807Z adding 'executorch/backends/vulkan/utils.py' 2025-03-21T20:25:17.2189063Z adding 'executorch/backends/vulkan/vulkan_preprocess.py' 2025-03-21T20:25:17.2189249Z adding 'executorch/backends/vulkan/_passes/__init__.py' 2025-03-21T20:25:17.2189586Z adding 'executorch/backends/vulkan/_passes/insert_prepack_nodes.py' 2025-03-21T20:25:17.2189873Z adding 'executorch/backends/vulkan/_passes/int4_weight_only_quantizer.py' 2025-03-21T20:25:17.2190084Z adding 'executorch/backends/vulkan/_passes/remove_asserts.py' 2025-03-21T20:25:17.2190377Z adding 'executorch/backends/vulkan/_passes/remove_local_scalar_dense_ops.py' 2025-03-21T20:25:17.2190616Z adding 'executorch/backends/vulkan/_passes/remove_redundant_ops.py' 2025-03-21T20:25:17.2190946Z adding 'executorch/backends/vulkan/_passes/squeeze_unsqueeze_inputs.py' 2025-03-21T20:25:17.2191199Z adding 'executorch/backends/vulkan/_passes/tag_memory_meta_pass.py' 2025-03-21T20:25:17.2191522Z adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py' 2025-03-21T20:25:17.2191796Z adding 'executorch/backends/vulkan/quantizer/vulkan_quantizer.py' 2025-03-21T20:25:17.2192082Z adding 'executorch/backends/vulkan/runtime/gen_vulkan_spv.py' 2025-03-21T20:25:17.2192416Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_buffer.yaml' 2025-03-21T20:25:17.2192836Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_naive_texture3d.yaml' 2025-03-21T20:25:17.2193194Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/addmm_optimized.yaml' 2025-03-21T20:25:17.2193481Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/arange.yaml' 2025-03-21T20:25:17.2193909Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/avg_pool2d.yaml' 2025-03-21T20:25:17.2194244Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/batchnorm.yaml' 2025-03-21T20:25:17.2194520Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml' 2025-03-21T20:25:17.2195025Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/bitw8_image_to_nchw_nobitw8buffer.yaml' 2025-03-21T20:25:17.2195339Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_buffer.yaml' 2025-03-21T20:25:17.2195727Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/buffer_to_nchw.yaml' 2025-03-21T20:25:17.2195985Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml' 2025-03-21T20:25:17.2196281Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml' 2025-03-21T20:25:17.2196627Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml' 2025-03-21T20:25:17.2196953Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml' 2025-03-21T20:25:17.2197426Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml' 2025-03-21T20:25:17.2197787Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml' 2025-03-21T20:25:17.2198250Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_sned_output_tile.yaml' 2025-03-21T20:25:17.2198593Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml' 2025-03-21T20:25:17.2198965Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml' 2025-03-21T20:25:17.2199285Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml' 2025-03-21T20:25:17.2199781Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml' 2025-03-21T20:25:17.2200110Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml' 2025-03-21T20:25:17.2200478Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml' 2025-03-21T20:25:17.2200829Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_packed_dim_offset.yaml' 2025-03-21T20:25:17.2201185Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/embedding.yaml' 2025-03-21T20:25:17.2201537Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/flip.yaml' 2025-03-21T20:25:17.2201811Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml' 2025-03-21T20:25:17.2202158Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/grid_priors.yaml' 2025-03-21T20:25:17.2202593Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml' 2025-03-21T20:25:17.2202939Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select.yaml' 2025-03-21T20:25:17.2203281Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/index_select_channel.yaml' 2025-03-21T20:25:17.2203674Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/kv_cache_update.yaml' 2025-03-21T20:25:17.2203964Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml' 2025-03-21T20:25:17.2204278Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml' 2025-03-21T20:25:17.2204778Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_bitw8_image_nobitw8buffer.yaml' 2025-03-21T20:25:17.2205076Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_buffer.yaml' 2025-03-21T20:25:17.2205379Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml' 2025-03-21T20:25:17.2205630Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml' 2025-03-21T20:25:17.2206005Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_channel.yaml' 2025-03-21T20:25:17.2206326Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/pad_height_width.yaml' 2025-03-21T20:25:17.2206594Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml' 2025-03-21T20:25:17.2206904Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_4w_linear.yaml' 2025-03-21T20:25:17.2207188Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear.yaml' 2025-03-21T20:25:17.2207593Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/q_8w_linear_optimized.yaml' 2025-03-21T20:25:17.2207853Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/reduce.yaml' 2025-03-21T20:25:17.2208255Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml' 2025-03-21T20:25:17.2208574Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_interleave.yaml' 2025-03-21T20:25:17.2208995Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/rotary_embedding.yaml' 2025-03-21T20:25:17.2209392Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sdpa_attn_weight_scale_and_mask.yaml' 2025-03-21T20:25:17.2209698Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml' 2025-03-21T20:25:17.2210021Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml' 2025-03-21T20:25:17.2210334Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml' 2025-03-21T20:25:17.2210659Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml' 2025-03-21T20:25:17.2210972Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml' 2025-03-21T20:25:17.2211291Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml' 2025-03-21T20:25:17.2211590Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml' 2025-03-21T20:25:17.2211995Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_packed_dim.yaml' 2025-03-21T20:25:17.2212326Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_unpacked_dim.yaml' 2025-03-21T20:25:17.2212593Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax.yaml' 2025-03-21T20:25:17.2212875Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml' 2025-03-21T20:25:17.2213200Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/upsample_nearest2d.yaml' 2025-03-21T20:25:17.2213460Z adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml' 2025-03-21T20:25:17.2213768Z adding 'executorch/backends/vulkan/serialization/schema.fbs' 2025-03-21T20:25:17.2214046Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py' 2025-03-21T20:25:17.2214326Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py' 2025-03-21T20:25:17.2214616Z adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py' 2025-03-21T20:25:17.2214902Z adding 'executorch/backends/vulkan/test/test_serialization.py' 2025-03-21T20:25:17.2215129Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py' 2025-03-21T20:25:17.2215407Z adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py' 2025-03-21T20:25:17.2215621Z adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml' 2025-03-21T20:25:17.2215817Z adding 'executorch/backends/vulkan/test/op_tests/cases.py' 2025-03-21T20:25:17.2216114Z adding 'executorch/backends/vulkan/test/op_tests/generate_op_benchmarks.py' 2025-03-21T20:25:17.2216431Z adding 'executorch/backends/vulkan/test/op_tests/generate_op_correctness_tests.py' 2025-03-21T20:25:17.2216695Z adding 'executorch/backends/vulkan/test/op_tests/utils/aten_types.py' 2025-03-21T20:25:17.2216974Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_benchmark_vk.py' 2025-03-21T20:25:17.2600490Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_computegraph.py' 2025-03-21T20:25:17.2600986Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_base.py' 2025-03-21T20:25:17.2601560Z adding 'executorch/backends/vulkan/test/op_tests/utils/gen_correctness_vk.py' 2025-03-21T20:25:17.2601876Z adding 'executorch/backends/vulkan/test/op_tests/utils/test_suite.py' 2025-03-21T20:25:17.2602248Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py' 2025-03-21T20:25:17.2602609Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py' 2025-03-21T20:25:17.2603033Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py' 2025-03-21T20:25:17.2603364Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py' 2025-03-21T20:25:17.2603673Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py' 2025-03-21T20:25:17.2604027Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py' 2025-03-21T20:25:17.2604393Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py' 2025-03-21T20:25:17.2604852Z adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py' 2025-03-21T20:25:17.2605393Z adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py' 2025-03-21T20:25:17.2605630Z adding 'executorch/backends/vulkan/third-party/volk/generate.py' 2025-03-21T20:25:17.2605987Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_bandwidth.yaml' 2025-03-21T20:25:17.2606307Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/buf_cacheline_size.yaml' 2025-03-21T20:25:17.2606568Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/reg_count.yaml' 2025-03-21T20:25:17.2606853Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_bandwidth.yaml' 2025-03-21T20:25:17.2607166Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/tex_cacheline_concurr.yaml' 2025-03-21T20:25:17.2607435Z adding 'executorch/backends/vulkan/tools/gpuinfo/glsl/warp_size.yaml' 2025-03-21T20:25:17.2607653Z adding 'executorch/backends/xnnpack/__init__.py' 2025-03-21T20:25:17.2607913Z adding 'executorch/backends/xnnpack/xnnpack_preprocess.py' 2025-03-21T20:25:17.2608112Z adding 'executorch/backends/xnnpack/_passes/__init__.py' 2025-03-21T20:25:17.2608472Z adding 'executorch/backends/xnnpack/_passes/channels_last_tagged_reshape_pass.py' 2025-03-21T20:25:17.2608736Z adding 'executorch/backends/xnnpack/_passes/conv1d_unsqueeze_pass.py' 2025-03-21T20:25:17.2609032Z adding 'executorch/backends/xnnpack/_passes/convert_to_linear.py' 2025-03-21T20:25:17.2609432Z adding 'executorch/backends/xnnpack/_passes/convert_to_sdpa.py' 2025-03-21T20:25:17.2609730Z adding 'executorch/backends/xnnpack/_passes/convert_to_upsample_bilinear2d.py' 2025-03-21T20:25:17.2609956Z adding 'executorch/backends/xnnpack/_passes/decompose_cat.py' 2025-03-21T20:25:17.2610207Z adding 'executorch/backends/xnnpack/_passes/fuse_activation_pass.py' 2025-03-21T20:25:17.2610541Z adding 'executorch/backends/xnnpack/_passes/fuse_batch_norm_with_conv.py' 2025-03-21T20:25:17.2610794Z adding 'executorch/backends/xnnpack/_passes/prelu_reshape_pass.py' 2025-03-21T20:25:17.2611027Z adding 'executorch/backends/xnnpack/_passes/remove_getitem_op.py' 2025-03-21T20:25:17.2611288Z adding 'executorch/backends/xnnpack/_passes/tag_implicit_q_dq_pass.py' 2025-03-21T20:25:17.2611499Z adding 'executorch/backends/xnnpack/_passes/xnnpack_pass.py' 2025-03-21T20:25:17.2611710Z adding 'executorch/backends/xnnpack/operators/__init__.py' 2025-03-21T20:25:17.2611936Z adding 'executorch/backends/xnnpack/operators/node_visitor.py' 2025-03-21T20:25:17.2612129Z adding 'executorch/backends/xnnpack/operators/op_abs.py' 2025-03-21T20:25:17.2612331Z adding 'executorch/backends/xnnpack/operators/op_add.py' 2025-03-21T20:25:17.2612532Z adding 'executorch/backends/xnnpack/operators/op_addmm.py' 2025-03-21T20:25:17.2612787Z adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py' 2025-03-21T20:25:17.2612977Z adding 'executorch/backends/xnnpack/operators/op_bmm.py' 2025-03-21T20:25:17.2613181Z adding 'executorch/backends/xnnpack/operators/op_cat.py' 2025-03-21T20:25:17.2613434Z adding 'executorch/backends/xnnpack/operators/op_ceiling.py' 2025-03-21T20:25:17.2613651Z adding 'executorch/backends/xnnpack/operators/op_clamp.py' 2025-03-21T20:25:17.2613913Z adding 'executorch/backends/xnnpack/operators/op_conv2d.py' 2025-03-21T20:25:17.2614146Z adding 'executorch/backends/xnnpack/operators/op_div.py' 2025-03-21T20:25:17.2614450Z adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py' 2025-03-21T20:25:17.2614730Z adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py' 2025-03-21T20:25:17.2615007Z adding 'executorch/backends/xnnpack/operators/op_elu.py' 2025-03-21T20:25:17.2615211Z adding 'executorch/backends/xnnpack/operators/op_floor.py' 2025-03-21T20:25:17.2615434Z adding 'executorch/backends/xnnpack/operators/op_hardswish.py' 2025-03-21T20:25:17.2615655Z adding 'executorch/backends/xnnpack/operators/op_hardtanh.py' 2025-03-21T20:25:17.2615878Z adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py' 2025-03-21T20:25:17.2616092Z adding 'executorch/backends/xnnpack/operators/op_linear.py' 2025-03-21T20:25:17.2616377Z adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py' 2025-03-21T20:25:17.2616659Z adding 'executorch/backends/xnnpack/operators/op_max_dim.py' 2025-03-21T20:25:17.2616931Z adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py' 2025-03-21T20:25:17.2617191Z adding 'executorch/backends/xnnpack/operators/op_maximum.py' 2025-03-21T20:25:17.2617414Z adding 'executorch/backends/xnnpack/operators/op_mean_dim.py' 2025-03-21T20:25:17.2617621Z adding 'executorch/backends/xnnpack/operators/op_minimum.py' 2025-03-21T20:25:17.2617872Z adding 'executorch/backends/xnnpack/operators/op_multiply.py' 2025-03-21T20:25:17.2618113Z adding 'executorch/backends/xnnpack/operators/op_negate.py' 2025-03-21T20:25:17.2618334Z adding 'executorch/backends/xnnpack/operators/op_permute.py' 2025-03-21T20:25:17.2618527Z adding 'executorch/backends/xnnpack/operators/op_prelu.py' 2025-03-21T20:25:17.2618768Z adding 'executorch/backends/xnnpack/operators/op_quant_dequant.py' 2025-03-21T20:25:17.2619021Z adding 'executorch/backends/xnnpack/operators/op_relu.py' 2025-03-21T20:25:17.2619224Z adding 'executorch/backends/xnnpack/operators/op_rsqrt.py' 2025-03-21T20:25:17.2619473Z adding 'executorch/backends/xnnpack/operators/op_sdpa.py' 2025-03-21T20:25:17.2619734Z adding 'executorch/backends/xnnpack/operators/op_sigmoid.py' 2025-03-21T20:25:17.2620033Z adding 'executorch/backends/xnnpack/operators/op_skip_ops.py' 2025-03-21T20:25:17.2620265Z adding 'executorch/backends/xnnpack/operators/op_slice_copy.py' 2025-03-21T20:25:17.2620549Z adding 'executorch/backends/xnnpack/operators/op_softmax.py' 2025-03-21T20:25:17.2620771Z adding 'executorch/backends/xnnpack/operators/op_square.py' 2025-03-21T20:25:17.2621053Z adding 'executorch/backends/xnnpack/operators/op_square_root.py' 2025-03-21T20:25:17.2621305Z adding 'executorch/backends/xnnpack/operators/op_squeeze.py' 2025-03-21T20:25:17.2621633Z adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py' 2025-03-21T20:25:17.2621969Z adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py' 2025-03-21T20:25:17.2622175Z adding 'executorch/backends/xnnpack/operators/op_sub.py' 2025-03-21T20:25:17.2622377Z adding 'executorch/backends/xnnpack/operators/op_to_copy.py' 2025-03-21T20:25:17.2622621Z adding 'executorch/backends/xnnpack/operators/quant_params.py' 2025-03-21T20:25:17.2622874Z adding 'executorch/backends/xnnpack/partition/configs.py' 2025-03-21T20:25:17.2623143Z adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py' 2025-03-21T20:25:17.2623373Z adding 'executorch/backends/xnnpack/partition/config/__init__.py' 2025-03-21T20:25:17.2623678Z adding 'executorch/backends/xnnpack/partition/config/gemm_configs.py' 2025-03-21T20:25:17.2624038Z adding 'executorch/backends/xnnpack/partition/config/generic_node_configs.py' 2025-03-21T20:25:17.2624339Z adding 'executorch/backends/xnnpack/partition/config/node_configs.py' 2025-03-21T20:25:17.2624646Z adding 'executorch/backends/xnnpack/partition/config/quant_affine_configs.py' 2025-03-21T20:25:17.2624912Z adding 'executorch/backends/xnnpack/partition/config/xnnpack_config.py' 2025-03-21T20:25:17.2625246Z adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py' 2025-03-21T20:25:17.2625465Z adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py' 2025-03-21T20:25:17.2625723Z adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer.py' 2025-03-21T20:25:17.2626003Z adding 'executorch/backends/xnnpack/quantizer/xnnpack_quantizer_utils.py' 2025-03-21T20:25:17.2626317Z adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs' 2025-03-21T20:25:17.2626598Z adding 'executorch/backends/xnnpack/serialization/schema.fbs' 2025-03-21T20:25:17.2626939Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py' 2025-03-21T20:25:17.2627248Z adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py' 2025-03-21T20:25:17.2627525Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py' 2025-03-21T20:25:17.2627801Z adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py' 2025-03-21T20:25:17.2628020Z adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py' 2025-03-21T20:25:17.2628210Z adding 'executorch/backends/xnnpack/test/models/edsr.py' 2025-03-21T20:25:17.2628461Z adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py' 2025-03-21T20:25:17.2628693Z adding 'executorch/backends/xnnpack/test/models/inception_v3.py' 2025-03-21T20:25:17.2628994Z adding 'executorch/backends/xnnpack/test/models/inception_v4.py' 2025-03-21T20:25:17.2629300Z adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py' 2025-03-21T20:25:17.2629580Z adding 'executorch/backends/xnnpack/test/models/mobilebert.py' 2025-03-21T20:25:17.2629811Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py' 2025-03-21T20:25:17.2630043Z adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py' 2025-03-21T20:25:17.2630319Z adding 'executorch/backends/xnnpack/test/models/resnet.py' 2025-03-21T20:25:17.2630567Z adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py' 2025-03-21T20:25:17.2630811Z adding 'executorch/backends/xnnpack/test/models/very_big_model.py' 2025-03-21T20:25:17.2630997Z adding 'executorch/backends/xnnpack/test/models/w2l.py' 2025-03-21T20:25:17.2631267Z adding 'executorch/backends/xnnpack/test/ops/test_abs.py' 2025-03-21T20:25:17.2631459Z adding 'executorch/backends/xnnpack/test/ops/test_add.py' 2025-03-21T20:25:17.2631683Z adding 'executorch/backends/xnnpack/test/ops/test_avgpool2d.py' 2025-03-21T20:25:17.2631923Z adding 'executorch/backends/xnnpack/test/ops/test_bilinear2d.py' 2025-03-21T20:25:17.2632175Z adding 'executorch/backends/xnnpack/test/ops/test_bmm.py' 2025-03-21T20:25:17.2632377Z adding 'executorch/backends/xnnpack/test/ops/test_cat.py' 2025-03-21T20:25:17.2901503Z adding 'executorch/backends/xnnpack/test/ops/test_ceil.py' 2025-03-21T20:25:17.2902029Z adding 'executorch/backends/xnnpack/test/ops/test_check_quant_params.py' 2025-03-21T20:25:17.2902394Z adding 'executorch/backends/xnnpack/test/ops/test_clamp.py' 2025-03-21T20:25:17.2902709Z adding 'executorch/backends/xnnpack/test/ops/test_conv1d.py' 2025-03-21T20:25:17.2902992Z adding 'executorch/backends/xnnpack/test/ops/test_conv2d.py' 2025-03-21T20:25:17.2903206Z adding 'executorch/backends/xnnpack/test/ops/test_div.py' 2025-03-21T20:25:17.2903411Z adding 'executorch/backends/xnnpack/test/ops/test_elu.py' 2025-03-21T20:25:17.2903612Z adding 'executorch/backends/xnnpack/test/ops/test_floor.py' 2025-03-21T20:25:17.2903853Z adding 'executorch/backends/xnnpack/test/ops/test_hardswish.py' 2025-03-21T20:25:17.2904072Z adding 'executorch/backends/xnnpack/test/ops/test_hardtanh.py' 2025-03-21T20:25:17.2904304Z adding 'executorch/backends/xnnpack/test/ops/test_leaky_relu.py' 2025-03-21T20:25:17.2904522Z adding 'executorch/backends/xnnpack/test/ops/test_linear.py' 2025-03-21T20:25:17.2904760Z adding 'executorch/backends/xnnpack/test/ops/test_lstm.py' 2025-03-21T20:25:17.2905067Z adding 'executorch/backends/xnnpack/test/ops/test_max_dim.py' 2025-03-21T20:25:17.2905277Z adding 'executorch/backends/xnnpack/test/ops/test_maximum.py' 2025-03-21T20:25:17.2905514Z adding 'executorch/backends/xnnpack/test/ops/test_maxpool2d.py' 2025-03-21T20:25:17.2905727Z adding 'executorch/backends/xnnpack/test/ops/test_mean_dim.py' 2025-03-21T20:25:17.2905940Z adding 'executorch/backends/xnnpack/test/ops/test_minimum.py' 2025-03-21T20:25:17.2906165Z adding 'executorch/backends/xnnpack/test/ops/test_multiply.py' 2025-03-21T20:25:17.2906372Z adding 'executorch/backends/xnnpack/test/ops/test_negate.py' 2025-03-21T20:25:17.2906600Z adding 'executorch/backends/xnnpack/test/ops/test_permute.py' 2025-03-21T20:25:17.2906909Z adding 'executorch/backends/xnnpack/test/ops/test_pow.py' 2025-03-21T20:25:17.2907130Z adding 'executorch/backends/xnnpack/test/ops/test_prelu.py' 2025-03-21T20:25:17.2907399Z adding 'executorch/backends/xnnpack/test/ops/test_quantize_per_tensor.py' 2025-03-21T20:25:17.2907607Z adding 'executorch/backends/xnnpack/test/ops/test_relu.py' 2025-03-21T20:25:17.2907804Z adding 'executorch/backends/xnnpack/test/ops/test_rsqrt.py' 2025-03-21T20:25:17.2908012Z adding 'executorch/backends/xnnpack/test/ops/test_sdpa.py' 2025-03-21T20:25:17.2908226Z adding 'executorch/backends/xnnpack/test/ops/test_sigmoid.py' 2025-03-21T20:25:17.2908454Z adding 'executorch/backends/xnnpack/test/ops/test_slice_copy.py' 2025-03-21T20:25:17.2908677Z adding 'executorch/backends/xnnpack/test/ops/test_softmax.py' 2025-03-21T20:25:17.2908869Z adding 'executorch/backends/xnnpack/test/ops/test_sqrt.py' 2025-03-21T20:25:17.2909092Z adding 'executorch/backends/xnnpack/test/ops/test_square.py' 2025-03-21T20:25:17.2909363Z adding 'executorch/backends/xnnpack/test/ops/test_static_constant_pad.py' 2025-03-21T20:25:17.2909566Z adding 'executorch/backends/xnnpack/test/ops/test_sub.py' 2025-03-21T20:25:17.2909851Z adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py' 2025-03-21T20:25:17.2910284Z adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py' 2025-03-21T20:25:17.2910842Z adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py' 2025-03-21T20:25:17.2911303Z adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py' 2025-03-21T20:25:17.2911600Z adding 'executorch/backends/xnnpack/test/passes/test_decompose_cat_pass.py' 2025-03-21T20:25:17.2911893Z adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py' 2025-03-21T20:25:17.2912284Z adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py' 2025-03-21T20:25:17.2912709Z adding 'executorch/backends/xnnpack/test/quantizer/test_pt2e_quantization.py' 2025-03-21T20:25:17.2913008Z adding 'executorch/backends/xnnpack/test/quantizer/test_representation.py' 2025-03-21T20:25:17.2913303Z adding 'executorch/backends/xnnpack/test/quantizer/test_xnnpack_quantizer.py' 2025-03-21T20:25:17.2913634Z adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py' 2025-03-21T20:25:17.2913954Z adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py' 2025-03-21T20:25:17.2914231Z adding 'executorch/backends/xnnpack/test/tester/__init__.py' 2025-03-21T20:25:17.2914449Z adding 'executorch/backends/xnnpack/test/tester/tester.py' 2025-03-21T20:25:17.2914843Z adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py' 2025-03-21T20:25:17.2915094Z adding 'executorch/backends/xnnpack/third-party/FP16/configure.py' 2025-03-21T20:25:17.2915330Z adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml' 2025-03-21T20:25:17.2915626Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py' 2025-03-21T20:25:17.2915911Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py' 2025-03-21T20:25:17.2916185Z adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py' 2025-03-21T20:25:17.2916479Z adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py' 2025-03-21T20:25:17.2916724Z adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py' 2025-03-21T20:25:17.2917033Z adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml' 2025-03-21T20:25:17.2917396Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_config.py' 2025-03-21T20:25:17.2917793Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/check_files_changed.py' 2025-03-21T20:25:17.2918185Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/generate-build-identifier.py' 2025-03-21T20:25:17.2918512Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py' 2025-03-21T20:25:17.2918841Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml' 2025-03-21T20:25:17.2919161Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml' 2025-03-21T20:25:17.2919486Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml' 2025-03-21T20:25:17.2919902Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml' 2025-03-21T20:25:17.2920447Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml' 2025-03-21T20:25:17.2920792Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rdsum.yaml' 2025-03-21T20:25:17.2921106Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml' 2025-03-21T20:25:17.2921433Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml' 2025-03-21T20:25:17.2921764Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml' 2025-03-21T20:25:17.2922084Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml' 2025-03-21T20:25:17.2922402Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml' 2025-03-21T20:25:17.2922779Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml' 2025-03-21T20:25:17.2923061Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml' 2025-03-21T20:25:17.2923342Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml' 2025-03-21T20:25:17.2923759Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml' 2025-03-21T20:25:17.2924040Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml' 2025-03-21T20:25:17.2924373Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml' 2025-03-21T20:25:17.2924830Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml' 2025-03-21T20:25:17.2925357Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml' 2025-03-21T20:25:17.2925664Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml' 2025-03-21T20:25:17.2925995Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml' 2025-03-21T20:25:17.2926313Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml' 2025-03-21T20:25:17.2926648Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml' 2025-03-21T20:25:17.2926985Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml' 2025-03-21T20:25:17.2927292Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml' 2025-03-21T20:25:17.2927586Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml' 2025-03-21T20:25:17.2927918Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml' 2025-03-21T20:25:17.2928261Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml' 2025-03-21T20:25:17.2928568Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml' 2025-03-21T20:25:17.2928890Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml' 2025-03-21T20:25:17.2929221Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml' 2025-03-21T20:25:17.2929507Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml' 2025-03-21T20:25:17.2929845Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml' 2025-03-21T20:25:17.2930185Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml' 2025-03-21T20:25:17.2930680Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml' 2025-03-21T20:25:17.2931052Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml' 2025-03-21T20:25:17.2931375Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml' 2025-03-21T20:25:17.2931708Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml' 2025-03-21T20:25:17.2932022Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml' 2025-03-21T20:25:17.2932399Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml' 2025-03-21T20:25:17.2932679Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rdsum.yaml' 2025-03-21T20:25:17.2932969Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml' 2025-03-21T20:25:17.2933240Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml' 2025-03-21T20:25:17.2933544Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml' 2025-03-21T20:25:17.2933824Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml' 2025-03-21T20:25:17.2934138Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml' 2025-03-21T20:25:17.6330196Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml' 2025-03-21T20:25:17.6331777Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml' 2025-03-21T20:25:17.6332992Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml' 2025-03-21T20:25:17.6333832Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qb4w-gemm-minmax.yaml' 2025-03-21T20:25:17.6334928Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml' 2025-03-21T20:25:17.6335793Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml' 2025-03-21T20:25:17.6336785Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml' 2025-03-21T20:25:17.6337689Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qb4w-gemm-minmax.yaml' 2025-03-21T20:25:17.6338548Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml' 2025-03-21T20:25:17.6339404Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml' 2025-03-21T20:25:17.6340274Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml' 2025-03-21T20:25:17.6341141Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qb4w-gemm-minmax.yaml' 2025-03-21T20:25:17.6341999Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qp8-f32-qc4w-gemm-minmax.yaml' 2025-03-21T20:25:17.6342871Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml' 2025-03-21T20:25:17.6343754Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml' 2025-03-21T20:25:17.6344622Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rdsum-minmax-fp32.yaml' 2025-03-21T20:25:17.6345399Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-rsum.yaml' 2025-03-21T20:25:17.6346160Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml' 2025-03-21T20:25:17.6346980Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml' 2025-03-21T20:25:17.6347823Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml' 2025-03-21T20:25:17.6348671Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml' 2025-03-21T20:25:17.6349462Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rdsum.yaml' 2025-03-21T20:25:17.6350173Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-rsum.yaml' 2025-03-21T20:25:17.6350898Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml' 2025-03-21T20:25:17.6351635Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml' 2025-03-21T20:25:17.6352428Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml' 2025-03-21T20:25:17.6353347Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml' 2025-03-21T20:25:17.6354042Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml' 2025-03-21T20:25:17.6354821Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py' 2025-03-21T20:25:17.6355682Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py' 2025-03-21T20:25:17.6356552Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py' 2025-03-21T20:25:17.6357473Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py' 2025-03-21T20:25:17.6358404Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py' 2025-03-21T20:25:17.6359305Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py' 2025-03-21T20:25:17.6360148Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py' 2025-03-21T20:25:17.6361000Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py' 2025-03-21T20:25:17.6361861Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py' 2025-03-21T20:25:17.6362711Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py' 2025-03-21T20:25:17.6363631Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py' 2025-03-21T20:25:17.6364495Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py' 2025-03-21T20:25:17.6365396Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py' 2025-03-21T20:25:17.6366403Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py' 2025-03-21T20:25:17.6367579Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-benchmark.py' 2025-03-21T20:25:17.6368408Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rdsum-test.py' 2025-03-21T20:25:17.6369249Z adding 'executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py' 2025-03-21T20:25:17.6370067Z adding 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2025-03-21T20:25:17.6755702Z adding 'executorch/examples/models/model_factory.py' 2025-03-21T20:25:17.6756289Z adding 'executorch/examples/models/deeplab_v3/__init__.py' 2025-03-21T20:25:17.6756818Z adding 'executorch/examples/models/deeplab_v3/model.py' 2025-03-21T20:25:17.6757385Z adding 'executorch/examples/models/edsr/__init__.py' 2025-03-21T20:25:17.6757938Z adding 'executorch/examples/models/edsr/model.py' 2025-03-21T20:25:17.6758454Z adding 'executorch/examples/models/efficient_sam/__init__.py' 2025-03-21T20:25:17.6759133Z adding 'executorch/examples/models/efficient_sam/model.py' 2025-03-21T20:25:17.6759934Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/build_efficient_sam.py' 2025-03-21T20:25:17.6760903Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam.py' 2025-03-21T20:25:17.6761906Z adding 'executorch/examples/models/efficient_sam/efficient_sam_core/efficient_sam_decoder.py' 2025-03-21T20:25:17.6762883Z adding 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2025-03-21T20:25:17.6783780Z adding 'executorch/examples/models/llama/runner/native.py' 2025-03-21T20:25:17.6784405Z adding 'executorch/examples/models/llama/source_transformation/__init__.py' 2025-03-21T20:25:17.6785317Z adding 'executorch/examples/models/llama/source_transformation/apply_spin_quant_r1_r2.py' 2025-03-21T20:25:17.6786214Z adding 'executorch/examples/models/llama/source_transformation/attention.py' 2025-03-21T20:25:17.6787048Z adding 'executorch/examples/models/llama/source_transformation/attention_sink.py' 2025-03-21T20:25:17.6787857Z adding 'executorch/examples/models/llama/source_transformation/lora.py' 2025-03-21T20:25:17.6788662Z adding 'executorch/examples/models/llama/source_transformation/pre_quantization.py' 2025-03-21T20:25:17.6789506Z adding 'executorch/examples/models/llama/source_transformation/prune_vocab.py' 2025-03-21T20:25:17.6790297Z adding 'executorch/examples/models/llama/source_transformation/quantize.py' 2025-03-21T20:25:17.6791123Z adding 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adding 'executorch/examples/models/llama/tests/test_pre_quantization_transforms.py' 2025-03-21T20:25:17.6799373Z adding 'executorch/examples/models/llama/tests/test_simple_sdpa.py' 2025-03-21T20:25:17.6800028Z adding 'executorch/examples/models/llama/tests/test_static_attention.py' 2025-03-21T20:25:17.6800665Z adding 'executorch/examples/models/llama/tokenizer/tiktoken.py' 2025-03-21T20:25:17.6801247Z adding 'executorch/examples/models/llama3_2_vision/__init__.py' 2025-03-21T20:25:17.6802066Z adding 'executorch/examples/models/llama3_2_vision/preprocess/__init__.py' 2025-03-21T20:25:17.6802791Z adding 'executorch/examples/models/llama3_2_vision/preprocess/export_preprocess.py' 2025-03-21T20:25:17.6803518Z adding 'executorch/examples/models/llama3_2_vision/preprocess/model.py' 2025-03-21T20:25:17.6804303Z adding 'executorch/examples/models/llama3_2_vision/preprocess/test_preprocess.py' 2025-03-21T20:25:17.6804999Z adding 'executorch/examples/models/llama3_2_vision/runner/eager.py' 2025-03-21T20:25:17.6805633Z adding 'executorch/examples/models/llama3_2_vision/runner/exported.py' 2025-03-21T20:25:17.6806283Z adding 'executorch/examples/models/llama3_2_vision/runner/generation.py' 2025-03-21T20:25:17.6806936Z adding 'executorch/examples/models/llama3_2_vision/runner/native.py' 2025-03-21T20:25:17.6807591Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/model.py' 2025-03-21T20:25:17.6808303Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/__init__.py' 2025-03-21T20:25:17.6809192Z adding 'executorch/examples/models/llama3_2_vision/text_decoder/test/test_text_decoder.py' 2025-03-21T20:25:17.6809973Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/__init__.py' 2025-03-21T20:25:17.6810666Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/model.py' 2025-03-21T20:25:17.6811400Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/__init__.py' 2025-03-21T20:25:17.6812217Z adding 'executorch/examples/models/llama3_2_vision/vision_encoder/test/test_vision_encoder.py' 2025-03-21T20:25:17.6812898Z adding 'executorch/examples/models/llava/__init__.py' 2025-03-21T20:25:17.6813400Z adding 'executorch/examples/models/llava/export_llava.py' 2025-03-21T20:25:17.7335988Z adding 'executorch/examples/models/llava/image_util.py' 2025-03-21T20:25:17.7336885Z adding 'executorch/examples/models/llava/model.py' 2025-03-21T20:25:17.7337801Z adding 'executorch/examples/models/llava/test/test_llava.py' 2025-03-21T20:25:17.7338748Z adding 'executorch/examples/models/llava/test/test_pte.py' 2025-03-21T20:25:17.7339242Z adding 'executorch/examples/models/lstm/__init__.py' 2025-03-21T20:25:17.7339714Z adding 'executorch/examples/models/lstm/model.py' 2025-03-21T20:25:17.7340218Z adding 'executorch/examples/models/mobilebert/__init__.py' 2025-03-21T20:25:17.7340754Z adding 'executorch/examples/models/mobilebert/model.py' 2025-03-21T20:25:17.7341292Z adding 'executorch/examples/models/mobilenet_v2/__init__.py' 2025-03-21T20:25:17.7342005Z adding 'executorch/examples/models/mobilenet_v2/model.py' 2025-03-21T20:25:17.7342536Z adding 'executorch/examples/models/mobilenet_v3/__init__.py' 2025-03-21T20:25:17.7343078Z adding 'executorch/examples/models/mobilenet_v3/model.py' 2025-03-21T20:25:17.7343614Z adding 'executorch/examples/models/moshi/mimi/test_mimi.py' 2025-03-21T20:25:17.7344221Z adding 'executorch/examples/models/phi-3-mini/__init__.py' 2025-03-21T20:25:17.7344833Z adding 'executorch/examples/models/phi-3-mini/eager.py' 2025-03-21T20:25:17.7345393Z adding 'executorch/examples/models/phi-3-mini/export_phi-3-mini.py' 2025-03-21T20:25:17.7345986Z adding 'executorch/examples/models/phi-3-mini/phi_3_mini.py' 2025-03-21T20:25:17.7346550Z adding 'executorch/examples/models/phi-3-mini/static_cache.py' 2025-03-21T20:25:17.7347163Z adding 'executorch/examples/models/phi-3-mini-lora/export_model.py' 2025-03-21T20:25:17.7347786Z adding 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'executorch/examples/models/toy_model/model.py' 2025-03-21T20:25:17.7354803Z adding 'executorch/examples/models/wav2letter/__init__.py' 2025-03-21T20:25:17.7355370Z adding 'executorch/examples/models/wav2letter/model.py' 2025-03-21T20:25:17.7355819Z adding 'executorch/exir/__init__.py' 2025-03-21T20:25:17.7356202Z adding 'executorch/exir/_warnings.py' 2025-03-21T20:25:17.7356583Z adding 'executorch/exir/common.py' 2025-03-21T20:25:17.7357069Z adding 'executorch/exir/control_flow.py' 2025-03-21T20:25:17.7357556Z adding 'executorch/exir/delegate.py' 2025-03-21T20:25:17.7357942Z adding 'executorch/exir/delegate.pyi' 2025-03-21T20:25:17.7358401Z adding 'executorch/exir/dim_order_utils.py' 2025-03-21T20:25:17.7359025Z adding 'executorch/exir/dynamic_shape.py' 2025-03-21T20:25:17.7369298Z adding 'executorch/exir/error.py' 2025-03-21T20:25:17.7369700Z adding 'executorch/exir/graph.py' 2025-03-21T20:25:17.7370146Z adding 'executorch/exir/graph_module.py' 2025-03-21T20:25:17.7370548Z adding 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2025-03-21T20:25:17.7376558Z adding 'executorch/exir/_serialize/_cord.py' 2025-03-21T20:25:17.7377067Z adding 'executorch/exir/_serialize/_dataclass.py' 2025-03-21T20:25:17.7377571Z adding 'executorch/exir/_serialize/_flatbuffer.py' 2025-03-21T20:25:17.7378105Z adding 'executorch/exir/_serialize/_named_data_store.py' 2025-03-21T20:25:17.7378589Z adding 'executorch/exir/_serialize/_program.py' 2025-03-21T20:25:17.7379038Z adding 'executorch/exir/_serialize/_serialize.py' 2025-03-21T20:25:17.7379591Z adding 'executorch/exir/_serialize/data_serializer.py' 2025-03-21T20:25:17.7380082Z adding 'executorch/exir/_serialize/padding.py' 2025-03-21T20:25:17.7380604Z adding 'executorch/exir/_serialize/program.fbs' 2025-03-21T20:25:17.7381063Z adding 'executorch/exir/_serialize/scalar_type.fbs' 2025-03-21T20:25:17.7381536Z adding 'executorch/exir/_serialize/test/__init__.py' 2025-03-21T20:25:17.7382059Z adding 'executorch/exir/_serialize/test/test_cord.py' 2025-03-21T20:25:17.7382600Z adding 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2025-03-21T20:25:17.7408541Z adding 'executorch/exir/dialects/edge/_ops.py' 2025-03-21T20:25:17.7408982Z adding 'executorch/exir/dialects/edge/edge.yaml' 2025-03-21T20:25:17.7409441Z adding 'executorch/exir/dialects/edge/arg/model.py' 2025-03-21T20:25:17.7409901Z adding 'executorch/exir/dialects/edge/arg/type.py' 2025-03-21T20:25:17.7410363Z adding 'executorch/exir/dialects/edge/dtype/runner.py' 2025-03-21T20:25:17.7410877Z adding 'executorch/exir/dialects/edge/dtype/supported.py' 2025-03-21T20:25:17.7411386Z adding 'executorch/exir/dialects/edge/dtype/utils.py' 2025-03-21T20:25:17.7411854Z adding 'executorch/exir/dialects/edge/op/api.py' 2025-03-21T20:25:17.7412434Z adding 'executorch/exir/dialects/edge/op/sample_input.py' 2025-03-21T20:25:17.7412965Z adding 'executorch/exir/dialects/edge/op/test/test_api.py' 2025-03-21T20:25:17.7413451Z adding 'executorch/exir/dialects/edge/spec/gen.py' 2025-03-21T20:25:17.7413924Z adding 'executorch/exir/dialects/edge/spec/utils.py' 2025-03-21T20:25:17.7414496Z adding 'executorch/exir/dialects/edge/test/test_edge_ops.py' 2025-03-21T20:25:17.7415052Z adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py' 2025-03-21T20:25:17.7415621Z adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py' 2025-03-21T20:25:17.7416103Z adding 'executorch/exir/emit/__init__.py' 2025-03-21T20:25:17.7416518Z adding 'executorch/exir/emit/_emit_program.py' 2025-03-21T20:25:17.7416937Z adding 'executorch/exir/emit/_emitter.py' 2025-03-21T20:25:17.7417357Z adding 'executorch/exir/emit/test/test_emit.py' 2025-03-21T20:25:17.7417793Z adding 'executorch/exir/operator/convert.py' 2025-03-21T20:25:17.7418208Z adding 'executorch/exir/operator/manip.py' 2025-03-21T20:25:17.7418614Z adding 'executorch/exir/operator/util.py' 2025-03-21T20:25:17.7419069Z adding 'executorch/exir/operator/test/test_operator.py' 2025-03-21T20:25:17.7419532Z adding 'executorch/exir/passes/__init__.py' 2025-03-21T20:25:17.7420047Z adding 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'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py' 2025-03-21T20:25:17.8321449Z adding 'executorch/exir/passes/replace_edge_with_backend_pass.py' 2025-03-21T20:25:17.8322468Z adding 'executorch/exir/passes/replace_sym_size_op_pass.py' 2025-03-21T20:25:17.8323467Z adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py' 2025-03-21T20:25:17.8324444Z adding 'executorch/exir/passes/scalar_to_tensor_pass.py' 2025-03-21T20:25:17.8325299Z adding 'executorch/exir/passes/spec_prop_pass.py' 2025-03-21T20:25:17.8326094Z adding 'executorch/exir/passes/sym_shape_eval_pass.py' 2025-03-21T20:25:17.8326955Z adding 'executorch/exir/passes/sym_to_tensor_pass.py' 2025-03-21T20:25:17.8327818Z adding 'executorch/exir/passes/weights_to_outputs_pass.py' 2025-03-21T20:25:17.8328900Z adding 'executorch/exir/program/__init__.py' 2025-03-21T20:25:17.8329629Z adding 'executorch/exir/program/_fake_program.py' 2025-03-21T20:25:17.8330372Z adding 'executorch/exir/program/_program.py' 2025-03-21T20:25:17.8331141Z adding 'executorch/exir/program/test/__init__.py' 2025-03-21T20:25:17.8332167Z adding 'executorch/exir/program/test/test_fake_program.py' 2025-03-21T20:25:17.8333083Z adding 'executorch/exir/program/test/test_program.py' 2025-03-21T20:25:17.8333867Z adding 'executorch/exir/serde/__init__.py' 2025-03-21T20:25:17.8334584Z adding 'executorch/exir/serde/export_serialize.py' 2025-03-21T20:25:17.8335358Z adding 'executorch/exir/serde/schema.py' 2025-03-21T20:25:17.8336035Z adding 'executorch/exir/serde/schema_check.py' 2025-03-21T20:25:17.8336751Z adding 'executorch/exir/serde/serialize.py' 2025-03-21T20:25:17.8337423Z adding 'executorch/exir/serde/union.py' 2025-03-21T20:25:17.8338117Z adding 'executorch/exir/serde/upgrade.py' 2025-03-21T20:25:17.8338769Z adding 'executorch/exir/tests/asr_joiner.py' 2025-03-21T20:25:17.8339486Z adding 'executorch/exir/tests/common.py' 2025-03-21T20:25:17.8340249Z adding 'executorch/exir/tests/control_flow_models.py' 2025-03-21T20:25:17.8341119Z adding 'executorch/exir/tests/dynamic_shape_models.py' 2025-03-21T20:25:17.8341891Z adding 'executorch/exir/tests/models.py' 2025-03-21T20:25:17.8342620Z adding 'executorch/exir/tests/test_arg_validator.py' 2025-03-21T20:25:17.8343426Z adding 'executorch/exir/tests/test_capture.py' 2025-03-21T20:25:17.8344124Z adding 'executorch/exir/tests/test_common.py' 2025-03-21T20:25:17.8344877Z adding 'executorch/exir/tests/test_delegate.py' 2025-03-21T20:25:17.8345666Z adding 'executorch/exir/tests/test_dim_order_utils.py' 2025-03-21T20:25:17.8346571Z adding 'executorch/exir/tests/test_dynamic_shape_propagation.py' 2025-03-21T20:25:17.8347480Z adding 'executorch/exir/tests/test_error.py' 2025-03-21T20:25:17.8348247Z adding 'executorch/exir/tests/test_joint_graph.py' 2025-03-21T20:25:17.8349149Z adding 'executorch/exir/tests/test_memory_format_ops_pass.py' 2025-03-21T20:25:17.8350142Z adding 'executorch/exir/tests/test_memory_format_ops_pass_aten.py' 2025-03-21T20:25:17.8351209Z adding 'executorch/exir/tests/test_memory_format_ops_pass_utils.py' 2025-03-21T20:25:17.8352183Z adding 'executorch/exir/tests/test_memory_planning.py' 2025-03-21T20:25:17.8353124Z adding 'executorch/exir/tests/test_op_convert.py' 2025-03-21T20:25:17.8353869Z adding 'executorch/exir/tests/test_pass_infra.py' 2025-03-21T20:25:17.8354638Z adding 'executorch/exir/tests/test_passes.py' 2025-03-21T20:25:17.8355392Z adding 'executorch/exir/tests/test_print_program.py' 2025-03-21T20:25:17.8356328Z adding 'executorch/exir/tests/test_prune_empty_tensors_pass.py' 2025-03-21T20:25:17.8357289Z adding 'executorch/exir/tests/test_quant_fusion_pass.py' 2025-03-21T20:25:17.8358098Z adding 'executorch/exir/tests/test_quantization.py' 2025-03-21T20:25:17.8358949Z adding 'executorch/exir/tests/test_quantize_io_pass.py' 2025-03-21T20:25:17.8359821Z adding 'executorch/exir/tests/test_remove_view_copy.py' 2025-03-21T20:25:17.8360631Z adding 'executorch/exir/tests/test_serde.py' 2025-03-21T20:25:17.8361332Z adding 'executorch/exir/tests/test_tensor.py' 2025-03-21T20:25:17.8362040Z adding 'executorch/exir/tests/test_tracer.py' 2025-03-21T20:25:17.8362794Z adding 'executorch/exir/tests/test_verification.py' 2025-03-21T20:25:17.8363600Z adding 'executorch/exir/tests/test_warnings.py' 2025-03-21T20:25:17.8364377Z adding 'executorch/exir/tests/transformer.py' 2025-03-21T20:25:17.8365191Z adding 'executorch/exir/verification/arg_validator.py' 2025-03-21T20:25:17.8366009Z adding 'executorch/exir/verification/dev_html.py' 2025-03-21T20:25:17.8367034Z adding 'executorch/exir/verification/interpreter.py' 2025-03-21T20:25:17.8367839Z adding 'executorch/exir/verification/verifier.py' 2025-03-21T20:25:17.8368694Z adding 'executorch/exir/verification/test/test_verifier.py' 2025-03-21T20:25:17.8369884Z adding 'executorch/extension/android_test/add_model.py' 2025-03-21T20:25:17.8370757Z adding 'executorch/extension/export_util/__init__.py' 2025-03-21T20:25:17.8371557Z adding 'executorch/extension/export_util/utils.py' 2025-03-21T20:25:17.8372331Z adding 'executorch/extension/flat_tensor/__init__.py' 2025-03-21T20:25:17.8373391Z adding 'executorch/extension/flat_tensor/serialize/__init__.py' 2025-03-21T20:25:17.8374441Z adding 'executorch/extension/flat_tensor/serialize/flat_tensor.fbs' 2025-03-21T20:25:17.8375559Z adding 'executorch/extension/flat_tensor/serialize/flat_tensor_schema.py' 2025-03-21T20:25:17.8376710Z adding 'executorch/extension/flat_tensor/serialize/scalar_type.fbs' 2025-03-21T20:25:17.8377761Z adding 'executorch/extension/flat_tensor/serialize/serialize.py' 2025-03-21T20:25:17.8378785Z adding 'executorch/extension/flat_tensor/test/test_serialize.py' 2025-03-21T20:25:17.8379735Z adding 'executorch/extension/gguf_util/convert_main.py' 2025-03-21T20:25:17.8380581Z adding 'executorch/extension/gguf_util/converter.py' 2025-03-21T20:25:17.8381374Z adding 'executorch/extension/gguf_util/load_gguf.py' 2025-03-21T20:25:17.8382299Z adding 'executorch/extension/gguf_util/converters/llama_converter.py' 2025-03-21T20:25:17.8383289Z adding 'executorch/extension/llm/custom_ops/__init__.py' 2025-03-21T20:25:17.8384187Z adding 'executorch/extension/llm/custom_ops/custom_ops.py' 2025-03-21T20:25:17.8385197Z adding 'executorch/extension/llm/custom_ops/libcustom_ops_aot_lib.so' 2025-03-21T20:25:17.8386283Z adding 'executorch/extension/llm/custom_ops/model_sharding.py' 2025-03-21T20:25:17.8387237Z adding 'executorch/extension/llm/custom_ops/op_tile_crop_aot.py' 2025-03-21T20:25:17.8388343Z adding 'executorch/extension/llm/custom_ops/preprocess_custom_ops.py' 2025-03-21T20:25:17.8389503Z adding 'executorch/extension/llm/custom_ops/test_preprocess_custom_ops.py' 2025-03-21T20:25:17.8390668Z adding 'executorch/extension/llm/custom_ops/test_sdpa_with_kv_cache.py' 2025-03-21T20:25:17.8391785Z adding 'executorch/extension/llm/custom_ops/test_update_cache.py' 2025-03-21T20:25:17.8393107Z adding 'executorch/extension/llm/custom_ops/spinquant/special_hadamard_code_gen.py' 2025-03-21T20:25:17.8394533Z adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/example.py' 2025-03-21T20:25:17.8395912Z adding 'executorch/extension/llm/custom_ops/spinquant/third-party/FFHT/gen.py' 2025-03-21T20:25:17.8396995Z adding 'executorch/extension/llm/export/__init__.py' 2025-03-21T20:25:17.8397794Z adding 'executorch/extension/llm/export/builder.py' 2025-03-21T20:25:17.8398666Z adding 'executorch/extension/llm/export/export_passes.py' 2025-03-21T20:25:17.8399586Z adding 'executorch/extension/llm/export/partitioner_lib.py' 2025-03-21T20:25:17.8400498Z adding 'executorch/extension/llm/export/quantizer_lib.py' 2025-03-21T20:25:17.8401440Z adding 'executorch/extension/llm/export/test_export_passes.py' 2025-03-21T20:25:17.8402379Z adding 'executorch/extension/llm/modules/__init__.py' 2025-03-21T20:25:17.8403333Z adding 'executorch/extension/llm/modules/_position_embeddings.py' 2025-03-21T20:25:17.8404307Z adding 'executorch/extension/llm/modules/attention.py' 2025-03-21T20:25:17.8405157Z adding 'executorch/extension/llm/modules/kv_cache.py' 2025-03-21T20:25:17.8406038Z adding 'executorch/extension/llm/modules/test/__init__.py' 2025-03-21T20:25:17.8407027Z adding 'executorch/extension/llm/modules/test/test_attention.py' 2025-03-21T20:25:17.8408059Z adding 'executorch/extension/llm/modules/test/test_kv_cache.py' 2025-03-21T20:25:17.8409176Z adding 'executorch/extension/llm/modules/test/test_position_embeddings.py' 2025-03-21T20:25:17.8410221Z adding 'executorch/extension/llm/tokenizer/__init__.py' 2025-03-21T20:25:17.8411136Z adding 'executorch/extension/llm/tokenizer/hf_tokenizer.py' 2025-03-21T20:25:17.8412002Z adding 'executorch/extension/llm/tokenizer/tokenizer.py' 2025-03-21T20:25:17.8412847Z adding 'executorch/extension/llm/tokenizer/utils.py' 2025-03-21T20:25:17.8413913Z adding 'executorch/extension/llm/tokenizer/test/test_tokenizer.py' 2025-03-21T20:25:17.8414870Z adding 'executorch/extension/llm/tokenizers/setup.py' 2025-03-21T20:25:17.8415848Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/__init__.py' 2025-03-21T20:25:17.8417269Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/hf_tokenizer.py' 2025-03-21T20:25:17.8418568Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/llama2c.py' 2025-03-21T20:25:17.8419707Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tiktoken.py' 2025-03-21T20:25:17.8420956Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/__init__.py' 2025-03-21T20:25:17.8422327Z adding 'executorch/extension/llm/tokenizers/pytorch_tokenizers/tools/llama2c/convert.py' 2025-03-21T20:25:17.8423627Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/conanfile.py' 2025-03-21T20:25:17.8424871Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/create_lts.py' 2025-03-21T20:25:17.8426221Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/abseil.podspec.gen.py' 2025-03-21T20:25:17.8427621Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/copts.py' 2025-03-21T20:25:17.8429052Z adding 'executorch/extension/llm/tokenizers/third-party/abseil-cpp/absl/copts/generate_copts.py' 2025-03-21T20:25:17.8430592Z adding 'executorch/extension/llm/tokenizers/third-party/json/docs/mkdocs/scripts/check_structure.py' 2025-03-21T20:25:18.4207387Z adding 'executorch/extension/llm/tokenizers/third-party/json/tests/thirdparty/imapdl/filterbr.py' 2025-03-21T20:25:18.4209082Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/amalgamate/amalgamate.py' 2025-03-21T20:25:18.4210815Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/gdb_pretty_printer/nlohmann-json.py' 2025-03-21T20:25:18.4212723Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/generate_natvis/generate_natvis.py' 2025-03-21T20:25:18.4214501Z adding 'executorch/extension/llm/tokenizers/third-party/json/tools/serve_header/serve_header.py' 2025-03-21T20:25:18.4216051Z adding 'executorch/extension/llm/tokenizers/third-party/re2/benchlog/benchplot.py' 2025-03-21T20:25:18.4217472Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2.py' 2025-03-21T20:25:18.4218721Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/re2_test.py' 2025-03-21T20:25:18.4220027Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/setup.py' 2025-03-21T20:25:18.4221496Z adding 'executorch/extension/llm/tokenizers/third-party/re2/python/toolchains/generate.py' 2025-03-21T20:25:18.4223057Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_casefold.py' 2025-03-21T20:25:18.4224581Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/make_unicode_groups.py' 2025-03-21T20:25:18.4226011Z adding 'executorch/extension/llm/tokenizers/third-party/re2/re2/unicode.py' 2025-03-21T20:25:18.4227371Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/setup.py' 2025-03-21T20:25:18.4229121Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/__init__.py' 2025-03-21T20:25:18.4231111Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/_version.py' 2025-03-21T20:25:18.4233351Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_model_pb2.py' 2025-03-21T20:25:18.4235575Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/src/sentencepiece/sentencepiece_pb2.py' 2025-03-21T20:25:18.4237510Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/__init__.py' 2025-03-21T20:25:18.4239270Z adding 'executorch/extension/llm/tokenizers/third-party/sentencepiece/python/test/sentencepiece_test.py' 2025-03-21T20:25:18.4241118Z adding 'executorch/extension/llm/tokenizers/tools/llama2c/convert.py' 2025-03-21T20:25:18.4242418Z adding 'executorch/extension/pybindings/_portable_lib.cpython-310-x86_64-linux-gnu.so' 2025-03-21T20:25:18.4243603Z adding 'executorch/extension/pybindings/portable_lib.py' 2025-03-21T20:25:18.4244715Z adding 'executorch/extension/pybindings/pybindings.pyi' 2025-03-21T20:25:18.4245626Z adding 'executorch/extension/pybindings/test/make_test.py' 2025-03-21T20:25:18.4246681Z adding 'executorch/extension/pybindings/test/test_backend_pybinding.py' 2025-03-21T20:25:18.4247778Z adding 'executorch/extension/pybindings/test/test_pybindings.py' 2025-03-21T20:25:18.4248610Z adding 'executorch/extension/pytree/__init__.py' 2025-03-21T20:25:18.4249352Z adding 'executorch/extension/pytree/test/test.py' 2025-03-21T20:25:18.4250090Z adding 'executorch/extension/training/__init__.py' 2025-03-21T20:25:18.4250984Z adding 'executorch/extension/training/examples/XOR/export_model.py' 2025-03-21T20:25:18.4252070Z adding 'executorch/extension/training/examples/XOR/model.py' 2025-03-21T20:25:18.4253202Z adding 'executorch/extension/training/examples/XOR/test/test_export.py' 2025-03-21T20:25:18.4254412Z adding 'executorch/extension/training/pybindings/_training_lib.pyi' 2025-03-21T20:25:18.4255590Z adding 'executorch/extension/training/pybindings/_training_module.py' 2025-03-21T20:25:18.4256722Z adding 'executorch/extension/training/pybindings/test/test.py' 2025-03-21T20:25:18.4258083Z adding 'executorch/include/executorch/extension/kernel_util/make_boxed_from_unboxed_functor.h' 2025-03-21T20:25:18.4259631Z adding 'executorch/include/executorch/extension/kernel_util/meta_programming.h' 2025-03-21T20:25:18.4260949Z adding 'executorch/include/executorch/extension/kernel_util/type_list.h' 2025-03-21T20:25:18.4262092Z adding 'executorch/include/executorch/extension/tensor/tensor.h' 2025-03-21T20:25:18.4263223Z adding 'executorch/include/executorch/extension/tensor/tensor_accessor.h' 2025-03-21T20:25:18.4264403Z adding 'executorch/include/executorch/extension/tensor/tensor_ptr.h' 2025-03-21T20:25:18.4265597Z adding 'executorch/include/executorch/extension/tensor/tensor_ptr_maker.h' 2025-03-21T20:25:18.4267209Z adding 'executorch/include/executorch/extension/threadpool/cpuinfo_utils.h' 2025-03-21T20:25:18.4268538Z adding 'executorch/include/executorch/extension/threadpool/threadpool.h' 2025-03-21T20:25:18.4269899Z adding 'executorch/include/executorch/extension/threadpool/threadpool_guard.h' 2025-03-21T20:25:18.4271149Z adding 'executorch/include/executorch/runtime/core/array_ref.h' 2025-03-21T20:25:18.4272245Z adding 'executorch/include/executorch/runtime/core/data_loader.h' 2025-03-21T20:25:18.4273376Z adding 'executorch/include/executorch/runtime/core/defines.h' 2025-03-21T20:25:18.4274394Z adding 'executorch/include/executorch/runtime/core/error.h' 2025-03-21T20:25:18.4275403Z adding 'executorch/include/executorch/runtime/core/evalue.h' 2025-03-21T20:25:18.4276489Z adding 'executorch/include/executorch/runtime/core/event_tracer.h' 2025-03-21T20:25:18.4277681Z adding 'executorch/include/executorch/runtime/core/event_tracer_hooks.h' 2025-03-21T20:25:18.4279027Z adding 'executorch/include/executorch/runtime/core/event_tracer_hooks_delegate.h' 2025-03-21T20:25:18.4280328Z adding 'executorch/include/executorch/runtime/core/freeable_buffer.h' 2025-03-21T20:25:18.4281585Z adding 'executorch/include/executorch/runtime/core/hierarchical_allocator.h' 2025-03-21T20:25:18.4282866Z adding 'executorch/include/executorch/runtime/core/memory_allocator.h' 2025-03-21T20:25:18.4284080Z adding 'executorch/include/executorch/runtime/core/named_data_map.h' 2025-03-21T20:25:18.4285186Z adding 'executorch/include/executorch/runtime/core/result.h' 2025-03-21T20:25:18.4286140Z adding 'executorch/include/executorch/runtime/core/span.h' 2025-03-21T20:25:18.4287072Z adding 'executorch/include/executorch/runtime/core/tag.h' 2025-03-21T20:25:18.4288310Z adding 'executorch/include/executorch/runtime/core/tensor_layout.h' 2025-03-21T20:25:18.4289535Z adding 'executorch/include/executorch/runtime/core/tensor_shape_dynamism.h' 2025-03-21T20:25:18.4290812Z adding 'executorch/include/executorch/runtime/core/exec_aten/exec_aten.h' 2025-03-21T20:25:18.4292364Z adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_factory.h' 2025-03-21T20:25:18.4293909Z adding 'executorch/include/executorch/runtime/core/exec_aten/testing_util/tensor_util.h' 2025-03-21T20:25:18.4295370Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/dim_order_util.h' 2025-03-21T20:25:18.4296810Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/scalar_type_util.h' 2025-03-21T20:25:18.4298337Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_dimension_limit.h' 2025-03-21T20:25:18.4299919Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_shape_to_c_string.h' 2025-03-21T20:25:18.4301399Z adding 'executorch/include/executorch/runtime/core/exec_aten/util/tensor_util.h' 2025-03-21T20:25:18.4302704Z adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16.h' 2025-03-21T20:25:18.4304044Z adding 'executorch/include/executorch/runtime/core/portable_type/bfloat16_math.h' 2025-03-21T20:25:18.4305417Z adding 'executorch/include/executorch/runtime/core/portable_type/bits_types.h' 2025-03-21T20:25:18.4306754Z adding 'executorch/include/executorch/runtime/core/portable_type/complex.h' 2025-03-21T20:25:18.4308042Z adding 'executorch/include/executorch/runtime/core/portable_type/device.h' 2025-03-21T20:25:18.4309291Z adding 'executorch/include/executorch/runtime/core/portable_type/half.h' 2025-03-21T20:25:18.4310538Z adding 'executorch/include/executorch/runtime/core/portable_type/optional.h' 2025-03-21T20:25:18.4311866Z adding 'executorch/include/executorch/runtime/core/portable_type/qint_types.h' 2025-03-21T20:25:18.4313273Z adding 'executorch/include/executorch/runtime/core/portable_type/scalar.h' 2025-03-21T20:25:18.4314596Z adding 'executorch/include/executorch/runtime/core/portable_type/scalar_type.h' 2025-03-21T20:25:18.4315955Z adding 'executorch/include/executorch/runtime/core/portable_type/string_view.h' 2025-03-21T20:25:18.4317254Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor.h' 2025-03-21T20:25:18.4318561Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor_impl.h' 2025-03-21T20:25:18.4319947Z adding 'executorch/include/executorch/runtime/core/portable_type/tensor_options.h' 2025-03-21T20:25:18.4321430Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Export.h' 2025-03-21T20:25:18.4323040Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/macros/Macros.h' 2025-03-21T20:25:18.4324707Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-inl.h' 2025-03-21T20:25:18.4326354Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16-math.h' 2025-03-21T20:25:18.4327969Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/BFloat16.h' 2025-03-21T20:25:18.4329509Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half-inl.h' 2025-03-21T20:25:18.4331001Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/Half.h' 2025-03-21T20:25:18.4332599Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/TypeSafeSignMath.h' 2025-03-21T20:25:18.4334205Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/bit_cast.h' 2025-03-21T20:25:18.4335846Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/floating_point_utils.h' 2025-03-21T20:25:18.4337478Z adding 'executorch/include/executorch/runtime/core/portable_type/c10/c10/util/irange.h' 2025-03-21T20:25:18.4338831Z adding 'executorch/include/executorch/runtime/kernel/kernel_includes.h' 2025-03-21T20:25:18.4340244Z adding 'executorch/include/executorch/runtime/kernel/kernel_runtime_context.h' 2025-03-21T20:25:18.4341557Z adding 'executorch/include/executorch/runtime/kernel/operator_registry.h' 2025-03-21T20:25:18.4342902Z adding 'executorch/include/executorch/runtime/kernel/thread_parallel_interface.h' 2025-03-21T20:25:21.5730824Z adding 'executorch/include/executorch/runtime/kernel/test/test_util.h' 2025-03-21T20:25:21.5732017Z adding 'executorch/include/executorch/runtime/platform/abort.h' 2025-03-21T20:25:21.5732612Z adding 'executorch/include/executorch/runtime/platform/assert.h' 2025-03-21T20:25:21.5733217Z adding 'executorch/include/executorch/runtime/platform/clock.h' 2025-03-21T20:25:21.5733860Z adding 'executorch/include/executorch/runtime/platform/compat_unistd.h' 2025-03-21T20:25:21.5734521Z adding 'executorch/include/executorch/runtime/platform/compiler.h' 2025-03-21T20:25:21.5735116Z adding 'executorch/include/executorch/runtime/platform/log.h' 2025-03-21T20:25:21.5735724Z adding 'executorch/include/executorch/runtime/platform/platform.h' 2025-03-21T20:25:21.5736333Z adding 'executorch/include/executorch/runtime/platform/profiler.h' 2025-03-21T20:25:21.5736954Z adding 'executorch/include/executorch/runtime/platform/runtime.h' 2025-03-21T20:25:21.5737561Z adding 'executorch/include/executorch/runtime/platform/system.h' 2025-03-21T20:25:21.5738161Z adding 'executorch/include/executorch/runtime/platform/types.h' 2025-03-21T20:25:21.5738815Z adding 'executorch/include/executorch/runtime/platform/test/stub_platform.h' 2025-03-21T20:25:21.5739411Z adding 'executorch/kernels/quantized/__init__.py' 2025-03-21T20:25:21.5739927Z adding 'executorch/kernels/quantized/libquantized_ops_aot_lib.so' 2025-03-21T20:25:21.5740472Z adding 'executorch/kernels/quantized/quantized.yaml' 2025-03-21T20:25:21.5741040Z adding 'executorch/kernels/quantized/test/supported_features_def.yaml' 2025-03-21T20:25:21.5741663Z adding 'executorch/kernels/quantized/test/test_out_variants.py' 2025-03-21T20:25:21.5742309Z adding 'executorch/kernels/quantized/test/test_quant_dequant_per_token.py' 2025-03-21T20:25:21.5742845Z adding 'executorch/runtime/__init__.py' 2025-03-21T20:25:21.5743293Z adding 'executorch/runtime/kernel/test/functions.yaml' 2025-03-21T20:25:21.5743763Z adding 'executorch/runtime/test/test_runtime.py' 2025-03-21T20:25:21.5744195Z adding 'executorch/schema/program.fbs' 2025-03-21T20:25:21.5744589Z adding 'executorch/schema/scalar_type.fbs' 2025-03-21T20:25:21.5745034Z adding 'executorch/share/cmake/executorch-config.cmake' 2025-03-21T20:25:21.5745543Z adding 'executorch/util/activation_memory_profiler.py' 2025-03-21T20:25:21.5745990Z adding 'executorch/util/collect_env.py' 2025-03-21T20:25:21.5746392Z adding 'executorch/util/python_profiler.py' 2025-03-21T20:25:21.5746839Z adding 'executorch-0.6.0a0+be92d7d.dist-info/LICENSE' 2025-03-21T20:25:21.5747333Z adding 'executorch-0.6.0a0+be92d7d.dist-info/METADATA' 2025-03-21T20:25:21.5747805Z adding 'executorch-0.6.0a0+be92d7d.dist-info/WHEEL' 2025-03-21T20:25:21.5748322Z adding 'executorch-0.6.0a0+be92d7d.dist-info/entry_points.txt' 2025-03-21T20:25:21.5748877Z adding 'executorch-0.6.0a0+be92d7d.dist-info/top_level.txt' 2025-03-21T20:25:21.5749395Z adding 'executorch-0.6.0a0+be92d7d.dist-info/RECORD' 2025-03-21T20:25:21.5749849Z removing pip-out/bdist.linux-x86_64/wheel 2025-03-21T20:25:21.5750606Z Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone 2025-03-21T20:25:21.5751724Z Created wheel for executorch: filename=executorch-0.6.0a0+be92d7d-cp310-cp310-linux_x86_64.whl size=8540631 sha256=7f4499385be35f125748abed9d8729f74c6c98a12d55208bb1bd152cf8af5e8f 2025-03-21T20:25:21.5753239Z Stored in directory: /tmp/pip-ephem-wheel-cache-udxd431n/wheels/9e/f0/2b/6a778c77421b91e006bef425e288a1e5c7c35b04c51317756b 2025-03-21T20:25:21.5754018Z Successfully built executorch 2025-03-21T20:25:21.5754710Z Installing collected packages: flatbuffers, tabulate, pytest, execnet, pytest-xdist, pytest-rerunfailures, executorch 2025-03-21T20:25:21.5755700Z changing mode of /opt/conda/envs/py_3.10/bin/tabulate to 755 2025-03-21T20:25:21.5756144Z Attempting uninstall: pytest 2025-03-21T20:25:21.5756510Z Found existing installation: pytest 7.2.0 2025-03-21T20:25:21.5756908Z Uninstalling pytest-7.2.0: 2025-03-21T20:25:21.5757414Z Removing file or directory /opt/conda/envs/py_3.10/bin/py.test 2025-03-21T20:25:21.5757971Z Removing file or directory /opt/conda/envs/py_3.10/bin/pytest 2025-03-21T20:25:21.5758742Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/__pycache__/py.cpython-310.pyc 2025-03-21T20:25:21.5759607Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/_pytest/ 2025-03-21T20:25:21.5760372Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/py.py 2025-03-21T20:25:21.5761211Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest-7.2.0.dist-info/ 2025-03-21T20:25:21.5762055Z Removing file or directory /opt/conda/envs/py_3.10/lib/python3.10/site-packages/pytest/ 2025-03-21T20:25:21.5762645Z Successfully uninstalled pytest-7.2.0 2025-03-21T20:25:21.5763102Z changing mode of /opt/conda/envs/py_3.10/bin/py.test to 755 2025-03-21T20:25:21.5763617Z changing mode of /opt/conda/envs/py_3.10/bin/pytest to 755 2025-03-21T20:25:21.5764130Z changing mode of /opt/conda/envs/py_3.10/bin/flatc to 755 2025-03-21T20:25:21.5765082Z 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 2025-03-21T20:25:21.5765958Z + pip list 2025-03-21T20:25:21.5766299Z Package Version Editable project location 2025-03-21T20:25:21.5767059Z ----------------------------- ------------------ ----------------------------------- 2025-03-21T20:25:21.5767517Z alabaster 0.7.16 2025-03-21T20:25:21.5767863Z attrs 25.3.0 2025-03-21T20:25:21.5768198Z babel 2.17.0 2025-03-21T20:25:21.5768541Z beautifulsoup4 4.13.3 2025-03-21T20:25:21.5768886Z breathe 4.34.0 2025-03-21T20:25:21.5769203Z bs4 0.0.2 2025-03-21T20:25:21.5769538Z certifi 2025.1.31 2025-03-21T20:25:21.5769905Z charset-normalizer 3.4.1 2025-03-21T20:25:21.5770249Z cmake 3.31.6 2025-03-21T20:25:21.5770570Z contourpy 1.3.1 2025-03-21T20:25:21.5770902Z coverage 7.7.0 2025-03-21T20:25:21.5771231Z cycler 0.12.1 2025-03-21T20:25:21.5771562Z docutils 0.16 2025-03-21T20:25:21.5771900Z exceptiongroup 1.2.2 2025-03-21T20:25:21.5772225Z execnet 2.1.1 2025-03-21T20:25:21.5772575Z executorch 0.6.0a0+be92d7d 2025-03-21T20:25:21.5772946Z exhale 0.2.3 2025-03-21T20:25:21.5773275Z expecttest 0.1.6 2025-03-21T20:25:21.5773609Z filelock 3.18.0 2025-03-21T20:25:21.5773937Z flatbuffers 25.2.10 2025-03-21T20:25:21.5774279Z fonttools 4.56.0 2025-03-21T20:25:21.5774618Z fsspec 2025.3.0 2025-03-21T20:25:21.5774976Z huggingface-hub 0.29.3 2025-03-21T20:25:21.5775327Z hypothesis 6.84.2 2025-03-21T20:25:21.5775646Z idna 3.10 2025-03-21T20:25:21.5775976Z imagesize 1.4.1 2025-03-21T20:25:21.5776307Z iniconfig 2.1.0 2025-03-21T20:25:21.5776637Z Jinja2 3.1.6 2025-03-21T20:25:21.5776965Z kiwisolver 1.4.8 2025-03-21T20:25:21.5777281Z lxml 5.3.1 2025-03-21T20:25:21.5777615Z markdown-it-py 2.2.0 2025-03-21T20:25:21.5777957Z MarkupSafe 3.0.2 2025-03-21T20:25:21.5778436Z matplotlib 3.10.1 2025-03-21T20:25:21.5778790Z mdit-py-plugins 0.3.5 2025-03-21T20:25:21.5779116Z mdurl 0.1.2 2025-03-21T20:25:21.5779453Z mpmath 1.3.0 2025-03-21T20:25:21.5779792Z myst-parser 0.18.1 2025-03-21T20:25:21.5780136Z networkx 3.4.2 2025-03-21T20:25:21.5780618Z numpy 2.2.4 2025-03-21T20:25:21.5780954Z nvidia-cublas-cu12 12.1.3.1 2025-03-21T20:25:21.5781330Z nvidia-cuda-cupti-cu12 12.1.105 2025-03-21T20:25:21.5781707Z nvidia-cuda-nvrtc-cu12 12.1.105 2025-03-21T20:25:21.5782084Z nvidia-cuda-runtime-cu12 12.1.105 2025-03-21T20:25:21.5782453Z nvidia-cudnn-cu12 9.1.0.70 2025-03-21T20:25:21.5782801Z nvidia-cufft-cu12 11.0.2.54 2025-03-21T20:25:21.5783168Z nvidia-curand-cu12 10.3.2.106 2025-03-21T20:25:21.5783539Z nvidia-cusolver-cu12 11.4.5.107 2025-03-21T20:25:21.5783917Z nvidia-cusparse-cu12 12.1.0.106 2025-03-21T20:25:21.5784284Z nvidia-nccl-cu12 2.20.5 2025-03-21T20:25:21.5784629Z nvidia-nvjitlink-cu12 12.8.93 2025-03-21T20:25:21.5784987Z nvidia-nvtx-cu12 12.1.105 2025-03-21T20:25:21.5785338Z packaging 24.2 2025-03-21T20:25:21.5785670Z pandas 2.2.3 2025-03-21T20:25:21.5786011Z parameterized 0.9.0 2025-03-21T20:25:21.5786336Z pillow 11.1.0 2025-03-21T20:25:21.5786665Z pip 25.0 2025-03-21T20:25:21.5786991Z pluggy 1.5.0 2025-03-21T20:25:21.5787322Z Pygments 2.19.1 2025-03-21T20:25:21.5787662Z pyparsing 3.2.1 2025-03-21T20:25:21.5787981Z pytest 8.3.5 2025-03-21T20:25:21.5788311Z pytest-cov 4.1.0 2025-03-21T20:25:21.5788657Z pytest-rerunfailures 15.0 2025-03-21T20:25:21.5789002Z pytest-xdist 3.6.1 2025-03-21T20:25:21.5789359Z python-dateutil 2.9.0.post0 2025-03-21T20:25:21.5789849Z pytorch_sphinx_theme 0.0.24 /opt/conda/src/pytorch-sphinx-theme 2025-03-21T20:25:21.5790343Z pytz 2025.1 2025-03-21T20:25:21.5790682Z PyYAML 6.0.1 2025-03-21T20:25:21.5791017Z regex 2024.11.6 2025-03-21T20:25:21.5791371Z requests 2.32.3 2025-03-21T20:25:21.5791701Z ruamel.yaml 0.17.32 2025-03-21T20:25:21.5792050Z ruamel.yaml.clib 0.2.12 2025-03-21T20:25:21.5792394Z safetensors 0.5.3 2025-03-21T20:25:21.5792837Z setuptools 75.8.0 2025-03-21T20:25:21.5793168Z six 1.17.0 2025-03-21T20:25:21.5793490Z snowballstemmer 2.2.0 2025-03-21T20:25:21.5793840Z sortedcontainers 2.4.0 2025-03-21T20:25:21.5794185Z soupsieve 2.6 2025-03-21T20:25:21.5794522Z Sphinx 5.3.0 2025-03-21T20:25:21.5794864Z sphinx-copybutton 0.5.0 2025-03-21T20:25:21.5795195Z sphinx_design 0.4.1 2025-03-21T20:25:21.5795538Z sphinx-gallery 0.14.0 2025-03-21T20:25:21.5795898Z sphinxcontrib-applehelp 2.0.0 2025-03-21T20:25:21.5796262Z sphinxcontrib-devhelp 2.0.0 2025-03-21T20:25:21.5796624Z sphinxcontrib-htmlhelp 2.1.0 2025-03-21T20:25:21.5796973Z sphinxcontrib-jsmath 1.0.1 2025-03-21T20:25:21.5797331Z sphinxcontrib-qthelp 2.0.0 2025-03-21T20:25:21.5797698Z sphinxcontrib-serializinghtml 2.0.0 2025-03-21T20:25:21.5798054Z sympy 1.13.3 2025-03-21T20:25:21.5798388Z tabulate 0.9.0 2025-03-21T20:25:21.5798699Z timm 1.0.7 2025-03-21T20:25:21.5799030Z tokenizers 0.21.1 2025-03-21T20:25:21.5799362Z tomli 2.0.1 2025-03-21T20:25:21.5799725Z torch 2.7.0a0+git295f2ed 2025-03-21T20:25:21.5800226Z torchao 0.10.0+git64bcf4c 2025-03-21T20:25:21.5800629Z torchaudio 2.6.0a0+c670ad8 2025-03-21T20:25:21.5801001Z torchsr 1.0.4 2025-03-21T20:25:21.5801364Z torchvision 0.19.0a0+d23a6e1 2025-03-21T20:25:21.5801736Z tqdm 4.67.1 2025-03-21T20:25:21.5802065Z transformers 4.47.1 2025-03-21T20:25:21.5802465Z triton 3.0.0 2025-03-21T20:25:21.5802807Z typing_extensions 4.12.2 2025-03-21T20:25:21.5803151Z tzdata 2025.1 2025-03-21T20:25:21.5803472Z urllib3 2.3.0 2025-03-21T20:25:21.5803802Z wheel 0.45.1 2025-03-21T20:25:21.5804139Z zstd 1.5.5.1 2025-03-21T20:25:21.5804499Z + build_executorch_runner cmake Release 2025-03-21T20:25:21.5804868Z + [[ cmake == \b\u\c\k\2 ]] 2025-03-21T20:25:21.5805166Z + [[ cmake == \c\m\a\k\e ]] 2025-03-21T20:25:21.5805497Z + build_executorch_runner_cmake Release 2025-03-21T20:25:21.5805868Z + CMAKE_OUTPUT_DIR=cmake-out 2025-03-21T20:25:21.5806204Z + clean_executorch_install_folders 2025-03-21T20:25:27.1866073Z + ./install_executorch.sh --clean 2025-03-21T20:25:27.1867041Z Cleaning build artifacts... 2025-03-21T20:25:27.1867617Z Cleaning pip-out/... 2025-03-21T20:25:27.1868118Z Cleaning cmake-out/... 2025-03-21T20:25:27.1868684Z Done cleaning build artifacts. 2025-03-21T20:25:27.1869278Z + mkdir cmake-out 2025-03-21T20:25:27.1869706Z + pushd cmake-out 2025-03-21T20:25:27.1870218Z /pytorch/executorch/cmake-out /pytorch/executorch 2025-03-21T20:25:27.1870905Z + [[ Release == \D\e\b\u\g ]] 2025-03-21T20:25:27.1880795Z + CXXFLAGS= 2025-03-21T20:25:27.1881239Z + CXXFLAGS= 2025-03-21T20:25:27.1881946Z + retry cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2025-03-21T20:25:27.1883015Z + cmake -DPYTHON_EXECUTABLE=python -DCMAKE_BUILD_TYPE=Release .. 2025-03-21T20:25:27.1883907Z -- The C compiler identification is Clang 12.0.1 2025-03-21T20:25:27.1884736Z -- The CXX compiler identification is Clang 12.0.1 2025-03-21T20:25:27.1885452Z -- Detecting C compiler ABI info 2025-03-21T20:25:27.1886092Z -- Detecting C compiler ABI info - done 2025-03-21T20:25:27.1886900Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-03-21T20:25:27.1887698Z -- Detecting C compile features 2025-03-21T20:25:27.1888330Z -- Detecting C compile features - done 2025-03-21T20:25:27.1888961Z -- Detecting CXX compiler ABI info 2025-03-21T20:25:27.1889608Z -- Detecting CXX compiler ABI info - done 2025-03-21T20:25:27.1890396Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-03-21T20:25:27.1891224Z -- Detecting CXX compile features 2025-03-21T20:25:27.1891881Z -- Detecting CXX compile features - done 2025-03-21T20:25:27.1893595Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:25:27.1895089Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:25:27.1895985Z CMake. 2025-03-21T20:25:27.1896233Z 2025-03-21T20:25:27.1896698Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:25:27.1897862Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:25:27.1898882Z to work with policies introduced by or earlier. 2025-03-21T20:25:27.1899426Z 2025-03-21T20:25:27.1899730Z  2025-03-21T20:25:27.1901001Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:25:27.1902369Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:25:27.1903200Z CMake. 2025-03-21T20:25:27.1903427Z 2025-03-21T20:25:27.1903918Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:25:27.1905001Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:25:27.1905962Z to work with policies introduced by or earlier. 2025-03-21T20:25:27.1906874Z 2025-03-21T20:25:27.1907149Z  2025-03-21T20:25:27.1907626Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-03-21T20:25:27.1908401Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-03-21T20:25:27.1909153Z -- Found Threads: TRUE 2025-03-21T20:25:27.1910803Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:25:27.1912468Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:25:27.1913485Z CMake. 2025-03-21T20:25:27.1913729Z 2025-03-21T20:25:27.1914205Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:25:27.1915377Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:25:27.1916416Z to work with policies introduced by or earlier. 2025-03-21T20:25:27.1916967Z 2025-03-21T20:25:27.1917191Z  2025-03-21T20:25:27.1917655Z -- Using python executable 'python' 2025-03-21T20:25:27.1918294Z -- Resolved buck2 as buck2. 2025-03-21T20:25:27.1918852Z -- Killing buck2 daemon 2025-03-21T20:25:27.1919341Z 'buck2 killall' 2025-03-21T20:25:27.1919835Z -- executorch: Generating source lists 2025-03-21T20:25:27.1920829Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-03-21T20:25:27.1922330Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-03-21T20:25:27.1923360Z -- executorch: Using PAL default 'posix' 2025-03-21T20:25:27.1924035Z -- Generating operator lib: 2025-03-21T20:25:27.1924589Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:25:27.1925405Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:25:27.1926276Z -- ROOT_OPS: 2025-03-21T20:25:27.1926721Z -- INCLUDE_ALL_OPS: 2025-03-21T20:25:27.1929400Z 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" 2025-03-21T20:25:27.1931823Z -- Generating kernel bindings: 2025-03-21T20:25:27.1932435Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:25:27.1933264Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:25:27.1934153Z -- CUSTOM_OPS_YAML: 2025-03-21T20:25:27.1934708Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-03-21T20:25:27.1938408Z 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 2025-03-21T20:25:27.1941731Z -- Generating operator lib: 2025-03-21T20:25:27.1942315Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:25:27.1942899Z -- KERNEL_LIBS: portable_kernels 2025-03-21T20:25:27.1943494Z -- DEPS: executorch 2025-03-21T20:25:27.1944679Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-03-21T20:25:27.1946081Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:25:27.1946975Z CMake. 2025-03-21T20:25:27.1947209Z 2025-03-21T20:25:27.1947663Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:25:27.1948849Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:25:27.1949853Z to work with policies introduced by or earlier. 2025-03-21T20:25:27.1950403Z 2025-03-21T20:25:27.1950644Z  2025-03-21T20:25:27.1951079Z -- Looking for C++ include unistd.h 2025-03-21T20:25:27.1951720Z -- Looking for C++ include unistd.h - found 2025-03-21T20:25:27.1952384Z -- Looking for C++ include stdint.h 2025-03-21T20:25:27.1953147Z -- Looking for C++ include stdint.h - found 2025-03-21T20:25:27.1953833Z -- Looking for C++ include inttypes.h 2025-03-21T20:25:27.1954718Z -- Looking for C++ include inttypes.h - found 2025-03-21T20:25:27.1955423Z -- Looking for C++ include sys/types.h 2025-03-21T20:25:27.1956111Z -- Looking for C++ include sys/types.h - found 2025-03-21T20:25:27.1956835Z -- Looking for C++ include sys/stat.h 2025-03-21T20:25:27.1957526Z -- Looking for C++ include sys/stat.h - found 2025-03-21T20:25:27.1958215Z -- Looking for C++ include fnmatch.h 2025-03-21T20:25:27.1958964Z -- Looking for C++ include fnmatch.h - found 2025-03-21T20:25:27.1959645Z -- Looking for C++ include stddef.h 2025-03-21T20:25:27.1960316Z -- Looking for C++ include stddef.h - found 2025-03-21T20:25:27.1960993Z -- Check size of uint32_t 2025-03-21T20:25:27.1961536Z -- Check size of uint32_t - done 2025-03-21T20:25:27.1962131Z -- Looking for strtoll 2025-03-21T20:25:27.1962635Z -- Looking for strtoll - found 2025-03-21T20:25:27.1963176Z -- 2025-03-21T20:25:27.1963587Z -- ******** Summary ******** 2025-03-21T20:25:27.1964156Z -- CMAKE_BUILD_TYPE : Release 2025-03-21T20:25:27.1964849Z -- CMAKE_CXX_STANDARD : 17 2025-03-21T20:25:27.1965515Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-03-21T20:25:27.1966171Z -- CMAKE_TOOLCHAIN_FILE : 2025-03-21T20:25:27.1966995Z -- BUCK2 : buck2 2025-03-21T20:25:27.1967619Z -- PYTHON_EXECUTABLE : python 2025-03-21T20:25:27.1968617Z -- FLATC_EXECUTABLE : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc 2025-03-21T20:25:27.1969705Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2025-03-21T20:25:27.1970483Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-03-21T20:25:27.1971236Z -- EXECUTORCH_LOG_LEVEL : Info 2025-03-21T20:25:27.1971971Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2025-03-21T20:25:27.1972695Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-03-21T20:25:27.1973429Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-03-21T20:25:27.1974170Z -- EXECUTORCH_BUILD_COREML : OFF 2025-03-21T20:25:27.1974825Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-03-21T20:25:27.1975514Z -- EXECUTORCH_BUILD_DEVTOOLS : OFF 2025-03-21T20:25:27.1976221Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 2025-03-21T20:25:27.1976844Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : OFF 2025-03-21T20:25:27.1977462Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : OFF 2025-03-21T20:25:27.1978219Z -- EXECUTORCH_BUILD_EXTENSION_LLM : OFF 2025-03-21T20:25:27.1978943Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : OFF 2025-03-21T20:25:27.1979659Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF 2025-03-21T20:25:27.1980438Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : OFF 2025-03-21T20:25:27.1981219Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : OFF 2025-03-21T20:25:27.1981974Z -- EXECUTORCH_BUILD_FLATC : ON 2025-03-21T20:25:27.1982695Z -- EXECUTORCH_BUILD_GFLAGS : ON 2025-03-21T20:25:27.1983413Z -- EXECUTORCH_BUILD_HOST_TARGETS : ON 2025-03-21T20:25:27.1984179Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2025-03-21T20:25:27.1984939Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : OFF 2025-03-21T20:25:27.1985721Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : OFF 2025-03-21T20:25:27.1986492Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : OFF 2025-03-21T20:25:27.1987223Z -- EXECUTORCH_BUILD_MPS : OFF 2025-03-21T20:25:27.1987884Z -- EXECUTORCH_BUILD_NEURON : OFF 2025-03-21T20:25:27.1988621Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-03-21T20:25:27.1989329Z -- EXECUTORCH_BUILD_PYBIND : OFF 2025-03-21T20:25:27.1990044Z -- EXECUTORCH_BUILD_QNN : OFF 2025-03-21T20:25:27.1990749Z -- EXECUTORCH_BUILD_SIZE_TEST : OFF 2025-03-21T20:25:27.1991466Z -- EXECUTORCH_BUILD_TESTS : OFF 2025-03-21T20:25:27.1992193Z -- EXECUTORCH_BUILD_VULKAN : OFF 2025-03-21T20:25:27.1993056Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2025-03-21T20:25:27.1994012Z -- Configuring done (5.1s) 2025-03-21T20:25:27.1994577Z -- Generating done (0.1s) 2025-03-21T20:25:27.1995324Z -- Build files have been written to: /pytorch/executorch/cmake-out 2025-03-21T20:25:27.1996122Z + popd 2025-03-21T20:25:27.1996521Z /pytorch/executorch 2025-03-21T20:25:27.1996974Z ++ uname 2025-03-21T20:25:27.1997375Z + '[' Linux == Darwin ']' 2025-03-21T20:25:27.1997878Z ++ nproc 2025-03-21T20:25:27.1998479Z + CMAKE_JOBS=7 2025-03-21T20:25:27.1998971Z + cmake --build cmake-out -j 7 2025-03-21T20:25:27.1999869Z [ 0%] Creating directories for 'flatbuffers' 2025-03-21T20:25:27.2001406Z [ 0%] Building CXX object 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Performing configure step for 'flatbuffers' 2025-03-21T20:25:27.2017135Z CMake Warning: 2025-03-21T20:25:27.2017610Z Ignoring empty string ("") provided on the command line. 2025-03-21T20:25:27.2018060Z 2025-03-21T20:25:27.2018228Z  2025-03-21T20:25:27.2018653Z fatal: No names found, cannot describe anything. 2025-03-21T20:25:27.2019541Z CMake Warning at CMake/Version.cmake:32 (message): 2025-03-21T20:25:28.9503302Z git describe failed with exit code: 128 2025-03-21T20:25:28.9503873Z 2025-03-21T20:25:28.9504235Z Make sure you cloned with tags or run 'git fetch --tags'. 2025-03-21T20:25:28.9505053Z Call Stack (most recent call first): 2025-03-21T20:25:28.9505752Z CMakeLists.txt:5 (include) 2025-03-21T20:25:28.9506080Z 2025-03-21T20:25:28.9506490Z  2025-03-21T20:25:28.9506890Z -- Proceeding with version: 24.3.25.0 2025-03-21T20:25:28.9508212Z [ 2%] Building C object backends/xnnpack/third-party/cpuinfo/CMakeFiles/cpuinfo.dir/src/cache.c.o 2025-03-21T20:25:28.9510303Z [ 3%] Building C 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xxhash-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (194 kB) 2025-03-21T20:26:03.7666044Z Downloading aiohappyeyeballs-2.6.1-py3-none-any.whl (15 kB) 2025-03-21T20:26:03.7666791Z Downloading aiosignal-1.3.2-py2.py3-none-any.whl (7.6 kB) 2025-03-21T20:26:03.7667324Z Downloading async_timeout-5.0.1-py3-none-any.whl (6.2 kB) 2025-03-21T20:26:03.7667823Z Downloading chardet-5.2.0-py3-none-any.whl (199 kB) 2025-03-21T20:26:03.7668644Z Downloading frozenlist-1.5.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (241 kB) 2025-03-21T20:26:03.7670243Z Downloading multidict-6.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB) 2025-03-21T20:26:03.7671092Z Downloading propcache-0.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (205 kB) 2025-03-21T20:26:03.7671958Z Downloading yarl-1.18.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (319 kB) 2025-03-21T20:26:03.7672847Z Downloading click-8.1.8-py3-none-any.whl (98 kB) 2025-03-21T20:26:03.7673425Z Building wheels for collected packages: rouge-score, sqlitedict, word2number 2025-03-21T20:26:03.7674133Z Building wheel for rouge-score (setup.py) ... [?25l- done 2025-03-21T20:26:03.7675263Z [?25h Created wheel for rouge-score: filename=rouge_score-0.1.2-py3-none-any.whl size=24986 sha256=1f6d2a562566408254646afb51c3c1a4063379bbcaf91839e6d9ae0e9e505c2f 2025-03-21T20:26:03.7676490Z Stored in directory: /var/lib/ci-user/.cache/pip/wheels/5f/dd/89/461065a73be61a532ff8599a28e9beef17985c9e9c31e541b4 2025-03-21T20:26:03.7677369Z Building wheel for sqlitedict (setup.py) ... [?25l- done 2025-03-21T20:26:03.7678497Z [?25h Created wheel for sqlitedict: filename=sqlitedict-2.1.0-py3-none-any.whl size=16928 sha256=a7af993718203d81af649daf55cb3b1cea9e203506b9133cb1142d22d05c322c 2025-03-21T20:26:03.7679735Z Stored in directory: /var/lib/ci-user/.cache/pip/wheels/79/d6/e7/304e0e6cb2221022c26d8161f7c23cd4f259a9e41e8bbcfabd 2025-03-21T20:26:03.7680605Z Building wheel for word2number (setup.py) ... [?25l- done 2025-03-21T20:26:03.7681712Z [?25h Created wheel for word2number: filename=word2number-1.1-py3-none-any.whl size=5625 sha256=c7e722402d07e0d6bd02624f4499aa113f759f4ee605877f19836544db3b0e9a 2025-03-21T20:26:03.7682945Z Stored in directory: /var/lib/ci-user/.cache/pip/wheels/84/ff/26/d3cfbd971e96c5aa3737ecfced81628830d7359b55fbb8ca3b 2025-03-21T20:26:03.7683734Z Successfully built rouge-score sqlitedict word2number 2025-03-21T20:26:03.7686641Z 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 2025-03-21T20:26:03.7689499Z Attempting uninstall: fsspec 2025-03-21T20:26:03.7689869Z Found existing installation: fsspec 2025.3.0 2025-03-21T20:26:03.7690275Z Uninstalling fsspec-2025.3.0: 2025-03-21T20:26:03.7690657Z Successfully uninstalled fsspec-2025.3.0 2025-03-21T20:26:03.7694289Z 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 2025-03-21T20:26:03.7698058Z Failed to import examples.models due to lm_eval conflict. Removing lm_eval examples module 2025-03-21T20:26:03.7698635Z + PYTHON_EXECUTABLE=python 2025-03-21T20:26:03.7699289Z + bash .ci/scripts/test_llama.sh -model stories110M -build_tool cmake -mode qnn -dtype fp32 -pt2e_quantize qnn_16a16w 2025-03-21T20:26:03.7700038Z ++ dirname .ci/scripts/test_llama.sh 2025-03-21T20:26:03.7700399Z + source .ci/scripts/utils.sh 2025-03-21T20:26:03.7700716Z + [[ 10 -gt 0 ]] 2025-03-21T20:26:03.7700980Z + case "$1" in 2025-03-21T20:26:03.7701252Z + MODEL_NAME=stories110M 2025-03-21T20:26:03.7701535Z + shift 2 2025-03-21T20:26:03.7701782Z + [[ 8 -gt 0 ]] 2025-03-21T20:26:03.7702039Z + case "$1" in 2025-03-21T20:26:03.7702355Z + BUILD_TOOL=cmake 2025-03-21T20:26:03.7702620Z + shift 2 2025-03-21T20:26:03.7702845Z + [[ 6 -gt 0 ]] 2025-03-21T20:26:03.7703099Z + case "$1" in 2025-03-21T20:26:03.7703350Z + MODE=qnn 2025-03-21T20:26:03.7703589Z + shift 2 2025-03-21T20:26:03.7703813Z + [[ 4 -gt 0 ]] 2025-03-21T20:26:03.7704068Z + case "$1" in 2025-03-21T20:26:03.7704325Z + DTYPE=fp32 2025-03-21T20:26:03.7704575Z + shift 2 2025-03-21T20:26:03.7704808Z + [[ 2 -gt 0 ]] 2025-03-21T20:26:03.7705052Z + case "$1" in 2025-03-21T20:26:03.7705322Z + PT2E_QUANTIZE=qnn_16a16w 2025-03-21T20:26:03.7705616Z + shift 2 2025-03-21T20:26:03.7705859Z + [[ 0 -gt 0 ]] 2025-03-21T20:26:03.7706097Z + MODE=qnn 2025-03-21T20:26:03.7706342Z + UPLOAD_DIR= 2025-03-21T20:26:03.7706611Z + PT2E_QUANTIZE=qnn_16a16w 2025-03-21T20:26:03.7706926Z + CMAKE_BUILD_TYPE=Release 2025-03-21T20:26:03.7707221Z + [[ 0 -lt 4 ]] 2025-03-21T20:26:03.7707522Z + echo 'Expecting atleast 4 positional arguments' 2025-03-21T20:26:03.7707951Z Expecting atleast 4 positional arguments 2025-03-21T20:26:03.7708324Z + echo 'Usage: [...]' 2025-03-21T20:26:03.7708603Z Usage: [...] 2025-03-21T20:26:03.7708868Z + [[ -z stories110M ]] 2025-03-21T20:26:03.7709139Z + [[ -z cmake ]] 2025-03-21T20:26:03.7709401Z + [[ -z fp32 ]] 2025-03-21T20:26:03.7709658Z + [[ -z qnn ]] 2025-03-21T20:26:03.7709923Z + [[ qnn =~ .*xnnpack.* ]] 2025-03-21T20:26:03.7710221Z + XNNPACK=OFF 2025-03-21T20:26:03.7710470Z + [[ qnn =~ .*custom.* ]] 2025-03-21T20:26:03.7710763Z + CUSTOM=OFF 2025-03-21T20:26:03.7711015Z + [[ qnn =~ .*qe.* ]] 2025-03-21T20:26:03.7711288Z + QE=OFF 2025-03-21T20:26:03.7711520Z + [[ qnn =~ .*mps.* ]] 2025-03-21T20:26:03.7711802Z + MPS=OFF 2025-03-21T20:26:03.7712059Z + echo 'MPS option OFF' 2025-03-21T20:26:03.7712352Z MPS option OFF 2025-03-21T20:26:03.7712734Z + [[ qnn =~ .*coreml.* ]] 2025-03-21T20:26:03.7713019Z + COREML=OFF 2025-03-21T20:26:03.7713291Z + [[ qnn =~ .*quantize_kv.* ]] 2025-03-21T20:26:03.7713615Z + QUANTIZE_KV_CACHE=OFF 2025-03-21T20:26:03.7713926Z + echo 'COREML option OFF' 2025-03-21T20:26:03.7714243Z COREML option OFF 2025-03-21T20:26:03.7714500Z + [[ qnn =~ .*qnn.* ]] 2025-03-21T20:26:03.7714776Z + QNN=ON 2025-03-21T20:26:03.7715042Z +++ dirname -- .ci/scripts/test_llama.sh 2025-03-21T20:26:03.7715399Z ++ cd -- .ci/scripts/.. 2025-03-21T20:26:03.7715668Z ++ pwd 2025-03-21T20:26:03.7715964Z + export EXECUTORCH_ROOT=/pytorch/executorch/.ci 2025-03-21T20:26:03.7716384Z + EXECUTORCH_ROOT=/pytorch/executorch/.ci 2025-03-21T20:26:03.7716780Z + export QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-03-21T20:26:03.7717158Z + QNN_SDK_ROOT=/tmp/qnn/2.28.0.241029 2025-03-21T20:26:03.7717615Z + export LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang 2025-03-21T20:26:03.7718164Z + LD_LIBRARY_PATH=/tmp/qnn/2.28.0.241029/lib/x86_64-linux-clang 2025-03-21T20:26:03.7718601Z + export PYTHONPATH=.. 2025-03-21T20:26:03.7718893Z + PYTHONPATH=.. 2025-03-21T20:26:03.7719219Z + cp schema/program.fbs exir/_serialize/program.fbs 2025-03-21T20:26:03.7719709Z + cp schema/scalar_type.fbs exir/_serialize/scalar_type.fbs 2025-03-21T20:26:03.7720499Z + cp -f build-x86/backends/qualcomm/PyQnnManagerAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python 2025-03-21T20:26:03.7721582Z + cp -f build-x86/backends/qualcomm/PyQnnWrapperAdaptor.cpython-310-x86_64-linux-gnu.so backends/qualcomm/python 2025-03-21T20:26:03.7722292Z + echo 'QNN option ON' 2025-03-21T20:26:03.7722577Z QNN option ON 2025-03-21T20:26:03.7722865Z + echo 'QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029' 2025-03-21T20:26:03.7723232Z QNN_SDK_ROOT: /tmp/qnn/2.28.0.241029 2025-03-21T20:26:03.7723562Z + [[ -z '' ]] 2025-03-21T20:26:03.7723917Z + BUCK=buck2 2025-03-21T20:26:03.7724172Z + [[ -z python ]] 2025-03-21T20:26:03.7724438Z + which python 2025-03-21T20:26:03.7724709Z /opt/conda/envs/py_3.10/bin/python 2025-03-21T20:26:03.7725060Z + PARAMS=params.json 2025-03-21T20:26:03.7725358Z + CHECKPOINT_FILE_NAME= 2025-03-21T20:26:03.7725658Z + touch params.json 2025-03-21T20:26:03.7725934Z + [[ stories110M == \l\l\a\m\a ]] 2025-03-21T20:26:03.7726336Z + [[ stories110M == \s\t\o\r\i\e\s* ]] 2025-03-21T20:26:03.7726705Z + CHECKPOINT_FILE_NAME=stories110M.pt 2025-03-21T20:26:03.7727075Z + download_stories_model_artifacts 2025-03-21T20:26:03.7727757Z + curl -Ls https://huggingface.co/karpathy/tinyllamas/resolve/main/stories110M.pt --output stories110M.pt 2025-03-21T20:26:03.7728764Z + curl -Ls https://raw.githubusercontent.com/karpathy/llama2.c/master/tokenizer.model --output tokenizer.model 2025-03-21T20:26:03.7729438Z + touch params.json 2025-03-21T20:26:03.7729914Z + echo '{"dim": 768, "multiple_of": 32, "n_heads": 12, "n_layers": 12, "norm_eps": 1e-05, "vocab_size": 32000}' 2025-03-21T20:26:03.7730489Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32 2025-03-21T20:26:03.7730858Z + [[ fp32 == \f\p\1\6 ]] 2025-03-21T20:26:03.7731153Z + [[ fp32 == \b\f\1\6 ]] 2025-03-21T20:26:03.7731432Z + [[ fp32 == \f\p\3\2 ]] 2025-03-21T20:26:03.7731712Z + : 2025-03-21T20:26:03.7731988Z + EXPORTED_MODEL_NAME=tinyllama_qnn_fp32.pte 2025-03-21T20:26:03.7732396Z + echo 'Exporting tinyllama_qnn_fp32.pte' 2025-03-21T20:26:03.7732781Z Exporting tinyllama_qnn_fp32.pte 2025-03-21T20:26:03.7733293Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv' 2025-03-21T20:26:03.7733826Z + [[ OFF == \O\N ]] 2025-03-21T20:26:03.7734091Z + [[ OFF == \O\N ]] 2025-03-21T20:26:03.7734355Z + [[ OFF == \O\N ]] 2025-03-21T20:26:03.7734615Z + [[ OFF == \O\N ]] 2025-03-21T20:26:03.7734861Z + [[ OFF == \O\N ]] 2025-03-21T20:26:03.7735119Z + [[ ON == \O\N ]] 2025-03-21T20:26:03.7735720Z + EXPORT_ARGS='-c stories110M.pt -p params.json -d fp32 -n tinyllama_qnn_fp32.pte -kv -kv -v --qnn --disable_dynamic_shape' 2025-03-21T20:26:03.7736416Z + echo 'PT2E_QUANTIZE is qnn_16a16w' 2025-03-21T20:26:03.7736772Z PT2E_QUANTIZE is qnn_16a16w 2025-03-21T20:26:03.7737085Z + [[ qnn_16a16w == \q\n\n\_\1\6\a\1\6\w ]] 2025-03-21T20:26:03.7738050Z + EXPORT_ARGS+=' --tokenizer_path tokenizer.model --pt2e_quantize qnn_16a16w --calibration_tasks wikitext --calibration_limit 1 --calibration_seq_length 128 --calibration_data Once ' 2025-03-21T20:26:03.7738992Z + [[ OFF == \O\N ]] 2025-03-21T20:26:18.3393125Z + 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 --tokenizer_path tokenizer.model --pt2e_quantize qnn_16a16w --calibration_tasks wikitext --calibration_limit 1 --calibration_seq_length 128 --calibration_data Once 2025-03-21T20:26:18.3394928Z [INFO 2025-03-21 20:26:08,597 utils.py:162] NumExpr defaulting to 8 threads. 2025-03-21T20:26:18.3395854Z [WARNING 2025-03-21 20:26:09,260 quantizer_lib.py:180] Disable per channel quantization for linear and conv due to the error with QNN HTP 16a16w. 2025-03-21T20:26:18.3397184Z [INFO 2025-03-21 20:26:09,261 export_llama_lib.py:627] Applying quantizers: [] 2025-03-21T20:26:18.3398688Z [INFO 2025-03-21 20:26:09,261 export_llama_lib.py:992] Loading model with checkpoint=stories110M.pt, params=params.json, use_kv_cache=True, weight_type=WeightType.LLAMA 2025-03-21T20:26:18.3400851Z [INFO 2025-03-21 20:26:09,900 builder.py:161] Applied source transforms: [, , , , ] 2025-03-21T20:26:18.3402674Z [INFO 2025-03-21 20:26:09,902 builder.py:162] Model after source transforms: Transformer( 2025-03-21T20:26:18.3403558Z (tok_embeddings): Embedding(32000, 768) 2025-03-21T20:26:18.3403926Z (rope): Rope( 2025-03-21T20:26:18.3404212Z (apply_rotary_emb): RotaryEmbedding() 2025-03-21T20:26:18.3404596Z ) 2025-03-21T20:26:18.3404907Z (layers): ModuleList( 2025-03-21T20:26:18.3405214Z (0-11): 12 x TransformerBlock( 2025-03-21T20:26:18.3405550Z (attention): AttentionMHA( 2025-03-21T20:26:18.3405995Z (wq): Conv2D( 2025-03-21T20:26:18.3412759Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3413355Z ) 2025-03-21T20:26:18.3413610Z (wk): Conv2D( 2025-03-21T20:26:18.3413995Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3414453Z ) 2025-03-21T20:26:18.3414704Z (wv): Conv2D( 2025-03-21T20:26:18.3415092Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3415544Z ) 2025-03-21T20:26:18.3415777Z (wo): Conv2D( 2025-03-21T20:26:18.3416185Z (conv): Conv2d(768, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3416637Z ) 2025-03-21T20:26:18.3416886Z (rope): Rope( 2025-03-21T20:26:18.3417207Z (apply_rotary_emb): RotaryEmbedding() 2025-03-21T20:26:18.3417560Z ) 2025-03-21T20:26:18.3417828Z (kv_cache): KVCacheSimple() 2025-03-21T20:26:18.3418302Z (SDPA): SDPAFlex() 2025-03-21T20:26:18.3418599Z ) 2025-03-21T20:26:18.3418860Z (feed_forward): FeedForward( 2025-03-21T20:26:18.3419178Z (w1): Conv2D( 2025-03-21T20:26:18.3419569Z (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3420023Z ) 2025-03-21T20:26:18.3420265Z (w2): Conv2D( 2025-03-21T20:26:18.3420658Z (conv): Conv2d(768, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3421096Z ) 2025-03-21T20:26:18.3421341Z (w3): Conv2D( 2025-03-21T20:26:18.3421738Z (conv): Conv2d(2048, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3422193Z ) 2025-03-21T20:26:18.3422431Z ) 2025-03-21T20:26:18.3422786Z (attention_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True) 2025-03-21T20:26:18.3423347Z (ffn_norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True) 2025-03-21T20:26:18.3423771Z ) 2025-03-21T20:26:18.3424010Z ) 2025-03-21T20:26:18.3424322Z (norm): RMSNorm((768,), eps=1e-05, elementwise_affine=True) 2025-03-21T20:26:18.3424723Z (output): Conv2D( 2025-03-21T20:26:18.3425117Z (conv): Conv2d(32000, 768, kernel_size=(1, 1), stride=(1, 1), bias=False) 2025-03-21T20:26:18.3425568Z ) 2025-03-21T20:26:18.3425800Z ) 2025-03-21T20:26:18.3427154Z /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.) 2025-03-21T20:26:18.3428637Z torch._C._set_onednn_allow_tf32(_allow_tf32) 2025-03-21T20:26:18.3430108Z /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.) 2025-03-21T20:26:18.3431580Z torch._C._set_onednn_allow_tf32(_allow_tf32) 2025-03-21T20:26:18.3432167Z [INFO 2025-03-21 20:26:17,317 builder.py:251] Running canonical pass: RemoveRedundantTransposes 2025-03-21T20:26:18.3433412Z [INFO 2025-03-21 20:26:17,388 builder.py:337] Using pt2e [] to quantizing the model... 2025-03-21T20:26:18.3434838Z [INFO 2025-03-21 20:26:17,388 builder.py:344] Applied quantizers: [] 2025-03-21T20:26:18.3435932Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3436456Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3436962Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3437482Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3438072Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3438592Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3439103Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3439601Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3440116Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3440633Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3441149Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3441661Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3442175Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3442675Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3443188Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3443702Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3444218Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3444838Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3445344Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3445855Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3446371Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3446893Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3447409Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3447914Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3448431Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3448949Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3449464Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3449983Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3450501Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3451005Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3451522Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3452034Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3452548Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3453066Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3453575Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3454088Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3454604Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3455121Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3455645Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3456144Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3456658Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3457178Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3457684Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3458199Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3458717Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3459235Z No quant config is implemented for op, aten._to_copy.default 2025-03-21T20:26:18.3459861Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3460377Z No quant config is implemented for op, aten.type_as.default 2025-03-21T20:26:18.3460871Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3461374Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3461934Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3462436Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3462934Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3463419Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3463918Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3464422Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3464923Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3465428Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3465929Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3466414Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3467228Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3467731Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3468241Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3468741Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3469228Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3469724Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3470219Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3470716Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3471209Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:26:18.3471696Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:30:49.4461695Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:30:49.4462783Z No quant config is implemented for op, aten.copy_.default 2025-03-21T20:30:49.4464426Z [INFO 2025-03-21 20:26:29,975 builder.py:353] Calibrating with tasks: ['wikitext'], limit: 1, calibration_data: Once, tokenizer_path: tokenizer.model, seq_length: 128 2025-03-21T20:30:49.4466815Z [INFO 2025-03-21 20:26:29,975 builder.py:364] Calibrating with tasks: ['wikitext'], limit: 1, calibration_data: Once, tokenizer_path: tokenizer.model, seq_length: 128 2025-03-21T20:30:49.4468178Z [INFO 2025-03-21 20:26:29,975 builder.py:265] Run calibration... 2025-03-21T20:30:49.4469045Z [INFO 2025-03-21 20:26:30,268 config.py:54] PyTorch version 2.7.0a0+git295f2ed available. 2025-03-21T20:30:49.4470133Z [INFO 2025-03-21 20:26:31,871 tokenizer.py:33] #words: 32000 - BOS ID: 1 - EOS ID: 2 2025-03-21T20:30:49.4471142Z [INFO 2025-03-21 20:26:47,334 huggingface.py:129] Using device 'cpu' 2025-03-21T20:30:49.4471703Z 2025-03-21T20:30:49.4471904Z config.json: 0% 0.00/665 [00:00.50:412 in forward, code: dequantize_per_tensor_default_168 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_168, 0.0004140927630942315, 29454, 0, 65535, torch.int32); quantize_per_tensor_default_168 = None 2025-03-21T20:31:48.4988492Z quantized_decomposed_dequantize_per_tensor_default_193: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_19, 0.0004140927630942315, 29454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_19 = None 2025-03-21T20:31:48.4989992Z 2025-03-21T20:31:48.4990726Z # 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) 2025-03-21T20:31:48.4992312Z aten_view_copy_default_1: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_187, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_187 = None 2025-03-21T20:31:48.4994389Z quantized_decomposed_quantize_per_tensor_default_20: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_1, 0.0002585018228273839, 30370, 0, 65535, torch.int32); aten_view_copy_default_1 = None 2025-03-21T20:31:48.4995660Z 2025-03-21T20:31:48.4996834Z # File: .50:415 in forward, code: dequantize_per_tensor_default_169 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_169, 0.0002585018228273839, 30370, 0, 65535, torch.int32); quantize_per_tensor_default_169 = None 2025-03-21T20:31:48.4999306Z quantized_decomposed_dequantize_per_tensor_default_194: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_20, 0.0002585018228273839, 30370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_20 = None 2025-03-21T20:31:48.5000812Z 2025-03-21T20:31:48.5001538Z # 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) 2025-03-21T20:31:48.5003108Z aten_view_copy_default_2: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_192, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_192 = None 2025-03-21T20:31:48.5005094Z quantized_decomposed_quantize_per_tensor_default_21: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_2, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_view_copy_default_2 = None 2025-03-21T20:31:48.5006365Z 2025-03-21T20:31:48.5007291Z # 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) 2025-03-21T20:31:48.5009463Z quantized_decomposed_dequantize_per_tensor_default_195: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_21, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_21 = None 2025-03-21T20:31:48.5010981Z 2025-03-21T20:31:48.5011938Z # File: .50:420 in forward, code: quantize_per_tensor_default_171 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy, 0.0004140927630942315, 29454, 0, 65535, torch.int32); _to_copy = None 2025-03-21T20:31:48.5014190Z quantized_decomposed_quantize_per_tensor_default_22: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_193, 0.0004140927630942315, 29454, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_193 = None 2025-03-21T20:31:48.5015694Z 2025-03-21T20:31:48.5016431Z # 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) 2025-03-21T20:31:48.5018460Z quantized_decomposed_dequantize_per_tensor_default_196: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_22, 0.0004140927630942315, 29454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_22 = None 2025-03-21T20:31:48.5020743Z aten_view_copy_default_3: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_196, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_196 = None 2025-03-21T20:31:48.5022736Z quantized_decomposed_quantize_per_tensor_default_23: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_3, 0.0004140927630942315, 29454, 0, 65535, torch.int32); aten_view_copy_default_3 = None 2025-03-21T20:31:48.5025190Z quantized_decomposed_dequantize_per_tensor_default_197: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_23, 0.0004140927630942315, 29454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_23 = None 2025-03-21T20:31:48.5027198Z aten_slice_copy_tensor: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_197, 4, 0, 1) 2025-03-21T20:31:48.5028764Z aten_slice_copy_tensor_1: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_197, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_197 = None 2025-03-21T20:31:48.5030306Z 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 2025-03-21T20:31:48.5031574Z 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 2025-03-21T20:31:48.5033398Z quantized_decomposed_quantize_per_tensor_default_24: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_3, 0.00039459901745431125, 27671, 0, 65535, torch.int32); aten_squeeze_copy_dims_3 = None 2025-03-21T20:31:48.5034635Z 2025-03-21T20:31:48.5035341Z # 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 2025-03-21T20:31:48.5037041Z quantized_decomposed_dequantize_per_tensor_default_198: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_24, 0.00039459901745431125, 27671, 0, 65535, torch.int32) 2025-03-21T20:31:48.5038328Z 2025-03-21T20:31:48.5039011Z # 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 2025-03-21T20:31:48.5040959Z quantized_decomposed_dequantize_per_tensor_default_199: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_24, 0.00039459901745431125, 27671, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_24 = None 2025-03-21T20:31:48.5042473Z 2025-03-21T20:31:48.5043199Z # 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) 2025-03-21T20:31:48.5044992Z quantized_decomposed_quantize_per_tensor_default_25: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_4, 0.0003584773512557149, 34023, 0, 65535, torch.int32); aten_squeeze_copy_dims_4 = None 2025-03-21T20:31:48.5046217Z 2025-03-21T20:31:48.5046891Z # 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 2025-03-21T20:31:48.5048581Z quantized_decomposed_dequantize_per_tensor_default_200: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_25, 0.0003584773512557149, 34023, 0, 65535, torch.int32) 2025-03-21T20:31:48.5049854Z 2025-03-21T20:31:48.5050527Z # 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 2025-03-21T20:31:48.5052511Z quantized_decomposed_dequantize_per_tensor_default_201: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_25, 0.0003584773512557149, 34023, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_25 = None 2025-03-21T20:31:48.5054016Z 2025-03-21T20:31:48.5054998Z # File: .50:435 in forward, code: quantize_per_tensor_default_175 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_1, 0.0002585018228273839, 30370, 0, 65535, torch.int32); _to_copy_1 = None 2025-03-21T20:31:48.5057261Z quantized_decomposed_quantize_per_tensor_default_26: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_194, 0.0002585018228273839, 30370, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_194 = None 2025-03-21T20:31:48.5058757Z 2025-03-21T20:31:48.5059486Z # 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) 2025-03-21T20:31:48.5061473Z quantized_decomposed_dequantize_per_tensor_default_202: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_26, 0.0002585018228273839, 30370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_26 = None 2025-03-21T20:31:48.5063798Z aten_view_copy_default_4: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_202, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_202 = None 2025-03-21T20:31:48.5065804Z quantized_decomposed_quantize_per_tensor_default_27: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_4, 0.0002585018228273839, 30370, 0, 65535, torch.int32); aten_view_copy_default_4 = None 2025-03-21T20:31:48.5068498Z quantized_decomposed_dequantize_per_tensor_default_203: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_27, 0.0002585018228273839, 30370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_27 = None 2025-03-21T20:31:48.5070518Z aten_slice_copy_tensor_2: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_203, 4, 0, 1) 2025-03-21T20:31:48.5072092Z aten_slice_copy_tensor_3: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_203, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_203 = None 2025-03-21T20:31:48.5073785Z 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 2025-03-21T20:31:48.5075066Z 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 2025-03-21T20:31:48.5076787Z quantized_decomposed_quantize_per_tensor_default_28: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_5, 0.0002567824558354914, 30134, 0, 65535, torch.int32); aten_squeeze_copy_dims_5 = None 2025-03-21T20:31:48.5078015Z 2025-03-21T20:31:48.5078693Z # 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 2025-03-21T20:31:48.5080435Z quantized_decomposed_dequantize_per_tensor_default_204: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_28, 0.0002567824558354914, 30134, 0, 65535, torch.int32) 2025-03-21T20:31:48.5081694Z 2025-03-21T20:31:48.5082378Z # 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 2025-03-21T20:31:48.5084316Z quantized_decomposed_dequantize_per_tensor_default_205: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_28, 0.0002567824558354914, 30134, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_28 = None 2025-03-21T20:31:48.5085818Z 2025-03-21T20:31:48.5086544Z # 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) 2025-03-21T20:31:48.5088270Z quantized_decomposed_quantize_per_tensor_default_29: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_6, 0.0002435054339002818, 32240, 0, 65535, torch.int32); aten_squeeze_copy_dims_6 = None 2025-03-21T20:31:48.5089533Z 2025-03-21T20:31:48.5090205Z # 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 2025-03-21T20:31:48.5091924Z quantized_decomposed_dequantize_per_tensor_default_206: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_29, 0.0002435054339002818, 32240, 0, 65535, torch.int32) 2025-03-21T20:31:48.5093180Z 2025-03-21T20:31:48.5093844Z # 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 2025-03-21T20:31:48.5095783Z quantized_decomposed_dequantize_per_tensor_default_207: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_29, 0.0002435054339002818, 32240, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_29 = None 2025-03-21T20:31:48.5097294Z 2025-03-21T20:31:48.5097929Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.5099403Z aten_view_copy_default_5: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_162, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_162 = None 2025-03-21T20:31:48.5101422Z quantized_decomposed_quantize_per_tensor_default_30: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_5, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_5 = None 2025-03-21T20:31:48.5102655Z 2025-03-21T20:31:48.5103340Z # 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 2025-03-21T20:31:48.5105033Z quantized_decomposed_dequantize_per_tensor_default_208: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_30, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.5106281Z 2025-03-21T20:31:48.5106950Z # 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 2025-03-21T20:31:48.5108677Z quantized_decomposed_dequantize_per_tensor_default_209: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_30, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.5109931Z 2025-03-21T20:31:48.5110606Z # 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 2025-03-21T20:31:48.5112302Z quantized_decomposed_dequantize_per_tensor_default_210: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_30, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.5113657Z 2025-03-21T20:31:48.5114338Z # 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 2025-03-21T20:31:48.5116285Z quantized_decomposed_dequantize_per_tensor_default_211: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_30, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_30 = None 2025-03-21T20:31:48.5117814Z 2025-03-21T20:31:48.5118437Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.5119935Z aten_view_copy_default_6: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_174, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_174 = None 2025-03-21T20:31:48.5121928Z quantized_decomposed_quantize_per_tensor_default_31: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_6, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_6 = None 2025-03-21T20:31:48.5123142Z 2025-03-21T20:31:48.5123824Z # 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 2025-03-21T20:31:48.5125521Z quantized_decomposed_dequantize_per_tensor_default_212: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_31, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.5126776Z 2025-03-21T20:31:48.5127442Z # 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 2025-03-21T20:31:48.5129126Z quantized_decomposed_dequantize_per_tensor_default_213: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_31, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.5130397Z 2025-03-21T20:31:48.5131075Z # 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 2025-03-21T20:31:48.5132764Z quantized_decomposed_dequantize_per_tensor_default_214: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_31, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.5134011Z 2025-03-21T20:31:48.5134691Z # 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 2025-03-21T20:31:48.5136645Z quantized_decomposed_dequantize_per_tensor_default_215: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_31, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_31 = None 2025-03-21T20:31:48.5138145Z 2025-03-21T20:31:48.5138818Z # 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 2025-03-21T20:31:48.5140736Z aten_mul_tensor_2: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_199, quantized_decomposed_dequantize_per_tensor_default_211); quantized_decomposed_dequantize_per_tensor_default_199 = quantized_decomposed_dequantize_per_tensor_default_211 = None 2025-03-21T20:31:48.5143088Z quantized_decomposed_quantize_per_tensor_default_32: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_2, 0.0003940780588891357, 27683, 0, 65535, torch.int32); aten_mul_tensor_2 = None 2025-03-21T20:31:48.5145458Z quantized_decomposed_dequantize_per_tensor_default_216: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_32, 0.0003940780588891357, 27683, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_32 = None 2025-03-21T20:31:48.5148202Z aten_mul_tensor_3: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_200, quantized_decomposed_dequantize_per_tensor_default_214); quantized_decomposed_dequantize_per_tensor_default_200 = quantized_decomposed_dequantize_per_tensor_default_214 = None 2025-03-21T20:31:48.5150556Z quantized_decomposed_quantize_per_tensor_default_33: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_3, 0.00031320139532908797, 30302, 0, 65535, torch.int32); aten_mul_tensor_3 = None 2025-03-21T20:31:48.5153025Z quantized_decomposed_dequantize_per_tensor_default_217: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_33, 0.00031320139532908797, 30302, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_33 = None 2025-03-21T20:31:48.5155712Z aten_sub_tensor: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_216, quantized_decomposed_dequantize_per_tensor_default_217); quantized_decomposed_dequantize_per_tensor_default_216 = quantized_decomposed_dequantize_per_tensor_default_217 = None 2025-03-21T20:31:48.5158032Z quantized_decomposed_quantize_per_tensor_default_34: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor, 0.000392118061427027, 27719, 0, 65535, torch.int32); aten_sub_tensor = None 2025-03-21T20:31:48.5159226Z 2025-03-21T20:31:48.5160415Z # File: .50:469 in forward, code: dequantize_per_tensor_default_183 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_183, 0.000392118061427027, 27719, 0, 65535, torch.int32); quantize_per_tensor_default_183 = None 2025-03-21T20:31:48.5162868Z quantized_decomposed_dequantize_per_tensor_default_218: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_34, 0.000392118061427027, 27719, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_34 = None 2025-03-21T20:31:48.5164387Z 2025-03-21T20:31:48.5165325Z # 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 2025-03-21T20:31:48.5167617Z aten_mul_tensor_4: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_198, quantized_decomposed_dequantize_per_tensor_default_215); quantized_decomposed_dequantize_per_tensor_default_198 = quantized_decomposed_dequantize_per_tensor_default_215 = None 2025-03-21T20:31:48.5170046Z quantized_decomposed_quantize_per_tensor_default_35: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_4, 0.00019886602240148932, 32650, 0, 65535, torch.int32); aten_mul_tensor_4 = None 2025-03-21T20:31:48.5172577Z quantized_decomposed_dequantize_per_tensor_default_219: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_35, 0.00019886602240148932, 32650, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_35 = None 2025-03-21T20:31:48.5177061Z aten_mul_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_201, quantized_decomposed_dequantize_per_tensor_default_210); quantized_decomposed_dequantize_per_tensor_default_201 = quantized_decomposed_dequantize_per_tensor_default_210 = None 2025-03-21T20:31:48.5181474Z quantized_decomposed_quantize_per_tensor_default_36: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_5, 0.000358294986654073, 34007, 0, 65535, torch.int32); aten_mul_tensor_5 = None 2025-03-21T20:31:48.5196397Z quantized_decomposed_dequantize_per_tensor_default_220: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_36, 0.000358294986654073, 34007, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_36 = None 2025-03-21T20:31:48.5201495Z aten_add_tensor: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_219, quantized_decomposed_dequantize_per_tensor_default_220); quantized_decomposed_dequantize_per_tensor_default_219 = quantized_decomposed_dequantize_per_tensor_default_220 = None 2025-03-21T20:31:48.5205181Z quantized_decomposed_quantize_per_tensor_default_37: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor, 0.0003606027748901397, 33984, 0, 65535, torch.int32); aten_add_tensor = None 2025-03-21T20:31:48.5206718Z 2025-03-21T20:31:48.5207900Z # File: .50:478 in forward, code: dequantize_per_tensor_default_186 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_186, 0.0003606027748901397, 33984, 0, 65535, torch.int32); quantize_per_tensor_default_186 = None 2025-03-21T20:31:48.5210456Z quantized_decomposed_dequantize_per_tensor_default_221: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_37, 0.0003606027748901397, 33984, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_37 = None 2025-03-21T20:31:48.5211975Z 2025-03-21T20:31:48.5212675Z # 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 2025-03-21T20:31:48.5214624Z aten_mul_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_205, quantized_decomposed_dequantize_per_tensor_default_209); quantized_decomposed_dequantize_per_tensor_default_205 = quantized_decomposed_dequantize_per_tensor_default_209 = None 2025-03-21T20:31:48.5217020Z quantized_decomposed_quantize_per_tensor_default_38: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_6, 0.0002772818843368441, 32772, 0, 65535, torch.int32); aten_mul_tensor_6 = None 2025-03-21T20:31:48.5219390Z quantized_decomposed_dequantize_per_tensor_default_222: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_38, 0.0002772818843368441, 32772, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_38 = None 2025-03-21T20:31:48.5222071Z aten_mul_tensor_7: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_206, quantized_decomposed_dequantize_per_tensor_default_212); quantized_decomposed_dequantize_per_tensor_default_206 = quantized_decomposed_dequantize_per_tensor_default_212 = None 2025-03-21T20:31:48.5224426Z quantized_decomposed_quantize_per_tensor_default_39: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_7, 0.00019303792214486748, 32722, 0, 65535, torch.int32); aten_mul_tensor_7 = None 2025-03-21T20:31:48.5226836Z quantized_decomposed_dequantize_per_tensor_default_223: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_39, 0.00019303792214486748, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_39 = None 2025-03-21T20:31:48.5229542Z aten_sub_tensor_1: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_222, quantized_decomposed_dequantize_per_tensor_default_223); quantized_decomposed_dequantize_per_tensor_default_222 = quantized_decomposed_dequantize_per_tensor_default_223 = None 2025-03-21T20:31:48.5231894Z quantized_decomposed_quantize_per_tensor_default_40: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_1, 0.00027735860203392804, 32706, 0, 65535, torch.int32); aten_sub_tensor_1 = None 2025-03-21T20:31:48.5233195Z 2025-03-21T20:31:48.5234400Z # File: .50:487 in forward, code: dequantize_per_tensor_default_189 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_189, 0.00027735860203392804, 32706, 0, 65535, torch.int32); quantize_per_tensor_default_189 = None 2025-03-21T20:31:48.5236861Z quantized_decomposed_dequantize_per_tensor_default_224: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_40, 0.00027735860203392804, 32706, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_40 = None 2025-03-21T20:31:48.5238381Z 2025-03-21T20:31:48.5239095Z # 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 2025-03-21T20:31:48.5241032Z aten_mul_tensor_8: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_204, quantized_decomposed_dequantize_per_tensor_default_213); quantized_decomposed_dequantize_per_tensor_default_204 = quantized_decomposed_dequantize_per_tensor_default_213 = None 2025-03-21T20:31:48.5243386Z quantized_decomposed_quantize_per_tensor_default_41: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_8, 0.0002768072590697557, 32698, 0, 65535, torch.int32); aten_mul_tensor_8 = None 2025-03-21T20:31:48.5245760Z quantized_decomposed_dequantize_per_tensor_default_225: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_41, 0.0002768072590697557, 32698, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_41 = None 2025-03-21T20:31:48.5248443Z aten_mul_tensor_9: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_207, quantized_decomposed_dequantize_per_tensor_default_208); quantized_decomposed_dequantize_per_tensor_default_207 = quantized_decomposed_dequantize_per_tensor_default_208 = None 2025-03-21T20:31:48.5250794Z quantized_decomposed_quantize_per_tensor_default_42: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_9, 0.0002400432713329792, 32705, 0, 65535, torch.int32); aten_mul_tensor_9 = None 2025-03-21T20:31:48.5253160Z quantized_decomposed_dequantize_per_tensor_default_226: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_42, 0.0002400432713329792, 32705, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_42 = None 2025-03-21T20:31:48.5255878Z aten_add_tensor_1: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_225, quantized_decomposed_dequantize_per_tensor_default_226); quantized_decomposed_dequantize_per_tensor_default_225 = quantized_decomposed_dequantize_per_tensor_default_226 = None 2025-03-21T20:31:48.5258233Z quantized_decomposed_quantize_per_tensor_default_43: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_1, 0.0002778804919216782, 32772, 0, 65535, torch.int32); aten_add_tensor_1 = None 2025-03-21T20:31:48.5259396Z 2025-03-21T20:31:48.5260579Z # File: .50:496 in forward, code: dequantize_per_tensor_default_192 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_192, 0.0002778804919216782, 32772, 0, 65535, torch.int32); quantize_per_tensor_default_192 = None 2025-03-21T20:31:48.5263045Z quantized_decomposed_dequantize_per_tensor_default_227: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_43, 0.0002778804919216782, 32772, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_43 = None 2025-03-21T20:31:48.5264552Z 2025-03-21T20:31:48.5265288Z # 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) 2025-03-21T20:31:48.5267152Z aten_unsqueeze_copy_default_3: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_218, 4); quantized_decomposed_dequantize_per_tensor_default_218 = None 2025-03-21T20:31:48.5269128Z aten_unsqueeze_copy_default_4: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_221, 4); quantized_decomposed_dequantize_per_tensor_default_221 = None 2025-03-21T20:31:48.5270982Z 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 2025-03-21T20:31:48.5272962Z quantized_decomposed_quantize_per_tensor_default_44: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default, 0.0004132623434998095, 29653, 0, 65535, torch.int32); aten_cat_default = None 2025-03-21T20:31:48.5275376Z quantized_decomposed_dequantize_per_tensor_default_228: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_44, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_44 = None 2025-03-21T20:31:48.5277644Z aten_view_copy_default_7: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_228, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_228 = None 2025-03-21T20:31:48.5279633Z quantized_decomposed_quantize_per_tensor_default_45: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_7, 0.0004132623434998095, 29653, 0, 65535, torch.int32); aten_view_copy_default_7 = None 2025-03-21T20:31:48.5280868Z 2025-03-21T20:31:48.5282063Z # File: .50:502 in forward, code: dequantize_per_tensor_default_194 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_194, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantize_per_tensor_default_194 = None 2025-03-21T20:31:48.5284563Z quantized_decomposed_dequantize_per_tensor_default_229: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_45, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_45 = None 2025-03-21T20:31:48.5286089Z 2025-03-21T20:31:48.5286831Z # 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) 2025-03-21T20:31:48.5288447Z aten_unsqueeze_copy_default_5: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_224, 4); quantized_decomposed_dequantize_per_tensor_default_224 = None 2025-03-21T20:31:48.5290364Z aten_unsqueeze_copy_default_6: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_227, 4); quantized_decomposed_dequantize_per_tensor_default_227 = None 2025-03-21T20:31:48.5292212Z 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 2025-03-21T20:31:48.5294128Z quantized_decomposed_quantize_per_tensor_default_46: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_cat_default_1 = None 2025-03-21T20:31:48.5296545Z quantized_decomposed_dequantize_per_tensor_default_230: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_46, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_46 = None 2025-03-21T20:31:48.5298816Z aten_view_copy_default_8: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_230, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_230 = None 2025-03-21T20:31:48.5300814Z quantized_decomposed_quantize_per_tensor_default_47: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_8, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_view_copy_default_8 = None 2025-03-21T20:31:48.5302070Z 2025-03-21T20:31:48.5303258Z # File: .50:508 in forward, code: dequantize_per_tensor_default_196 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_196, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_196 = None 2025-03-21T20:31:48.5305725Z quantized_decomposed_dequantize_per_tensor_default_231: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_47, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_47 = None 2025-03-21T20:31:48.5307735Z 2025-03-21T20:31:48.5308705Z # File: .50:510 in forward, code: quantize_per_tensor_default_197 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as, 0.0004132623434998095, 29653, 0, 65535, torch.int32); type_as = None 2025-03-21T20:31:48.5310954Z quantized_decomposed_quantize_per_tensor_default_48: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_229, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_229 = None 2025-03-21T20:31:48.5312481Z 2025-03-21T20:31:48.5313327Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.5315386Z quantized_decomposed_dequantize_per_tensor_default_232: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_48, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_48 = None 2025-03-21T20:31:48.5316915Z 2025-03-21T20:31:48.5317903Z # File: .50:513 in forward, code: quantize_per_tensor_default_198 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); type_as_1 = None 2025-03-21T20:31:48.5320156Z quantized_decomposed_quantize_per_tensor_default_49: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_231, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_231 = None 2025-03-21T20:31:48.5321666Z 2025-03-21T20:31:48.5322574Z # 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) 2025-03-21T20:31:48.5324786Z quantized_decomposed_dequantize_per_tensor_default_233: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_49, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_49 = None 2025-03-21T20:31:48.5326294Z 2025-03-21T20:31:48.5327024Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.5328638Z aten_permute_copy_default_6: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_232, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_232 = None 2025-03-21T20:31:48.5330704Z quantized_decomposed_quantize_per_tensor_default_50: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_6, 0.0004132623434998095, 29653, 0, 65535, torch.int32); aten_permute_copy_default_6 = None 2025-03-21T20:31:48.5331990Z 2025-03-21T20:31:48.5332788Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.5334854Z quantized_decomposed_dequantize_per_tensor_default_234: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_50, 0.0004132623434998095, 29653, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_50 = None 2025-03-21T20:31:48.5336361Z 2025-03-21T20:31:48.5337261Z # 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) 2025-03-21T20:31:48.5339589Z aten_index_put_default: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_113, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_233); quantized_decomposed_dequantize_per_tensor_default_113 = quantized_decomposed_dequantize_per_tensor_default_233 = None 2025-03-21T20:31:48.5342204Z quantized_decomposed_quantize_per_tensor_default_51: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_index_put_default = None 2025-03-21T20:31:48.5343432Z 2025-03-21T20:31:48.5344482Z # File: .50:520 in forward, code: dequantize_per_tensor_default_200 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_200, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5346533Z quantized_decomposed_dequantize_per_tensor_default_235: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5347792Z 2025-03-21T20:31:48.5348659Z # 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) 2025-03-21T20:31:48.5350548Z quantized_decomposed_dequantize_per_tensor_default_236: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5352761Z quantized_decomposed_dequantize_per_tensor_default_237: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5355085Z quantized_decomposed_dequantize_per_tensor_default_238: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5357301Z quantized_decomposed_dequantize_per_tensor_default_239: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5359498Z quantized_decomposed_dequantize_per_tensor_default_240: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5361722Z quantized_decomposed_dequantize_per_tensor_default_241: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5363930Z quantized_decomposed_dequantize_per_tensor_default_242: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5366141Z quantized_decomposed_dequantize_per_tensor_default_243: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5368618Z quantized_decomposed_dequantize_per_tensor_default_244: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5370827Z quantized_decomposed_dequantize_per_tensor_default_245: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5373131Z quantized_decomposed_dequantize_per_tensor_default_246: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32) 2025-03-21T20:31:48.5375603Z quantized_decomposed_dequantize_per_tensor_default_247: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_51, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_51 = None 2025-03-21T20:31:48.5377120Z 2025-03-21T20:31:48.5378026Z # 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) 2025-03-21T20:31:48.5380363Z aten_index_put_default_1: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_114, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_195); quantized_decomposed_dequantize_per_tensor_default_114 = quantized_decomposed_dequantize_per_tensor_default_195 = None 2025-03-21T20:31:48.5382979Z quantized_decomposed_quantize_per_tensor_default_52: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_1, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_index_put_default_1 = None 2025-03-21T20:31:48.5384258Z 2025-03-21T20:31:48.5385275Z # File: .50:535 in forward, code: dequantize_per_tensor_default_201 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_201, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5387337Z quantized_decomposed_dequantize_per_tensor_default_248: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5388604Z 2025-03-21T20:31:48.5389467Z # 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) 2025-03-21T20:31:48.5391387Z quantized_decomposed_dequantize_per_tensor_default_249: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5393688Z quantized_decomposed_dequantize_per_tensor_default_250: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5395888Z quantized_decomposed_dequantize_per_tensor_default_251: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5398097Z quantized_decomposed_dequantize_per_tensor_default_252: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5400327Z quantized_decomposed_dequantize_per_tensor_default_253: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5402577Z quantized_decomposed_dequantize_per_tensor_default_254: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5404797Z quantized_decomposed_dequantize_per_tensor_default_255: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5406989Z quantized_decomposed_dequantize_per_tensor_default_256: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5409192Z quantized_decomposed_dequantize_per_tensor_default_257: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5411388Z quantized_decomposed_dequantize_per_tensor_default_258: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5413613Z quantized_decomposed_dequantize_per_tensor_default_259: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32) 2025-03-21T20:31:48.5416077Z quantized_decomposed_dequantize_per_tensor_default_260: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_52, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_52 = None 2025-03-21T20:31:48.5417598Z 2025-03-21T20:31:48.5418455Z # 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) 2025-03-21T20:31:48.5420227Z aten_permute_copy_default_7: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_247, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_247 = None 2025-03-21T20:31:48.5422290Z quantized_decomposed_quantize_per_tensor_default_53: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_7, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_7 = None 2025-03-21T20:31:48.5424763Z quantized_decomposed_dequantize_per_tensor_default_261: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_53, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_53 = None 2025-03-21T20:31:48.5427007Z aten_select_copy_int: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_261, 0, 0); quantized_decomposed_dequantize_per_tensor_default_261 = None 2025-03-21T20:31:48.5428931Z quantized_decomposed_quantize_per_tensor_default_54: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int = None 2025-03-21T20:31:48.5431389Z quantized_decomposed_dequantize_per_tensor_default_262: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_54, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_54 = None 2025-03-21T20:31:48.5433722Z aten_select_copy_int_1: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_262, 0, 0); quantized_decomposed_dequantize_per_tensor_default_262 = None 2025-03-21T20:31:48.5435667Z quantized_decomposed_quantize_per_tensor_default_55: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_1, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_1 = None 2025-03-21T20:31:48.5436890Z 2025-03-21T20:31:48.5438086Z # File: .50:556 in forward, code: dequantize_per_tensor_default_204 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_204, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_204 = None 2025-03-21T20:31:48.5440562Z quantized_decomposed_dequantize_per_tensor_default_263: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_55, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_55 = None 2025-03-21T20:31:48.5442109Z 2025-03-21T20:31:48.5442980Z # 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) 2025-03-21T20:31:48.5444734Z aten_permute_copy_default_8: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_246, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_246 = None 2025-03-21T20:31:48.5446794Z quantized_decomposed_quantize_per_tensor_default_56: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_8, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_8 = None 2025-03-21T20:31:48.5449292Z quantized_decomposed_dequantize_per_tensor_default_264: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_56, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_56 = None 2025-03-21T20:31:48.5451542Z aten_select_copy_int_2: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_264, 0, 0); quantized_decomposed_dequantize_per_tensor_default_264 = None 2025-03-21T20:31:48.5453493Z quantized_decomposed_quantize_per_tensor_default_57: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_2, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_2 = None 2025-03-21T20:31:48.5455903Z quantized_decomposed_dequantize_per_tensor_default_265: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_57, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_57 = None 2025-03-21T20:31:48.5458174Z aten_select_copy_int_3: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_265, 0, 1); quantized_decomposed_dequantize_per_tensor_default_265 = None 2025-03-21T20:31:48.5460141Z quantized_decomposed_quantize_per_tensor_default_58: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_3, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_3 = None 2025-03-21T20:31:48.5461358Z 2025-03-21T20:31:48.5462540Z # File: .50:565 in forward, code: dequantize_per_tensor_default_207 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_207, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_207 = None 2025-03-21T20:31:48.5465005Z quantized_decomposed_dequantize_per_tensor_default_266: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_58, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_58 = None 2025-03-21T20:31:48.5466518Z 2025-03-21T20:31:48.5467629Z # 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) 2025-03-21T20:31:48.5469387Z aten_permute_copy_default_9: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_245, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_245 = None 2025-03-21T20:31:48.5471787Z quantized_decomposed_quantize_per_tensor_default_59: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_9, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_9 = None 2025-03-21T20:31:48.5474475Z quantized_decomposed_dequantize_per_tensor_default_267: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_59, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_59 = None 2025-03-21T20:31:48.5476829Z aten_select_copy_int_4: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_267, 0, 0); quantized_decomposed_dequantize_per_tensor_default_267 = None 2025-03-21T20:31:48.5478934Z quantized_decomposed_quantize_per_tensor_default_60: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_4, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_4 = None 2025-03-21T20:31:48.5481437Z quantized_decomposed_dequantize_per_tensor_default_268: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_60, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_60 = None 2025-03-21T20:31:48.5483831Z aten_select_copy_int_5: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_268, 0, 2); quantized_decomposed_dequantize_per_tensor_default_268 = None 2025-03-21T20:31:48.5485869Z quantized_decomposed_quantize_per_tensor_default_61: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_5, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_5 = None 2025-03-21T20:31:48.5487193Z 2025-03-21T20:31:48.5488532Z # File: .50:574 in forward, code: dequantize_per_tensor_default_210 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_210, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_210 = None 2025-03-21T20:31:48.5491134Z quantized_decomposed_dequantize_per_tensor_default_269: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_61, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_61 = None 2025-03-21T20:31:48.5492774Z 2025-03-21T20:31:48.5493757Z # 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) 2025-03-21T20:31:48.5495596Z aten_permute_copy_default_10: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_244, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_244 = None 2025-03-21T20:31:48.5497800Z quantized_decomposed_quantize_per_tensor_default_62: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_10, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_10 = None 2025-03-21T20:31:48.5500375Z quantized_decomposed_dequantize_per_tensor_default_270: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_62, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_62 = None 2025-03-21T20:31:48.5502757Z aten_select_copy_int_6: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_270, 0, 0); quantized_decomposed_dequantize_per_tensor_default_270 = None 2025-03-21T20:31:48.5504855Z quantized_decomposed_quantize_per_tensor_default_63: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_6, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_6 = None 2025-03-21T20:31:48.5507382Z quantized_decomposed_dequantize_per_tensor_default_271: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_63, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_63 = None 2025-03-21T20:31:48.5509746Z aten_select_copy_int_7: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_271, 0, 3); quantized_decomposed_dequantize_per_tensor_default_271 = None 2025-03-21T20:31:48.5511813Z quantized_decomposed_quantize_per_tensor_default_64: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_7, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_7 = None 2025-03-21T20:31:48.5513245Z 2025-03-21T20:31:48.5514510Z # File: .50:583 in forward, code: dequantize_per_tensor_default_213 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_213, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_213 = None 2025-03-21T20:31:48.5517102Z quantized_decomposed_dequantize_per_tensor_default_272: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_64, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_64 = None 2025-03-21T20:31:48.5518739Z 2025-03-21T20:31:48.5519728Z # 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) 2025-03-21T20:31:48.5521629Z aten_permute_copy_default_11: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_243, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_243 = None 2025-03-21T20:31:48.5523780Z quantized_decomposed_quantize_per_tensor_default_65: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_11, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_11 = None 2025-03-21T20:31:48.5526398Z quantized_decomposed_dequantize_per_tensor_default_273: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_65, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_65 = None 2025-03-21T20:31:48.5528734Z aten_select_copy_int_8: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_273, 0, 0); quantized_decomposed_dequantize_per_tensor_default_273 = None 2025-03-21T20:31:48.5530786Z quantized_decomposed_quantize_per_tensor_default_66: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_8, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_8 = None 2025-03-21T20:31:48.5533348Z quantized_decomposed_dequantize_per_tensor_default_274: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_66, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_66 = None 2025-03-21T20:31:48.5535683Z aten_select_copy_int_9: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_274, 0, 4); quantized_decomposed_dequantize_per_tensor_default_274 = None 2025-03-21T20:31:48.5537743Z quantized_decomposed_quantize_per_tensor_default_67: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_9, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_9 = None 2025-03-21T20:31:48.5539077Z 2025-03-21T20:31:48.5540349Z # File: .50:592 in forward, code: dequantize_per_tensor_default_216 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_216, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_216 = None 2025-03-21T20:31:48.5542978Z quantized_decomposed_dequantize_per_tensor_default_275: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_67, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_67 = None 2025-03-21T20:31:48.5544579Z 2025-03-21T20:31:48.5545555Z # 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) 2025-03-21T20:31:48.5547419Z aten_permute_copy_default_12: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_242, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_242 = None 2025-03-21T20:31:48.5549615Z quantized_decomposed_quantize_per_tensor_default_68: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_12, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_12 = None 2025-03-21T20:31:48.5552246Z quantized_decomposed_dequantize_per_tensor_default_276: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_68, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_68 = None 2025-03-21T20:31:48.5554736Z aten_select_copy_int_10: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_276, 0, 0); quantized_decomposed_dequantize_per_tensor_default_276 = None 2025-03-21T20:31:48.5556777Z quantized_decomposed_quantize_per_tensor_default_69: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_10, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_10 = None 2025-03-21T20:31:48.5559351Z quantized_decomposed_dequantize_per_tensor_default_277: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_69, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_69 = None 2025-03-21T20:31:48.5561695Z aten_select_copy_int_11: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_277, 0, 5); quantized_decomposed_dequantize_per_tensor_default_277 = None 2025-03-21T20:31:48.5563815Z quantized_decomposed_quantize_per_tensor_default_70: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_11, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_11 = None 2025-03-21T20:31:48.5565150Z 2025-03-21T20:31:48.5566392Z # File: .50:601 in forward, code: dequantize_per_tensor_default_219 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_219, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_219 = None 2025-03-21T20:31:48.5569222Z quantized_decomposed_dequantize_per_tensor_default_278: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_70, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_70 = None 2025-03-21T20:31:48.5570928Z 2025-03-21T20:31:48.5571896Z # 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) 2025-03-21T20:31:48.5573784Z aten_permute_copy_default_13: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_241, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_241 = None 2025-03-21T20:31:48.5575968Z quantized_decomposed_quantize_per_tensor_default_71: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_13, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_13 = None 2025-03-21T20:31:48.5578522Z quantized_decomposed_dequantize_per_tensor_default_279: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_71, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_71 = None 2025-03-21T20:31:48.5580972Z aten_select_copy_int_12: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_279, 0, 0); quantized_decomposed_dequantize_per_tensor_default_279 = None 2025-03-21T20:31:48.5583099Z quantized_decomposed_quantize_per_tensor_default_72: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_12, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_12 = None 2025-03-21T20:31:48.5585659Z quantized_decomposed_dequantize_per_tensor_default_280: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_72, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_72 = None 2025-03-21T20:31:48.5588025Z aten_select_copy_int_13: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_280, 0, 6); quantized_decomposed_dequantize_per_tensor_default_280 = None 2025-03-21T20:31:48.5590086Z quantized_decomposed_quantize_per_tensor_default_73: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_13, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_13 = None 2025-03-21T20:31:48.5591436Z 2025-03-21T20:31:48.5592760Z # File: .50:610 in forward, code: dequantize_per_tensor_default_222 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_222, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_222 = None 2025-03-21T20:31:48.5595403Z quantized_decomposed_dequantize_per_tensor_default_281: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_73, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_73 = None 2025-03-21T20:31:48.5597069Z 2025-03-21T20:31:48.5598037Z # 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) 2025-03-21T20:31:48.5599882Z aten_permute_copy_default_14: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_240, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_240 = None 2025-03-21T20:31:48.5602106Z quantized_decomposed_quantize_per_tensor_default_74: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_14, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_14 = None 2025-03-21T20:31:48.5604704Z quantized_decomposed_dequantize_per_tensor_default_282: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_74, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_74 = None 2025-03-21T20:31:48.5607072Z aten_select_copy_int_14: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_282, 0, 0); quantized_decomposed_dequantize_per_tensor_default_282 = None 2025-03-21T20:31:48.5609117Z quantized_decomposed_quantize_per_tensor_default_75: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_14, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_14 = None 2025-03-21T20:31:48.5611681Z quantized_decomposed_dequantize_per_tensor_default_283: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_75, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_75 = None 2025-03-21T20:31:48.5614065Z aten_select_copy_int_15: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_283, 0, 7); quantized_decomposed_dequantize_per_tensor_default_283 = None 2025-03-21T20:31:48.5616113Z quantized_decomposed_quantize_per_tensor_default_76: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_15, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_15 = None 2025-03-21T20:31:48.5617362Z 2025-03-21T20:31:48.5618700Z # File: .50:619 in forward, code: dequantize_per_tensor_default_225 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_225, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_225 = None 2025-03-21T20:31:48.5621266Z quantized_decomposed_dequantize_per_tensor_default_284: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_76, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_76 = None 2025-03-21T20:31:48.5622874Z 2025-03-21T20:31:48.5623909Z # 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) 2025-03-21T20:31:48.5625754Z aten_permute_copy_default_15: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_239, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_239 = None 2025-03-21T20:31:48.5627966Z quantized_decomposed_quantize_per_tensor_default_77: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_15, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_15 = None 2025-03-21T20:31:48.5630557Z quantized_decomposed_dequantize_per_tensor_default_285: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_77, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_77 = None 2025-03-21T20:31:48.5632974Z aten_select_copy_int_16: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_285, 0, 0); quantized_decomposed_dequantize_per_tensor_default_285 = None 2025-03-21T20:31:48.5635091Z quantized_decomposed_quantize_per_tensor_default_78: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_16, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_16 = None 2025-03-21T20:31:48.5637605Z quantized_decomposed_dequantize_per_tensor_default_286: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_78, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_78 = None 2025-03-21T20:31:48.5639965Z aten_select_copy_int_17: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_286, 0, 8); quantized_decomposed_dequantize_per_tensor_default_286 = None 2025-03-21T20:31:48.5642056Z quantized_decomposed_quantize_per_tensor_default_79: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_17, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_17 = None 2025-03-21T20:31:48.5643411Z 2025-03-21T20:31:48.5644743Z # File: .50:628 in forward, code: dequantize_per_tensor_default_228 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_228, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_228 = None 2025-03-21T20:31:48.5647301Z quantized_decomposed_dequantize_per_tensor_default_287: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_79, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_79 = None 2025-03-21T20:31:48.5648898Z 2025-03-21T20:31:48.5649907Z # 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) 2025-03-21T20:31:48.5651717Z aten_permute_copy_default_16: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_238, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_238 = None 2025-03-21T20:31:48.5653895Z quantized_decomposed_quantize_per_tensor_default_80: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_16, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_16 = None 2025-03-21T20:31:48.5656513Z quantized_decomposed_dequantize_per_tensor_default_288: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_80, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_80 = None 2025-03-21T20:31:48.5658865Z aten_select_copy_int_18: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_288, 0, 0); quantized_decomposed_dequantize_per_tensor_default_288 = None 2025-03-21T20:31:48.5660970Z quantized_decomposed_quantize_per_tensor_default_81: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_18, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_18 = None 2025-03-21T20:31:48.5663501Z quantized_decomposed_dequantize_per_tensor_default_289: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_81, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_81 = None 2025-03-21T20:31:48.5665864Z aten_select_copy_int_19: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_289, 0, 9); quantized_decomposed_dequantize_per_tensor_default_289 = None 2025-03-21T20:31:48.5668191Z quantized_decomposed_quantize_per_tensor_default_82: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_19, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_19 = None 2025-03-21T20:31:48.5669525Z 2025-03-21T20:31:48.5670797Z # File: .50:637 in forward, code: dequantize_per_tensor_default_231 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_231, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_231 = None 2025-03-21T20:31:48.5673642Z quantized_decomposed_dequantize_per_tensor_default_290: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_82, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_82 = None 2025-03-21T20:31:48.5675271Z 2025-03-21T20:31:48.5676264Z # 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) 2025-03-21T20:31:48.5678127Z aten_permute_copy_default_17: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_237, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_237 = None 2025-03-21T20:31:48.5680298Z quantized_decomposed_quantize_per_tensor_default_83: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_17, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_17 = None 2025-03-21T20:31:48.5683017Z quantized_decomposed_dequantize_per_tensor_default_291: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_83, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_83 = None 2025-03-21T20:31:48.5685421Z aten_select_copy_int_20: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_291, 0, 0); quantized_decomposed_dequantize_per_tensor_default_291 = None 2025-03-21T20:31:48.5687468Z quantized_decomposed_quantize_per_tensor_default_84: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_20, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_20 = None 2025-03-21T20:31:48.5690032Z quantized_decomposed_dequantize_per_tensor_default_292: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_84, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_84 = None 2025-03-21T20:31:48.5692414Z aten_select_copy_int_21: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_292, 0, 10); quantized_decomposed_dequantize_per_tensor_default_292 = None 2025-03-21T20:31:48.5694487Z quantized_decomposed_quantize_per_tensor_default_85: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_21, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_21 = None 2025-03-21T20:31:48.5695823Z 2025-03-21T20:31:48.5697126Z # File: .50:646 in forward, code: dequantize_per_tensor_default_234 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_234, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_234 = None 2025-03-21T20:31:48.5699718Z quantized_decomposed_dequantize_per_tensor_default_293: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_85, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_85 = None 2025-03-21T20:31:48.5701330Z 2025-03-21T20:31:48.5702277Z # 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) 2025-03-21T20:31:48.5704176Z aten_permute_copy_default_18: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_236, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_236 = None 2025-03-21T20:31:48.5706382Z quantized_decomposed_quantize_per_tensor_default_86: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_18, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_18 = None 2025-03-21T20:31:48.5708941Z quantized_decomposed_dequantize_per_tensor_default_294: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_86, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_86 = None 2025-03-21T20:31:48.5711344Z aten_select_copy_int_22: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_294, 0, 0); quantized_decomposed_dequantize_per_tensor_default_294 = None 2025-03-21T20:31:48.5713506Z quantized_decomposed_quantize_per_tensor_default_87: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_22, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_22 = None 2025-03-21T20:31:48.5716089Z quantized_decomposed_dequantize_per_tensor_default_295: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_87, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_87 = None 2025-03-21T20:31:48.5718465Z aten_select_copy_int_23: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_295, 0, 11); quantized_decomposed_dequantize_per_tensor_default_295 = None 2025-03-21T20:31:48.5720522Z quantized_decomposed_quantize_per_tensor_default_88: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_23, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_select_copy_int_23 = None 2025-03-21T20:31:48.5721925Z 2025-03-21T20:31:48.5723219Z # File: .50:655 in forward, code: dequantize_per_tensor_default_237 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_237, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_237 = None 2025-03-21T20:31:48.5725770Z quantized_decomposed_dequantize_per_tensor_default_296: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_88, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_88 = None 2025-03-21T20:31:48.5727466Z 2025-03-21T20:31:48.5728429Z # 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) 2025-03-21T20:31:48.5735711Z aten_cat_default_2: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_263, quantized_decomposed_dequantize_per_tensor_default_266, quantized_decomposed_dequantize_per_tensor_default_269, quantized_decomposed_dequantize_per_tensor_default_272, quantized_decomposed_dequantize_per_tensor_default_275, quantized_decomposed_dequantize_per_tensor_default_278, quantized_decomposed_dequantize_per_tensor_default_281, quantized_decomposed_dequantize_per_tensor_default_284, quantized_decomposed_dequantize_per_tensor_default_287, quantized_decomposed_dequantize_per_tensor_default_290, quantized_decomposed_dequantize_per_tensor_default_293, quantized_decomposed_dequantize_per_tensor_default_296]); quantized_decomposed_dequantize_per_tensor_default_263 = quantized_decomposed_dequantize_per_tensor_default_266 = quantized_decomposed_dequantize_per_tensor_default_269 = quantized_decomposed_dequantize_per_tensor_default_272 = quantized_decomposed_dequantize_per_tensor_default_275 = quantized_decomposed_dequantize_per_tensor_default_278 = quantized_decomposed_dequantize_per_tensor_default_281 = quantized_decomposed_dequantize_per_tensor_default_284 = quantized_decomposed_dequantize_per_tensor_default_287 = quantized_decomposed_dequantize_per_tensor_default_290 = quantized_decomposed_dequantize_per_tensor_default_293 = quantized_decomposed_dequantize_per_tensor_default_296 = None 2025-03-21T20:31:48.5743493Z quantized_decomposed_quantize_per_tensor_default_89: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_2, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_cat_default_2 = None 2025-03-21T20:31:48.5746013Z quantized_decomposed_dequantize_per_tensor_default_297: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_89, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_89 = None 2025-03-21T20:31:48.5748435Z aten_view_copy_default_9: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_297, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_297 = None 2025-03-21T20:31:48.5750540Z quantized_decomposed_quantize_per_tensor_default_90: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_9, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_view_copy_default_9 = None 2025-03-21T20:31:48.5751916Z 2025-03-21T20:31:48.5752918Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.5755137Z quantized_decomposed_dequantize_per_tensor_default_298: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_90, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_90 = None 2025-03-21T20:31:48.5756797Z 2025-03-21T20:31:48.5757762Z # 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) 2025-03-21T20:31:48.5759633Z aten_permute_copy_default_19: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_260, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_260 = None 2025-03-21T20:31:48.5761826Z quantized_decomposed_quantize_per_tensor_default_91: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_19, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_19 = None 2025-03-21T20:31:48.5764393Z quantized_decomposed_dequantize_per_tensor_default_299: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_91, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_91 = None 2025-03-21T20:31:48.5767062Z aten_select_copy_int_24: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_299, 0, 0); quantized_decomposed_dequantize_per_tensor_default_299 = None 2025-03-21T20:31:48.5769145Z quantized_decomposed_quantize_per_tensor_default_92: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_24, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_24 = None 2025-03-21T20:31:48.5771748Z quantized_decomposed_dequantize_per_tensor_default_300: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_92, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_92 = None 2025-03-21T20:31:48.5774135Z aten_select_copy_int_25: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_300, 0, 0); quantized_decomposed_dequantize_per_tensor_default_300 = None 2025-03-21T20:31:48.5776172Z quantized_decomposed_quantize_per_tensor_default_93: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_25, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_25 = None 2025-03-21T20:31:48.5777505Z 2025-03-21T20:31:48.5778849Z # File: .50:670 in forward, code: dequantize_per_tensor_default_242 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_242, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_242 = None 2025-03-21T20:31:48.5781406Z quantized_decomposed_dequantize_per_tensor_default_301: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_93, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_93 = None 2025-03-21T20:31:48.5783052Z 2025-03-21T20:31:48.5784019Z # 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) 2025-03-21T20:31:48.5785891Z aten_permute_copy_default_20: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_259, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_259 = None 2025-03-21T20:31:48.5788124Z quantized_decomposed_quantize_per_tensor_default_94: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_20, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_20 = None 2025-03-21T20:31:48.5790704Z quantized_decomposed_dequantize_per_tensor_default_302: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_94, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_94 = None 2025-03-21T20:31:48.5793101Z aten_select_copy_int_26: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_302, 0, 0); quantized_decomposed_dequantize_per_tensor_default_302 = None 2025-03-21T20:31:48.5795040Z quantized_decomposed_quantize_per_tensor_default_95: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_26, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_26 = None 2025-03-21T20:31:48.5797532Z quantized_decomposed_dequantize_per_tensor_default_303: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_95, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_95 = None 2025-03-21T20:31:48.5799771Z aten_select_copy_int_27: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_303, 0, 1); quantized_decomposed_dequantize_per_tensor_default_303 = None 2025-03-21T20:31:48.5801730Z quantized_decomposed_quantize_per_tensor_default_96: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_27, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_27 = None 2025-03-21T20:31:48.5802958Z 2025-03-21T20:31:48.5804155Z # File: .50:679 in forward, code: dequantize_per_tensor_default_245 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_245, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_245 = None 2025-03-21T20:31:48.5806633Z quantized_decomposed_dequantize_per_tensor_default_304: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_96, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_96 = None 2025-03-21T20:31:48.5808151Z 2025-03-21T20:31:48.5809042Z # 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) 2025-03-21T20:31:48.5810793Z aten_permute_copy_default_21: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_258, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_258 = None 2025-03-21T20:31:48.5812871Z quantized_decomposed_quantize_per_tensor_default_97: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_21, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_21 = None 2025-03-21T20:31:48.5815375Z quantized_decomposed_dequantize_per_tensor_default_305: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_97, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_97 = None 2025-03-21T20:31:48.5817619Z aten_select_copy_int_28: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_305, 0, 0); quantized_decomposed_dequantize_per_tensor_default_305 = None 2025-03-21T20:31:48.5819589Z quantized_decomposed_quantize_per_tensor_default_98: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_28, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_28 = None 2025-03-21T20:31:48.5822010Z quantized_decomposed_dequantize_per_tensor_default_306: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_98, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_98 = None 2025-03-21T20:31:48.5824252Z aten_select_copy_int_29: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_306, 0, 2); quantized_decomposed_dequantize_per_tensor_default_306 = None 2025-03-21T20:31:48.5826245Z quantized_decomposed_quantize_per_tensor_default_99: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_29, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_29 = None 2025-03-21T20:31:48.5827462Z 2025-03-21T20:31:48.5828640Z # File: .50:688 in forward, code: dequantize_per_tensor_default_248 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_248, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_248 = None 2025-03-21T20:31:48.5831106Z quantized_decomposed_dequantize_per_tensor_default_307: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_99, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_99 = None 2025-03-21T20:31:48.5832623Z 2025-03-21T20:31:48.5833569Z # 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) 2025-03-21T20:31:48.5835315Z aten_permute_copy_default_22: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_257, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_257 = None 2025-03-21T20:31:48.5837430Z quantized_decomposed_quantize_per_tensor_default_100: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_22, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_22 = None 2025-03-21T20:31:48.5839915Z quantized_decomposed_dequantize_per_tensor_default_308: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_100, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_100 = None 2025-03-21T20:31:48.5842160Z aten_select_copy_int_30: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_308, 0, 0); quantized_decomposed_dequantize_per_tensor_default_308 = None 2025-03-21T20:31:48.5844134Z quantized_decomposed_quantize_per_tensor_default_101: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_30, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_30 = None 2025-03-21T20:31:48.5846554Z quantized_decomposed_dequantize_per_tensor_default_309: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_101, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_101 = None 2025-03-21T20:31:48.5848790Z aten_select_copy_int_31: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_309, 0, 3); quantized_decomposed_dequantize_per_tensor_default_309 = None 2025-03-21T20:31:48.5850760Z quantized_decomposed_quantize_per_tensor_default_102: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_31, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_31 = None 2025-03-21T20:31:48.5851987Z 2025-03-21T20:31:48.5853173Z # File: .50:697 in forward, code: dequantize_per_tensor_default_251 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_251, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_251 = None 2025-03-21T20:31:48.5855729Z quantized_decomposed_dequantize_per_tensor_default_310: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_102, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_102 = None 2025-03-21T20:31:48.5857248Z 2025-03-21T20:31:48.5858107Z # 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) 2025-03-21T20:31:48.5859849Z aten_permute_copy_default_23: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_256, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_256 = None 2025-03-21T20:31:48.5861919Z quantized_decomposed_quantize_per_tensor_default_103: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_23, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_23 = None 2025-03-21T20:31:48.5864405Z quantized_decomposed_dequantize_per_tensor_default_311: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_103, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_103 = None 2025-03-21T20:31:48.5866989Z aten_select_copy_int_32: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_311, 0, 0); quantized_decomposed_dequantize_per_tensor_default_311 = None 2025-03-21T20:31:48.5868953Z quantized_decomposed_quantize_per_tensor_default_104: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_32, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_32 = None 2025-03-21T20:31:48.5871384Z quantized_decomposed_dequantize_per_tensor_default_312: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_104, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_104 = None 2025-03-21T20:31:48.5873749Z aten_select_copy_int_33: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_312, 0, 4); quantized_decomposed_dequantize_per_tensor_default_312 = None 2025-03-21T20:31:48.5875714Z quantized_decomposed_quantize_per_tensor_default_105: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_33, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_33 = None 2025-03-21T20:31:48.5876935Z 2025-03-21T20:31:48.5878129Z # File: .50:706 in forward, code: dequantize_per_tensor_default_254 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_254, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_254 = None 2025-03-21T20:31:48.5880601Z quantized_decomposed_dequantize_per_tensor_default_313: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_105, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_105 = None 2025-03-21T20:31:48.5882162Z 2025-03-21T20:31:48.5883030Z # 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) 2025-03-21T20:31:48.5884799Z aten_permute_copy_default_24: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_255, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_255 = None 2025-03-21T20:31:48.5886889Z quantized_decomposed_quantize_per_tensor_default_106: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_24, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_24 = None 2025-03-21T20:31:48.5889392Z quantized_decomposed_dequantize_per_tensor_default_314: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_106, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_106 = None 2025-03-21T20:31:48.5891644Z aten_select_copy_int_34: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_314, 0, 0); quantized_decomposed_dequantize_per_tensor_default_314 = None 2025-03-21T20:31:48.5893603Z quantized_decomposed_quantize_per_tensor_default_107: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_34, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_34 = None 2025-03-21T20:31:48.5896060Z quantized_decomposed_dequantize_per_tensor_default_315: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_107, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_107 = None 2025-03-21T20:31:48.5898311Z aten_select_copy_int_35: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_315, 0, 5); quantized_decomposed_dequantize_per_tensor_default_315 = None 2025-03-21T20:31:48.5900274Z quantized_decomposed_quantize_per_tensor_default_108: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_35, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_35 = None 2025-03-21T20:31:48.5901514Z 2025-03-21T20:31:48.5902688Z # File: .50:715 in forward, code: dequantize_per_tensor_default_257 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_257, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_257 = None 2025-03-21T20:31:48.5905157Z quantized_decomposed_dequantize_per_tensor_default_316: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_108, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_108 = None 2025-03-21T20:31:48.5906670Z 2025-03-21T20:31:48.5907535Z # 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) 2025-03-21T20:31:48.5909289Z aten_permute_copy_default_25: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_254, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_254 = None 2025-03-21T20:31:48.5911360Z quantized_decomposed_quantize_per_tensor_default_109: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_25, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_25 = None 2025-03-21T20:31:48.5913996Z quantized_decomposed_dequantize_per_tensor_default_317: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_109, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_109 = None 2025-03-21T20:31:48.5916259Z aten_select_copy_int_36: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_317, 0, 0); quantized_decomposed_dequantize_per_tensor_default_317 = None 2025-03-21T20:31:48.5918221Z quantized_decomposed_quantize_per_tensor_default_110: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_36, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_36 = None 2025-03-21T20:31:48.5920650Z quantized_decomposed_dequantize_per_tensor_default_318: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_110, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_110 = None 2025-03-21T20:31:48.5922901Z aten_select_copy_int_37: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_318, 0, 6); quantized_decomposed_dequantize_per_tensor_default_318 = None 2025-03-21T20:31:48.5924877Z quantized_decomposed_quantize_per_tensor_default_111: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_37, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_37 = None 2025-03-21T20:31:48.5926109Z 2025-03-21T20:31:48.5927289Z # File: .50:724 in forward, code: dequantize_per_tensor_default_260 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_260, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_260 = None 2025-03-21T20:31:48.5929756Z quantized_decomposed_dequantize_per_tensor_default_319: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_111, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_111 = None 2025-03-21T20:31:48.5931291Z 2025-03-21T20:31:48.5932153Z # 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) 2025-03-21T20:31:48.5933894Z aten_permute_copy_default_26: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_253, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_253 = None 2025-03-21T20:31:48.5935985Z quantized_decomposed_quantize_per_tensor_default_112: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_26, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_26 = None 2025-03-21T20:31:48.5938490Z quantized_decomposed_dequantize_per_tensor_default_320: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_112, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_112 = None 2025-03-21T20:31:48.5940768Z aten_select_copy_int_38: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_320, 0, 0); quantized_decomposed_dequantize_per_tensor_default_320 = None 2025-03-21T20:31:48.5942750Z quantized_decomposed_quantize_per_tensor_default_113: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_38, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_38 = None 2025-03-21T20:31:48.5945187Z quantized_decomposed_dequantize_per_tensor_default_321: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_113, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_113 = None 2025-03-21T20:31:48.5947425Z aten_select_copy_int_39: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_321, 0, 7); quantized_decomposed_dequantize_per_tensor_default_321 = None 2025-03-21T20:31:48.5949374Z quantized_decomposed_quantize_per_tensor_default_114: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_39, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_39 = None 2025-03-21T20:31:48.5950598Z 2025-03-21T20:31:48.5951790Z # File: .50:733 in forward, code: dequantize_per_tensor_default_263 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_263, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_263 = None 2025-03-21T20:31:48.5954361Z quantized_decomposed_dequantize_per_tensor_default_322: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_114, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_114 = None 2025-03-21T20:31:48.5955890Z 2025-03-21T20:31:48.5956750Z # 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) 2025-03-21T20:31:48.5958505Z aten_permute_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_252, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_252 = None 2025-03-21T20:31:48.5960615Z quantized_decomposed_quantize_per_tensor_default_115: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_27, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_27 = None 2025-03-21T20:31:48.5963103Z quantized_decomposed_dequantize_per_tensor_default_323: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_115, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_115 = None 2025-03-21T20:31:48.5965354Z aten_select_copy_int_40: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_323, 0, 0); quantized_decomposed_dequantize_per_tensor_default_323 = None 2025-03-21T20:31:48.5967544Z quantized_decomposed_quantize_per_tensor_default_116: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_40, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_40 = None 2025-03-21T20:31:48.5970029Z quantized_decomposed_dequantize_per_tensor_default_324: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_116, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_116 = None 2025-03-21T20:31:48.5972318Z aten_select_copy_int_41: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_324, 0, 8); quantized_decomposed_dequantize_per_tensor_default_324 = None 2025-03-21T20:31:48.5974276Z quantized_decomposed_quantize_per_tensor_default_117: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_41, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_41 = None 2025-03-21T20:31:48.5975500Z 2025-03-21T20:31:48.5976677Z # File: .50:742 in forward, code: dequantize_per_tensor_default_266 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_266, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_266 = None 2025-03-21T20:31:48.5979151Z quantized_decomposed_dequantize_per_tensor_default_325: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_117, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_117 = None 2025-03-21T20:31:48.5980671Z 2025-03-21T20:31:48.5981563Z # 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) 2025-03-21T20:31:48.5983316Z aten_permute_copy_default_28: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_251, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_251 = None 2025-03-21T20:31:48.5985413Z quantized_decomposed_quantize_per_tensor_default_118: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_28, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_28 = None 2025-03-21T20:31:48.5987895Z quantized_decomposed_dequantize_per_tensor_default_326: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_118, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_118 = None 2025-03-21T20:31:48.5990183Z aten_select_copy_int_42: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_326, 0, 0); quantized_decomposed_dequantize_per_tensor_default_326 = None 2025-03-21T20:31:48.5992142Z quantized_decomposed_quantize_per_tensor_default_119: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_42, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_42 = None 2025-03-21T20:31:48.5994637Z quantized_decomposed_dequantize_per_tensor_default_327: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_119, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_119 = None 2025-03-21T20:31:48.5996895Z aten_select_copy_int_43: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_327, 0, 9); quantized_decomposed_dequantize_per_tensor_default_327 = None 2025-03-21T20:31:48.5998877Z quantized_decomposed_quantize_per_tensor_default_120: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_43, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_43 = None 2025-03-21T20:31:48.6000117Z 2025-03-21T20:31:48.6001296Z # File: .50:751 in forward, code: dequantize_per_tensor_default_269 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_269, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_269 = None 2025-03-21T20:31:48.6003763Z quantized_decomposed_dequantize_per_tensor_default_328: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_120, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_120 = None 2025-03-21T20:31:48.6005269Z 2025-03-21T20:31:48.6006120Z # 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) 2025-03-21T20:31:48.6007863Z aten_permute_copy_default_29: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_250, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_250 = None 2025-03-21T20:31:48.6009964Z quantized_decomposed_quantize_per_tensor_default_121: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_29, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_29 = None 2025-03-21T20:31:48.6012443Z quantized_decomposed_dequantize_per_tensor_default_329: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_121, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_121 = None 2025-03-21T20:31:48.6014710Z aten_select_copy_int_44: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_329, 0, 0); quantized_decomposed_dequantize_per_tensor_default_329 = None 2025-03-21T20:31:48.6016696Z quantized_decomposed_quantize_per_tensor_default_122: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_44, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_44 = None 2025-03-21T20:31:48.6019134Z quantized_decomposed_dequantize_per_tensor_default_330: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_122, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_122 = None 2025-03-21T20:31:48.6021377Z aten_select_copy_int_45: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_330, 0, 10); quantized_decomposed_dequantize_per_tensor_default_330 = None 2025-03-21T20:31:48.6023322Z quantized_decomposed_quantize_per_tensor_default_123: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_45, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_45 = None 2025-03-21T20:31:48.6024536Z 2025-03-21T20:31:48.6025726Z # File: .50:760 in forward, code: dequantize_per_tensor_default_272 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_272, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_272 = None 2025-03-21T20:31:48.6028245Z quantized_decomposed_dequantize_per_tensor_default_331: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_123, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_123 = None 2025-03-21T20:31:48.6029766Z 2025-03-21T20:31:48.6030630Z # 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) 2025-03-21T20:31:48.6032371Z aten_permute_copy_default_30: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_249, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_249 = None 2025-03-21T20:31:48.6034515Z quantized_decomposed_quantize_per_tensor_default_124: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_30, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_permute_copy_default_30 = None 2025-03-21T20:31:48.6037011Z quantized_decomposed_dequantize_per_tensor_default_332: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_124, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_124 = None 2025-03-21T20:31:48.6039293Z aten_select_copy_int_46: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_332, 0, 0); quantized_decomposed_dequantize_per_tensor_default_332 = None 2025-03-21T20:31:48.6041263Z quantized_decomposed_quantize_per_tensor_default_125: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_46, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_46 = None 2025-03-21T20:31:48.6043701Z quantized_decomposed_dequantize_per_tensor_default_333: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_125, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_125 = None 2025-03-21T20:31:48.6045993Z aten_select_copy_int_47: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_333, 0, 11); quantized_decomposed_dequantize_per_tensor_default_333 = None 2025-03-21T20:31:48.6047944Z quantized_decomposed_quantize_per_tensor_default_126: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_47, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_select_copy_int_47 = None 2025-03-21T20:31:48.6049166Z 2025-03-21T20:31:48.6050347Z # File: .50:769 in forward, code: dequantize_per_tensor_default_275 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_275, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_275 = None 2025-03-21T20:31:48.6052827Z quantized_decomposed_dequantize_per_tensor_default_334: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_126, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_126 = None 2025-03-21T20:31:48.6054349Z 2025-03-21T20:31:48.6055253Z # 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) 2025-03-21T20:31:48.6062351Z aten_cat_default_3: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_301, quantized_decomposed_dequantize_per_tensor_default_304, quantized_decomposed_dequantize_per_tensor_default_307, quantized_decomposed_dequantize_per_tensor_default_310, quantized_decomposed_dequantize_per_tensor_default_313, quantized_decomposed_dequantize_per_tensor_default_316, quantized_decomposed_dequantize_per_tensor_default_319, quantized_decomposed_dequantize_per_tensor_default_322, quantized_decomposed_dequantize_per_tensor_default_325, quantized_decomposed_dequantize_per_tensor_default_328, quantized_decomposed_dequantize_per_tensor_default_331, quantized_decomposed_dequantize_per_tensor_default_334]); quantized_decomposed_dequantize_per_tensor_default_301 = quantized_decomposed_dequantize_per_tensor_default_304 = quantized_decomposed_dequantize_per_tensor_default_307 = quantized_decomposed_dequantize_per_tensor_default_310 = quantized_decomposed_dequantize_per_tensor_default_313 = quantized_decomposed_dequantize_per_tensor_default_316 = quantized_decomposed_dequantize_per_tensor_default_319 = quantized_decomposed_dequantize_per_tensor_default_322 = quantized_decomposed_dequantize_per_tensor_default_325 = quantized_decomposed_dequantize_per_tensor_default_328 = quantized_decomposed_dequantize_per_tensor_default_331 = quantized_decomposed_dequantize_per_tensor_default_334 = None 2025-03-21T20:31:48.6070161Z quantized_decomposed_quantize_per_tensor_default_127: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_3, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_cat_default_3 = None 2025-03-21T20:31:48.6072578Z quantized_decomposed_dequantize_per_tensor_default_335: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_127, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_127 = None 2025-03-21T20:31:48.6074989Z aten_view_copy_default_10: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_335, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_335 = None 2025-03-21T20:31:48.6077070Z quantized_decomposed_quantize_per_tensor_default_128: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_10, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); aten_view_copy_default_10 = None 2025-03-21T20:31:48.6078325Z 2025-03-21T20:31:48.6079508Z # File: .50:775 in forward, code: dequantize_per_tensor_default_277 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_277, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantize_per_tensor_default_277 = None 2025-03-21T20:31:48.6081966Z quantized_decomposed_dequantize_per_tensor_default_336: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_128, 2.5713339709909633e-05, 32398, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_128 = None 2025-03-21T20:31:48.6083485Z 2025-03-21T20:31:48.6084668Z # File: .50:776 in forward, code: quantize_per_tensor_default_278 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_277, 2.6003737730206922e-05, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_277 = None 2025-03-21T20:31:48.6087185Z quantized_decomposed_quantize_per_tensor_default_129: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_336, 2.6003737730206922e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_336 = None 2025-03-21T20:31:48.6088702Z 2025-03-21T20:31:48.6089420Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.6091371Z quantized_decomposed_dequantize_per_tensor_default_337: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_129, 2.6003737730206922e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_129 = None 2025-03-21T20:31:48.6092888Z 2025-03-21T20:31:48.6093595Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:48.6095171Z aten_index_tensor_2: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_115, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_115 = None 2025-03-21T20:31:48.6097177Z quantized_decomposed_quantize_per_tensor_default_130: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_2, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_2 = None 2025-03-21T20:31:48.6098363Z 2025-03-21T20:31:48.6099054Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.6101068Z quantized_decomposed_dequantize_per_tensor_default_338: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_130, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_130 = None 2025-03-21T20:31:48.6102585Z 2025-03-21T20:31:48.6103381Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.6105061Z aten_permute_copy_default_31: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_298, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_298 = None 2025-03-21T20:31:48.6107174Z quantized_decomposed_quantize_per_tensor_default_131: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_31, 0.0002779011847451329, 32770, 0, 65535, torch.int32); aten_permute_copy_default_31 = None 2025-03-21T20:31:48.6108469Z 2025-03-21T20:31:48.6109650Z # File: .50:783 in forward, code: dequantize_per_tensor_default_280 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_280, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantize_per_tensor_default_280 = None 2025-03-21T20:31:48.6112129Z quantized_decomposed_dequantize_per_tensor_default_339: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_131, 0.0002779011847451329, 32770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_131 = None 2025-03-21T20:31:48.6113724Z 2025-03-21T20:31:48.6114914Z # File: .50:784 in forward, code: quantize_per_tensor_default_281 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_280, 0.00027792342007160187, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_280 = None 2025-03-21T20:31:48.6117458Z quantized_decomposed_quantize_per_tensor_default_132: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_339, 0.00027792342007160187, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_339 = None 2025-03-21T20:31:48.6118983Z 2025-03-21T20:31:48.6119775Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.6121882Z quantized_decomposed_dequantize_per_tensor_default_340: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_132, 0.00027792342007160187, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_132 = None 2025-03-21T20:31:48.6124207Z aten_expand_copy_default: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_234, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_234 = None 2025-03-21T20:31:48.6125824Z 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 2025-03-21T20:31:48.6127465Z aten_expand_copy_default_1: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_340, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_340 = None 2025-03-21T20:31:48.6129159Z 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 2025-03-21T20:31:48.6130649Z 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 2025-03-21T20:31:48.6132076Z 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 2025-03-21T20:31:48.6133835Z quantized_decomposed_quantize_per_tensor_default_133: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_13, 0.006018729880452156, 34998, 0, 65535, torch.int32); aten_view_copy_default_13 = None 2025-03-21T20:31:48.6136297Z quantized_decomposed_dequantize_per_tensor_default_341: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_133, 0.006018729880452156, 34998, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_133 = None 2025-03-21T20:31:48.6138715Z quantized_decomposed_dequantize_per_tensor_default_342: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param149, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param149 = None 2025-03-21T20:31:48.6141099Z aten_mul_tensor_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_341, quantized_decomposed_dequantize_per_tensor_default_342); quantized_decomposed_dequantize_per_tensor_default_341 = quantized_decomposed_dequantize_per_tensor_default_342 = None 2025-03-21T20:31:48.6143486Z quantized_decomposed_quantize_per_tensor_default_134: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_10, 0.0007523412350565195, 34998, 0, 65535, torch.int32); aten_mul_tensor_10 = None 2025-03-21T20:31:48.6144749Z 2025-03-21T20:31:48.6145437Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.6147444Z quantized_decomposed_dequantize_per_tensor_default_343: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_134, 0.0007523412350565195, 34998, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_134 = None 2025-03-21T20:31:48.6150169Z aten_add_tensor_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_343, quantized_decomposed_dequantize_per_tensor_default_338); quantized_decomposed_dequantize_per_tensor_default_343 = quantized_decomposed_dequantize_per_tensor_default_338 = None 2025-03-21T20:31:48.6152529Z quantized_decomposed_quantize_per_tensor_default_135: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_2, 0.00445493683218956, 61746, 0, 65535, torch.int32); aten_add_tensor_2 = None 2025-03-21T20:31:48.6153834Z 2025-03-21T20:31:48.6154631Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:48.6156762Z quantized_decomposed_dequantize_per_tensor_default_344: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_135, 0.00445493683218956, 61746, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_135 = None 2025-03-21T20:31:48.6159064Z aten__softmax_default: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_344, -1, False); quantized_decomposed_dequantize_per_tensor_default_344 = None 2025-03-21T20:31:48.6161061Z quantized_decomposed_quantize_per_tensor_default_136: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default = None 2025-03-21T20:31:48.6162310Z 2025-03-21T20:31:48.6162976Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.6164911Z quantized_decomposed_dequantize_per_tensor_default_345: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_136, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_136 = None 2025-03-21T20:31:48.6167434Z aten_expand_copy_default_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_345, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_345 = None 2025-03-21T20:31:48.6169083Z 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 2025-03-21T20:31:48.6170743Z aten_expand_copy_default_3: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_337, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_337 = None 2025-03-21T20:31:48.6172385Z 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 2025-03-21T20:31:48.6173953Z 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 2025-03-21T20:31:48.6175402Z 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 2025-03-21T20:31:48.6177130Z quantized_decomposed_quantize_per_tensor_default_137: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_16, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_view_copy_default_16 = None 2025-03-21T20:31:48.6178379Z 2025-03-21T20:31:48.6179240Z # 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) 2025-03-21T20:31:48.6181384Z quantized_decomposed_dequantize_per_tensor_default_346: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_137, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_137 = None 2025-03-21T20:31:48.6183704Z aten_permute_copy_default_32: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_346, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_346 = None 2025-03-21T20:31:48.6185805Z quantized_decomposed_quantize_per_tensor_default_138: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_32, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_permute_copy_default_32 = None 2025-03-21T20:31:48.6188283Z quantized_decomposed_dequantize_per_tensor_default_347: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_138, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_138 = None 2025-03-21T20:31:48.6190565Z aten_view_copy_default_17: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_347, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_347 = None 2025-03-21T20:31:48.6192608Z quantized_decomposed_quantize_per_tensor_default_139: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_17, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_view_copy_default_17 = None 2025-03-21T20:31:48.6193927Z 2025-03-21T20:31:48.6194662Z # 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) 2025-03-21T20:31:48.6196684Z quantized_decomposed_dequantize_per_tensor_default_348: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_139, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_139 = None 2025-03-21T20:31:48.6199010Z aten_unsqueeze_copy_default_7: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_348, -1); quantized_decomposed_dequantize_per_tensor_default_348 = None 2025-03-21T20:31:48.6245255Z quantized_decomposed_quantize_per_tensor_default_140: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_7, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_unsqueeze_copy_default_7 = None 2025-03-21T20:31:48.6246723Z 2025-03-21T20:31:48.6247374Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.6249244Z quantized_decomposed_dequantize_per_tensor_default_349: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_140, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_140 = None 2025-03-21T20:31:48.6251573Z aten_permute_copy_default_33: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_349, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_349 = None 2025-03-21T20:31:48.6253646Z quantized_decomposed_quantize_per_tensor_default_141: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_33, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); aten_permute_copy_default_33 = None 2025-03-21T20:31:48.6254927Z 2025-03-21T20:31:48.6255486Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.6257362Z quantized_decomposed_dequantize_per_tensor_default_350: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_141, 2.0544466678984463e-05, 35449, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_141 = None 2025-03-21T20:31:48.6260226Z aten_convolution_default_3: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_350, quantized_decomposed_dequantize_per_tensor_default_5, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_350 = quantized_decomposed_dequantize_per_tensor_default_5 = None 2025-03-21T20:31:48.6262840Z quantized_decomposed_quantize_per_tensor_default_142: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_3, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); aten_convolution_default_3 = None 2025-03-21T20:31:48.6264156Z 2025-03-21T20:31:48.6264778Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.6266935Z quantized_decomposed_dequantize_per_tensor_default_351: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_142, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_142 = None 2025-03-21T20:31:48.6269252Z aten_permute_copy_default_34: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_351, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_351 = None 2025-03-21T20:31:48.6271313Z quantized_decomposed_quantize_per_tensor_default_143: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_34, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); aten_permute_copy_default_34 = None 2025-03-21T20:31:48.6272580Z 2025-03-21T20:31:48.6273423Z # 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]) 2025-03-21T20:31:48.6275561Z quantized_decomposed_dequantize_per_tensor_default_352: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_143, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_143 = None 2025-03-21T20:31:48.6277820Z aten_squeeze_copy_dims_7: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_352, [-1]); quantized_decomposed_dequantize_per_tensor_default_352 = None 2025-03-21T20:31:48.6279805Z quantized_decomposed_quantize_per_tensor_default_144: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_7, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); aten_squeeze_copy_dims_7 = None 2025-03-21T20:31:48.6281045Z 2025-03-21T20:31:48.6281610Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.6283466Z quantized_decomposed_dequantize_per_tensor_default_353: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_144, 2.3234304535435513e-05, 31262, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_144 = None 2025-03-21T20:31:48.6286157Z aten_add_tensor_3: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_149, quantized_decomposed_dequantize_per_tensor_default_353); quantized_decomposed_dequantize_per_tensor_default_149 = quantized_decomposed_dequantize_per_tensor_default_353 = None 2025-03-21T20:31:48.6288536Z quantized_decomposed_quantize_per_tensor_default_145: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_3, 2.3993761715246364e-05, 31139, 0, 65535, torch.int32); aten_add_tensor_3 = None 2025-03-21T20:31:48.6289720Z 2025-03-21T20:31:48.6290434Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.6292173Z quantized_decomposed_dequantize_per_tensor_default_354: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_145, 2.3993761715246364e-05, 31139, 0, 65535, torch.int32) 2025-03-21T20:31:48.6294662Z quantized_decomposed_dequantize_per_tensor_default_355: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_145, 2.3993761715246364e-05, 31139, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_145 = None 2025-03-21T20:31:48.6296645Z aten_pow_tensor_scalar_1: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_355, 2) 2025-03-21T20:31:48.6297862Z 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 2025-03-21T20:31:48.6298971Z 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 2025-03-21T20:31:48.6300053Z 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 2025-03-21T20:31:48.6301609Z aten_mul_tensor_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_355, aten_rsqrt_default_1); quantized_decomposed_dequantize_per_tensor_default_355 = aten_rsqrt_default_1 = None 2025-03-21T20:31:48.6303623Z aten_mul_tensor_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_11, quantized_decomposed_dequantize_per_tensor_default_6); aten_mul_tensor_11 = quantized_decomposed_dequantize_per_tensor_default_6 = None 2025-03-21T20:31:48.6305643Z quantized_decomposed_quantize_per_tensor_default_146: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_12, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_mul_tensor_12 = None 2025-03-21T20:31:48.6306825Z 2025-03-21T20:31:48.6307550Z # 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) 2025-03-21T20:31:48.6309301Z quantized_decomposed_dequantize_per_tensor_default_356: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_146, 6.304631824605167e-05, 32297, 0, 65535, torch.int32) 2025-03-21T20:31:48.6311766Z quantized_decomposed_dequantize_per_tensor_default_357: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_146, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_146 = None 2025-03-21T20:31:48.6314158Z aten_unsqueeze_copy_default_8: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_357, -1); quantized_decomposed_dequantize_per_tensor_default_357 = None 2025-03-21T20:31:48.6316273Z quantized_decomposed_quantize_per_tensor_default_147: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_8, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_unsqueeze_copy_default_8 = None 2025-03-21T20:31:48.6317548Z 2025-03-21T20:31:48.6318155Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.6320023Z quantized_decomposed_dequantize_per_tensor_default_358: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_147, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_147 = None 2025-03-21T20:31:48.6322362Z aten_permute_copy_default_35: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_358, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_358 = None 2025-03-21T20:31:48.6324431Z quantized_decomposed_quantize_per_tensor_default_148: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_35, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_permute_copy_default_35 = None 2025-03-21T20:31:48.6325701Z 2025-03-21T20:31:48.6326262Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.6328107Z quantized_decomposed_dequantize_per_tensor_default_359: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_148, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_148 = None 2025-03-21T20:31:48.6330970Z aten_convolution_default_4: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_359, quantized_decomposed_dequantize_per_tensor_default_7, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_359 = quantized_decomposed_dequantize_per_tensor_default_7 = None 2025-03-21T20:31:48.6333667Z quantized_decomposed_quantize_per_tensor_default_149: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_4, 0.00015858362894505262, 37454, 0, 65535, torch.int32); aten_convolution_default_4 = None 2025-03-21T20:31:48.6334958Z 2025-03-21T20:31:48.6335581Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.6337504Z quantized_decomposed_dequantize_per_tensor_default_360: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_149, 0.00015858362894505262, 37454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_149 = None 2025-03-21T20:31:48.6339832Z aten_permute_copy_default_36: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_360, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_360 = None 2025-03-21T20:31:48.6341929Z quantized_decomposed_quantize_per_tensor_default_150: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_36, 0.00015858362894505262, 37454, 0, 65535, torch.int32); aten_permute_copy_default_36 = None 2025-03-21T20:31:48.6343220Z 2025-03-21T20:31:48.6343988Z # 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]) 2025-03-21T20:31:48.6346038Z quantized_decomposed_dequantize_per_tensor_default_361: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_150, 0.00015858362894505262, 37454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_150 = None 2025-03-21T20:31:48.6348331Z aten_squeeze_copy_dims_8: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_361, [-1]); quantized_decomposed_dequantize_per_tensor_default_361 = None 2025-03-21T20:31:48.6350355Z quantized_decomposed_quantize_per_tensor_default_151: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_8, 0.00015858362894505262, 37454, 0, 65535, torch.int32); aten_squeeze_copy_dims_8 = None 2025-03-21T20:31:48.6351603Z 2025-03-21T20:31:48.6352328Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.6354167Z quantized_decomposed_dequantize_per_tensor_default_362: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_151, 0.00015858362894505262, 37454, 0, 65535, torch.int32) 2025-03-21T20:31:48.6356630Z quantized_decomposed_dequantize_per_tensor_default_363: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_151, 0.00015858362894505262, 37454, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_151 = None 2025-03-21T20:31:48.6358902Z aten_sigmoid_default: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_363); quantized_decomposed_dequantize_per_tensor_default_363 = None 2025-03-21T20:31:48.6360858Z quantized_decomposed_quantize_per_tensor_default_152: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default = None 2025-03-21T20:31:48.6363257Z quantized_decomposed_dequantize_per_tensor_default_364: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_152, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_152 = None 2025-03-21T20:31:48.6365901Z aten_mul_tensor_13: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_362, quantized_decomposed_dequantize_per_tensor_default_364); quantized_decomposed_dequantize_per_tensor_default_362 = quantized_decomposed_dequantize_per_tensor_default_364 = None 2025-03-21T20:31:48.6368506Z quantized_decomposed_quantize_per_tensor_default_153: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_13, 7.141960668377578e-05, 3899, 0, 65535, torch.int32); aten_mul_tensor_13 = None 2025-03-21T20:31:48.6370899Z quantized_decomposed_dequantize_per_tensor_default_365: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_153, 7.141960668377578e-05, 3899, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_153 = None 2025-03-21T20:31:48.6372423Z 2025-03-21T20:31:48.6373227Z # 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) 2025-03-21T20:31:48.6374852Z aten_unsqueeze_copy_default_9: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_356, -1); quantized_decomposed_dequantize_per_tensor_default_356 = None 2025-03-21T20:31:48.6376954Z quantized_decomposed_quantize_per_tensor_default_154: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_9, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_unsqueeze_copy_default_9 = None 2025-03-21T20:31:48.6378232Z 2025-03-21T20:31:48.6378883Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.6380762Z quantized_decomposed_dequantize_per_tensor_default_366: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_154, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_154 = None 2025-03-21T20:31:48.6383074Z aten_permute_copy_default_37: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_366, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_366 = None 2025-03-21T20:31:48.6385136Z quantized_decomposed_quantize_per_tensor_default_155: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_37, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); aten_permute_copy_default_37 = None 2025-03-21T20:31:48.6386418Z 2025-03-21T20:31:48.6386985Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.6388825Z quantized_decomposed_dequantize_per_tensor_default_367: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_155, 6.304631824605167e-05, 32297, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_155 = None 2025-03-21T20:31:48.6391767Z aten_convolution_default_5: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_367, quantized_decomposed_dequantize_per_tensor_default_8, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_367 = quantized_decomposed_dequantize_per_tensor_default_8 = None 2025-03-21T20:31:48.6394480Z quantized_decomposed_quantize_per_tensor_default_156: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_5, 0.00017520938126835972, 26511, 0, 65535, torch.int32); aten_convolution_default_5 = None 2025-03-21T20:31:48.6395775Z 2025-03-21T20:31:48.6396408Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.6398335Z quantized_decomposed_dequantize_per_tensor_default_368: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_156, 0.00017520938126835972, 26511, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_156 = None 2025-03-21T20:31:48.6400675Z aten_permute_copy_default_38: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_368, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_368 = None 2025-03-21T20:31:48.6402804Z quantized_decomposed_quantize_per_tensor_default_157: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_38, 0.00017520938126835972, 26511, 0, 65535, torch.int32); aten_permute_copy_default_38 = None 2025-03-21T20:31:48.6404084Z 2025-03-21T20:31:48.6404846Z # 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]) 2025-03-21T20:31:48.6406900Z quantized_decomposed_dequantize_per_tensor_default_369: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_157, 0.00017520938126835972, 26511, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_157 = None 2025-03-21T20:31:48.6409257Z aten_squeeze_copy_dims_9: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_369, [-1]); quantized_decomposed_dequantize_per_tensor_default_369 = None 2025-03-21T20:31:48.6411260Z quantized_decomposed_quantize_per_tensor_default_158: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_9, 0.00017520938126835972, 26511, 0, 65535, torch.int32); aten_squeeze_copy_dims_9 = None 2025-03-21T20:31:48.6412525Z 2025-03-21T20:31:48.6413263Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.6415289Z quantized_decomposed_dequantize_per_tensor_default_370: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_158, 0.00017520938126835972, 26511, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_158 = None 2025-03-21T20:31:48.6418017Z aten_mul_tensor_14: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_365, quantized_decomposed_dequantize_per_tensor_default_370); quantized_decomposed_dequantize_per_tensor_default_365 = quantized_decomposed_dequantize_per_tensor_default_370 = None 2025-03-21T20:31:48.6420463Z quantized_decomposed_quantize_per_tensor_default_159: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_14, 0.00046910217497497797, 34492, 0, 65535, torch.int32); aten_mul_tensor_14 = None 2025-03-21T20:31:48.6421677Z 2025-03-21T20:31:48.6422411Z # 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) 2025-03-21T20:31:48.6424417Z quantized_decomposed_dequantize_per_tensor_default_371: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_159, 0.00046910217497497797, 34492, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_159 = None 2025-03-21T20:31:48.6426769Z aten_unsqueeze_copy_default_10: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_371, -1); quantized_decomposed_dequantize_per_tensor_default_371 = None 2025-03-21T20:31:48.6428880Z quantized_decomposed_quantize_per_tensor_default_160: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_10, 0.00046910217497497797, 34492, 0, 65535, torch.int32); aten_unsqueeze_copy_default_10 = None 2025-03-21T20:31:48.6430190Z 2025-03-21T20:31:48.6430795Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.6432718Z quantized_decomposed_dequantize_per_tensor_default_372: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_160, 0.00046910217497497797, 34492, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_160 = None 2025-03-21T20:31:48.6435150Z aten_permute_copy_default_39: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_372, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_372 = None 2025-03-21T20:31:48.6437241Z quantized_decomposed_quantize_per_tensor_default_161: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_39, 0.00046910217497497797, 34492, 0, 65535, torch.int32); aten_permute_copy_default_39 = None 2025-03-21T20:31:48.6438570Z 2025-03-21T20:31:48.6439129Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.6440988Z quantized_decomposed_dequantize_per_tensor_default_373: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_161, 0.00046910217497497797, 34492, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_161 = None 2025-03-21T20:31:48.6443877Z aten_convolution_default_6: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_373, quantized_decomposed_dequantize_per_tensor_default_9, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_373 = quantized_decomposed_dequantize_per_tensor_default_9 = None 2025-03-21T20:31:48.6446467Z quantized_decomposed_quantize_per_tensor_default_162: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_6, 0.00015648982662241906, 29373, 0, 65535, torch.int32); aten_convolution_default_6 = None 2025-03-21T20:31:48.6447764Z 2025-03-21T20:31:48.6448386Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.6450310Z quantized_decomposed_dequantize_per_tensor_default_374: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_162, 0.00015648982662241906, 29373, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_162 = None 2025-03-21T20:31:48.6452628Z aten_permute_copy_default_40: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_374, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_374 = None 2025-03-21T20:31:48.6454709Z quantized_decomposed_quantize_per_tensor_default_163: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_40, 0.00015648982662241906, 29373, 0, 65535, torch.int32); aten_permute_copy_default_40 = None 2025-03-21T20:31:48.6455996Z 2025-03-21T20:31:48.6456751Z # 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]) 2025-03-21T20:31:48.6458793Z quantized_decomposed_dequantize_per_tensor_default_375: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_163, 0.00015648982662241906, 29373, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_163 = None 2025-03-21T20:31:48.6461090Z aten_squeeze_copy_dims_10: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_375, [-1]); quantized_decomposed_dequantize_per_tensor_default_375 = None 2025-03-21T20:31:48.6463101Z quantized_decomposed_quantize_per_tensor_default_164: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_10, 0.00015648982662241906, 29373, 0, 65535, torch.int32); aten_squeeze_copy_dims_10 = None 2025-03-21T20:31:48.6464348Z 2025-03-21T20:31:48.6465070Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.6467354Z quantized_decomposed_dequantize_per_tensor_default_376: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_164, 0.00015648982662241906, 29373, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_164 = None 2025-03-21T20:31:48.6470067Z aten_add_tensor_4: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_354, quantized_decomposed_dequantize_per_tensor_default_376); quantized_decomposed_dequantize_per_tensor_default_354 = quantized_decomposed_dequantize_per_tensor_default_376 = None 2025-03-21T20:31:48.6472423Z quantized_decomposed_quantize_per_tensor_default_165: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_4, 0.0001625629374757409, 28917, 0, 65535, torch.int32); aten_add_tensor_4 = None 2025-03-21T20:31:48.6473712Z 2025-03-21T20:31:48.6474275Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.6475872Z quantized_decomposed_dequantize_per_tensor_default_377: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_165, 0.0001625629374757409, 28917, 0, 65535, torch.int32) 2025-03-21T20:31:48.6477227Z 2025-03-21T20:31:48.6478019Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:48.6480128Z quantized_decomposed_dequantize_per_tensor_default_378: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_165, 0.0001625629374757409, 28917, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_165 = None 2025-03-21T20:31:48.6482140Z aten_pow_tensor_scalar_2: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_378, 2) 2025-03-21T20:31:48.6483353Z 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 2025-03-21T20:31:48.6484485Z 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 2025-03-21T20:31:48.6485581Z 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 2025-03-21T20:31:48.6487145Z aten_mul_tensor_15: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_378, aten_rsqrt_default_2); quantized_decomposed_dequantize_per_tensor_default_378 = aten_rsqrt_default_2 = None 2025-03-21T20:31:48.6489177Z aten_mul_tensor_16: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_15, quantized_decomposed_dequantize_per_tensor_default_10); aten_mul_tensor_15 = quantized_decomposed_dequantize_per_tensor_default_10 = None 2025-03-21T20:31:48.6491183Z quantized_decomposed_quantize_per_tensor_default_166: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_16, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_mul_tensor_16 = None 2025-03-21T20:31:48.6492369Z 2025-03-21T20:31:48.6493104Z # 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) 2025-03-21T20:31:48.6494896Z quantized_decomposed_dequantize_per_tensor_default_379: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_166, 0.0002292444696649909, 31927, 0, 65535, torch.int32) 2025-03-21T20:31:48.6497097Z quantized_decomposed_dequantize_per_tensor_default_380: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_166, 0.0002292444696649909, 31927, 0, 65535, torch.int32) 2025-03-21T20:31:48.6499569Z quantized_decomposed_dequantize_per_tensor_default_381: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_166, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_166 = None 2025-03-21T20:31:48.6501907Z aten_unsqueeze_copy_default_11: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_381, -1); quantized_decomposed_dequantize_per_tensor_default_381 = None 2025-03-21T20:31:48.6504013Z quantized_decomposed_quantize_per_tensor_default_167: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_11, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_unsqueeze_copy_default_11 = None 2025-03-21T20:31:48.6505347Z 2025-03-21T20:31:48.6505955Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.6507862Z quantized_decomposed_dequantize_per_tensor_default_382: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_167, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_167 = None 2025-03-21T20:31:48.6510173Z aten_permute_copy_default_41: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_382, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_382 = None 2025-03-21T20:31:48.6512244Z quantized_decomposed_quantize_per_tensor_default_168: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_41, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_permute_copy_default_41 = None 2025-03-21T20:31:48.6513607Z 2025-03-21T20:31:48.6514153Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.6515984Z quantized_decomposed_dequantize_per_tensor_default_383: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_168, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_168 = None 2025-03-21T20:31:48.6518865Z aten_convolution_default_7: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_383, quantized_decomposed_dequantize_per_tensor_default_11, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_383 = quantized_decomposed_dequantize_per_tensor_default_11 = None 2025-03-21T20:31:48.6521475Z quantized_decomposed_quantize_per_tensor_default_169: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_7, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_convolution_default_7 = None 2025-03-21T20:31:48.6522775Z 2025-03-21T20:31:48.6523402Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.6525309Z quantized_decomposed_dequantize_per_tensor_default_384: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_169, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_169 = None 2025-03-21T20:31:48.6527630Z aten_permute_copy_default_42: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_384, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_384 = None 2025-03-21T20:31:48.6529719Z quantized_decomposed_quantize_per_tensor_default_170: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_42, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_permute_copy_default_42 = None 2025-03-21T20:31:48.6531000Z 2025-03-21T20:31:48.6531753Z # 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]) 2025-03-21T20:31:48.6533823Z quantized_decomposed_dequantize_per_tensor_default_385: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_170, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_170 = None 2025-03-21T20:31:48.6536113Z aten_squeeze_copy_dims_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_385, [-1]); quantized_decomposed_dequantize_per_tensor_default_385 = None 2025-03-21T20:31:48.6538109Z quantized_decomposed_quantize_per_tensor_default_171: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_11, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_squeeze_copy_dims_11 = None 2025-03-21T20:31:48.6539365Z 2025-03-21T20:31:48.6540088Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.6542090Z quantized_decomposed_dequantize_per_tensor_default_386: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_171, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_171 = None 2025-03-21T20:31:48.6543613Z 2025-03-21T20:31:48.6544352Z # 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) 2025-03-21T20:31:48.6546006Z aten_unsqueeze_copy_default_12: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_380, -1); quantized_decomposed_dequantize_per_tensor_default_380 = None 2025-03-21T20:31:48.6548115Z quantized_decomposed_quantize_per_tensor_default_172: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_12, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_unsqueeze_copy_default_12 = None 2025-03-21T20:31:48.6549413Z 2025-03-21T20:31:48.6550025Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.6551922Z quantized_decomposed_dequantize_per_tensor_default_387: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_172, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_172 = None 2025-03-21T20:31:48.6554372Z aten_permute_copy_default_43: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_387, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_387 = None 2025-03-21T20:31:48.6556449Z quantized_decomposed_quantize_per_tensor_default_173: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_43, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_permute_copy_default_43 = None 2025-03-21T20:31:48.6557720Z 2025-03-21T20:31:48.6558293Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.6560156Z quantized_decomposed_dequantize_per_tensor_default_388: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_173, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_173 = None 2025-03-21T20:31:48.6563070Z aten_convolution_default_8: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_388, quantized_decomposed_dequantize_per_tensor_default_12, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_388 = quantized_decomposed_dequantize_per_tensor_default_12 = None 2025-03-21T20:31:48.6565685Z quantized_decomposed_quantize_per_tensor_default_174: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_8, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_convolution_default_8 = None 2025-03-21T20:31:48.6568637Z 2025-03-21T20:31:48.6569273Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.6571187Z quantized_decomposed_dequantize_per_tensor_default_389: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_174, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_174 = None 2025-03-21T20:31:48.6573512Z aten_permute_copy_default_44: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_389, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_389 = None 2025-03-21T20:31:48.6575665Z quantized_decomposed_quantize_per_tensor_default_175: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_44, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_permute_copy_default_44 = None 2025-03-21T20:31:48.6576961Z 2025-03-21T20:31:48.6577717Z # 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]) 2025-03-21T20:31:48.6579761Z quantized_decomposed_dequantize_per_tensor_default_390: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_175, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_175 = None 2025-03-21T20:31:48.6582046Z aten_squeeze_copy_dims_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_390, [-1]); quantized_decomposed_dequantize_per_tensor_default_390 = None 2025-03-21T20:31:48.6584094Z quantized_decomposed_quantize_per_tensor_default_176: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_12, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_squeeze_copy_dims_12 = None 2025-03-21T20:31:48.6585334Z 2025-03-21T20:31:48.6586072Z # 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) 2025-03-21T20:31:48.6588105Z quantized_decomposed_dequantize_per_tensor_default_391: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_176, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_176 = None 2025-03-21T20:31:48.6589633Z 2025-03-21T20:31:48.6590364Z # 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) 2025-03-21T20:31:48.6591989Z aten_unsqueeze_copy_default_13: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_379, -1); quantized_decomposed_dequantize_per_tensor_default_379 = None 2025-03-21T20:31:48.6594275Z quantized_decomposed_quantize_per_tensor_default_177: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_13, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_unsqueeze_copy_default_13 = None 2025-03-21T20:31:48.6595579Z 2025-03-21T20:31:48.6596185Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.6598063Z quantized_decomposed_dequantize_per_tensor_default_392: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_177, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_177 = None 2025-03-21T20:31:48.6600393Z aten_permute_copy_default_45: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_392, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_392 = None 2025-03-21T20:31:48.6602465Z quantized_decomposed_quantize_per_tensor_default_178: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_45, 0.0002292444696649909, 31927, 0, 65535, torch.int32); aten_permute_copy_default_45 = None 2025-03-21T20:31:48.6603744Z 2025-03-21T20:31:48.6604303Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.6606177Z quantized_decomposed_dequantize_per_tensor_default_393: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_178, 0.0002292444696649909, 31927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_178 = None 2025-03-21T20:31:48.6609059Z aten_convolution_default_9: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_393, quantized_decomposed_dequantize_per_tensor_default_13, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_393 = quantized_decomposed_dequantize_per_tensor_default_13 = None 2025-03-21T20:31:48.6611693Z quantized_decomposed_quantize_per_tensor_default_179: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_9, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_convolution_default_9 = None 2025-03-21T20:31:48.6612958Z 2025-03-21T20:31:48.6613583Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.6615487Z quantized_decomposed_dequantize_per_tensor_default_394: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_179, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_179 = None 2025-03-21T20:31:48.6617806Z aten_permute_copy_default_46: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_394, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_394 = None 2025-03-21T20:31:48.6619880Z quantized_decomposed_quantize_per_tensor_default_180: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_46, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_46 = None 2025-03-21T20:31:48.6621186Z 2025-03-21T20:31:48.6621937Z # 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]) 2025-03-21T20:31:48.6623977Z quantized_decomposed_dequantize_per_tensor_default_395: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_180, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_180 = None 2025-03-21T20:31:48.6626252Z aten_squeeze_copy_dims_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_395, [-1]); quantized_decomposed_dequantize_per_tensor_default_395 = None 2025-03-21T20:31:48.6628242Z quantized_decomposed_quantize_per_tensor_default_181: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_13, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_squeeze_copy_dims_13 = None 2025-03-21T20:31:48.6629487Z 2025-03-21T20:31:48.6630227Z # 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) 2025-03-21T20:31:48.6632232Z quantized_decomposed_dequantize_per_tensor_default_396: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_181, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_181 = None 2025-03-21T20:31:48.6633840Z 2025-03-21T20:31:48.6634598Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.6636177Z aten_view_copy_default_18: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_386, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_386 = None 2025-03-21T20:31:48.6638204Z quantized_decomposed_quantize_per_tensor_default_182: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_18, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_view_copy_default_18 = None 2025-03-21T20:31:48.6639484Z 2025-03-21T20:31:48.6640669Z # File: .50:943 in forward, code: dequantize_per_tensor_default_332 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_332, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantize_per_tensor_default_332 = None 2025-03-21T20:31:48.6643155Z quantized_decomposed_dequantize_per_tensor_default_397: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_182, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_182 = None 2025-03-21T20:31:48.6644674Z 2025-03-21T20:31:48.6645410Z # 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) 2025-03-21T20:31:48.6646996Z aten_view_copy_default_19: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_391, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_391 = None 2025-03-21T20:31:48.6649015Z quantized_decomposed_quantize_per_tensor_default_183: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_19, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_view_copy_default_19 = None 2025-03-21T20:31:48.6650289Z 2025-03-21T20:31:48.6651504Z # File: .50:946 in forward, code: dequantize_per_tensor_default_333 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_333, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_333 = None 2025-03-21T20:31:48.6654000Z quantized_decomposed_dequantize_per_tensor_default_398: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_183, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_183 = None 2025-03-21T20:31:48.6655514Z 2025-03-21T20:31:48.6656254Z # 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) 2025-03-21T20:31:48.6657833Z aten_view_copy_default_20: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_396, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_396 = None 2025-03-21T20:31:48.6659816Z quantized_decomposed_quantize_per_tensor_default_184: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_20, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_view_copy_default_20 = None 2025-03-21T20:31:48.6661054Z 2025-03-21T20:31:48.6661978Z # 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) 2025-03-21T20:31:48.6664134Z quantized_decomposed_dequantize_per_tensor_default_399: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_184, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_184 = None 2025-03-21T20:31:48.6665649Z 2025-03-21T20:31:48.6666821Z # File: .50:951 in forward, code: quantize_per_tensor_default_335 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_2, 0.0005588589119724929, 30540, 0, 65535, torch.int32); _to_copy_2 = None 2025-03-21T20:31:48.6669133Z quantized_decomposed_quantize_per_tensor_default_185: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_397, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_397 = None 2025-03-21T20:31:48.6670653Z 2025-03-21T20:31:48.6671395Z # 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) 2025-03-21T20:31:48.6673503Z quantized_decomposed_dequantize_per_tensor_default_400: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_185, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_185 = None 2025-03-21T20:31:48.6675796Z aten_view_copy_default_21: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_400, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_400 = None 2025-03-21T20:31:48.6677826Z quantized_decomposed_quantize_per_tensor_default_186: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_21, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_view_copy_default_21 = None 2025-03-21T20:31:48.6680341Z quantized_decomposed_dequantize_per_tensor_default_401: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_186, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_186 = None 2025-03-21T20:31:48.6682357Z aten_slice_copy_tensor_4: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_401, 4, 0, 1) 2025-03-21T20:31:48.6683947Z aten_slice_copy_tensor_5: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_401, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_401 = None 2025-03-21T20:31:48.6685495Z 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 2025-03-21T20:31:48.6686795Z 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 2025-03-21T20:31:48.6688536Z quantized_decomposed_quantize_per_tensor_default_187: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_14, 0.00031485746148973703, 24746, 0, 65535, torch.int32); aten_squeeze_copy_dims_14 = None 2025-03-21T20:31:48.6689805Z 2025-03-21T20:31:48.6690560Z # 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 2025-03-21T20:31:48.6692280Z quantized_decomposed_dequantize_per_tensor_default_402: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_187, 0.00031485746148973703, 24746, 0, 65535, torch.int32) 2025-03-21T20:31:48.6693546Z 2025-03-21T20:31:48.6694239Z # 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 2025-03-21T20:31:48.6696207Z quantized_decomposed_dequantize_per_tensor_default_403: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_187, 0.00031485746148973703, 24746, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_187 = None 2025-03-21T20:31:48.6697761Z 2025-03-21T20:31:48.6698488Z # 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) 2025-03-21T20:31:48.6700228Z quantized_decomposed_quantize_per_tensor_default_188: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_15, 0.0005588589119724929, 30540, 0, 65535, torch.int32); aten_squeeze_copy_dims_15 = None 2025-03-21T20:31:48.6701488Z 2025-03-21T20:31:48.6702177Z # 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 2025-03-21T20:31:48.6703881Z quantized_decomposed_dequantize_per_tensor_default_404: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_188, 0.0005588589119724929, 30540, 0, 65535, torch.int32) 2025-03-21T20:31:48.6705149Z 2025-03-21T20:31:48.6705832Z # 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 2025-03-21T20:31:48.6707849Z quantized_decomposed_dequantize_per_tensor_default_405: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_188, 0.0005588589119724929, 30540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_188 = None 2025-03-21T20:31:48.6709366Z 2025-03-21T20:31:48.6710346Z # File: .50:966 in forward, code: quantize_per_tensor_default_339 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_3, 0.00035107287112623453, 33587, 0, 65535, torch.int32); _to_copy_3 = None 2025-03-21T20:31:48.6712624Z quantized_decomposed_quantize_per_tensor_default_189: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_398, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_398 = None 2025-03-21T20:31:48.6714229Z 2025-03-21T20:31:48.6714959Z # 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) 2025-03-21T20:31:48.6716966Z quantized_decomposed_dequantize_per_tensor_default_406: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_189, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_189 = None 2025-03-21T20:31:48.6719297Z aten_view_copy_default_22: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_406, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_406 = None 2025-03-21T20:31:48.6721325Z quantized_decomposed_quantize_per_tensor_default_190: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_22, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_view_copy_default_22 = None 2025-03-21T20:31:48.6723772Z quantized_decomposed_dequantize_per_tensor_default_407: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_190, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_190 = None 2025-03-21T20:31:48.6725818Z aten_slice_copy_tensor_6: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_407, 4, 0, 1) 2025-03-21T20:31:48.6727396Z aten_slice_copy_tensor_7: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_407, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_407 = None 2025-03-21T20:31:48.6728953Z 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 2025-03-21T20:31:48.6730244Z 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 2025-03-21T20:31:48.6731988Z quantized_decomposed_quantize_per_tensor_default_191: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_16, 0.00035107287112623453, 33587, 0, 65535, torch.int32); aten_squeeze_copy_dims_16 = None 2025-03-21T20:31:48.6733246Z 2025-03-21T20:31:48.6733954Z # 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 2025-03-21T20:31:48.6735684Z quantized_decomposed_dequantize_per_tensor_default_408: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_191, 0.00035107287112623453, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:48.6736948Z 2025-03-21T20:31:48.6737633Z # 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 2025-03-21T20:31:48.6739610Z quantized_decomposed_dequantize_per_tensor_default_409: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_191, 0.00035107287112623453, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_191 = None 2025-03-21T20:31:48.6741133Z 2025-03-21T20:31:48.6741868Z # 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) 2025-03-21T20:31:48.6743614Z quantized_decomposed_quantize_per_tensor_default_192: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_17, 0.0003347279562149197, 34945, 0, 65535, torch.int32); aten_squeeze_copy_dims_17 = None 2025-03-21T20:31:48.6744858Z 2025-03-21T20:31:48.6745527Z # 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 2025-03-21T20:31:48.6747255Z quantized_decomposed_dequantize_per_tensor_default_410: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_192, 0.0003347279562149197, 34945, 0, 65535, torch.int32) 2025-03-21T20:31:48.6748522Z 2025-03-21T20:31:48.6749203Z # 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 2025-03-21T20:31:48.6751161Z quantized_decomposed_dequantize_per_tensor_default_411: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_192, 0.0003347279562149197, 34945, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_192 = None 2025-03-21T20:31:48.6752702Z 2025-03-21T20:31:48.6753472Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.6754965Z aten_view_copy_default_23: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_161, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_161 = None 2025-03-21T20:31:48.6756969Z quantized_decomposed_quantize_per_tensor_default_193: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_23, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_23 = None 2025-03-21T20:31:48.6758200Z 2025-03-21T20:31:48.6758890Z # 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 2025-03-21T20:31:48.6760594Z quantized_decomposed_dequantize_per_tensor_default_412: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_193, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.6761893Z 2025-03-21T20:31:48.6762577Z # 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 2025-03-21T20:31:48.6764309Z quantized_decomposed_dequantize_per_tensor_default_413: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_193, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.6765569Z 2025-03-21T20:31:48.6766250Z # 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 2025-03-21T20:31:48.6768121Z quantized_decomposed_dequantize_per_tensor_default_414: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_193, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.6769388Z 2025-03-21T20:31:48.6770073Z # 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 2025-03-21T20:31:48.6772036Z quantized_decomposed_dequantize_per_tensor_default_415: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_193, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_193 = None 2025-03-21T20:31:48.6773548Z 2025-03-21T20:31:48.6774191Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.6775729Z aten_view_copy_default_24: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_173, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_173 = None 2025-03-21T20:31:48.6777722Z quantized_decomposed_quantize_per_tensor_default_194: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_24, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_24 = None 2025-03-21T20:31:48.6778969Z 2025-03-21T20:31:48.6779637Z # 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 2025-03-21T20:31:48.6781371Z quantized_decomposed_dequantize_per_tensor_default_416: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_194, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.6782647Z 2025-03-21T20:31:48.6783324Z # 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 2025-03-21T20:31:48.6785013Z quantized_decomposed_dequantize_per_tensor_default_417: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_194, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.6786274Z 2025-03-21T20:31:48.6786954Z # 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 2025-03-21T20:31:48.6788655Z quantized_decomposed_dequantize_per_tensor_default_418: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_194, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.6789917Z 2025-03-21T20:31:48.6790624Z # 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 2025-03-21T20:31:48.6792633Z quantized_decomposed_dequantize_per_tensor_default_419: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_194, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_194 = None 2025-03-21T20:31:48.6794264Z 2025-03-21T20:31:48.6794954Z # 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 2025-03-21T20:31:48.6796902Z aten_mul_tensor_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_403, quantized_decomposed_dequantize_per_tensor_default_415); quantized_decomposed_dequantize_per_tensor_default_403 = quantized_decomposed_dequantize_per_tensor_default_415 = None 2025-03-21T20:31:48.6799268Z quantized_decomposed_quantize_per_tensor_default_195: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_17, 0.00031216273782774806, 24881, 0, 65535, torch.int32); aten_mul_tensor_17 = None 2025-03-21T20:31:48.6801678Z quantized_decomposed_dequantize_per_tensor_default_420: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_195, 0.00031216273782774806, 24881, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_195 = None 2025-03-21T20:31:48.6804401Z aten_mul_tensor_18: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_404, quantized_decomposed_dequantize_per_tensor_default_418); quantized_decomposed_dequantize_per_tensor_default_404 = quantized_decomposed_dequantize_per_tensor_default_418 = None 2025-03-21T20:31:48.6806756Z quantized_decomposed_quantize_per_tensor_default_196: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_18, 0.00018542019824963063, 32753, 0, 65535, torch.int32); aten_mul_tensor_18 = None 2025-03-21T20:31:48.6809147Z quantized_decomposed_dequantize_per_tensor_default_421: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_196, 0.00018542019824963063, 32753, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_196 = None 2025-03-21T20:31:48.6811851Z aten_sub_tensor_2: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_420, quantized_decomposed_dequantize_per_tensor_default_421); quantized_decomposed_dequantize_per_tensor_default_420 = quantized_decomposed_dequantize_per_tensor_default_421 = None 2025-03-21T20:31:48.6814221Z quantized_decomposed_quantize_per_tensor_default_197: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_2, 0.0003158242325298488, 26127, 0, 65535, torch.int32); aten_sub_tensor_2 = None 2025-03-21T20:31:48.6815411Z 2025-03-21T20:31:48.6816619Z # File: .50:1000 in forward, code: dequantize_per_tensor_default_347 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_347, 0.0003158242325298488, 26127, 0, 65535, torch.int32); quantize_per_tensor_default_347 = None 2025-03-21T20:31:48.6819109Z quantized_decomposed_dequantize_per_tensor_default_422: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_197, 0.0003158242325298488, 26127, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_197 = None 2025-03-21T20:31:48.6819233Z 2025-03-21T20:31:48.6819778Z # 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 2025-03-21T20:31:48.6821077Z aten_mul_tensor_19: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_402, quantized_decomposed_dequantize_per_tensor_default_419); quantized_decomposed_dequantize_per_tensor_default_402 = quantized_decomposed_dequantize_per_tensor_default_419 = None 2025-03-21T20:31:48.6822068Z quantized_decomposed_quantize_per_tensor_default_198: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_19, 0.00020952976774424314, 32714, 0, 65535, torch.int32); aten_mul_tensor_19 = None 2025-03-21T20:31:48.6823370Z quantized_decomposed_dequantize_per_tensor_default_423: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_198, 0.00020952976774424314, 32714, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_198 = None 2025-03-21T20:31:48.6824646Z aten_mul_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_405, quantized_decomposed_dequantize_per_tensor_default_414); quantized_decomposed_dequantize_per_tensor_default_405 = quantized_decomposed_dequantize_per_tensor_default_414 = None 2025-03-21T20:31:48.6825634Z quantized_decomposed_quantize_per_tensor_default_199: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_20, 0.0005582913290709257, 30556, 0, 65535, torch.int32); aten_mul_tensor_20 = None 2025-03-21T20:31:48.6826945Z quantized_decomposed_dequantize_per_tensor_default_424: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_199, 0.0005582913290709257, 30556, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_199 = None 2025-03-21T20:31:48.6828279Z aten_add_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_423, quantized_decomposed_dequantize_per_tensor_default_424); quantized_decomposed_dequantize_per_tensor_default_423 = quantized_decomposed_dequantize_per_tensor_default_424 = None 2025-03-21T20:31:48.6829266Z quantized_decomposed_quantize_per_tensor_default_200: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_5, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_add_tensor_5 = None 2025-03-21T20:31:48.6829384Z 2025-03-21T20:31:48.6830433Z # File: .50:1009 in forward, code: dequantize_per_tensor_default_350 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_350, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantize_per_tensor_default_350 = None 2025-03-21T20:31:48.6831749Z quantized_decomposed_dequantize_per_tensor_default_425: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_200, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_200 = None 2025-03-21T20:31:48.6831851Z 2025-03-21T20:31:48.6832409Z # 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 2025-03-21T20:31:48.6833784Z aten_mul_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_409, quantized_decomposed_dequantize_per_tensor_default_413); quantized_decomposed_dequantize_per_tensor_default_409 = quantized_decomposed_dequantize_per_tensor_default_413 = None 2025-03-21T20:31:48.6834854Z quantized_decomposed_quantize_per_tensor_default_201: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_21, 0.00035014102468267083, 33669, 0, 65535, torch.int32); aten_mul_tensor_21 = None 2025-03-21T20:31:48.6836161Z quantized_decomposed_dequantize_per_tensor_default_426: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_201, 0.00035014102468267083, 33669, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_201 = None 2025-03-21T20:31:48.6837451Z aten_mul_tensor_22: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_410, quantized_decomposed_dequantize_per_tensor_default_416); quantized_decomposed_dequantize_per_tensor_default_410 = quantized_decomposed_dequantize_per_tensor_default_416 = None 2025-03-21T20:31:48.6838414Z quantized_decomposed_quantize_per_tensor_default_202: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_22, 0.0002225427160738036, 32972, 0, 65535, torch.int32); aten_mul_tensor_22 = None 2025-03-21T20:31:48.6839757Z quantized_decomposed_dequantize_per_tensor_default_427: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_202, 0.0002225427160738036, 32972, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_202 = None 2025-03-21T20:31:48.6841026Z aten_sub_tensor_3: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_426, quantized_decomposed_dequantize_per_tensor_default_427); quantized_decomposed_dequantize_per_tensor_default_426 = quantized_decomposed_dequantize_per_tensor_default_427 = None 2025-03-21T20:31:48.6842005Z quantized_decomposed_quantize_per_tensor_default_203: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_3, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_sub_tensor_3 = None 2025-03-21T20:31:48.6842138Z 2025-03-21T20:31:48.6843214Z # File: .50:1018 in forward, code: dequantize_per_tensor_default_353 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_353, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_353 = None 2025-03-21T20:31:48.6844517Z quantized_decomposed_dequantize_per_tensor_default_428: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_203, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_203 = None 2025-03-21T20:31:48.6844625Z 2025-03-21T20:31:48.6845161Z # 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 2025-03-21T20:31:48.6846434Z aten_mul_tensor_23: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_408, quantized_decomposed_dequantize_per_tensor_default_417); quantized_decomposed_dequantize_per_tensor_default_408 = quantized_decomposed_dequantize_per_tensor_default_417 = None 2025-03-21T20:31:48.6847401Z quantized_decomposed_quantize_per_tensor_default_204: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_23, 0.0002190972154494375, 28074, 0, 65535, torch.int32); aten_mul_tensor_23 = None 2025-03-21T20:31:48.6848762Z quantized_decomposed_dequantize_per_tensor_default_429: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_204, 0.0002190972154494375, 28074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_204 = None 2025-03-21T20:31:48.6850032Z aten_mul_tensor_24: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_411, quantized_decomposed_dequantize_per_tensor_default_412); quantized_decomposed_dequantize_per_tensor_default_411 = quantized_decomposed_dequantize_per_tensor_default_412 = None 2025-03-21T20:31:48.6851024Z quantized_decomposed_quantize_per_tensor_default_205: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_24, 0.00033182575134560466, 34828, 0, 65535, torch.int32); aten_mul_tensor_24 = None 2025-03-21T20:31:48.6852335Z quantized_decomposed_dequantize_per_tensor_default_430: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_205, 0.00033182575134560466, 34828, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_205 = None 2025-03-21T20:31:48.6853635Z aten_add_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_429, quantized_decomposed_dequantize_per_tensor_default_430); quantized_decomposed_dequantize_per_tensor_default_429 = quantized_decomposed_dequantize_per_tensor_default_430 = None 2025-03-21T20:31:48.6854600Z quantized_decomposed_quantize_per_tensor_default_206: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_6, 0.0003313907072879374, 34832, 0, 65535, torch.int32); aten_add_tensor_6 = None 2025-03-21T20:31:48.6854696Z 2025-03-21T20:31:48.6855756Z # File: .50:1027 in forward, code: dequantize_per_tensor_default_356 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_356, 0.0003313907072879374, 34832, 0, 65535, torch.int32); quantize_per_tensor_default_356 = None 2025-03-21T20:31:48.6857080Z quantized_decomposed_dequantize_per_tensor_default_431: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_206, 0.0003313907072879374, 34832, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_206 = None 2025-03-21T20:31:48.6857190Z 2025-03-21T20:31:48.6857774Z # 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) 2025-03-21T20:31:48.6858690Z aten_unsqueeze_copy_default_14: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_422, 4); quantized_decomposed_dequantize_per_tensor_default_422 = None 2025-03-21T20:31:48.6859583Z aten_unsqueeze_copy_default_15: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_425, 4); quantized_decomposed_dequantize_per_tensor_default_425 = None 2025-03-21T20:31:48.6860428Z 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 2025-03-21T20:31:48.6861427Z quantized_decomposed_quantize_per_tensor_default_207: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_4, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_cat_default_4 = None 2025-03-21T20:31:48.6862766Z quantized_decomposed_dequantize_per_tensor_default_432: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_207, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_207 = None 2025-03-21T20:31:48.6863627Z aten_view_copy_default_25: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_432, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_432 = None 2025-03-21T20:31:48.6864667Z quantized_decomposed_quantize_per_tensor_default_208: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_25, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_view_copy_default_25 = None 2025-03-21T20:31:48.6864763Z 2025-03-21T20:31:48.6865820Z # File: .50:1033 in forward, code: dequantize_per_tensor_default_358 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_358, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantize_per_tensor_default_358 = None 2025-03-21T20:31:48.6867628Z quantized_decomposed_dequantize_per_tensor_default_433: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_208, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_208 = None 2025-03-21T20:31:48.6867745Z 2025-03-21T20:31:48.6868332Z # 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) 2025-03-21T20:31:48.6869247Z aten_unsqueeze_copy_default_16: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_428, 4); quantized_decomposed_dequantize_per_tensor_default_428 = None 2025-03-21T20:31:48.6870144Z aten_unsqueeze_copy_default_17: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_431, 4); quantized_decomposed_dequantize_per_tensor_default_431 = None 2025-03-21T20:31:48.6871031Z 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 2025-03-21T20:31:48.6872014Z quantized_decomposed_quantize_per_tensor_default_209: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_5, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_cat_default_5 = None 2025-03-21T20:31:48.6873430Z quantized_decomposed_dequantize_per_tensor_default_434: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_209, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_209 = None 2025-03-21T20:31:48.6874296Z aten_view_copy_default_26: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_434, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_434 = None 2025-03-21T20:31:48.6875367Z quantized_decomposed_quantize_per_tensor_default_210: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_26, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_view_copy_default_26 = None 2025-03-21T20:31:48.6875464Z 2025-03-21T20:31:48.6876564Z # File: .50:1039 in forward, code: dequantize_per_tensor_default_360 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_360, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_360 = None 2025-03-21T20:31:48.6877878Z quantized_decomposed_dequantize_per_tensor_default_435: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_210, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_210 = None 2025-03-21T20:31:48.6877990Z 2025-03-21T20:31:48.6878827Z # File: .50:1041 in forward, code: quantize_per_tensor_default_361 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_2, 0.0005553436931222677, 30616, 0, 65535, torch.int32); type_as_2 = None 2025-03-21T20:31:48.6880135Z quantized_decomposed_quantize_per_tensor_default_211: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_433, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_433 = None 2025-03-21T20:31:48.6880232Z 2025-03-21T20:31:48.6880858Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.6882143Z quantized_decomposed_dequantize_per_tensor_default_436: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_211, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_211 = None 2025-03-21T20:31:48.6882255Z 2025-03-21T20:31:48.6883101Z # File: .50:1044 in forward, code: quantize_per_tensor_default_362 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_3, 0.00035046463017351925, 33692, 0, 65535, torch.int32); type_as_3 = None 2025-03-21T20:31:48.6884441Z quantized_decomposed_quantize_per_tensor_default_212: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_435, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_435 = None 2025-03-21T20:31:48.6884539Z 2025-03-21T20:31:48.6885307Z # 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) 2025-03-21T20:31:48.6886618Z quantized_decomposed_dequantize_per_tensor_default_437: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_212, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_212 = None 2025-03-21T20:31:48.6886728Z 2025-03-21T20:31:48.6887312Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.6888217Z aten_permute_copy_default_47: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_436, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_436 = None 2025-03-21T20:31:48.6889306Z quantized_decomposed_quantize_per_tensor_default_213: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_47, 0.0005553436931222677, 30616, 0, 65535, torch.int32); aten_permute_copy_default_47 = None 2025-03-21T20:31:48.6889418Z 2025-03-21T20:31:48.6890065Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.6891380Z quantized_decomposed_dequantize_per_tensor_default_438: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_213, 0.0005553436931222677, 30616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_213 = None 2025-03-21T20:31:48.6891480Z 2025-03-21T20:31:48.6892239Z # 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) 2025-03-21T20:31:48.6893715Z aten_index_put_default_2: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_116, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_437); quantized_decomposed_dequantize_per_tensor_default_116 = quantized_decomposed_dequantize_per_tensor_default_437 = None 2025-03-21T20:31:48.6894781Z quantized_decomposed_quantize_per_tensor_default_214: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_2, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_index_put_default_2 = None 2025-03-21T20:31:48.6894879Z 2025-03-21T20:31:48.6895778Z # File: .50:1051 in forward, code: dequantize_per_tensor_default_364 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_364, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6896837Z quantized_decomposed_dequantize_per_tensor_default_439: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6896973Z 2025-03-21T20:31:48.6897688Z # 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) 2025-03-21T20:31:48.6898736Z quantized_decomposed_dequantize_per_tensor_default_440: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6899786Z quantized_decomposed_dequantize_per_tensor_default_441: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6900842Z quantized_decomposed_dequantize_per_tensor_default_442: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6901889Z quantized_decomposed_dequantize_per_tensor_default_443: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6902969Z quantized_decomposed_dequantize_per_tensor_default_444: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6904044Z quantized_decomposed_dequantize_per_tensor_default_445: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6905097Z quantized_decomposed_dequantize_per_tensor_default_446: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6906139Z quantized_decomposed_dequantize_per_tensor_default_447: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6907200Z quantized_decomposed_dequantize_per_tensor_default_448: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6908271Z quantized_decomposed_dequantize_per_tensor_default_449: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6909325Z quantized_decomposed_dequantize_per_tensor_default_450: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32) 2025-03-21T20:31:48.6910642Z quantized_decomposed_dequantize_per_tensor_default_451: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_214, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_214 = None 2025-03-21T20:31:48.6910780Z 2025-03-21T20:31:48.6911532Z # 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) 2025-03-21T20:31:48.6913089Z aten_index_put_default_3: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_117, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_399); quantized_decomposed_dequantize_per_tensor_default_117 = quantized_decomposed_dequantize_per_tensor_default_399 = None 2025-03-21T20:31:48.6914114Z quantized_decomposed_quantize_per_tensor_default_215: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_3, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_index_put_default_3 = None 2025-03-21T20:31:48.6914229Z 2025-03-21T20:31:48.6915107Z # File: .50:1066 in forward, code: dequantize_per_tensor_default_365 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_365, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6916173Z quantized_decomposed_dequantize_per_tensor_default_452: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6916302Z 2025-03-21T20:31:48.6917061Z # 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) 2025-03-21T20:31:48.6918101Z quantized_decomposed_dequantize_per_tensor_default_453: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6919161Z quantized_decomposed_dequantize_per_tensor_default_454: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6920195Z quantized_decomposed_dequantize_per_tensor_default_455: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6921254Z quantized_decomposed_dequantize_per_tensor_default_456: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6922314Z quantized_decomposed_dequantize_per_tensor_default_457: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6923362Z quantized_decomposed_dequantize_per_tensor_default_458: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6924416Z quantized_decomposed_dequantize_per_tensor_default_459: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6925477Z quantized_decomposed_dequantize_per_tensor_default_460: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6926532Z quantized_decomposed_dequantize_per_tensor_default_461: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6927575Z quantized_decomposed_dequantize_per_tensor_default_462: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6928617Z quantized_decomposed_dequantize_per_tensor_default_463: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32) 2025-03-21T20:31:48.6929912Z quantized_decomposed_dequantize_per_tensor_default_464: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_215, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_215 = None 2025-03-21T20:31:48.6930051Z 2025-03-21T20:31:48.6930795Z # 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) 2025-03-21T20:31:48.6931702Z aten_permute_copy_default_48: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_451, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_451 = None 2025-03-21T20:31:48.6932773Z quantized_decomposed_quantize_per_tensor_default_216: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_48, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_48 = None 2025-03-21T20:31:48.6934088Z quantized_decomposed_dequantize_per_tensor_default_465: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_216, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_216 = None 2025-03-21T20:31:48.6934921Z aten_select_copy_int_48: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_465, 0, 0); quantized_decomposed_dequantize_per_tensor_default_465 = None 2025-03-21T20:31:48.6935970Z quantized_decomposed_quantize_per_tensor_default_217: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_48, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_48 = None 2025-03-21T20:31:48.6937272Z quantized_decomposed_dequantize_per_tensor_default_466: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_217, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_217 = None 2025-03-21T20:31:48.6938113Z aten_select_copy_int_49: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_466, 0, 0); quantized_decomposed_dequantize_per_tensor_default_466 = None 2025-03-21T20:31:48.6939137Z quantized_decomposed_quantize_per_tensor_default_218: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_49, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_49 = None 2025-03-21T20:31:48.6939250Z 2025-03-21T20:31:48.6940298Z # File: .50:1087 in forward, code: dequantize_per_tensor_default_368 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_368, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_368 = None 2025-03-21T20:31:48.6941618Z quantized_decomposed_dequantize_per_tensor_default_467: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_218, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_218 = None 2025-03-21T20:31:48.6941717Z 2025-03-21T20:31:48.6942446Z # 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) 2025-03-21T20:31:48.6943352Z aten_permute_copy_default_49: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_450, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_450 = None 2025-03-21T20:31:48.6944502Z quantized_decomposed_quantize_per_tensor_default_219: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_49, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_49 = None 2025-03-21T20:31:48.6945808Z quantized_decomposed_dequantize_per_tensor_default_468: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_219, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_219 = None 2025-03-21T20:31:48.6946654Z aten_select_copy_int_50: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_468, 0, 0); quantized_decomposed_dequantize_per_tensor_default_468 = None 2025-03-21T20:31:48.6947667Z quantized_decomposed_quantize_per_tensor_default_220: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_50, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_50 = None 2025-03-21T20:31:48.6948969Z quantized_decomposed_dequantize_per_tensor_default_469: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_220, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_220 = None 2025-03-21T20:31:48.6949824Z aten_select_copy_int_51: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_469, 0, 1); quantized_decomposed_dequantize_per_tensor_default_469 = None 2025-03-21T20:31:48.6950832Z quantized_decomposed_quantize_per_tensor_default_221: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_51, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_51 = None 2025-03-21T20:31:48.6950943Z 2025-03-21T20:31:48.6951983Z # File: .50:1096 in forward, code: dequantize_per_tensor_default_371 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_371, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_371 = None 2025-03-21T20:31:48.6953418Z quantized_decomposed_dequantize_per_tensor_default_470: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_221, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_221 = None 2025-03-21T20:31:48.6953520Z 2025-03-21T20:31:48.6954239Z # 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) 2025-03-21T20:31:48.6955157Z aten_permute_copy_default_50: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_449, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_449 = None 2025-03-21T20:31:48.6956237Z quantized_decomposed_quantize_per_tensor_default_222: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_50, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_50 = None 2025-03-21T20:31:48.6957539Z quantized_decomposed_dequantize_per_tensor_default_471: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_222, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_222 = None 2025-03-21T20:31:48.6958444Z aten_select_copy_int_52: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_471, 0, 0); quantized_decomposed_dequantize_per_tensor_default_471 = None 2025-03-21T20:31:48.6959460Z quantized_decomposed_quantize_per_tensor_default_223: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_52, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_52 = None 2025-03-21T20:31:48.6960775Z quantized_decomposed_dequantize_per_tensor_default_472: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_223, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_223 = None 2025-03-21T20:31:48.6961593Z aten_select_copy_int_53: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_472, 0, 2); quantized_decomposed_dequantize_per_tensor_default_472 = None 2025-03-21T20:31:48.6962608Z quantized_decomposed_quantize_per_tensor_default_224: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_53, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_53 = None 2025-03-21T20:31:48.6962706Z 2025-03-21T20:31:48.6963792Z # File: .50:1105 in forward, code: dequantize_per_tensor_default_374 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_374, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_374 = None 2025-03-21T20:31:48.6965098Z quantized_decomposed_dequantize_per_tensor_default_473: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_224, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_224 = None 2025-03-21T20:31:48.6965208Z 2025-03-21T20:31:48.6965927Z # 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) 2025-03-21T20:31:48.6967062Z aten_permute_copy_default_51: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_448, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_448 = None 2025-03-21T20:31:48.6968123Z quantized_decomposed_quantize_per_tensor_default_225: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_51, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_51 = None 2025-03-21T20:31:48.6969454Z quantized_decomposed_dequantize_per_tensor_default_474: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_225, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_225 = None 2025-03-21T20:31:48.6970288Z aten_select_copy_int_54: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_474, 0, 0); quantized_decomposed_dequantize_per_tensor_default_474 = None 2025-03-21T20:31:48.6971317Z quantized_decomposed_quantize_per_tensor_default_226: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_54, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_54 = None 2025-03-21T20:31:48.6972713Z quantized_decomposed_dequantize_per_tensor_default_475: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_226, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_226 = None 2025-03-21T20:31:48.6973555Z aten_select_copy_int_55: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_475, 0, 3); quantized_decomposed_dequantize_per_tensor_default_475 = None 2025-03-21T20:31:48.6974554Z quantized_decomposed_quantize_per_tensor_default_227: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_55, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_55 = None 2025-03-21T20:31:48.6974670Z 2025-03-21T20:31:48.6975727Z # File: .50:1114 in forward, code: dequantize_per_tensor_default_377 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_377, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_377 = None 2025-03-21T20:31:48.6977039Z quantized_decomposed_dequantize_per_tensor_default_476: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_227, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_227 = None 2025-03-21T20:31:48.6977173Z 2025-03-21T20:31:48.6977906Z # 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) 2025-03-21T20:31:48.6978799Z aten_permute_copy_default_52: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_447, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_447 = None 2025-03-21T20:31:48.6979879Z quantized_decomposed_quantize_per_tensor_default_228: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_52, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_52 = None 2025-03-21T20:31:48.6981220Z quantized_decomposed_dequantize_per_tensor_default_477: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_228, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_228 = None 2025-03-21T20:31:48.6982060Z aten_select_copy_int_56: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_477, 0, 0); quantized_decomposed_dequantize_per_tensor_default_477 = None 2025-03-21T20:31:48.6983072Z quantized_decomposed_quantize_per_tensor_default_229: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_56, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_56 = None 2025-03-21T20:31:48.6984403Z quantized_decomposed_dequantize_per_tensor_default_478: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_229, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_229 = None 2025-03-21T20:31:48.6985267Z aten_select_copy_int_57: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_478, 0, 4); quantized_decomposed_dequantize_per_tensor_default_478 = None 2025-03-21T20:31:48.6986300Z quantized_decomposed_quantize_per_tensor_default_230: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_57, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_57 = None 2025-03-21T20:31:48.6986415Z 2025-03-21T20:31:48.6987469Z # File: .50:1123 in forward, code: dequantize_per_tensor_default_380 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_380, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_380 = None 2025-03-21T20:31:48.6988790Z quantized_decomposed_dequantize_per_tensor_default_479: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_230, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_230 = None 2025-03-21T20:31:48.6988888Z 2025-03-21T20:31:48.6989622Z # 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) 2025-03-21T20:31:48.6990524Z aten_permute_copy_default_53: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_446, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_446 = None 2025-03-21T20:31:48.6991644Z quantized_decomposed_quantize_per_tensor_default_231: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_53, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_53 = None 2025-03-21T20:31:48.6993028Z quantized_decomposed_dequantize_per_tensor_default_480: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_231, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_231 = None 2025-03-21T20:31:48.6993875Z aten_select_copy_int_58: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_480, 0, 0); quantized_decomposed_dequantize_per_tensor_default_480 = None 2025-03-21T20:31:48.6994915Z quantized_decomposed_quantize_per_tensor_default_232: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_58, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_58 = None 2025-03-21T20:31:48.6996247Z quantized_decomposed_dequantize_per_tensor_default_481: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_232, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_232 = None 2025-03-21T20:31:48.6997077Z aten_select_copy_int_59: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_481, 0, 5); quantized_decomposed_dequantize_per_tensor_default_481 = None 2025-03-21T20:31:48.6998099Z quantized_decomposed_quantize_per_tensor_default_233: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_59, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_59 = None 2025-03-21T20:31:48.6998228Z 2025-03-21T20:31:48.6999299Z # File: .50:1132 in forward, code: dequantize_per_tensor_default_383 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_383, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_383 = None 2025-03-21T20:31:48.7000635Z quantized_decomposed_dequantize_per_tensor_default_482: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_233, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_233 = None 2025-03-21T20:31:48.7000760Z 2025-03-21T20:31:48.7001479Z # 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) 2025-03-21T20:31:48.7002395Z aten_permute_copy_default_54: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_445, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_445 = None 2025-03-21T20:31:48.7003450Z quantized_decomposed_quantize_per_tensor_default_234: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_54, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_54 = None 2025-03-21T20:31:48.7004799Z quantized_decomposed_dequantize_per_tensor_default_483: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_234, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_234 = None 2025-03-21T20:31:48.7005627Z aten_select_copy_int_60: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_483, 0, 0); quantized_decomposed_dequantize_per_tensor_default_483 = None 2025-03-21T20:31:48.7006651Z quantized_decomposed_quantize_per_tensor_default_235: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_60, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_60 = None 2025-03-21T20:31:48.7007953Z quantized_decomposed_dequantize_per_tensor_default_484: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_235, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_235 = None 2025-03-21T20:31:48.7008830Z aten_select_copy_int_61: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_484, 0, 6); quantized_decomposed_dequantize_per_tensor_default_484 = None 2025-03-21T20:31:48.7009842Z quantized_decomposed_quantize_per_tensor_default_236: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_61, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_61 = None 2025-03-21T20:31:48.7009950Z 2025-03-21T20:31:48.7010998Z # File: .50:1141 in forward, code: dequantize_per_tensor_default_386 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_386, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_386 = None 2025-03-21T20:31:48.7012314Z quantized_decomposed_dequantize_per_tensor_default_485: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_236, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_236 = None 2025-03-21T20:31:48.7012436Z 2025-03-21T20:31:48.7013161Z # 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) 2025-03-21T20:31:48.7014088Z aten_permute_copy_default_55: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_444, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_444 = None 2025-03-21T20:31:48.7015170Z quantized_decomposed_quantize_per_tensor_default_237: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_55, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_55 = None 2025-03-21T20:31:48.7016477Z quantized_decomposed_dequantize_per_tensor_default_486: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_237, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_237 = None 2025-03-21T20:31:48.7017316Z aten_select_copy_int_62: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_486, 0, 0); quantized_decomposed_dequantize_per_tensor_default_486 = None 2025-03-21T20:31:48.7018372Z quantized_decomposed_quantize_per_tensor_default_238: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_62, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_62 = None 2025-03-21T20:31:48.7019684Z quantized_decomposed_dequantize_per_tensor_default_487: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_238, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_238 = None 2025-03-21T20:31:48.7020524Z aten_select_copy_int_63: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_487, 0, 7); quantized_decomposed_dequantize_per_tensor_default_487 = None 2025-03-21T20:31:48.7021555Z quantized_decomposed_quantize_per_tensor_default_239: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_63, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_63 = None 2025-03-21T20:31:48.7021665Z 2025-03-21T20:31:48.7022711Z # File: .50:1150 in forward, code: dequantize_per_tensor_default_389 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_389, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_389 = None 2025-03-21T20:31:48.7024038Z quantized_decomposed_dequantize_per_tensor_default_488: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_239, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_239 = None 2025-03-21T20:31:48.7024137Z 2025-03-21T20:31:48.7024864Z # 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) 2025-03-21T20:31:48.7025768Z aten_permute_copy_default_56: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_443, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_443 = None 2025-03-21T20:31:48.7026901Z quantized_decomposed_quantize_per_tensor_default_240: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_56, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_56 = None 2025-03-21T20:31:48.7028212Z quantized_decomposed_dequantize_per_tensor_default_489: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_240, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_240 = None 2025-03-21T20:31:48.7029060Z aten_select_copy_int_64: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_489, 0, 0); quantized_decomposed_dequantize_per_tensor_default_489 = None 2025-03-21T20:31:48.7030073Z quantized_decomposed_quantize_per_tensor_default_241: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_64, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_64 = None 2025-03-21T20:31:48.7031392Z quantized_decomposed_dequantize_per_tensor_default_490: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_241, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_241 = None 2025-03-21T20:31:48.7032238Z aten_select_copy_int_65: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_490, 0, 8); quantized_decomposed_dequantize_per_tensor_default_490 = None 2025-03-21T20:31:48.7033338Z quantized_decomposed_quantize_per_tensor_default_242: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_65, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_65 = None 2025-03-21T20:31:48.7033437Z 2025-03-21T20:31:48.7034501Z # File: .50:1159 in forward, code: dequantize_per_tensor_default_392 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_392, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_392 = None 2025-03-21T20:31:48.7035846Z quantized_decomposed_dequantize_per_tensor_default_491: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_242, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_242 = None 2025-03-21T20:31:48.7035958Z 2025-03-21T20:31:48.7036675Z # 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) 2025-03-21T20:31:48.7037582Z aten_permute_copy_default_57: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_442, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_442 = None 2025-03-21T20:31:48.7038651Z quantized_decomposed_quantize_per_tensor_default_243: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_57, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_57 = None 2025-03-21T20:31:48.7039983Z quantized_decomposed_dequantize_per_tensor_default_492: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_243, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_243 = None 2025-03-21T20:31:48.7040874Z aten_select_copy_int_66: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_492, 0, 0); quantized_decomposed_dequantize_per_tensor_default_492 = None 2025-03-21T20:31:48.7041909Z quantized_decomposed_quantize_per_tensor_default_244: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_66, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_66 = None 2025-03-21T20:31:48.7043219Z quantized_decomposed_dequantize_per_tensor_default_493: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_244, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_244 = None 2025-03-21T20:31:48.7044056Z aten_select_copy_int_67: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_493, 0, 9); quantized_decomposed_dequantize_per_tensor_default_493 = None 2025-03-21T20:31:48.7045063Z quantized_decomposed_quantize_per_tensor_default_245: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_67, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_67 = None 2025-03-21T20:31:48.7045176Z 2025-03-21T20:31:48.7046251Z # File: .50:1168 in forward, code: dequantize_per_tensor_default_395 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_395, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_395 = None 2025-03-21T20:31:48.7047572Z quantized_decomposed_dequantize_per_tensor_default_494: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_245, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_245 = None 2025-03-21T20:31:48.7047672Z 2025-03-21T20:31:48.7048404Z # 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) 2025-03-21T20:31:48.7049357Z aten_permute_copy_default_58: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_441, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_441 = None 2025-03-21T20:31:48.7050431Z quantized_decomposed_quantize_per_tensor_default_246: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_58, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_58 = None 2025-03-21T20:31:48.7051754Z quantized_decomposed_dequantize_per_tensor_default_495: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_246, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_246 = None 2025-03-21T20:31:48.7052592Z aten_select_copy_int_68: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_495, 0, 0); quantized_decomposed_dequantize_per_tensor_default_495 = None 2025-03-21T20:31:48.7053614Z quantized_decomposed_quantize_per_tensor_default_247: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_68, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_68 = None 2025-03-21T20:31:48.7054971Z quantized_decomposed_dequantize_per_tensor_default_496: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_247, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_247 = None 2025-03-21T20:31:48.7055815Z aten_select_copy_int_69: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_496, 0, 10); quantized_decomposed_dequantize_per_tensor_default_496 = None 2025-03-21T20:31:48.7056820Z quantized_decomposed_quantize_per_tensor_default_248: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_69, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_69 = None 2025-03-21T20:31:48.7056931Z 2025-03-21T20:31:48.7057980Z # File: .50:1177 in forward, code: dequantize_per_tensor_default_398 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_398, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_398 = None 2025-03-21T20:31:48.7059288Z quantized_decomposed_dequantize_per_tensor_default_497: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_248, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_248 = None 2025-03-21T20:31:48.7059385Z 2025-03-21T20:31:48.7060159Z # 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) 2025-03-21T20:31:48.7061056Z aten_permute_copy_default_59: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_440, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_440 = None 2025-03-21T20:31:48.7062132Z quantized_decomposed_quantize_per_tensor_default_249: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_59, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_59 = None 2025-03-21T20:31:48.7063472Z quantized_decomposed_dequantize_per_tensor_default_498: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_249, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_249 = None 2025-03-21T20:31:48.7064320Z aten_select_copy_int_70: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_498, 0, 0); quantized_decomposed_dequantize_per_tensor_default_498 = None 2025-03-21T20:31:48.7065335Z quantized_decomposed_quantize_per_tensor_default_250: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_70, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_70 = None 2025-03-21T20:31:48.7066796Z quantized_decomposed_dequantize_per_tensor_default_499: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_250, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_250 = None 2025-03-21T20:31:48.7067681Z aten_select_copy_int_71: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_499, 0, 11); quantized_decomposed_dequantize_per_tensor_default_499 = None 2025-03-21T20:31:48.7068736Z quantized_decomposed_quantize_per_tensor_default_251: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_71, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_select_copy_int_71 = None 2025-03-21T20:31:48.7068837Z 2025-03-21T20:31:48.7069908Z # File: .50:1186 in forward, code: dequantize_per_tensor_default_401 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_401, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_401 = None 2025-03-21T20:31:48.7071217Z quantized_decomposed_dequantize_per_tensor_default_500: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_251, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_251 = None 2025-03-21T20:31:48.7071334Z 2025-03-21T20:31:48.7072053Z # 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) 2025-03-21T20:31:48.7078450Z aten_cat_default_6: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_467, quantized_decomposed_dequantize_per_tensor_default_470, quantized_decomposed_dequantize_per_tensor_default_473, quantized_decomposed_dequantize_per_tensor_default_476, quantized_decomposed_dequantize_per_tensor_default_479, quantized_decomposed_dequantize_per_tensor_default_482, quantized_decomposed_dequantize_per_tensor_default_485, quantized_decomposed_dequantize_per_tensor_default_488, quantized_decomposed_dequantize_per_tensor_default_491, quantized_decomposed_dequantize_per_tensor_default_494, quantized_decomposed_dequantize_per_tensor_default_497, quantized_decomposed_dequantize_per_tensor_default_500]); quantized_decomposed_dequantize_per_tensor_default_467 = quantized_decomposed_dequantize_per_tensor_default_470 = quantized_decomposed_dequantize_per_tensor_default_473 = quantized_decomposed_dequantize_per_tensor_default_476 = quantized_decomposed_dequantize_per_tensor_default_479 = quantized_decomposed_dequantize_per_tensor_default_482 = quantized_decomposed_dequantize_per_tensor_default_485 = quantized_decomposed_dequantize_per_tensor_default_488 = quantized_decomposed_dequantize_per_tensor_default_491 = quantized_decomposed_dequantize_per_tensor_default_494 = quantized_decomposed_dequantize_per_tensor_default_497 = quantized_decomposed_dequantize_per_tensor_default_500 = None 2025-03-21T20:31:48.7079486Z quantized_decomposed_quantize_per_tensor_default_252: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_6, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_cat_default_6 = None 2025-03-21T20:31:48.7080805Z quantized_decomposed_dequantize_per_tensor_default_501: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_252, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_252 = None 2025-03-21T20:31:48.7081699Z aten_view_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_501, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_501 = None 2025-03-21T20:31:48.7082736Z quantized_decomposed_quantize_per_tensor_default_253: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_27, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_view_copy_default_27 = None 2025-03-21T20:31:48.7082873Z 2025-03-21T20:31:48.7083547Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.7084876Z quantized_decomposed_dequantize_per_tensor_default_502: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_253, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_253 = None 2025-03-21T20:31:48.7084974Z 2025-03-21T20:31:48.7085706Z # 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) 2025-03-21T20:31:48.7086608Z aten_permute_copy_default_60: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_464, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_464 = None 2025-03-21T20:31:48.7087671Z quantized_decomposed_quantize_per_tensor_default_254: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_60, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_60 = None 2025-03-21T20:31:48.7088993Z quantized_decomposed_dequantize_per_tensor_default_503: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_254, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_254 = None 2025-03-21T20:31:48.7089833Z aten_select_copy_int_72: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_503, 0, 0); quantized_decomposed_dequantize_per_tensor_default_503 = None 2025-03-21T20:31:48.7090824Z quantized_decomposed_quantize_per_tensor_default_255: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_72, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_72 = None 2025-03-21T20:31:48.7092160Z quantized_decomposed_dequantize_per_tensor_default_504: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_255, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_255 = None 2025-03-21T20:31:48.7093000Z aten_select_copy_int_73: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_504, 0, 0); quantized_decomposed_dequantize_per_tensor_default_504 = None 2025-03-21T20:31:48.7093998Z quantized_decomposed_quantize_per_tensor_default_256: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_73, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_73 = None 2025-03-21T20:31:48.7094107Z 2025-03-21T20:31:48.7095147Z # File: .50:1201 in forward, code: dequantize_per_tensor_default_406 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_406, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_406 = None 2025-03-21T20:31:48.7096443Z quantized_decomposed_dequantize_per_tensor_default_505: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_256, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_256 = None 2025-03-21T20:31:48.7096570Z 2025-03-21T20:31:48.7097329Z # 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) 2025-03-21T20:31:48.7098226Z aten_permute_copy_default_61: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_463, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_463 = None 2025-03-21T20:31:48.7099283Z quantized_decomposed_quantize_per_tensor_default_257: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_61, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_61 = None 2025-03-21T20:31:48.7100588Z quantized_decomposed_dequantize_per_tensor_default_506: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_257, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_257 = None 2025-03-21T20:31:48.7101424Z aten_select_copy_int_74: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_506, 0, 0); quantized_decomposed_dequantize_per_tensor_default_506 = None 2025-03-21T20:31:48.7102449Z quantized_decomposed_quantize_per_tensor_default_258: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_74, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_74 = None 2025-03-21T20:31:48.7103758Z quantized_decomposed_dequantize_per_tensor_default_507: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_258, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_258 = None 2025-03-21T20:31:48.7104582Z aten_select_copy_int_75: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_507, 0, 1); quantized_decomposed_dequantize_per_tensor_default_507 = None 2025-03-21T20:31:48.7105623Z quantized_decomposed_quantize_per_tensor_default_259: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_75, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_75 = None 2025-03-21T20:31:48.7105723Z 2025-03-21T20:31:48.7106787Z # File: .50:1210 in forward, code: dequantize_per_tensor_default_409 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_409, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_409 = None 2025-03-21T20:31:48.7108079Z quantized_decomposed_dequantize_per_tensor_default_508: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_259, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_259 = None 2025-03-21T20:31:48.7108194Z 2025-03-21T20:31:48.7108913Z # 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) 2025-03-21T20:31:48.7109824Z aten_permute_copy_default_62: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_462, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_462 = None 2025-03-21T20:31:48.7110958Z quantized_decomposed_quantize_per_tensor_default_260: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_62, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_62 = None 2025-03-21T20:31:48.7112264Z quantized_decomposed_dequantize_per_tensor_default_509: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_260, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_260 = None 2025-03-21T20:31:48.7113191Z aten_select_copy_int_76: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_509, 0, 0); quantized_decomposed_dequantize_per_tensor_default_509 = None 2025-03-21T20:31:48.7114206Z quantized_decomposed_quantize_per_tensor_default_261: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_76, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_76 = None 2025-03-21T20:31:48.7115485Z quantized_decomposed_dequantize_per_tensor_default_510: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_261, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_261 = None 2025-03-21T20:31:48.7116358Z aten_select_copy_int_77: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_510, 0, 2); quantized_decomposed_dequantize_per_tensor_default_510 = None 2025-03-21T20:31:48.7117358Z quantized_decomposed_quantize_per_tensor_default_262: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_77, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_77 = None 2025-03-21T20:31:48.7117473Z 2025-03-21T20:31:48.7118510Z # File: .50:1219 in forward, code: dequantize_per_tensor_default_412 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_412, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_412 = None 2025-03-21T20:31:48.7119841Z quantized_decomposed_dequantize_per_tensor_default_511: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_262, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_262 = None 2025-03-21T20:31:48.7119941Z 2025-03-21T20:31:48.7120941Z # 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) 2025-03-21T20:31:48.7121947Z aten_permute_copy_default_63: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_461, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_461 = None 2025-03-21T20:31:48.7123035Z quantized_decomposed_quantize_per_tensor_default_263: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_63, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_63 = None 2025-03-21T20:31:48.7124420Z quantized_decomposed_dequantize_per_tensor_default_512: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_263, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_263 = None 2025-03-21T20:31:48.7125343Z aten_select_copy_int_78: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_512, 0, 0); quantized_decomposed_dequantize_per_tensor_default_512 = None 2025-03-21T20:31:48.7126444Z quantized_decomposed_quantize_per_tensor_default_264: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_78, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_78 = None 2025-03-21T20:31:48.7127836Z quantized_decomposed_dequantize_per_tensor_default_513: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_264, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_264 = None 2025-03-21T20:31:48.7128714Z aten_select_copy_int_79: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_513, 0, 3); quantized_decomposed_dequantize_per_tensor_default_513 = None 2025-03-21T20:31:48.7129792Z quantized_decomposed_quantize_per_tensor_default_265: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_79, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_79 = None 2025-03-21T20:31:48.7129923Z 2025-03-21T20:31:48.7131079Z # File: .50:1228 in forward, code: dequantize_per_tensor_default_415 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_415, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_415 = None 2025-03-21T20:31:48.7132439Z quantized_decomposed_dequantize_per_tensor_default_514: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_265, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_265 = None 2025-03-21T20:31:48.7132645Z 2025-03-21T20:31:48.7133395Z # 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) 2025-03-21T20:31:48.7134400Z aten_permute_copy_default_64: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_460, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_460 = None 2025-03-21T20:31:48.7135460Z quantized_decomposed_quantize_per_tensor_default_266: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_64, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_64 = None 2025-03-21T20:31:48.7136922Z quantized_decomposed_dequantize_per_tensor_default_515: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_266, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_266 = None 2025-03-21T20:31:48.7137793Z aten_select_copy_int_80: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_515, 0, 0); quantized_decomposed_dequantize_per_tensor_default_515 = None 2025-03-21T20:31:48.7138864Z quantized_decomposed_quantize_per_tensor_default_267: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_80, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_80 = None 2025-03-21T20:31:48.7140244Z quantized_decomposed_dequantize_per_tensor_default_516: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_267, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_267 = None 2025-03-21T20:31:48.7141135Z aten_select_copy_int_81: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_516, 0, 4); quantized_decomposed_dequantize_per_tensor_default_516 = None 2025-03-21T20:31:48.7142206Z quantized_decomposed_quantize_per_tensor_default_268: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_81, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_81 = None 2025-03-21T20:31:48.7142403Z 2025-03-21T20:31:48.7143473Z # File: .50:1237 in forward, code: dequantize_per_tensor_default_418 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_418, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_418 = None 2025-03-21T20:31:48.7144840Z quantized_decomposed_dequantize_per_tensor_default_517: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_268, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_268 = None 2025-03-21T20:31:48.7144997Z 2025-03-21T20:31:48.7145822Z # 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) 2025-03-21T20:31:48.7146773Z aten_permute_copy_default_65: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_459, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_459 = None 2025-03-21T20:31:48.7147907Z quantized_decomposed_quantize_per_tensor_default_269: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_65, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_65 = None 2025-03-21T20:31:48.7149266Z quantized_decomposed_dequantize_per_tensor_default_518: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_269, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_269 = None 2025-03-21T20:31:48.7150178Z aten_select_copy_int_82: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_518, 0, 0); quantized_decomposed_dequantize_per_tensor_default_518 = None 2025-03-21T20:31:48.7157353Z quantized_decomposed_quantize_per_tensor_default_270: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_82, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_82 = None 2025-03-21T20:31:48.7158754Z quantized_decomposed_dequantize_per_tensor_default_519: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_270, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_270 = None 2025-03-21T20:31:48.7159693Z aten_select_copy_int_83: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_519, 0, 5); quantized_decomposed_dequantize_per_tensor_default_519 = None 2025-03-21T20:31:48.7160747Z quantized_decomposed_quantize_per_tensor_default_271: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_83, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_83 = None 2025-03-21T20:31:48.7160853Z 2025-03-21T20:31:48.7161912Z # File: .50:1246 in forward, code: dequantize_per_tensor_default_421 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_421, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_421 = None 2025-03-21T20:31:48.7163203Z quantized_decomposed_dequantize_per_tensor_default_520: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_271, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_271 = None 2025-03-21T20:31:48.7163319Z 2025-03-21T20:31:48.7164048Z # 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) 2025-03-21T20:31:48.7164964Z aten_permute_copy_default_66: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_458, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_458 = None 2025-03-21T20:31:48.7166046Z quantized_decomposed_quantize_per_tensor_default_272: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_66, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_66 = None 2025-03-21T20:31:48.7167532Z quantized_decomposed_dequantize_per_tensor_default_521: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_272, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_272 = None 2025-03-21T20:31:48.7168363Z aten_select_copy_int_84: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_521, 0, 0); quantized_decomposed_dequantize_per_tensor_default_521 = None 2025-03-21T20:31:48.7169458Z quantized_decomposed_quantize_per_tensor_default_273: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_84, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_84 = None 2025-03-21T20:31:48.7170751Z quantized_decomposed_dequantize_per_tensor_default_522: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_273, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_273 = None 2025-03-21T20:31:48.7171593Z aten_select_copy_int_85: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_522, 0, 6); quantized_decomposed_dequantize_per_tensor_default_522 = None 2025-03-21T20:31:48.7172588Z quantized_decomposed_quantize_per_tensor_default_274: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_85, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_85 = None 2025-03-21T20:31:48.7172744Z 2025-03-21T20:31:48.7173784Z # File: .50:1255 in forward, code: dequantize_per_tensor_default_424 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_424, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_424 = None 2025-03-21T20:31:48.7175120Z quantized_decomposed_dequantize_per_tensor_default_523: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_274, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_274 = None 2025-03-21T20:31:48.7175220Z 2025-03-21T20:31:48.7175953Z # 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) 2025-03-21T20:31:48.7176856Z aten_permute_copy_default_67: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_457, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_457 = None 2025-03-21T20:31:48.7177915Z quantized_decomposed_quantize_per_tensor_default_275: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_67, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_67 = None 2025-03-21T20:31:48.7179246Z quantized_decomposed_dequantize_per_tensor_default_524: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_275, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_275 = None 2025-03-21T20:31:48.7180093Z aten_select_copy_int_86: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_524, 0, 0); quantized_decomposed_dequantize_per_tensor_default_524 = None 2025-03-21T20:31:48.7181096Z quantized_decomposed_quantize_per_tensor_default_276: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_86, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_86 = None 2025-03-21T20:31:48.7182403Z quantized_decomposed_dequantize_per_tensor_default_525: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_276, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_276 = None 2025-03-21T20:31:48.7183258Z aten_select_copy_int_87: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_525, 0, 7); quantized_decomposed_dequantize_per_tensor_default_525 = None 2025-03-21T20:31:48.7184265Z quantized_decomposed_quantize_per_tensor_default_277: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_87, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_87 = None 2025-03-21T20:31:48.7184366Z 2025-03-21T20:31:48.7185423Z # File: .50:1264 in forward, code: dequantize_per_tensor_default_427 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_427, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_427 = None 2025-03-21T20:31:48.7186722Z quantized_decomposed_dequantize_per_tensor_default_526: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_277, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_277 = None 2025-03-21T20:31:48.7186858Z 2025-03-21T20:31:48.7187576Z # 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) 2025-03-21T20:31:48.7188515Z aten_permute_copy_default_68: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_456, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_456 = None 2025-03-21T20:31:48.7189577Z quantized_decomposed_quantize_per_tensor_default_278: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_68, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_68 = None 2025-03-21T20:31:48.7190895Z quantized_decomposed_dequantize_per_tensor_default_527: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_278, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_278 = None 2025-03-21T20:31:48.7191730Z aten_select_copy_int_88: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_527, 0, 0); quantized_decomposed_dequantize_per_tensor_default_527 = None 2025-03-21T20:31:48.7192753Z quantized_decomposed_quantize_per_tensor_default_279: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_88, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_88 = None 2025-03-21T20:31:48.7194139Z quantized_decomposed_dequantize_per_tensor_default_528: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_279, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_279 = None 2025-03-21T20:31:48.7194969Z aten_select_copy_int_89: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_528, 0, 8); quantized_decomposed_dequantize_per_tensor_default_528 = None 2025-03-21T20:31:48.7195983Z quantized_decomposed_quantize_per_tensor_default_280: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_89, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_89 = None 2025-03-21T20:31:48.7196126Z 2025-03-21T20:31:48.7197183Z # File: .50:1273 in forward, code: dequantize_per_tensor_default_430 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_430, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_430 = None 2025-03-21T20:31:48.7198483Z quantized_decomposed_dequantize_per_tensor_default_529: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_280, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_280 = None 2025-03-21T20:31:48.7198594Z 2025-03-21T20:31:48.7199313Z # 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) 2025-03-21T20:31:48.7200228Z aten_permute_copy_default_69: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_455, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_455 = None 2025-03-21T20:31:48.7201299Z quantized_decomposed_quantize_per_tensor_default_281: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_69, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_69 = None 2025-03-21T20:31:48.7202635Z quantized_decomposed_dequantize_per_tensor_default_530: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_281, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_281 = None 2025-03-21T20:31:48.7203462Z aten_select_copy_int_90: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_530, 0, 0); quantized_decomposed_dequantize_per_tensor_default_530 = None 2025-03-21T20:31:48.7204477Z quantized_decomposed_quantize_per_tensor_default_282: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_90, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_90 = None 2025-03-21T20:31:48.7205767Z quantized_decomposed_dequantize_per_tensor_default_531: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_282, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_282 = None 2025-03-21T20:31:48.7206631Z aten_select_copy_int_91: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_531, 0, 9); quantized_decomposed_dequantize_per_tensor_default_531 = None 2025-03-21T20:31:48.7207628Z quantized_decomposed_quantize_per_tensor_default_283: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_91, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_91 = None 2025-03-21T20:31:48.7207739Z 2025-03-21T20:31:48.7208787Z # File: .50:1282 in forward, code: dequantize_per_tensor_default_433 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_433, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_433 = None 2025-03-21T20:31:48.7210119Z quantized_decomposed_dequantize_per_tensor_default_532: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_283, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_283 = None 2025-03-21T20:31:48.7210218Z 2025-03-21T20:31:48.7210950Z # 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) 2025-03-21T20:31:48.7211853Z aten_permute_copy_default_70: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_454, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_454 = None 2025-03-21T20:31:48.7212917Z quantized_decomposed_quantize_per_tensor_default_284: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_70, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_70 = None 2025-03-21T20:31:48.7214213Z quantized_decomposed_dequantize_per_tensor_default_533: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_284, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_284 = None 2025-03-21T20:31:48.7215107Z aten_select_copy_int_92: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_533, 0, 0); quantized_decomposed_dequantize_per_tensor_default_533 = None 2025-03-21T20:31:48.7216110Z quantized_decomposed_quantize_per_tensor_default_285: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_92, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_92 = None 2025-03-21T20:31:48.7217427Z quantized_decomposed_dequantize_per_tensor_default_534: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_285, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_285 = None 2025-03-21T20:31:48.7218251Z aten_select_copy_int_93: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_534, 0, 10); quantized_decomposed_dequantize_per_tensor_default_534 = None 2025-03-21T20:31:48.7219258Z quantized_decomposed_quantize_per_tensor_default_286: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_93, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_93 = None 2025-03-21T20:31:48.7219357Z 2025-03-21T20:31:48.7220433Z # File: .50:1291 in forward, code: dequantize_per_tensor_default_436 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_436, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_436 = None 2025-03-21T20:31:48.7221725Z quantized_decomposed_dequantize_per_tensor_default_535: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_286, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_286 = None 2025-03-21T20:31:48.7221835Z 2025-03-21T20:31:48.7222557Z # 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) 2025-03-21T20:31:48.7223498Z aten_permute_copy_default_71: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_453, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_453 = None 2025-03-21T20:31:48.7224559Z quantized_decomposed_quantize_per_tensor_default_287: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_71, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_permute_copy_default_71 = None 2025-03-21T20:31:48.7225873Z quantized_decomposed_dequantize_per_tensor_default_536: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_287, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_287 = None 2025-03-21T20:31:48.7226714Z aten_select_copy_int_94: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_536, 0, 0); quantized_decomposed_dequantize_per_tensor_default_536 = None 2025-03-21T20:31:48.7227718Z quantized_decomposed_quantize_per_tensor_default_288: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_94, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_94 = None 2025-03-21T20:31:48.7229066Z quantized_decomposed_dequantize_per_tensor_default_537: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_288, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_288 = None 2025-03-21T20:31:48.7229896Z aten_select_copy_int_95: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_537, 0, 11); quantized_decomposed_dequantize_per_tensor_default_537 = None 2025-03-21T20:31:48.7230901Z quantized_decomposed_quantize_per_tensor_default_289: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_95, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_select_copy_int_95 = None 2025-03-21T20:31:48.7231001Z 2025-03-21T20:31:48.7232052Z # File: .50:1300 in forward, code: dequantize_per_tensor_default_439 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_439, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_439 = None 2025-03-21T20:31:48.7233418Z quantized_decomposed_dequantize_per_tensor_default_538: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_289, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_289 = None 2025-03-21T20:31:48.7233533Z 2025-03-21T20:31:48.7234281Z # 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) 2025-03-21T20:31:48.7240546Z aten_cat_default_7: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_505, quantized_decomposed_dequantize_per_tensor_default_508, quantized_decomposed_dequantize_per_tensor_default_511, quantized_decomposed_dequantize_per_tensor_default_514, quantized_decomposed_dequantize_per_tensor_default_517, quantized_decomposed_dequantize_per_tensor_default_520, quantized_decomposed_dequantize_per_tensor_default_523, quantized_decomposed_dequantize_per_tensor_default_526, quantized_decomposed_dequantize_per_tensor_default_529, quantized_decomposed_dequantize_per_tensor_default_532, quantized_decomposed_dequantize_per_tensor_default_535, quantized_decomposed_dequantize_per_tensor_default_538]); quantized_decomposed_dequantize_per_tensor_default_505 = quantized_decomposed_dequantize_per_tensor_default_508 = quantized_decomposed_dequantize_per_tensor_default_511 = quantized_decomposed_dequantize_per_tensor_default_514 = quantized_decomposed_dequantize_per_tensor_default_517 = quantized_decomposed_dequantize_per_tensor_default_520 = quantized_decomposed_dequantize_per_tensor_default_523 = quantized_decomposed_dequantize_per_tensor_default_526 = quantized_decomposed_dequantize_per_tensor_default_529 = quantized_decomposed_dequantize_per_tensor_default_532 = quantized_decomposed_dequantize_per_tensor_default_535 = quantized_decomposed_dequantize_per_tensor_default_538 = None 2025-03-21T20:31:48.7241567Z quantized_decomposed_quantize_per_tensor_default_290: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_7, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_cat_default_7 = None 2025-03-21T20:31:48.7242865Z quantized_decomposed_dequantize_per_tensor_default_539: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_290, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_290 = None 2025-03-21T20:31:48.7243817Z aten_view_copy_default_28: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_539, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_539 = None 2025-03-21T20:31:48.7244846Z quantized_decomposed_quantize_per_tensor_default_291: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_28, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); aten_view_copy_default_28 = None 2025-03-21T20:31:48.7244964Z 2025-03-21T20:31:48.7246004Z # File: .50:1306 in forward, code: dequantize_per_tensor_default_441 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_441, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantize_per_tensor_default_441 = None 2025-03-21T20:31:48.7247329Z quantized_decomposed_dequantize_per_tensor_default_540: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_291, 8.02720314823091e-05, 34074, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_291 = None 2025-03-21T20:31:48.7247426Z 2025-03-21T20:31:48.7248481Z # File: .50:1307 in forward, code: quantize_per_tensor_default_442 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_441, 8.347312541445717e-05, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_441 = None 2025-03-21T20:31:48.7249815Z quantized_decomposed_quantize_per_tensor_default_292: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_540, 8.347312541445717e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_540 = None 2025-03-21T20:31:48.7249927Z 2025-03-21T20:31:48.7250452Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.7251771Z quantized_decomposed_dequantize_per_tensor_default_541: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_292, 8.347312541445717e-05, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_292 = None 2025-03-21T20:31:48.7251893Z 2025-03-21T20:31:48.7252461Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:48.7253359Z aten_index_tensor_3: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_118, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_118 = None 2025-03-21T20:31:48.7254358Z quantized_decomposed_quantize_per_tensor_default_293: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_3, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_3 = None 2025-03-21T20:31:48.7254457Z 2025-03-21T20:31:48.7255010Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.7256311Z quantized_decomposed_dequantize_per_tensor_default_542: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_293, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_293 = None 2025-03-21T20:31:48.7256447Z 2025-03-21T20:31:48.7257088Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.7258012Z aten_permute_copy_default_72: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_502, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_502 = None 2025-03-21T20:31:48.7259085Z quantized_decomposed_quantize_per_tensor_default_294: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_72, 0.00035046463017351925, 33692, 0, 65535, torch.int32); aten_permute_copy_default_72 = None 2025-03-21T20:31:48.7259182Z 2025-03-21T20:31:48.7260242Z # File: .50:1314 in forward, code: dequantize_per_tensor_default_444 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_444, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantize_per_tensor_default_444 = None 2025-03-21T20:31:48.7261572Z quantized_decomposed_dequantize_per_tensor_default_543: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_294, 0.00035046463017351925, 33692, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_294 = None 2025-03-21T20:31:48.7261670Z 2025-03-21T20:31:48.7262739Z # File: .50:1315 in forward, code: quantize_per_tensor_default_445 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_444, 0.00036035533412359655, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_444 = None 2025-03-21T20:31:48.7264069Z quantized_decomposed_quantize_per_tensor_default_295: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_543, 0.00036035533412359655, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_543 = None 2025-03-21T20:31:48.7264166Z 2025-03-21T20:31:48.7264824Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.7266164Z quantized_decomposed_dequantize_per_tensor_default_544: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_295, 0.00036035533412359655, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_295 = None 2025-03-21T20:31:48.7267229Z aten_expand_copy_default_4: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_438, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_438 = None 2025-03-21T20:31:48.7267872Z 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 2025-03-21T20:31:48.7268765Z aten_expand_copy_default_5: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_544, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_544 = None 2025-03-21T20:31:48.7269419Z 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 2025-03-21T20:31:48.7270149Z 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 2025-03-21T20:31:48.7270787Z 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 2025-03-21T20:31:48.7271852Z quantized_decomposed_quantize_per_tensor_default_296: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_31, 0.003841349622234702, 41763, 0, 65535, torch.int32); aten_view_copy_default_31 = None 2025-03-21T20:31:48.7273270Z quantized_decomposed_dequantize_per_tensor_default_545: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_296, 0.003841349622234702, 41763, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_296 = None 2025-03-21T20:31:48.7274242Z quantized_decomposed_dequantize_per_tensor_default_546: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param150, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param150 = None 2025-03-21T20:31:48.7275540Z aten_mul_tensor_25: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_545, quantized_decomposed_dequantize_per_tensor_default_546); quantized_decomposed_dequantize_per_tensor_default_545 = quantized_decomposed_dequantize_per_tensor_default_546 = None 2025-03-21T20:31:48.7276559Z quantized_decomposed_quantize_per_tensor_default_297: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_25, 0.00048016870277933776, 41763, 0, 65535, torch.int32); aten_mul_tensor_25 = None 2025-03-21T20:31:48.7276673Z 2025-03-21T20:31:48.7277214Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.7278525Z quantized_decomposed_dequantize_per_tensor_default_547: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_297, 0.00048016870277933776, 41763, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_297 = None 2025-03-21T20:31:48.7279839Z aten_add_tensor_7: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_547, quantized_decomposed_dequantize_per_tensor_default_542); quantized_decomposed_dequantize_per_tensor_default_547 = quantized_decomposed_dequantize_per_tensor_default_542 = None 2025-03-21T20:31:48.7280812Z quantized_decomposed_quantize_per_tensor_default_298: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_7, 0.004258564207702875, 62855, 0, 65535, torch.int32); aten_add_tensor_7 = None 2025-03-21T20:31:48.7280913Z 2025-03-21T20:31:48.7281562Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:48.7282854Z quantized_decomposed_dequantize_per_tensor_default_548: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_298, 0.004258564207702875, 62855, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_298 = None 2025-03-21T20:31:48.7283743Z aten__softmax_default_1: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_548, -1, False); quantized_decomposed_dequantize_per_tensor_default_548 = None 2025-03-21T20:31:48.7284767Z quantized_decomposed_quantize_per_tensor_default_299: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_1, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_1 = None 2025-03-21T20:31:48.7284901Z 2025-03-21T20:31:48.7285420Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.7286720Z quantized_decomposed_dequantize_per_tensor_default_549: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_299, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_299 = None 2025-03-21T20:31:48.7287614Z aten_expand_copy_default_6: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_549, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_549 = None 2025-03-21T20:31:48.7288255Z 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 2025-03-21T20:31:48.7289151Z aten_expand_copy_default_7: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_541, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_541 = None 2025-03-21T20:31:48.7289818Z 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 2025-03-21T20:31:48.7290536Z 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 2025-03-21T20:31:48.7291117Z 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 2025-03-21T20:31:48.7292134Z quantized_decomposed_quantize_per_tensor_default_300: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_34, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_view_copy_default_34 = None 2025-03-21T20:31:48.7292269Z 2025-03-21T20:31:48.7292973Z # 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) 2025-03-21T20:31:48.7294284Z quantized_decomposed_dequantize_per_tensor_default_550: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_300, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_300 = None 2025-03-21T20:31:48.7295177Z aten_permute_copy_default_73: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_550, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_550 = None 2025-03-21T20:31:48.7296247Z quantized_decomposed_quantize_per_tensor_default_301: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_73, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_permute_copy_default_73 = None 2025-03-21T20:31:48.7297533Z quantized_decomposed_dequantize_per_tensor_default_551: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_301, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_301 = None 2025-03-21T20:31:48.7298468Z aten_view_copy_default_35: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_551, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_551 = None 2025-03-21T20:31:48.7299488Z quantized_decomposed_quantize_per_tensor_default_302: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_35, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_view_copy_default_35 = None 2025-03-21T20:31:48.7299600Z 2025-03-21T20:31:48.7300187Z # 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) 2025-03-21T20:31:48.7301492Z quantized_decomposed_dequantize_per_tensor_default_552: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_302, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_302 = None 2025-03-21T20:31:48.7302400Z aten_unsqueeze_copy_default_18: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_552, -1); quantized_decomposed_dequantize_per_tensor_default_552 = None 2025-03-21T20:31:48.7303506Z quantized_decomposed_quantize_per_tensor_default_303: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_18, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_unsqueeze_copy_default_18 = None 2025-03-21T20:31:48.7303609Z 2025-03-21T20:31:48.7304079Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.7305377Z quantized_decomposed_dequantize_per_tensor_default_553: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_303, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_303 = None 2025-03-21T20:31:48.7306311Z aten_permute_copy_default_74: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_553, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_553 = None 2025-03-21T20:31:48.7307363Z quantized_decomposed_quantize_per_tensor_default_304: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_74, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); aten_permute_copy_default_74 = None 2025-03-21T20:31:48.7307476Z 2025-03-21T20:31:48.7307887Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.7309192Z quantized_decomposed_dequantize_per_tensor_default_554: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_304, 5.015738497604616e-05, 34187, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_304 = None 2025-03-21T20:31:48.7310645Z aten_convolution_default_10: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_554, quantized_decomposed_dequantize_per_tensor_default_14, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_554 = quantized_decomposed_dequantize_per_tensor_default_14 = None 2025-03-21T20:31:48.7311754Z quantized_decomposed_quantize_per_tensor_default_305: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_10, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); aten_convolution_default_10 = None 2025-03-21T20:31:48.7311853Z 2025-03-21T20:31:48.7312342Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.7313741Z quantized_decomposed_dequantize_per_tensor_default_555: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_305, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_305 = None 2025-03-21T20:31:48.7314652Z aten_permute_copy_default_75: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_555, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_555 = None 2025-03-21T20:31:48.7315704Z quantized_decomposed_quantize_per_tensor_default_306: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_75, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); aten_permute_copy_default_75 = None 2025-03-21T20:31:48.7315817Z 2025-03-21T20:31:48.7316418Z # 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]) 2025-03-21T20:31:48.7317756Z quantized_decomposed_dequantize_per_tensor_default_556: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_306, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_306 = None 2025-03-21T20:31:48.7318610Z aten_squeeze_copy_dims_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_556, [-1]); quantized_decomposed_dequantize_per_tensor_default_556 = None 2025-03-21T20:31:48.7319655Z quantized_decomposed_quantize_per_tensor_default_307: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_18, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); aten_squeeze_copy_dims_18 = None 2025-03-21T20:31:48.7319780Z 2025-03-21T20:31:48.7320211Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.7321506Z quantized_decomposed_dequantize_per_tensor_default_557: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_307, 6.624962406931445e-05, 32697, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_307 = None 2025-03-21T20:31:48.7322791Z aten_add_tensor_8: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_377, quantized_decomposed_dequantize_per_tensor_default_557); quantized_decomposed_dequantize_per_tensor_default_377 = quantized_decomposed_dequantize_per_tensor_default_557 = None 2025-03-21T20:31:48.7323757Z quantized_decomposed_quantize_per_tensor_default_308: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_8, 0.00016923173097893596, 27235, 0, 65535, torch.int32); aten_add_tensor_8 = None 2025-03-21T20:31:48.7323896Z 2025-03-21T20:31:48.7324465Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.7325559Z quantized_decomposed_dequantize_per_tensor_default_558: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_308, 0.00016923173097893596, 27235, 0, 65535, torch.int32) 2025-03-21T20:31:48.7326859Z quantized_decomposed_dequantize_per_tensor_default_559: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_308, 0.00016923173097893596, 27235, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_308 = None 2025-03-21T20:31:48.7327455Z aten_pow_tensor_scalar_3: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_559, 2) 2025-03-21T20:31:48.7327963Z 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 2025-03-21T20:31:48.7328473Z 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 2025-03-21T20:31:48.7328942Z 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 2025-03-21T20:31:48.7329939Z aten_mul_tensor_26: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_559, aten_rsqrt_default_3); quantized_decomposed_dequantize_per_tensor_default_559 = aten_rsqrt_default_3 = None 2025-03-21T20:31:48.7330846Z aten_mul_tensor_27: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_26, quantized_decomposed_dequantize_per_tensor_default_15); aten_mul_tensor_26 = quantized_decomposed_dequantize_per_tensor_default_15 = None 2025-03-21T20:31:48.7331833Z quantized_decomposed_quantize_per_tensor_default_309: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_27, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_mul_tensor_27 = None 2025-03-21T20:31:48.7331933Z 2025-03-21T20:31:48.7332552Z # 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) 2025-03-21T20:31:48.7333597Z quantized_decomposed_dequantize_per_tensor_default_560: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_309, 0.00021398279932327569, 31590, 0, 65535, torch.int32) 2025-03-21T20:31:48.7334909Z quantized_decomposed_dequantize_per_tensor_default_561: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_309, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_309 = None 2025-03-21T20:31:48.7335818Z aten_unsqueeze_copy_default_19: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_561, -1); quantized_decomposed_dequantize_per_tensor_default_561 = None 2025-03-21T20:31:48.7336911Z quantized_decomposed_quantize_per_tensor_default_310: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_19, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_unsqueeze_copy_default_19 = None 2025-03-21T20:31:48.7337036Z 2025-03-21T20:31:48.7337503Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.7338829Z quantized_decomposed_dequantize_per_tensor_default_562: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_310, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_310 = None 2025-03-21T20:31:48.7339733Z aten_permute_copy_default_76: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_562, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_562 = None 2025-03-21T20:31:48.7340796Z quantized_decomposed_quantize_per_tensor_default_311: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_76, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_permute_copy_default_76 = None 2025-03-21T20:31:48.7340907Z 2025-03-21T20:31:48.7341317Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.7342632Z quantized_decomposed_dequantize_per_tensor_default_563: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_311, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_311 = None 2025-03-21T20:31:48.7344109Z aten_convolution_default_11: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_563, quantized_decomposed_dequantize_per_tensor_default_16, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_563 = quantized_decomposed_dequantize_per_tensor_default_16 = None 2025-03-21T20:31:48.7345196Z quantized_decomposed_quantize_per_tensor_default_312: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_11, 0.00014935866056475788, 27447, 0, 65535, torch.int32); aten_convolution_default_11 = None 2025-03-21T20:31:48.7345292Z 2025-03-21T20:31:48.7345777Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.7347115Z quantized_decomposed_dequantize_per_tensor_default_564: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_312, 0.00014935866056475788, 27447, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_312 = None 2025-03-21T20:31:48.7348025Z aten_permute_copy_default_77: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_564, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_564 = None 2025-03-21T20:31:48.7349093Z quantized_decomposed_quantize_per_tensor_default_313: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_77, 0.00014935866056475788, 27447, 0, 65535, torch.int32); aten_permute_copy_default_77 = None 2025-03-21T20:31:48.7349204Z 2025-03-21T20:31:48.7349802Z # 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]) 2025-03-21T20:31:48.7351126Z quantized_decomposed_dequantize_per_tensor_default_565: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_313, 0.00014935866056475788, 27447, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_313 = None 2025-03-21T20:31:48.7352042Z aten_squeeze_copy_dims_19: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_565, [-1]); quantized_decomposed_dequantize_per_tensor_default_565 = None 2025-03-21T20:31:48.7353220Z quantized_decomposed_quantize_per_tensor_default_314: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_19, 0.00014935866056475788, 27447, 0, 65535, torch.int32); aten_squeeze_copy_dims_19 = None 2025-03-21T20:31:48.7353324Z 2025-03-21T20:31:48.7353917Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.7354960Z quantized_decomposed_dequantize_per_tensor_default_566: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_314, 0.00014935866056475788, 27447, 0, 65535, torch.int32) 2025-03-21T20:31:48.7356289Z quantized_decomposed_dequantize_per_tensor_default_567: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_314, 0.00014935866056475788, 27447, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_314 = None 2025-03-21T20:31:48.7357159Z aten_sigmoid_default_1: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_567); quantized_decomposed_dequantize_per_tensor_default_567 = None 2025-03-21T20:31:48.7358150Z quantized_decomposed_quantize_per_tensor_default_315: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_1, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_1 = None 2025-03-21T20:31:48.7359418Z quantized_decomposed_dequantize_per_tensor_default_568: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_315, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_315 = None 2025-03-21T20:31:48.7360736Z aten_mul_tensor_28: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_566, quantized_decomposed_dequantize_per_tensor_default_568); quantized_decomposed_dequantize_per_tensor_default_566 = quantized_decomposed_dequantize_per_tensor_default_568 = None 2025-03-21T20:31:48.7361711Z quantized_decomposed_quantize_per_tensor_default_316: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_28, 9.076054266188294e-05, 3068, 0, 65535, torch.int32); aten_mul_tensor_28 = None 2025-03-21T20:31:48.7363013Z quantized_decomposed_dequantize_per_tensor_default_569: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_316, 9.076054266188294e-05, 3068, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_316 = None 2025-03-21T20:31:48.7363125Z 2025-03-21T20:31:48.7363711Z # 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) 2025-03-21T20:31:48.7364623Z aten_unsqueeze_copy_default_20: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_560, -1); quantized_decomposed_dequantize_per_tensor_default_560 = None 2025-03-21T20:31:48.7365745Z quantized_decomposed_quantize_per_tensor_default_317: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_20, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_unsqueeze_copy_default_20 = None 2025-03-21T20:31:48.7365866Z 2025-03-21T20:31:48.7366335Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.7369763Z quantized_decomposed_dequantize_per_tensor_default_570: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_317, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_317 = None 2025-03-21T20:31:48.7370672Z aten_permute_copy_default_78: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_570, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_570 = None 2025-03-21T20:31:48.7371749Z quantized_decomposed_quantize_per_tensor_default_318: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_78, 0.00021398279932327569, 31590, 0, 65535, torch.int32); aten_permute_copy_default_78 = None 2025-03-21T20:31:48.7371845Z 2025-03-21T20:31:48.7372256Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.7373683Z quantized_decomposed_dequantize_per_tensor_default_571: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_318, 0.00021398279932327569, 31590, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_318 = None 2025-03-21T20:31:48.7375152Z aten_convolution_default_12: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_571, quantized_decomposed_dequantize_per_tensor_default_17, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_571 = quantized_decomposed_dequantize_per_tensor_default_17 = None 2025-03-21T20:31:48.7376218Z quantized_decomposed_quantize_per_tensor_default_319: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_12, 0.00023316948499996215, 31553, 0, 65535, torch.int32); aten_convolution_default_12 = None 2025-03-21T20:31:48.7376366Z 2025-03-21T20:31:48.7376843Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.7378173Z quantized_decomposed_dequantize_per_tensor_default_572: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_319, 0.00023316948499996215, 31553, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_319 = None 2025-03-21T20:31:48.7379070Z aten_permute_copy_default_79: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_572, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_572 = None 2025-03-21T20:31:48.7380151Z quantized_decomposed_quantize_per_tensor_default_320: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_79, 0.00023316948499996215, 31553, 0, 65535, torch.int32); aten_permute_copy_default_79 = None 2025-03-21T20:31:48.7380290Z 2025-03-21T20:31:48.7380905Z # 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]) 2025-03-21T20:31:48.7382258Z quantized_decomposed_dequantize_per_tensor_default_573: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_320, 0.00023316948499996215, 31553, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_320 = None 2025-03-21T20:31:48.7383126Z aten_squeeze_copy_dims_20: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_573, [-1]); quantized_decomposed_dequantize_per_tensor_default_573 = None 2025-03-21T20:31:48.7384162Z quantized_decomposed_quantize_per_tensor_default_321: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_20, 0.00023316948499996215, 31553, 0, 65535, torch.int32); aten_squeeze_copy_dims_20 = None 2025-03-21T20:31:48.7384276Z 2025-03-21T20:31:48.7384856Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.7386183Z quantized_decomposed_dequantize_per_tensor_default_574: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_321, 0.00023316948499996215, 31553, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_321 = None 2025-03-21T20:31:48.7387493Z aten_mul_tensor_29: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_569, quantized_decomposed_dequantize_per_tensor_default_574); quantized_decomposed_dequantize_per_tensor_default_569 = quantized_decomposed_dequantize_per_tensor_default_574 = None 2025-03-21T20:31:48.7388486Z quantized_decomposed_quantize_per_tensor_default_322: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_29, 0.0009241419611498713, 33256, 0, 65535, torch.int32); aten_mul_tensor_29 = None 2025-03-21T20:31:48.7388585Z 2025-03-21T20:31:48.7389179Z # 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) 2025-03-21T20:31:48.7390517Z quantized_decomposed_dequantize_per_tensor_default_575: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_322, 0.0009241419611498713, 33256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_322 = None 2025-03-21T20:31:48.7391440Z aten_unsqueeze_copy_default_21: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_575, -1); quantized_decomposed_dequantize_per_tensor_default_575 = None 2025-03-21T20:31:48.7392518Z quantized_decomposed_quantize_per_tensor_default_323: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_21, 0.0009241419611498713, 33256, 0, 65535, torch.int32); aten_unsqueeze_copy_default_21 = None 2025-03-21T20:31:48.7392630Z 2025-03-21T20:31:48.7393179Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.7394511Z quantized_decomposed_dequantize_per_tensor_default_576: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_323, 0.0009241419611498713, 33256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_323 = None 2025-03-21T20:31:48.7395465Z aten_permute_copy_default_80: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_576, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_576 = None 2025-03-21T20:31:48.7396543Z quantized_decomposed_quantize_per_tensor_default_324: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_80, 0.0009241419611498713, 33256, 0, 65535, torch.int32); aten_permute_copy_default_80 = None 2025-03-21T20:31:48.7396641Z 2025-03-21T20:31:48.7397067Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.7398383Z quantized_decomposed_dequantize_per_tensor_default_577: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_324, 0.0009241419611498713, 33256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_324 = None 2025-03-21T20:31:48.7399845Z aten_convolution_default_13: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_577, quantized_decomposed_dequantize_per_tensor_default_18, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_577 = quantized_decomposed_dequantize_per_tensor_default_18 = None 2025-03-21T20:31:48.7400921Z quantized_decomposed_quantize_per_tensor_default_325: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_13, 0.0008836374618113041, 9331, 0, 65535, torch.int32); aten_convolution_default_13 = None 2025-03-21T20:31:48.7401036Z 2025-03-21T20:31:48.7401507Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.7402818Z quantized_decomposed_dequantize_per_tensor_default_578: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_325, 0.0008836374618113041, 9331, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_325 = None 2025-03-21T20:31:48.7403757Z aten_permute_copy_default_81: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_578, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_578 = None 2025-03-21T20:31:48.7404817Z quantized_decomposed_quantize_per_tensor_default_326: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_81, 0.0008836374618113041, 9331, 0, 65535, torch.int32); aten_permute_copy_default_81 = None 2025-03-21T20:31:48.7404917Z 2025-03-21T20:31:48.7405533Z # 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]) 2025-03-21T20:31:48.7406830Z quantized_decomposed_dequantize_per_tensor_default_579: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_326, 0.0008836374618113041, 9331, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_326 = None 2025-03-21T20:31:48.7407694Z aten_squeeze_copy_dims_21: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_579, [-1]); quantized_decomposed_dequantize_per_tensor_default_579 = None 2025-03-21T20:31:48.7408734Z quantized_decomposed_quantize_per_tensor_default_327: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_21, 0.0008836374618113041, 9331, 0, 65535, torch.int32); aten_squeeze_copy_dims_21 = None 2025-03-21T20:31:48.7408843Z 2025-03-21T20:31:48.7409437Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.7410733Z quantized_decomposed_dequantize_per_tensor_default_580: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_327, 0.0008836374618113041, 9331, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_327 = None 2025-03-21T20:31:48.7412002Z aten_add_tensor_9: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_558, quantized_decomposed_dequantize_per_tensor_default_580); quantized_decomposed_dequantize_per_tensor_default_558 = quantized_decomposed_dequantize_per_tensor_default_580 = None 2025-03-21T20:31:48.7412981Z quantized_decomposed_quantize_per_tensor_default_328: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_9, 0.0010317935375496745, 12458, 0, 65535, torch.int32); aten_add_tensor_9 = None 2025-03-21T20:31:48.7413079Z 2025-03-21T20:31:48.7413507Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.7414573Z quantized_decomposed_dequantize_per_tensor_default_581: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_328, 0.0010317935375496745, 12458, 0, 65535, torch.int32) 2025-03-21T20:31:48.7414685Z 2025-03-21T20:31:48.7415320Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:48.7416622Z quantized_decomposed_dequantize_per_tensor_default_582: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_328, 0.0010317935375496745, 12458, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_328 = None 2025-03-21T20:31:48.7417238Z aten_pow_tensor_scalar_4: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_582, 2) 2025-03-21T20:31:48.7417747Z 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 2025-03-21T20:31:48.7418254Z 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 2025-03-21T20:31:48.7418721Z 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 2025-03-21T20:31:48.7419699Z aten_mul_tensor_30: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_582, aten_rsqrt_default_4); quantized_decomposed_dequantize_per_tensor_default_582 = aten_rsqrt_default_4 = None 2025-03-21T20:31:48.7420612Z aten_mul_tensor_31: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_30, quantized_decomposed_dequantize_per_tensor_default_19); aten_mul_tensor_30 = quantized_decomposed_dequantize_per_tensor_default_19 = None 2025-03-21T20:31:48.7421590Z quantized_decomposed_quantize_per_tensor_default_329: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_31, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_mul_tensor_31 = None 2025-03-21T20:31:48.7421715Z 2025-03-21T20:31:48.7422334Z # 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) 2025-03-21T20:31:48.7423374Z quantized_decomposed_dequantize_per_tensor_default_583: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_329, 0.0003308423620183021, 21627, 0, 65535, torch.int32) 2025-03-21T20:31:48.7424420Z quantized_decomposed_dequantize_per_tensor_default_584: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_329, 0.0003308423620183021, 21627, 0, 65535, torch.int32) 2025-03-21T20:31:48.7425718Z quantized_decomposed_dequantize_per_tensor_default_585: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_329, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_329 = None 2025-03-21T20:31:48.7426641Z aten_unsqueeze_copy_default_22: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_585, -1); quantized_decomposed_dequantize_per_tensor_default_585 = None 2025-03-21T20:31:48.7427754Z quantized_decomposed_quantize_per_tensor_default_330: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_22, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_unsqueeze_copy_default_22 = None 2025-03-21T20:31:48.7427854Z 2025-03-21T20:31:48.7428312Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.7429628Z quantized_decomposed_dequantize_per_tensor_default_586: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_330, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_330 = None 2025-03-21T20:31:48.7430550Z aten_permute_copy_default_82: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_586, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_586 = None 2025-03-21T20:31:48.7431620Z quantized_decomposed_quantize_per_tensor_default_331: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_82, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_permute_copy_default_82 = None 2025-03-21T20:31:48.7431723Z 2025-03-21T20:31:48.7432152Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.7433539Z quantized_decomposed_dequantize_per_tensor_default_587: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_331, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_331 = None 2025-03-21T20:31:48.7435004Z aten_convolution_default_14: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_587, quantized_decomposed_dequantize_per_tensor_default_20, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_587 = quantized_decomposed_dequantize_per_tensor_default_20 = None 2025-03-21T20:31:48.7436138Z quantized_decomposed_quantize_per_tensor_default_332: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_14, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_convolution_default_14 = None 2025-03-21T20:31:48.7436233Z 2025-03-21T20:31:48.7436729Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.7438038Z quantized_decomposed_dequantize_per_tensor_default_588: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_332, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_332 = None 2025-03-21T20:31:48.7438945Z aten_permute_copy_default_83: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_588, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_588 = None 2025-03-21T20:31:48.7440009Z quantized_decomposed_quantize_per_tensor_default_333: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_83, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_permute_copy_default_83 = None 2025-03-21T20:31:48.7440122Z 2025-03-21T20:31:48.7440729Z # 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]) 2025-03-21T20:31:48.7442075Z quantized_decomposed_dequantize_per_tensor_default_589: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_333, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_333 = None 2025-03-21T20:31:48.7442922Z aten_squeeze_copy_dims_22: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_589, [-1]); quantized_decomposed_dequantize_per_tensor_default_589 = None 2025-03-21T20:31:48.7443963Z quantized_decomposed_quantize_per_tensor_default_334: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_22, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_squeeze_copy_dims_22 = None 2025-03-21T20:31:48.7444086Z 2025-03-21T20:31:48.7444681Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.7445989Z quantized_decomposed_dequantize_per_tensor_default_590: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_334, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_334 = None 2025-03-21T20:31:48.7446104Z 2025-03-21T20:31:48.7446682Z # 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) 2025-03-21T20:31:48.7447600Z aten_unsqueeze_copy_default_23: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_584, -1); quantized_decomposed_dequantize_per_tensor_default_584 = None 2025-03-21T20:31:48.7448678Z quantized_decomposed_quantize_per_tensor_default_335: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_23, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_unsqueeze_copy_default_23 = None 2025-03-21T20:31:48.7448816Z 2025-03-21T20:31:48.7449272Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.7450610Z quantized_decomposed_dequantize_per_tensor_default_591: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_335, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_335 = None 2025-03-21T20:31:48.7451511Z aten_permute_copy_default_84: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_591, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_591 = None 2025-03-21T20:31:48.7452581Z quantized_decomposed_quantize_per_tensor_default_336: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_84, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_permute_copy_default_84 = None 2025-03-21T20:31:48.7452680Z 2025-03-21T20:31:48.7453102Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.7454408Z quantized_decomposed_dequantize_per_tensor_default_592: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_336, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_336 = None 2025-03-21T20:31:48.7455905Z aten_convolution_default_15: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_592, quantized_decomposed_dequantize_per_tensor_default_21, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_592 = quantized_decomposed_dequantize_per_tensor_default_21 = None 2025-03-21T20:31:48.7456968Z quantized_decomposed_quantize_per_tensor_default_337: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_15, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_convolution_default_15 = None 2025-03-21T20:31:48.7457101Z 2025-03-21T20:31:48.7457571Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.7458878Z quantized_decomposed_dequantize_per_tensor_default_593: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_337, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_337 = None 2025-03-21T20:31:48.7459770Z aten_permute_copy_default_85: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_593, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_593 = None 2025-03-21T20:31:48.7460844Z quantized_decomposed_quantize_per_tensor_default_338: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_85, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_permute_copy_default_85 = None 2025-03-21T20:31:48.7460943Z 2025-03-21T20:31:48.7461558Z # 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]) 2025-03-21T20:31:48.7462896Z quantized_decomposed_dequantize_per_tensor_default_594: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_338, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_338 = None 2025-03-21T20:31:48.7463777Z aten_squeeze_copy_dims_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_594, [-1]); quantized_decomposed_dequantize_per_tensor_default_594 = None 2025-03-21T20:31:48.7464810Z quantized_decomposed_quantize_per_tensor_default_339: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_23, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_squeeze_copy_dims_23 = None 2025-03-21T20:31:48.7464921Z 2025-03-21T20:31:48.7465516Z # 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) 2025-03-21T20:31:48.7467116Z quantized_decomposed_dequantize_per_tensor_default_595: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_339, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_339 = None 2025-03-21T20:31:48.7467212Z 2025-03-21T20:31:48.7467806Z # 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) 2025-03-21T20:31:48.7468762Z aten_unsqueeze_copy_default_24: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_583, -1); quantized_decomposed_dequantize_per_tensor_default_583 = None 2025-03-21T20:31:48.7469847Z quantized_decomposed_quantize_per_tensor_default_340: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_24, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_unsqueeze_copy_default_24 = None 2025-03-21T20:31:48.7469943Z 2025-03-21T20:31:48.7470409Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.7471760Z quantized_decomposed_dequantize_per_tensor_default_596: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_340, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_340 = None 2025-03-21T20:31:48.7472668Z aten_permute_copy_default_86: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_596, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_596 = None 2025-03-21T20:31:48.7473808Z quantized_decomposed_quantize_per_tensor_default_341: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_86, 0.0003308423620183021, 21627, 0, 65535, torch.int32); aten_permute_copy_default_86 = None 2025-03-21T20:31:48.7473919Z 2025-03-21T20:31:48.7474329Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.7475644Z quantized_decomposed_dequantize_per_tensor_default_597: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_341, 0.0003308423620183021, 21627, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_341 = None 2025-03-21T20:31:48.7477174Z aten_convolution_default_16: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_597, quantized_decomposed_dequantize_per_tensor_default_22, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_597 = quantized_decomposed_dequantize_per_tensor_default_22 = None 2025-03-21T20:31:48.7478240Z quantized_decomposed_quantize_per_tensor_default_342: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_16, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_convolution_default_16 = None 2025-03-21T20:31:48.7478338Z 2025-03-21T20:31:48.7478824Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.7480119Z quantized_decomposed_dequantize_per_tensor_default_598: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_342, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_342 = None 2025-03-21T20:31:48.7481022Z aten_permute_copy_default_87: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_598, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_598 = None 2025-03-21T20:31:48.7482093Z quantized_decomposed_quantize_per_tensor_default_343: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_87, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_87 = None 2025-03-21T20:31:48.7482204Z 2025-03-21T20:31:48.7482807Z # 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]) 2025-03-21T20:31:48.7484115Z quantized_decomposed_dequantize_per_tensor_default_599: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_343, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_343 = None 2025-03-21T20:31:48.7484987Z aten_squeeze_copy_dims_24: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_599, [-1]); quantized_decomposed_dequantize_per_tensor_default_599 = None 2025-03-21T20:31:48.7486022Z quantized_decomposed_quantize_per_tensor_default_344: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_24, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_squeeze_copy_dims_24 = None 2025-03-21T20:31:48.7486122Z 2025-03-21T20:31:48.7486725Z # 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) 2025-03-21T20:31:48.7488023Z quantized_decomposed_dequantize_per_tensor_default_600: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_344, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_344 = None 2025-03-21T20:31:48.7488133Z 2025-03-21T20:31:48.7488712Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.7489591Z aten_view_copy_default_36: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_590, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_590 = None 2025-03-21T20:31:48.7490671Z quantized_decomposed_quantize_per_tensor_default_345: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_36, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_view_copy_default_36 = None 2025-03-21T20:31:48.7490781Z 2025-03-21T20:31:48.7491829Z # File: .50:1474 in forward, code: dequantize_per_tensor_default_496 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_496, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantize_per_tensor_default_496 = None 2025-03-21T20:31:48.7493143Z quantized_decomposed_dequantize_per_tensor_default_601: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_345, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_345 = None 2025-03-21T20:31:48.7493244Z 2025-03-21T20:31:48.7493844Z # 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) 2025-03-21T20:31:48.7494705Z aten_view_copy_default_37: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_595, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_595 = None 2025-03-21T20:31:48.7495766Z quantized_decomposed_quantize_per_tensor_default_346: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_37, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_view_copy_default_37 = None 2025-03-21T20:31:48.7495865Z 2025-03-21T20:31:48.7496923Z # File: .50:1477 in forward, code: dequantize_per_tensor_default_497 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_497, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantize_per_tensor_default_497 = None 2025-03-21T20:31:48.7498225Z quantized_decomposed_dequantize_per_tensor_default_602: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_346, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_346 = None 2025-03-21T20:31:48.7498358Z 2025-03-21T20:31:48.7498945Z # 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) 2025-03-21T20:31:48.7499809Z aten_view_copy_default_38: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_600, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_600 = None 2025-03-21T20:31:48.7500839Z quantized_decomposed_quantize_per_tensor_default_347: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_38, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_view_copy_default_38 = None 2025-03-21T20:31:48.7500937Z 2025-03-21T20:31:48.7501706Z # 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) 2025-03-21T20:31:48.7502990Z quantized_decomposed_dequantize_per_tensor_default_603: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_347, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_347 = None 2025-03-21T20:31:48.7503127Z 2025-03-21T20:31:48.7504013Z # File: .50:1482 in forward, code: quantize_per_tensor_default_499 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_4, 0.00036216730950400233, 19231, 0, 65535, torch.int32); _to_copy_4 = None 2025-03-21T20:31:48.7505326Z quantized_decomposed_quantize_per_tensor_default_348: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_601, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_601 = None 2025-03-21T20:31:48.7505427Z 2025-03-21T20:31:48.7506029Z # 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) 2025-03-21T20:31:48.7507330Z quantized_decomposed_dequantize_per_tensor_default_604: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_348, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_348 = None 2025-03-21T20:31:48.7508806Z aten_view_copy_default_39: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_604, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_604 = None 2025-03-21T20:31:48.7509886Z quantized_decomposed_quantize_per_tensor_default_349: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_39, 0.00036216730950400233, 19231, 0, 65535, torch.int32); aten_view_copy_default_39 = None 2025-03-21T20:31:48.7511208Z quantized_decomposed_dequantize_per_tensor_default_605: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_349, 0.00036216730950400233, 19231, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_349 = None 2025-03-21T20:31:48.7511825Z aten_slice_copy_tensor_8: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_605, 4, 0, 1) 2025-03-21T20:31:48.7512699Z aten_slice_copy_tensor_9: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_605, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_605 = None 2025-03-21T20:31:48.7513398Z 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 2025-03-21T20:31:48.7513977Z 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 2025-03-21T20:31:48.7515020Z quantized_decomposed_quantize_per_tensor_default_350: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_25, 0.0002881281834561378, 24173, 0, 65535, torch.int32); aten_squeeze_copy_dims_25 = None 2025-03-21T20:31:48.7515123Z 2025-03-21T20:31:48.7515657Z # 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 2025-03-21T20:31:48.7516710Z quantized_decomposed_dequantize_per_tensor_default_606: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_350, 0.0002881281834561378, 24173, 0, 65535, torch.int32) 2025-03-21T20:31:48.7516838Z 2025-03-21T20:31:48.7517384Z # 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 2025-03-21T20:31:48.7518718Z quantized_decomposed_dequantize_per_tensor_default_607: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_350, 0.0002881281834561378, 24173, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_350 = None 2025-03-21T20:31:48.7518829Z 2025-03-21T20:31:48.7519417Z # 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) 2025-03-21T20:31:48.7520463Z quantized_decomposed_quantize_per_tensor_default_351: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_26, 0.00034527943353168666, 16967, 0, 65535, torch.int32); aten_squeeze_copy_dims_26 = None 2025-03-21T20:31:48.7520560Z 2025-03-21T20:31:48.7521108Z # 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 2025-03-21T20:31:48.7522149Z quantized_decomposed_dequantize_per_tensor_default_608: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_351, 0.00034527943353168666, 16967, 0, 65535, torch.int32) 2025-03-21T20:31:48.7522260Z 2025-03-21T20:31:48.7522813Z # 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 2025-03-21T20:31:48.7524133Z quantized_decomposed_dequantize_per_tensor_default_609: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_351, 0.00034527943353168666, 16967, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_351 = None 2025-03-21T20:31:48.7524230Z 2025-03-21T20:31:48.7525094Z # File: .50:1497 in forward, code: quantize_per_tensor_default_503 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_5, 0.00037646826240234077, 30723, 0, 65535, torch.int32); _to_copy_5 = None 2025-03-21T20:31:48.7526437Z quantized_decomposed_quantize_per_tensor_default_352: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_602, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_602 = None 2025-03-21T20:31:48.7526548Z 2025-03-21T20:31:48.7527130Z # 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) 2025-03-21T20:31:48.7528446Z quantized_decomposed_dequantize_per_tensor_default_610: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_352, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_352 = None 2025-03-21T20:31:48.7529311Z aten_view_copy_default_40: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_610, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_610 = None 2025-03-21T20:31:48.7530351Z quantized_decomposed_quantize_per_tensor_default_353: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_40, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_view_copy_default_40 = None 2025-03-21T20:31:48.7531698Z quantized_decomposed_dequantize_per_tensor_default_611: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_353, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_353 = None 2025-03-21T20:31:48.7532316Z aten_slice_copy_tensor_10: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_611, 4, 0, 1) 2025-03-21T20:31:48.7533160Z aten_slice_copy_tensor_11: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_611, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_611 = None 2025-03-21T20:31:48.7533764Z 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 2025-03-21T20:31:48.7534353Z 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 2025-03-21T20:31:48.7535397Z quantized_decomposed_quantize_per_tensor_default_354: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_27, 0.00029378890758380294, 23361, 0, 65535, torch.int32); aten_squeeze_copy_dims_27 = None 2025-03-21T20:31:48.7535494Z 2025-03-21T20:31:48.7536067Z # 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 2025-03-21T20:31:48.7537108Z quantized_decomposed_dequantize_per_tensor_default_612: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_354, 0.00029378890758380294, 23361, 0, 65535, torch.int32) 2025-03-21T20:31:48.7537218Z 2025-03-21T20:31:48.7537747Z # 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 2025-03-21T20:31:48.7539082Z quantized_decomposed_dequantize_per_tensor_default_613: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_354, 0.00029378890758380294, 23361, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_354 = None 2025-03-21T20:31:48.7539180Z 2025-03-21T20:31:48.7539767Z # 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) 2025-03-21T20:31:48.7540810Z quantized_decomposed_quantize_per_tensor_default_355: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_28, 0.00037646826240234077, 30723, 0, 65535, torch.int32); aten_squeeze_copy_dims_28 = None 2025-03-21T20:31:48.7540906Z 2025-03-21T20:31:48.7541451Z # 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 2025-03-21T20:31:48.7542500Z quantized_decomposed_dequantize_per_tensor_default_614: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_355, 0.00037646826240234077, 30723, 0, 65535, torch.int32) 2025-03-21T20:31:48.7542634Z 2025-03-21T20:31:48.7543166Z # 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 2025-03-21T20:31:48.7544508Z quantized_decomposed_dequantize_per_tensor_default_615: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_355, 0.00037646826240234077, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_355 = None 2025-03-21T20:31:48.7544606Z 2025-03-21T20:31:48.7545109Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.7545967Z aten_view_copy_default_41: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_160, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_160 = None 2025-03-21T20:31:48.7547004Z quantized_decomposed_quantize_per_tensor_default_356: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_41, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_41 = None 2025-03-21T20:31:48.7547101Z 2025-03-21T20:31:48.7547649Z # 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 2025-03-21T20:31:48.7548698Z quantized_decomposed_dequantize_per_tensor_default_616: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_356, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.7548836Z 2025-03-21T20:31:48.7549365Z # 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 2025-03-21T20:31:48.7550433Z quantized_decomposed_dequantize_per_tensor_default_617: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_356, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.7550532Z 2025-03-21T20:31:48.7551061Z # 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 2025-03-21T20:31:48.7552132Z quantized_decomposed_dequantize_per_tensor_default_618: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_356, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.7552229Z 2025-03-21T20:31:48.7552842Z # 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 2025-03-21T20:31:48.7554138Z quantized_decomposed_dequantize_per_tensor_default_619: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_356, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_356 = None 2025-03-21T20:31:48.7554247Z 2025-03-21T20:31:48.7554735Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.7555604Z aten_view_copy_default_42: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_172, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_172 = None 2025-03-21T20:31:48.7556666Z quantized_decomposed_quantize_per_tensor_default_357: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_42, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_42 = None 2025-03-21T20:31:48.7556778Z 2025-03-21T20:31:48.7557332Z # 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 2025-03-21T20:31:48.7558385Z quantized_decomposed_dequantize_per_tensor_default_620: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_357, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.7558482Z 2025-03-21T20:31:48.7559022Z # 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 2025-03-21T20:31:48.7560063Z quantized_decomposed_dequantize_per_tensor_default_621: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_357, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.7560175Z 2025-03-21T20:31:48.7560705Z # 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 2025-03-21T20:31:48.7561759Z quantized_decomposed_dequantize_per_tensor_default_622: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_357, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.7561856Z 2025-03-21T20:31:48.7562408Z # 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 2025-03-21T20:31:48.7563712Z quantized_decomposed_dequantize_per_tensor_default_623: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_357, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_357 = None 2025-03-21T20:31:48.7563812Z 2025-03-21T20:31:48.7564356Z # 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 2025-03-21T20:31:48.7565655Z aten_mul_tensor_32: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_607, quantized_decomposed_dequantize_per_tensor_default_619); quantized_decomposed_dequantize_per_tensor_default_607 = quantized_decomposed_dequantize_per_tensor_default_619 = None 2025-03-21T20:31:48.7566900Z quantized_decomposed_quantize_per_tensor_default_358: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_32, 0.0002832972095347941, 23707, 0, 65535, torch.int32); aten_mul_tensor_32 = None 2025-03-21T20:31:48.7568203Z quantized_decomposed_dequantize_per_tensor_default_624: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_358, 0.0002832972095347941, 23707, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_358 = None 2025-03-21T20:31:48.7569491Z aten_mul_tensor_33: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_608, quantized_decomposed_dequantize_per_tensor_default_622); quantized_decomposed_dequantize_per_tensor_default_608 = quantized_decomposed_dequantize_per_tensor_default_622 = None 2025-03-21T20:31:48.7570539Z quantized_decomposed_quantize_per_tensor_default_359: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_33, 0.00015349165187217295, 32189, 0, 65535, torch.int32); aten_mul_tensor_33 = None 2025-03-21T20:31:48.7571875Z quantized_decomposed_dequantize_per_tensor_default_625: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_359, 0.00015349165187217295, 32189, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_359 = None 2025-03-21T20:31:48.7573167Z aten_sub_tensor_4: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_624, quantized_decomposed_dequantize_per_tensor_default_625); quantized_decomposed_dequantize_per_tensor_default_624 = quantized_decomposed_dequantize_per_tensor_default_625 = None 2025-03-21T20:31:48.7574126Z quantized_decomposed_quantize_per_tensor_default_360: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_4, 0.000280614010989666, 23955, 0, 65535, torch.int32); aten_sub_tensor_4 = None 2025-03-21T20:31:48.7574239Z 2025-03-21T20:31:48.7575285Z # File: .50:1531 in forward, code: dequantize_per_tensor_default_511 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_511, 0.000280614010989666, 23955, 0, 65535, torch.int32); quantize_per_tensor_default_511 = None 2025-03-21T20:31:48.7576620Z quantized_decomposed_dequantize_per_tensor_default_626: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_360, 0.000280614010989666, 23955, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_360 = None 2025-03-21T20:31:48.7576723Z 2025-03-21T20:31:48.7577269Z # 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 2025-03-21T20:31:48.7578539Z aten_mul_tensor_34: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_606, quantized_decomposed_dequantize_per_tensor_default_623); quantized_decomposed_dequantize_per_tensor_default_606 = quantized_decomposed_dequantize_per_tensor_default_623 = None 2025-03-21T20:31:48.7579547Z quantized_decomposed_quantize_per_tensor_default_361: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_34, 0.00019744332530535758, 33781, 0, 65535, torch.int32); aten_mul_tensor_34 = None 2025-03-21T20:31:48.7580863Z quantized_decomposed_dequantize_per_tensor_default_627: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_361, 0.00019744332530535758, 33781, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_361 = None 2025-03-21T20:31:48.7582139Z aten_mul_tensor_35: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_609, quantized_decomposed_dequantize_per_tensor_default_618); quantized_decomposed_dequantize_per_tensor_default_609 = quantized_decomposed_dequantize_per_tensor_default_618 = None 2025-03-21T20:31:48.7583113Z quantized_decomposed_quantize_per_tensor_default_362: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_35, 0.0003398616099730134, 16524, 0, 65535, torch.int32); aten_mul_tensor_35 = None 2025-03-21T20:31:48.7584426Z quantized_decomposed_dequantize_per_tensor_default_628: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_362, 0.0003398616099730134, 16524, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_362 = None 2025-03-21T20:31:48.7585766Z aten_add_tensor_10: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_627, quantized_decomposed_dequantize_per_tensor_default_628); quantized_decomposed_dequantize_per_tensor_default_627 = quantized_decomposed_dequantize_per_tensor_default_628 = None 2025-03-21T20:31:48.7586741Z quantized_decomposed_quantize_per_tensor_default_363: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_10, 0.0003456322301644832, 18868, 0, 65535, torch.int32); aten_add_tensor_10 = None 2025-03-21T20:31:48.7586837Z 2025-03-21T20:31:48.7587907Z # File: .50:1540 in forward, code: dequantize_per_tensor_default_514 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_514, 0.0003456322301644832, 18868, 0, 65535, torch.int32); quantize_per_tensor_default_514 = None 2025-03-21T20:31:48.7589201Z quantized_decomposed_dequantize_per_tensor_default_629: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_363, 0.0003456322301644832, 18868, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_363 = None 2025-03-21T20:31:48.7589316Z 2025-03-21T20:31:48.7589855Z # 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 2025-03-21T20:31:48.7591179Z aten_mul_tensor_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_613, quantized_decomposed_dequantize_per_tensor_default_617); quantized_decomposed_dequantize_per_tensor_default_613 = quantized_decomposed_dequantize_per_tensor_default_617 = None 2025-03-21T20:31:48.7592149Z quantized_decomposed_quantize_per_tensor_default_364: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_36, 0.0002919230901170522, 23481, 0, 65535, torch.int32); aten_mul_tensor_36 = None 2025-03-21T20:31:48.7593538Z quantized_decomposed_dequantize_per_tensor_default_630: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_364, 0.0002919230901170522, 23481, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_364 = None 2025-03-21T20:31:48.7594852Z aten_mul_tensor_37: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_614, quantized_decomposed_dequantize_per_tensor_default_620); quantized_decomposed_dequantize_per_tensor_default_614 = quantized_decomposed_dequantize_per_tensor_default_620 = None 2025-03-21T20:31:48.7595828Z quantized_decomposed_quantize_per_tensor_default_365: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_37, 0.00021678538178093731, 35772, 0, 65535, torch.int32); aten_mul_tensor_37 = None 2025-03-21T20:31:48.7597142Z quantized_decomposed_dequantize_per_tensor_default_631: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_365, 0.00021678538178093731, 35772, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_365 = None 2025-03-21T20:31:48.7598411Z aten_sub_tensor_5: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_630, quantized_decomposed_dequantize_per_tensor_default_631); quantized_decomposed_dequantize_per_tensor_default_630 = quantized_decomposed_dequantize_per_tensor_default_631 = None 2025-03-21T20:31:48.7599436Z quantized_decomposed_quantize_per_tensor_default_366: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_5, 0.0002932342467829585, 23779, 0, 65535, torch.int32); aten_sub_tensor_5 = None 2025-03-21T20:31:48.7599534Z 2025-03-21T20:31:48.7600599Z # File: .50:1549 in forward, code: dequantize_per_tensor_default_517 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_517, 0.0002932342467829585, 23779, 0, 65535, torch.int32); quantize_per_tensor_default_517 = None 2025-03-21T20:31:48.7601878Z quantized_decomposed_dequantize_per_tensor_default_632: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_366, 0.0002932342467829585, 23779, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_366 = None 2025-03-21T20:31:48.7601987Z 2025-03-21T20:31:48.7602521Z # 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 2025-03-21T20:31:48.7603798Z aten_mul_tensor_38: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_612, quantized_decomposed_dequantize_per_tensor_default_621); quantized_decomposed_dequantize_per_tensor_default_612 = quantized_decomposed_dequantize_per_tensor_default_621 = None 2025-03-21T20:31:48.7604783Z quantized_decomposed_quantize_per_tensor_default_367: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_38, 0.0001832414127420634, 33825, 0, 65535, torch.int32); aten_mul_tensor_38 = None 2025-03-21T20:31:48.7606105Z quantized_decomposed_dequantize_per_tensor_default_633: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_367, 0.0001832414127420634, 33825, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_367 = None 2025-03-21T20:31:48.7607371Z aten_mul_tensor_39: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_615, quantized_decomposed_dequantize_per_tensor_default_616); quantized_decomposed_dequantize_per_tensor_default_615 = quantized_decomposed_dequantize_per_tensor_default_616 = None 2025-03-21T20:31:48.7608389Z quantized_decomposed_quantize_per_tensor_default_368: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_39, 0.0003678293142002076, 31068, 0, 65535, torch.int32); aten_mul_tensor_39 = None 2025-03-21T20:31:48.7609684Z quantized_decomposed_dequantize_per_tensor_default_634: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_368, 0.0003678293142002076, 31068, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_368 = None 2025-03-21T20:31:48.7610959Z aten_add_tensor_11: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_633, quantized_decomposed_dequantize_per_tensor_default_634); quantized_decomposed_dequantize_per_tensor_default_633 = quantized_decomposed_dequantize_per_tensor_default_634 = None 2025-03-21T20:31:48.7611942Z quantized_decomposed_quantize_per_tensor_default_369: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_11, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_add_tensor_11 = None 2025-03-21T20:31:48.7612065Z 2025-03-21T20:31:48.7613144Z # File: .50:1558 in forward, code: dequantize_per_tensor_default_520 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_520, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_520 = None 2025-03-21T20:31:48.7614461Z quantized_decomposed_dequantize_per_tensor_default_635: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_369, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_369 = None 2025-03-21T20:31:48.7614574Z 2025-03-21T20:31:48.7615161Z # 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) 2025-03-21T20:31:48.7616066Z aten_unsqueeze_copy_default_25: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_626, 4); quantized_decomposed_dequantize_per_tensor_default_626 = None 2025-03-21T20:31:48.7616981Z aten_unsqueeze_copy_default_26: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_629, 4); quantized_decomposed_dequantize_per_tensor_default_629 = None 2025-03-21T20:31:48.7617859Z 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 2025-03-21T20:31:48.7618836Z quantized_decomposed_quantize_per_tensor_default_370: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_8, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_cat_default_8 = None 2025-03-21T20:31:48.7620156Z quantized_decomposed_dequantize_per_tensor_default_636: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_370, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_370 = None 2025-03-21T20:31:48.7621041Z aten_view_copy_default_43: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_636, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_636 = None 2025-03-21T20:31:48.7622087Z quantized_decomposed_quantize_per_tensor_default_371: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_43, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_view_copy_default_43 = None 2025-03-21T20:31:48.7622185Z 2025-03-21T20:31:48.7623249Z # File: .50:1564 in forward, code: dequantize_per_tensor_default_522 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_522, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantize_per_tensor_default_522 = None 2025-03-21T20:31:48.7624547Z quantized_decomposed_dequantize_per_tensor_default_637: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_371, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_371 = None 2025-03-21T20:31:48.7624658Z 2025-03-21T20:31:48.7625248Z # 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) 2025-03-21T20:31:48.7626212Z aten_unsqueeze_copy_default_27: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_632, 4); quantized_decomposed_dequantize_per_tensor_default_632 = None 2025-03-21T20:31:48.7627103Z aten_unsqueeze_copy_default_28: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_635, 4); quantized_decomposed_dequantize_per_tensor_default_635 = None 2025-03-21T20:31:48.7627946Z 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 2025-03-21T20:31:48.7628926Z quantized_decomposed_quantize_per_tensor_default_372: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_9, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_cat_default_9 = None 2025-03-21T20:31:48.7630241Z quantized_decomposed_dequantize_per_tensor_default_638: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_372, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_372 = None 2025-03-21T20:31:48.7631119Z aten_view_copy_default_44: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_638, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_638 = None 2025-03-21T20:31:48.7632161Z quantized_decomposed_quantize_per_tensor_default_373: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_44, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_view_copy_default_44 = None 2025-03-21T20:31:48.7632259Z 2025-03-21T20:31:48.7633401Z # File: .50:1570 in forward, code: dequantize_per_tensor_default_524 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_524, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_524 = None 2025-03-21T20:31:48.7634727Z quantized_decomposed_dequantize_per_tensor_default_639: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_373, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_373 = None 2025-03-21T20:31:48.7634837Z 2025-03-21T20:31:48.7635674Z # File: .50:1572 in forward, code: quantize_per_tensor_default_525 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_4, 0.0003486985806375742, 19278, 0, 65535, torch.int32); type_as_4 = None 2025-03-21T20:31:48.7636981Z quantized_decomposed_quantize_per_tensor_default_374: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_637, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_637 = None 2025-03-21T20:31:48.7637080Z 2025-03-21T20:31:48.7637687Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.7638982Z quantized_decomposed_dequantize_per_tensor_default_640: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_374, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_374 = None 2025-03-21T20:31:48.7639122Z 2025-03-21T20:31:48.7639984Z # File: .50:1575 in forward, code: quantize_per_tensor_default_526 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_5, 0.00036907364847138524, 31320, 0, 65535, torch.int32); type_as_5 = None 2025-03-21T20:31:48.7641301Z quantized_decomposed_quantize_per_tensor_default_375: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_639, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_639 = None 2025-03-21T20:31:48.7641404Z 2025-03-21T20:31:48.7642167Z # 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) 2025-03-21T20:31:48.7643467Z quantized_decomposed_dequantize_per_tensor_default_641: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_375, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_375 = None 2025-03-21T20:31:48.7643575Z 2025-03-21T20:31:48.7644165Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.7645096Z aten_permute_copy_default_88: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_640, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_640 = None 2025-03-21T20:31:48.7646157Z quantized_decomposed_quantize_per_tensor_default_376: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_88, 0.0003486985806375742, 19278, 0, 65535, torch.int32); aten_permute_copy_default_88 = None 2025-03-21T20:31:48.7646267Z 2025-03-21T20:31:48.7646918Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.7648239Z quantized_decomposed_dequantize_per_tensor_default_642: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_376, 0.0003486985806375742, 19278, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_376 = None 2025-03-21T20:31:48.7648349Z 2025-03-21T20:31:48.7649095Z # 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) 2025-03-21T20:31:48.7650564Z aten_index_put_default_4: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_119, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_641); quantized_decomposed_dequantize_per_tensor_default_119 = quantized_decomposed_dequantize_per_tensor_default_641 = None 2025-03-21T20:31:48.7651607Z quantized_decomposed_quantize_per_tensor_default_377: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_4, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_index_put_default_4 = None 2025-03-21T20:31:48.7651704Z 2025-03-21T20:31:48.7652578Z # File: .50:1582 in forward, code: dequantize_per_tensor_default_528 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_528, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7653693Z quantized_decomposed_dequantize_per_tensor_default_643: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7653792Z 2025-03-21T20:31:48.7654526Z # 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) 2025-03-21T20:31:48.7655571Z quantized_decomposed_dequantize_per_tensor_default_644: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7656636Z quantized_decomposed_dequantize_per_tensor_default_645: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7657677Z quantized_decomposed_dequantize_per_tensor_default_646: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7658767Z quantized_decomposed_dequantize_per_tensor_default_647: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7659828Z quantized_decomposed_dequantize_per_tensor_default_648: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7660863Z quantized_decomposed_dequantize_per_tensor_default_649: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7661945Z quantized_decomposed_dequantize_per_tensor_default_650: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7662991Z quantized_decomposed_dequantize_per_tensor_default_651: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7664042Z quantized_decomposed_dequantize_per_tensor_default_652: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7665085Z quantized_decomposed_dequantize_per_tensor_default_653: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7666145Z quantized_decomposed_dequantize_per_tensor_default_654: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32) 2025-03-21T20:31:48.7667743Z quantized_decomposed_dequantize_per_tensor_default_655: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_377, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_377 = None 2025-03-21T20:31:48.7667860Z 2025-03-21T20:31:48.7668615Z # 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) 2025-03-21T20:31:48.7670099Z aten_index_put_default_5: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_120, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_603); quantized_decomposed_dequantize_per_tensor_default_120 = quantized_decomposed_dequantize_per_tensor_default_603 = None 2025-03-21T20:31:48.7671122Z quantized_decomposed_quantize_per_tensor_default_378: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_5, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_index_put_default_5 = None 2025-03-21T20:31:48.7671235Z 2025-03-21T20:31:48.7672116Z # File: .50:1597 in forward, code: dequantize_per_tensor_default_529 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_529, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7673294Z quantized_decomposed_dequantize_per_tensor_default_656: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7673395Z 2025-03-21T20:31:48.7674125Z # 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) 2025-03-21T20:31:48.7675171Z quantized_decomposed_dequantize_per_tensor_default_657: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7676266Z quantized_decomposed_dequantize_per_tensor_default_658: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7677303Z quantized_decomposed_dequantize_per_tensor_default_659: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7678359Z quantized_decomposed_dequantize_per_tensor_default_660: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7679384Z quantized_decomposed_dequantize_per_tensor_default_661: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7680438Z quantized_decomposed_dequantize_per_tensor_default_662: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7681542Z quantized_decomposed_dequantize_per_tensor_default_663: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7682600Z quantized_decomposed_dequantize_per_tensor_default_664: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7683648Z quantized_decomposed_dequantize_per_tensor_default_665: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7684708Z quantized_decomposed_dequantize_per_tensor_default_666: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7685770Z quantized_decomposed_dequantize_per_tensor_default_667: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32) 2025-03-21T20:31:48.7687102Z quantized_decomposed_dequantize_per_tensor_default_668: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_378, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_378 = None 2025-03-21T20:31:48.7687220Z 2025-03-21T20:31:48.7687928Z # 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) 2025-03-21T20:31:48.7688840Z aten_permute_copy_default_89: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_655, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_655 = None 2025-03-21T20:31:48.7689930Z quantized_decomposed_quantize_per_tensor_default_379: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_89, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_89 = None 2025-03-21T20:31:48.7691255Z quantized_decomposed_dequantize_per_tensor_default_669: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_379, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_379 = None 2025-03-21T20:31:48.7692089Z aten_select_copy_int_96: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_669, 0, 0); quantized_decomposed_dequantize_per_tensor_default_669 = None 2025-03-21T20:31:48.7693117Z quantized_decomposed_quantize_per_tensor_default_380: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_96, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_96 = None 2025-03-21T20:31:48.7694432Z quantized_decomposed_dequantize_per_tensor_default_670: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_380, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_380 = None 2025-03-21T20:31:48.7695320Z aten_select_copy_int_97: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_670, 0, 0); quantized_decomposed_dequantize_per_tensor_default_670 = None 2025-03-21T20:31:48.7696326Z quantized_decomposed_quantize_per_tensor_default_381: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_97, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_97 = None 2025-03-21T20:31:48.7696441Z 2025-03-21T20:31:48.7697495Z # File: .50:1618 in forward, code: dequantize_per_tensor_default_532 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_532, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_532 = None 2025-03-21T20:31:48.7698812Z quantized_decomposed_dequantize_per_tensor_default_671: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_381, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_381 = None 2025-03-21T20:31:48.7698907Z 2025-03-21T20:31:48.7699641Z # 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) 2025-03-21T20:31:48.7700569Z aten_permute_copy_default_90: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_654, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_654 = None 2025-03-21T20:31:48.7701648Z quantized_decomposed_quantize_per_tensor_default_382: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_90, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_90 = None 2025-03-21T20:31:48.7702963Z quantized_decomposed_dequantize_per_tensor_default_672: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_382, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_382 = None 2025-03-21T20:31:48.7703832Z aten_select_copy_int_98: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_672, 0, 0); quantized_decomposed_dequantize_per_tensor_default_672 = None 2025-03-21T20:31:48.7704839Z quantized_decomposed_quantize_per_tensor_default_383: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_98, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_98 = None 2025-03-21T20:31:48.7706156Z quantized_decomposed_dequantize_per_tensor_default_673: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_383, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_383 = None 2025-03-21T20:31:48.7706982Z aten_select_copy_int_99: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_673, 0, 1); quantized_decomposed_dequantize_per_tensor_default_673 = None 2025-03-21T20:31:48.7708002Z quantized_decomposed_quantize_per_tensor_default_384: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_99, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_99 = None 2025-03-21T20:31:48.7708123Z 2025-03-21T20:31:48.7709627Z # File: .50:1627 in forward, code: dequantize_per_tensor_default_535 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_535, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_535 = None 2025-03-21T20:31:48.7711064Z quantized_decomposed_dequantize_per_tensor_default_674: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_384, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_384 = None 2025-03-21T20:31:48.7711181Z 2025-03-21T20:31:48.7711907Z # 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) 2025-03-21T20:31:48.7712911Z aten_permute_copy_default_91: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_653, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_653 = None 2025-03-21T20:31:48.7713976Z quantized_decomposed_quantize_per_tensor_default_385: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_91, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_91 = None 2025-03-21T20:31:48.7715335Z quantized_decomposed_dequantize_per_tensor_default_675: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_385, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_385 = None 2025-03-21T20:31:48.7716188Z aten_select_copy_int_100: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_675, 0, 0); quantized_decomposed_dequantize_per_tensor_default_675 = None 2025-03-21T20:31:48.7717209Z quantized_decomposed_quantize_per_tensor_default_386: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_100, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_100 = None 2025-03-21T20:31:48.7718566Z quantized_decomposed_dequantize_per_tensor_default_676: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_386, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_386 = None 2025-03-21T20:31:48.7719396Z aten_select_copy_int_101: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_676, 0, 2); quantized_decomposed_dequantize_per_tensor_default_676 = None 2025-03-21T20:31:48.7720426Z quantized_decomposed_quantize_per_tensor_default_387: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_101, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_101 = None 2025-03-21T20:31:48.7720526Z 2025-03-21T20:31:48.7721594Z # File: .50:1636 in forward, code: dequantize_per_tensor_default_538 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_538, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_538 = None 2025-03-21T20:31:48.7722931Z quantized_decomposed_dequantize_per_tensor_default_677: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_387, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_387 = None 2025-03-21T20:31:48.7723044Z 2025-03-21T20:31:48.7723787Z # 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) 2025-03-21T20:31:48.7724709Z aten_permute_copy_default_92: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_652, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_652 = None 2025-03-21T20:31:48.7725782Z quantized_decomposed_quantize_per_tensor_default_388: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_92, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_92 = None 2025-03-21T20:31:48.7727112Z quantized_decomposed_dequantize_per_tensor_default_678: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_388, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_388 = None 2025-03-21T20:31:48.7727947Z aten_select_copy_int_102: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_678, 0, 0); quantized_decomposed_dequantize_per_tensor_default_678 = None 2025-03-21T20:31:48.7729007Z quantized_decomposed_quantize_per_tensor_default_389: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_102, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_102 = None 2025-03-21T20:31:48.7730311Z quantized_decomposed_dequantize_per_tensor_default_679: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_389, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_389 = None 2025-03-21T20:31:48.7731153Z aten_select_copy_int_103: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_679, 0, 3); quantized_decomposed_dequantize_per_tensor_default_679 = None 2025-03-21T20:31:48.7732188Z quantized_decomposed_quantize_per_tensor_default_390: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_103, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_103 = None 2025-03-21T20:31:48.7732301Z 2025-03-21T20:31:48.7733361Z # File: .50:1645 in forward, code: dequantize_per_tensor_default_541 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_541, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_541 = None 2025-03-21T20:31:48.7734695Z quantized_decomposed_dequantize_per_tensor_default_680: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_390, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_390 = None 2025-03-21T20:31:48.7734796Z 2025-03-21T20:31:48.7735529Z # 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) 2025-03-21T20:31:48.7736449Z aten_permute_copy_default_93: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_651, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_651 = None 2025-03-21T20:31:48.7737539Z quantized_decomposed_quantize_per_tensor_default_391: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_93, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_93 = None 2025-03-21T20:31:48.7738864Z quantized_decomposed_dequantize_per_tensor_default_681: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_391, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_391 = None 2025-03-21T20:31:48.7739713Z aten_select_copy_int_104: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_681, 0, 0); quantized_decomposed_dequantize_per_tensor_default_681 = None 2025-03-21T20:31:48.7740737Z quantized_decomposed_quantize_per_tensor_default_392: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_104, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_104 = None 2025-03-21T20:31:48.7742083Z quantized_decomposed_dequantize_per_tensor_default_682: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_392, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_392 = None 2025-03-21T20:31:48.7742909Z aten_select_copy_int_105: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_682, 0, 4); quantized_decomposed_dequantize_per_tensor_default_682 = None 2025-03-21T20:31:48.7743931Z quantized_decomposed_quantize_per_tensor_default_393: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_105, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_105 = None 2025-03-21T20:31:48.7744025Z 2025-03-21T20:31:48.7745107Z # File: .50:1654 in forward, code: dequantize_per_tensor_default_544 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_544, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_544 = None 2025-03-21T20:31:48.7746409Z quantized_decomposed_dequantize_per_tensor_default_683: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_393, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_393 = None 2025-03-21T20:31:48.7746518Z 2025-03-21T20:31:48.7747232Z # 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) 2025-03-21T20:31:48.7748140Z aten_permute_copy_default_94: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_650, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_650 = None 2025-03-21T20:31:48.7749201Z quantized_decomposed_quantize_per_tensor_default_394: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_94, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_94 = None 2025-03-21T20:31:48.7750566Z quantized_decomposed_dequantize_per_tensor_default_684: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_394, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_394 = None 2025-03-21T20:31:48.7751408Z aten_select_copy_int_106: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_684, 0, 0); quantized_decomposed_dequantize_per_tensor_default_684 = None 2025-03-21T20:31:48.7752436Z quantized_decomposed_quantize_per_tensor_default_395: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_106, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_106 = None 2025-03-21T20:31:48.7753871Z quantized_decomposed_dequantize_per_tensor_default_685: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_395, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_395 = None 2025-03-21T20:31:48.7754693Z aten_select_copy_int_107: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_685, 0, 5); quantized_decomposed_dequantize_per_tensor_default_685 = None 2025-03-21T20:31:48.7755754Z quantized_decomposed_quantize_per_tensor_default_396: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_107, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_107 = None 2025-03-21T20:31:48.7755852Z 2025-03-21T20:31:48.7756928Z # File: .50:1663 in forward, code: dequantize_per_tensor_default_547 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_547, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_547 = None 2025-03-21T20:31:48.7758239Z quantized_decomposed_dequantize_per_tensor_default_686: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_396, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_396 = None 2025-03-21T20:31:48.7758376Z 2025-03-21T20:31:48.7759092Z # 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) 2025-03-21T20:31:48.7759993Z aten_permute_copy_default_95: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_649, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_649 = None 2025-03-21T20:31:48.7761057Z quantized_decomposed_quantize_per_tensor_default_397: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_95, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_95 = None 2025-03-21T20:31:48.7762367Z quantized_decomposed_dequantize_per_tensor_default_687: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_397, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_397 = None 2025-03-21T20:31:48.7763205Z aten_select_copy_int_108: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_687, 0, 0); quantized_decomposed_dequantize_per_tensor_default_687 = None 2025-03-21T20:31:48.7764297Z quantized_decomposed_quantize_per_tensor_default_398: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_108, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_108 = None 2025-03-21T20:31:48.7765598Z quantized_decomposed_dequantize_per_tensor_default_688: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_398, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_398 = None 2025-03-21T20:31:48.7766449Z aten_select_copy_int_109: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_688, 0, 6); quantized_decomposed_dequantize_per_tensor_default_688 = None 2025-03-21T20:31:48.7767646Z quantized_decomposed_quantize_per_tensor_default_399: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_109, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_109 = None 2025-03-21T20:31:48.7767764Z 2025-03-21T20:31:48.7768817Z # File: .50:1672 in forward, code: dequantize_per_tensor_default_550 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_550, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_550 = None 2025-03-21T20:31:48.7770194Z quantized_decomposed_dequantize_per_tensor_default_689: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_399, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_399 = None 2025-03-21T20:31:48.7770296Z 2025-03-21T20:31:48.7771033Z # 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) 2025-03-21T20:31:48.7771933Z aten_permute_copy_default_96: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_648, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_648 = None 2025-03-21T20:31:48.7773055Z quantized_decomposed_quantize_per_tensor_default_400: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_96, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_96 = None 2025-03-21T20:31:48.7774357Z quantized_decomposed_dequantize_per_tensor_default_690: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_400, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_400 = None 2025-03-21T20:31:48.7775210Z aten_select_copy_int_110: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_690, 0, 0); quantized_decomposed_dequantize_per_tensor_default_690 = None 2025-03-21T20:31:48.7776230Z quantized_decomposed_quantize_per_tensor_default_401: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_110, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_110 = None 2025-03-21T20:31:48.7777554Z quantized_decomposed_dequantize_per_tensor_default_691: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_401, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_401 = None 2025-03-21T20:31:48.7778462Z aten_select_copy_int_111: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_691, 0, 7); quantized_decomposed_dequantize_per_tensor_default_691 = None 2025-03-21T20:31:48.7779476Z quantized_decomposed_quantize_per_tensor_default_402: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_111, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_111 = None 2025-03-21T20:31:48.7779574Z 2025-03-21T20:31:48.7780644Z # File: .50:1681 in forward, code: dequantize_per_tensor_default_553 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_553, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_553 = None 2025-03-21T20:31:48.7781962Z quantized_decomposed_dequantize_per_tensor_default_692: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_402, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_402 = None 2025-03-21T20:31:48.7782057Z 2025-03-21T20:31:48.7782774Z # 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) 2025-03-21T20:31:48.7783707Z aten_permute_copy_default_97: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_647, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_647 = None 2025-03-21T20:31:48.7784780Z quantized_decomposed_quantize_per_tensor_default_403: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_97, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_97 = None 2025-03-21T20:31:48.7786107Z quantized_decomposed_dequantize_per_tensor_default_693: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_403, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_403 = None 2025-03-21T20:31:48.7786979Z aten_select_copy_int_112: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_693, 0, 0); quantized_decomposed_dequantize_per_tensor_default_693 = None 2025-03-21T20:31:48.7788002Z quantized_decomposed_quantize_per_tensor_default_404: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_112, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_112 = None 2025-03-21T20:31:48.7789326Z quantized_decomposed_dequantize_per_tensor_default_694: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_404, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_404 = None 2025-03-21T20:31:48.7790156Z aten_select_copy_int_113: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_694, 0, 8); quantized_decomposed_dequantize_per_tensor_default_694 = None 2025-03-21T20:31:48.7791191Z quantized_decomposed_quantize_per_tensor_default_405: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_113, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_113 = None 2025-03-21T20:31:48.7791318Z 2025-03-21T20:31:48.7792401Z # File: .50:1690 in forward, code: dequantize_per_tensor_default_556 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_556, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_556 = None 2025-03-21T20:31:48.7794003Z quantized_decomposed_dequantize_per_tensor_default_695: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_405, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_405 = None 2025-03-21T20:31:48.7794122Z 2025-03-21T20:31:48.7794842Z # 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) 2025-03-21T20:31:48.7795763Z aten_permute_copy_default_98: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_646, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_646 = None 2025-03-21T20:31:48.7796833Z quantized_decomposed_quantize_per_tensor_default_406: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_98, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_98 = None 2025-03-21T20:31:48.7798200Z quantized_decomposed_dequantize_per_tensor_default_696: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_406, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_406 = None 2025-03-21T20:31:48.7799040Z aten_select_copy_int_114: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_696, 0, 0); quantized_decomposed_dequantize_per_tensor_default_696 = None 2025-03-21T20:31:48.7800078Z quantized_decomposed_quantize_per_tensor_default_407: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_114, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_114 = None 2025-03-21T20:31:48.7801408Z quantized_decomposed_dequantize_per_tensor_default_697: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_407, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_407 = None 2025-03-21T20:31:48.7802250Z aten_select_copy_int_115: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_697, 0, 9); quantized_decomposed_dequantize_per_tensor_default_697 = None 2025-03-21T20:31:48.7803260Z quantized_decomposed_quantize_per_tensor_default_408: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_115, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_115 = None 2025-03-21T20:31:48.7803371Z 2025-03-21T20:31:48.7804426Z # File: .50:1699 in forward, code: dequantize_per_tensor_default_559 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_559, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_559 = None 2025-03-21T20:31:48.7805794Z quantized_decomposed_dequantize_per_tensor_default_698: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_408, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_408 = None 2025-03-21T20:31:48.7805914Z 2025-03-21T20:31:48.7806646Z # 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) 2025-03-21T20:31:48.7807556Z aten_permute_copy_default_99: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_645, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_645 = None 2025-03-21T20:31:48.7808633Z quantized_decomposed_quantize_per_tensor_default_409: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_99, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_99 = None 2025-03-21T20:31:48.7809936Z quantized_decomposed_dequantize_per_tensor_default_699: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_409, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_409 = None 2025-03-21T20:31:48.7810780Z aten_select_copy_int_116: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_699, 0, 0); quantized_decomposed_dequantize_per_tensor_default_699 = None 2025-03-21T20:31:48.7811822Z quantized_decomposed_quantize_per_tensor_default_410: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_116, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_116 = None 2025-03-21T20:31:48.7813140Z quantized_decomposed_dequantize_per_tensor_default_700: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_410, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_410 = None 2025-03-21T20:31:48.7813989Z aten_select_copy_int_117: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_700, 0, 10); quantized_decomposed_dequantize_per_tensor_default_700 = None 2025-03-21T20:31:48.7815045Z quantized_decomposed_quantize_per_tensor_default_411: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_117, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_117 = None 2025-03-21T20:31:48.7815158Z 2025-03-21T20:31:48.7816207Z # File: .50:1708 in forward, code: dequantize_per_tensor_default_562 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_562, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_562 = None 2025-03-21T20:31:48.7817521Z quantized_decomposed_dequantize_per_tensor_default_701: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_411, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_411 = None 2025-03-21T20:31:48.7817620Z 2025-03-21T20:31:48.7818338Z # 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) 2025-03-21T20:31:48.7819282Z aten_permute_copy_default_100: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_644, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_644 = None 2025-03-21T20:31:48.7820390Z quantized_decomposed_quantize_per_tensor_default_412: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_100, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_100 = None 2025-03-21T20:31:48.7821713Z quantized_decomposed_dequantize_per_tensor_default_702: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_412, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_412 = None 2025-03-21T20:31:48.7822566Z aten_select_copy_int_118: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_702, 0, 0); quantized_decomposed_dequantize_per_tensor_default_702 = None 2025-03-21T20:31:48.7823585Z quantized_decomposed_quantize_per_tensor_default_413: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_118, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_118 = None 2025-03-21T20:31:48.7824932Z quantized_decomposed_dequantize_per_tensor_default_703: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_413, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_413 = None 2025-03-21T20:31:48.7825762Z aten_select_copy_int_119: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_703, 0, 11); quantized_decomposed_dequantize_per_tensor_default_703 = None 2025-03-21T20:31:48.7826791Z quantized_decomposed_quantize_per_tensor_default_414: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_119, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_select_copy_int_119 = None 2025-03-21T20:31:48.7826887Z 2025-03-21T20:31:48.7827975Z # File: .50:1717 in forward, code: dequantize_per_tensor_default_565 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_565, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_565 = None 2025-03-21T20:31:48.7829274Z quantized_decomposed_dequantize_per_tensor_default_704: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_414, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_414 = None 2025-03-21T20:31:48.7829387Z 2025-03-21T20:31:48.7830105Z # 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) 2025-03-21T20:31:48.7836403Z aten_cat_default_10: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_671, quantized_decomposed_dequantize_per_tensor_default_674, quantized_decomposed_dequantize_per_tensor_default_677, quantized_decomposed_dequantize_per_tensor_default_680, quantized_decomposed_dequantize_per_tensor_default_683, quantized_decomposed_dequantize_per_tensor_default_686, quantized_decomposed_dequantize_per_tensor_default_689, quantized_decomposed_dequantize_per_tensor_default_692, quantized_decomposed_dequantize_per_tensor_default_695, quantized_decomposed_dequantize_per_tensor_default_698, quantized_decomposed_dequantize_per_tensor_default_701, quantized_decomposed_dequantize_per_tensor_default_704]); quantized_decomposed_dequantize_per_tensor_default_671 = quantized_decomposed_dequantize_per_tensor_default_674 = quantized_decomposed_dequantize_per_tensor_default_677 = quantized_decomposed_dequantize_per_tensor_default_680 = quantized_decomposed_dequantize_per_tensor_default_683 = quantized_decomposed_dequantize_per_tensor_default_686 = quantized_decomposed_dequantize_per_tensor_default_689 = quantized_decomposed_dequantize_per_tensor_default_692 = quantized_decomposed_dequantize_per_tensor_default_695 = quantized_decomposed_dequantize_per_tensor_default_698 = quantized_decomposed_dequantize_per_tensor_default_701 = quantized_decomposed_dequantize_per_tensor_default_704 = None 2025-03-21T20:31:48.7837442Z quantized_decomposed_quantize_per_tensor_default_415: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_10, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_cat_default_10 = None 2025-03-21T20:31:48.7838751Z quantized_decomposed_dequantize_per_tensor_default_705: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_415, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_415 = None 2025-03-21T20:31:48.7839638Z aten_view_copy_default_45: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_705, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_705 = None 2025-03-21T20:31:48.7840693Z quantized_decomposed_quantize_per_tensor_default_416: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_45, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_view_copy_default_45 = None 2025-03-21T20:31:48.7840807Z 2025-03-21T20:31:48.7841461Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.7842781Z quantized_decomposed_dequantize_per_tensor_default_706: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_416, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_416 = None 2025-03-21T20:31:48.7842902Z 2025-03-21T20:31:48.7843636Z # 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) 2025-03-21T20:31:48.7844540Z aten_permute_copy_default_101: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_668, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_668 = None 2025-03-21T20:31:48.7845612Z quantized_decomposed_quantize_per_tensor_default_417: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_101, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_101 = None 2025-03-21T20:31:48.7846905Z quantized_decomposed_dequantize_per_tensor_default_707: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_417, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_417 = None 2025-03-21T20:31:48.7847780Z aten_select_copy_int_120: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_707, 0, 0); quantized_decomposed_dequantize_per_tensor_default_707 = None 2025-03-21T20:31:48.7848818Z quantized_decomposed_quantize_per_tensor_default_418: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_120, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_120 = None 2025-03-21T20:31:48.7850135Z quantized_decomposed_dequantize_per_tensor_default_708: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_418, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_418 = None 2025-03-21T20:31:48.7850962Z aten_select_copy_int_121: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_708, 0, 0); quantized_decomposed_dequantize_per_tensor_default_708 = None 2025-03-21T20:31:48.7851985Z quantized_decomposed_quantize_per_tensor_default_419: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_121, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_121 = None 2025-03-21T20:31:48.7852083Z 2025-03-21T20:31:48.7853140Z # File: .50:1732 in forward, code: dequantize_per_tensor_default_570 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_570, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_570 = None 2025-03-21T20:31:48.7854460Z quantized_decomposed_dequantize_per_tensor_default_709: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_419, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_419 = None 2025-03-21T20:31:48.7854576Z 2025-03-21T20:31:48.7855299Z # 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) 2025-03-21T20:31:48.7856209Z aten_permute_copy_default_102: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_667, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_667 = None 2025-03-21T20:31:48.7857295Z quantized_decomposed_quantize_per_tensor_default_420: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_102, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_102 = None 2025-03-21T20:31:48.7858606Z quantized_decomposed_dequantize_per_tensor_default_710: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_420, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_420 = None 2025-03-21T20:31:48.7859454Z aten_select_copy_int_122: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_710, 0, 0); quantized_decomposed_dequantize_per_tensor_default_710 = None 2025-03-21T20:31:48.7860473Z quantized_decomposed_quantize_per_tensor_default_421: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_122, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_122 = None 2025-03-21T20:31:48.7861807Z quantized_decomposed_dequantize_per_tensor_default_711: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_421, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_421 = None 2025-03-21T20:31:48.7862654Z aten_select_copy_int_123: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_711, 0, 1); quantized_decomposed_dequantize_per_tensor_default_711 = None 2025-03-21T20:31:48.7863678Z quantized_decomposed_quantize_per_tensor_default_422: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_123, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_123 = None 2025-03-21T20:31:48.7863777Z 2025-03-21T20:31:48.7864828Z # File: .50:1741 in forward, code: dequantize_per_tensor_default_573 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_573, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_573 = None 2025-03-21T20:31:48.7866126Z quantized_decomposed_dequantize_per_tensor_default_712: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_422, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_422 = None 2025-03-21T20:31:48.7866239Z 2025-03-21T20:31:48.7867199Z # 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) 2025-03-21T20:31:48.7868124Z aten_permute_copy_default_103: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_666, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_666 = None 2025-03-21T20:31:48.7869200Z quantized_decomposed_quantize_per_tensor_default_423: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_103, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_103 = None 2025-03-21T20:31:48.7870520Z quantized_decomposed_dequantize_per_tensor_default_713: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_423, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_423 = None 2025-03-21T20:31:48.7871390Z aten_select_copy_int_124: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_713, 0, 0); quantized_decomposed_dequantize_per_tensor_default_713 = None 2025-03-21T20:31:48.7872429Z quantized_decomposed_quantize_per_tensor_default_424: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_124, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_124 = None 2025-03-21T20:31:48.7873806Z quantized_decomposed_dequantize_per_tensor_default_714: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_424, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_424 = None 2025-03-21T20:31:48.7874652Z aten_select_copy_int_125: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_714, 0, 2); quantized_decomposed_dequantize_per_tensor_default_714 = None 2025-03-21T20:31:48.7875700Z quantized_decomposed_quantize_per_tensor_default_425: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_125, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_125 = None 2025-03-21T20:31:48.7875858Z 2025-03-21T20:31:48.7876900Z # File: .50:1750 in forward, code: dequantize_per_tensor_default_576 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_576, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_576 = None 2025-03-21T20:31:48.7878204Z quantized_decomposed_dequantize_per_tensor_default_715: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_425, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_425 = None 2025-03-21T20:31:48.7878305Z 2025-03-21T20:31:48.7879040Z # 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) 2025-03-21T20:31:48.7879945Z aten_permute_copy_default_104: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_665, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_665 = None 2025-03-21T20:31:48.7881056Z quantized_decomposed_quantize_per_tensor_default_426: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_104, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_104 = None 2025-03-21T20:31:48.7882346Z quantized_decomposed_dequantize_per_tensor_default_716: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_426, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_426 = None 2025-03-21T20:31:48.7883196Z aten_select_copy_int_126: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_716, 0, 0); quantized_decomposed_dequantize_per_tensor_default_716 = None 2025-03-21T20:31:48.7884226Z quantized_decomposed_quantize_per_tensor_default_427: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_126, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_126 = None 2025-03-21T20:31:48.7885535Z quantized_decomposed_dequantize_per_tensor_default_717: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_427, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_427 = None 2025-03-21T20:31:48.7886383Z aten_select_copy_int_127: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_717, 0, 3); quantized_decomposed_dequantize_per_tensor_default_717 = None 2025-03-21T20:31:48.7887392Z quantized_decomposed_quantize_per_tensor_default_428: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_127, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_127 = None 2025-03-21T20:31:48.7887509Z 2025-03-21T20:31:48.7888558Z # File: .50:1759 in forward, code: dequantize_per_tensor_default_579 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_579, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_579 = None 2025-03-21T20:31:48.7889926Z quantized_decomposed_dequantize_per_tensor_default_718: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_428, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_428 = None 2025-03-21T20:31:48.7890029Z 2025-03-21T20:31:48.7890754Z # 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) 2025-03-21T20:31:48.7891682Z aten_permute_copy_default_105: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_664, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_664 = None 2025-03-21T20:31:48.7892748Z quantized_decomposed_quantize_per_tensor_default_429: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_105, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_105 = None 2025-03-21T20:31:48.7894059Z quantized_decomposed_dequantize_per_tensor_default_719: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_429, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_429 = None 2025-03-21T20:31:48.7894935Z aten_select_copy_int_128: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_719, 0, 0); quantized_decomposed_dequantize_per_tensor_default_719 = None 2025-03-21T20:31:48.7895953Z quantized_decomposed_quantize_per_tensor_default_430: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_128, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_128 = None 2025-03-21T20:31:48.7897257Z quantized_decomposed_dequantize_per_tensor_default_720: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_430, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_430 = None 2025-03-21T20:31:48.7898113Z aten_select_copy_int_129: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_720, 0, 4); quantized_decomposed_dequantize_per_tensor_default_720 = None 2025-03-21T20:31:48.7899129Z quantized_decomposed_quantize_per_tensor_default_431: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_129, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_129 = None 2025-03-21T20:31:48.7899228Z 2025-03-21T20:31:48.7900290Z # File: .50:1768 in forward, code: dequantize_per_tensor_default_582 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_582, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_582 = None 2025-03-21T20:31:48.7901590Z quantized_decomposed_dequantize_per_tensor_default_721: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_431, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_431 = None 2025-03-21T20:31:48.7901700Z 2025-03-21T20:31:48.7902446Z # 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) 2025-03-21T20:31:48.7903385Z aten_permute_copy_default_106: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_663, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_663 = None 2025-03-21T20:31:48.7904448Z quantized_decomposed_quantize_per_tensor_default_432: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_106, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_106 = None 2025-03-21T20:31:48.7905761Z quantized_decomposed_dequantize_per_tensor_default_722: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_432, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_432 = None 2025-03-21T20:31:48.7906595Z aten_select_copy_int_130: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_722, 0, 0); quantized_decomposed_dequantize_per_tensor_default_722 = None 2025-03-21T20:31:48.7907608Z quantized_decomposed_quantize_per_tensor_default_433: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_130, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_130 = None 2025-03-21T20:31:48.7908927Z quantized_decomposed_dequantize_per_tensor_default_723: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_433, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_433 = None 2025-03-21T20:31:48.7909771Z aten_select_copy_int_131: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_723, 0, 5); quantized_decomposed_dequantize_per_tensor_default_723 = None 2025-03-21T20:31:48.7910780Z quantized_decomposed_quantize_per_tensor_default_434: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_131, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_131 = None 2025-03-21T20:31:48.7910917Z 2025-03-21T20:31:48.7911951Z # File: .50:1777 in forward, code: dequantize_per_tensor_default_585 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_585, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_585 = None 2025-03-21T20:31:48.7913327Z quantized_decomposed_dequantize_per_tensor_default_724: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_434, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_434 = None 2025-03-21T20:31:48.7913426Z 2025-03-21T20:31:48.7914159Z # 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) 2025-03-21T20:31:48.7915075Z aten_permute_copy_default_107: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_662, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_662 = None 2025-03-21T20:31:48.7916147Z quantized_decomposed_quantize_per_tensor_default_435: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_107, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_107 = None 2025-03-21T20:31:48.7917506Z quantized_decomposed_dequantize_per_tensor_default_725: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_435, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_435 = None 2025-03-21T20:31:48.7918354Z aten_select_copy_int_132: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_725, 0, 0); quantized_decomposed_dequantize_per_tensor_default_725 = None 2025-03-21T20:31:48.7919368Z quantized_decomposed_quantize_per_tensor_default_436: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_132, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_132 = None 2025-03-21T20:31:48.7920682Z quantized_decomposed_dequantize_per_tensor_default_726: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_436, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_436 = None 2025-03-21T20:31:48.7921528Z aten_select_copy_int_133: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_726, 0, 6); quantized_decomposed_dequantize_per_tensor_default_726 = None 2025-03-21T20:31:48.7922561Z quantized_decomposed_quantize_per_tensor_default_437: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_133, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_133 = None 2025-03-21T20:31:48.7922676Z 2025-03-21T20:31:48.7923719Z # File: .50:1786 in forward, code: dequantize_per_tensor_default_588 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_588, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_588 = None 2025-03-21T20:31:48.7925021Z quantized_decomposed_dequantize_per_tensor_default_727: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_437, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_437 = None 2025-03-21T20:31:48.7925142Z 2025-03-21T20:31:48.7925863Z # 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) 2025-03-21T20:31:48.7926782Z aten_permute_copy_default_108: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_661, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_661 = None 2025-03-21T20:31:48.7927861Z quantized_decomposed_quantize_per_tensor_default_438: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_108, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_108 = None 2025-03-21T20:31:48.7929165Z quantized_decomposed_dequantize_per_tensor_default_728: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_438, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_438 = None 2025-03-21T20:31:48.7930037Z aten_select_copy_int_134: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_728, 0, 0); quantized_decomposed_dequantize_per_tensor_default_728 = None 2025-03-21T20:31:48.7931075Z quantized_decomposed_quantize_per_tensor_default_439: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_134, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_134 = None 2025-03-21T20:31:48.7932397Z quantized_decomposed_dequantize_per_tensor_default_729: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_439, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_439 = None 2025-03-21T20:31:48.7933219Z aten_select_copy_int_135: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_729, 0, 7); quantized_decomposed_dequantize_per_tensor_default_729 = None 2025-03-21T20:31:48.7934238Z quantized_decomposed_quantize_per_tensor_default_440: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_135, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_135 = None 2025-03-21T20:31:48.7934334Z 2025-03-21T20:31:48.7935392Z # File: .50:1795 in forward, code: dequantize_per_tensor_default_591 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_591, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_591 = None 2025-03-21T20:31:48.7936695Z quantized_decomposed_dequantize_per_tensor_default_730: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_440, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_440 = None 2025-03-21T20:31:48.7936807Z 2025-03-21T20:31:48.7937526Z # 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) 2025-03-21T20:31:48.7938441Z aten_permute_copy_default_109: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_660, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_660 = None 2025-03-21T20:31:48.7939522Z quantized_decomposed_quantize_per_tensor_default_441: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_109, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_109 = None 2025-03-21T20:31:48.7940835Z quantized_decomposed_dequantize_per_tensor_default_731: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_441, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_441 = None 2025-03-21T20:31:48.7941663Z aten_select_copy_int_136: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_731, 0, 0); quantized_decomposed_dequantize_per_tensor_default_731 = None 2025-03-21T20:31:48.7942698Z quantized_decomposed_quantize_per_tensor_default_442: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_136, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_136 = None 2025-03-21T20:31:48.7944005Z quantized_decomposed_dequantize_per_tensor_default_732: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_442, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_442 = None 2025-03-21T20:31:48.7944872Z aten_select_copy_int_137: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_732, 0, 8); quantized_decomposed_dequantize_per_tensor_default_732 = None 2025-03-21T20:31:48.7945877Z quantized_decomposed_quantize_per_tensor_default_443: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_137, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_137 = None 2025-03-21T20:31:48.7945990Z 2025-03-21T20:31:48.7947040Z # File: .50:1804 in forward, code: dequantize_per_tensor_default_594 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_594, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_594 = None 2025-03-21T20:31:48.7948340Z quantized_decomposed_dequantize_per_tensor_default_733: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_443, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_443 = None 2025-03-21T20:31:48.7948441Z 2025-03-21T20:31:48.7949199Z # 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) 2025-03-21T20:31:48.7950106Z aten_permute_copy_default_110: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_659, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_659 = None 2025-03-21T20:31:48.7951195Z quantized_decomposed_quantize_per_tensor_default_444: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_110, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_110 = None 2025-03-21T20:31:48.7952493Z quantized_decomposed_dequantize_per_tensor_default_734: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_444, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_444 = None 2025-03-21T20:31:48.7953477Z aten_select_copy_int_138: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_734, 0, 0); quantized_decomposed_dequantize_per_tensor_default_734 = None 2025-03-21T20:31:48.7954494Z quantized_decomposed_quantize_per_tensor_default_445: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_138, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_138 = None 2025-03-21T20:31:48.7955809Z quantized_decomposed_dequantize_per_tensor_default_735: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_445, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_445 = None 2025-03-21T20:31:48.7956660Z aten_select_copy_int_139: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_735, 0, 9); quantized_decomposed_dequantize_per_tensor_default_735 = None 2025-03-21T20:31:48.7957700Z quantized_decomposed_quantize_per_tensor_default_446: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_139, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_139 = None 2025-03-21T20:31:48.7957839Z 2025-03-21T20:31:48.7958883Z # File: .50:1813 in forward, code: dequantize_per_tensor_default_597 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_597, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_597 = None 2025-03-21T20:31:48.7960191Z quantized_decomposed_dequantize_per_tensor_default_736: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_446, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_446 = None 2025-03-21T20:31:48.7960291Z 2025-03-21T20:31:48.7961028Z # 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) 2025-03-21T20:31:48.7961927Z aten_permute_copy_default_111: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_658, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_658 = None 2025-03-21T20:31:48.7963019Z quantized_decomposed_quantize_per_tensor_default_447: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_111, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_111 = None 2025-03-21T20:31:48.7964312Z quantized_decomposed_dequantize_per_tensor_default_737: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_447, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_447 = None 2025-03-21T20:31:48.7965160Z aten_select_copy_int_140: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_737, 0, 0); quantized_decomposed_dequantize_per_tensor_default_737 = None 2025-03-21T20:31:48.7966189Z quantized_decomposed_quantize_per_tensor_default_448: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_140, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_140 = None 2025-03-21T20:31:48.7967715Z quantized_decomposed_dequantize_per_tensor_default_738: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_448, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_448 = None 2025-03-21T20:31:48.7968547Z aten_select_copy_int_141: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_738, 0, 10); quantized_decomposed_dequantize_per_tensor_default_738 = None 2025-03-21T20:31:48.7969563Z quantized_decomposed_quantize_per_tensor_default_449: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_141, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_141 = None 2025-03-21T20:31:48.7969661Z 2025-03-21T20:31:48.7970718Z # File: .50:1822 in forward, code: dequantize_per_tensor_default_600 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_600, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_600 = None 2025-03-21T20:31:48.7972105Z quantized_decomposed_dequantize_per_tensor_default_739: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_449, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_449 = None 2025-03-21T20:31:48.7972218Z 2025-03-21T20:31:48.7972939Z # 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) 2025-03-21T20:31:48.7973857Z aten_permute_copy_default_112: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_657, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_657 = None 2025-03-21T20:31:48.7974921Z quantized_decomposed_quantize_per_tensor_default_450: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_112, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_permute_copy_default_112 = None 2025-03-21T20:31:48.7976224Z quantized_decomposed_dequantize_per_tensor_default_740: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_450, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_450 = None 2025-03-21T20:31:48.7977088Z aten_select_copy_int_142: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_740, 0, 0); quantized_decomposed_dequantize_per_tensor_default_740 = None 2025-03-21T20:31:48.7978122Z quantized_decomposed_quantize_per_tensor_default_451: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_142, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_142 = None 2025-03-21T20:31:48.7979421Z quantized_decomposed_dequantize_per_tensor_default_741: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_451, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_451 = None 2025-03-21T20:31:48.7980294Z aten_select_copy_int_143: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_741, 0, 11); quantized_decomposed_dequantize_per_tensor_default_741 = None 2025-03-21T20:31:48.7981301Z quantized_decomposed_quantize_per_tensor_default_452: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_143, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_select_copy_int_143 = None 2025-03-21T20:31:48.7981415Z 2025-03-21T20:31:48.7982459Z # File: .50:1831 in forward, code: dequantize_per_tensor_default_603 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_603, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_603 = None 2025-03-21T20:31:48.7983753Z quantized_decomposed_dequantize_per_tensor_default_742: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_452, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_452 = None 2025-03-21T20:31:48.7983848Z 2025-03-21T20:31:48.7984604Z # 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) 2025-03-21T20:31:48.7990817Z aten_cat_default_11: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_709, quantized_decomposed_dequantize_per_tensor_default_712, quantized_decomposed_dequantize_per_tensor_default_715, quantized_decomposed_dequantize_per_tensor_default_718, quantized_decomposed_dequantize_per_tensor_default_721, quantized_decomposed_dequantize_per_tensor_default_724, quantized_decomposed_dequantize_per_tensor_default_727, quantized_decomposed_dequantize_per_tensor_default_730, quantized_decomposed_dequantize_per_tensor_default_733, quantized_decomposed_dequantize_per_tensor_default_736, quantized_decomposed_dequantize_per_tensor_default_739, quantized_decomposed_dequantize_per_tensor_default_742]); quantized_decomposed_dequantize_per_tensor_default_709 = quantized_decomposed_dequantize_per_tensor_default_712 = quantized_decomposed_dequantize_per_tensor_default_715 = quantized_decomposed_dequantize_per_tensor_default_718 = quantized_decomposed_dequantize_per_tensor_default_721 = quantized_decomposed_dequantize_per_tensor_default_724 = quantized_decomposed_dequantize_per_tensor_default_727 = quantized_decomposed_dequantize_per_tensor_default_730 = quantized_decomposed_dequantize_per_tensor_default_733 = quantized_decomposed_dequantize_per_tensor_default_736 = quantized_decomposed_dequantize_per_tensor_default_739 = quantized_decomposed_dequantize_per_tensor_default_742 = None 2025-03-21T20:31:48.7991828Z quantized_decomposed_quantize_per_tensor_default_453: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_11, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_cat_default_11 = None 2025-03-21T20:31:48.7993251Z quantized_decomposed_dequantize_per_tensor_default_743: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_453, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_453 = None 2025-03-21T20:31:48.7994149Z aten_view_copy_default_46: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_743, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_743 = None 2025-03-21T20:31:48.7995206Z quantized_decomposed_quantize_per_tensor_default_454: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_46, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); aten_view_copy_default_46 = None 2025-03-21T20:31:48.7995319Z 2025-03-21T20:31:48.7996362Z # File: .50:1837 in forward, code: dequantize_per_tensor_default_605 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_605, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantize_per_tensor_default_605 = None 2025-03-21T20:31:48.7997686Z quantized_decomposed_dequantize_per_tensor_default_744: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_454, 9.550915274303406e-05, 30065, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_454 = None 2025-03-21T20:31:48.7997784Z 2025-03-21T20:31:48.7998852Z # File: .50:1838 in forward, code: quantize_per_tensor_default_606 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_605, 0.00010338902211515233, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_605 = None 2025-03-21T20:31:48.8000184Z quantized_decomposed_quantize_per_tensor_default_455: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_744, 0.00010338902211515233, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_744 = None 2025-03-21T20:31:48.8000293Z 2025-03-21T20:31:48.8000837Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.8002154Z quantized_decomposed_dequantize_per_tensor_default_745: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_455, 0.00010338902211515233, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_455 = None 2025-03-21T20:31:48.8002252Z 2025-03-21T20:31:48.8002800Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:48.8003714Z aten_index_tensor_4: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_121, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_121 = None 2025-03-21T20:31:48.8004702Z quantized_decomposed_quantize_per_tensor_default_456: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_4, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_4 = None 2025-03-21T20:31:48.8004816Z 2025-03-21T20:31:48.8005356Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.8006692Z quantized_decomposed_dequantize_per_tensor_default_746: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_456, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_456 = None 2025-03-21T20:31:48.8006792Z 2025-03-21T20:31:48.8007456Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.8008361Z aten_permute_copy_default_113: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_706, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_706 = None 2025-03-21T20:31:48.8009473Z quantized_decomposed_quantize_per_tensor_default_457: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_113, 0.00036907364847138524, 31320, 0, 65535, torch.int32); aten_permute_copy_default_113 = None 2025-03-21T20:31:48.8009572Z 2025-03-21T20:31:48.8010638Z # File: .50:1845 in forward, code: dequantize_per_tensor_default_608 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_608, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantize_per_tensor_default_608 = None 2025-03-21T20:31:48.8011952Z quantized_decomposed_dequantize_per_tensor_default_747: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_457, 0.00036907364847138524, 31320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_457 = None 2025-03-21T20:31:48.8012063Z 2025-03-21T20:31:48.8013115Z # File: .50:1846 in forward, code: quantize_per_tensor_default_609 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_608, 0.00038538043736480176, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_608 = None 2025-03-21T20:31:48.8014479Z quantized_decomposed_quantize_per_tensor_default_458: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_747, 0.00038538043736480176, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_747 = None 2025-03-21T20:31:48.8014579Z 2025-03-21T20:31:48.8015237Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.8016547Z quantized_decomposed_dequantize_per_tensor_default_748: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_458, 0.00038538043736480176, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_458 = None 2025-03-21T20:31:48.8017444Z aten_expand_copy_default_8: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_642, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_642 = None 2025-03-21T20:31:48.8018064Z 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 2025-03-21T20:31:48.8018970Z aten_expand_copy_default_9: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_748, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_748 = None 2025-03-21T20:31:48.8019620Z 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 2025-03-21T20:31:48.8020370Z 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 2025-03-21T20:31:48.8020947Z 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 2025-03-21T20:31:48.8022055Z quantized_decomposed_quantize_per_tensor_default_459: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_49, 0.004083077888935804, 41914, 0, 65535, torch.int32); aten_view_copy_default_49 = None 2025-03-21T20:31:48.8023359Z quantized_decomposed_dequantize_per_tensor_default_749: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_459, 0.004083077888935804, 41914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_459 = None 2025-03-21T20:31:48.8024347Z quantized_decomposed_dequantize_per_tensor_default_750: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param151, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param151 = None 2025-03-21T20:31:48.8025632Z aten_mul_tensor_40: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_749, quantized_decomposed_dequantize_per_tensor_default_750); quantized_decomposed_dequantize_per_tensor_default_749 = quantized_decomposed_dequantize_per_tensor_default_750 = None 2025-03-21T20:31:48.8026618Z quantized_decomposed_quantize_per_tensor_default_460: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_40, 0.0005103847361169755, 41914, 0, 65535, torch.int32); aten_mul_tensor_40 = None 2025-03-21T20:31:48.8026756Z 2025-03-21T20:31:48.8027295Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.8028628Z quantized_decomposed_dequantize_per_tensor_default_751: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_460, 0.0005103847361169755, 41914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_460 = None 2025-03-21T20:31:48.8029922Z aten_add_tensor_12: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_751, quantized_decomposed_dequantize_per_tensor_default_746); quantized_decomposed_dequantize_per_tensor_default_751 = quantized_decomposed_dequantize_per_tensor_default_746 = None 2025-03-21T20:31:48.8030905Z quantized_decomposed_quantize_per_tensor_default_461: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_12, 0.0043187374249100685, 62811, 0, 65535, torch.int32); aten_add_tensor_12 = None 2025-03-21T20:31:48.8031002Z 2025-03-21T20:31:48.8031641Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:48.8033072Z quantized_decomposed_dequantize_per_tensor_default_752: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_461, 0.0043187374249100685, 62811, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_461 = None 2025-03-21T20:31:48.8033965Z aten__softmax_default_2: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_752, -1, False); quantized_decomposed_dequantize_per_tensor_default_752 = None 2025-03-21T20:31:48.8034964Z quantized_decomposed_quantize_per_tensor_default_462: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_2, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_2 = None 2025-03-21T20:31:48.8035104Z 2025-03-21T20:31:48.8035625Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.8036918Z quantized_decomposed_dequantize_per_tensor_default_753: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_462, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_462 = None 2025-03-21T20:31:48.8037830Z aten_expand_copy_default_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_753, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_753 = None 2025-03-21T20:31:48.8038473Z 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 2025-03-21T20:31:48.8039372Z aten_expand_copy_default_11: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_745, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_745 = None 2025-03-21T20:31:48.8040027Z 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 2025-03-21T20:31:48.8040772Z 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 2025-03-21T20:31:48.8041374Z 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 2025-03-21T20:31:48.8042401Z quantized_decomposed_quantize_per_tensor_default_463: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_52, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_view_copy_default_52 = None 2025-03-21T20:31:48.8042515Z 2025-03-21T20:31:48.8043219Z # 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) 2025-03-21T20:31:48.8044518Z quantized_decomposed_dequantize_per_tensor_default_754: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_463, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_463 = None 2025-03-21T20:31:48.8045422Z aten_permute_copy_default_114: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_754, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_754 = None 2025-03-21T20:31:48.8046512Z quantized_decomposed_quantize_per_tensor_default_464: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_114, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_permute_copy_default_114 = None 2025-03-21T20:31:48.8048129Z quantized_decomposed_dequantize_per_tensor_default_755: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_464, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_464 = None 2025-03-21T20:31:48.8054047Z aten_view_copy_default_53: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_755, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_755 = None 2025-03-21T20:31:48.8055252Z quantized_decomposed_quantize_per_tensor_default_465: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_53, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_view_copy_default_53 = None 2025-03-21T20:31:48.8055359Z 2025-03-21T20:31:48.8055968Z # 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) 2025-03-21T20:31:48.8057283Z quantized_decomposed_dequantize_per_tensor_default_756: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_465, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_465 = None 2025-03-21T20:31:48.8058213Z aten_unsqueeze_copy_default_29: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_756, -1); quantized_decomposed_dequantize_per_tensor_default_756 = None 2025-03-21T20:31:48.8059297Z quantized_decomposed_quantize_per_tensor_default_466: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_29, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_unsqueeze_copy_default_29 = None 2025-03-21T20:31:48.8059445Z 2025-03-21T20:31:48.8059950Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8061271Z quantized_decomposed_dequantize_per_tensor_default_757: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_466, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_466 = None 2025-03-21T20:31:48.8062182Z aten_permute_copy_default_115: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_757, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_757 = None 2025-03-21T20:31:48.8063272Z quantized_decomposed_quantize_per_tensor_default_467: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_115, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); aten_permute_copy_default_115 = None 2025-03-21T20:31:48.8063370Z 2025-03-21T20:31:48.8063797Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8065137Z quantized_decomposed_dequantize_per_tensor_default_758: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_467, 5.6490640417905524e-05, 31487, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_467 = None 2025-03-21T20:31:48.8066836Z aten_convolution_default_17: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_758, quantized_decomposed_dequantize_per_tensor_default_23, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_758 = quantized_decomposed_dequantize_per_tensor_default_23 = None 2025-03-21T20:31:48.8067897Z quantized_decomposed_quantize_per_tensor_default_468: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_17, 0.00010611177276587114, 33703, 0, 65535, torch.int32); aten_convolution_default_17 = None 2025-03-21T20:31:48.8068077Z 2025-03-21T20:31:48.8068552Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8069889Z quantized_decomposed_dequantize_per_tensor_default_759: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_468, 0.00010611177276587114, 33703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_468 = None 2025-03-21T20:31:48.8070788Z aten_permute_copy_default_116: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_759, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_759 = None 2025-03-21T20:31:48.8071875Z quantized_decomposed_quantize_per_tensor_default_469: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_116, 0.00010611177276587114, 33703, 0, 65535, torch.int32); aten_permute_copy_default_116 = None 2025-03-21T20:31:48.8071977Z 2025-03-21T20:31:48.8072595Z # 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]) 2025-03-21T20:31:48.8074093Z quantized_decomposed_dequantize_per_tensor_default_760: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_469, 0.00010611177276587114, 33703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_469 = None 2025-03-21T20:31:48.8074955Z aten_squeeze_copy_dims_29: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_760, [-1]); quantized_decomposed_dequantize_per_tensor_default_760 = None 2025-03-21T20:31:48.8075988Z quantized_decomposed_quantize_per_tensor_default_470: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_29, 0.00010611177276587114, 33703, 0, 65535, torch.int32); aten_squeeze_copy_dims_29 = None 2025-03-21T20:31:48.8076099Z 2025-03-21T20:31:48.8076515Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.8077845Z quantized_decomposed_dequantize_per_tensor_default_761: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_470, 0.00010611177276587114, 33703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_470 = None 2025-03-21T20:31:48.8079161Z aten_add_tensor_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_581, quantized_decomposed_dequantize_per_tensor_default_761); quantized_decomposed_dequantize_per_tensor_default_581 = quantized_decomposed_dequantize_per_tensor_default_761 = None 2025-03-21T20:31:48.8080127Z quantized_decomposed_quantize_per_tensor_default_471: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_13, 0.001073345891200006, 11837, 0, 65535, torch.int32); aten_add_tensor_13 = None 2025-03-21T20:31:48.8080228Z 2025-03-21T20:31:48.8080814Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.8081848Z quantized_decomposed_dequantize_per_tensor_default_762: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_471, 0.001073345891200006, 11837, 0, 65535, torch.int32) 2025-03-21T20:31:48.8083183Z quantized_decomposed_dequantize_per_tensor_default_763: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_471, 0.001073345891200006, 11837, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_471 = None 2025-03-21T20:31:48.8083759Z aten_pow_tensor_scalar_5: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_763, 2) 2025-03-21T20:31:48.8084282Z 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 2025-03-21T20:31:48.8084778Z 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 2025-03-21T20:31:48.8085255Z 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 2025-03-21T20:31:48.8086215Z aten_mul_tensor_41: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_763, aten_rsqrt_default_5); quantized_decomposed_dequantize_per_tensor_default_763 = aten_rsqrt_default_5 = None 2025-03-21T20:31:48.8087187Z aten_mul_tensor_42: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_41, quantized_decomposed_dequantize_per_tensor_default_24); aten_mul_tensor_41 = quantized_decomposed_dequantize_per_tensor_default_24 = None 2025-03-21T20:31:48.8088149Z quantized_decomposed_quantize_per_tensor_default_472: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_42, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_mul_tensor_42 = None 2025-03-21T20:31:48.8088260Z 2025-03-21T20:31:48.8088847Z # 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) 2025-03-21T20:31:48.8089901Z quantized_decomposed_dequantize_per_tensor_default_764: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_472, 0.00031091910204850137, 15960, 0, 65535, torch.int32) 2025-03-21T20:31:48.8091213Z quantized_decomposed_dequantize_per_tensor_default_765: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_472, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_472 = None 2025-03-21T20:31:48.8092135Z aten_unsqueeze_copy_default_30: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_765, -1); quantized_decomposed_dequantize_per_tensor_default_765 = None 2025-03-21T20:31:48.8093235Z quantized_decomposed_quantize_per_tensor_default_473: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_30, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_unsqueeze_copy_default_30 = None 2025-03-21T20:31:48.8093348Z 2025-03-21T20:31:48.8093802Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8095112Z quantized_decomposed_dequantize_per_tensor_default_766: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_473, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_473 = None 2025-03-21T20:31:48.8096033Z aten_permute_copy_default_117: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_766, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_766 = None 2025-03-21T20:31:48.8097118Z quantized_decomposed_quantize_per_tensor_default_474: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_117, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_permute_copy_default_117 = None 2025-03-21T20:31:48.8097217Z 2025-03-21T20:31:48.8097642Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8098948Z quantized_decomposed_dequantize_per_tensor_default_767: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_474, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_474 = None 2025-03-21T20:31:48.8100419Z aten_convolution_default_18: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_767, quantized_decomposed_dequantize_per_tensor_default_25, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_767 = quantized_decomposed_dequantize_per_tensor_default_25 = None 2025-03-21T20:31:48.8101533Z quantized_decomposed_quantize_per_tensor_default_475: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_18, 0.00018055648251902312, 33284, 0, 65535, torch.int32); aten_convolution_default_18 = None 2025-03-21T20:31:48.8101647Z 2025-03-21T20:31:48.8102121Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8103458Z quantized_decomposed_dequantize_per_tensor_default_768: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_475, 0.00018055648251902312, 33284, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_475 = None 2025-03-21T20:31:48.8104360Z aten_permute_copy_default_118: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_768, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_768 = None 2025-03-21T20:31:48.8105448Z quantized_decomposed_quantize_per_tensor_default_476: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_118, 0.00018055648251902312, 33284, 0, 65535, torch.int32); aten_permute_copy_default_118 = None 2025-03-21T20:31:48.8105547Z 2025-03-21T20:31:48.8106186Z # 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]) 2025-03-21T20:31:48.8107491Z quantized_decomposed_dequantize_per_tensor_default_769: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_476, 0.00018055648251902312, 33284, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_476 = None 2025-03-21T20:31:48.8108357Z aten_squeeze_copy_dims_30: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_769, [-1]); quantized_decomposed_dequantize_per_tensor_default_769 = None 2025-03-21T20:31:48.8109420Z quantized_decomposed_quantize_per_tensor_default_477: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_30, 0.00018055648251902312, 33284, 0, 65535, torch.int32); aten_squeeze_copy_dims_30 = None 2025-03-21T20:31:48.8109533Z 2025-03-21T20:31:48.8110113Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.8111177Z quantized_decomposed_dequantize_per_tensor_default_770: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_477, 0.00018055648251902312, 33284, 0, 65535, torch.int32) 2025-03-21T20:31:48.8112490Z quantized_decomposed_dequantize_per_tensor_default_771: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_477, 0.00018055648251902312, 33284, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_477 = None 2025-03-21T20:31:48.8113433Z aten_sigmoid_default_2: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_771); quantized_decomposed_dequantize_per_tensor_default_771 = None 2025-03-21T20:31:48.8114470Z quantized_decomposed_quantize_per_tensor_default_478: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_2, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_2 = None 2025-03-21T20:31:48.8115757Z quantized_decomposed_dequantize_per_tensor_default_772: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_478, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_478 = None 2025-03-21T20:31:48.8117061Z aten_mul_tensor_43: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_770, quantized_decomposed_dequantize_per_tensor_default_772); quantized_decomposed_dequantize_per_tensor_default_770 = quantized_decomposed_dequantize_per_tensor_default_772 = None 2025-03-21T20:31:48.8118033Z quantized_decomposed_quantize_per_tensor_default_479: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_43, 9.284297266276553e-05, 2999, 0, 65535, torch.int32); aten_mul_tensor_43 = None 2025-03-21T20:31:48.8119341Z quantized_decomposed_dequantize_per_tensor_default_773: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_479, 9.284297266276553e-05, 2999, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_479 = None 2025-03-21T20:31:48.8119441Z 2025-03-21T20:31:48.8120062Z # 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) 2025-03-21T20:31:48.8120969Z aten_unsqueeze_copy_default_31: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_764, -1); quantized_decomposed_dequantize_per_tensor_default_764 = None 2025-03-21T20:31:48.8122063Z quantized_decomposed_quantize_per_tensor_default_480: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_31, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_unsqueeze_copy_default_31 = None 2025-03-21T20:31:48.8122185Z 2025-03-21T20:31:48.8122641Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8123972Z quantized_decomposed_dequantize_per_tensor_default_774: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_480, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_480 = None 2025-03-21T20:31:48.8124889Z aten_permute_copy_default_119: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_774, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_774 = None 2025-03-21T20:31:48.8125955Z quantized_decomposed_quantize_per_tensor_default_481: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_119, 0.00031091910204850137, 15960, 0, 65535, torch.int32); aten_permute_copy_default_119 = None 2025-03-21T20:31:48.8126069Z 2025-03-21T20:31:48.8126479Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8127785Z quantized_decomposed_dequantize_per_tensor_default_775: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_481, 0.00031091910204850137, 15960, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_481 = None 2025-03-21T20:31:48.8129291Z aten_convolution_default_19: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_775, quantized_decomposed_dequantize_per_tensor_default_26, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_775 = quantized_decomposed_dequantize_per_tensor_default_26 = None 2025-03-21T20:31:48.8130377Z quantized_decomposed_quantize_per_tensor_default_482: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_19, 0.00019716951646842062, 31579, 0, 65535, torch.int32); aten_convolution_default_19 = None 2025-03-21T20:31:48.8130474Z 2025-03-21T20:31:48.8130956Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8132270Z quantized_decomposed_dequantize_per_tensor_default_776: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_482, 0.00019716951646842062, 31579, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_482 = None 2025-03-21T20:31:48.8133183Z aten_permute_copy_default_120: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_776, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_776 = None 2025-03-21T20:31:48.8134280Z quantized_decomposed_quantize_per_tensor_default_483: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_120, 0.00019716951646842062, 31579, 0, 65535, torch.int32); aten_permute_copy_default_120 = None 2025-03-21T20:31:48.8134393Z 2025-03-21T20:31:48.8134994Z # 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]) 2025-03-21T20:31:48.8136316Z quantized_decomposed_dequantize_per_tensor_default_777: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_483, 0.00019716951646842062, 31579, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_483 = None 2025-03-21T20:31:48.8137190Z aten_squeeze_copy_dims_31: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_777, [-1]); quantized_decomposed_dequantize_per_tensor_default_777 = None 2025-03-21T20:31:48.8138238Z quantized_decomposed_quantize_per_tensor_default_484: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_31, 0.00019716951646842062, 31579, 0, 65535, torch.int32); aten_squeeze_copy_dims_31 = None 2025-03-21T20:31:48.8138336Z 2025-03-21T20:31:48.8138924Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.8140235Z quantized_decomposed_dequantize_per_tensor_default_778: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_484, 0.00019716951646842062, 31579, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_484 = None 2025-03-21T20:31:48.8141551Z aten_mul_tensor_44: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_773, quantized_decomposed_dequantize_per_tensor_default_778); quantized_decomposed_dequantize_per_tensor_default_773 = quantized_decomposed_dequantize_per_tensor_default_778 = None 2025-03-21T20:31:48.8142530Z quantized_decomposed_quantize_per_tensor_default_485: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_44, 0.0009127886733040214, 36679, 0, 65535, torch.int32); aten_mul_tensor_44 = None 2025-03-21T20:31:48.8142642Z 2025-03-21T20:31:48.8143223Z # 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) 2025-03-21T20:31:48.8144539Z quantized_decomposed_dequantize_per_tensor_default_779: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_485, 0.0009127886733040214, 36679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_485 = None 2025-03-21T20:31:48.8145453Z aten_unsqueeze_copy_default_32: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_779, -1); quantized_decomposed_dequantize_per_tensor_default_779 = None 2025-03-21T20:31:48.8146546Z quantized_decomposed_quantize_per_tensor_default_486: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_32, 0.0009127886733040214, 36679, 0, 65535, torch.int32); aten_unsqueeze_copy_default_32 = None 2025-03-21T20:31:48.8146646Z 2025-03-21T20:31:48.8147137Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8148448Z quantized_decomposed_dequantize_per_tensor_default_780: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_486, 0.0009127886733040214, 36679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_486 = None 2025-03-21T20:31:48.8149362Z aten_permute_copy_default_121: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_780, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_780 = None 2025-03-21T20:31:48.8150464Z quantized_decomposed_quantize_per_tensor_default_487: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_121, 0.0009127886733040214, 36679, 0, 65535, torch.int32); aten_permute_copy_default_121 = None 2025-03-21T20:31:48.8150572Z 2025-03-21T20:31:48.8150978Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8152305Z quantized_decomposed_dequantize_per_tensor_default_781: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_487, 0.0009127886733040214, 36679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_487 = None 2025-03-21T20:31:48.8153864Z aten_convolution_default_20: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_781, quantized_decomposed_dequantize_per_tensor_default_27, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_781 = quantized_decomposed_dequantize_per_tensor_default_27 = None 2025-03-21T20:31:48.8154931Z quantized_decomposed_quantize_per_tensor_default_488: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_20, 0.0011877048527821898, 2626, 0, 65535, torch.int32); aten_convolution_default_20 = None 2025-03-21T20:31:48.8155054Z 2025-03-21T20:31:48.8155562Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8156851Z quantized_decomposed_dequantize_per_tensor_default_782: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_488, 0.0011877048527821898, 2626, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_488 = None 2025-03-21T20:31:48.8157761Z aten_permute_copy_default_122: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_782, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_782 = None 2025-03-21T20:31:48.8158818Z quantized_decomposed_quantize_per_tensor_default_489: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_122, 0.0011877048527821898, 2626, 0, 65535, torch.int32); aten_permute_copy_default_122 = None 2025-03-21T20:31:48.8158930Z 2025-03-21T20:31:48.8159528Z # 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]) 2025-03-21T20:31:48.8160875Z quantized_decomposed_dequantize_per_tensor_default_783: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_489, 0.0011877048527821898, 2626, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_489 = None 2025-03-21T20:31:48.8161722Z aten_squeeze_copy_dims_32: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_783, [-1]); quantized_decomposed_dequantize_per_tensor_default_783 = None 2025-03-21T20:31:48.8162758Z quantized_decomposed_quantize_per_tensor_default_490: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_32, 0.0011877048527821898, 2626, 0, 65535, torch.int32); aten_squeeze_copy_dims_32 = None 2025-03-21T20:31:48.8162892Z 2025-03-21T20:31:48.8163476Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.8164768Z quantized_decomposed_dequantize_per_tensor_default_784: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_490, 0.0011877048527821898, 2626, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_490 = None 2025-03-21T20:31:48.8166059Z aten_add_tensor_14: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_762, quantized_decomposed_dequantize_per_tensor_default_784); quantized_decomposed_dequantize_per_tensor_default_762 = quantized_decomposed_dequantize_per_tensor_default_784 = None 2025-03-21T20:31:48.8167509Z quantized_decomposed_quantize_per_tensor_default_491: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_14, 0.0020524393767118454, 7490, 0, 65535, torch.int32); aten_add_tensor_14 = None 2025-03-21T20:31:48.8167661Z 2025-03-21T20:31:48.8168081Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.8169253Z quantized_decomposed_dequantize_per_tensor_default_785: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_491, 0.0020524393767118454, 7490, 0, 65535, torch.int32) 2025-03-21T20:31:48.8169351Z 2025-03-21T20:31:48.8170028Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:48.8171337Z quantized_decomposed_dequantize_per_tensor_default_786: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_491, 0.0020524393767118454, 7490, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_491 = None 2025-03-21T20:31:48.8171928Z aten_pow_tensor_scalar_6: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_786, 2) 2025-03-21T20:31:48.8172432Z 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 2025-03-21T20:31:48.8172927Z 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 2025-03-21T20:31:48.8173405Z 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 2025-03-21T20:31:48.8174366Z aten_mul_tensor_45: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_786, aten_rsqrt_default_6); quantized_decomposed_dequantize_per_tensor_default_786 = aten_rsqrt_default_6 = None 2025-03-21T20:31:48.8175324Z aten_mul_tensor_46: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_45, quantized_decomposed_dequantize_per_tensor_default_28); aten_mul_tensor_45 = quantized_decomposed_dequantize_per_tensor_default_28 = None 2025-03-21T20:31:48.8176296Z quantized_decomposed_quantize_per_tensor_default_492: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_46, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_mul_tensor_46 = None 2025-03-21T20:31:48.8176404Z 2025-03-21T20:31:48.8176984Z # 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) 2025-03-21T20:31:48.8178086Z quantized_decomposed_dequantize_per_tensor_default_787: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_492, 0.00036565581103786826, 25893, 0, 65535, torch.int32) 2025-03-21T20:31:48.8179130Z quantized_decomposed_dequantize_per_tensor_default_788: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_492, 0.00036565581103786826, 25893, 0, 65535, torch.int32) 2025-03-21T20:31:48.8180452Z quantized_decomposed_dequantize_per_tensor_default_789: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_492, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_492 = None 2025-03-21T20:31:48.8181372Z aten_unsqueeze_copy_default_33: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_789, -1); quantized_decomposed_dequantize_per_tensor_default_789 = None 2025-03-21T20:31:48.8182451Z quantized_decomposed_quantize_per_tensor_default_493: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_33, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_unsqueeze_copy_default_33 = None 2025-03-21T20:31:48.8182594Z 2025-03-21T20:31:48.8183079Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8184384Z quantized_decomposed_dequantize_per_tensor_default_790: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_493, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_493 = None 2025-03-21T20:31:48.8185310Z aten_permute_copy_default_123: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_790, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_790 = None 2025-03-21T20:31:48.8186399Z quantized_decomposed_quantize_per_tensor_default_494: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_123, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_permute_copy_default_123 = None 2025-03-21T20:31:48.8186500Z 2025-03-21T20:31:48.8186911Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8188258Z quantized_decomposed_dequantize_per_tensor_default_791: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_494, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_494 = None 2025-03-21T20:31:48.8189717Z aten_convolution_default_21: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_791, quantized_decomposed_dequantize_per_tensor_default_29, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_791 = quantized_decomposed_dequantize_per_tensor_default_29 = None 2025-03-21T20:31:48.8190771Z quantized_decomposed_quantize_per_tensor_default_495: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_21, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_convolution_default_21 = None 2025-03-21T20:31:48.8190908Z 2025-03-21T20:31:48.8191377Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8192693Z quantized_decomposed_dequantize_per_tensor_default_792: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_495, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_495 = None 2025-03-21T20:31:48.8193799Z aten_permute_copy_default_124: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_792, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_792 = None 2025-03-21T20:31:48.8194886Z quantized_decomposed_quantize_per_tensor_default_496: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_124, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_permute_copy_default_124 = None 2025-03-21T20:31:48.8194985Z 2025-03-21T20:31:48.8195588Z # 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]) 2025-03-21T20:31:48.8196963Z quantized_decomposed_dequantize_per_tensor_default_793: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_496, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_496 = None 2025-03-21T20:31:48.8197829Z aten_squeeze_copy_dims_33: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_793, [-1]); quantized_decomposed_dequantize_per_tensor_default_793 = None 2025-03-21T20:31:48.8198858Z quantized_decomposed_quantize_per_tensor_default_497: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_33, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_squeeze_copy_dims_33 = None 2025-03-21T20:31:48.8198974Z 2025-03-21T20:31:48.8199555Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.8200883Z quantized_decomposed_dequantize_per_tensor_default_794: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_497, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_497 = None 2025-03-21T20:31:48.8200979Z 2025-03-21T20:31:48.8201561Z # 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) 2025-03-21T20:31:48.8202502Z aten_unsqueeze_copy_default_34: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_788, -1); quantized_decomposed_dequantize_per_tensor_default_788 = None 2025-03-21T20:31:48.8203587Z quantized_decomposed_quantize_per_tensor_default_498: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_34, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_unsqueeze_copy_default_34 = None 2025-03-21T20:31:48.8203697Z 2025-03-21T20:31:48.8204153Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8205493Z quantized_decomposed_dequantize_per_tensor_default_795: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_498, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_498 = None 2025-03-21T20:31:48.8206399Z aten_permute_copy_default_125: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_795, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_795 = None 2025-03-21T20:31:48.8207477Z quantized_decomposed_quantize_per_tensor_default_499: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_125, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_permute_copy_default_125 = None 2025-03-21T20:31:48.8207576Z 2025-03-21T20:31:48.8207995Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8209303Z quantized_decomposed_dequantize_per_tensor_default_796: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_499, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_499 = None 2025-03-21T20:31:48.8210820Z aten_convolution_default_22: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_796, quantized_decomposed_dequantize_per_tensor_default_30, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_796 = quantized_decomposed_dequantize_per_tensor_default_30 = None 2025-03-21T20:31:48.8211886Z quantized_decomposed_quantize_per_tensor_default_500: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_22, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_convolution_default_22 = None 2025-03-21T20:31:48.8212002Z 2025-03-21T20:31:48.8212473Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8213794Z quantized_decomposed_dequantize_per_tensor_default_797: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_500, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_500 = None 2025-03-21T20:31:48.8214695Z aten_permute_copy_default_126: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_797, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_797 = None 2025-03-21T20:31:48.8215809Z quantized_decomposed_quantize_per_tensor_default_501: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_126, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_permute_copy_default_126 = None 2025-03-21T20:31:48.8215910Z 2025-03-21T20:31:48.8216517Z # 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]) 2025-03-21T20:31:48.8217816Z quantized_decomposed_dequantize_per_tensor_default_798: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_501, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_501 = None 2025-03-21T20:31:48.8218710Z aten_squeeze_copy_dims_34: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_798, [-1]); quantized_decomposed_dequantize_per_tensor_default_798 = None 2025-03-21T20:31:48.8219734Z quantized_decomposed_quantize_per_tensor_default_502: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_34, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_squeeze_copy_dims_34 = None 2025-03-21T20:31:48.8219839Z 2025-03-21T20:31:48.8220427Z # 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) 2025-03-21T20:31:48.8221739Z quantized_decomposed_dequantize_per_tensor_default_799: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_502, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_502 = None 2025-03-21T20:31:48.8221837Z 2025-03-21T20:31:48.8222430Z # 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) 2025-03-21T20:31:48.8223361Z aten_unsqueeze_copy_default_35: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_787, -1); quantized_decomposed_dequantize_per_tensor_default_787 = None 2025-03-21T20:31:48.8224475Z quantized_decomposed_quantize_per_tensor_default_503: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_35, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_unsqueeze_copy_default_35 = None 2025-03-21T20:31:48.8224575Z 2025-03-21T20:31:48.8225037Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8226346Z quantized_decomposed_dequantize_per_tensor_default_800: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_503, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_503 = None 2025-03-21T20:31:48.8227261Z aten_permute_copy_default_127: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_800, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_800 = None 2025-03-21T20:31:48.8228321Z quantized_decomposed_quantize_per_tensor_default_504: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_127, 0.00036565581103786826, 25893, 0, 65535, torch.int32); aten_permute_copy_default_127 = None 2025-03-21T20:31:48.8228430Z 2025-03-21T20:31:48.8228859Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8230174Z quantized_decomposed_dequantize_per_tensor_default_801: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_504, 0.00036565581103786826, 25893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_504 = None 2025-03-21T20:31:48.8231623Z aten_convolution_default_23: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_801, quantized_decomposed_dequantize_per_tensor_default_31, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_801 = quantized_decomposed_dequantize_per_tensor_default_31 = None 2025-03-21T20:31:48.8232751Z quantized_decomposed_quantize_per_tensor_default_505: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_23, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_convolution_default_23 = None 2025-03-21T20:31:48.8232941Z 2025-03-21T20:31:48.8233428Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8234732Z quantized_decomposed_dequantize_per_tensor_default_802: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_505, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_505 = None 2025-03-21T20:31:48.8235648Z aten_permute_copy_default_128: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_802, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_802 = None 2025-03-21T20:31:48.8236716Z quantized_decomposed_quantize_per_tensor_default_506: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_128, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_128 = None 2025-03-21T20:31:48.8236851Z 2025-03-21T20:31:48.8237482Z # 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]) 2025-03-21T20:31:48.8238797Z quantized_decomposed_dequantize_per_tensor_default_803: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_506, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_506 = None 2025-03-21T20:31:48.8239647Z aten_squeeze_copy_dims_35: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_803, [-1]); quantized_decomposed_dequantize_per_tensor_default_803 = None 2025-03-21T20:31:48.8240685Z quantized_decomposed_quantize_per_tensor_default_507: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_35, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_squeeze_copy_dims_35 = None 2025-03-21T20:31:48.8240783Z 2025-03-21T20:31:48.8241383Z # 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) 2025-03-21T20:31:48.8242709Z quantized_decomposed_dequantize_per_tensor_default_804: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_507, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_507 = None 2025-03-21T20:31:48.8242820Z 2025-03-21T20:31:48.8243391Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.8244266Z aten_view_copy_default_54: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_794, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_794 = None 2025-03-21T20:31:48.8245291Z quantized_decomposed_quantize_per_tensor_default_508: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_54, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_view_copy_default_54 = None 2025-03-21T20:31:48.8245420Z 2025-03-21T20:31:48.8246473Z # File: .50:2005 in forward, code: dequantize_per_tensor_default_660 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_660, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantize_per_tensor_default_660 = None 2025-03-21T20:31:48.8247794Z quantized_decomposed_dequantize_per_tensor_default_805: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_508, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_508 = None 2025-03-21T20:31:48.8247892Z 2025-03-21T20:31:48.8248482Z # 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) 2025-03-21T20:31:48.8249347Z aten_view_copy_default_55: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_799, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_799 = None 2025-03-21T20:31:48.8250404Z quantized_decomposed_quantize_per_tensor_default_509: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_55, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_view_copy_default_55 = None 2025-03-21T20:31:48.8250501Z 2025-03-21T20:31:48.8251583Z # File: .50:2008 in forward, code: dequantize_per_tensor_default_661 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_661, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantize_per_tensor_default_661 = None 2025-03-21T20:31:48.8252884Z quantized_decomposed_dequantize_per_tensor_default_806: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_509, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_509 = None 2025-03-21T20:31:48.8252988Z 2025-03-21T20:31:48.8253570Z # 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) 2025-03-21T20:31:48.8254439Z aten_view_copy_default_56: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_804, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_804 = None 2025-03-21T20:31:48.8255464Z quantized_decomposed_quantize_per_tensor_default_510: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_56, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_view_copy_default_56 = None 2025-03-21T20:31:48.8255570Z 2025-03-21T20:31:48.8256341Z # 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) 2025-03-21T20:31:48.8257672Z quantized_decomposed_dequantize_per_tensor_default_807: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_510, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_510 = None 2025-03-21T20:31:48.8257767Z 2025-03-21T20:31:48.8258631Z # File: .50:2013 in forward, code: quantize_per_tensor_default_663 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_6, 0.00035187334287911654, 29898, 0, 65535, torch.int32); _to_copy_6 = None 2025-03-21T20:31:48.8259958Z quantized_decomposed_quantize_per_tensor_default_511: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_805, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_805 = None 2025-03-21T20:31:48.8260065Z 2025-03-21T20:31:48.8260652Z # 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) 2025-03-21T20:31:48.8261961Z quantized_decomposed_dequantize_per_tensor_default_808: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_511, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_511 = None 2025-03-21T20:31:48.8262840Z aten_view_copy_default_57: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_808, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_808 = None 2025-03-21T20:31:48.8263900Z quantized_decomposed_quantize_per_tensor_default_512: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_57, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_view_copy_default_57 = None 2025-03-21T20:31:48.8265238Z quantized_decomposed_dequantize_per_tensor_default_809: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_512, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_512 = None 2025-03-21T20:31:48.8265853Z aten_slice_copy_tensor_12: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_809, 4, 0, 1) 2025-03-21T20:31:48.8266929Z aten_slice_copy_tensor_13: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_809, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_809 = None 2025-03-21T20:31:48.8267529Z 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 2025-03-21T20:31:48.8268110Z 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 2025-03-21T20:31:48.8269217Z quantized_decomposed_quantize_per_tensor_default_513: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_36, 0.00035187334287911654, 29898, 0, 65535, torch.int32); aten_squeeze_copy_dims_36 = None 2025-03-21T20:31:48.8269314Z 2025-03-21T20:31:48.8269861Z # 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 2025-03-21T20:31:48.8270913Z quantized_decomposed_dequantize_per_tensor_default_810: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_513, 0.00035187334287911654, 29898, 0, 65535, torch.int32) 2025-03-21T20:31:48.8271024Z 2025-03-21T20:31:48.8271555Z # 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 2025-03-21T20:31:48.8272962Z quantized_decomposed_dequantize_per_tensor_default_811: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_513, 0.00035187334287911654, 29898, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_513 = None 2025-03-21T20:31:48.8273072Z 2025-03-21T20:31:48.8273653Z # 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) 2025-03-21T20:31:48.8274692Z quantized_decomposed_quantize_per_tensor_default_514: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_37, 0.0003007998166140169, 27134, 0, 65535, torch.int32); aten_squeeze_copy_dims_37 = None 2025-03-21T20:31:48.8274789Z 2025-03-21T20:31:48.8275331Z # 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 2025-03-21T20:31:48.8276366Z quantized_decomposed_dequantize_per_tensor_default_812: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_514, 0.0003007998166140169, 27134, 0, 65535, torch.int32) 2025-03-21T20:31:48.8276516Z 2025-03-21T20:31:48.8277042Z # 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 2025-03-21T20:31:48.8278388Z quantized_decomposed_dequantize_per_tensor_default_813: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_514, 0.0003007998166140169, 27134, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_514 = None 2025-03-21T20:31:48.8278486Z 2025-03-21T20:31:48.8279343Z # File: .50:2028 in forward, code: quantize_per_tensor_default_667 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_7, 0.00039280077908188105, 32440, 0, 65535, torch.int32); _to_copy_7 = None 2025-03-21T20:31:48.8280648Z quantized_decomposed_quantize_per_tensor_default_515: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_806, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_806 = None 2025-03-21T20:31:48.8280756Z 2025-03-21T20:31:48.8281339Z # 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) 2025-03-21T20:31:48.8282671Z quantized_decomposed_dequantize_per_tensor_default_814: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_515, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_515 = None 2025-03-21T20:31:48.8283543Z aten_view_copy_default_58: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_814, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_814 = None 2025-03-21T20:31:48.8284581Z quantized_decomposed_quantize_per_tensor_default_516: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_58, 0.00039280077908188105, 32440, 0, 65535, torch.int32); aten_view_copy_default_58 = None 2025-03-21T20:31:48.8285884Z quantized_decomposed_dequantize_per_tensor_default_815: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_516, 0.00039280077908188105, 32440, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_516 = None 2025-03-21T20:31:48.8286517Z aten_slice_copy_tensor_14: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_815, 4, 0, 1) 2025-03-21T20:31:48.8287363Z aten_slice_copy_tensor_15: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_815, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_815 = None 2025-03-21T20:31:48.8287960Z 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 2025-03-21T20:31:48.8288542Z 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 2025-03-21T20:31:48.8289576Z quantized_decomposed_quantize_per_tensor_default_517: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_38, 0.0003777415840886533, 31121, 0, 65535, torch.int32); aten_squeeze_copy_dims_38 = None 2025-03-21T20:31:48.8289699Z 2025-03-21T20:31:48.8290243Z # 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 2025-03-21T20:31:48.8291300Z quantized_decomposed_dequantize_per_tensor_default_816: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_517, 0.0003777415840886533, 31121, 0, 65535, torch.int32) 2025-03-21T20:31:48.8291412Z 2025-03-21T20:31:48.8291938Z # 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 2025-03-21T20:31:48.8293246Z quantized_decomposed_dequantize_per_tensor_default_817: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_517, 0.0003777415840886533, 31121, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_517 = None 2025-03-21T20:31:48.8293343Z 2025-03-21T20:31:48.8293931Z # 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) 2025-03-21T20:31:48.8294958Z quantized_decomposed_quantize_per_tensor_default_518: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_39, 0.00037405197508633137, 34066, 0, 65535, torch.int32); aten_squeeze_copy_dims_39 = None 2025-03-21T20:31:48.8295070Z 2025-03-21T20:31:48.8295626Z # 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 2025-03-21T20:31:48.8296670Z quantized_decomposed_dequantize_per_tensor_default_818: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_518, 0.00037405197508633137, 34066, 0, 65535, torch.int32) 2025-03-21T20:31:48.8296780Z 2025-03-21T20:31:48.8297308Z # 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 2025-03-21T20:31:48.8298631Z quantized_decomposed_dequantize_per_tensor_default_819: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_518, 0.00037405197508633137, 34066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_518 = None 2025-03-21T20:31:48.8298750Z 2025-03-21T20:31:48.8299257Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.8300116Z aten_view_copy_default_59: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_159, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_159 = None 2025-03-21T20:31:48.8301138Z quantized_decomposed_quantize_per_tensor_default_519: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_59, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_59 = None 2025-03-21T20:31:48.8301236Z 2025-03-21T20:31:48.8301776Z # 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 2025-03-21T20:31:48.8302799Z quantized_decomposed_dequantize_per_tensor_default_820: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_519, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.8302931Z 2025-03-21T20:31:48.8303455Z # 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 2025-03-21T20:31:48.8304524Z quantized_decomposed_dequantize_per_tensor_default_821: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_519, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.8304622Z 2025-03-21T20:31:48.8305159Z # 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 2025-03-21T20:31:48.8306197Z quantized_decomposed_dequantize_per_tensor_default_822: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_519, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.8306308Z 2025-03-21T20:31:48.8306832Z # 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 2025-03-21T20:31:48.8308118Z quantized_decomposed_dequantize_per_tensor_default_823: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_519, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_519 = None 2025-03-21T20:31:48.8308228Z 2025-03-21T20:31:48.8308742Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.8309606Z aten_view_copy_default_60: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_171, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_171 = None 2025-03-21T20:31:48.8310618Z quantized_decomposed_quantize_per_tensor_default_520: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_60, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_60 = None 2025-03-21T20:31:48.8310750Z 2025-03-21T20:31:48.8311282Z # 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 2025-03-21T20:31:48.8312330Z quantized_decomposed_dequantize_per_tensor_default_824: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_520, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.8312427Z 2025-03-21T20:31:48.8313052Z # 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 2025-03-21T20:31:48.8314108Z quantized_decomposed_dequantize_per_tensor_default_825: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_520, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.8314202Z 2025-03-21T20:31:48.8314738Z # 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 2025-03-21T20:31:48.8315772Z quantized_decomposed_dequantize_per_tensor_default_826: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_520, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.8315919Z 2025-03-21T20:31:48.8316440Z # 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 2025-03-21T20:31:48.8317770Z quantized_decomposed_dequantize_per_tensor_default_827: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_520, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_520 = None 2025-03-21T20:31:48.8317864Z 2025-03-21T20:31:48.8318410Z # 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 2025-03-21T20:31:48.8319679Z aten_mul_tensor_47: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_811, quantized_decomposed_dequantize_per_tensor_default_823); quantized_decomposed_dequantize_per_tensor_default_811 = quantized_decomposed_dequantize_per_tensor_default_823 = None 2025-03-21T20:31:48.8320668Z quantized_decomposed_quantize_per_tensor_default_521: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_47, 0.00034635368501767516, 29709, 0, 65535, torch.int32); aten_mul_tensor_47 = None 2025-03-21T20:31:48.8321985Z quantized_decomposed_dequantize_per_tensor_default_828: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_521, 0.00034635368501767516, 29709, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_521 = None 2025-03-21T20:31:48.8323266Z aten_mul_tensor_48: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_812, quantized_decomposed_dequantize_per_tensor_default_826); quantized_decomposed_dequantize_per_tensor_default_812 = quantized_decomposed_dequantize_per_tensor_default_826 = None 2025-03-21T20:31:48.8324240Z quantized_decomposed_quantize_per_tensor_default_522: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_48, 0.00016881964984349906, 32450, 0, 65535, torch.int32); aten_mul_tensor_48 = None 2025-03-21T20:31:48.8325580Z quantized_decomposed_dequantize_per_tensor_default_829: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_522, 0.00016881964984349906, 32450, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_522 = None 2025-03-21T20:31:48.8326831Z aten_sub_tensor_6: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_828, quantized_decomposed_dequantize_per_tensor_default_829); quantized_decomposed_dequantize_per_tensor_default_828 = quantized_decomposed_dequantize_per_tensor_default_829 = None 2025-03-21T20:31:48.8327800Z quantized_decomposed_quantize_per_tensor_default_523: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_6, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_sub_tensor_6 = None 2025-03-21T20:31:48.8327894Z 2025-03-21T20:31:48.8328956Z # File: .50:2062 in forward, code: dequantize_per_tensor_default_675 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_675, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantize_per_tensor_default_675 = None 2025-03-21T20:31:48.8330244Z quantized_decomposed_dequantize_per_tensor_default_830: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_523, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_523 = None 2025-03-21T20:31:48.8330376Z 2025-03-21T20:31:48.8330929Z # 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 2025-03-21T20:31:48.8332215Z aten_mul_tensor_49: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_810, quantized_decomposed_dequantize_per_tensor_default_827); quantized_decomposed_dequantize_per_tensor_default_810 = quantized_decomposed_dequantize_per_tensor_default_827 = None 2025-03-21T20:31:48.8333169Z quantized_decomposed_quantize_per_tensor_default_524: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_49, 0.0001840081822592765, 33501, 0, 65535, torch.int32); aten_mul_tensor_49 = None 2025-03-21T20:31:48.8334472Z quantized_decomposed_dequantize_per_tensor_default_831: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_524, 0.0001840081822592765, 33501, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_524 = None 2025-03-21T20:31:48.8335734Z aten_mul_tensor_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_813, quantized_decomposed_dequantize_per_tensor_default_822); quantized_decomposed_dequantize_per_tensor_default_813 = quantized_decomposed_dequantize_per_tensor_default_822 = None 2025-03-21T20:31:48.8336745Z quantized_decomposed_quantize_per_tensor_default_525: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_50, 0.00029949701274745166, 27196, 0, 65535, torch.int32); aten_mul_tensor_50 = None 2025-03-21T20:31:48.8338068Z quantized_decomposed_dequantize_per_tensor_default_832: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_525, 0.00029949701274745166, 27196, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_525 = None 2025-03-21T20:31:48.8339362Z aten_add_tensor_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_831, quantized_decomposed_dequantize_per_tensor_default_832); quantized_decomposed_dequantize_per_tensor_default_831 = quantized_decomposed_dequantize_per_tensor_default_832 = None 2025-03-21T20:31:48.8340338Z quantized_decomposed_quantize_per_tensor_default_526: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_15, 0.0002954587689600885, 27289, 0, 65535, torch.int32); aten_add_tensor_15 = None 2025-03-21T20:31:48.8340433Z 2025-03-21T20:31:48.8341491Z # File: .50:2071 in forward, code: dequantize_per_tensor_default_678 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_678, 0.0002954587689600885, 27289, 0, 65535, torch.int32); quantize_per_tensor_default_678 = None 2025-03-21T20:31:48.8342774Z quantized_decomposed_dequantize_per_tensor_default_833: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_526, 0.0002954587689600885, 27289, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_526 = None 2025-03-21T20:31:48.8342882Z 2025-03-21T20:31:48.8343440Z # 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 2025-03-21T20:31:48.8344746Z aten_mul_tensor_51: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_817, quantized_decomposed_dequantize_per_tensor_default_821); quantized_decomposed_dequantize_per_tensor_default_817 = quantized_decomposed_dequantize_per_tensor_default_821 = None 2025-03-21T20:31:48.8345706Z quantized_decomposed_quantize_per_tensor_default_527: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_51, 0.00037480672472156584, 31015, 0, 65535, torch.int32); aten_mul_tensor_51 = None 2025-03-21T20:31:48.8347024Z quantized_decomposed_dequantize_per_tensor_default_834: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_527, 0.00037480672472156584, 31015, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_527 = None 2025-03-21T20:31:48.8348295Z aten_mul_tensor_52: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_818, quantized_decomposed_dequantize_per_tensor_default_824); quantized_decomposed_dequantize_per_tensor_default_818 = quantized_decomposed_dequantize_per_tensor_default_824 = None 2025-03-21T20:31:48.8349273Z quantized_decomposed_quantize_per_tensor_default_528: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_52, 0.0001904213277157396, 33744, 0, 65535, torch.int32); aten_mul_tensor_52 = None 2025-03-21T20:31:48.8350594Z quantized_decomposed_dequantize_per_tensor_default_835: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_528, 0.0001904213277157396, 33744, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_528 = None 2025-03-21T20:31:48.8351877Z aten_sub_tensor_7: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_834, quantized_decomposed_dequantize_per_tensor_default_835); quantized_decomposed_dequantize_per_tensor_default_834 = quantized_decomposed_dequantize_per_tensor_default_835 = None 2025-03-21T20:31:48.8352908Z quantized_decomposed_quantize_per_tensor_default_529: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_7, 0.0003823137958534062, 31137, 0, 65535, torch.int32); aten_sub_tensor_7 = None 2025-03-21T20:31:48.8353040Z 2025-03-21T20:31:48.8354079Z # File: .50:2080 in forward, code: dequantize_per_tensor_default_681 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_681, 0.0003823137958534062, 31137, 0, 65535, torch.int32); quantize_per_tensor_default_681 = None 2025-03-21T20:31:48.8355397Z quantized_decomposed_dequantize_per_tensor_default_836: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_529, 0.0003823137958534062, 31137, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_529 = None 2025-03-21T20:31:48.8355484Z 2025-03-21T20:31:48.8356030Z # 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 2025-03-21T20:31:48.8357294Z aten_mul_tensor_53: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_816, quantized_decomposed_dequantize_per_tensor_default_825); quantized_decomposed_dequantize_per_tensor_default_816 = quantized_decomposed_dequantize_per_tensor_default_825 = None 2025-03-21T20:31:48.8358331Z quantized_decomposed_quantize_per_tensor_default_530: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_53, 0.00017462005780544132, 35580, 0, 65535, torch.int32); aten_mul_tensor_53 = None 2025-03-21T20:31:48.8359622Z quantized_decomposed_dequantize_per_tensor_default_837: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_530, 0.00017462005780544132, 35580, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_530 = None 2025-03-21T20:31:48.8360908Z aten_mul_tensor_54: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_819, quantized_decomposed_dequantize_per_tensor_default_820); quantized_decomposed_dequantize_per_tensor_default_819 = quantized_decomposed_dequantize_per_tensor_default_820 = None 2025-03-21T20:31:48.8361885Z quantized_decomposed_quantize_per_tensor_default_531: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_54, 0.00036741403164342046, 33632, 0, 65535, torch.int32); aten_mul_tensor_54 = None 2025-03-21T20:31:48.8363191Z quantized_decomposed_dequantize_per_tensor_default_838: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_531, 0.00036741403164342046, 33632, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_531 = None 2025-03-21T20:31:48.8364486Z aten_add_tensor_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_837, quantized_decomposed_dequantize_per_tensor_default_838); quantized_decomposed_dequantize_per_tensor_default_837 = quantized_decomposed_dequantize_per_tensor_default_838 = None 2025-03-21T20:31:48.8365452Z quantized_decomposed_quantize_per_tensor_default_532: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_16, 0.00036854256177321076, 33858, 0, 65535, torch.int32); aten_add_tensor_16 = None 2025-03-21T20:31:48.8365553Z 2025-03-21T20:31:48.8366854Z # File: .50:2089 in forward, code: dequantize_per_tensor_default_684 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_684, 0.00036854256177321076, 33858, 0, 65535, torch.int32); quantize_per_tensor_default_684 = None 2025-03-21T20:31:48.8368248Z quantized_decomposed_dequantize_per_tensor_default_839: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_532, 0.00036854256177321076, 33858, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_532 = None 2025-03-21T20:31:48.8368347Z 2025-03-21T20:31:48.8368939Z # 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) 2025-03-21T20:31:48.8369843Z aten_unsqueeze_copy_default_36: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_830, 4); quantized_decomposed_dequantize_per_tensor_default_830 = None 2025-03-21T20:31:48.8370749Z aten_unsqueeze_copy_default_37: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_833, 4); quantized_decomposed_dequantize_per_tensor_default_833 = None 2025-03-21T20:31:48.8371576Z 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 2025-03-21T20:31:48.8372622Z quantized_decomposed_quantize_per_tensor_default_533: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_12, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_cat_default_12 = None 2025-03-21T20:31:48.8373918Z quantized_decomposed_dequantize_per_tensor_default_840: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_533, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_533 = None 2025-03-21T20:31:48.8374790Z aten_view_copy_default_61: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_840, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_840 = None 2025-03-21T20:31:48.8375822Z quantized_decomposed_quantize_per_tensor_default_534: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_61, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_view_copy_default_61 = None 2025-03-21T20:31:48.8375926Z 2025-03-21T20:31:48.8376963Z # File: .50:2095 in forward, code: dequantize_per_tensor_default_686 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_686, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantize_per_tensor_default_686 = None 2025-03-21T20:31:48.8378302Z quantized_decomposed_dequantize_per_tensor_default_841: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_534, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_534 = None 2025-03-21T20:31:48.8378398Z 2025-03-21T20:31:48.8378994Z # 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) 2025-03-21T20:31:48.8379889Z aten_unsqueeze_copy_default_38: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_836, 4); quantized_decomposed_dequantize_per_tensor_default_836 = None 2025-03-21T20:31:48.8380822Z aten_unsqueeze_copy_default_39: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_839, 4); quantized_decomposed_dequantize_per_tensor_default_839 = None 2025-03-21T20:31:48.8381646Z 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 2025-03-21T20:31:48.8382630Z quantized_decomposed_quantize_per_tensor_default_535: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_13, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_cat_default_13 = None 2025-03-21T20:31:48.8383923Z quantized_decomposed_dequantize_per_tensor_default_842: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_535, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_535 = None 2025-03-21T20:31:48.8384788Z aten_view_copy_default_62: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_842, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_842 = None 2025-03-21T20:31:48.8385858Z quantized_decomposed_quantize_per_tensor_default_536: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_62, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_view_copy_default_62 = None 2025-03-21T20:31:48.8385967Z 2025-03-21T20:31:48.8387011Z # File: .50:2101 in forward, code: dequantize_per_tensor_default_688 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_688, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_688 = None 2025-03-21T20:31:48.8388331Z quantized_decomposed_dequantize_per_tensor_default_843: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_536, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_536 = None 2025-03-21T20:31:48.8388424Z 2025-03-21T20:31:48.8389278Z # File: .50:2103 in forward, code: quantize_per_tensor_default_689 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_6, 0.0003396201936993748, 29394, 0, 65535, torch.int32); type_as_6 = None 2025-03-21T20:31:48.8390562Z quantized_decomposed_quantize_per_tensor_default_537: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_841, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_841 = None 2025-03-21T20:31:48.8390698Z 2025-03-21T20:31:48.8391287Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.8392598Z quantized_decomposed_dequantize_per_tensor_default_844: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_537, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_537 = None 2025-03-21T20:31:48.8392690Z 2025-03-21T20:31:48.8393613Z # File: .50:2106 in forward, code: quantize_per_tensor_default_690 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_7, 0.0003910682280547917, 31907, 0, 65535, torch.int32); type_as_7 = None 2025-03-21T20:31:48.8394943Z quantized_decomposed_quantize_per_tensor_default_538: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_843, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_843 = None 2025-03-21T20:31:48.8395051Z 2025-03-21T20:31:48.8395800Z # 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) 2025-03-21T20:31:48.8397112Z quantized_decomposed_dequantize_per_tensor_default_845: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_538, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_538 = None 2025-03-21T20:31:48.8397205Z 2025-03-21T20:31:48.8397805Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.8398731Z aten_permute_copy_default_129: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_844, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_844 = None 2025-03-21T20:31:48.8399836Z quantized_decomposed_quantize_per_tensor_default_539: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_129, 0.0003396201936993748, 29394, 0, 65535, torch.int32); aten_permute_copy_default_129 = None 2025-03-21T20:31:48.8399931Z 2025-03-21T20:31:48.8400579Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.8401879Z quantized_decomposed_dequantize_per_tensor_default_846: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_539, 0.0003396201936993748, 29394, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_539 = None 2025-03-21T20:31:48.8401986Z 2025-03-21T20:31:48.8402728Z # 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) 2025-03-21T20:31:48.8404198Z aten_index_put_default_6: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_122, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_845); quantized_decomposed_dequantize_per_tensor_default_122 = quantized_decomposed_dequantize_per_tensor_default_845 = None 2025-03-21T20:31:48.8405252Z quantized_decomposed_quantize_per_tensor_default_540: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_6, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_index_put_default_6 = None 2025-03-21T20:31:48.8405361Z 2025-03-21T20:31:48.8406238Z # File: .50:2113 in forward, code: dequantize_per_tensor_default_692 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_692, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8407296Z quantized_decomposed_dequantize_per_tensor_default_847: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8407428Z 2025-03-21T20:31:48.8408151Z # 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) 2025-03-21T20:31:48.8409196Z quantized_decomposed_dequantize_per_tensor_default_848: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8410243Z quantized_decomposed_dequantize_per_tensor_default_849: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8411287Z quantized_decomposed_dequantize_per_tensor_default_850: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8412353Z quantized_decomposed_dequantize_per_tensor_default_851: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8413416Z quantized_decomposed_dequantize_per_tensor_default_852: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8414464Z quantized_decomposed_dequantize_per_tensor_default_853: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8415496Z quantized_decomposed_dequantize_per_tensor_default_854: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8416546Z quantized_decomposed_dequantize_per_tensor_default_855: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8417575Z quantized_decomposed_dequantize_per_tensor_default_856: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8418651Z quantized_decomposed_dequantize_per_tensor_default_857: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8419693Z quantized_decomposed_dequantize_per_tensor_default_858: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32) 2025-03-21T20:31:48.8421003Z quantized_decomposed_dequantize_per_tensor_default_859: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_540, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_540 = None 2025-03-21T20:31:48.8421121Z 2025-03-21T20:31:48.8421882Z # 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) 2025-03-21T20:31:48.8423336Z aten_index_put_default_7: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_123, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_807); quantized_decomposed_dequantize_per_tensor_default_123 = quantized_decomposed_dequantize_per_tensor_default_807 = None 2025-03-21T20:31:48.8427232Z quantized_decomposed_quantize_per_tensor_default_541: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_7, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_index_put_default_7 = None 2025-03-21T20:31:48.8427328Z 2025-03-21T20:31:48.8428226Z # File: .50:2128 in forward, code: dequantize_per_tensor_default_693 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_693, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8429354Z quantized_decomposed_dequantize_per_tensor_default_860: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8429501Z 2025-03-21T20:31:48.8430219Z # 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) 2025-03-21T20:31:48.8431313Z quantized_decomposed_dequantize_per_tensor_default_861: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8432374Z quantized_decomposed_dequantize_per_tensor_default_862: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8433527Z quantized_decomposed_dequantize_per_tensor_default_863: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8434579Z quantized_decomposed_dequantize_per_tensor_default_864: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8435653Z quantized_decomposed_dequantize_per_tensor_default_865: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8436715Z quantized_decomposed_dequantize_per_tensor_default_866: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8437778Z quantized_decomposed_dequantize_per_tensor_default_867: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8438825Z quantized_decomposed_dequantize_per_tensor_default_868: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8439873Z quantized_decomposed_dequantize_per_tensor_default_869: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8440902Z quantized_decomposed_dequantize_per_tensor_default_870: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8442016Z quantized_decomposed_dequantize_per_tensor_default_871: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32) 2025-03-21T20:31:48.8443347Z quantized_decomposed_dequantize_per_tensor_default_872: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_541, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_541 = None 2025-03-21T20:31:48.8443512Z 2025-03-21T20:31:48.8444224Z # 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) 2025-03-21T20:31:48.8445142Z aten_permute_copy_default_130: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_859, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_859 = None 2025-03-21T20:31:48.8446212Z quantized_decomposed_quantize_per_tensor_default_542: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_130, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_130 = None 2025-03-21T20:31:48.8447536Z quantized_decomposed_dequantize_per_tensor_default_873: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_542, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_542 = None 2025-03-21T20:31:48.8448367Z aten_select_copy_int_144: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_873, 0, 0); quantized_decomposed_dequantize_per_tensor_default_873 = None 2025-03-21T20:31:48.8449422Z quantized_decomposed_quantize_per_tensor_default_543: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_144, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_144 = None 2025-03-21T20:31:48.8450720Z quantized_decomposed_dequantize_per_tensor_default_874: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_543, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_543 = None 2025-03-21T20:31:48.8451555Z aten_select_copy_int_145: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_874, 0, 0); quantized_decomposed_dequantize_per_tensor_default_874 = None 2025-03-21T20:31:48.8452559Z quantized_decomposed_quantize_per_tensor_default_544: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_145, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_145 = None 2025-03-21T20:31:48.8452666Z 2025-03-21T20:31:48.8453711Z # File: .50:2149 in forward, code: dequantize_per_tensor_default_696 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_696, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_696 = None 2025-03-21T20:31:48.8455026Z quantized_decomposed_dequantize_per_tensor_default_875: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_544, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_544 = None 2025-03-21T20:31:48.8455156Z 2025-03-21T20:31:48.8455879Z # 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) 2025-03-21T20:31:48.8456805Z aten_permute_copy_default_131: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_858, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_858 = None 2025-03-21T20:31:48.8457908Z quantized_decomposed_quantize_per_tensor_default_545: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_131, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_131 = None 2025-03-21T20:31:48.8459210Z quantized_decomposed_dequantize_per_tensor_default_876: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_545, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_545 = None 2025-03-21T20:31:48.8460056Z aten_select_copy_int_146: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_876, 0, 0); quantized_decomposed_dequantize_per_tensor_default_876 = None 2025-03-21T20:31:48.8461074Z quantized_decomposed_quantize_per_tensor_default_546: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_146, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_146 = None 2025-03-21T20:31:48.8462389Z quantized_decomposed_dequantize_per_tensor_default_877: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_546, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_546 = None 2025-03-21T20:31:48.8463231Z aten_select_copy_int_147: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_877, 0, 1); quantized_decomposed_dequantize_per_tensor_default_877 = None 2025-03-21T20:31:48.8464233Z quantized_decomposed_quantize_per_tensor_default_547: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_147, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_147 = None 2025-03-21T20:31:48.8464332Z 2025-03-21T20:31:48.8465385Z # File: .50:2158 in forward, code: dequantize_per_tensor_default_699 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_699, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_699 = None 2025-03-21T20:31:48.8466947Z quantized_decomposed_dequantize_per_tensor_default_878: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_547, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_547 = None 2025-03-21T20:31:48.8467047Z 2025-03-21T20:31:48.8467771Z # 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) 2025-03-21T20:31:48.8468724Z aten_permute_copy_default_132: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_857, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_857 = None 2025-03-21T20:31:48.8469802Z quantized_decomposed_quantize_per_tensor_default_548: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_132, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_132 = None 2025-03-21T20:31:48.8471179Z quantized_decomposed_dequantize_per_tensor_default_879: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_548, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_548 = None 2025-03-21T20:31:48.8472019Z aten_select_copy_int_148: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_879, 0, 0); quantized_decomposed_dequantize_per_tensor_default_879 = None 2025-03-21T20:31:48.8473112Z quantized_decomposed_quantize_per_tensor_default_549: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_148, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_148 = None 2025-03-21T20:31:48.8474427Z quantized_decomposed_dequantize_per_tensor_default_880: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_549, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_549 = None 2025-03-21T20:31:48.8475249Z aten_select_copy_int_149: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_880, 0, 2); quantized_decomposed_dequantize_per_tensor_default_880 = None 2025-03-21T20:31:48.8476301Z quantized_decomposed_quantize_per_tensor_default_550: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_149, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_149 = None 2025-03-21T20:31:48.8476397Z 2025-03-21T20:31:48.8477458Z # File: .50:2167 in forward, code: dequantize_per_tensor_default_702 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_702, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_702 = None 2025-03-21T20:31:48.8478750Z quantized_decomposed_dequantize_per_tensor_default_881: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_550, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_550 = None 2025-03-21T20:31:48.8478854Z 2025-03-21T20:31:48.8479568Z # 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) 2025-03-21T20:31:48.8480483Z aten_permute_copy_default_133: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_856, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_856 = None 2025-03-21T20:31:48.8481543Z quantized_decomposed_quantize_per_tensor_default_551: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_133, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_133 = None 2025-03-21T20:31:48.8482889Z quantized_decomposed_dequantize_per_tensor_default_882: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_551, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_551 = None 2025-03-21T20:31:48.8483723Z aten_select_copy_int_150: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_882, 0, 0); quantized_decomposed_dequantize_per_tensor_default_882 = None 2025-03-21T20:31:48.8484801Z quantized_decomposed_quantize_per_tensor_default_552: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_150, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_150 = None 2025-03-21T20:31:48.8486105Z quantized_decomposed_dequantize_per_tensor_default_883: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_552, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_552 = None 2025-03-21T20:31:48.8486941Z aten_select_copy_int_151: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_883, 0, 3); quantized_decomposed_dequantize_per_tensor_default_883 = None 2025-03-21T20:31:48.8487946Z quantized_decomposed_quantize_per_tensor_default_553: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_151, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_151 = None 2025-03-21T20:31:48.8488052Z 2025-03-21T20:31:48.8489085Z # File: .50:2176 in forward, code: dequantize_per_tensor_default_705 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_705, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_705 = None 2025-03-21T20:31:48.8490414Z quantized_decomposed_dequantize_per_tensor_default_884: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_553, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_553 = None 2025-03-21T20:31:48.8490506Z 2025-03-21T20:31:48.8491229Z # 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) 2025-03-21T20:31:48.8492127Z aten_permute_copy_default_134: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_855, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_855 = None 2025-03-21T20:31:48.8493205Z quantized_decomposed_quantize_per_tensor_default_554: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_134, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_134 = None 2025-03-21T20:31:48.8494514Z quantized_decomposed_dequantize_per_tensor_default_885: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_554, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_554 = None 2025-03-21T20:31:48.8495359Z aten_select_copy_int_152: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_885, 0, 0); quantized_decomposed_dequantize_per_tensor_default_885 = None 2025-03-21T20:31:48.8496405Z quantized_decomposed_quantize_per_tensor_default_555: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_152, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_152 = None 2025-03-21T20:31:48.8497706Z quantized_decomposed_dequantize_per_tensor_default_886: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_555, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_555 = None 2025-03-21T20:31:48.8498593Z aten_select_copy_int_153: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_886, 0, 4); quantized_decomposed_dequantize_per_tensor_default_886 = None 2025-03-21T20:31:48.8499604Z quantized_decomposed_quantize_per_tensor_default_556: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_153, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_153 = None 2025-03-21T20:31:48.8499707Z 2025-03-21T20:31:48.8500752Z # File: .50:2185 in forward, code: dequantize_per_tensor_default_708 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_708, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_708 = None 2025-03-21T20:31:48.8502059Z quantized_decomposed_dequantize_per_tensor_default_887: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_556, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_556 = None 2025-03-21T20:31:48.8502157Z 2025-03-21T20:31:48.8502882Z # 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) 2025-03-21T20:31:48.8503805Z aten_permute_copy_default_135: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_854, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_854 = None 2025-03-21T20:31:48.8504883Z quantized_decomposed_quantize_per_tensor_default_557: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_135, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_135 = None 2025-03-21T20:31:48.8506182Z quantized_decomposed_dequantize_per_tensor_default_888: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_557, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_557 = None 2025-03-21T20:31:48.8507027Z aten_select_copy_int_154: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_888, 0, 0); quantized_decomposed_dequantize_per_tensor_default_888 = None 2025-03-21T20:31:48.8508037Z quantized_decomposed_quantize_per_tensor_default_558: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_154, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_154 = None 2025-03-21T20:31:48.8509347Z quantized_decomposed_dequantize_per_tensor_default_889: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_558, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_558 = None 2025-03-21T20:31:48.8510200Z aten_select_copy_int_155: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_889, 0, 5); quantized_decomposed_dequantize_per_tensor_default_889 = None 2025-03-21T20:31:48.8511223Z quantized_decomposed_quantize_per_tensor_default_559: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_155, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_155 = None 2025-03-21T20:31:48.8511343Z 2025-03-21T20:31:48.8512423Z # File: .50:2194 in forward, code: dequantize_per_tensor_default_711 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_711, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_711 = None 2025-03-21T20:31:48.8513796Z quantized_decomposed_dequantize_per_tensor_default_890: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_559, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_559 = None 2025-03-21T20:31:48.8513899Z 2025-03-21T20:31:48.8514615Z # 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) 2025-03-21T20:31:48.8515523Z aten_permute_copy_default_136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_853, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_853 = None 2025-03-21T20:31:48.8516582Z quantized_decomposed_quantize_per_tensor_default_560: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_136, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_136 = None 2025-03-21T20:31:48.8517923Z quantized_decomposed_dequantize_per_tensor_default_891: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_560, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_560 = None 2025-03-21T20:31:48.8518757Z aten_select_copy_int_156: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_891, 0, 0); quantized_decomposed_dequantize_per_tensor_default_891 = None 2025-03-21T20:31:48.8519771Z quantized_decomposed_quantize_per_tensor_default_561: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_156, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_156 = None 2025-03-21T20:31:48.8521067Z quantized_decomposed_dequantize_per_tensor_default_892: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_561, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_561 = None 2025-03-21T20:31:48.8521904Z aten_select_copy_int_157: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_892, 0, 6); quantized_decomposed_dequantize_per_tensor_default_892 = None 2025-03-21T20:31:48.8522903Z quantized_decomposed_quantize_per_tensor_default_562: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_157, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_157 = None 2025-03-21T20:31:48.8523049Z 2025-03-21T20:31:48.8524088Z # File: .50:2203 in forward, code: dequantize_per_tensor_default_714 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_714, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_714 = None 2025-03-21T20:31:48.8525418Z quantized_decomposed_dequantize_per_tensor_default_893: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_562, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_562 = None 2025-03-21T20:31:48.8525508Z 2025-03-21T20:31:48.8526258Z # 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) 2025-03-21T20:31:48.8527162Z aten_permute_copy_default_137: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_852, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_852 = None 2025-03-21T20:31:48.8528236Z quantized_decomposed_quantize_per_tensor_default_563: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_137, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_137 = None 2025-03-21T20:31:48.8529559Z quantized_decomposed_dequantize_per_tensor_default_894: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_563, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_563 = None 2025-03-21T20:31:48.8530396Z aten_select_copy_int_158: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_894, 0, 0); quantized_decomposed_dequantize_per_tensor_default_894 = None 2025-03-21T20:31:48.8531448Z quantized_decomposed_quantize_per_tensor_default_564: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_158, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_158 = None 2025-03-21T20:31:48.8532751Z quantized_decomposed_dequantize_per_tensor_default_895: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_564, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_564 = None 2025-03-21T20:31:48.8533581Z aten_select_copy_int_159: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_895, 0, 7); quantized_decomposed_dequantize_per_tensor_default_895 = None 2025-03-21T20:31:48.8534591Z quantized_decomposed_quantize_per_tensor_default_565: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_159, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_159 = None 2025-03-21T20:31:48.8534697Z 2025-03-21T20:31:48.8535749Z # File: .50:2212 in forward, code: dequantize_per_tensor_default_717 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_717, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_717 = None 2025-03-21T20:31:48.8537048Z quantized_decomposed_dequantize_per_tensor_default_896: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_565, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_565 = None 2025-03-21T20:31:48.8537169Z 2025-03-21T20:31:48.8537891Z # 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) 2025-03-21T20:31:48.8538819Z aten_permute_copy_default_138: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_851, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_851 = None 2025-03-21T20:31:48.8539918Z quantized_decomposed_quantize_per_tensor_default_566: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_138, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_138 = None 2025-03-21T20:31:48.8541232Z quantized_decomposed_dequantize_per_tensor_default_897: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_566, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_566 = None 2025-03-21T20:31:48.8542074Z aten_select_copy_int_160: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_897, 0, 0); quantized_decomposed_dequantize_per_tensor_default_897 = None 2025-03-21T20:31:48.8543080Z quantized_decomposed_quantize_per_tensor_default_567: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_160, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_160 = None 2025-03-21T20:31:48.8544415Z quantized_decomposed_dequantize_per_tensor_default_898: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_567, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_567 = None 2025-03-21T20:31:48.8545242Z aten_select_copy_int_161: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_898, 0, 8); quantized_decomposed_dequantize_per_tensor_default_898 = None 2025-03-21T20:31:48.8546270Z quantized_decomposed_quantize_per_tensor_default_568: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_161, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_161 = None 2025-03-21T20:31:48.8546362Z 2025-03-21T20:31:48.8547409Z # File: .50:2221 in forward, code: dequantize_per_tensor_default_720 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_720, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_720 = None 2025-03-21T20:31:48.8548696Z quantized_decomposed_dequantize_per_tensor_default_899: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_568, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_568 = None 2025-03-21T20:31:48.8548803Z 2025-03-21T20:31:48.8549518Z # 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) 2025-03-21T20:31:48.8550451Z aten_permute_copy_default_139: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_850, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_850 = None 2025-03-21T20:31:48.8551512Z quantized_decomposed_quantize_per_tensor_default_569: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_139, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_139 = None 2025-03-21T20:31:48.8552983Z quantized_decomposed_dequantize_per_tensor_default_900: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_569, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_569 = None 2025-03-21T20:31:48.8553819Z aten_select_copy_int_162: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_900, 0, 0); quantized_decomposed_dequantize_per_tensor_default_900 = None 2025-03-21T20:31:48.8554847Z quantized_decomposed_quantize_per_tensor_default_570: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_162, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_162 = None 2025-03-21T20:31:48.8556148Z quantized_decomposed_dequantize_per_tensor_default_901: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_570, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_570 = None 2025-03-21T20:31:48.8556981Z aten_select_copy_int_163: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_901, 0, 9); quantized_decomposed_dequantize_per_tensor_default_901 = None 2025-03-21T20:31:48.8558022Z quantized_decomposed_quantize_per_tensor_default_571: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_163, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_163 = None 2025-03-21T20:31:48.8558120Z 2025-03-21T20:31:48.8559152Z # File: .50:2230 in forward, code: dequantize_per_tensor_default_723 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_723, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_723 = None 2025-03-21T20:31:48.8560462Z quantized_decomposed_dequantize_per_tensor_default_902: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_571, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_571 = None 2025-03-21T20:31:48.8560553Z 2025-03-21T20:31:48.8561277Z # 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) 2025-03-21T20:31:48.8562176Z aten_permute_copy_default_140: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_849, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_849 = None 2025-03-21T20:31:48.8563260Z quantized_decomposed_quantize_per_tensor_default_572: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_140, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_140 = None 2025-03-21T20:31:48.8564599Z quantized_decomposed_dequantize_per_tensor_default_903: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_572, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_572 = None 2025-03-21T20:31:48.8565433Z aten_select_copy_int_164: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_903, 0, 0); quantized_decomposed_dequantize_per_tensor_default_903 = None 2025-03-21T20:31:48.8566497Z quantized_decomposed_quantize_per_tensor_default_573: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_164, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_164 = None 2025-03-21T20:31:48.8567973Z quantized_decomposed_dequantize_per_tensor_default_904: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_573, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_573 = None 2025-03-21T20:31:48.8568821Z aten_select_copy_int_165: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_904, 0, 10); quantized_decomposed_dequantize_per_tensor_default_904 = None 2025-03-21T20:31:48.8569833Z quantized_decomposed_quantize_per_tensor_default_574: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_165, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_165 = None 2025-03-21T20:31:48.8569937Z 2025-03-21T20:31:48.8570983Z # File: .50:2239 in forward, code: dequantize_per_tensor_default_726 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_726, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_726 = None 2025-03-21T20:31:48.8572358Z quantized_decomposed_dequantize_per_tensor_default_905: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_574, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_574 = None 2025-03-21T20:31:48.8572455Z 2025-03-21T20:31:48.8573173Z # 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) 2025-03-21T20:31:48.8574080Z aten_permute_copy_default_141: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_848, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_848 = None 2025-03-21T20:31:48.8575167Z quantized_decomposed_quantize_per_tensor_default_575: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_141, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_141 = None 2025-03-21T20:31:48.8576467Z quantized_decomposed_dequantize_per_tensor_default_906: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_575, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_575 = None 2025-03-21T20:31:48.8577310Z aten_select_copy_int_166: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_906, 0, 0); quantized_decomposed_dequantize_per_tensor_default_906 = None 2025-03-21T20:31:48.8578367Z quantized_decomposed_quantize_per_tensor_default_576: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_166, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_166 = None 2025-03-21T20:31:48.8579693Z quantized_decomposed_dequantize_per_tensor_default_907: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_576, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_576 = None 2025-03-21T20:31:48.8580599Z aten_select_copy_int_167: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_907, 0, 11); quantized_decomposed_dequantize_per_tensor_default_907 = None 2025-03-21T20:31:48.8581629Z quantized_decomposed_quantize_per_tensor_default_577: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_167, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_select_copy_int_167 = None 2025-03-21T20:31:48.8581722Z 2025-03-21T20:31:48.8582776Z # File: .50:2248 in forward, code: dequantize_per_tensor_default_729 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_729, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_729 = None 2025-03-21T20:31:48.8584076Z quantized_decomposed_dequantize_per_tensor_default_908: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_577, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_577 = None 2025-03-21T20:31:48.8584177Z 2025-03-21T20:31:48.8584888Z # 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) 2025-03-21T20:31:48.8591087Z aten_cat_default_14: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_875, quantized_decomposed_dequantize_per_tensor_default_878, quantized_decomposed_dequantize_per_tensor_default_881, quantized_decomposed_dequantize_per_tensor_default_884, quantized_decomposed_dequantize_per_tensor_default_887, quantized_decomposed_dequantize_per_tensor_default_890, quantized_decomposed_dequantize_per_tensor_default_893, quantized_decomposed_dequantize_per_tensor_default_896, quantized_decomposed_dequantize_per_tensor_default_899, quantized_decomposed_dequantize_per_tensor_default_902, quantized_decomposed_dequantize_per_tensor_default_905, quantized_decomposed_dequantize_per_tensor_default_908]); quantized_decomposed_dequantize_per_tensor_default_875 = quantized_decomposed_dequantize_per_tensor_default_878 = quantized_decomposed_dequantize_per_tensor_default_881 = quantized_decomposed_dequantize_per_tensor_default_884 = quantized_decomposed_dequantize_per_tensor_default_887 = quantized_decomposed_dequantize_per_tensor_default_890 = quantized_decomposed_dequantize_per_tensor_default_893 = quantized_decomposed_dequantize_per_tensor_default_896 = quantized_decomposed_dequantize_per_tensor_default_899 = quantized_decomposed_dequantize_per_tensor_default_902 = quantized_decomposed_dequantize_per_tensor_default_905 = quantized_decomposed_dequantize_per_tensor_default_908 = None 2025-03-21T20:31:48.8592089Z quantized_decomposed_quantize_per_tensor_default_578: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_14, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_cat_default_14 = None 2025-03-21T20:31:48.8593486Z quantized_decomposed_dequantize_per_tensor_default_909: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_578, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_578 = None 2025-03-21T20:31:48.8594368Z aten_view_copy_default_63: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_909, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_909 = None 2025-03-21T20:31:48.8595460Z quantized_decomposed_quantize_per_tensor_default_579: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_63, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_view_copy_default_63 = None 2025-03-21T20:31:48.8595559Z 2025-03-21T20:31:48.8596201Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.8597518Z quantized_decomposed_dequantize_per_tensor_default_910: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_579, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_579 = None 2025-03-21T20:31:48.8597612Z 2025-03-21T20:31:48.8598337Z # 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) 2025-03-21T20:31:48.8599234Z aten_permute_copy_default_142: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_872, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_872 = None 2025-03-21T20:31:48.8600345Z quantized_decomposed_quantize_per_tensor_default_580: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_142, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_142 = None 2025-03-21T20:31:48.8601653Z quantized_decomposed_dequantize_per_tensor_default_911: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_580, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_580 = None 2025-03-21T20:31:48.8602496Z aten_select_copy_int_168: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_911, 0, 0); quantized_decomposed_dequantize_per_tensor_default_911 = None 2025-03-21T20:31:48.8603518Z quantized_decomposed_quantize_per_tensor_default_581: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_168, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_168 = None 2025-03-21T20:31:48.8604820Z quantized_decomposed_dequantize_per_tensor_default_912: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_581, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_581 = None 2025-03-21T20:31:48.8605647Z aten_select_copy_int_169: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_912, 0, 0); quantized_decomposed_dequantize_per_tensor_default_912 = None 2025-03-21T20:31:48.8606685Z quantized_decomposed_quantize_per_tensor_default_582: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_169, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_169 = None 2025-03-21T20:31:48.8606787Z 2025-03-21T20:31:48.8607838Z # File: .50:2263 in forward, code: dequantize_per_tensor_default_734 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_734, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_734 = None 2025-03-21T20:31:48.8609205Z quantized_decomposed_dequantize_per_tensor_default_913: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_582, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_582 = None 2025-03-21T20:31:48.8609303Z 2025-03-21T20:31:48.8610028Z # 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) 2025-03-21T20:31:48.8610933Z aten_permute_copy_default_143: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_871, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_871 = None 2025-03-21T20:31:48.8612016Z quantized_decomposed_quantize_per_tensor_default_583: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_143, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_143 = None 2025-03-21T20:31:48.8613325Z quantized_decomposed_dequantize_per_tensor_default_914: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_583, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_583 = None 2025-03-21T20:31:48.8614192Z aten_select_copy_int_170: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_914, 0, 0); quantized_decomposed_dequantize_per_tensor_default_914 = None 2025-03-21T20:31:48.8615209Z quantized_decomposed_quantize_per_tensor_default_584: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_170, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_170 = None 2025-03-21T20:31:48.8616520Z quantized_decomposed_dequantize_per_tensor_default_915: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_584, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_584 = None 2025-03-21T20:31:48.8617348Z aten_select_copy_int_171: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_915, 0, 1); quantized_decomposed_dequantize_per_tensor_default_915 = None 2025-03-21T20:31:48.8618370Z quantized_decomposed_quantize_per_tensor_default_585: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_171, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_171 = None 2025-03-21T20:31:48.8618468Z 2025-03-21T20:31:48.8619525Z # File: .50:2272 in forward, code: dequantize_per_tensor_default_737 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_737, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_737 = None 2025-03-21T20:31:48.8620864Z quantized_decomposed_dequantize_per_tensor_default_916: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_585, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_585 = None 2025-03-21T20:31:48.8620961Z 2025-03-21T20:31:48.8621715Z # 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) 2025-03-21T20:31:48.8622657Z aten_permute_copy_default_144: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_870, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_870 = None 2025-03-21T20:31:48.8623747Z quantized_decomposed_quantize_per_tensor_default_586: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_144, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_144 = None 2025-03-21T20:31:48.8625056Z quantized_decomposed_dequantize_per_tensor_default_917: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_586, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_586 = None 2025-03-21T20:31:48.8625906Z aten_select_copy_int_172: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_917, 0, 0); quantized_decomposed_dequantize_per_tensor_default_917 = None 2025-03-21T20:31:48.8626930Z quantized_decomposed_quantize_per_tensor_default_587: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_172, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_172 = None 2025-03-21T20:31:48.8628281Z quantized_decomposed_dequantize_per_tensor_default_918: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_587, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_587 = None 2025-03-21T20:31:48.8629107Z aten_select_copy_int_173: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_918, 0, 2); quantized_decomposed_dequantize_per_tensor_default_918 = None 2025-03-21T20:31:48.8630131Z quantized_decomposed_quantize_per_tensor_default_588: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_173, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_173 = None 2025-03-21T20:31:48.8630229Z 2025-03-21T20:31:48.8631284Z # File: .50:2281 in forward, code: dequantize_per_tensor_default_740 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_740, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_740 = None 2025-03-21T20:31:48.8632581Z quantized_decomposed_dequantize_per_tensor_default_919: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_588, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_588 = None 2025-03-21T20:31:48.8632691Z 2025-03-21T20:31:48.8633508Z # 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) 2025-03-21T20:31:48.8634461Z aten_permute_copy_default_145: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_869, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_869 = None 2025-03-21T20:31:48.8635541Z quantized_decomposed_quantize_per_tensor_default_589: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_145, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_145 = None 2025-03-21T20:31:48.8636918Z quantized_decomposed_dequantize_per_tensor_default_920: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_589, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_589 = None 2025-03-21T20:31:48.8637756Z aten_select_copy_int_174: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_920, 0, 0); quantized_decomposed_dequantize_per_tensor_default_920 = None 2025-03-21T20:31:48.8638793Z quantized_decomposed_quantize_per_tensor_default_590: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_174, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_174 = None 2025-03-21T20:31:48.8640109Z quantized_decomposed_dequantize_per_tensor_default_921: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_590, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_590 = None 2025-03-21T20:31:48.8640962Z aten_select_copy_int_175: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_921, 0, 3); quantized_decomposed_dequantize_per_tensor_default_921 = None 2025-03-21T20:31:48.8642007Z quantized_decomposed_quantize_per_tensor_default_591: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_175, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_175 = None 2025-03-21T20:31:48.8642119Z 2025-03-21T20:31:48.8643163Z # File: .50:2290 in forward, code: dequantize_per_tensor_default_743 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_743, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_743 = None 2025-03-21T20:31:48.8644480Z quantized_decomposed_dequantize_per_tensor_default_922: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_591, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_591 = None 2025-03-21T20:31:48.8644580Z 2025-03-21T20:31:48.8645309Z # 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) 2025-03-21T20:31:48.8646213Z aten_permute_copy_default_146: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_868, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_868 = None 2025-03-21T20:31:48.8647306Z quantized_decomposed_quantize_per_tensor_default_592: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_146, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_146 = None 2025-03-21T20:31:48.8648643Z quantized_decomposed_dequantize_per_tensor_default_923: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_592, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_592 = None 2025-03-21T20:31:48.8649510Z aten_select_copy_int_176: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_923, 0, 0); quantized_decomposed_dequantize_per_tensor_default_923 = None 2025-03-21T20:31:48.8650573Z quantized_decomposed_quantize_per_tensor_default_593: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_176, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_176 = None 2025-03-21T20:31:48.8651876Z quantized_decomposed_dequantize_per_tensor_default_924: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_593, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_593 = None 2025-03-21T20:31:48.8652722Z aten_select_copy_int_177: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_924, 0, 4); quantized_decomposed_dequantize_per_tensor_default_924 = None 2025-03-21T20:31:48.8653722Z quantized_decomposed_quantize_per_tensor_default_594: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_177, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_177 = None 2025-03-21T20:31:48.8653834Z 2025-03-21T20:31:48.8654882Z # File: .50:2299 in forward, code: dequantize_per_tensor_default_746 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_746, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_746 = None 2025-03-21T20:31:48.8656219Z quantized_decomposed_dequantize_per_tensor_default_925: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_594, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_594 = None 2025-03-21T20:31:48.8656317Z 2025-03-21T20:31:48.8657043Z # 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) 2025-03-21T20:31:48.8657948Z aten_permute_copy_default_147: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_867, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_867 = None 2025-03-21T20:31:48.8659036Z quantized_decomposed_quantize_per_tensor_default_595: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_147, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_147 = None 2025-03-21T20:31:48.8660343Z quantized_decomposed_dequantize_per_tensor_default_926: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_595, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_595 = None 2025-03-21T20:31:48.8661233Z aten_select_copy_int_178: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_926, 0, 0); quantized_decomposed_dequantize_per_tensor_default_926 = None 2025-03-21T20:31:48.8662251Z quantized_decomposed_quantize_per_tensor_default_596: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_178, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_178 = None 2025-03-21T20:31:48.8663620Z quantized_decomposed_dequantize_per_tensor_default_927: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_596, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_596 = None 2025-03-21T20:31:48.8664465Z aten_select_copy_int_179: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_927, 0, 5); quantized_decomposed_dequantize_per_tensor_default_927 = None 2025-03-21T20:31:48.8665494Z quantized_decomposed_quantize_per_tensor_default_597: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_179, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_179 = None 2025-03-21T20:31:48.8665589Z 2025-03-21T20:31:48.8666822Z # File: .50:2308 in forward, code: dequantize_per_tensor_default_749 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_749, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_749 = None 2025-03-21T20:31:48.8668127Z quantized_decomposed_dequantize_per_tensor_default_928: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_597, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_597 = None 2025-03-21T20:31:48.8668243Z 2025-03-21T20:31:48.8669010Z # 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) 2025-03-21T20:31:48.8669929Z aten_permute_copy_default_148: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_866, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_866 = None 2025-03-21T20:31:48.8671003Z quantized_decomposed_quantize_per_tensor_default_598: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_148, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_148 = None 2025-03-21T20:31:48.8672327Z quantized_decomposed_dequantize_per_tensor_default_929: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_598, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_598 = None 2025-03-21T20:31:48.8673236Z aten_select_copy_int_180: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_929, 0, 0); quantized_decomposed_dequantize_per_tensor_default_929 = None 2025-03-21T20:31:48.8674267Z quantized_decomposed_quantize_per_tensor_default_599: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_180, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_180 = None 2025-03-21T20:31:48.8675613Z quantized_decomposed_dequantize_per_tensor_default_930: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_599, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_599 = None 2025-03-21T20:31:48.8676456Z aten_select_copy_int_181: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_930, 0, 6); quantized_decomposed_dequantize_per_tensor_default_930 = None 2025-03-21T20:31:48.8677535Z quantized_decomposed_quantize_per_tensor_default_600: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_181, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_181 = None 2025-03-21T20:31:48.8677667Z 2025-03-21T20:31:48.8678725Z # File: .50:2317 in forward, code: dequantize_per_tensor_default_752 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_752, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_752 = None 2025-03-21T20:31:48.8680047Z quantized_decomposed_dequantize_per_tensor_default_931: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_600, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_600 = None 2025-03-21T20:31:48.8680146Z 2025-03-21T20:31:48.8680876Z # 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) 2025-03-21T20:31:48.8681782Z aten_permute_copy_default_149: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_865, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_865 = None 2025-03-21T20:31:48.8682895Z quantized_decomposed_quantize_per_tensor_default_601: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_149, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_149 = None 2025-03-21T20:31:48.8684212Z quantized_decomposed_dequantize_per_tensor_default_932: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_601, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_601 = None 2025-03-21T20:31:48.8685049Z aten_select_copy_int_182: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_932, 0, 0); quantized_decomposed_dequantize_per_tensor_default_932 = None 2025-03-21T20:31:48.8686073Z quantized_decomposed_quantize_per_tensor_default_602: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_182, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_182 = None 2025-03-21T20:31:48.8687373Z quantized_decomposed_dequantize_per_tensor_default_933: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_602, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_602 = None 2025-03-21T20:31:48.8688217Z aten_select_copy_int_183: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_933, 0, 7); quantized_decomposed_dequantize_per_tensor_default_933 = None 2025-03-21T20:31:48.8689259Z quantized_decomposed_quantize_per_tensor_default_603: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_183, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_183 = None 2025-03-21T20:31:48.8689363Z 2025-03-21T20:31:48.8690405Z # File: .50:2326 in forward, code: dequantize_per_tensor_default_755 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_755, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_755 = None 2025-03-21T20:31:48.8691764Z quantized_decomposed_dequantize_per_tensor_default_934: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_603, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_603 = None 2025-03-21T20:31:48.8691863Z 2025-03-21T20:31:48.8692589Z # 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) 2025-03-21T20:31:48.8693489Z aten_permute_copy_default_150: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_864, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_864 = None 2025-03-21T20:31:48.8694575Z quantized_decomposed_quantize_per_tensor_default_604: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_150, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_150 = None 2025-03-21T20:31:48.8695881Z quantized_decomposed_dequantize_per_tensor_default_935: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_604, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_604 = None 2025-03-21T20:31:48.8696750Z aten_select_copy_int_184: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_935, 0, 0); quantized_decomposed_dequantize_per_tensor_default_935 = None 2025-03-21T20:31:48.8697773Z quantized_decomposed_quantize_per_tensor_default_605: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_184, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_184 = None 2025-03-21T20:31:48.8699091Z quantized_decomposed_dequantize_per_tensor_default_936: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_605, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_605 = None 2025-03-21T20:31:48.8699916Z aten_select_copy_int_185: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_936, 0, 8); quantized_decomposed_dequantize_per_tensor_default_936 = None 2025-03-21T20:31:48.8700936Z quantized_decomposed_quantize_per_tensor_default_606: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_185, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_185 = None 2025-03-21T20:31:48.8701033Z 2025-03-21T20:31:48.8702098Z # File: .50:2335 in forward, code: dequantize_per_tensor_default_758 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_758, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_758 = None 2025-03-21T20:31:48.8703429Z quantized_decomposed_dequantize_per_tensor_default_937: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_606, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_606 = None 2025-03-21T20:31:48.8703561Z 2025-03-21T20:31:48.8704279Z # 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) 2025-03-21T20:31:48.8705216Z aten_permute_copy_default_151: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_863, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_863 = None 2025-03-21T20:31:48.8706281Z quantized_decomposed_quantize_per_tensor_default_607: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_151, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_151 = None 2025-03-21T20:31:48.8707604Z quantized_decomposed_dequantize_per_tensor_default_938: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_607, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_607 = None 2025-03-21T20:31:48.8708431Z aten_select_copy_int_186: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_938, 0, 0); quantized_decomposed_dequantize_per_tensor_default_938 = None 2025-03-21T20:31:48.8709463Z quantized_decomposed_quantize_per_tensor_default_608: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_186, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_186 = None 2025-03-21T20:31:48.8710786Z quantized_decomposed_dequantize_per_tensor_default_939: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_608, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_608 = None 2025-03-21T20:31:48.8711625Z aten_select_copy_int_187: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_939, 0, 9); quantized_decomposed_dequantize_per_tensor_default_939 = None 2025-03-21T20:31:48.8712650Z quantized_decomposed_quantize_per_tensor_default_609: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_187, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_187 = None 2025-03-21T20:31:48.8712748Z 2025-03-21T20:31:48.8713866Z # File: .50:2344 in forward, code: dequantize_per_tensor_default_761 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_761, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_761 = None 2025-03-21T20:31:48.8715186Z quantized_decomposed_dequantize_per_tensor_default_940: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_609, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_609 = None 2025-03-21T20:31:48.8715293Z 2025-03-21T20:31:48.8716008Z # 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) 2025-03-21T20:31:48.8716931Z aten_permute_copy_default_152: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_862, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_862 = None 2025-03-21T20:31:48.8718023Z quantized_decomposed_quantize_per_tensor_default_610: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_152, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_152 = None 2025-03-21T20:31:48.8719410Z quantized_decomposed_dequantize_per_tensor_default_941: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_610, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_610 = None 2025-03-21T20:31:48.8720238Z aten_select_copy_int_188: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_941, 0, 0); quantized_decomposed_dequantize_per_tensor_default_941 = None 2025-03-21T20:31:48.8721267Z quantized_decomposed_quantize_per_tensor_default_611: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_188, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_188 = None 2025-03-21T20:31:48.8722568Z quantized_decomposed_dequantize_per_tensor_default_942: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_611, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_611 = None 2025-03-21T20:31:48.8723413Z aten_select_copy_int_189: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_942, 0, 10); quantized_decomposed_dequantize_per_tensor_default_942 = None 2025-03-21T20:31:48.8724452Z quantized_decomposed_quantize_per_tensor_default_612: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_189, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_189 = None 2025-03-21T20:31:48.8724566Z 2025-03-21T20:31:48.8725620Z # File: .50:2353 in forward, code: dequantize_per_tensor_default_764 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_764, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_764 = None 2025-03-21T20:31:48.8726934Z quantized_decomposed_dequantize_per_tensor_default_943: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_612, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_612 = None 2025-03-21T20:31:48.8727028Z 2025-03-21T20:31:48.8727760Z # 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) 2025-03-21T20:31:48.8728666Z aten_permute_copy_default_153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_861, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_861 = None 2025-03-21T20:31:48.8729745Z quantized_decomposed_quantize_per_tensor_default_613: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_153, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_permute_copy_default_153 = None 2025-03-21T20:31:48.8731106Z quantized_decomposed_dequantize_per_tensor_default_944: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_613, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_613 = None 2025-03-21T20:31:48.8731970Z aten_select_copy_int_190: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_944, 0, 0); quantized_decomposed_dequantize_per_tensor_default_944 = None 2025-03-21T20:31:48.8733010Z quantized_decomposed_quantize_per_tensor_default_614: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_190, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_190 = None 2025-03-21T20:31:48.8734338Z quantized_decomposed_dequantize_per_tensor_default_945: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_614, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_614 = None 2025-03-21T20:31:48.8735174Z aten_select_copy_int_191: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_945, 0, 11); quantized_decomposed_dequantize_per_tensor_default_945 = None 2025-03-21T20:31:48.8736191Z quantized_decomposed_quantize_per_tensor_default_615: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_191, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_select_copy_int_191 = None 2025-03-21T20:31:48.8736288Z 2025-03-21T20:31:48.8737341Z # File: .50:2362 in forward, code: dequantize_per_tensor_default_767 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_767, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_767 = None 2025-03-21T20:31:48.8738660Z quantized_decomposed_dequantize_per_tensor_default_946: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_615, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_615 = None 2025-03-21T20:31:48.8738769Z 2025-03-21T20:31:48.8739485Z # 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) 2025-03-21T20:31:48.8745684Z aten_cat_default_15: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_913, quantized_decomposed_dequantize_per_tensor_default_916, quantized_decomposed_dequantize_per_tensor_default_919, quantized_decomposed_dequantize_per_tensor_default_922, quantized_decomposed_dequantize_per_tensor_default_925, quantized_decomposed_dequantize_per_tensor_default_928, quantized_decomposed_dequantize_per_tensor_default_931, quantized_decomposed_dequantize_per_tensor_default_934, quantized_decomposed_dequantize_per_tensor_default_937, quantized_decomposed_dequantize_per_tensor_default_940, quantized_decomposed_dequantize_per_tensor_default_943, quantized_decomposed_dequantize_per_tensor_default_946]); quantized_decomposed_dequantize_per_tensor_default_913 = quantized_decomposed_dequantize_per_tensor_default_916 = quantized_decomposed_dequantize_per_tensor_default_919 = quantized_decomposed_dequantize_per_tensor_default_922 = quantized_decomposed_dequantize_per_tensor_default_925 = quantized_decomposed_dequantize_per_tensor_default_928 = quantized_decomposed_dequantize_per_tensor_default_931 = quantized_decomposed_dequantize_per_tensor_default_934 = quantized_decomposed_dequantize_per_tensor_default_937 = quantized_decomposed_dequantize_per_tensor_default_940 = quantized_decomposed_dequantize_per_tensor_default_943 = quantized_decomposed_dequantize_per_tensor_default_946 = None 2025-03-21T20:31:48.8746737Z quantized_decomposed_quantize_per_tensor_default_616: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_15, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_cat_default_15 = None 2025-03-21T20:31:48.8748063Z quantized_decomposed_dequantize_per_tensor_default_947: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_616, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_616 = None 2025-03-21T20:31:48.8748961Z aten_view_copy_default_64: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_947, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_947 = None 2025-03-21T20:31:48.8750000Z quantized_decomposed_quantize_per_tensor_default_617: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_64, 0.00011123115109512582, 26424, 0, 65535, torch.int32); aten_view_copy_default_64 = None 2025-03-21T20:31:48.8750098Z 2025-03-21T20:31:48.8751154Z # File: .50:2368 in forward, code: dequantize_per_tensor_default_769 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_769, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantize_per_tensor_default_769 = None 2025-03-21T20:31:48.8752492Z quantized_decomposed_dequantize_per_tensor_default_948: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_617, 0.00011123115109512582, 26424, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_617 = None 2025-03-21T20:31:48.8752599Z 2025-03-21T20:31:48.8753736Z # File: .50:2369 in forward, code: quantize_per_tensor_default_770 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_769, 0.0001327675417996943, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_769 = None 2025-03-21T20:31:48.8755054Z quantized_decomposed_quantize_per_tensor_default_618: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_948, 0.0001327675417996943, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_948 = None 2025-03-21T20:31:48.8755152Z 2025-03-21T20:31:48.8755673Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.8757003Z quantized_decomposed_dequantize_per_tensor_default_949: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_618, 0.0001327675417996943, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_618 = None 2025-03-21T20:31:48.8757101Z 2025-03-21T20:31:48.8757663Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:48.8758566Z aten_index_tensor_5: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_124, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_124 = None 2025-03-21T20:31:48.8759583Z quantized_decomposed_quantize_per_tensor_default_619: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_5, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_5 = None 2025-03-21T20:31:48.8759706Z 2025-03-21T20:31:48.8760251Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.8761565Z quantized_decomposed_dequantize_per_tensor_default_950: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_619, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_619 = None 2025-03-21T20:31:48.8761672Z 2025-03-21T20:31:48.8762314Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.8763230Z aten_permute_copy_default_154: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_910, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_910 = None 2025-03-21T20:31:48.8764298Z quantized_decomposed_quantize_per_tensor_default_620: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_154, 0.0003910682280547917, 31907, 0, 65535, torch.int32); aten_permute_copy_default_154 = None 2025-03-21T20:31:48.8764405Z 2025-03-21T20:31:48.8765450Z # File: .50:2376 in forward, code: dequantize_per_tensor_default_772 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_772, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantize_per_tensor_default_772 = None 2025-03-21T20:31:48.8766995Z quantized_decomposed_dequantize_per_tensor_default_951: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_620, 0.0003910682280547917, 31907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_620 = None 2025-03-21T20:31:48.8767097Z 2025-03-21T20:31:48.8768155Z # File: .50:2377 in forward, code: quantize_per_tensor_default_773 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_772, 0.00040133832953870296, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_772 = None 2025-03-21T20:31:48.8769464Z quantized_decomposed_quantize_per_tensor_default_621: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_951, 0.00040133832953870296, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_951 = None 2025-03-21T20:31:48.8769572Z 2025-03-21T20:31:48.8770222Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.8771541Z quantized_decomposed_dequantize_per_tensor_default_952: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_621, 0.00040133832953870296, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_621 = None 2025-03-21T20:31:48.8772459Z aten_expand_copy_default_12: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_846, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_846 = None 2025-03-21T20:31:48.8773098Z 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 2025-03-21T20:31:48.8773992Z aten_expand_copy_default_13: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_952, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_952 = None 2025-03-21T20:31:48.8774692Z 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 2025-03-21T20:31:48.8775417Z 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 2025-03-21T20:31:48.8776001Z 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 2025-03-21T20:31:48.8777037Z quantized_decomposed_quantize_per_tensor_default_622: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_67, 0.0038027865812182426, 39476, 0, 65535, torch.int32); aten_view_copy_default_67 = None 2025-03-21T20:31:48.8778363Z quantized_decomposed_dequantize_per_tensor_default_953: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_622, 0.0038027865812182426, 39476, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_622 = None 2025-03-21T20:31:48.8779330Z quantized_decomposed_dequantize_per_tensor_default_954: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param152, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param152 = None 2025-03-21T20:31:48.8780649Z aten_mul_tensor_55: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_953, quantized_decomposed_dequantize_per_tensor_default_954); quantized_decomposed_dequantize_per_tensor_default_953 = quantized_decomposed_dequantize_per_tensor_default_954 = None 2025-03-21T20:31:48.8781626Z quantized_decomposed_quantize_per_tensor_default_623: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_55, 0.00047534832265228033, 39476, 0, 65535, torch.int32); aten_mul_tensor_55 = None 2025-03-21T20:31:48.8781736Z 2025-03-21T20:31:48.8782276Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.8783587Z quantized_decomposed_dequantize_per_tensor_default_955: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_623, 0.00047534832265228033, 39476, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_623 = None 2025-03-21T20:31:48.8784865Z aten_add_tensor_17: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_955, quantized_decomposed_dequantize_per_tensor_default_950); quantized_decomposed_dequantize_per_tensor_default_955 = quantized_decomposed_dequantize_per_tensor_default_950 = None 2025-03-21T20:31:48.8785869Z quantized_decomposed_quantize_per_tensor_default_624: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_17, 0.004309757146984339, 62661, 0, 65535, torch.int32); aten_add_tensor_17 = None 2025-03-21T20:31:48.8785966Z 2025-03-21T20:31:48.8786612Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:48.8787937Z quantized_decomposed_dequantize_per_tensor_default_956: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_624, 0.004309757146984339, 62661, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_624 = None 2025-03-21T20:31:48.8788850Z aten__softmax_default_3: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_956, -1, False); quantized_decomposed_dequantize_per_tensor_default_956 = None 2025-03-21T20:31:48.8789865Z quantized_decomposed_quantize_per_tensor_default_625: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_3, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_3 = None 2025-03-21T20:31:48.8789962Z 2025-03-21T20:31:48.8790481Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.8791781Z quantized_decomposed_dequantize_per_tensor_default_957: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_625, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_625 = None 2025-03-21T20:31:48.8792680Z aten_expand_copy_default_14: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_957, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_957 = None 2025-03-21T20:31:48.8793418Z 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 2025-03-21T20:31:48.8794310Z aten_expand_copy_default_15: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_949, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_949 = None 2025-03-21T20:31:48.8794958Z 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 2025-03-21T20:31:48.8795685Z 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 2025-03-21T20:31:48.8796258Z 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 2025-03-21T20:31:48.8797278Z quantized_decomposed_quantize_per_tensor_default_626: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_70, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_view_copy_default_70 = None 2025-03-21T20:31:48.8797393Z 2025-03-21T20:31:48.8798098Z # 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) 2025-03-21T20:31:48.8799434Z quantized_decomposed_dequantize_per_tensor_default_958: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_626, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_626 = None 2025-03-21T20:31:48.8800334Z aten_permute_copy_default_155: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_958, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_958 = None 2025-03-21T20:31:48.8801453Z quantized_decomposed_quantize_per_tensor_default_627: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_155, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_permute_copy_default_155 = None 2025-03-21T20:31:48.8802757Z quantized_decomposed_dequantize_per_tensor_default_959: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_627, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_627 = None 2025-03-21T20:31:48.8803620Z aten_view_copy_default_71: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_959, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_959 = None 2025-03-21T20:31:48.8804649Z quantized_decomposed_quantize_per_tensor_default_628: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_71, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_view_copy_default_71 = None 2025-03-21T20:31:48.8804750Z 2025-03-21T20:31:48.8805352Z # 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) 2025-03-21T20:31:48.8806668Z quantized_decomposed_dequantize_per_tensor_default_960: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_628, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_628 = None 2025-03-21T20:31:48.8807583Z aten_unsqueeze_copy_default_40: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_960, -1); quantized_decomposed_dequantize_per_tensor_default_960 = None 2025-03-21T20:31:48.8808648Z quantized_decomposed_quantize_per_tensor_default_629: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_40, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_unsqueeze_copy_default_40 = None 2025-03-21T20:31:48.8808761Z 2025-03-21T20:31:48.8809216Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8810508Z quantized_decomposed_dequantize_per_tensor_default_961: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_629, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_629 = None 2025-03-21T20:31:48.8811407Z aten_permute_copy_default_156: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_961, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_961 = None 2025-03-21T20:31:48.8812475Z quantized_decomposed_quantize_per_tensor_default_630: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_156, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); aten_permute_copy_default_156 = None 2025-03-21T20:31:48.8812598Z 2025-03-21T20:31:48.8813006Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8814304Z quantized_decomposed_dequantize_per_tensor_default_962: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_630, 6.451566150644794e-05, 32814, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_630 = None 2025-03-21T20:31:48.8815802Z aten_convolution_default_24: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_962, quantized_decomposed_dequantize_per_tensor_default_32, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_962 = quantized_decomposed_dequantize_per_tensor_default_32 = None 2025-03-21T20:31:48.8816855Z quantized_decomposed_quantize_per_tensor_default_631: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_24, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); aten_convolution_default_24 = None 2025-03-21T20:31:48.8816966Z 2025-03-21T20:31:48.8817435Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8818748Z quantized_decomposed_dequantize_per_tensor_default_963: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_631, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_631 = None 2025-03-21T20:31:48.8819648Z aten_permute_copy_default_157: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_963, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_963 = None 2025-03-21T20:31:48.8820745Z quantized_decomposed_quantize_per_tensor_default_632: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_157, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); aten_permute_copy_default_157 = None 2025-03-21T20:31:48.8820846Z 2025-03-21T20:31:48.8821466Z # 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]) 2025-03-21T20:31:48.8822759Z quantized_decomposed_dequantize_per_tensor_default_964: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_632, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_632 = None 2025-03-21T20:31:48.8823619Z aten_squeeze_copy_dims_40: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_964, [-1]); quantized_decomposed_dequantize_per_tensor_default_964 = None 2025-03-21T20:31:48.8824643Z quantized_decomposed_quantize_per_tensor_default_633: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_40, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); aten_squeeze_copy_dims_40 = None 2025-03-21T20:31:48.8824753Z 2025-03-21T20:31:48.8825176Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.8826508Z quantized_decomposed_dequantize_per_tensor_default_965: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_633, 5.919613249716349e-05, 40616, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_633 = None 2025-03-21T20:31:48.8827783Z aten_add_tensor_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_785, quantized_decomposed_dequantize_per_tensor_default_965); quantized_decomposed_dequantize_per_tensor_default_785 = quantized_decomposed_dequantize_per_tensor_default_965 = None 2025-03-21T20:31:48.8828811Z quantized_decomposed_quantize_per_tensor_default_634: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_18, 0.0020493771880865097, 7471, 0, 65535, torch.int32); aten_add_tensor_18 = None 2025-03-21T20:31:48.8828913Z 2025-03-21T20:31:48.8829491Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.8830533Z quantized_decomposed_dequantize_per_tensor_default_966: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_634, 0.0020493771880865097, 7471, 0, 65535, torch.int32) 2025-03-21T20:31:48.8831838Z quantized_decomposed_dequantize_per_tensor_default_967: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_634, 0.0020493771880865097, 7471, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_634 = None 2025-03-21T20:31:48.8832414Z aten_pow_tensor_scalar_7: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_967, 2) 2025-03-21T20:31:48.8833013Z 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 2025-03-21T20:31:48.8833535Z 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 2025-03-21T20:31:48.8834015Z 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 2025-03-21T20:31:48.8834983Z aten_mul_tensor_56: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_967, aten_rsqrt_default_7); quantized_decomposed_dequantize_per_tensor_default_967 = aten_rsqrt_default_7 = None 2025-03-21T20:31:48.8835905Z aten_mul_tensor_57: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_56, quantized_decomposed_dequantize_per_tensor_default_33); aten_mul_tensor_56 = quantized_decomposed_dequantize_per_tensor_default_33 = None 2025-03-21T20:31:48.8836883Z quantized_decomposed_quantize_per_tensor_default_635: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_57, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_mul_tensor_57 = None 2025-03-21T20:31:48.8836994Z 2025-03-21T20:31:48.8837578Z # 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) 2025-03-21T20:31:48.8838634Z quantized_decomposed_dequantize_per_tensor_default_968: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_635, 0.00031500012846663594, 14572, 0, 65535, torch.int32) 2025-03-21T20:31:48.8839968Z quantized_decomposed_dequantize_per_tensor_default_969: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_635, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_635 = None 2025-03-21T20:31:48.8840882Z aten_unsqueeze_copy_default_41: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_969, -1); quantized_decomposed_dequantize_per_tensor_default_969 = None 2025-03-21T20:31:48.8841999Z quantized_decomposed_quantize_per_tensor_default_636: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_41, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_unsqueeze_copy_default_41 = None 2025-03-21T20:31:48.8842112Z 2025-03-21T20:31:48.8842569Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8843891Z quantized_decomposed_dequantize_per_tensor_default_970: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_636, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_636 = None 2025-03-21T20:31:48.8844793Z aten_permute_copy_default_158: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_970, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_970 = None 2025-03-21T20:31:48.8845870Z quantized_decomposed_quantize_per_tensor_default_637: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_158, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_permute_copy_default_158 = None 2025-03-21T20:31:48.8845969Z 2025-03-21T20:31:48.8846394Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8847715Z quantized_decomposed_dequantize_per_tensor_default_971: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_637, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_637 = None 2025-03-21T20:31:48.8849192Z aten_convolution_default_25: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_971, quantized_decomposed_dequantize_per_tensor_default_34, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_971 = quantized_decomposed_dequantize_per_tensor_default_34 = None 2025-03-21T20:31:48.8850266Z quantized_decomposed_quantize_per_tensor_default_638: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_25, 0.00022086942044552416, 31371, 0, 65535, torch.int32); aten_convolution_default_25 = None 2025-03-21T20:31:48.8850374Z 2025-03-21T20:31:48.8850847Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8852165Z quantized_decomposed_dequantize_per_tensor_default_972: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_638, 0.00022086942044552416, 31371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_638 = None 2025-03-21T20:31:48.8853089Z aten_permute_copy_default_159: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_972, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_972 = None 2025-03-21T20:31:48.8854179Z quantized_decomposed_quantize_per_tensor_default_639: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_159, 0.00022086942044552416, 31371, 0, 65535, torch.int32); aten_permute_copy_default_159 = None 2025-03-21T20:31:48.8854299Z 2025-03-21T20:31:48.8854913Z # 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]) 2025-03-21T20:31:48.8856241Z quantized_decomposed_dequantize_per_tensor_default_973: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_639, 0.00022086942044552416, 31371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_639 = None 2025-03-21T20:31:48.8857107Z aten_squeeze_copy_dims_41: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_973, [-1]); quantized_decomposed_dequantize_per_tensor_default_973 = None 2025-03-21T20:31:48.8858140Z quantized_decomposed_quantize_per_tensor_default_640: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_41, 0.00022086942044552416, 31371, 0, 65535, torch.int32); aten_squeeze_copy_dims_41 = None 2025-03-21T20:31:48.8858248Z 2025-03-21T20:31:48.8858830Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.8859894Z quantized_decomposed_dequantize_per_tensor_default_974: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_640, 0.00022086942044552416, 31371, 0, 65535, torch.int32) 2025-03-21T20:31:48.8861222Z quantized_decomposed_dequantize_per_tensor_default_975: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_640, 0.00022086942044552416, 31371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_640 = None 2025-03-21T20:31:48.8862066Z aten_sigmoid_default_3: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_975); quantized_decomposed_dequantize_per_tensor_default_975 = None 2025-03-21T20:31:48.8863037Z quantized_decomposed_quantize_per_tensor_default_641: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_3, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_3 = None 2025-03-21T20:31:48.8864298Z quantized_decomposed_dequantize_per_tensor_default_976: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_641, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_641 = None 2025-03-21T20:31:48.8865578Z aten_mul_tensor_58: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_974, quantized_decomposed_dequantize_per_tensor_default_976); quantized_decomposed_dequantize_per_tensor_default_974 = quantized_decomposed_dequantize_per_tensor_default_976 = None 2025-03-21T20:31:48.8866740Z quantized_decomposed_quantize_per_tensor_default_642: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_58, 0.00011932865891139954, 2334, 0, 65535, torch.int32); aten_mul_tensor_58 = None 2025-03-21T20:31:48.8868044Z quantized_decomposed_dequantize_per_tensor_default_977: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_642, 0.00011932865891139954, 2334, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_642 = None 2025-03-21T20:31:48.8868212Z 2025-03-21T20:31:48.8868796Z # 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) 2025-03-21T20:31:48.8869753Z aten_unsqueeze_copy_default_42: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_968, -1); quantized_decomposed_dequantize_per_tensor_default_968 = None 2025-03-21T20:31:48.8870838Z quantized_decomposed_quantize_per_tensor_default_643: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_42, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_unsqueeze_copy_default_42 = None 2025-03-21T20:31:48.8870951Z 2025-03-21T20:31:48.8871407Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8872733Z quantized_decomposed_dequantize_per_tensor_default_978: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_643, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_643 = None 2025-03-21T20:31:48.8873706Z aten_permute_copy_default_160: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_978, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_978 = None 2025-03-21T20:31:48.8874820Z quantized_decomposed_quantize_per_tensor_default_644: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_160, 0.00031500012846663594, 14572, 0, 65535, torch.int32); aten_permute_copy_default_160 = None 2025-03-21T20:31:48.8874918Z 2025-03-21T20:31:48.8875337Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8876649Z quantized_decomposed_dequantize_per_tensor_default_979: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_644, 0.00031500012846663594, 14572, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_644 = None 2025-03-21T20:31:48.8878118Z aten_convolution_default_26: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_979, quantized_decomposed_dequantize_per_tensor_default_35, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_979 = quantized_decomposed_dequantize_per_tensor_default_35 = None 2025-03-21T20:31:48.8879184Z quantized_decomposed_quantize_per_tensor_default_645: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_26, 0.00024752813624218106, 33708, 0, 65535, torch.int32); aten_convolution_default_26 = None 2025-03-21T20:31:48.8879292Z 2025-03-21T20:31:48.8879764Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8881159Z quantized_decomposed_dequantize_per_tensor_default_980: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_645, 0.00024752813624218106, 33708, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_645 = None 2025-03-21T20:31:48.8882061Z aten_permute_copy_default_161: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_980, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_980 = None 2025-03-21T20:31:48.8883204Z quantized_decomposed_quantize_per_tensor_default_646: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_161, 0.00024752813624218106, 33708, 0, 65535, torch.int32); aten_permute_copy_default_161 = None 2025-03-21T20:31:48.8883304Z 2025-03-21T20:31:48.8883917Z # 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]) 2025-03-21T20:31:48.8885233Z quantized_decomposed_dequantize_per_tensor_default_981: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_646, 0.00024752813624218106, 33708, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_646 = None 2025-03-21T20:31:48.8886099Z aten_squeeze_copy_dims_42: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_981, [-1]); quantized_decomposed_dequantize_per_tensor_default_981 = None 2025-03-21T20:31:48.8887135Z quantized_decomposed_quantize_per_tensor_default_647: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_42, 0.00024752813624218106, 33708, 0, 65535, torch.int32); aten_squeeze_copy_dims_42 = None 2025-03-21T20:31:48.8887244Z 2025-03-21T20:31:48.8887843Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.8889173Z quantized_decomposed_dequantize_per_tensor_default_982: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_647, 0.00024752813624218106, 33708, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_647 = None 2025-03-21T20:31:48.8890449Z aten_mul_tensor_59: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_977, quantized_decomposed_dequantize_per_tensor_default_982); quantized_decomposed_dequantize_per_tensor_default_977 = quantized_decomposed_dequantize_per_tensor_default_982 = None 2025-03-21T20:31:48.8891438Z quantized_decomposed_quantize_per_tensor_default_648: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_59, 0.0006538353045471013, 38748, 0, 65535, torch.int32); aten_mul_tensor_59 = None 2025-03-21T20:31:48.8891533Z 2025-03-21T20:31:48.8892137Z # 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) 2025-03-21T20:31:48.8893440Z quantized_decomposed_dequantize_per_tensor_default_983: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_648, 0.0006538353045471013, 38748, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_648 = None 2025-03-21T20:31:48.8894387Z aten_unsqueeze_copy_default_43: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_983, -1); quantized_decomposed_dequantize_per_tensor_default_983 = None 2025-03-21T20:31:48.8895471Z quantized_decomposed_quantize_per_tensor_default_649: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_43, 0.0006538353045471013, 38748, 0, 65535, torch.int32); aten_unsqueeze_copy_default_43 = None 2025-03-21T20:31:48.8895606Z 2025-03-21T20:31:48.8896055Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8897394Z quantized_decomposed_dequantize_per_tensor_default_984: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_649, 0.0006538353045471013, 38748, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_649 = None 2025-03-21T20:31:48.8898300Z aten_permute_copy_default_162: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_984, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_984 = None 2025-03-21T20:31:48.8899389Z quantized_decomposed_quantize_per_tensor_default_650: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_162, 0.0006538353045471013, 38748, 0, 65535, torch.int32); aten_permute_copy_default_162 = None 2025-03-21T20:31:48.8899486Z 2025-03-21T20:31:48.8899910Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8901207Z quantized_decomposed_dequantize_per_tensor_default_985: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_650, 0.0006538353045471013, 38748, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_650 = None 2025-03-21T20:31:48.8902699Z aten_convolution_default_27: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_985, quantized_decomposed_dequantize_per_tensor_default_36, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_985 = quantized_decomposed_dequantize_per_tensor_default_36 = None 2025-03-21T20:31:48.8903742Z quantized_decomposed_quantize_per_tensor_default_651: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_27, 0.000476505549158901, 4992, 0, 65535, torch.int32); aten_convolution_default_27 = None 2025-03-21T20:31:48.8903852Z 2025-03-21T20:31:48.8904323Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8905626Z quantized_decomposed_dequantize_per_tensor_default_986: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_651, 0.000476505549158901, 4992, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_651 = None 2025-03-21T20:31:48.8906519Z aten_permute_copy_default_163: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_986, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_986 = None 2025-03-21T20:31:48.8907585Z quantized_decomposed_quantize_per_tensor_default_652: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_163, 0.000476505549158901, 4992, 0, 65535, torch.int32); aten_permute_copy_default_163 = None 2025-03-21T20:31:48.8907707Z 2025-03-21T20:31:48.8908318Z # 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]) 2025-03-21T20:31:48.8909600Z quantized_decomposed_dequantize_per_tensor_default_987: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_652, 0.000476505549158901, 4992, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_652 = None 2025-03-21T20:31:48.8910513Z aten_squeeze_copy_dims_43: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_987, [-1]); quantized_decomposed_dequantize_per_tensor_default_987 = None 2025-03-21T20:31:48.8911535Z quantized_decomposed_quantize_per_tensor_default_653: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_43, 0.000476505549158901, 4992, 0, 65535, torch.int32); aten_squeeze_copy_dims_43 = None 2025-03-21T20:31:48.8911644Z 2025-03-21T20:31:48.8912207Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.8913690Z quantized_decomposed_dequantize_per_tensor_default_988: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_653, 0.000476505549158901, 4992, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_653 = None 2025-03-21T20:31:48.8914951Z aten_add_tensor_19: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_966, quantized_decomposed_dequantize_per_tensor_default_988); quantized_decomposed_dequantize_per_tensor_default_966 = quantized_decomposed_dequantize_per_tensor_default_988 = None 2025-03-21T20:31:48.8915946Z quantized_decomposed_quantize_per_tensor_default_654: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_19, 0.002495231805369258, 6285, 0, 65535, torch.int32); aten_add_tensor_19 = None 2025-03-21T20:31:48.8916049Z 2025-03-21T20:31:48.8916474Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.8917514Z quantized_decomposed_dequantize_per_tensor_default_989: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_654, 0.002495231805369258, 6285, 0, 65535, torch.int32) 2025-03-21T20:31:48.8917622Z 2025-03-21T20:31:48.8918263Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:48.8919563Z quantized_decomposed_dequantize_per_tensor_default_990: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_654, 0.002495231805369258, 6285, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_654 = None 2025-03-21T20:31:48.8920139Z aten_pow_tensor_scalar_8: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_990, 2) 2025-03-21T20:31:48.8920656Z 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 2025-03-21T20:31:48.8921173Z 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 2025-03-21T20:31:48.8921646Z 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 2025-03-21T20:31:48.8922610Z aten_mul_tensor_60: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_990, aten_rsqrt_default_8); quantized_decomposed_dequantize_per_tensor_default_990 = aten_rsqrt_default_8 = None 2025-03-21T20:31:48.8923567Z aten_mul_tensor_61: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_60, quantized_decomposed_dequantize_per_tensor_default_37); aten_mul_tensor_60 = quantized_decomposed_dequantize_per_tensor_default_37 = None 2025-03-21T20:31:48.8924538Z quantized_decomposed_quantize_per_tensor_default_655: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_61, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_mul_tensor_61 = None 2025-03-21T20:31:48.8924641Z 2025-03-21T20:31:48.8925222Z # 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) 2025-03-21T20:31:48.8926285Z quantized_decomposed_dequantize_per_tensor_default_991: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_655, 0.00039765422116033733, 28522, 0, 65535, torch.int32) 2025-03-21T20:31:48.8927324Z quantized_decomposed_dequantize_per_tensor_default_992: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_655, 0.00039765422116033733, 28522, 0, 65535, torch.int32) 2025-03-21T20:31:48.8928665Z quantized_decomposed_dequantize_per_tensor_default_993: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_655, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_655 = None 2025-03-21T20:31:48.8929573Z aten_unsqueeze_copy_default_44: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_993, -1); quantized_decomposed_dequantize_per_tensor_default_993 = None 2025-03-21T20:31:48.8930654Z quantized_decomposed_quantize_per_tensor_default_656: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_44, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_unsqueeze_copy_default_44 = None 2025-03-21T20:31:48.8930751Z 2025-03-21T20:31:48.8931216Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8932518Z quantized_decomposed_dequantize_per_tensor_default_994: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_656, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_656 = None 2025-03-21T20:31:48.8933423Z aten_permute_copy_default_164: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_994, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_994 = None 2025-03-21T20:31:48.8934487Z quantized_decomposed_quantize_per_tensor_default_657: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_164, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_permute_copy_default_164 = None 2025-03-21T20:31:48.8934627Z 2025-03-21T20:31:48.8935036Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8936355Z quantized_decomposed_dequantize_per_tensor_default_995: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_657, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_657 = None 2025-03-21T20:31:48.8937845Z aten_convolution_default_28: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_995, quantized_decomposed_dequantize_per_tensor_default_38, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_995 = quantized_decomposed_dequantize_per_tensor_default_38 = None 2025-03-21T20:31:48.8938914Z quantized_decomposed_quantize_per_tensor_default_658: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_28, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_convolution_default_28 = None 2025-03-21T20:31:48.8943852Z 2025-03-21T20:31:48.8944377Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8945716Z quantized_decomposed_dequantize_per_tensor_default_996: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_658, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_658 = None 2025-03-21T20:31:48.8946612Z aten_permute_copy_default_165: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_996, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_996 = None 2025-03-21T20:31:48.8947764Z quantized_decomposed_quantize_per_tensor_default_659: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_165, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_permute_copy_default_165 = None 2025-03-21T20:31:48.8947862Z 2025-03-21T20:31:48.8948478Z # 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]) 2025-03-21T20:31:48.8949774Z quantized_decomposed_dequantize_per_tensor_default_997: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_659, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_659 = None 2025-03-21T20:31:48.8950637Z aten_squeeze_copy_dims_44: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_997, [-1]); quantized_decomposed_dequantize_per_tensor_default_997 = None 2025-03-21T20:31:48.8951661Z quantized_decomposed_quantize_per_tensor_default_660: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_44, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_squeeze_copy_dims_44 = None 2025-03-21T20:31:48.8951769Z 2025-03-21T20:31:48.8952349Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.8953820Z quantized_decomposed_dequantize_per_tensor_default_998: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_660, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_660 = None 2025-03-21T20:31:48.8953915Z 2025-03-21T20:31:48.8954543Z # 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) 2025-03-21T20:31:48.8955479Z aten_unsqueeze_copy_default_45: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_992, -1); quantized_decomposed_dequantize_per_tensor_default_992 = None 2025-03-21T20:31:48.8956566Z quantized_decomposed_quantize_per_tensor_default_661: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_45, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_unsqueeze_copy_default_45 = None 2025-03-21T20:31:48.8956661Z 2025-03-21T20:31:48.8957124Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8958423Z quantized_decomposed_dequantize_per_tensor_default_999: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_661, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_661 = None 2025-03-21T20:31:48.8959333Z aten_permute_copy_default_166: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_999, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_999 = None 2025-03-21T20:31:48.8960418Z quantized_decomposed_quantize_per_tensor_default_662: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_166, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_permute_copy_default_166 = None 2025-03-21T20:31:48.8960524Z 2025-03-21T20:31:48.8960928Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8962223Z quantized_decomposed_dequantize_per_tensor_default_1000: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_662, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_662 = None 2025-03-21T20:31:48.8963680Z aten_convolution_default_29: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1000, quantized_decomposed_dequantize_per_tensor_default_39, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1000 = quantized_decomposed_dequantize_per_tensor_default_39 = None 2025-03-21T20:31:48.8964743Z quantized_decomposed_quantize_per_tensor_default_663: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_29, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_convolution_default_29 = None 2025-03-21T20:31:48.8964839Z 2025-03-21T20:31:48.8965318Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8966849Z quantized_decomposed_dequantize_per_tensor_default_1001: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_663, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_663 = None 2025-03-21T20:31:48.8967836Z aten_permute_copy_default_167: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1001, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1001 = None 2025-03-21T20:31:48.8968938Z quantized_decomposed_quantize_per_tensor_default_664: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_167, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_permute_copy_default_167 = None 2025-03-21T20:31:48.8969050Z 2025-03-21T20:31:48.8969684Z # 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]) 2025-03-21T20:31:48.8971013Z quantized_decomposed_dequantize_per_tensor_default_1002: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_664, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_664 = None 2025-03-21T20:31:48.8971863Z aten_squeeze_copy_dims_45: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1002, [-1]); quantized_decomposed_dequantize_per_tensor_default_1002 = None 2025-03-21T20:31:48.8972898Z quantized_decomposed_quantize_per_tensor_default_665: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_45, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_squeeze_copy_dims_45 = None 2025-03-21T20:31:48.8972999Z 2025-03-21T20:31:48.8973601Z # 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) 2025-03-21T20:31:48.8974937Z quantized_decomposed_dequantize_per_tensor_default_1003: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_665, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_665 = None 2025-03-21T20:31:48.8975049Z 2025-03-21T20:31:48.8975626Z # 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) 2025-03-21T20:31:48.8976541Z aten_unsqueeze_copy_default_46: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_991, -1); quantized_decomposed_dequantize_per_tensor_default_991 = None 2025-03-21T20:31:48.8977618Z quantized_decomposed_quantize_per_tensor_default_666: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_46, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_unsqueeze_copy_default_46 = None 2025-03-21T20:31:48.8977726Z 2025-03-21T20:31:48.8978179Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.8979510Z quantized_decomposed_dequantize_per_tensor_default_1004: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_666, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_666 = None 2025-03-21T20:31:48.8980431Z aten_permute_copy_default_168: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1004, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1004 = None 2025-03-21T20:31:48.8981509Z quantized_decomposed_quantize_per_tensor_default_667: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_168, 0.00039765422116033733, 28522, 0, 65535, torch.int32); aten_permute_copy_default_168 = None 2025-03-21T20:31:48.8981626Z 2025-03-21T20:31:48.8982042Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.8983368Z quantized_decomposed_dequantize_per_tensor_default_1005: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_667, 0.00039765422116033733, 28522, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_667 = None 2025-03-21T20:31:48.8984824Z aten_convolution_default_30: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1005, quantized_decomposed_dequantize_per_tensor_default_40, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1005 = quantized_decomposed_dequantize_per_tensor_default_40 = None 2025-03-21T20:31:48.8985877Z quantized_decomposed_quantize_per_tensor_default_668: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_30, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_convolution_default_30 = None 2025-03-21T20:31:48.8985990Z 2025-03-21T20:31:48.8986457Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.8987810Z quantized_decomposed_dequantize_per_tensor_default_1006: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_668, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_668 = None 2025-03-21T20:31:48.8988717Z aten_permute_copy_default_169: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1006, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1006 = None 2025-03-21T20:31:48.8989802Z quantized_decomposed_quantize_per_tensor_default_669: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_169, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_169 = None 2025-03-21T20:31:48.8989896Z 2025-03-21T20:31:48.8990502Z # 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]) 2025-03-21T20:31:48.8991796Z quantized_decomposed_dequantize_per_tensor_default_1007: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_669, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_669 = None 2025-03-21T20:31:48.8992665Z aten_squeeze_copy_dims_46: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1007, [-1]); quantized_decomposed_dequantize_per_tensor_default_1007 = None 2025-03-21T20:31:48.8993795Z quantized_decomposed_quantize_per_tensor_default_670: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_46, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_squeeze_copy_dims_46 = None 2025-03-21T20:31:48.8993936Z 2025-03-21T20:31:48.8994525Z # 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) 2025-03-21T20:31:48.8995848Z quantized_decomposed_dequantize_per_tensor_default_1008: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_670, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_670 = None 2025-03-21T20:31:48.8995967Z 2025-03-21T20:31:48.8996576Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.8997439Z aten_view_copy_default_72: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_998, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_998 = None 2025-03-21T20:31:48.8998483Z quantized_decomposed_quantize_per_tensor_default_671: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_72, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_view_copy_default_72 = None 2025-03-21T20:31:48.8998578Z 2025-03-21T20:31:48.8999640Z # File: .50:2536 in forward, code: dequantize_per_tensor_default_824 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_824, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantize_per_tensor_default_824 = None 2025-03-21T20:31:48.9000943Z quantized_decomposed_dequantize_per_tensor_default_1009: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_671, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_671 = None 2025-03-21T20:31:48.9001047Z 2025-03-21T20:31:48.9001657Z # 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) 2025-03-21T20:31:48.9002531Z aten_view_copy_default_73: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1003, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1003 = None 2025-03-21T20:31:48.9003542Z quantized_decomposed_quantize_per_tensor_default_672: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_73, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_view_copy_default_73 = None 2025-03-21T20:31:48.9003647Z 2025-03-21T20:31:48.9004688Z # File: .50:2539 in forward, code: dequantize_per_tensor_default_825 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_825, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantize_per_tensor_default_825 = None 2025-03-21T20:31:48.9005998Z quantized_decomposed_dequantize_per_tensor_default_1010: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_672, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_672 = None 2025-03-21T20:31:48.9006091Z 2025-03-21T20:31:48.9006679Z # 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) 2025-03-21T20:31:48.9007575Z aten_view_copy_default_74: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1008, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1008 = None 2025-03-21T20:31:48.9008597Z quantized_decomposed_quantize_per_tensor_default_673: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_74, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_view_copy_default_74 = None 2025-03-21T20:31:48.9008724Z 2025-03-21T20:31:48.9009502Z # 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) 2025-03-21T20:31:48.9010826Z quantized_decomposed_dequantize_per_tensor_default_1011: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_673, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_673 = None 2025-03-21T20:31:48.9010923Z 2025-03-21T20:31:48.9011779Z # File: .50:2544 in forward, code: quantize_per_tensor_default_827 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_8, 0.00031367456540465355, 28419, 0, 65535, torch.int32); _to_copy_8 = None 2025-03-21T20:31:48.9013090Z quantized_decomposed_quantize_per_tensor_default_674: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1009, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1009 = None 2025-03-21T20:31:48.9013194Z 2025-03-21T20:31:48.9013782Z # 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) 2025-03-21T20:31:48.9015115Z quantized_decomposed_dequantize_per_tensor_default_1012: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_674, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_674 = None 2025-03-21T20:31:48.9015993Z aten_view_copy_default_75: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1012, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1012 = None 2025-03-21T20:31:48.9017031Z quantized_decomposed_quantize_per_tensor_default_675: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_75, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_view_copy_default_75 = None 2025-03-21T20:31:48.9018341Z quantized_decomposed_dequantize_per_tensor_default_1013: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_675, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_675 = None 2025-03-21T20:31:48.9018957Z aten_slice_copy_tensor_16: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1013, 4, 0, 1) 2025-03-21T20:31:48.9019825Z aten_slice_copy_tensor_17: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1013, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1013 = None 2025-03-21T20:31:48.9020434Z 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 2025-03-21T20:31:48.9021024Z 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 2025-03-21T20:31:48.9022045Z quantized_decomposed_quantize_per_tensor_default_676: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_47, 0.00031367456540465355, 28419, 0, 65535, torch.int32); aten_squeeze_copy_dims_47 = None 2025-03-21T20:31:48.9022166Z 2025-03-21T20:31:48.9022732Z # 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 2025-03-21T20:31:48.9023779Z quantized_decomposed_dequantize_per_tensor_default_1014: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_676, 0.00031367456540465355, 28419, 0, 65535, torch.int32) 2025-03-21T20:31:48.9023882Z 2025-03-21T20:31:48.9024412Z # 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 2025-03-21T20:31:48.9025714Z quantized_decomposed_dequantize_per_tensor_default_1015: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_676, 0.00031367456540465355, 28419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_676 = None 2025-03-21T20:31:48.9025809Z 2025-03-21T20:31:48.9026400Z # 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) 2025-03-21T20:31:48.9027460Z quantized_decomposed_quantize_per_tensor_default_677: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_48, 0.00029694687691517174, 29660, 0, 65535, torch.int32); aten_squeeze_copy_dims_48 = None 2025-03-21T20:31:48.9027564Z 2025-03-21T20:31:48.9028097Z # 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 2025-03-21T20:31:48.9029151Z quantized_decomposed_dequantize_per_tensor_default_1016: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_677, 0.00029694687691517174, 29660, 0, 65535, torch.int32) 2025-03-21T20:31:48.9029248Z 2025-03-21T20:31:48.9029782Z # 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 2025-03-21T20:31:48.9031088Z quantized_decomposed_dequantize_per_tensor_default_1017: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_677, 0.00029694687691517174, 29660, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_677 = None 2025-03-21T20:31:48.9031192Z 2025-03-21T20:31:48.9032036Z # File: .50:2559 in forward, code: quantize_per_tensor_default_831 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_9, 0.0004061445069964975, 31842, 0, 65535, torch.int32); _to_copy_9 = None 2025-03-21T20:31:48.9033414Z quantized_decomposed_quantize_per_tensor_default_678: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1010, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1010 = None 2025-03-21T20:31:48.9033543Z 2025-03-21T20:31:48.9034132Z # 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) 2025-03-21T20:31:48.9035431Z quantized_decomposed_dequantize_per_tensor_default_1018: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_678, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_678 = None 2025-03-21T20:31:48.9036387Z aten_view_copy_default_76: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1018, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1018 = None 2025-03-21T20:31:48.9037408Z quantized_decomposed_quantize_per_tensor_default_679: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_76, 0.0004061445069964975, 31842, 0, 65535, torch.int32); aten_view_copy_default_76 = None 2025-03-21T20:31:48.9038709Z quantized_decomposed_dequantize_per_tensor_default_1019: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_679, 0.0004061445069964975, 31842, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_679 = None 2025-03-21T20:31:48.9039314Z aten_slice_copy_tensor_18: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1019, 4, 0, 1) 2025-03-21T20:31:48.9040181Z aten_slice_copy_tensor_19: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1019, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1019 = None 2025-03-21T20:31:48.9040786Z 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 2025-03-21T20:31:48.9041375Z 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 2025-03-21T20:31:48.9042397Z quantized_decomposed_quantize_per_tensor_default_680: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_49, 0.00040076454752124846, 31390, 0, 65535, torch.int32); aten_squeeze_copy_dims_49 = None 2025-03-21T20:31:48.9042501Z 2025-03-21T20:31:48.9043031Z # 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 2025-03-21T20:31:48.9044085Z quantized_decomposed_dequantize_per_tensor_default_1020: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_680, 0.00040076454752124846, 31390, 0, 65535, torch.int32) 2025-03-21T20:31:48.9044183Z 2025-03-21T20:31:48.9044718Z # 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 2025-03-21T20:31:48.9046024Z quantized_decomposed_dequantize_per_tensor_default_1021: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_680, 0.00040076454752124846, 31390, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_680 = None 2025-03-21T20:31:48.9046154Z 2025-03-21T20:31:48.9046733Z # 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) 2025-03-21T20:31:48.9047750Z quantized_decomposed_quantize_per_tensor_default_681: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_50, 0.0003823413862846792, 33824, 0, 65535, torch.int32); aten_squeeze_copy_dims_50 = None 2025-03-21T20:31:48.9047879Z 2025-03-21T20:31:48.9048403Z # 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 2025-03-21T20:31:48.9049480Z quantized_decomposed_dequantize_per_tensor_default_1022: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_681, 0.0003823413862846792, 33824, 0, 65535, torch.int32) 2025-03-21T20:31:48.9049574Z 2025-03-21T20:31:48.9050106Z # 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 2025-03-21T20:31:48.9051403Z quantized_decomposed_dequantize_per_tensor_default_1023: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_681, 0.0003823413862846792, 33824, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_681 = None 2025-03-21T20:31:48.9051511Z 2025-03-21T20:31:48.9051999Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.9052864Z aten_view_copy_default_77: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_158, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_158 = None 2025-03-21T20:31:48.9053906Z quantized_decomposed_quantize_per_tensor_default_682: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_77, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_77 = None 2025-03-21T20:31:48.9054020Z 2025-03-21T20:31:48.9054541Z # 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 2025-03-21T20:31:48.9055603Z quantized_decomposed_dequantize_per_tensor_default_1024: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_682, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.9055700Z 2025-03-21T20:31:48.9056236Z # 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 2025-03-21T20:31:48.9057275Z quantized_decomposed_dequantize_per_tensor_default_1025: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_682, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.9057373Z 2025-03-21T20:31:48.9057909Z # 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 2025-03-21T20:31:48.9058942Z quantized_decomposed_dequantize_per_tensor_default_1026: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_682, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.9059079Z 2025-03-21T20:31:48.9059604Z # 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 2025-03-21T20:31:48.9060918Z quantized_decomposed_dequantize_per_tensor_default_1027: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_682, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_682 = None 2025-03-21T20:31:48.9061041Z 2025-03-21T20:31:48.9061542Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.9062422Z aten_view_copy_default_78: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_170, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_170 = None 2025-03-21T20:31:48.9063452Z quantized_decomposed_quantize_per_tensor_default_683: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_78, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_78 = None 2025-03-21T20:31:48.9063547Z 2025-03-21T20:31:48.9064089Z # 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 2025-03-21T20:31:48.9065130Z quantized_decomposed_dequantize_per_tensor_default_1028: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_683, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.9065236Z 2025-03-21T20:31:48.9065761Z # 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 2025-03-21T20:31:48.9067046Z quantized_decomposed_dequantize_per_tensor_default_1029: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_683, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.9067146Z 2025-03-21T20:31:48.9067677Z # 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 2025-03-21T20:31:48.9068725Z quantized_decomposed_dequantize_per_tensor_default_1030: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_683, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.9068822Z 2025-03-21T20:31:48.9069361Z # 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 2025-03-21T20:31:48.9070648Z quantized_decomposed_dequantize_per_tensor_default_1031: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_683, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_683 = None 2025-03-21T20:31:48.9070758Z 2025-03-21T20:31:48.9071283Z # 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 2025-03-21T20:31:48.9072583Z aten_mul_tensor_62: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1015, quantized_decomposed_dequantize_per_tensor_default_1027); quantized_decomposed_dequantize_per_tensor_default_1015 = quantized_decomposed_dequantize_per_tensor_default_1027 = None 2025-03-21T20:31:48.9073680Z quantized_decomposed_quantize_per_tensor_default_684: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_62, 0.0003092595434281975, 28515, 0, 65535, torch.int32); aten_mul_tensor_62 = None 2025-03-21T20:31:48.9074989Z quantized_decomposed_dequantize_per_tensor_default_1032: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_684, 0.0003092595434281975, 28515, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_684 = None 2025-03-21T20:31:48.9076350Z aten_mul_tensor_63: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1016, quantized_decomposed_dequantize_per_tensor_default_1030); quantized_decomposed_dequantize_per_tensor_default_1016 = quantized_decomposed_dequantize_per_tensor_default_1030 = None 2025-03-21T20:31:48.9077322Z quantized_decomposed_quantize_per_tensor_default_685: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_63, 0.00020828904234804213, 31612, 0, 65535, torch.int32); aten_mul_tensor_63 = None 2025-03-21T20:31:48.9078638Z quantized_decomposed_dequantize_per_tensor_default_1033: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_685, 0.00020828904234804213, 31612, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_685 = None 2025-03-21T20:31:48.9079912Z aten_sub_tensor_8: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1032, quantized_decomposed_dequantize_per_tensor_default_1033); quantized_decomposed_dequantize_per_tensor_default_1032 = quantized_decomposed_dequantize_per_tensor_default_1033 = None 2025-03-21T20:31:48.9080915Z quantized_decomposed_quantize_per_tensor_default_686: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_8, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_sub_tensor_8 = None 2025-03-21T20:31:48.9081015Z 2025-03-21T20:31:48.9082085Z # File: .50:2593 in forward, code: dequantize_per_tensor_default_839 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_839, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantize_per_tensor_default_839 = None 2025-03-21T20:31:48.9083390Z quantized_decomposed_dequantize_per_tensor_default_1034: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_686, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_686 = None 2025-03-21T20:31:48.9083499Z 2025-03-21T20:31:48.9084024Z # 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 2025-03-21T20:31:48.9085310Z aten_mul_tensor_64: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1014, quantized_decomposed_dequantize_per_tensor_default_1031); quantized_decomposed_dequantize_per_tensor_default_1014 = quantized_decomposed_dequantize_per_tensor_default_1031 = None 2025-03-21T20:31:48.9086286Z quantized_decomposed_quantize_per_tensor_default_687: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_64, 0.00016941409558057785, 33259, 0, 65535, torch.int32); aten_mul_tensor_64 = None 2025-03-21T20:31:48.9087632Z quantized_decomposed_dequantize_per_tensor_default_1035: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_687, 0.00016941409558057785, 33259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_687 = None 2025-03-21T20:31:48.9088919Z aten_mul_tensor_65: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1017, quantized_decomposed_dequantize_per_tensor_default_1026); quantized_decomposed_dequantize_per_tensor_default_1017 = quantized_decomposed_dequantize_per_tensor_default_1026 = None 2025-03-21T20:31:48.9089954Z quantized_decomposed_quantize_per_tensor_default_688: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_65, 0.00029095596983097494, 29320, 0, 65535, torch.int32); aten_mul_tensor_65 = None 2025-03-21T20:31:48.9091266Z quantized_decomposed_dequantize_per_tensor_default_1036: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_688, 0.00029095596983097494, 29320, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_688 = None 2025-03-21T20:31:48.9092561Z aten_add_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1035, quantized_decomposed_dequantize_per_tensor_default_1036); quantized_decomposed_dequantize_per_tensor_default_1035 = quantized_decomposed_dequantize_per_tensor_default_1036 = None 2025-03-21T20:31:48.9093533Z quantized_decomposed_quantize_per_tensor_default_689: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_20, 0.00028711769846268, 29314, 0, 65535, torch.int32); aten_add_tensor_20 = None 2025-03-21T20:31:48.9093631Z 2025-03-21T20:31:48.9094709Z # File: .50:2602 in forward, code: dequantize_per_tensor_default_842 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_842, 0.00028711769846268, 29314, 0, 65535, torch.int32); quantize_per_tensor_default_842 = None 2025-03-21T20:31:48.9096014Z quantized_decomposed_dequantize_per_tensor_default_1037: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_689, 0.00028711769846268, 29314, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_689 = None 2025-03-21T20:31:48.9096113Z 2025-03-21T20:31:48.9096665Z # 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 2025-03-21T20:31:48.9097957Z aten_mul_tensor_66: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1021, quantized_decomposed_dequantize_per_tensor_default_1025); quantized_decomposed_dequantize_per_tensor_default_1021 = quantized_decomposed_dequantize_per_tensor_default_1025 = None 2025-03-21T20:31:48.9098933Z quantized_decomposed_quantize_per_tensor_default_690: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_66, 0.0003889426589012146, 30723, 0, 65535, torch.int32); aten_mul_tensor_66 = None 2025-03-21T20:31:48.9100248Z quantized_decomposed_dequantize_per_tensor_default_1038: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_690, 0.0003889426589012146, 30723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_690 = None 2025-03-21T20:31:48.9101573Z aten_mul_tensor_67: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1022, quantized_decomposed_dequantize_per_tensor_default_1028); quantized_decomposed_dequantize_per_tensor_default_1022 = quantized_decomposed_dequantize_per_tensor_default_1028 = None 2025-03-21T20:31:48.9102548Z quantized_decomposed_quantize_per_tensor_default_691: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_67, 0.00020149449119344354, 31475, 0, 65535, torch.int32); aten_mul_tensor_67 = None 2025-03-21T20:31:48.9103900Z quantized_decomposed_dequantize_per_tensor_default_1039: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_691, 0.00020149449119344354, 31475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_691 = None 2025-03-21T20:31:48.9105190Z aten_sub_tensor_9: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1038, quantized_decomposed_dequantize_per_tensor_default_1039); quantized_decomposed_dequantize_per_tensor_default_1038 = quantized_decomposed_dequantize_per_tensor_default_1039 = None 2025-03-21T20:31:48.9106147Z quantized_decomposed_quantize_per_tensor_default_692: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_9, 0.0003881677403114736, 30645, 0, 65535, torch.int32); aten_sub_tensor_9 = None 2025-03-21T20:31:48.9106256Z 2025-03-21T20:31:48.9107306Z # File: .50:2611 in forward, code: dequantize_per_tensor_default_845 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_845, 0.0003881677403114736, 30645, 0, 65535, torch.int32); quantize_per_tensor_default_845 = None 2025-03-21T20:31:48.9108638Z quantized_decomposed_dequantize_per_tensor_default_1040: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_692, 0.0003881677403114736, 30645, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_692 = None 2025-03-21T20:31:48.9108734Z 2025-03-21T20:31:48.9109277Z # 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 2025-03-21T20:31:48.9110557Z aten_mul_tensor_68: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1020, quantized_decomposed_dequantize_per_tensor_default_1029); quantized_decomposed_dequantize_per_tensor_default_1020 = quantized_decomposed_dequantize_per_tensor_default_1029 = None 2025-03-21T20:31:48.9111536Z quantized_decomposed_quantize_per_tensor_default_693: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_68, 0.00017219017900060862, 30798, 0, 65535, torch.int32); aten_mul_tensor_68 = None 2025-03-21T20:31:48.9112923Z quantized_decomposed_dequantize_per_tensor_default_1041: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_693, 0.00017219017900060862, 30798, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_693 = None 2025-03-21T20:31:48.9114230Z aten_mul_tensor_69: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1023, quantized_decomposed_dequantize_per_tensor_default_1024); quantized_decomposed_dequantize_per_tensor_default_1023 = quantized_decomposed_dequantize_per_tensor_default_1024 = None 2025-03-21T20:31:48.9115212Z quantized_decomposed_quantize_per_tensor_default_694: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_69, 0.0003756027726922184, 33266, 0, 65535, torch.int32); aten_mul_tensor_69 = None 2025-03-21T20:31:48.9116518Z quantized_decomposed_dequantize_per_tensor_default_1042: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_694, 0.0003756027726922184, 33266, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_694 = None 2025-03-21T20:31:48.9117864Z aten_add_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1041, quantized_decomposed_dequantize_per_tensor_default_1042); quantized_decomposed_dequantize_per_tensor_default_1041 = quantized_decomposed_dequantize_per_tensor_default_1042 = None 2025-03-21T20:31:48.9118832Z quantized_decomposed_quantize_per_tensor_default_695: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_21, 0.00038093022885732353, 33710, 0, 65535, torch.int32); aten_add_tensor_21 = None 2025-03-21T20:31:48.9118939Z 2025-03-21T20:31:48.9119989Z # File: .50:2620 in forward, code: dequantize_per_tensor_default_848 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_848, 0.00038093022885732353, 33710, 0, 65535, torch.int32); quantize_per_tensor_default_848 = None 2025-03-21T20:31:48.9121313Z quantized_decomposed_dequantize_per_tensor_default_1043: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_695, 0.00038093022885732353, 33710, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_695 = None 2025-03-21T20:31:48.9121408Z 2025-03-21T20:31:48.9121993Z # 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) 2025-03-21T20:31:48.9122937Z aten_unsqueeze_copy_default_47: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1034, 4); quantized_decomposed_dequantize_per_tensor_default_1034 = None 2025-03-21T20:31:48.9123840Z aten_unsqueeze_copy_default_48: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1037, 4); quantized_decomposed_dequantize_per_tensor_default_1037 = None 2025-03-21T20:31:48.9124689Z 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 2025-03-21T20:31:48.9125685Z quantized_decomposed_quantize_per_tensor_default_696: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_16, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_cat_default_16 = None 2025-03-21T20:31:48.9127000Z quantized_decomposed_dequantize_per_tensor_default_1044: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_696, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_696 = None 2025-03-21T20:31:48.9127883Z aten_view_copy_default_79: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1044, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1044 = None 2025-03-21T20:31:48.9128930Z quantized_decomposed_quantize_per_tensor_default_697: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_79, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_view_copy_default_79 = None 2025-03-21T20:31:48.9129035Z 2025-03-21T20:31:48.9130091Z # File: .50:2626 in forward, code: dequantize_per_tensor_default_850 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_850, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantize_per_tensor_default_850 = None 2025-03-21T20:31:48.9131462Z quantized_decomposed_dequantize_per_tensor_default_1045: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_697, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_697 = None 2025-03-21T20:31:48.9131560Z 2025-03-21T20:31:48.9132149Z # 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) 2025-03-21T20:31:48.9133055Z aten_unsqueeze_copy_default_49: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1040, 4); quantized_decomposed_dequantize_per_tensor_default_1040 = None 2025-03-21T20:31:48.9133967Z aten_unsqueeze_copy_default_50: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1043, 4); quantized_decomposed_dequantize_per_tensor_default_1043 = None 2025-03-21T20:31:48.9134799Z 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 2025-03-21T20:31:48.9135815Z quantized_decomposed_quantize_per_tensor_default_698: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_17, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_cat_default_17 = None 2025-03-21T20:31:48.9137115Z quantized_decomposed_dequantize_per_tensor_default_1046: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_698, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_698 = None 2025-03-21T20:31:48.9137986Z aten_view_copy_default_80: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1046, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1046 = None 2025-03-21T20:31:48.9139003Z quantized_decomposed_quantize_per_tensor_default_699: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_80, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_view_copy_default_80 = None 2025-03-21T20:31:48.9139112Z 2025-03-21T20:31:48.9140162Z # File: .50:2632 in forward, code: dequantize_per_tensor_default_852 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_852, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_852 = None 2025-03-21T20:31:48.9141483Z quantized_decomposed_dequantize_per_tensor_default_1047: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_699, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_699 = None 2025-03-21T20:31:48.9141611Z 2025-03-21T20:31:48.9142460Z # File: .50:2634 in forward, code: quantize_per_tensor_default_853 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_8, 0.00030704005621373653, 28921, 0, 65535, torch.int32); type_as_8 = None 2025-03-21T20:31:48.9143801Z quantized_decomposed_quantize_per_tensor_default_700: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1045, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1045 = None 2025-03-21T20:31:48.9143909Z 2025-03-21T20:31:48.9144519Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.9145840Z quantized_decomposed_dequantize_per_tensor_default_1048: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_700, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_700 = None 2025-03-21T20:31:48.9145935Z 2025-03-21T20:31:48.9146789Z # File: .50:2637 in forward, code: quantize_per_tensor_default_854 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_9, 0.00040260335663333535, 31896, 0, 65535, torch.int32); type_as_9 = None 2025-03-21T20:31:48.9148094Z quantized_decomposed_quantize_per_tensor_default_701: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1047, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1047 = None 2025-03-21T20:31:48.9148205Z 2025-03-21T20:31:48.9148958Z # 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) 2025-03-21T20:31:48.9150307Z quantized_decomposed_dequantize_per_tensor_default_1049: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_701, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_701 = None 2025-03-21T20:31:48.9150406Z 2025-03-21T20:31:48.9151008Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.9151910Z aten_permute_copy_default_170: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1048, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1048 = None 2025-03-21T20:31:48.9153101Z quantized_decomposed_quantize_per_tensor_default_702: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_170, 0.00030704005621373653, 28921, 0, 65535, torch.int32); aten_permute_copy_default_170 = None 2025-03-21T20:31:48.9153199Z 2025-03-21T20:31:48.9153847Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.9155163Z quantized_decomposed_dequantize_per_tensor_default_1050: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_702, 0.00030704005621373653, 28921, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_702 = None 2025-03-21T20:31:48.9155301Z 2025-03-21T20:31:48.9156064Z # 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) 2025-03-21T20:31:48.9157540Z aten_index_put_default_8: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_125, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1049); quantized_decomposed_dequantize_per_tensor_default_125 = quantized_decomposed_dequantize_per_tensor_default_1049 = None 2025-03-21T20:31:48.9158649Z quantized_decomposed_quantize_per_tensor_default_703: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_8, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_index_put_default_8 = None 2025-03-21T20:31:48.9158759Z 2025-03-21T20:31:48.9159643Z # File: .50:2644 in forward, code: dequantize_per_tensor_default_856 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_856, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9160707Z quantized_decomposed_dequantize_per_tensor_default_1051: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9160820Z 2025-03-21T20:31:48.9161542Z # 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) 2025-03-21T20:31:48.9162613Z quantized_decomposed_dequantize_per_tensor_default_1052: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9163699Z quantized_decomposed_dequantize_per_tensor_default_1053: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9164757Z quantized_decomposed_dequantize_per_tensor_default_1054: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9165814Z quantized_decomposed_dequantize_per_tensor_default_1055: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9167056Z quantized_decomposed_dequantize_per_tensor_default_1056: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9168122Z quantized_decomposed_dequantize_per_tensor_default_1057: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9169172Z quantized_decomposed_dequantize_per_tensor_default_1058: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9170305Z quantized_decomposed_dequantize_per_tensor_default_1059: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9171389Z quantized_decomposed_dequantize_per_tensor_default_1060: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9172503Z quantized_decomposed_dequantize_per_tensor_default_1061: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9173553Z quantized_decomposed_dequantize_per_tensor_default_1062: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32) 2025-03-21T20:31:48.9174887Z quantized_decomposed_dequantize_per_tensor_default_1063: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_703, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_703 = None 2025-03-21T20:31:48.9174989Z 2025-03-21T20:31:48.9175754Z # 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) 2025-03-21T20:31:48.9177263Z aten_index_put_default_9: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_126, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1011); quantized_decomposed_dequantize_per_tensor_default_126 = quantized_decomposed_dequantize_per_tensor_default_1011 = None 2025-03-21T20:31:48.9178318Z quantized_decomposed_quantize_per_tensor_default_704: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_9, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_index_put_default_9 = None 2025-03-21T20:31:48.9178419Z 2025-03-21T20:31:48.9179327Z # File: .50:2659 in forward, code: dequantize_per_tensor_default_857 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_857, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9180378Z quantized_decomposed_dequantize_per_tensor_default_1064: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9180488Z 2025-03-21T20:31:48.9181211Z # 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) 2025-03-21T20:31:48.9182276Z quantized_decomposed_dequantize_per_tensor_default_1065: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9183329Z quantized_decomposed_dequantize_per_tensor_default_1066: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9184429Z quantized_decomposed_dequantize_per_tensor_default_1067: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9185502Z quantized_decomposed_dequantize_per_tensor_default_1068: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9186592Z quantized_decomposed_dequantize_per_tensor_default_1069: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9187637Z quantized_decomposed_dequantize_per_tensor_default_1070: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9188696Z quantized_decomposed_dequantize_per_tensor_default_1071: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9189757Z quantized_decomposed_dequantize_per_tensor_default_1072: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9190800Z quantized_decomposed_dequantize_per_tensor_default_1073: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9191890Z quantized_decomposed_dequantize_per_tensor_default_1074: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9193015Z quantized_decomposed_dequantize_per_tensor_default_1075: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32) 2025-03-21T20:31:48.9194354Z quantized_decomposed_dequantize_per_tensor_default_1076: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_704, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_704 = None 2025-03-21T20:31:48.9194451Z 2025-03-21T20:31:48.9195174Z # 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) 2025-03-21T20:31:48.9196096Z aten_permute_copy_default_171: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1063, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1063 = None 2025-03-21T20:31:48.9197183Z quantized_decomposed_quantize_per_tensor_default_705: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_171, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_171 = None 2025-03-21T20:31:48.9198533Z quantized_decomposed_dequantize_per_tensor_default_1077: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_705, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_705 = None 2025-03-21T20:31:48.9199416Z aten_select_copy_int_192: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1077, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1077 = None 2025-03-21T20:31:48.9200465Z quantized_decomposed_quantize_per_tensor_default_706: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_192, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_192 = None 2025-03-21T20:31:48.9201794Z quantized_decomposed_dequantize_per_tensor_default_1078: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_706, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_706 = None 2025-03-21T20:31:48.9202628Z aten_select_copy_int_193: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1078, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1078 = None 2025-03-21T20:31:48.9203656Z quantized_decomposed_quantize_per_tensor_default_707: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_193, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_193 = None 2025-03-21T20:31:48.9203754Z 2025-03-21T20:31:48.9204835Z # File: .50:2680 in forward, code: dequantize_per_tensor_default_860 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_860, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_860 = None 2025-03-21T20:31:48.9206139Z quantized_decomposed_dequantize_per_tensor_default_1079: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_707, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_707 = None 2025-03-21T20:31:48.9206249Z 2025-03-21T20:31:48.9206967Z # 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) 2025-03-21T20:31:48.9207898Z aten_permute_copy_default_172: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1062, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1062 = None 2025-03-21T20:31:48.9208971Z quantized_decomposed_quantize_per_tensor_default_708: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_172, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_172 = None 2025-03-21T20:31:48.9210298Z quantized_decomposed_dequantize_per_tensor_default_1080: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_708, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_708 = None 2025-03-21T20:31:48.9211160Z aten_select_copy_int_194: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1080, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1080 = None 2025-03-21T20:31:48.9212182Z quantized_decomposed_quantize_per_tensor_default_709: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_194, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_194 = None 2025-03-21T20:31:48.9213540Z quantized_decomposed_dequantize_per_tensor_default_1081: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_709, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_709 = None 2025-03-21T20:31:48.9214391Z aten_select_copy_int_195: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1081, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1081 = None 2025-03-21T20:31:48.9215408Z quantized_decomposed_quantize_per_tensor_default_710: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_195, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_195 = None 2025-03-21T20:31:48.9215527Z 2025-03-21T20:31:48.9216570Z # File: .50:2689 in forward, code: dequantize_per_tensor_default_863 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_863, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_863 = None 2025-03-21T20:31:48.9217886Z quantized_decomposed_dequantize_per_tensor_default_1082: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_710, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_710 = None 2025-03-21T20:31:48.9217984Z 2025-03-21T20:31:48.9218741Z # 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) 2025-03-21T20:31:48.9219659Z aten_permute_copy_default_173: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1061, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1061 = None 2025-03-21T20:31:48.9220741Z quantized_decomposed_quantize_per_tensor_default_711: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_173, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_173 = None 2025-03-21T20:31:48.9222063Z quantized_decomposed_dequantize_per_tensor_default_1083: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_711, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_711 = None 2025-03-21T20:31:48.9222916Z aten_select_copy_int_196: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1083, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1083 = None 2025-03-21T20:31:48.9223941Z quantized_decomposed_quantize_per_tensor_default_712: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_196, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_196 = None 2025-03-21T20:31:48.9225289Z quantized_decomposed_dequantize_per_tensor_default_1084: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_712, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_712 = None 2025-03-21T20:31:48.9226140Z aten_select_copy_int_197: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1084, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1084 = None 2025-03-21T20:31:48.9227209Z quantized_decomposed_quantize_per_tensor_default_713: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_197, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_197 = None 2025-03-21T20:31:48.9227319Z 2025-03-21T20:31:48.9228373Z # File: .50:2698 in forward, code: dequantize_per_tensor_default_866 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_866, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_866 = None 2025-03-21T20:31:48.9229681Z quantized_decomposed_dequantize_per_tensor_default_1085: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_713, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_713 = None 2025-03-21T20:31:48.9229783Z 2025-03-21T20:31:48.9230504Z # 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) 2025-03-21T20:31:48.9231434Z aten_permute_copy_default_174: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1060, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1060 = None 2025-03-21T20:31:48.9232767Z quantized_decomposed_quantize_per_tensor_default_714: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_174, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_174 = None 2025-03-21T20:31:48.9234191Z quantized_decomposed_dequantize_per_tensor_default_1086: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_714, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_714 = None 2025-03-21T20:31:48.9235040Z aten_select_copy_int_198: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1086, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1086 = None 2025-03-21T20:31:48.9236059Z quantized_decomposed_quantize_per_tensor_default_715: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_198, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_198 = None 2025-03-21T20:31:48.9237389Z quantized_decomposed_dequantize_per_tensor_default_1087: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_715, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_715 = None 2025-03-21T20:31:48.9238230Z aten_select_copy_int_199: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1087, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1087 = None 2025-03-21T20:31:48.9239291Z quantized_decomposed_quantize_per_tensor_default_716: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_199, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_199 = None 2025-03-21T20:31:48.9239389Z 2025-03-21T20:31:48.9240486Z # File: .50:2707 in forward, code: dequantize_per_tensor_default_869 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_869, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_869 = None 2025-03-21T20:31:48.9241831Z quantized_decomposed_dequantize_per_tensor_default_1088: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_716, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_716 = None 2025-03-21T20:31:48.9241944Z 2025-03-21T20:31:48.9242660Z # 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) 2025-03-21T20:31:48.9243582Z aten_permute_copy_default_175: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1059, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1059 = None 2025-03-21T20:31:48.9244658Z quantized_decomposed_quantize_per_tensor_default_717: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_175, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_175 = None 2025-03-21T20:31:48.9245978Z quantized_decomposed_dequantize_per_tensor_default_1089: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_717, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_717 = None 2025-03-21T20:31:48.9246839Z aten_select_copy_int_200: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1089, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1089 = None 2025-03-21T20:31:48.9247875Z quantized_decomposed_quantize_per_tensor_default_718: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_200, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_200 = None 2025-03-21T20:31:48.9249190Z quantized_decomposed_dequantize_per_tensor_default_1090: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_718, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_718 = None 2025-03-21T20:31:48.9250042Z aten_select_copy_int_201: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1090, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1090 = None 2025-03-21T20:31:48.9251058Z quantized_decomposed_quantize_per_tensor_default_719: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_201, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_201 = None 2025-03-21T20:31:48.9251167Z 2025-03-21T20:31:48.9252201Z # File: .50:2716 in forward, code: dequantize_per_tensor_default_872 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_872, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_872 = None 2025-03-21T20:31:48.9253541Z quantized_decomposed_dequantize_per_tensor_default_1091: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_719, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_719 = None 2025-03-21T20:31:48.9253661Z 2025-03-21T20:31:48.9254390Z # 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) 2025-03-21T20:31:48.9255325Z aten_permute_copy_default_176: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1058, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1058 = None 2025-03-21T20:31:48.9256416Z quantized_decomposed_quantize_per_tensor_default_720: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_176, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_176 = None 2025-03-21T20:31:48.9257728Z quantized_decomposed_dequantize_per_tensor_default_1092: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_720, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_720 = None 2025-03-21T20:31:48.9258584Z aten_select_copy_int_202: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1092, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1092 = None 2025-03-21T20:31:48.9259604Z quantized_decomposed_quantize_per_tensor_default_721: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_202, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_202 = None 2025-03-21T20:31:48.9260938Z quantized_decomposed_dequantize_per_tensor_default_1093: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_721, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_721 = None 2025-03-21T20:31:48.9261788Z aten_select_copy_int_203: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1093, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1093 = None 2025-03-21T20:31:48.9262805Z quantized_decomposed_quantize_per_tensor_default_722: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_203, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_203 = None 2025-03-21T20:31:48.9262909Z 2025-03-21T20:31:48.9263966Z # File: .50:2725 in forward, code: dequantize_per_tensor_default_875 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_875, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_875 = None 2025-03-21T20:31:48.9265287Z quantized_decomposed_dequantize_per_tensor_default_1094: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_722, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_722 = None 2025-03-21T20:31:48.9265407Z 2025-03-21T20:31:48.9266135Z # 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) 2025-03-21T20:31:48.9267211Z aten_permute_copy_default_177: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1057, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1057 = None 2025-03-21T20:31:48.9268344Z quantized_decomposed_quantize_per_tensor_default_723: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_177, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_177 = None 2025-03-21T20:31:48.9269687Z quantized_decomposed_dequantize_per_tensor_default_1095: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_723, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_723 = None 2025-03-21T20:31:48.9270537Z aten_select_copy_int_204: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1095, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1095 = None 2025-03-21T20:31:48.9271556Z quantized_decomposed_quantize_per_tensor_default_724: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_204, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_204 = None 2025-03-21T20:31:48.9272960Z quantized_decomposed_dequantize_per_tensor_default_1096: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_724, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_724 = None 2025-03-21T20:31:48.9273843Z aten_select_copy_int_205: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1096, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1096 = None 2025-03-21T20:31:48.9274863Z quantized_decomposed_quantize_per_tensor_default_725: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_205, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_205 = None 2025-03-21T20:31:48.9274965Z 2025-03-21T20:31:48.9276026Z # File: .50:2734 in forward, code: dequantize_per_tensor_default_878 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_878, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_878 = None 2025-03-21T20:31:48.9277331Z quantized_decomposed_dequantize_per_tensor_default_1097: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_725, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_725 = None 2025-03-21T20:31:48.9277441Z 2025-03-21T20:31:48.9278155Z # 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) 2025-03-21T20:31:48.9279083Z aten_permute_copy_default_178: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1056, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1056 = None 2025-03-21T20:31:48.9280187Z quantized_decomposed_quantize_per_tensor_default_726: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_178, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_178 = None 2025-03-21T20:31:48.9281511Z quantized_decomposed_dequantize_per_tensor_default_1098: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_726, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_726 = None 2025-03-21T20:31:48.9282402Z aten_select_copy_int_206: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1098, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1098 = None 2025-03-21T20:31:48.9283425Z quantized_decomposed_quantize_per_tensor_default_727: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_206, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_206 = None 2025-03-21T20:31:48.9284742Z quantized_decomposed_dequantize_per_tensor_default_1099: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_727, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_727 = None 2025-03-21T20:31:48.9285589Z aten_select_copy_int_207: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1099, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1099 = None 2025-03-21T20:31:48.9286598Z quantized_decomposed_quantize_per_tensor_default_728: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_207, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_207 = None 2025-03-21T20:31:48.9286708Z 2025-03-21T20:31:48.9287784Z # File: .50:2743 in forward, code: dequantize_per_tensor_default_881 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_881, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_881 = None 2025-03-21T20:31:48.9289102Z quantized_decomposed_dequantize_per_tensor_default_1100: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_728, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_728 = None 2025-03-21T20:31:48.9289199Z 2025-03-21T20:31:48.9289926Z # 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) 2025-03-21T20:31:48.9290843Z aten_permute_copy_default_179: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1055, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1055 = None 2025-03-21T20:31:48.9291929Z quantized_decomposed_quantize_per_tensor_default_729: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_179, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_179 = None 2025-03-21T20:31:48.9293241Z quantized_decomposed_dequantize_per_tensor_default_1101: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_729, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_729 = None 2025-03-21T20:31:48.9294116Z aten_select_copy_int_208: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1101, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1101 = None 2025-03-21T20:31:48.9295142Z quantized_decomposed_quantize_per_tensor_default_730: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_208, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_208 = None 2025-03-21T20:31:48.9296518Z quantized_decomposed_dequantize_per_tensor_default_1102: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_730, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_730 = None 2025-03-21T20:31:48.9297368Z aten_select_copy_int_209: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1102, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1102 = None 2025-03-21T20:31:48.9298379Z quantized_decomposed_quantize_per_tensor_default_731: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_209, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_209 = None 2025-03-21T20:31:48.9298490Z 2025-03-21T20:31:48.9299539Z # File: .50:2752 in forward, code: dequantize_per_tensor_default_884 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_884, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_884 = None 2025-03-21T20:31:48.9300860Z quantized_decomposed_dequantize_per_tensor_default_1103: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_731, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_731 = None 2025-03-21T20:31:48.9300956Z 2025-03-21T20:31:48.9301709Z # 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) 2025-03-21T20:31:48.9302616Z aten_permute_copy_default_180: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1054, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1054 = None 2025-03-21T20:31:48.9303702Z quantized_decomposed_quantize_per_tensor_default_732: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_180, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_180 = None 2025-03-21T20:31:48.9305014Z quantized_decomposed_dequantize_per_tensor_default_1104: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_732, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_732 = None 2025-03-21T20:31:48.9305863Z aten_select_copy_int_210: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1104, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1104 = None 2025-03-21T20:31:48.9306887Z quantized_decomposed_quantize_per_tensor_default_733: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_210, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_210 = None 2025-03-21T20:31:48.9308231Z quantized_decomposed_dequantize_per_tensor_default_1105: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_733, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_733 = None 2025-03-21T20:31:48.9309089Z aten_select_copy_int_211: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1105, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1105 = None 2025-03-21T20:31:48.9310165Z quantized_decomposed_quantize_per_tensor_default_734: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_211, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_211 = None 2025-03-21T20:31:48.9310263Z 2025-03-21T20:31:48.9311327Z # File: .50:2761 in forward, code: dequantize_per_tensor_default_887 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_887, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_887 = None 2025-03-21T20:31:48.9312629Z quantized_decomposed_dequantize_per_tensor_default_1106: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_734, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_734 = None 2025-03-21T20:31:48.9312741Z 2025-03-21T20:31:48.9313546Z # 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) 2025-03-21T20:31:48.9314476Z aten_permute_copy_default_181: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1053, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1053 = None 2025-03-21T20:31:48.9315567Z quantized_decomposed_quantize_per_tensor_default_735: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_181, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_181 = None 2025-03-21T20:31:48.9316900Z quantized_decomposed_dequantize_per_tensor_default_1107: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_735, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_735 = None 2025-03-21T20:31:48.9317738Z aten_select_copy_int_212: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1107, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1107 = None 2025-03-21T20:31:48.9318773Z quantized_decomposed_quantize_per_tensor_default_736: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_212, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_212 = None 2025-03-21T20:31:48.9320077Z quantized_decomposed_dequantize_per_tensor_default_1108: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_736, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_736 = None 2025-03-21T20:31:48.9320988Z aten_select_copy_int_213: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1108, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1108 = None 2025-03-21T20:31:48.9322014Z quantized_decomposed_quantize_per_tensor_default_737: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_213, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_213 = None 2025-03-21T20:31:48.9322134Z 2025-03-21T20:31:48.9323172Z # File: .50:2770 in forward, code: dequantize_per_tensor_default_890 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_890, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_890 = None 2025-03-21T20:31:48.9324514Z quantized_decomposed_dequantize_per_tensor_default_1109: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_737, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_737 = None 2025-03-21T20:31:48.9324630Z 2025-03-21T20:31:48.9325350Z # 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) 2025-03-21T20:31:48.9326265Z aten_permute_copy_default_182: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1052, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1052 = None 2025-03-21T20:31:48.9327349Z quantized_decomposed_quantize_per_tensor_default_738: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_182, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_182 = None 2025-03-21T20:31:48.9328702Z quantized_decomposed_dequantize_per_tensor_default_1110: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_738, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_738 = None 2025-03-21T20:31:48.9329550Z aten_select_copy_int_214: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1110, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1110 = None 2025-03-21T20:31:48.9330581Z quantized_decomposed_quantize_per_tensor_default_739: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_214, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_214 = None 2025-03-21T20:31:48.9331898Z quantized_decomposed_dequantize_per_tensor_default_1111: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_739, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_739 = None 2025-03-21T20:31:48.9332756Z aten_select_copy_int_215: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1111, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1111 = None 2025-03-21T20:31:48.9333775Z quantized_decomposed_quantize_per_tensor_default_740: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_215, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_select_copy_int_215 = None 2025-03-21T20:31:48.9333906Z 2025-03-21T20:31:48.9334959Z # File: .50:2779 in forward, code: dequantize_per_tensor_default_893 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_893, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_893 = None 2025-03-21T20:31:48.9336280Z quantized_decomposed_dequantize_per_tensor_default_1112: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_740, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_740 = None 2025-03-21T20:31:48.9336405Z 2025-03-21T20:31:48.9337158Z # 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) 2025-03-21T20:31:48.9343434Z aten_cat_default_18: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1079, quantized_decomposed_dequantize_per_tensor_default_1082, quantized_decomposed_dequantize_per_tensor_default_1085, quantized_decomposed_dequantize_per_tensor_default_1088, quantized_decomposed_dequantize_per_tensor_default_1091, quantized_decomposed_dequantize_per_tensor_default_1094, quantized_decomposed_dequantize_per_tensor_default_1097, quantized_decomposed_dequantize_per_tensor_default_1100, quantized_decomposed_dequantize_per_tensor_default_1103, quantized_decomposed_dequantize_per_tensor_default_1106, quantized_decomposed_dequantize_per_tensor_default_1109, quantized_decomposed_dequantize_per_tensor_default_1112]); quantized_decomposed_dequantize_per_tensor_default_1079 = quantized_decomposed_dequantize_per_tensor_default_1082 = quantized_decomposed_dequantize_per_tensor_default_1085 = quantized_decomposed_dequantize_per_tensor_default_1088 = quantized_decomposed_dequantize_per_tensor_default_1091 = quantized_decomposed_dequantize_per_tensor_default_1094 = quantized_decomposed_dequantize_per_tensor_default_1097 = quantized_decomposed_dequantize_per_tensor_default_1100 = quantized_decomposed_dequantize_per_tensor_default_1103 = quantized_decomposed_dequantize_per_tensor_default_1106 = quantized_decomposed_dequantize_per_tensor_default_1109 = quantized_decomposed_dequantize_per_tensor_default_1112 = None 2025-03-21T20:31:48.9344443Z quantized_decomposed_quantize_per_tensor_default_741: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_18, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_cat_default_18 = None 2025-03-21T20:31:48.9345772Z quantized_decomposed_dequantize_per_tensor_default_1113: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_741, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_741 = None 2025-03-21T20:31:48.9346660Z aten_view_copy_default_81: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1113, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1113 = None 2025-03-21T20:31:48.9347712Z quantized_decomposed_quantize_per_tensor_default_742: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_81, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_view_copy_default_81 = None 2025-03-21T20:31:48.9347812Z 2025-03-21T20:31:48.9348471Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.9349783Z quantized_decomposed_dequantize_per_tensor_default_1114: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_742, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_742 = None 2025-03-21T20:31:48.9349929Z 2025-03-21T20:31:48.9350648Z # 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) 2025-03-21T20:31:48.9351607Z aten_permute_copy_default_183: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1076, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1076 = None 2025-03-21T20:31:48.9352699Z quantized_decomposed_quantize_per_tensor_default_743: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_183, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_183 = None 2025-03-21T20:31:48.9354106Z quantized_decomposed_dequantize_per_tensor_default_1115: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_743, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_743 = None 2025-03-21T20:31:48.9354949Z aten_select_copy_int_216: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1115, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1115 = None 2025-03-21T20:31:48.9355989Z quantized_decomposed_quantize_per_tensor_default_744: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_216, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_216 = None 2025-03-21T20:31:48.9357312Z quantized_decomposed_dequantize_per_tensor_default_1116: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_744, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_744 = None 2025-03-21T20:31:48.9358160Z aten_select_copy_int_217: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1116, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1116 = None 2025-03-21T20:31:48.9359191Z quantized_decomposed_quantize_per_tensor_default_745: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_217, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_217 = None 2025-03-21T20:31:48.9359289Z 2025-03-21T20:31:48.9360339Z # File: .50:2794 in forward, code: dequantize_per_tensor_default_898 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_898, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_898 = None 2025-03-21T20:31:48.9361651Z quantized_decomposed_dequantize_per_tensor_default_1117: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_745, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_745 = None 2025-03-21T20:31:48.9361748Z 2025-03-21T20:31:48.9362484Z # 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) 2025-03-21T20:31:48.9363425Z aten_permute_copy_default_184: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1075, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1075 = None 2025-03-21T20:31:48.9364507Z quantized_decomposed_quantize_per_tensor_default_746: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_184, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_184 = None 2025-03-21T20:31:48.9365887Z quantized_decomposed_dequantize_per_tensor_default_1118: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_746, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_746 = None 2025-03-21T20:31:48.9366895Z aten_select_copy_int_218: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1118, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1118 = None 2025-03-21T20:31:48.9367929Z quantized_decomposed_quantize_per_tensor_default_747: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_218, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_218 = None 2025-03-21T20:31:48.9369235Z quantized_decomposed_dequantize_per_tensor_default_1119: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_747, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_747 = None 2025-03-21T20:31:48.9370086Z aten_select_copy_int_219: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1119, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1119 = None 2025-03-21T20:31:48.9371157Z quantized_decomposed_quantize_per_tensor_default_748: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_219, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_219 = None 2025-03-21T20:31:48.9371267Z 2025-03-21T20:31:48.9372324Z # File: .50:2803 in forward, code: dequantize_per_tensor_default_901 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_901, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_901 = None 2025-03-21T20:31:48.9373653Z quantized_decomposed_dequantize_per_tensor_default_1120: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_748, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_748 = None 2025-03-21T20:31:48.9373751Z 2025-03-21T20:31:48.9374486Z # 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) 2025-03-21T20:31:48.9375399Z aten_permute_copy_default_185: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1074, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1074 = None 2025-03-21T20:31:48.9376490Z quantized_decomposed_quantize_per_tensor_default_749: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_185, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_185 = None 2025-03-21T20:31:48.9377845Z quantized_decomposed_dequantize_per_tensor_default_1121: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_749, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_749 = None 2025-03-21T20:31:48.9378704Z aten_select_copy_int_220: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1121, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1121 = None 2025-03-21T20:31:48.9379790Z quantized_decomposed_quantize_per_tensor_default_750: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_220, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_220 = None 2025-03-21T20:31:48.9381120Z quantized_decomposed_dequantize_per_tensor_default_1122: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_750, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_750 = None 2025-03-21T20:31:48.9381962Z aten_select_copy_int_221: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1122, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1122 = None 2025-03-21T20:31:48.9382988Z quantized_decomposed_quantize_per_tensor_default_751: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_221, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_221 = None 2025-03-21T20:31:48.9383085Z 2025-03-21T20:31:48.9384153Z # File: .50:2812 in forward, code: dequantize_per_tensor_default_904 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_904, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_904 = None 2025-03-21T20:31:48.9385487Z quantized_decomposed_dequantize_per_tensor_default_1123: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_751, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_751 = None 2025-03-21T20:31:48.9385597Z 2025-03-21T20:31:48.9386319Z # 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) 2025-03-21T20:31:48.9387247Z aten_permute_copy_default_186: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1073, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1073 = None 2025-03-21T20:31:48.9388320Z quantized_decomposed_quantize_per_tensor_default_752: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_186, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_186 = None 2025-03-21T20:31:48.9389641Z quantized_decomposed_dequantize_per_tensor_default_1124: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_752, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_752 = None 2025-03-21T20:31:48.9390484Z aten_select_copy_int_222: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1124, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1124 = None 2025-03-21T20:31:48.9391544Z quantized_decomposed_quantize_per_tensor_default_753: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_222, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_222 = None 2025-03-21T20:31:48.9392937Z quantized_decomposed_dequantize_per_tensor_default_1125: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_753, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_753 = None 2025-03-21T20:31:48.9393833Z aten_select_copy_int_223: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1125, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1125 = None 2025-03-21T20:31:48.9394861Z quantized_decomposed_quantize_per_tensor_default_754: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_223, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_223 = None 2025-03-21T20:31:48.9394959Z 2025-03-21T20:31:48.9396029Z # File: .50:2821 in forward, code: dequantize_per_tensor_default_907 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_907, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_907 = None 2025-03-21T20:31:48.9397344Z quantized_decomposed_dequantize_per_tensor_default_1126: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_754, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_754 = None 2025-03-21T20:31:48.9397457Z 2025-03-21T20:31:48.9398171Z # 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) 2025-03-21T20:31:48.9399135Z aten_permute_copy_default_187: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1072, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1072 = None 2025-03-21T20:31:48.9400209Z quantized_decomposed_quantize_per_tensor_default_755: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_187, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_187 = None 2025-03-21T20:31:48.9401542Z quantized_decomposed_dequantize_per_tensor_default_1127: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_755, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_755 = None 2025-03-21T20:31:48.9402391Z aten_select_copy_int_224: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1127, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1127 = None 2025-03-21T20:31:48.9403426Z quantized_decomposed_quantize_per_tensor_default_756: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_224, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_224 = None 2025-03-21T20:31:48.9404742Z quantized_decomposed_dequantize_per_tensor_default_1128: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_756, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_756 = None 2025-03-21T20:31:48.9405616Z aten_select_copy_int_225: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1128, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1128 = None 2025-03-21T20:31:48.9406659Z quantized_decomposed_quantize_per_tensor_default_757: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_225, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_225 = None 2025-03-21T20:31:48.9406770Z 2025-03-21T20:31:48.9407847Z # File: .50:2830 in forward, code: dequantize_per_tensor_default_910 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_910, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_910 = None 2025-03-21T20:31:48.9409174Z quantized_decomposed_dequantize_per_tensor_default_1129: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_757, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_757 = None 2025-03-21T20:31:48.9409280Z 2025-03-21T20:31:48.9410007Z # 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) 2025-03-21T20:31:48.9410920Z aten_permute_copy_default_188: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1071, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1071 = None 2025-03-21T20:31:48.9412016Z quantized_decomposed_quantize_per_tensor_default_758: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_188, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_188 = None 2025-03-21T20:31:48.9413350Z quantized_decomposed_dequantize_per_tensor_default_1130: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_758, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_758 = None 2025-03-21T20:31:48.9414211Z aten_select_copy_int_226: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1130, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1130 = None 2025-03-21T20:31:48.9415242Z quantized_decomposed_quantize_per_tensor_default_759: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_226, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_226 = None 2025-03-21T20:31:48.9416563Z quantized_decomposed_dequantize_per_tensor_default_1131: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_759, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_759 = None 2025-03-21T20:31:48.9417401Z aten_select_copy_int_227: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1131, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1131 = None 2025-03-21T20:31:48.9418429Z quantized_decomposed_quantize_per_tensor_default_760: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_227, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_227 = None 2025-03-21T20:31:48.9418553Z 2025-03-21T20:31:48.9419611Z # File: .50:2839 in forward, code: dequantize_per_tensor_default_913 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_913, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_913 = None 2025-03-21T20:31:48.9420966Z quantized_decomposed_dequantize_per_tensor_default_1132: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_760, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_760 = None 2025-03-21T20:31:48.9421077Z 2025-03-21T20:31:48.9421794Z # 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) 2025-03-21T20:31:48.9422726Z aten_permute_copy_default_189: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1070, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1070 = None 2025-03-21T20:31:48.9423796Z quantized_decomposed_quantize_per_tensor_default_761: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_189, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_189 = None 2025-03-21T20:31:48.9425113Z quantized_decomposed_dequantize_per_tensor_default_1133: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_761, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_761 = None 2025-03-21T20:31:48.9425993Z aten_select_copy_int_228: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1133, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1133 = None 2025-03-21T20:31:48.9427008Z quantized_decomposed_quantize_per_tensor_default_762: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_228, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_228 = None 2025-03-21T20:31:48.9428332Z quantized_decomposed_dequantize_per_tensor_default_1134: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_762, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_762 = None 2025-03-21T20:31:48.9429171Z aten_select_copy_int_229: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1134, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1134 = None 2025-03-21T20:31:48.9430206Z quantized_decomposed_quantize_per_tensor_default_763: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_229, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_229 = None 2025-03-21T20:31:48.9430306Z 2025-03-21T20:31:48.9431370Z # File: .50:2848 in forward, code: dequantize_per_tensor_default_916 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_916, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_916 = None 2025-03-21T20:31:48.9432692Z quantized_decomposed_dequantize_per_tensor_default_1135: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_763, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_763 = None 2025-03-21T20:31:48.9432894Z 2025-03-21T20:31:48.9433614Z # 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) 2025-03-21T20:31:48.9434594Z aten_permute_copy_default_190: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1069, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1069 = None 2025-03-21T20:31:48.9435657Z quantized_decomposed_quantize_per_tensor_default_764: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_190, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_190 = None 2025-03-21T20:31:48.9436981Z quantized_decomposed_dequantize_per_tensor_default_1136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_764, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_764 = None 2025-03-21T20:31:48.9437823Z aten_select_copy_int_230: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1136, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1136 = None 2025-03-21T20:31:48.9438851Z quantized_decomposed_quantize_per_tensor_default_765: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_230, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_230 = None 2025-03-21T20:31:48.9440189Z quantized_decomposed_dequantize_per_tensor_default_1137: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_765, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_765 = None 2025-03-21T20:31:48.9441039Z aten_select_copy_int_231: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1137, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1137 = None 2025-03-21T20:31:48.9442059Z quantized_decomposed_quantize_per_tensor_default_766: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_231, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_231 = None 2025-03-21T20:31:48.9442171Z 2025-03-21T20:31:48.9443221Z # File: .50:2857 in forward, code: dequantize_per_tensor_default_919 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_919, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_919 = None 2025-03-21T20:31:48.9444539Z quantized_decomposed_dequantize_per_tensor_default_1138: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_766, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_766 = None 2025-03-21T20:31:48.9444639Z 2025-03-21T20:31:48.9445374Z # 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) 2025-03-21T20:31:48.9446315Z aten_permute_copy_default_191: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1068, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1068 = None 2025-03-21T20:31:48.9447409Z quantized_decomposed_quantize_per_tensor_default_767: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_191, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_191 = None 2025-03-21T20:31:48.9448786Z quantized_decomposed_dequantize_per_tensor_default_1139: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_767, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_767 = None 2025-03-21T20:31:48.9449643Z aten_select_copy_int_232: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1139, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1139 = None 2025-03-21T20:31:48.9450658Z quantized_decomposed_quantize_per_tensor_default_768: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_232, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_232 = None 2025-03-21T20:31:48.9451992Z quantized_decomposed_dequantize_per_tensor_default_1140: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_768, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_768 = None 2025-03-21T20:31:48.9452831Z aten_select_copy_int_233: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1140, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1140 = None 2025-03-21T20:31:48.9453883Z quantized_decomposed_quantize_per_tensor_default_769: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_233, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_233 = None 2025-03-21T20:31:48.9453983Z 2025-03-21T20:31:48.9455046Z # File: .50:2866 in forward, code: dequantize_per_tensor_default_922 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_922, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_922 = None 2025-03-21T20:31:48.9456370Z quantized_decomposed_dequantize_per_tensor_default_1141: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_769, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_769 = None 2025-03-21T20:31:48.9456470Z 2025-03-21T20:31:48.9457191Z # 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) 2025-03-21T20:31:48.9458120Z aten_permute_copy_default_192: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1067, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1067 = None 2025-03-21T20:31:48.9459186Z quantized_decomposed_quantize_per_tensor_default_770: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_192, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_192 = None 2025-03-21T20:31:48.9460536Z quantized_decomposed_dequantize_per_tensor_default_1142: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_770, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_770 = None 2025-03-21T20:31:48.9461416Z aten_select_copy_int_234: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1142, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1142 = None 2025-03-21T20:31:48.9462458Z quantized_decomposed_quantize_per_tensor_default_771: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_234, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_234 = None 2025-03-21T20:31:48.9463782Z quantized_decomposed_dequantize_per_tensor_default_1143: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_771, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_771 = None 2025-03-21T20:31:48.9464616Z aten_select_copy_int_235: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1143, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1143 = None 2025-03-21T20:31:48.9465646Z quantized_decomposed_quantize_per_tensor_default_772: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_235, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_235 = None 2025-03-21T20:31:48.9465744Z 2025-03-21T20:31:48.9466986Z # File: .50:2875 in forward, code: dequantize_per_tensor_default_925 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_925, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_925 = None 2025-03-21T20:31:48.9468338Z quantized_decomposed_dequantize_per_tensor_default_1144: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_772, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_772 = None 2025-03-21T20:31:48.9468456Z 2025-03-21T20:31:48.9469176Z # 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) 2025-03-21T20:31:48.9470110Z aten_permute_copy_default_193: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1066, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1066 = None 2025-03-21T20:31:48.9471182Z quantized_decomposed_quantize_per_tensor_default_773: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_193, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_193 = None 2025-03-21T20:31:48.9472504Z quantized_decomposed_dequantize_per_tensor_default_1145: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_773, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_773 = None 2025-03-21T20:31:48.9473418Z aten_select_copy_int_236: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1145, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1145 = None 2025-03-21T20:31:48.9474492Z quantized_decomposed_quantize_per_tensor_default_774: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_236, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_236 = None 2025-03-21T20:31:48.9475836Z quantized_decomposed_dequantize_per_tensor_default_1146: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_774, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_774 = None 2025-03-21T20:31:48.9476729Z aten_select_copy_int_237: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1146, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1146 = None 2025-03-21T20:31:48.9477755Z quantized_decomposed_quantize_per_tensor_default_775: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_237, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_237 = None 2025-03-21T20:31:48.9477867Z 2025-03-21T20:31:48.9478915Z # File: .50:2884 in forward, code: dequantize_per_tensor_default_928 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_928, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_928 = None 2025-03-21T20:31:48.9480241Z quantized_decomposed_dequantize_per_tensor_default_1147: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_775, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_775 = None 2025-03-21T20:31:48.9480341Z 2025-03-21T20:31:48.9481070Z # 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) 2025-03-21T20:31:48.9482011Z aten_permute_copy_default_194: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1065, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1065 = None 2025-03-21T20:31:48.9483095Z quantized_decomposed_quantize_per_tensor_default_776: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_194, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_permute_copy_default_194 = None 2025-03-21T20:31:48.9484404Z quantized_decomposed_dequantize_per_tensor_default_1148: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_776, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_776 = None 2025-03-21T20:31:48.9485263Z aten_select_copy_int_238: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1148, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1148 = None 2025-03-21T20:31:48.9486284Z quantized_decomposed_quantize_per_tensor_default_777: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_238, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_238 = None 2025-03-21T20:31:48.9487637Z quantized_decomposed_dequantize_per_tensor_default_1149: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_777, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_777 = None 2025-03-21T20:31:48.9488491Z aten_select_copy_int_239: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1149, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1149 = None 2025-03-21T20:31:48.9489521Z quantized_decomposed_quantize_per_tensor_default_778: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_239, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_select_copy_int_239 = None 2025-03-21T20:31:48.9489654Z 2025-03-21T20:31:48.9490703Z # File: .50:2893 in forward, code: dequantize_per_tensor_default_931 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_931, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_931 = None 2025-03-21T20:31:48.9492012Z quantized_decomposed_dequantize_per_tensor_default_1150: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_778, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_778 = None 2025-03-21T20:31:48.9492109Z 2025-03-21T20:31:48.9492825Z # 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) 2025-03-21T20:31:48.9499217Z aten_cat_default_19: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1117, quantized_decomposed_dequantize_per_tensor_default_1120, quantized_decomposed_dequantize_per_tensor_default_1123, quantized_decomposed_dequantize_per_tensor_default_1126, quantized_decomposed_dequantize_per_tensor_default_1129, quantized_decomposed_dequantize_per_tensor_default_1132, quantized_decomposed_dequantize_per_tensor_default_1135, quantized_decomposed_dequantize_per_tensor_default_1138, quantized_decomposed_dequantize_per_tensor_default_1141, quantized_decomposed_dequantize_per_tensor_default_1144, quantized_decomposed_dequantize_per_tensor_default_1147, quantized_decomposed_dequantize_per_tensor_default_1150]); quantized_decomposed_dequantize_per_tensor_default_1117 = quantized_decomposed_dequantize_per_tensor_default_1120 = quantized_decomposed_dequantize_per_tensor_default_1123 = quantized_decomposed_dequantize_per_tensor_default_1126 = quantized_decomposed_dequantize_per_tensor_default_1129 = quantized_decomposed_dequantize_per_tensor_default_1132 = quantized_decomposed_dequantize_per_tensor_default_1135 = quantized_decomposed_dequantize_per_tensor_default_1138 = quantized_decomposed_dequantize_per_tensor_default_1141 = quantized_decomposed_dequantize_per_tensor_default_1144 = quantized_decomposed_dequantize_per_tensor_default_1147 = quantized_decomposed_dequantize_per_tensor_default_1150 = None 2025-03-21T20:31:48.9500226Z quantized_decomposed_quantize_per_tensor_default_779: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_19, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_cat_default_19 = None 2025-03-21T20:31:48.9501549Z quantized_decomposed_dequantize_per_tensor_default_1151: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_779, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_779 = None 2025-03-21T20:31:48.9502455Z aten_view_copy_default_82: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1151, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1151 = None 2025-03-21T20:31:48.9503504Z quantized_decomposed_quantize_per_tensor_default_780: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_82, 0.00012666585098486394, 35736, 0, 65535, torch.int32); aten_view_copy_default_82 = None 2025-03-21T20:31:48.9503642Z 2025-03-21T20:31:48.9504722Z # File: .50:2899 in forward, code: dequantize_per_tensor_default_933 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_933, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantize_per_tensor_default_933 = None 2025-03-21T20:31:48.9506031Z quantized_decomposed_dequantize_per_tensor_default_1152: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_780, 0.00012666585098486394, 35736, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_780 = None 2025-03-21T20:31:48.9506144Z 2025-03-21T20:31:48.9507192Z # File: .50:2900 in forward, code: quantize_per_tensor_default_934 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_933, 0.00013814217527396977, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_933 = None 2025-03-21T20:31:48.9508529Z quantized_decomposed_quantize_per_tensor_default_781: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1152, 0.00013814217527396977, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1152 = None 2025-03-21T20:31:48.9508627Z 2025-03-21T20:31:48.9509158Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.9510507Z quantized_decomposed_dequantize_per_tensor_default_1153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_781, 0.00013814217527396977, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_781 = None 2025-03-21T20:31:48.9510624Z 2025-03-21T20:31:48.9511174Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:48.9512088Z aten_index_tensor_6: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_127, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_127 = None 2025-03-21T20:31:48.9513149Z quantized_decomposed_quantize_per_tensor_default_782: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_6, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_6 = None 2025-03-21T20:31:48.9513260Z 2025-03-21T20:31:48.9513803Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.9515120Z quantized_decomposed_dequantize_per_tensor_default_1154: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_782, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_782 = None 2025-03-21T20:31:48.9515219Z 2025-03-21T20:31:48.9515893Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.9516824Z aten_permute_copy_default_195: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1114, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1114 = None 2025-03-21T20:31:48.9517902Z quantized_decomposed_quantize_per_tensor_default_783: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_195, 0.00040260335663333535, 31896, 0, 65535, torch.int32); aten_permute_copy_default_195 = None 2025-03-21T20:31:48.9518041Z 2025-03-21T20:31:48.9519117Z # File: .50:2907 in forward, code: dequantize_per_tensor_default_936 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_936, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantize_per_tensor_default_936 = None 2025-03-21T20:31:48.9520446Z quantized_decomposed_dequantize_per_tensor_default_1155: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_783, 0.00040260335663333535, 31896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_783 = None 2025-03-21T20:31:48.9520546Z 2025-03-21T20:31:48.9521602Z # File: .50:2908 in forward, code: quantize_per_tensor_default_937 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_936, 0.0004133212787564844, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_936 = None 2025-03-21T20:31:48.9522913Z quantized_decomposed_quantize_per_tensor_default_784: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1155, 0.0004133212787564844, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1155 = None 2025-03-21T20:31:48.9523025Z 2025-03-21T20:31:48.9523691Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.9525017Z quantized_decomposed_dequantize_per_tensor_default_1156: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_784, 0.0004133212787564844, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_784 = None 2025-03-21T20:31:48.9525909Z aten_expand_copy_default_16: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1050, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1050 = None 2025-03-21T20:31:48.9526556Z 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 2025-03-21T20:31:48.9527455Z aten_expand_copy_default_17: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1156, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1156 = None 2025-03-21T20:31:48.9528099Z 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 2025-03-21T20:31:48.9528831Z 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 2025-03-21T20:31:48.9529442Z 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 2025-03-21T20:31:48.9530492Z quantized_decomposed_quantize_per_tensor_default_785: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_85, 0.0038901909720152617, 41062, 0, 65535, torch.int32); aten_view_copy_default_85 = None 2025-03-21T20:31:48.9531876Z quantized_decomposed_dequantize_per_tensor_default_1157: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_785, 0.0038901909720152617, 41062, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_785 = None 2025-03-21T20:31:48.9532860Z quantized_decomposed_dequantize_per_tensor_default_1158: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param153, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param153 = None 2025-03-21T20:31:48.9534165Z aten_mul_tensor_70: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1157, quantized_decomposed_dequantize_per_tensor_default_1158); quantized_decomposed_dequantize_per_tensor_default_1157 = quantized_decomposed_dequantize_per_tensor_default_1158 = None 2025-03-21T20:31:48.9535161Z quantized_decomposed_quantize_per_tensor_default_786: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_70, 0.0004862738715019077, 41062, 0, 65535, torch.int32); aten_mul_tensor_70 = None 2025-03-21T20:31:48.9535262Z 2025-03-21T20:31:48.9535819Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:48.9537160Z quantized_decomposed_dequantize_per_tensor_default_1159: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_786, 0.0004862738715019077, 41062, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_786 = None 2025-03-21T20:31:48.9538465Z aten_add_tensor_22: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1159, quantized_decomposed_dequantize_per_tensor_default_1154); quantized_decomposed_dequantize_per_tensor_default_1159 = quantized_decomposed_dequantize_per_tensor_default_1154 = None 2025-03-21T20:31:48.9539438Z quantized_decomposed_quantize_per_tensor_default_787: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_22, 0.004292679484933615, 62763, 0, 65535, torch.int32); aten_add_tensor_22 = None 2025-03-21T20:31:48.9539553Z 2025-03-21T20:31:48.9540193Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:48.9541519Z quantized_decomposed_dequantize_per_tensor_default_1160: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_787, 0.004292679484933615, 62763, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_787 = None 2025-03-21T20:31:48.9542416Z aten__softmax_default_4: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1160, -1, False); quantized_decomposed_dequantize_per_tensor_default_1160 = None 2025-03-21T20:31:48.9543471Z quantized_decomposed_quantize_per_tensor_default_788: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_4, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_4 = None 2025-03-21T20:31:48.9543574Z 2025-03-21T20:31:48.9544109Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:48.9545434Z quantized_decomposed_dequantize_per_tensor_default_1161: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_788, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_788 = None 2025-03-21T20:31:48.9546373Z aten_expand_copy_default_18: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1161, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1161 = None 2025-03-21T20:31:48.9547004Z 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 2025-03-21T20:31:48.9547933Z aten_expand_copy_default_19: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1153, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1153 = None 2025-03-21T20:31:48.9548574Z 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 2025-03-21T20:31:48.9549313Z 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 2025-03-21T20:31:48.9549878Z 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 2025-03-21T20:31:48.9550935Z quantized_decomposed_quantize_per_tensor_default_789: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_88, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_view_copy_default_88 = None 2025-03-21T20:31:48.9551039Z 2025-03-21T20:31:48.9551759Z # 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) 2025-03-21T20:31:48.9553164Z quantized_decomposed_dequantize_per_tensor_default_1162: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_789, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_789 = None 2025-03-21T20:31:48.9554087Z aten_permute_copy_default_196: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1162, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1162 = None 2025-03-21T20:31:48.9555138Z quantized_decomposed_quantize_per_tensor_default_790: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_196, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_permute_copy_default_196 = None 2025-03-21T20:31:48.9556451Z quantized_decomposed_dequantize_per_tensor_default_1163: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_790, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_790 = None 2025-03-21T20:31:48.9557362Z aten_view_copy_default_89: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1163, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1163 = None 2025-03-21T20:31:48.9558426Z quantized_decomposed_quantize_per_tensor_default_791: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_89, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_view_copy_default_89 = None 2025-03-21T20:31:48.9558522Z 2025-03-21T20:31:48.9559147Z # 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) 2025-03-21T20:31:48.9560454Z quantized_decomposed_dequantize_per_tensor_default_1164: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_791, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_791 = None 2025-03-21T20:31:48.9561378Z aten_unsqueeze_copy_default_51: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1164, -1); quantized_decomposed_dequantize_per_tensor_default_1164 = None 2025-03-21T20:31:48.9562456Z quantized_decomposed_quantize_per_tensor_default_792: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_51, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_unsqueeze_copy_default_51 = None 2025-03-21T20:31:48.9562565Z 2025-03-21T20:31:48.9563021Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.9564359Z quantized_decomposed_dequantize_per_tensor_default_1165: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_792, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_792 = None 2025-03-21T20:31:48.9565278Z aten_permute_copy_default_197: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1165, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1165 = None 2025-03-21T20:31:48.9566345Z quantized_decomposed_quantize_per_tensor_default_793: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_197, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); aten_permute_copy_default_197 = None 2025-03-21T20:31:48.9566445Z 2025-03-21T20:31:48.9567053Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.9568364Z quantized_decomposed_dequantize_per_tensor_default_1166: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_793, 7.019092299742624e-05, 30970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_793 = None 2025-03-21T20:31:48.9569836Z aten_convolution_default_31: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1166, quantized_decomposed_dequantize_per_tensor_default_41, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1166 = quantized_decomposed_dequantize_per_tensor_default_41 = None 2025-03-21T20:31:48.9570941Z quantized_decomposed_quantize_per_tensor_default_794: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_31, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); aten_convolution_default_31 = None 2025-03-21T20:31:48.9571052Z 2025-03-21T20:31:48.9571568Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.9572916Z quantized_decomposed_dequantize_per_tensor_default_1167: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_794, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_794 = None 2025-03-21T20:31:48.9573825Z aten_permute_copy_default_198: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1167, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1167 = None 2025-03-21T20:31:48.9574887Z quantized_decomposed_quantize_per_tensor_default_795: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_198, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); aten_permute_copy_default_198 = None 2025-03-21T20:31:48.9574985Z 2025-03-21T20:31:48.9575601Z # 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]) 2025-03-21T20:31:48.9576900Z quantized_decomposed_dequantize_per_tensor_default_1168: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_795, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_795 = None 2025-03-21T20:31:48.9577804Z aten_squeeze_copy_dims_51: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1168, [-1]); quantized_decomposed_dequantize_per_tensor_default_1168 = None 2025-03-21T20:31:48.9578831Z quantized_decomposed_quantize_per_tensor_default_796: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_51, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); aten_squeeze_copy_dims_51 = None 2025-03-21T20:31:48.9578943Z 2025-03-21T20:31:48.9579363Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.9580688Z quantized_decomposed_dequantize_per_tensor_default_1169: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_796, 5.287839303491637e-05, 36634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_796 = None 2025-03-21T20:31:48.9581978Z aten_add_tensor_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_989, quantized_decomposed_dequantize_per_tensor_default_1169); quantized_decomposed_dequantize_per_tensor_default_989 = quantized_decomposed_dequantize_per_tensor_default_1169 = None 2025-03-21T20:31:48.9582961Z quantized_decomposed_quantize_per_tensor_default_797: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_23, 0.0024935125838965178, 6282, 0, 65535, torch.int32); aten_add_tensor_23 = None 2025-03-21T20:31:48.9583084Z 2025-03-21T20:31:48.9583670Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.9584715Z quantized_decomposed_dequantize_per_tensor_default_1170: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_797, 0.0024935125838965178, 6282, 0, 65535, torch.int32) 2025-03-21T20:31:48.9586050Z quantized_decomposed_dequantize_per_tensor_default_1171: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_797, 0.0024935125838965178, 6282, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_797 = None 2025-03-21T20:31:48.9586654Z aten_pow_tensor_scalar_9: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1171, 2) 2025-03-21T20:31:48.9587178Z 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 2025-03-21T20:31:48.9587673Z 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 2025-03-21T20:31:48.9588149Z 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 2025-03-21T20:31:48.9589119Z aten_mul_tensor_71: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1171, aten_rsqrt_default_9); quantized_decomposed_dequantize_per_tensor_default_1171 = aten_rsqrt_default_9 = None 2025-03-21T20:31:48.9590042Z aten_mul_tensor_72: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_71, quantized_decomposed_dequantize_per_tensor_default_42); aten_mul_tensor_71 = quantized_decomposed_dequantize_per_tensor_default_42 = None 2025-03-21T20:31:48.9591040Z quantized_decomposed_quantize_per_tensor_default_798: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_72, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_mul_tensor_72 = None 2025-03-21T20:31:48.9591151Z 2025-03-21T20:31:48.9591736Z # 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) 2025-03-21T20:31:48.9592884Z quantized_decomposed_dequantize_per_tensor_default_1172: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_798, 0.0003157795872539282, 17787, 0, 65535, torch.int32) 2025-03-21T20:31:48.9594181Z quantized_decomposed_dequantize_per_tensor_default_1173: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_798, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_798 = None 2025-03-21T20:31:48.9595105Z aten_unsqueeze_copy_default_52: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1173, -1); quantized_decomposed_dequantize_per_tensor_default_1173 = None 2025-03-21T20:31:48.9596181Z quantized_decomposed_quantize_per_tensor_default_799: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_52, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_unsqueeze_copy_default_52 = None 2025-03-21T20:31:48.9596291Z 2025-03-21T20:31:48.9596773Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.9598098Z quantized_decomposed_dequantize_per_tensor_default_1174: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_799, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_799 = None 2025-03-21T20:31:48.9599036Z aten_permute_copy_default_199: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1174, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1174 = None 2025-03-21T20:31:48.9600169Z quantized_decomposed_quantize_per_tensor_default_800: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_199, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_permute_copy_default_199 = None 2025-03-21T20:31:48.9600270Z 2025-03-21T20:31:48.9600692Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.9602006Z quantized_decomposed_dequantize_per_tensor_default_1175: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_800, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_800 = None 2025-03-21T20:31:48.9603493Z aten_convolution_default_32: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1175, quantized_decomposed_dequantize_per_tensor_default_43, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1175 = quantized_decomposed_dequantize_per_tensor_default_43 = None 2025-03-21T20:31:48.9604567Z quantized_decomposed_quantize_per_tensor_default_801: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_32, 0.00021449536143336445, 27755, 0, 65535, torch.int32); aten_convolution_default_32 = None 2025-03-21T20:31:48.9604715Z 2025-03-21T20:31:48.9605190Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.9606530Z quantized_decomposed_dequantize_per_tensor_default_1176: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_801, 0.00021449536143336445, 27755, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_801 = None 2025-03-21T20:31:48.9607447Z aten_permute_copy_default_200: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1176, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1176 = None 2025-03-21T20:31:48.9608545Z quantized_decomposed_quantize_per_tensor_default_802: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_200, 0.00021449536143336445, 27755, 0, 65535, torch.int32); aten_permute_copy_default_200 = None 2025-03-21T20:31:48.9608644Z 2025-03-21T20:31:48.9609263Z # 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]) 2025-03-21T20:31:48.9610586Z quantized_decomposed_dequantize_per_tensor_default_1177: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_802, 0.00021449536143336445, 27755, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_802 = None 2025-03-21T20:31:48.9611487Z aten_squeeze_copy_dims_52: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1177, [-1]); quantized_decomposed_dequantize_per_tensor_default_1177 = None 2025-03-21T20:31:48.9612522Z quantized_decomposed_quantize_per_tensor_default_803: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_52, 0.00021449536143336445, 27755, 0, 65535, torch.int32); aten_squeeze_copy_dims_52 = None 2025-03-21T20:31:48.9612657Z 2025-03-21T20:31:48.9613260Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.9614332Z quantized_decomposed_dequantize_per_tensor_default_1178: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_803, 0.00021449536143336445, 27755, 0, 65535, torch.int32) 2025-03-21T20:31:48.9615652Z quantized_decomposed_dequantize_per_tensor_default_1179: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_803, 0.00021449536143336445, 27755, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_803 = None 2025-03-21T20:31:48.9616512Z aten_sigmoid_default_4: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1179); quantized_decomposed_dequantize_per_tensor_default_1179 = None 2025-03-21T20:31:48.9617486Z quantized_decomposed_quantize_per_tensor_default_804: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_4, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_4 = None 2025-03-21T20:31:48.9618797Z quantized_decomposed_dequantize_per_tensor_default_1180: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_804, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_804 = None 2025-03-21T20:31:48.9620115Z aten_mul_tensor_73: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1178, quantized_decomposed_dequantize_per_tensor_default_1180); quantized_decomposed_dequantize_per_tensor_default_1178 = quantized_decomposed_dequantize_per_tensor_default_1180 = None 2025-03-21T20:31:48.9621085Z quantized_decomposed_quantize_per_tensor_default_805: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_73, 0.0001278657728107646, 2178, 0, 65535, torch.int32); aten_mul_tensor_73 = None 2025-03-21T20:31:48.9622403Z quantized_decomposed_dequantize_per_tensor_default_1181: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_805, 0.0001278657728107646, 2178, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_805 = None 2025-03-21T20:31:48.9622502Z 2025-03-21T20:31:48.9623095Z # 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) 2025-03-21T20:31:48.9624014Z aten_unsqueeze_copy_default_53: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1172, -1); quantized_decomposed_dequantize_per_tensor_default_1172 = None 2025-03-21T20:31:48.9625132Z quantized_decomposed_quantize_per_tensor_default_806: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_53, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_unsqueeze_copy_default_53 = None 2025-03-21T20:31:48.9625228Z 2025-03-21T20:31:48.9625684Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.9627049Z quantized_decomposed_dequantize_per_tensor_default_1182: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_806, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_806 = None 2025-03-21T20:31:48.9627975Z aten_permute_copy_default_201: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1182, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1182 = None 2025-03-21T20:31:48.9629040Z quantized_decomposed_quantize_per_tensor_default_807: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_201, 0.0003157795872539282, 17787, 0, 65535, torch.int32); aten_permute_copy_default_201 = None 2025-03-21T20:31:48.9629151Z 2025-03-21T20:31:48.9629558Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.9630873Z quantized_decomposed_dequantize_per_tensor_default_1183: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_807, 0.0003157795872539282, 17787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_807 = None 2025-03-21T20:31:48.9632375Z aten_convolution_default_33: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1183, quantized_decomposed_dequantize_per_tensor_default_44, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1183 = quantized_decomposed_dequantize_per_tensor_default_44 = None 2025-03-21T20:31:48.9633534Z quantized_decomposed_quantize_per_tensor_default_808: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_33, 0.0002493332722224295, 30131, 0, 65535, torch.int32); aten_convolution_default_33 = None 2025-03-21T20:31:48.9633630Z 2025-03-21T20:31:48.9634105Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.9635428Z quantized_decomposed_dequantize_per_tensor_default_1184: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_808, 0.0002493332722224295, 30131, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_808 = None 2025-03-21T20:31:48.9636353Z aten_permute_copy_default_202: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1184, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1184 = None 2025-03-21T20:31:48.9637427Z quantized_decomposed_quantize_per_tensor_default_809: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_202, 0.0002493332722224295, 30131, 0, 65535, torch.int32); aten_permute_copy_default_202 = None 2025-03-21T20:31:48.9637568Z 2025-03-21T20:31:48.9638169Z # 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]) 2025-03-21T20:31:48.9639497Z quantized_decomposed_dequantize_per_tensor_default_1185: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_809, 0.0002493332722224295, 30131, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_809 = None 2025-03-21T20:31:48.9640386Z aten_squeeze_copy_dims_53: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1185, [-1]); quantized_decomposed_dequantize_per_tensor_default_1185 = None 2025-03-21T20:31:48.9641457Z quantized_decomposed_quantize_per_tensor_default_810: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_53, 0.0002493332722224295, 30131, 0, 65535, torch.int32); aten_squeeze_copy_dims_53 = None 2025-03-21T20:31:48.9641559Z 2025-03-21T20:31:48.9642137Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:48.9643457Z quantized_decomposed_dequantize_per_tensor_default_1186: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_810, 0.0002493332722224295, 30131, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_810 = None 2025-03-21T20:31:48.9644772Z aten_mul_tensor_74: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1181, quantized_decomposed_dequantize_per_tensor_default_1186); quantized_decomposed_dequantize_per_tensor_default_1181 = quantized_decomposed_dequantize_per_tensor_default_1186 = None 2025-03-21T20:31:48.9645751Z quantized_decomposed_quantize_per_tensor_default_811: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_74, 0.0006259557558223605, 32226, 0, 65535, torch.int32); aten_mul_tensor_74 = None 2025-03-21T20:31:48.9645907Z 2025-03-21T20:31:48.9646486Z # 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) 2025-03-21T20:31:48.9647819Z quantized_decomposed_dequantize_per_tensor_default_1187: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_811, 0.0006259557558223605, 32226, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_811 = None 2025-03-21T20:31:48.9648749Z aten_unsqueeze_copy_default_54: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1187, -1); quantized_decomposed_dequantize_per_tensor_default_1187 = None 2025-03-21T20:31:48.9649848Z quantized_decomposed_quantize_per_tensor_default_812: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_54, 0.0006259557558223605, 32226, 0, 65535, torch.int32); aten_unsqueeze_copy_default_54 = None 2025-03-21T20:31:48.9649949Z 2025-03-21T20:31:48.9650417Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.9651743Z quantized_decomposed_dequantize_per_tensor_default_1188: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_812, 0.0006259557558223605, 32226, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_812 = None 2025-03-21T20:31:48.9652699Z aten_permute_copy_default_203: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1188, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1188 = None 2025-03-21T20:31:48.9653774Z quantized_decomposed_quantize_per_tensor_default_813: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_203, 0.0006259557558223605, 32226, 0, 65535, torch.int32); aten_permute_copy_default_203 = None 2025-03-21T20:31:48.9653915Z 2025-03-21T20:31:48.9654323Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.9655701Z quantized_decomposed_dequantize_per_tensor_default_1189: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_813, 0.0006259557558223605, 32226, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_813 = None 2025-03-21T20:31:48.9657157Z aten_convolution_default_34: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1189, quantized_decomposed_dequantize_per_tensor_default_45, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1189 = quantized_decomposed_dequantize_per_tensor_default_45 = None 2025-03-21T20:31:48.9658222Z quantized_decomposed_quantize_per_tensor_default_814: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_34, 0.0005451498436741531, 6186, 0, 65535, torch.int32); aten_convolution_default_34 = None 2025-03-21T20:31:48.9658322Z 2025-03-21T20:31:48.9658807Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.9660132Z quantized_decomposed_dequantize_per_tensor_default_1190: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_814, 0.0005451498436741531, 6186, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_814 = None 2025-03-21T20:31:48.9661062Z aten_permute_copy_default_204: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1190, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1190 = None 2025-03-21T20:31:48.9664725Z quantized_decomposed_quantize_per_tensor_default_815: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_204, 0.0005451498436741531, 6186, 0, 65535, torch.int32); aten_permute_copy_default_204 = None 2025-03-21T20:31:48.9664843Z 2025-03-21T20:31:48.9665464Z # 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]) 2025-03-21T20:31:48.9667176Z quantized_decomposed_dequantize_per_tensor_default_1191: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_815, 0.0005451498436741531, 6186, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_815 = None 2025-03-21T20:31:48.9668063Z aten_squeeze_copy_dims_54: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1191, [-1]); quantized_decomposed_dequantize_per_tensor_default_1191 = None 2025-03-21T20:31:48.9669189Z quantized_decomposed_quantize_per_tensor_default_816: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_54, 0.0005451498436741531, 6186, 0, 65535, torch.int32); aten_squeeze_copy_dims_54 = None 2025-03-21T20:31:48.9669290Z 2025-03-21T20:31:48.9669879Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:48.9671221Z quantized_decomposed_dequantize_per_tensor_default_1192: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_816, 0.0005451498436741531, 6186, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_816 = None 2025-03-21T20:31:48.9672568Z aten_add_tensor_24: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1170, quantized_decomposed_dequantize_per_tensor_default_1192); quantized_decomposed_dequantize_per_tensor_default_1170 = quantized_decomposed_dequantize_per_tensor_default_1192 = None 2025-03-21T20:31:48.9673632Z quantized_decomposed_quantize_per_tensor_default_817: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_24, 0.0026261727325618267, 6169, 0, 65535, torch.int32); aten_add_tensor_24 = None 2025-03-21T20:31:48.9673751Z 2025-03-21T20:31:48.9674172Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:48.9675230Z quantized_decomposed_dequantize_per_tensor_default_1193: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_817, 0.0026261727325618267, 6169, 0, 65535, torch.int32) 2025-03-21T20:31:48.9675332Z 2025-03-21T20:31:48.9675987Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:48.9677289Z quantized_decomposed_dequantize_per_tensor_default_1194: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_817, 0.0026261727325618267, 6169, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_817 = None 2025-03-21T20:31:48.9677893Z aten_pow_tensor_scalar_10: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1194, 2) 2025-03-21T20:31:48.9678410Z 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 2025-03-21T20:31:48.9679030Z 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 2025-03-21T20:31:48.9679507Z 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 2025-03-21T20:31:48.9680497Z aten_mul_tensor_75: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1194, aten_rsqrt_default_10); quantized_decomposed_dequantize_per_tensor_default_1194 = aten_rsqrt_default_10 = None 2025-03-21T20:31:48.9681408Z aten_mul_tensor_76: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_75, quantized_decomposed_dequantize_per_tensor_default_46); aten_mul_tensor_75 = quantized_decomposed_dequantize_per_tensor_default_46 = None 2025-03-21T20:31:48.9682418Z quantized_decomposed_quantize_per_tensor_default_818: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_76, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_mul_tensor_76 = None 2025-03-21T20:31:48.9682517Z 2025-03-21T20:31:48.9683113Z # 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) 2025-03-21T20:31:48.9684188Z quantized_decomposed_dequantize_per_tensor_default_1195: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_818, 0.000380539771867916, 30682, 0, 65535, torch.int32) 2025-03-21T20:31:48.9685265Z quantized_decomposed_dequantize_per_tensor_default_1196: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_818, 0.000380539771867916, 30682, 0, 65535, torch.int32) 2025-03-21T20:31:48.9686561Z quantized_decomposed_dequantize_per_tensor_default_1197: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_818, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_818 = None 2025-03-21T20:31:48.9687495Z aten_unsqueeze_copy_default_55: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1197, -1); quantized_decomposed_dequantize_per_tensor_default_1197 = None 2025-03-21T20:31:48.9688570Z quantized_decomposed_quantize_per_tensor_default_819: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_55, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_unsqueeze_copy_default_55 = None 2025-03-21T20:31:48.9688684Z 2025-03-21T20:31:48.9689145Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.9690464Z quantized_decomposed_dequantize_per_tensor_default_1198: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_819, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_819 = None 2025-03-21T20:31:48.9691371Z aten_permute_copy_default_205: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1198, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1198 = None 2025-03-21T20:31:48.9692482Z quantized_decomposed_quantize_per_tensor_default_820: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_205, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_permute_copy_default_205 = None 2025-03-21T20:31:48.9692583Z 2025-03-21T20:31:48.9693005Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.9694307Z quantized_decomposed_dequantize_per_tensor_default_1199: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_820, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_820 = None 2025-03-21T20:31:48.9695768Z aten_convolution_default_35: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1199, quantized_decomposed_dequantize_per_tensor_default_47, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1199 = quantized_decomposed_dequantize_per_tensor_default_47 = None 2025-03-21T20:31:48.9696847Z quantized_decomposed_quantize_per_tensor_default_821: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_35, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_convolution_default_35 = None 2025-03-21T20:31:48.9696989Z 2025-03-21T20:31:48.9697462Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.9698809Z quantized_decomposed_dequantize_per_tensor_default_1200: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_821, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_821 = None 2025-03-21T20:31:48.9699719Z aten_permute_copy_default_206: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1200, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1200 = None 2025-03-21T20:31:48.9700790Z quantized_decomposed_quantize_per_tensor_default_822: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_206, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_permute_copy_default_206 = None 2025-03-21T20:31:48.9700889Z 2025-03-21T20:31:48.9701503Z # 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]) 2025-03-21T20:31:48.9702817Z quantized_decomposed_dequantize_per_tensor_default_1201: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_822, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_822 = None 2025-03-21T20:31:48.9703688Z aten_squeeze_copy_dims_55: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1201, [-1]); quantized_decomposed_dequantize_per_tensor_default_1201 = None 2025-03-21T20:31:48.9704710Z quantized_decomposed_quantize_per_tensor_default_823: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_55, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_squeeze_copy_dims_55 = None 2025-03-21T20:31:48.9704817Z 2025-03-21T20:31:48.9705397Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.9706742Z quantized_decomposed_dequantize_per_tensor_default_1202: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_823, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_823 = None 2025-03-21T20:31:48.9706840Z 2025-03-21T20:31:48.9707428Z # 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) 2025-03-21T20:31:48.9708346Z aten_unsqueeze_copy_default_56: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1196, -1); quantized_decomposed_dequantize_per_tensor_default_1196 = None 2025-03-21T20:31:48.9709437Z quantized_decomposed_quantize_per_tensor_default_824: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_56, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_unsqueeze_copy_default_56 = None 2025-03-21T20:31:48.9709575Z 2025-03-21T20:31:48.9710041Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.9711340Z quantized_decomposed_dequantize_per_tensor_default_1203: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_824, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_824 = None 2025-03-21T20:31:48.9712316Z aten_permute_copy_default_207: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1203, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1203 = None 2025-03-21T20:31:48.9713453Z quantized_decomposed_quantize_per_tensor_default_825: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_207, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_permute_copy_default_207 = None 2025-03-21T20:31:48.9713566Z 2025-03-21T20:31:48.9713974Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.9715291Z quantized_decomposed_dequantize_per_tensor_default_1204: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_825, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_825 = None 2025-03-21T20:31:48.9716755Z aten_convolution_default_36: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1204, quantized_decomposed_dequantize_per_tensor_default_48, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1204 = quantized_decomposed_dequantize_per_tensor_default_48 = None 2025-03-21T20:31:48.9717825Z quantized_decomposed_quantize_per_tensor_default_826: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_36, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_convolution_default_36 = None 2025-03-21T20:31:48.9717926Z 2025-03-21T20:31:48.9718407Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.9719746Z quantized_decomposed_dequantize_per_tensor_default_1205: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_826, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_826 = None 2025-03-21T20:31:48.9720670Z aten_permute_copy_default_208: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1205, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1205 = None 2025-03-21T20:31:48.9721738Z quantized_decomposed_quantize_per_tensor_default_827: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_208, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_permute_copy_default_208 = None 2025-03-21T20:31:48.9721850Z 2025-03-21T20:31:48.9722457Z # 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]) 2025-03-21T20:31:48.9723803Z quantized_decomposed_dequantize_per_tensor_default_1206: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_827, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_827 = None 2025-03-21T20:31:48.9724658Z aten_squeeze_copy_dims_56: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1206, [-1]); quantized_decomposed_dequantize_per_tensor_default_1206 = None 2025-03-21T20:31:48.9725743Z quantized_decomposed_quantize_per_tensor_default_828: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_56, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_squeeze_copy_dims_56 = None 2025-03-21T20:31:48.9725844Z 2025-03-21T20:31:48.9726454Z # 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) 2025-03-21T20:31:48.9727761Z quantized_decomposed_dequantize_per_tensor_default_1207: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_828, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_828 = None 2025-03-21T20:31:48.9727872Z 2025-03-21T20:31:48.9728445Z # 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) 2025-03-21T20:31:48.9729378Z aten_unsqueeze_copy_default_57: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1195, -1); quantized_decomposed_dequantize_per_tensor_default_1195 = None 2025-03-21T20:31:48.9730450Z quantized_decomposed_quantize_per_tensor_default_829: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_57, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_unsqueeze_copy_default_57 = None 2025-03-21T20:31:48.9730562Z 2025-03-21T20:31:48.9731014Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:48.9732325Z quantized_decomposed_dequantize_per_tensor_default_1208: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_829, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_829 = None 2025-03-21T20:31:48.9733281Z aten_permute_copy_default_209: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1208, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1208 = None 2025-03-21T20:31:48.9734344Z quantized_decomposed_quantize_per_tensor_default_830: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_209, 0.000380539771867916, 30682, 0, 65535, torch.int32); aten_permute_copy_default_209 = None 2025-03-21T20:31:48.9734445Z 2025-03-21T20:31:48.9734853Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:48.9736173Z quantized_decomposed_dequantize_per_tensor_default_1209: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_830, 0.000380539771867916, 30682, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_830 = None 2025-03-21T20:31:48.9737664Z aten_convolution_default_37: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1209, quantized_decomposed_dequantize_per_tensor_default_49, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1209 = quantized_decomposed_dequantize_per_tensor_default_49 = None 2025-03-21T20:31:48.9738747Z quantized_decomposed_quantize_per_tensor_default_831: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_37, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_convolution_default_37 = None 2025-03-21T20:31:48.9738858Z 2025-03-21T20:31:48.9739352Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:48.9740680Z quantized_decomposed_dequantize_per_tensor_default_1210: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_831, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_831 = None 2025-03-21T20:31:48.9741588Z aten_permute_copy_default_210: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1210, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1210 = None 2025-03-21T20:31:48.9742669Z quantized_decomposed_quantize_per_tensor_default_832: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_210, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_210 = None 2025-03-21T20:31:48.9742770Z 2025-03-21T20:31:48.9743387Z # 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]) 2025-03-21T20:31:48.9744695Z quantized_decomposed_dequantize_per_tensor_default_1211: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_832, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_832 = None 2025-03-21T20:31:48.9745571Z aten_squeeze_copy_dims_57: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1211, [-1]); quantized_decomposed_dequantize_per_tensor_default_1211 = None 2025-03-21T20:31:48.9746660Z quantized_decomposed_quantize_per_tensor_default_833: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_57, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_squeeze_copy_dims_57 = None 2025-03-21T20:31:48.9746774Z 2025-03-21T20:31:48.9747366Z # 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) 2025-03-21T20:31:48.9748689Z quantized_decomposed_dequantize_per_tensor_default_1212: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_833, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_833 = None 2025-03-21T20:31:48.9748789Z 2025-03-21T20:31:48.9749367Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:48.9750275Z aten_view_copy_default_90: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1202, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1202 = None 2025-03-21T20:31:48.9751299Z quantized_decomposed_quantize_per_tensor_default_834: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_90, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_view_copy_default_90 = None 2025-03-21T20:31:48.9751434Z 2025-03-21T20:31:48.9752498Z # File: .50:3067 in forward, code: dequantize_per_tensor_default_988 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_988, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_988 = None 2025-03-21T20:31:48.9753931Z quantized_decomposed_dequantize_per_tensor_default_1213: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_834, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_834 = None 2025-03-21T20:31:48.9754030Z 2025-03-21T20:31:48.9754633Z # 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) 2025-03-21T20:31:48.9755499Z aten_view_copy_default_91: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1207, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1207 = None 2025-03-21T20:31:48.9756535Z quantized_decomposed_quantize_per_tensor_default_835: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_91, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_view_copy_default_91 = None 2025-03-21T20:31:48.9756631Z 2025-03-21T20:31:48.9757694Z # File: .50:3070 in forward, code: dequantize_per_tensor_default_989 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_989, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantize_per_tensor_default_989 = None 2025-03-21T20:31:48.9758999Z quantized_decomposed_dequantize_per_tensor_default_1214: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_835, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_835 = None 2025-03-21T20:31:48.9759111Z 2025-03-21T20:31:48.9759700Z # 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) 2025-03-21T20:31:48.9760628Z aten_view_copy_default_92: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1212, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1212 = None 2025-03-21T20:31:48.9761652Z quantized_decomposed_quantize_per_tensor_default_836: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_92, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_view_copy_default_92 = None 2025-03-21T20:31:48.9761762Z 2025-03-21T20:31:48.9762509Z # 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) 2025-03-21T20:31:48.9763824Z quantized_decomposed_dequantize_per_tensor_default_1215: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_836, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_836 = None 2025-03-21T20:31:48.9763948Z 2025-03-21T20:31:48.9764808Z # File: .50:3075 in forward, code: quantize_per_tensor_default_991 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_10, 0.0003648563288152218, 32914, 0, 65535, torch.int32); _to_copy_10 = None 2025-03-21T20:31:48.9766149Z quantized_decomposed_quantize_per_tensor_default_837: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1213, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1213 = None 2025-03-21T20:31:48.9766259Z 2025-03-21T20:31:48.9767037Z # 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) 2025-03-21T20:31:48.9768342Z quantized_decomposed_dequantize_per_tensor_default_1216: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_837, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_837 = None 2025-03-21T20:31:48.9769221Z aten_view_copy_default_93: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1216, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1216 = None 2025-03-21T20:31:48.9770265Z quantized_decomposed_quantize_per_tensor_default_838: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_93, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_view_copy_default_93 = None 2025-03-21T20:31:48.9771581Z quantized_decomposed_dequantize_per_tensor_default_1217: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_838, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_838 = None 2025-03-21T20:31:48.9772202Z aten_slice_copy_tensor_20: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1217, 4, 0, 1) 2025-03-21T20:31:48.9773059Z aten_slice_copy_tensor_21: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1217, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1217 = None 2025-03-21T20:31:48.9773720Z 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 2025-03-21T20:31:48.9774303Z 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 2025-03-21T20:31:48.9775345Z quantized_decomposed_quantize_per_tensor_default_839: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_58, 0.00027893035439774394, 29335, 0, 65535, torch.int32); aten_squeeze_copy_dims_58 = None 2025-03-21T20:31:48.9775446Z 2025-03-21T20:31:48.9775997Z # 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 2025-03-21T20:31:48.9777048Z quantized_decomposed_dequantize_per_tensor_default_1218: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_839, 0.00027893035439774394, 29335, 0, 65535, torch.int32) 2025-03-21T20:31:48.9777193Z 2025-03-21T20:31:48.9777721Z # 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 2025-03-21T20:31:48.9779051Z quantized_decomposed_dequantize_per_tensor_default_1219: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_839, 0.00027893035439774394, 29335, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_839 = None 2025-03-21T20:31:48.9779184Z 2025-03-21T20:31:48.9779809Z # 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) 2025-03-21T20:31:48.9780838Z quantized_decomposed_quantize_per_tensor_default_840: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_59, 0.0003648563288152218, 32914, 0, 65535, torch.int32); aten_squeeze_copy_dims_59 = None 2025-03-21T20:31:48.9780949Z 2025-03-21T20:31:48.9781479Z # 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 2025-03-21T20:31:48.9782543Z quantized_decomposed_dequantize_per_tensor_default_1220: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_840, 0.0003648563288152218, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:48.9782641Z 2025-03-21T20:31:48.9783171Z # 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 2025-03-21T20:31:48.9784500Z quantized_decomposed_dequantize_per_tensor_default_1221: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_840, 0.0003648563288152218, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_840 = None 2025-03-21T20:31:48.9784599Z 2025-03-21T20:31:48.9785459Z # File: .50:3090 in forward, code: quantize_per_tensor_default_995 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_11, 0.0004354633274488151, 30890, 0, 65535, torch.int32); _to_copy_11 = None 2025-03-21T20:31:48.9786763Z quantized_decomposed_quantize_per_tensor_default_841: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1214, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1214 = None 2025-03-21T20:31:48.9786912Z 2025-03-21T20:31:48.9787495Z # 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) 2025-03-21T20:31:48.9788822Z quantized_decomposed_dequantize_per_tensor_default_1222: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_841, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_841 = None 2025-03-21T20:31:48.9789708Z aten_view_copy_default_94: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1222, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1222 = None 2025-03-21T20:31:48.9790779Z quantized_decomposed_quantize_per_tensor_default_842: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_94, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_view_copy_default_94 = None 2025-03-21T20:31:48.9792101Z quantized_decomposed_dequantize_per_tensor_default_1223: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_842, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_842 = None 2025-03-21T20:31:48.9792753Z aten_slice_copy_tensor_22: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1223, 4, 0, 1) 2025-03-21T20:31:48.9793703Z aten_slice_copy_tensor_23: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1223, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1223 = None 2025-03-21T20:31:48.9794292Z 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 2025-03-21T20:31:48.9794890Z 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 2025-03-21T20:31:48.9795929Z quantized_decomposed_quantize_per_tensor_default_843: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_60, 0.00038958649383857846, 30696, 0, 65535, torch.int32); aten_squeeze_copy_dims_60 = None 2025-03-21T20:31:48.9796041Z 2025-03-21T20:31:48.9796576Z # 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 2025-03-21T20:31:48.9797625Z quantized_decomposed_dequantize_per_tensor_default_1224: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_843, 0.00038958649383857846, 30696, 0, 65535, torch.int32) 2025-03-21T20:31:48.9797731Z 2025-03-21T20:31:48.9798286Z # 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 2025-03-21T20:31:48.9799593Z quantized_decomposed_dequantize_per_tensor_default_1225: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_843, 0.00038958649383857846, 30696, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_843 = None 2025-03-21T20:31:48.9799706Z 2025-03-21T20:31:48.9800322Z # 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) 2025-03-21T20:31:48.9801362Z quantized_decomposed_quantize_per_tensor_default_844: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_61, 0.0004354633274488151, 30890, 0, 65535, torch.int32); aten_squeeze_copy_dims_61 = None 2025-03-21T20:31:48.9801463Z 2025-03-21T20:31:48.9802009Z # 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 2025-03-21T20:31:48.9803059Z quantized_decomposed_dequantize_per_tensor_default_1226: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_844, 0.0004354633274488151, 30890, 0, 65535, torch.int32) 2025-03-21T20:31:48.9803197Z 2025-03-21T20:31:48.9803726Z # 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 2025-03-21T20:31:48.9805038Z quantized_decomposed_dequantize_per_tensor_default_1227: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_844, 0.0004354633274488151, 30890, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_844 = None 2025-03-21T20:31:48.9805160Z 2025-03-21T20:31:48.9805667Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.9806564Z aten_view_copy_default_95: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_157, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_157 = None 2025-03-21T20:31:48.9807598Z quantized_decomposed_quantize_per_tensor_default_845: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_95, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_95 = None 2025-03-21T20:31:48.9807695Z 2025-03-21T20:31:48.9808228Z # 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 2025-03-21T20:31:48.9809288Z quantized_decomposed_dequantize_per_tensor_default_1228: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_845, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.9809385Z 2025-03-21T20:31:48.9809926Z # 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 2025-03-21T20:31:48.9810968Z quantized_decomposed_dequantize_per_tensor_default_1229: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_845, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.9811079Z 2025-03-21T20:31:48.9811606Z # 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 2025-03-21T20:31:48.9812654Z quantized_decomposed_dequantize_per_tensor_default_1230: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_845, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:48.9812751Z 2025-03-21T20:31:48.9813319Z # 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 2025-03-21T20:31:48.9814612Z quantized_decomposed_dequantize_per_tensor_default_1231: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_845, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_845 = None 2025-03-21T20:31:48.9814724Z 2025-03-21T20:31:48.9815215Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:48.9816086Z aten_view_copy_default_96: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_169, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_169 = None 2025-03-21T20:31:48.9817131Z quantized_decomposed_quantize_per_tensor_default_846: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_96, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_96 = None 2025-03-21T20:31:48.9817242Z 2025-03-21T20:31:48.9817777Z # 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 2025-03-21T20:31:48.9818908Z quantized_decomposed_dequantize_per_tensor_default_1232: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_846, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.9819042Z 2025-03-21T20:31:48.9824717Z # 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 2025-03-21T20:31:48.9825806Z quantized_decomposed_dequantize_per_tensor_default_1233: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_846, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.9825925Z 2025-03-21T20:31:48.9826467Z # 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 2025-03-21T20:31:48.9827533Z quantized_decomposed_dequantize_per_tensor_default_1234: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_846, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:48.9827635Z 2025-03-21T20:31:48.9828178Z # 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 2025-03-21T20:31:48.9829483Z quantized_decomposed_dequantize_per_tensor_default_1235: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_846, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_846 = None 2025-03-21T20:31:48.9829596Z 2025-03-21T20:31:48.9830124Z # 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 2025-03-21T20:31:48.9831436Z aten_mul_tensor_77: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1219, quantized_decomposed_dequantize_per_tensor_default_1231); quantized_decomposed_dequantize_per_tensor_default_1219 = quantized_decomposed_dequantize_per_tensor_default_1231 = None 2025-03-21T20:31:48.9832495Z quantized_decomposed_quantize_per_tensor_default_847: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_77, 0.0002772713196463883, 29395, 0, 65535, torch.int32); aten_mul_tensor_77 = None 2025-03-21T20:31:48.9833934Z quantized_decomposed_dequantize_per_tensor_default_1236: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_847, 0.0002772713196463883, 29395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_847 = None 2025-03-21T20:31:48.9835217Z aten_mul_tensor_78: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1220, quantized_decomposed_dequantize_per_tensor_default_1234); quantized_decomposed_dequantize_per_tensor_default_1220 = quantized_decomposed_dequantize_per_tensor_default_1234 = None 2025-03-21T20:31:48.9836252Z quantized_decomposed_quantize_per_tensor_default_848: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_78, 0.00015570834511891007, 31919, 0, 65535, torch.int32); aten_mul_tensor_78 = None 2025-03-21T20:31:48.9837575Z quantized_decomposed_dequantize_per_tensor_default_1237: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_848, 0.00015570834511891007, 31919, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_848 = None 2025-03-21T20:31:48.9838932Z aten_sub_tensor_10: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1236, quantized_decomposed_dequantize_per_tensor_default_1237); quantized_decomposed_dequantize_per_tensor_default_1236 = quantized_decomposed_dequantize_per_tensor_default_1237 = None 2025-03-21T20:31:48.9839907Z quantized_decomposed_quantize_per_tensor_default_849: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_10, 0.00027773523470386863, 29312, 0, 65535, torch.int32); aten_sub_tensor_10 = None 2025-03-21T20:31:48.9840019Z 2025-03-21T20:31:48.9841095Z # File: .50:3124 in forward, code: dequantize_per_tensor_default_1003 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1003, 0.00027773523470386863, 29312, 0, 65535, torch.int32); quantize_per_tensor_default_1003 = None 2025-03-21T20:31:48.9842422Z quantized_decomposed_dequantize_per_tensor_default_1238: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_849, 0.00027773523470386863, 29312, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_849 = None 2025-03-21T20:31:48.9842522Z 2025-03-21T20:31:48.9843071Z # 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 2025-03-21T20:31:48.9844363Z aten_mul_tensor_79: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1218, quantized_decomposed_dequantize_per_tensor_default_1235); quantized_decomposed_dequantize_per_tensor_default_1218 = quantized_decomposed_dequantize_per_tensor_default_1235 = None 2025-03-21T20:31:48.9845352Z quantized_decomposed_quantize_per_tensor_default_850: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_79, 0.00017529382603242993, 34419, 0, 65535, torch.int32); aten_mul_tensor_79 = None 2025-03-21T20:31:48.9846692Z quantized_decomposed_dequantize_per_tensor_default_1239: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_850, 0.00017529382603242993, 34419, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_850 = None 2025-03-21T20:31:48.9847986Z aten_mul_tensor_80: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1221, quantized_decomposed_dequantize_per_tensor_default_1230); quantized_decomposed_dequantize_per_tensor_default_1221 = quantized_decomposed_dequantize_per_tensor_default_1230 = None 2025-03-21T20:31:48.9848972Z quantized_decomposed_quantize_per_tensor_default_851: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_80, 0.0003621247597038746, 32927, 0, 65535, torch.int32); aten_mul_tensor_80 = None 2025-03-21T20:31:48.9850286Z quantized_decomposed_dequantize_per_tensor_default_1240: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_851, 0.0003621247597038746, 32927, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_851 = None 2025-03-21T20:31:48.9851590Z aten_add_tensor_25: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1239, quantized_decomposed_dequantize_per_tensor_default_1240); quantized_decomposed_dequantize_per_tensor_default_1239 = quantized_decomposed_dequantize_per_tensor_default_1240 = None 2025-03-21T20:31:48.9852606Z quantized_decomposed_quantize_per_tensor_default_852: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_25, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_add_tensor_25 = None 2025-03-21T20:31:48.9852719Z 2025-03-21T20:31:48.9853774Z # File: .50:3133 in forward, code: dequantize_per_tensor_default_1006 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1006, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantize_per_tensor_default_1006 = None 2025-03-21T20:31:48.9855086Z quantized_decomposed_dequantize_per_tensor_default_1241: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_852, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_852 = None 2025-03-21T20:31:48.9855185Z 2025-03-21T20:31:48.9855730Z # 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 2025-03-21T20:31:48.9857013Z aten_mul_tensor_81: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1225, quantized_decomposed_dequantize_per_tensor_default_1229); quantized_decomposed_dequantize_per_tensor_default_1225 = quantized_decomposed_dequantize_per_tensor_default_1229 = None 2025-03-21T20:31:48.9857992Z quantized_decomposed_quantize_per_tensor_default_853: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_81, 0.00038680178113281727, 30861, 0, 65535, torch.int32); aten_mul_tensor_81 = None 2025-03-21T20:31:48.9859300Z quantized_decomposed_dequantize_per_tensor_default_1242: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_853, 0.00038680178113281727, 30861, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_853 = None 2025-03-21T20:31:48.9860647Z aten_mul_tensor_82: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1226, quantized_decomposed_dequantize_per_tensor_default_1232); quantized_decomposed_dequantize_per_tensor_default_1226 = quantized_decomposed_dequantize_per_tensor_default_1232 = None 2025-03-21T20:31:48.9861615Z quantized_decomposed_quantize_per_tensor_default_854: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_82, 0.00020304229110479355, 35220, 0, 65535, torch.int32); aten_mul_tensor_82 = None 2025-03-21T20:31:48.9862938Z quantized_decomposed_dequantize_per_tensor_default_1243: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_854, 0.00020304229110479355, 35220, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_854 = None 2025-03-21T20:31:48.9864239Z aten_sub_tensor_11: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1242, quantized_decomposed_dequantize_per_tensor_default_1243); quantized_decomposed_dequantize_per_tensor_default_1242 = quantized_decomposed_dequantize_per_tensor_default_1243 = None 2025-03-21T20:31:48.9865211Z quantized_decomposed_quantize_per_tensor_default_855: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_11, 0.000387135281926021, 30644, 0, 65535, torch.int32); aten_sub_tensor_11 = None 2025-03-21T20:31:48.9865332Z 2025-03-21T20:31:48.9866424Z # File: .50:3142 in forward, code: dequantize_per_tensor_default_1009 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1009, 0.000387135281926021, 30644, 0, 65535, torch.int32); quantize_per_tensor_default_1009 = None 2025-03-21T20:31:48.9867925Z quantized_decomposed_dequantize_per_tensor_default_1244: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_855, 0.000387135281926021, 30644, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_855 = None 2025-03-21T20:31:48.9868023Z 2025-03-21T20:31:48.9868556Z # 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 2025-03-21T20:31:48.9869861Z aten_mul_tensor_83: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1224, quantized_decomposed_dequantize_per_tensor_default_1233); quantized_decomposed_dequantize_per_tensor_default_1224 = quantized_decomposed_dequantize_per_tensor_default_1233 = None 2025-03-21T20:31:48.9870841Z quantized_decomposed_quantize_per_tensor_default_856: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_83, 0.00019716918177437037, 32534, 0, 65535, torch.int32); aten_mul_tensor_83 = None 2025-03-21T20:31:48.9872161Z quantized_decomposed_dequantize_per_tensor_default_1245: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_856, 0.00019716918177437037, 32534, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_856 = None 2025-03-21T20:31:48.9873546Z aten_mul_tensor_84: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1227, quantized_decomposed_dequantize_per_tensor_default_1228); quantized_decomposed_dequantize_per_tensor_default_1227 = quantized_decomposed_dequantize_per_tensor_default_1228 = None 2025-03-21T20:31:48.9874593Z quantized_decomposed_quantize_per_tensor_default_857: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_84, 0.00042476155795156956, 31446, 0, 65535, torch.int32); aten_mul_tensor_84 = None 2025-03-21T20:31:48.9875902Z quantized_decomposed_dequantize_per_tensor_default_1246: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_857, 0.00042476155795156956, 31446, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_857 = None 2025-03-21T20:31:48.9877197Z aten_add_tensor_26: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1245, quantized_decomposed_dequantize_per_tensor_default_1246); quantized_decomposed_dequantize_per_tensor_default_1245 = quantized_decomposed_dequantize_per_tensor_default_1246 = None 2025-03-21T20:31:48.9878217Z quantized_decomposed_quantize_per_tensor_default_858: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_26, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_add_tensor_26 = None 2025-03-21T20:31:48.9878315Z 2025-03-21T20:31:48.9879385Z # File: .50:3151 in forward, code: dequantize_per_tensor_default_1012 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1012, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1012 = None 2025-03-21T20:31:48.9880756Z quantized_decomposed_dequantize_per_tensor_default_1247: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_858, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_858 = None 2025-03-21T20:31:48.9880871Z 2025-03-21T20:31:48.9881458Z # 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) 2025-03-21T20:31:48.9882384Z aten_unsqueeze_copy_default_58: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1238, 4); quantized_decomposed_dequantize_per_tensor_default_1238 = None 2025-03-21T20:31:48.9883283Z aten_unsqueeze_copy_default_59: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1241, 4); quantized_decomposed_dequantize_per_tensor_default_1241 = None 2025-03-21T20:31:48.9884131Z 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 2025-03-21T20:31:48.9885113Z quantized_decomposed_quantize_per_tensor_default_859: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_20, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_cat_default_20 = None 2025-03-21T20:31:48.9886431Z quantized_decomposed_dequantize_per_tensor_default_1248: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_859, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_859 = None 2025-03-21T20:31:48.9887301Z aten_view_copy_default_97: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1248, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1248 = None 2025-03-21T20:31:48.9888364Z quantized_decomposed_quantize_per_tensor_default_860: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_97, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_view_copy_default_97 = None 2025-03-21T20:31:48.9888463Z 2025-03-21T20:31:48.9889537Z # File: .50:3157 in forward, code: dequantize_per_tensor_default_1014 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1014, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantize_per_tensor_default_1014 = None 2025-03-21T20:31:48.9890842Z quantized_decomposed_dequantize_per_tensor_default_1249: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_860, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_860 = None 2025-03-21T20:31:48.9890981Z 2025-03-21T20:31:48.9891574Z # 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) 2025-03-21T20:31:48.9892495Z aten_unsqueeze_copy_default_60: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1244, 4); quantized_decomposed_dequantize_per_tensor_default_1244 = None 2025-03-21T20:31:48.9893422Z aten_unsqueeze_copy_default_61: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1247, 4); quantized_decomposed_dequantize_per_tensor_default_1247 = None 2025-03-21T20:31:48.9894290Z 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 2025-03-21T20:31:48.9895277Z quantized_decomposed_quantize_per_tensor_default_861: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_21, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_cat_default_21 = None 2025-03-21T20:31:48.9896602Z quantized_decomposed_dequantize_per_tensor_default_1250: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_861, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_861 = None 2025-03-21T20:31:48.9897467Z aten_view_copy_default_98: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1250, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1250 = None 2025-03-21T20:31:48.9898511Z quantized_decomposed_quantize_per_tensor_default_862: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_98, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_view_copy_default_98 = None 2025-03-21T20:31:48.9898607Z 2025-03-21T20:31:48.9899682Z # File: .50:3163 in forward, code: dequantize_per_tensor_default_1016 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1016, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1016 = None 2025-03-21T20:31:48.9900983Z quantized_decomposed_dequantize_per_tensor_default_1251: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_862, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_862 = None 2025-03-21T20:31:48.9901139Z 2025-03-21T20:31:48.9901986Z # File: .50:3165 in forward, code: quantize_per_tensor_default_1017 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_10, 0.0003545602085068822, 32712, 0, 65535, torch.int32); type_as_10 = None 2025-03-21T20:31:48.9903294Z quantized_decomposed_quantize_per_tensor_default_863: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1249, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1249 = None 2025-03-21T20:31:48.9903391Z 2025-03-21T20:31:48.9903996Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.9905325Z quantized_decomposed_dequantize_per_tensor_default_1252: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_863, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_863 = None 2025-03-21T20:31:48.9905435Z 2025-03-21T20:31:48.9906283Z # File: .50:3168 in forward, code: quantize_per_tensor_default_1018 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_11, 0.0004216498928144574, 32136, 0, 65535, torch.int32); type_as_11 = None 2025-03-21T20:31:48.9907654Z quantized_decomposed_quantize_per_tensor_default_864: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1251, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1251 = None 2025-03-21T20:31:48.9907752Z 2025-03-21T20:31:48.9908517Z # 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) 2025-03-21T20:31:48.9909820Z quantized_decomposed_dequantize_per_tensor_default_1253: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_864, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_864 = None 2025-03-21T20:31:48.9909931Z 2025-03-21T20:31:48.9910519Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:48.9911445Z aten_permute_copy_default_211: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1252, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1252 = None 2025-03-21T20:31:48.9912507Z quantized_decomposed_quantize_per_tensor_default_865: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_211, 0.0003545602085068822, 32712, 0, 65535, torch.int32); aten_permute_copy_default_211 = None 2025-03-21T20:31:48.9912617Z 2025-03-21T20:31:48.9913364Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:48.9914680Z quantized_decomposed_dequantize_per_tensor_default_1254: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_865, 0.0003545602085068822, 32712, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_865 = None 2025-03-21T20:31:48.9914806Z 2025-03-21T20:31:48.9915565Z # 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) 2025-03-21T20:31:48.9917034Z aten_index_put_default_10: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_128, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1253); quantized_decomposed_dequantize_per_tensor_default_128 = quantized_decomposed_dequantize_per_tensor_default_1253 = None 2025-03-21T20:31:48.9918086Z quantized_decomposed_quantize_per_tensor_default_866: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_10, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_index_put_default_10 = None 2025-03-21T20:31:48.9918208Z 2025-03-21T20:31:48.9919121Z # File: .50:3175 in forward, code: dequantize_per_tensor_default_1020 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1020, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9920170Z quantized_decomposed_dequantize_per_tensor_default_1255: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9920310Z 2025-03-21T20:31:48.9921047Z # 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) 2025-03-21T20:31:48.9922116Z quantized_decomposed_dequantize_per_tensor_default_1256: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9923164Z quantized_decomposed_dequantize_per_tensor_default_1257: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9924218Z quantized_decomposed_dequantize_per_tensor_default_1258: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9925260Z quantized_decomposed_dequantize_per_tensor_default_1259: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9926309Z quantized_decomposed_dequantize_per_tensor_default_1260: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9927348Z quantized_decomposed_dequantize_per_tensor_default_1261: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9928402Z quantized_decomposed_dequantize_per_tensor_default_1262: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9929473Z quantized_decomposed_dequantize_per_tensor_default_1263: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9930529Z quantized_decomposed_dequantize_per_tensor_default_1264: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9931577Z quantized_decomposed_dequantize_per_tensor_default_1265: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9932674Z quantized_decomposed_dequantize_per_tensor_default_1266: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32) 2025-03-21T20:31:48.9934003Z quantized_decomposed_dequantize_per_tensor_default_1267: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_866, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_866 = None 2025-03-21T20:31:48.9934124Z 2025-03-21T20:31:48.9934912Z # 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) 2025-03-21T20:31:48.9936385Z aten_index_put_default_11: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_129, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1215); quantized_decomposed_dequantize_per_tensor_default_129 = quantized_decomposed_dequantize_per_tensor_default_1215 = None 2025-03-21T20:31:48.9937421Z quantized_decomposed_quantize_per_tensor_default_867: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_11, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_index_put_default_11 = None 2025-03-21T20:31:48.9937520Z 2025-03-21T20:31:48.9938429Z # File: .50:3190 in forward, code: dequantize_per_tensor_default_1021 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1021, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9939482Z quantized_decomposed_dequantize_per_tensor_default_1268: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9939591Z 2025-03-21T20:31:48.9940311Z # 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) 2025-03-21T20:31:48.9941364Z quantized_decomposed_dequantize_per_tensor_default_1269: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9942449Z quantized_decomposed_dequantize_per_tensor_default_1270: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9943504Z quantized_decomposed_dequantize_per_tensor_default_1271: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9944559Z quantized_decomposed_dequantize_per_tensor_default_1272: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9945614Z quantized_decomposed_dequantize_per_tensor_default_1273: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9946681Z quantized_decomposed_dequantize_per_tensor_default_1274: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9947738Z quantized_decomposed_dequantize_per_tensor_default_1275: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9948836Z quantized_decomposed_dequantize_per_tensor_default_1276: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9949899Z quantized_decomposed_dequantize_per_tensor_default_1277: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9950943Z quantized_decomposed_dequantize_per_tensor_default_1278: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9952010Z quantized_decomposed_dequantize_per_tensor_default_1279: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32) 2025-03-21T20:31:48.9953422Z quantized_decomposed_dequantize_per_tensor_default_1280: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_867, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_867 = None 2025-03-21T20:31:48.9953533Z 2025-03-21T20:31:48.9954248Z # 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) 2025-03-21T20:31:48.9955177Z aten_permute_copy_default_212: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1267, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1267 = None 2025-03-21T20:31:48.9956280Z quantized_decomposed_quantize_per_tensor_default_868: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_212, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_212 = None 2025-03-21T20:31:48.9957601Z quantized_decomposed_dequantize_per_tensor_default_1281: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_868, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_868 = None 2025-03-21T20:31:48.9958451Z aten_select_copy_int_240: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1281, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1281 = None 2025-03-21T20:31:48.9959477Z quantized_decomposed_quantize_per_tensor_default_869: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_240, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_240 = None 2025-03-21T20:31:48.9960849Z quantized_decomposed_dequantize_per_tensor_default_1282: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_869, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_869 = None 2025-03-21T20:31:48.9961728Z aten_select_copy_int_241: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1282, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1282 = None 2025-03-21T20:31:48.9962783Z quantized_decomposed_quantize_per_tensor_default_870: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_241, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_241 = None 2025-03-21T20:31:48.9962881Z 2025-03-21T20:31:48.9963952Z # File: .50:3211 in forward, code: dequantize_per_tensor_default_1024 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1024, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1024 = None 2025-03-21T20:31:48.9965257Z quantized_decomposed_dequantize_per_tensor_default_1283: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_870, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_870 = None 2025-03-21T20:31:48.9965370Z 2025-03-21T20:31:48.9966095Z # 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) 2025-03-21T20:31:48.9967201Z aten_permute_copy_default_213: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1266, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1266 = None 2025-03-21T20:31:48.9968264Z quantized_decomposed_quantize_per_tensor_default_871: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_213, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_213 = None 2025-03-21T20:31:48.9969600Z quantized_decomposed_dequantize_per_tensor_default_1284: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_871, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_871 = None 2025-03-21T20:31:48.9970501Z aten_select_copy_int_242: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1284, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1284 = None 2025-03-21T20:31:48.9971529Z quantized_decomposed_quantize_per_tensor_default_872: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_242, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_242 = None 2025-03-21T20:31:48.9972849Z quantized_decomposed_dequantize_per_tensor_default_1285: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_872, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_872 = None 2025-03-21T20:31:48.9973704Z aten_select_copy_int_243: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1285, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1285 = None 2025-03-21T20:31:48.9974753Z quantized_decomposed_quantize_per_tensor_default_873: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_243, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_243 = None 2025-03-21T20:31:48.9974902Z 2025-03-21T20:31:48.9975955Z # File: .50:3220 in forward, code: dequantize_per_tensor_default_1027 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1027, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1027 = None 2025-03-21T20:31:48.9977314Z quantized_decomposed_dequantize_per_tensor_default_1286: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_873, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_873 = None 2025-03-21T20:31:48.9977418Z 2025-03-21T20:31:48.9978150Z # 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) 2025-03-21T20:31:48.9979063Z aten_permute_copy_default_214: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1265, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1265 = None 2025-03-21T20:31:48.9980141Z quantized_decomposed_quantize_per_tensor_default_874: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_214, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_214 = None 2025-03-21T20:31:48.9981455Z quantized_decomposed_dequantize_per_tensor_default_1287: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_874, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_874 = None 2025-03-21T20:31:48.9982309Z aten_select_copy_int_244: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1287, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1287 = None 2025-03-21T20:31:48.9983322Z quantized_decomposed_quantize_per_tensor_default_875: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_244, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_244 = None 2025-03-21T20:31:48.9984665Z quantized_decomposed_dequantize_per_tensor_default_1288: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_875, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_875 = None 2025-03-21T20:31:48.9985505Z aten_select_copy_int_245: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1288, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1288 = None 2025-03-21T20:31:48.9986533Z quantized_decomposed_quantize_per_tensor_default_876: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_245, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_245 = None 2025-03-21T20:31:48.9986630Z 2025-03-21T20:31:48.9987739Z # File: .50:3229 in forward, code: dequantize_per_tensor_default_1030 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1030, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1030 = None 2025-03-21T20:31:48.9989042Z quantized_decomposed_dequantize_per_tensor_default_1289: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_876, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_876 = None 2025-03-21T20:31:48.9989179Z 2025-03-21T20:31:48.9989900Z # 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) 2025-03-21T20:31:48.9990859Z aten_permute_copy_default_215: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1264, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1264 = None 2025-03-21T20:31:48.9991924Z quantized_decomposed_quantize_per_tensor_default_877: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_215, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_215 = None 2025-03-21T20:31:48.9993340Z quantized_decomposed_dequantize_per_tensor_default_1290: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_877, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_877 = None 2025-03-21T20:31:48.9994192Z aten_select_copy_int_246: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1290, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1290 = None 2025-03-21T20:31:48.9995210Z quantized_decomposed_quantize_per_tensor_default_878: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_246, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_246 = None 2025-03-21T20:31:48.9996532Z quantized_decomposed_dequantize_per_tensor_default_1291: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_878, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_878 = None 2025-03-21T20:31:48.9997373Z aten_select_copy_int_247: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1291, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1291 = None 2025-03-21T20:31:48.9998421Z quantized_decomposed_quantize_per_tensor_default_879: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_247, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_247 = None 2025-03-21T20:31:48.9998517Z 2025-03-21T20:31:48.9999582Z # File: .50:3238 in forward, code: dequantize_per_tensor_default_1033 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1033, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1033 = None 2025-03-21T20:31:49.0000882Z quantized_decomposed_dequantize_per_tensor_default_1292: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_879, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_879 = None 2025-03-21T20:31:49.0001024Z 2025-03-21T20:31:49.0001738Z # 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) 2025-03-21T20:31:49.0002662Z aten_permute_copy_default_216: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1263, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1263 = None 2025-03-21T20:31:49.0003767Z quantized_decomposed_quantize_per_tensor_default_880: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_216, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_216 = None 2025-03-21T20:31:49.0005079Z quantized_decomposed_dequantize_per_tensor_default_1293: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_880, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_880 = None 2025-03-21T20:31:49.0005917Z aten_select_copy_int_248: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1293, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1293 = None 2025-03-21T20:31:49.0006939Z quantized_decomposed_quantize_per_tensor_default_881: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_248, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_248 = None 2025-03-21T20:31:49.0008244Z quantized_decomposed_dequantize_per_tensor_default_1294: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_881, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_881 = None 2025-03-21T20:31:49.0009093Z aten_select_copy_int_249: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1294, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1294 = None 2025-03-21T20:31:49.0010108Z quantized_decomposed_quantize_per_tensor_default_882: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_249, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_249 = None 2025-03-21T20:31:49.0010217Z 2025-03-21T20:31:49.0011274Z # File: .50:3247 in forward, code: dequantize_per_tensor_default_1036 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1036, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1036 = None 2025-03-21T20:31:49.0012610Z quantized_decomposed_dequantize_per_tensor_default_1295: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_882, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_882 = None 2025-03-21T20:31:49.0012711Z 2025-03-21T20:31:49.0013439Z # 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) 2025-03-21T20:31:49.0014356Z aten_permute_copy_default_217: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1262, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1262 = None 2025-03-21T20:31:49.0015485Z quantized_decomposed_quantize_per_tensor_default_883: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_217, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_217 = None 2025-03-21T20:31:49.0016802Z quantized_decomposed_dequantize_per_tensor_default_1296: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_883, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_883 = None 2025-03-21T20:31:49.0017704Z aten_select_copy_int_250: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1296, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1296 = None 2025-03-21T20:31:49.0018716Z quantized_decomposed_quantize_per_tensor_default_884: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_250, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_250 = None 2025-03-21T20:31:49.0020031Z quantized_decomposed_dequantize_per_tensor_default_1297: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_884, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_884 = None 2025-03-21T20:31:49.0020875Z aten_select_copy_int_251: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1297, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1297 = None 2025-03-21T20:31:49.0021908Z quantized_decomposed_quantize_per_tensor_default_885: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_251, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_251 = None 2025-03-21T20:31:49.0022007Z 2025-03-21T20:31:49.0023075Z # File: .50:3256 in forward, code: dequantize_per_tensor_default_1039 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1039, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1039 = None 2025-03-21T20:31:49.0024397Z quantized_decomposed_dequantize_per_tensor_default_1298: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_885, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_885 = None 2025-03-21T20:31:49.0024495Z 2025-03-21T20:31:49.0025236Z # 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) 2025-03-21T20:31:49.0026166Z aten_permute_copy_default_218: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1261, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1261 = None 2025-03-21T20:31:49.0027237Z quantized_decomposed_quantize_per_tensor_default_886: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_218, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_218 = None 2025-03-21T20:31:49.0028557Z quantized_decomposed_dequantize_per_tensor_default_1299: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_886, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_886 = None 2025-03-21T20:31:49.0029439Z aten_select_copy_int_252: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1299, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1299 = None 2025-03-21T20:31:49.0030454Z quantized_decomposed_quantize_per_tensor_default_887: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_252, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_252 = None 2025-03-21T20:31:49.0031820Z quantized_decomposed_dequantize_per_tensor_default_1300: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_887, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_887 = None 2025-03-21T20:31:49.0032666Z aten_select_copy_int_253: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1300, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1300 = None 2025-03-21T20:31:49.0033782Z quantized_decomposed_quantize_per_tensor_default_888: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_253, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_253 = None 2025-03-21T20:31:49.0033882Z 2025-03-21T20:31:49.0034951Z # File: .50:3265 in forward, code: dequantize_per_tensor_default_1042 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1042, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1042 = None 2025-03-21T20:31:49.0036255Z quantized_decomposed_dequantize_per_tensor_default_1301: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_888, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_888 = None 2025-03-21T20:31:49.0036367Z 2025-03-21T20:31:49.0037082Z # 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) 2025-03-21T20:31:49.0038015Z aten_permute_copy_default_219: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1260, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1260 = None 2025-03-21T20:31:49.0039109Z quantized_decomposed_quantize_per_tensor_default_889: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_219, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_219 = None 2025-03-21T20:31:49.0040436Z quantized_decomposed_dequantize_per_tensor_default_1302: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_889, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_889 = None 2025-03-21T20:31:49.0041282Z aten_select_copy_int_254: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1302, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1302 = None 2025-03-21T20:31:49.0042322Z quantized_decomposed_quantize_per_tensor_default_890: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_254, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_254 = None 2025-03-21T20:31:49.0043654Z quantized_decomposed_dequantize_per_tensor_default_1303: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_890, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_890 = None 2025-03-21T20:31:49.0044530Z aten_select_copy_int_255: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1303, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1303 = None 2025-03-21T20:31:49.0045558Z quantized_decomposed_quantize_per_tensor_default_891: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_255, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_255 = None 2025-03-21T20:31:49.0045673Z 2025-03-21T20:31:49.0046731Z # File: .50:3274 in forward, code: dequantize_per_tensor_default_1045 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1045, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1045 = None 2025-03-21T20:31:49.0048046Z quantized_decomposed_dequantize_per_tensor_default_1304: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_891, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_891 = None 2025-03-21T20:31:49.0048144Z 2025-03-21T20:31:49.0048879Z # 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) 2025-03-21T20:31:49.0049793Z aten_permute_copy_default_220: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1259, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1259 = None 2025-03-21T20:31:49.0050946Z quantized_decomposed_quantize_per_tensor_default_892: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_220, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_220 = None 2025-03-21T20:31:49.0052254Z quantized_decomposed_dequantize_per_tensor_default_1305: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_892, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_892 = None 2025-03-21T20:31:49.0053140Z aten_select_copy_int_256: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1305, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1305 = None 2025-03-21T20:31:49.0054150Z quantized_decomposed_quantize_per_tensor_default_893: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_256, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_256 = None 2025-03-21T20:31:49.0055479Z quantized_decomposed_dequantize_per_tensor_default_1306: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_893, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_893 = None 2025-03-21T20:31:49.0056355Z aten_select_copy_int_257: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1306, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1306 = None 2025-03-21T20:31:49.0057361Z quantized_decomposed_quantize_per_tensor_default_894: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_257, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_257 = None 2025-03-21T20:31:49.0057496Z 2025-03-21T20:31:49.0058578Z # File: .50:3283 in forward, code: dequantize_per_tensor_default_1048 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1048, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1048 = None 2025-03-21T20:31:49.0059889Z quantized_decomposed_dequantize_per_tensor_default_1307: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_894, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_894 = None 2025-03-21T20:31:49.0059987Z 2025-03-21T20:31:49.0060697Z # 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) 2025-03-21T20:31:49.0061624Z aten_permute_copy_default_221: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1258, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1258 = None 2025-03-21T20:31:49.0062705Z quantized_decomposed_quantize_per_tensor_default_895: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_221, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_221 = None 2025-03-21T20:31:49.0064017Z quantized_decomposed_dequantize_per_tensor_default_1308: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_895, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_895 = None 2025-03-21T20:31:49.0064878Z aten_select_copy_int_258: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1308, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1308 = None 2025-03-21T20:31:49.0065896Z quantized_decomposed_quantize_per_tensor_default_896: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_258, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_258 = None 2025-03-21T20:31:49.0067439Z quantized_decomposed_dequantize_per_tensor_default_1309: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_896, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_896 = None 2025-03-21T20:31:49.0068279Z aten_select_copy_int_259: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1309, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1309 = None 2025-03-21T20:31:49.0069315Z quantized_decomposed_quantize_per_tensor_default_897: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_259, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_259 = None 2025-03-21T20:31:49.0069446Z 2025-03-21T20:31:49.0070523Z # File: .50:3292 in forward, code: dequantize_per_tensor_default_1051 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1051, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1051 = None 2025-03-21T20:31:49.0071840Z quantized_decomposed_dequantize_per_tensor_default_1310: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_897, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_897 = None 2025-03-21T20:31:49.0071984Z 2025-03-21T20:31:49.0072732Z # 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) 2025-03-21T20:31:49.0073756Z aten_permute_copy_default_222: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1257, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1257 = None 2025-03-21T20:31:49.0074828Z quantized_decomposed_quantize_per_tensor_default_898: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_222, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_222 = None 2025-03-21T20:31:49.0076152Z quantized_decomposed_dequantize_per_tensor_default_1311: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_898, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_898 = None 2025-03-21T20:31:49.0076996Z aten_select_copy_int_260: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1311, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1311 = None 2025-03-21T20:31:49.0078031Z quantized_decomposed_quantize_per_tensor_default_899: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_260, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_260 = None 2025-03-21T20:31:49.0079341Z quantized_decomposed_dequantize_per_tensor_default_1312: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_899, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_899 = None 2025-03-21T20:31:49.0080198Z aten_select_copy_int_261: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1312, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1312 = None 2025-03-21T20:31:49.0081244Z quantized_decomposed_quantize_per_tensor_default_900: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_261, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_261 = None 2025-03-21T20:31:49.0081355Z 2025-03-21T20:31:49.0082410Z # File: .50:3301 in forward, code: dequantize_per_tensor_default_1054 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1054, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1054 = None 2025-03-21T20:31:49.0083725Z quantized_decomposed_dequantize_per_tensor_default_1313: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_900, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_900 = None 2025-03-21T20:31:49.0083849Z 2025-03-21T20:31:49.0084577Z # 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) 2025-03-21T20:31:49.0085493Z aten_permute_copy_default_223: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1256, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1256 = None 2025-03-21T20:31:49.0086621Z quantized_decomposed_quantize_per_tensor_default_901: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_223, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_223 = None 2025-03-21T20:31:49.0087938Z quantized_decomposed_dequantize_per_tensor_default_1314: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_901, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_901 = None 2025-03-21T20:31:49.0088790Z aten_select_copy_int_262: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1314, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1314 = None 2025-03-21T20:31:49.0089824Z quantized_decomposed_quantize_per_tensor_default_902: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_262, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_262 = None 2025-03-21T20:31:49.0091132Z quantized_decomposed_dequantize_per_tensor_default_1315: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_902, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_902 = None 2025-03-21T20:31:49.0091981Z aten_select_copy_int_263: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1315, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1315 = None 2025-03-21T20:31:49.0092992Z quantized_decomposed_quantize_per_tensor_default_903: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_263, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_select_copy_int_263 = None 2025-03-21T20:31:49.0093103Z 2025-03-21T20:31:49.0094189Z # File: .50:3310 in forward, code: dequantize_per_tensor_default_1057 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1057, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1057 = None 2025-03-21T20:31:49.0095510Z quantized_decomposed_dequantize_per_tensor_default_1316: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_903, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_903 = None 2025-03-21T20:31:49.0095610Z 2025-03-21T20:31:49.0096339Z # 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) 2025-03-21T20:31:49.0102687Z aten_cat_default_22: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1283, quantized_decomposed_dequantize_per_tensor_default_1286, quantized_decomposed_dequantize_per_tensor_default_1289, quantized_decomposed_dequantize_per_tensor_default_1292, quantized_decomposed_dequantize_per_tensor_default_1295, quantized_decomposed_dequantize_per_tensor_default_1298, quantized_decomposed_dequantize_per_tensor_default_1301, quantized_decomposed_dequantize_per_tensor_default_1304, quantized_decomposed_dequantize_per_tensor_default_1307, quantized_decomposed_dequantize_per_tensor_default_1310, quantized_decomposed_dequantize_per_tensor_default_1313, quantized_decomposed_dequantize_per_tensor_default_1316]); quantized_decomposed_dequantize_per_tensor_default_1283 = quantized_decomposed_dequantize_per_tensor_default_1286 = quantized_decomposed_dequantize_per_tensor_default_1289 = quantized_decomposed_dequantize_per_tensor_default_1292 = quantized_decomposed_dequantize_per_tensor_default_1295 = quantized_decomposed_dequantize_per_tensor_default_1298 = quantized_decomposed_dequantize_per_tensor_default_1301 = quantized_decomposed_dequantize_per_tensor_default_1304 = quantized_decomposed_dequantize_per_tensor_default_1307 = quantized_decomposed_dequantize_per_tensor_default_1310 = quantized_decomposed_dequantize_per_tensor_default_1313 = quantized_decomposed_dequantize_per_tensor_default_1316 = None 2025-03-21T20:31:49.0103741Z quantized_decomposed_quantize_per_tensor_default_904: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_22, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_cat_default_22 = None 2025-03-21T20:31:49.0105080Z quantized_decomposed_dequantize_per_tensor_default_1317: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_904, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_904 = None 2025-03-21T20:31:49.0105965Z aten_view_copy_default_99: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1317, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1317 = None 2025-03-21T20:31:49.0107012Z quantized_decomposed_quantize_per_tensor_default_905: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_99, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_view_copy_default_99 = None 2025-03-21T20:31:49.0107112Z 2025-03-21T20:31:49.0107780Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.0109113Z quantized_decomposed_dequantize_per_tensor_default_1318: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_905, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_905 = None 2025-03-21T20:31:49.0109229Z 2025-03-21T20:31:49.0109942Z # 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) 2025-03-21T20:31:49.0110873Z aten_permute_copy_default_224: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1280, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1280 = None 2025-03-21T20:31:49.0111938Z quantized_decomposed_quantize_per_tensor_default_906: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_224, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_224 = None 2025-03-21T20:31:49.0113365Z quantized_decomposed_dequantize_per_tensor_default_1319: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_906, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_906 = None 2025-03-21T20:31:49.0114204Z aten_select_copy_int_264: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1319, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1319 = None 2025-03-21T20:31:49.0115297Z quantized_decomposed_quantize_per_tensor_default_907: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_264, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_264 = None 2025-03-21T20:31:49.0116609Z quantized_decomposed_dequantize_per_tensor_default_1320: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_907, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_907 = None 2025-03-21T20:31:49.0117462Z aten_select_copy_int_265: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1320, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1320 = None 2025-03-21T20:31:49.0118479Z quantized_decomposed_quantize_per_tensor_default_908: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_265, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_265 = None 2025-03-21T20:31:49.0118592Z 2025-03-21T20:31:49.0119652Z # File: .50:3325 in forward, code: dequantize_per_tensor_default_1062 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1062, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1062 = None 2025-03-21T20:31:49.0120979Z quantized_decomposed_dequantize_per_tensor_default_1321: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_908, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_908 = None 2025-03-21T20:31:49.0121079Z 2025-03-21T20:31:49.0121813Z # 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) 2025-03-21T20:31:49.0122725Z aten_permute_copy_default_225: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1279, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1279 = None 2025-03-21T20:31:49.0123851Z quantized_decomposed_quantize_per_tensor_default_909: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_225, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_225 = None 2025-03-21T20:31:49.0125172Z quantized_decomposed_dequantize_per_tensor_default_1322: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_909, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_909 = None 2025-03-21T20:31:49.0126030Z aten_select_copy_int_266: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1322, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1322 = None 2025-03-21T20:31:49.0127302Z quantized_decomposed_quantize_per_tensor_default_910: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_266, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_266 = None 2025-03-21T20:31:49.0128624Z quantized_decomposed_dequantize_per_tensor_default_1323: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_910, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_910 = None 2025-03-21T20:31:49.0129557Z aten_select_copy_int_267: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1323, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1323 = None 2025-03-21T20:31:49.0130587Z quantized_decomposed_quantize_per_tensor_default_911: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_267, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_267 = None 2025-03-21T20:31:49.0130698Z 2025-03-21T20:31:49.0131760Z # File: .50:3334 in forward, code: dequantize_per_tensor_default_1065 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1065, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1065 = None 2025-03-21T20:31:49.0133078Z quantized_decomposed_dequantize_per_tensor_default_1324: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_911, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_911 = None 2025-03-21T20:31:49.0133178Z 2025-03-21T20:31:49.0133918Z # 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) 2025-03-21T20:31:49.0134834Z aten_permute_copy_default_226: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1278, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1278 = None 2025-03-21T20:31:49.0135920Z quantized_decomposed_quantize_per_tensor_default_912: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_226, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_226 = None 2025-03-21T20:31:49.0137263Z quantized_decomposed_dequantize_per_tensor_default_1325: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_912, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_912 = None 2025-03-21T20:31:49.0138126Z aten_select_copy_int_268: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1325, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1325 = None 2025-03-21T20:31:49.0139145Z quantized_decomposed_quantize_per_tensor_default_913: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_268, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_268 = None 2025-03-21T20:31:49.0140473Z quantized_decomposed_dequantize_per_tensor_default_1326: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_913, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_913 = None 2025-03-21T20:31:49.0141335Z aten_select_copy_int_269: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1326, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1326 = None 2025-03-21T20:31:49.0142382Z quantized_decomposed_quantize_per_tensor_default_914: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_269, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_269 = None 2025-03-21T20:31:49.0142482Z 2025-03-21T20:31:49.0143578Z # File: .50:3343 in forward, code: dequantize_per_tensor_default_1068 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1068, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1068 = None 2025-03-21T20:31:49.0144883Z quantized_decomposed_dequantize_per_tensor_default_1327: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_914, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_914 = None 2025-03-21T20:31:49.0144993Z 2025-03-21T20:31:49.0145715Z # 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) 2025-03-21T20:31:49.0146652Z aten_permute_copy_default_227: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1277, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1277 = None 2025-03-21T20:31:49.0147733Z quantized_decomposed_quantize_per_tensor_default_915: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_227, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_227 = None 2025-03-21T20:31:49.0149062Z quantized_decomposed_dequantize_per_tensor_default_1328: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_915, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_915 = None 2025-03-21T20:31:49.0149909Z aten_select_copy_int_270: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1328, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1328 = None 2025-03-21T20:31:49.0150968Z quantized_decomposed_quantize_per_tensor_default_916: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_270, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_270 = None 2025-03-21T20:31:49.0152275Z quantized_decomposed_dequantize_per_tensor_default_1329: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_916, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_916 = None 2025-03-21T20:31:49.0153203Z aten_select_copy_int_271: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1329, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1329 = None 2025-03-21T20:31:49.0154235Z quantized_decomposed_quantize_per_tensor_default_917: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_271, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_271 = None 2025-03-21T20:31:49.0154361Z 2025-03-21T20:31:49.0155410Z # File: .50:3352 in forward, code: dequantize_per_tensor_default_1071 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1071, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1071 = None 2025-03-21T20:31:49.0156765Z quantized_decomposed_dequantize_per_tensor_default_1330: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_917, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_917 = None 2025-03-21T20:31:49.0156860Z 2025-03-21T20:31:49.0157601Z # 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) 2025-03-21T20:31:49.0158509Z aten_permute_copy_default_228: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1276, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1276 = None 2025-03-21T20:31:49.0159593Z quantized_decomposed_quantize_per_tensor_default_918: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_228, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_228 = None 2025-03-21T20:31:49.0160929Z quantized_decomposed_dequantize_per_tensor_default_1331: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_918, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_918 = None 2025-03-21T20:31:49.0161769Z aten_select_copy_int_272: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1331, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1331 = None 2025-03-21T20:31:49.0162799Z quantized_decomposed_quantize_per_tensor_default_919: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_272, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_272 = None 2025-03-21T20:31:49.0164103Z quantized_decomposed_dequantize_per_tensor_default_1332: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_919, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_919 = None 2025-03-21T20:31:49.0164973Z aten_select_copy_int_273: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1332, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1332 = None 2025-03-21T20:31:49.0165983Z quantized_decomposed_quantize_per_tensor_default_920: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_273, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_273 = None 2025-03-21T20:31:49.0166094Z 2025-03-21T20:31:49.0167510Z # File: .50:3361 in forward, code: dequantize_per_tensor_default_1074 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1074, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1074 = None 2025-03-21T20:31:49.0168900Z quantized_decomposed_dequantize_per_tensor_default_1333: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_920, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_920 = None 2025-03-21T20:31:49.0168996Z 2025-03-21T20:31:49.0169730Z # 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) 2025-03-21T20:31:49.0170693Z aten_permute_copy_default_229: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1275, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1275 = None 2025-03-21T20:31:49.0171800Z quantized_decomposed_quantize_per_tensor_default_921: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_229, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_229 = None 2025-03-21T20:31:49.0173109Z quantized_decomposed_dequantize_per_tensor_default_1334: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_921, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_921 = None 2025-03-21T20:31:49.0173965Z aten_select_copy_int_274: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1334, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1334 = None 2025-03-21T20:31:49.0174973Z quantized_decomposed_quantize_per_tensor_default_922: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_274, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_274 = None 2025-03-21T20:31:49.0176275Z quantized_decomposed_dequantize_per_tensor_default_1335: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_922, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_922 = None 2025-03-21T20:31:49.0177111Z aten_select_copy_int_275: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1335, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1335 = None 2025-03-21T20:31:49.0178143Z quantized_decomposed_quantize_per_tensor_default_923: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_275, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_275 = None 2025-03-21T20:31:49.0178240Z 2025-03-21T20:31:49.0179369Z # File: .50:3370 in forward, code: dequantize_per_tensor_default_1077 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1077, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1077 = None 2025-03-21T20:31:49.0180666Z quantized_decomposed_dequantize_per_tensor_default_1336: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_923, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_923 = None 2025-03-21T20:31:49.0180775Z 2025-03-21T20:31:49.0181493Z # 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) 2025-03-21T20:31:49.0182455Z aten_permute_copy_default_230: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1274, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1274 = None 2025-03-21T20:31:49.0183523Z quantized_decomposed_quantize_per_tensor_default_924: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_230, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_230 = None 2025-03-21T20:31:49.0184888Z quantized_decomposed_dequantize_per_tensor_default_1337: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_924, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_924 = None 2025-03-21T20:31:49.0185741Z aten_select_copy_int_276: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1337, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1337 = None 2025-03-21T20:31:49.0186774Z quantized_decomposed_quantize_per_tensor_default_925: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_276, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_276 = None 2025-03-21T20:31:49.0188097Z quantized_decomposed_dequantize_per_tensor_default_1338: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_925, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_925 = None 2025-03-21T20:31:49.0188937Z aten_select_copy_int_277: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1338, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1338 = None 2025-03-21T20:31:49.0189952Z quantized_decomposed_quantize_per_tensor_default_926: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_277, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_277 = None 2025-03-21T20:31:49.0190051Z 2025-03-21T20:31:49.0191116Z # File: .50:3379 in forward, code: dequantize_per_tensor_default_1080 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1080, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1080 = None 2025-03-21T20:31:49.0192447Z quantized_decomposed_dequantize_per_tensor_default_1339: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_926, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_926 = None 2025-03-21T20:31:49.0194152Z 2025-03-21T20:31:49.0195031Z # 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) 2025-03-21T20:31:49.0196803Z aten_permute_copy_default_231: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1273, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1273 = None 2025-03-21T20:31:49.0198927Z quantized_decomposed_quantize_per_tensor_default_927: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_231, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_231 = None 2025-03-21T20:31:49.0201484Z quantized_decomposed_dequantize_per_tensor_default_1340: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_927, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_927 = None 2025-03-21T20:31:49.0203799Z aten_select_copy_int_278: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1340, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1340 = None 2025-03-21T20:31:49.0205850Z quantized_decomposed_quantize_per_tensor_default_928: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_278, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_278 = None 2025-03-21T20:31:49.0208335Z quantized_decomposed_dequantize_per_tensor_default_1341: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_928, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_928 = None 2025-03-21T20:31:49.0210599Z aten_select_copy_int_279: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1341, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1341 = None 2025-03-21T20:31:49.0212578Z quantized_decomposed_quantize_per_tensor_default_929: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_279, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_279 = None 2025-03-21T20:31:49.0213821Z 2025-03-21T20:31:49.0215030Z # File: .50:3388 in forward, code: dequantize_per_tensor_default_1083 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1083, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1083 = None 2025-03-21T20:31:49.0217527Z quantized_decomposed_dequantize_per_tensor_default_1342: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_929, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_929 = None 2025-03-21T20:31:49.0219042Z 2025-03-21T20:31:49.0219917Z # 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) 2025-03-21T20:31:49.0221706Z aten_permute_copy_default_232: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1272, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1272 = None 2025-03-21T20:31:49.0223818Z quantized_decomposed_quantize_per_tensor_default_930: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_232, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_232 = None 2025-03-21T20:31:49.0226324Z quantized_decomposed_dequantize_per_tensor_default_1343: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_930, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_930 = None 2025-03-21T20:31:49.0228614Z aten_select_copy_int_280: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1343, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1343 = None 2025-03-21T20:31:49.0230661Z quantized_decomposed_quantize_per_tensor_default_931: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_280, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_280 = None 2025-03-21T20:31:49.0233229Z quantized_decomposed_dequantize_per_tensor_default_1344: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_931, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_931 = None 2025-03-21T20:31:49.0235527Z aten_select_copy_int_281: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1344, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1344 = None 2025-03-21T20:31:49.0237510Z quantized_decomposed_quantize_per_tensor_default_932: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_281, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_281 = None 2025-03-21T20:31:49.0238921Z 2025-03-21T20:31:49.0240141Z # File: .50:3397 in forward, code: dequantize_per_tensor_default_1086 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1086, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1086 = None 2025-03-21T20:31:49.0242643Z quantized_decomposed_dequantize_per_tensor_default_1345: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_932, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_932 = None 2025-03-21T20:31:49.0244187Z 2025-03-21T20:31:49.0245062Z # 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) 2025-03-21T20:31:49.0246844Z aten_permute_copy_default_233: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1271, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1271 = None 2025-03-21T20:31:49.0248968Z quantized_decomposed_quantize_per_tensor_default_933: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_233, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_233 = None 2025-03-21T20:31:49.0251533Z quantized_decomposed_dequantize_per_tensor_default_1346: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_933, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_933 = None 2025-03-21T20:31:49.0253826Z aten_select_copy_int_282: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1346, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1346 = None 2025-03-21T20:31:49.0255831Z quantized_decomposed_quantize_per_tensor_default_934: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_282, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_282 = None 2025-03-21T20:31:49.0258268Z quantized_decomposed_dequantize_per_tensor_default_1347: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_934, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_934 = None 2025-03-21T20:31:49.0260586Z aten_select_copy_int_283: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1347, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1347 = None 2025-03-21T20:31:49.0262602Z quantized_decomposed_quantize_per_tensor_default_935: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_283, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_283 = None 2025-03-21T20:31:49.0263848Z 2025-03-21T20:31:49.0265081Z # File: .50:3406 in forward, code: dequantize_per_tensor_default_1089 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1089, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1089 = None 2025-03-21T20:31:49.0267765Z quantized_decomposed_dequantize_per_tensor_default_1348: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_935, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_935 = None 2025-03-21T20:31:49.0269305Z 2025-03-21T20:31:49.0270186Z # 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) 2025-03-21T20:31:49.0271957Z aten_permute_copy_default_234: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1270, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1270 = None 2025-03-21T20:31:49.0274159Z quantized_decomposed_quantize_per_tensor_default_936: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_234, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_234 = None 2025-03-21T20:31:49.0276681Z quantized_decomposed_dequantize_per_tensor_default_1349: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_936, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_936 = None 2025-03-21T20:31:49.0278954Z aten_select_copy_int_284: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1349, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1349 = None 2025-03-21T20:31:49.0281014Z quantized_decomposed_quantize_per_tensor_default_937: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_284, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_284 = None 2025-03-21T20:31:49.0283465Z quantized_decomposed_dequantize_per_tensor_default_1350: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_937, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_937 = None 2025-03-21T20:31:49.0285748Z aten_select_copy_int_285: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1350, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1350 = None 2025-03-21T20:31:49.0287772Z quantized_decomposed_quantize_per_tensor_default_938: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_285, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_285 = None 2025-03-21T20:31:49.0289018Z 2025-03-21T20:31:49.0290236Z # File: .50:3415 in forward, code: dequantize_per_tensor_default_1092 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1092, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1092 = None 2025-03-21T20:31:49.0292823Z quantized_decomposed_dequantize_per_tensor_default_1351: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_938, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_938 = None 2025-03-21T20:31:49.0294333Z 2025-03-21T20:31:49.0295207Z # 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) 2025-03-21T20:31:49.0296974Z aten_permute_copy_default_235: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1269, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1269 = None 2025-03-21T20:31:49.0299098Z quantized_decomposed_quantize_per_tensor_default_939: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_235, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_permute_copy_default_235 = None 2025-03-21T20:31:49.0301625Z quantized_decomposed_dequantize_per_tensor_default_1352: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_939, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_939 = None 2025-03-21T20:31:49.0303920Z aten_select_copy_int_286: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1352, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1352 = None 2025-03-21T20:31:49.0305927Z quantized_decomposed_quantize_per_tensor_default_940: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_286, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_286 = None 2025-03-21T20:31:49.0308428Z quantized_decomposed_dequantize_per_tensor_default_1353: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_940, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_940 = None 2025-03-21T20:31:49.0310728Z aten_select_copy_int_287: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1353, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1353 = None 2025-03-21T20:31:49.0312727Z quantized_decomposed_quantize_per_tensor_default_941: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_287, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_select_copy_int_287 = None 2025-03-21T20:31:49.0314075Z 2025-03-21T20:31:49.0315313Z # File: .50:3424 in forward, code: dequantize_per_tensor_default_1095 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1095, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1095 = None 2025-03-21T20:31:49.0317876Z quantized_decomposed_dequantize_per_tensor_default_1354: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_941, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_941 = None 2025-03-21T20:31:49.0319427Z 2025-03-21T20:31:49.0320356Z # 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) 2025-03-21T20:31:49.0327610Z aten_cat_default_23: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1321, quantized_decomposed_dequantize_per_tensor_default_1324, quantized_decomposed_dequantize_per_tensor_default_1327, quantized_decomposed_dequantize_per_tensor_default_1330, quantized_decomposed_dequantize_per_tensor_default_1333, quantized_decomposed_dequantize_per_tensor_default_1336, quantized_decomposed_dequantize_per_tensor_default_1339, quantized_decomposed_dequantize_per_tensor_default_1342, quantized_decomposed_dequantize_per_tensor_default_1345, quantized_decomposed_dequantize_per_tensor_default_1348, quantized_decomposed_dequantize_per_tensor_default_1351, quantized_decomposed_dequantize_per_tensor_default_1354]); quantized_decomposed_dequantize_per_tensor_default_1321 = quantized_decomposed_dequantize_per_tensor_default_1324 = quantized_decomposed_dequantize_per_tensor_default_1327 = quantized_decomposed_dequantize_per_tensor_default_1330 = quantized_decomposed_dequantize_per_tensor_default_1333 = quantized_decomposed_dequantize_per_tensor_default_1336 = quantized_decomposed_dequantize_per_tensor_default_1339 = quantized_decomposed_dequantize_per_tensor_default_1342 = quantized_decomposed_dequantize_per_tensor_default_1345 = quantized_decomposed_dequantize_per_tensor_default_1348 = quantized_decomposed_dequantize_per_tensor_default_1351 = quantized_decomposed_dequantize_per_tensor_default_1354 = None 2025-03-21T20:31:49.0335302Z quantized_decomposed_quantize_per_tensor_default_942: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_23, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_cat_default_23 = None 2025-03-21T20:31:49.0337744Z quantized_decomposed_dequantize_per_tensor_default_1355: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_942, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_942 = None 2025-03-21T20:31:49.0340080Z aten_view_copy_default_100: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1355, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1355 = None 2025-03-21T20:31:49.0342184Z quantized_decomposed_quantize_per_tensor_default_943: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_100, 0.0001254916423931718, 28364, 0, 65535, torch.int32); aten_view_copy_default_100 = None 2025-03-21T20:31:49.0343451Z 2025-03-21T20:31:49.0344668Z # File: .50:3430 in forward, code: dequantize_per_tensor_default_1097 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1097, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantize_per_tensor_default_1097 = None 2025-03-21T20:31:49.0347177Z quantized_decomposed_dequantize_per_tensor_default_1356: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_943, 0.0001254916423931718, 28364, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_943 = None 2025-03-21T20:31:49.0348740Z 2025-03-21T20:31:49.0349965Z # File: .50:3431 in forward, code: quantize_per_tensor_default_1098 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1097, 0.00014235699200071394, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1097 = None 2025-03-21T20:31:49.0352499Z quantized_decomposed_quantize_per_tensor_default_944: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1356, 0.00014235699200071394, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1356 = None 2025-03-21T20:31:49.0354228Z 2025-03-21T20:31:49.0354903Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.0356869Z quantized_decomposed_dequantize_per_tensor_default_1357: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_944, 0.00014235699200071394, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_944 = None 2025-03-21T20:31:49.0358422Z 2025-03-21T20:31:49.0359133Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:49.0360719Z aten_index_tensor_7: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_130, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_130 = None 2025-03-21T20:31:49.0362721Z quantized_decomposed_quantize_per_tensor_default_945: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_7, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_7 = None 2025-03-21T20:31:49.0363932Z 2025-03-21T20:31:49.0364622Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.0366821Z quantized_decomposed_dequantize_per_tensor_default_1358: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_945, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_945 = None 2025-03-21T20:31:49.0368362Z 2025-03-21T20:31:49.0369169Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.0370981Z aten_permute_copy_default_236: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1318, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1318 = None 2025-03-21T20:31:49.0373106Z quantized_decomposed_quantize_per_tensor_default_946: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_236, 0.0004216498928144574, 32136, 0, 65535, torch.int32); aten_permute_copy_default_236 = None 2025-03-21T20:31:49.0374416Z 2025-03-21T20:31:49.0375626Z # File: .50:3438 in forward, code: dequantize_per_tensor_default_1100 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1100, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantize_per_tensor_default_1100 = None 2025-03-21T20:31:49.0378194Z quantized_decomposed_dequantize_per_tensor_default_1359: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_946, 0.0004216498928144574, 32136, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_946 = None 2025-03-21T20:31:49.0379734Z 2025-03-21T20:31:49.0380945Z # File: .50:3439 in forward, code: quantize_per_tensor_default_1101 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1100, 0.00042978691635653377, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1100 = None 2025-03-21T20:31:49.0383534Z quantized_decomposed_quantize_per_tensor_default_947: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1359, 0.00042978691635653377, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1359 = None 2025-03-21T20:31:49.0385077Z 2025-03-21T20:31:49.0385880Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.0387985Z quantized_decomposed_dequantize_per_tensor_default_1360: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_947, 0.00042978691635653377, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_947 = None 2025-03-21T20:31:49.0390326Z aten_expand_copy_default_20: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1254, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1254 = None 2025-03-21T20:31:49.0391982Z 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 2025-03-21T20:31:49.0393715Z aten_expand_copy_default_21: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1360, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1360 = None 2025-03-21T20:31:49.0395384Z 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 2025-03-21T20:31:49.0396920Z 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 2025-03-21T20:31:49.0398383Z 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 2025-03-21T20:31:49.0400178Z quantized_decomposed_quantize_per_tensor_default_948: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_103, 0.0038201091811060905, 40308, 0, 65535, torch.int32); aten_view_copy_default_103 = None 2025-03-21T20:31:49.0402660Z quantized_decomposed_dequantize_per_tensor_default_1361: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_948, 0.0038201091811060905, 40308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_948 = None 2025-03-21T20:31:49.0405077Z quantized_decomposed_dequantize_per_tensor_default_1362: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param154, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param154 = None 2025-03-21T20:31:49.0407506Z aten_mul_tensor_85: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1361, quantized_decomposed_dequantize_per_tensor_default_1362); quantized_decomposed_dequantize_per_tensor_default_1361 = quantized_decomposed_dequantize_per_tensor_default_1362 = None 2025-03-21T20:31:49.0409920Z quantized_decomposed_quantize_per_tensor_default_949: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_85, 0.0004775136476382613, 40308, 0, 65535, torch.int32); aten_mul_tensor_85 = None 2025-03-21T20:31:49.0411121Z 2025-03-21T20:31:49.0411844Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.0413835Z quantized_decomposed_dequantize_per_tensor_default_1363: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_949, 0.0004775136476382613, 40308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_949 = None 2025-03-21T20:31:49.0416576Z aten_add_tensor_27: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1363, quantized_decomposed_dequantize_per_tensor_default_1358); quantized_decomposed_dequantize_per_tensor_default_1363 = quantized_decomposed_dequantize_per_tensor_default_1358 = None 2025-03-21T20:31:49.0418982Z quantized_decomposed_quantize_per_tensor_default_950: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_27, 0.004275546874850988, 62718, 0, 65535, torch.int32); aten_add_tensor_27 = None 2025-03-21T20:31:49.0420183Z 2025-03-21T20:31:49.0420981Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:49.0423057Z quantized_decomposed_dequantize_per_tensor_default_1364: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_950, 0.004275546874850988, 62718, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_950 = None 2025-03-21T20:31:49.0425381Z aten__softmax_default_5: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1364, -1, False); quantized_decomposed_dequantize_per_tensor_default_1364 = None 2025-03-21T20:31:49.0427436Z quantized_decomposed_quantize_per_tensor_default_951: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_5, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_5 = None 2025-03-21T20:31:49.0428653Z 2025-03-21T20:31:49.0429325Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.0431253Z quantized_decomposed_dequantize_per_tensor_default_1365: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_951, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_951 = None 2025-03-21T20:31:49.0433652Z aten_expand_copy_default_22: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1365, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1365 = None 2025-03-21T20:31:49.0435345Z 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 2025-03-21T20:31:49.0437014Z aten_expand_copy_default_23: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1357, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1357 = None 2025-03-21T20:31:49.0438713Z 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 2025-03-21T20:31:49.0440245Z 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 2025-03-21T20:31:49.0441675Z 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 2025-03-21T20:31:49.0443413Z quantized_decomposed_quantize_per_tensor_default_952: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_106, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_view_copy_default_106 = None 2025-03-21T20:31:49.0444676Z 2025-03-21T20:31:49.0445534Z # 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) 2025-03-21T20:31:49.0447661Z quantized_decomposed_dequantize_per_tensor_default_1366: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_952, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_952 = None 2025-03-21T20:31:49.0449989Z aten_permute_copy_default_237: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1366, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1366 = None 2025-03-21T20:31:49.0452074Z quantized_decomposed_quantize_per_tensor_default_953: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_237, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_permute_copy_default_237 = None 2025-03-21T20:31:49.0454550Z quantized_decomposed_dequantize_per_tensor_default_1367: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_953, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_953 = None 2025-03-21T20:31:49.0456868Z aten_view_copy_default_107: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1367, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1367 = None 2025-03-21T20:31:49.0458903Z quantized_decomposed_quantize_per_tensor_default_954: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_107, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_view_copy_default_107 = None 2025-03-21T20:31:49.0460159Z 2025-03-21T20:31:49.0460902Z # 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) 2025-03-21T20:31:49.0462919Z quantized_decomposed_dequantize_per_tensor_default_1368: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_954, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_954 = None 2025-03-21T20:31:49.0465290Z aten_unsqueeze_copy_default_62: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1368, -1); quantized_decomposed_dequantize_per_tensor_default_1368 = None 2025-03-21T20:31:49.0467613Z quantized_decomposed_quantize_per_tensor_default_955: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_62, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_unsqueeze_copy_default_62 = None 2025-03-21T20:31:49.0468983Z 2025-03-21T20:31:49.0469590Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.0471482Z quantized_decomposed_dequantize_per_tensor_default_1369: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_955, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_955 = None 2025-03-21T20:31:49.0473888Z aten_permute_copy_default_238: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1369, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1369 = None 2025-03-21T20:31:49.0475991Z quantized_decomposed_quantize_per_tensor_default_956: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_238, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); aten_permute_copy_default_238 = None 2025-03-21T20:31:49.0477287Z 2025-03-21T20:31:49.0477845Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.0479697Z quantized_decomposed_dequantize_per_tensor_default_1370: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_956, 7.123954856069759e-05, 34216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_956 = None 2025-03-21T20:31:49.0482588Z aten_convolution_default_38: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1370, quantized_decomposed_dequantize_per_tensor_default_50, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1370 = quantized_decomposed_dequantize_per_tensor_default_50 = None 2025-03-21T20:31:49.0485238Z quantized_decomposed_quantize_per_tensor_default_957: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_38, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); aten_convolution_default_38 = None 2025-03-21T20:31:49.0486505Z 2025-03-21T20:31:49.0487137Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.0489035Z quantized_decomposed_dequantize_per_tensor_default_1371: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_957, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_957 = None 2025-03-21T20:31:49.0491368Z aten_permute_copy_default_239: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1371, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1371 = None 2025-03-21T20:31:49.0493478Z quantized_decomposed_quantize_per_tensor_default_958: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_239, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); aten_permute_copy_default_239 = None 2025-03-21T20:31:49.0494789Z 2025-03-21T20:31:49.0495540Z # 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]) 2025-03-21T20:31:49.0497596Z quantized_decomposed_dequantize_per_tensor_default_1372: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_958, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_958 = None 2025-03-21T20:31:49.0499879Z aten_squeeze_copy_dims_62: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1372, [-1]); quantized_decomposed_dequantize_per_tensor_default_1372 = None 2025-03-21T20:31:49.0501897Z quantized_decomposed_quantize_per_tensor_default_959: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_62, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); aten_squeeze_copy_dims_62 = None 2025-03-21T20:31:49.0503148Z 2025-03-21T20:31:49.0503702Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.0505540Z quantized_decomposed_dequantize_per_tensor_default_1373: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_959, 4.46785670646932e-05, 25383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_959 = None 2025-03-21T20:31:49.0508252Z aten_add_tensor_28: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1193, quantized_decomposed_dequantize_per_tensor_default_1373); quantized_decomposed_dequantize_per_tensor_default_1193 = quantized_decomposed_dequantize_per_tensor_default_1373 = None 2025-03-21T20:31:49.0510634Z quantized_decomposed_quantize_per_tensor_default_960: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_28, 0.0026234339457005262, 6156, 0, 65535, torch.int32); aten_add_tensor_28 = None 2025-03-21T20:31:49.0511827Z 2025-03-21T20:31:49.0512550Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.0514441Z quantized_decomposed_dequantize_per_tensor_default_1374: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_960, 0.0026234339457005262, 6156, 0, 65535, torch.int32) 2025-03-21T20:31:49.0516907Z quantized_decomposed_dequantize_per_tensor_default_1375: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_960, 0.0026234339457005262, 6156, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_960 = None 2025-03-21T20:31:49.0518912Z aten_pow_tensor_scalar_11: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1375, 2) 2025-03-21T20:31:49.0520151Z 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 2025-03-21T20:31:49.0521330Z 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 2025-03-21T20:31:49.0522445Z 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 2025-03-21T20:31:49.0524059Z aten_mul_tensor_86: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1375, aten_rsqrt_default_11); quantized_decomposed_dequantize_per_tensor_default_1375 = aten_rsqrt_default_11 = None 2025-03-21T20:31:49.0526119Z aten_mul_tensor_87: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_86, quantized_decomposed_dequantize_per_tensor_default_51); aten_mul_tensor_86 = quantized_decomposed_dequantize_per_tensor_default_51 = None 2025-03-21T20:31:49.0528126Z quantized_decomposed_quantize_per_tensor_default_961: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_87, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_mul_tensor_87 = None 2025-03-21T20:31:49.0529321Z 2025-03-21T20:31:49.0530062Z # 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) 2025-03-21T20:31:49.0531835Z quantized_decomposed_dequantize_per_tensor_default_1376: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_961, 0.0003379492845851928, 19066, 0, 65535, torch.int32) 2025-03-21T20:31:49.0534336Z quantized_decomposed_dequantize_per_tensor_default_1377: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_961, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_961 = None 2025-03-21T20:31:49.0536679Z aten_unsqueeze_copy_default_63: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1377, -1); quantized_decomposed_dequantize_per_tensor_default_1377 = None 2025-03-21T20:31:49.0538791Z quantized_decomposed_quantize_per_tensor_default_962: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_63, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_unsqueeze_copy_default_63 = None 2025-03-21T20:31:49.0540083Z 2025-03-21T20:31:49.0540694Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.0542636Z quantized_decomposed_dequantize_per_tensor_default_1378: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_962, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_962 = None 2025-03-21T20:31:49.0544976Z aten_permute_copy_default_240: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1378, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1378 = None 2025-03-21T20:31:49.0547080Z quantized_decomposed_quantize_per_tensor_default_963: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_240, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_permute_copy_default_240 = None 2025-03-21T20:31:49.0548395Z 2025-03-21T20:31:49.0548946Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.0550802Z quantized_decomposed_dequantize_per_tensor_default_1379: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_963, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_963 = None 2025-03-21T20:31:49.0553871Z aten_convolution_default_39: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1379, quantized_decomposed_dequantize_per_tensor_default_52, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1379 = quantized_decomposed_dequantize_per_tensor_default_52 = None 2025-03-21T20:31:49.0556539Z quantized_decomposed_quantize_per_tensor_default_964: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_39, 0.00017915855278261006, 28370, 0, 65535, torch.int32); aten_convolution_default_39 = None 2025-03-21T20:31:49.0557839Z 2025-03-21T20:31:49.0558471Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.0560404Z quantized_decomposed_dequantize_per_tensor_default_1380: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_964, 0.00017915855278261006, 28370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_964 = None 2025-03-21T20:31:49.0562778Z aten_permute_copy_default_241: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1380, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1380 = None 2025-03-21T20:31:49.0564899Z quantized_decomposed_quantize_per_tensor_default_965: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_241, 0.00017915855278261006, 28370, 0, 65535, torch.int32); aten_permute_copy_default_241 = None 2025-03-21T20:31:49.0566209Z 2025-03-21T20:31:49.0567158Z # 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]) 2025-03-21T20:31:49.0569212Z quantized_decomposed_dequantize_per_tensor_default_1381: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_965, 0.00017915855278261006, 28370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_965 = None 2025-03-21T20:31:49.0571583Z aten_squeeze_copy_dims_63: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1381, [-1]); quantized_decomposed_dequantize_per_tensor_default_1381 = None 2025-03-21T20:31:49.0573626Z quantized_decomposed_quantize_per_tensor_default_966: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_63, 0.00017915855278261006, 28370, 0, 65535, torch.int32); aten_squeeze_copy_dims_63 = None 2025-03-21T20:31:49.0574889Z 2025-03-21T20:31:49.0575608Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.0577382Z quantized_decomposed_dequantize_per_tensor_default_1382: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_966, 0.00017915855278261006, 28370, 0, 65535, torch.int32) 2025-03-21T20:31:49.0579933Z quantized_decomposed_dequantize_per_tensor_default_1383: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_966, 0.00017915855278261006, 28370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_966 = None 2025-03-21T20:31:49.0582266Z aten_sigmoid_default_5: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1383); quantized_decomposed_dequantize_per_tensor_default_1383 = None 2025-03-21T20:31:49.0584250Z quantized_decomposed_quantize_per_tensor_default_967: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_5, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_5 = None 2025-03-21T20:31:49.0586615Z quantized_decomposed_dequantize_per_tensor_default_1384: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_967, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_967 = None 2025-03-21T20:31:49.0589298Z aten_mul_tensor_88: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1382, quantized_decomposed_dequantize_per_tensor_default_1384); quantized_decomposed_dequantize_per_tensor_default_1382 = quantized_decomposed_dequantize_per_tensor_default_1384 = None 2025-03-21T20:31:49.0591689Z quantized_decomposed_quantize_per_tensor_default_968: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_88, 0.00010571902384981513, 2634, 0, 65535, torch.int32); aten_mul_tensor_88 = None 2025-03-21T20:31:49.0594178Z quantized_decomposed_dequantize_per_tensor_default_1385: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_968, 0.00010571902384981513, 2634, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_968 = None 2025-03-21T20:31:49.0595701Z 2025-03-21T20:31:49.0596430Z # 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) 2025-03-21T20:31:49.0598061Z aten_unsqueeze_copy_default_64: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1376, -1); quantized_decomposed_dequantize_per_tensor_default_1376 = None 2025-03-21T20:31:49.0600206Z quantized_decomposed_quantize_per_tensor_default_969: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_64, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_unsqueeze_copy_default_64 = None 2025-03-21T20:31:49.0601507Z 2025-03-21T20:31:49.0602117Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.0603990Z quantized_decomposed_dequantize_per_tensor_default_1386: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_969, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_969 = None 2025-03-21T20:31:49.0606336Z aten_permute_copy_default_242: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1386, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1386 = None 2025-03-21T20:31:49.0608464Z quantized_decomposed_quantize_per_tensor_default_970: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_242, 0.0003379492845851928, 19066, 0, 65535, torch.int32); aten_permute_copy_default_242 = None 2025-03-21T20:31:49.0609752Z 2025-03-21T20:31:49.0610312Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.0612263Z quantized_decomposed_dequantize_per_tensor_default_1387: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_970, 0.0003379492845851928, 19066, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_970 = None 2025-03-21T20:31:49.0615177Z aten_convolution_default_40: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1387, quantized_decomposed_dequantize_per_tensor_default_53, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1387 = quantized_decomposed_dequantize_per_tensor_default_53 = None 2025-03-21T20:31:49.0617824Z quantized_decomposed_quantize_per_tensor_default_971: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_40, 0.0002466057485435158, 42095, 0, 65535, torch.int32); aten_convolution_default_40 = None 2025-03-21T20:31:49.0619109Z 2025-03-21T20:31:49.0619732Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.0621647Z quantized_decomposed_dequantize_per_tensor_default_1388: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_971, 0.0002466057485435158, 42095, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_971 = None 2025-03-21T20:31:49.0624007Z aten_permute_copy_default_243: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1388, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1388 = None 2025-03-21T20:31:49.0626118Z quantized_decomposed_quantize_per_tensor_default_972: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_243, 0.0002466057485435158, 42095, 0, 65535, torch.int32); aten_permute_copy_default_243 = None 2025-03-21T20:31:49.0627415Z 2025-03-21T20:31:49.0628172Z # 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]) 2025-03-21T20:31:49.0630238Z quantized_decomposed_dequantize_per_tensor_default_1389: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_972, 0.0002466057485435158, 42095, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_972 = None 2025-03-21T20:31:49.0632541Z aten_squeeze_copy_dims_64: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1389, [-1]); quantized_decomposed_dequantize_per_tensor_default_1389 = None 2025-03-21T20:31:49.0634671Z quantized_decomposed_quantize_per_tensor_default_973: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_64, 0.0002466057485435158, 42095, 0, 65535, torch.int32); aten_squeeze_copy_dims_64 = None 2025-03-21T20:31:49.0635962Z 2025-03-21T20:31:49.0636696Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.0638714Z quantized_decomposed_dequantize_per_tensor_default_1390: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_973, 0.0002466057485435158, 42095, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_973 = None 2025-03-21T20:31:49.0641497Z aten_mul_tensor_89: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1385, quantized_decomposed_dequantize_per_tensor_default_1390); quantized_decomposed_dequantize_per_tensor_default_1385 = quantized_decomposed_dequantize_per_tensor_default_1390 = None 2025-03-21T20:31:49.0643892Z quantized_decomposed_quantize_per_tensor_default_974: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_89, 0.0003100545145571232, 27801, 0, 65535, torch.int32); aten_mul_tensor_89 = None 2025-03-21T20:31:49.0645087Z 2025-03-21T20:31:49.0645814Z # 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) 2025-03-21T20:31:49.0647848Z quantized_decomposed_dequantize_per_tensor_default_1391: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_974, 0.0003100545145571232, 27801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_974 = None 2025-03-21T20:31:49.0650201Z aten_unsqueeze_copy_default_65: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1391, -1); quantized_decomposed_dequantize_per_tensor_default_1391 = None 2025-03-21T20:31:49.0652336Z quantized_decomposed_quantize_per_tensor_default_975: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_65, 0.0003100545145571232, 27801, 0, 65535, torch.int32); aten_unsqueeze_copy_default_65 = None 2025-03-21T20:31:49.0653638Z 2025-03-21T20:31:49.0654233Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.0656127Z quantized_decomposed_dequantize_per_tensor_default_1392: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_975, 0.0003100545145571232, 27801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_975 = None 2025-03-21T20:31:49.0658511Z aten_permute_copy_default_244: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1392, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1392 = None 2025-03-21T20:31:49.0660617Z quantized_decomposed_quantize_per_tensor_default_976: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_244, 0.0003100545145571232, 27801, 0, 65535, torch.int32); aten_permute_copy_default_244 = None 2025-03-21T20:31:49.0661915Z 2025-03-21T20:31:49.0662475Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.0664333Z quantized_decomposed_dequantize_per_tensor_default_1393: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_976, 0.0003100545145571232, 27801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_976 = None 2025-03-21T20:31:49.0667426Z aten_convolution_default_41: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1393, quantized_decomposed_dequantize_per_tensor_default_54, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1393 = quantized_decomposed_dequantize_per_tensor_default_54 = None 2025-03-21T20:31:49.0670133Z quantized_decomposed_quantize_per_tensor_default_977: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_41, 0.00021493309759534895, 11862, 0, 65535, torch.int32); aten_convolution_default_41 = None 2025-03-21T20:31:49.0671465Z 2025-03-21T20:31:49.0672098Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.0674087Z quantized_decomposed_dequantize_per_tensor_default_1394: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_977, 0.00021493309759534895, 11862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_977 = None 2025-03-21T20:31:49.0676433Z aten_permute_copy_default_245: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1394, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1394 = None 2025-03-21T20:31:49.0678525Z quantized_decomposed_quantize_per_tensor_default_978: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_245, 0.00021493309759534895, 11862, 0, 65535, torch.int32); aten_permute_copy_default_245 = None 2025-03-21T20:31:49.0679808Z 2025-03-21T20:31:49.0680548Z # 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]) 2025-03-21T20:31:49.0682586Z quantized_decomposed_dequantize_per_tensor_default_1395: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_978, 0.00021493309759534895, 11862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_978 = None 2025-03-21T20:31:49.0684882Z aten_squeeze_copy_dims_65: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1395, [-1]); quantized_decomposed_dequantize_per_tensor_default_1395 = None 2025-03-21T20:31:49.0686959Z quantized_decomposed_quantize_per_tensor_default_979: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_65, 0.00021493309759534895, 11862, 0, 65535, torch.int32); aten_squeeze_copy_dims_65 = None 2025-03-21T20:31:49.0688217Z 2025-03-21T20:31:49.0688943Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.0690968Z quantized_decomposed_dequantize_per_tensor_default_1396: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_979, 0.00021493309759534895, 11862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_979 = None 2025-03-21T20:31:49.0693691Z aten_add_tensor_29: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1374, quantized_decomposed_dequantize_per_tensor_default_1396); quantized_decomposed_dequantize_per_tensor_default_1374 = quantized_decomposed_dequantize_per_tensor_default_1396 = None 2025-03-21T20:31:49.0696136Z quantized_decomposed_quantize_per_tensor_default_980: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_29, 0.002668527187779546, 5953, 0, 65535, torch.int32); aten_add_tensor_29 = None 2025-03-21T20:31:49.0697340Z 2025-03-21T20:31:49.0697908Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.0699529Z quantized_decomposed_dequantize_per_tensor_default_1397: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_980, 0.002668527187779546, 5953, 0, 65535, torch.int32) 2025-03-21T20:31:49.0700821Z 2025-03-21T20:31:49.0701596Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:49.0703659Z quantized_decomposed_dequantize_per_tensor_default_1398: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_980, 0.002668527187779546, 5953, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_980 = None 2025-03-21T20:31:49.0705670Z aten_pow_tensor_scalar_12: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1398, 2) 2025-03-21T20:31:49.0706904Z 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 2025-03-21T20:31:49.0708056Z 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 2025-03-21T20:31:49.0709171Z 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 2025-03-21T20:31:49.0710748Z aten_mul_tensor_90: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1398, aten_rsqrt_default_12); quantized_decomposed_dequantize_per_tensor_default_1398 = aten_rsqrt_default_12 = None 2025-03-21T20:31:49.0712752Z aten_mul_tensor_91: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_90, quantized_decomposed_dequantize_per_tensor_default_55); aten_mul_tensor_90 = quantized_decomposed_dequantize_per_tensor_default_55 = None 2025-03-21T20:31:49.0714875Z quantized_decomposed_quantize_per_tensor_default_981: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_91, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_mul_tensor_91 = None 2025-03-21T20:31:49.0716081Z 2025-03-21T20:31:49.0716819Z # 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) 2025-03-21T20:31:49.0718583Z quantized_decomposed_dequantize_per_tensor_default_1399: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_981, 0.0004216353117953986, 31504, 0, 65535, torch.int32) 2025-03-21T20:31:49.0720814Z quantized_decomposed_dequantize_per_tensor_default_1400: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_981, 0.0004216353117953986, 31504, 0, 65535, torch.int32) 2025-03-21T20:31:49.0723320Z quantized_decomposed_dequantize_per_tensor_default_1401: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_981, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_981 = None 2025-03-21T20:31:49.0725668Z aten_unsqueeze_copy_default_66: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1401, -1); quantized_decomposed_dequantize_per_tensor_default_1401 = None 2025-03-21T20:31:49.0727835Z quantized_decomposed_quantize_per_tensor_default_982: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_66, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_unsqueeze_copy_default_66 = None 2025-03-21T20:31:49.0729139Z 2025-03-21T20:31:49.0736446Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.0738474Z quantized_decomposed_dequantize_per_tensor_default_1402: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_982, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_982 = None 2025-03-21T20:31:49.0740840Z aten_permute_copy_default_246: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1402, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1402 = None 2025-03-21T20:31:49.0742948Z quantized_decomposed_quantize_per_tensor_default_983: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_246, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_permute_copy_default_246 = None 2025-03-21T20:31:49.0744247Z 2025-03-21T20:31:49.0744822Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.0746683Z quantized_decomposed_dequantize_per_tensor_default_1403: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_983, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_983 = None 2025-03-21T20:31:49.0749584Z aten_convolution_default_42: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1403, quantized_decomposed_dequantize_per_tensor_default_56, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1403 = quantized_decomposed_dequantize_per_tensor_default_56 = None 2025-03-21T20:31:49.0752370Z quantized_decomposed_quantize_per_tensor_default_984: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_42, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_convolution_default_42 = None 2025-03-21T20:31:49.0753798Z 2025-03-21T20:31:49.0754426Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.0756332Z quantized_decomposed_dequantize_per_tensor_default_1404: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_984, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_984 = None 2025-03-21T20:31:49.0758721Z aten_permute_copy_default_247: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1404, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1404 = None 2025-03-21T20:31:49.0760829Z quantized_decomposed_quantize_per_tensor_default_985: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_247, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_permute_copy_default_247 = None 2025-03-21T20:31:49.0762168Z 2025-03-21T20:31:49.0762932Z # 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]) 2025-03-21T20:31:49.0765007Z quantized_decomposed_dequantize_per_tensor_default_1405: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_985, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_985 = None 2025-03-21T20:31:49.0767546Z aten_squeeze_copy_dims_66: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1405, [-1]); quantized_decomposed_dequantize_per_tensor_default_1405 = None 2025-03-21T20:31:49.0769567Z quantized_decomposed_quantize_per_tensor_default_986: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_66, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_squeeze_copy_dims_66 = None 2025-03-21T20:31:49.0770818Z 2025-03-21T20:31:49.0771558Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.0773586Z quantized_decomposed_dequantize_per_tensor_default_1406: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_986, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_986 = None 2025-03-21T20:31:49.0775112Z 2025-03-21T20:31:49.0775834Z # 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) 2025-03-21T20:31:49.0777470Z aten_unsqueeze_copy_default_67: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1400, -1); quantized_decomposed_dequantize_per_tensor_default_1400 = None 2025-03-21T20:31:49.0779592Z quantized_decomposed_quantize_per_tensor_default_987: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_67, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_unsqueeze_copy_default_67 = None 2025-03-21T20:31:49.0780978Z 2025-03-21T20:31:49.0781591Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.0783477Z quantized_decomposed_dequantize_per_tensor_default_1407: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_987, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_987 = None 2025-03-21T20:31:49.0785827Z aten_permute_copy_default_248: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1407, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1407 = None 2025-03-21T20:31:49.0787980Z quantized_decomposed_quantize_per_tensor_default_988: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_248, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_permute_copy_default_248 = None 2025-03-21T20:31:49.0789261Z 2025-03-21T20:31:49.0789825Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.0791730Z quantized_decomposed_dequantize_per_tensor_default_1408: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_988, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_988 = None 2025-03-21T20:31:49.0794744Z aten_convolution_default_43: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1408, quantized_decomposed_dequantize_per_tensor_default_57, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1408 = quantized_decomposed_dequantize_per_tensor_default_57 = None 2025-03-21T20:31:49.0797376Z quantized_decomposed_quantize_per_tensor_default_989: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_43, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_convolution_default_43 = None 2025-03-21T20:31:49.0798669Z 2025-03-21T20:31:49.0799280Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.0801182Z quantized_decomposed_dequantize_per_tensor_default_1409: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_989, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_989 = None 2025-03-21T20:31:49.0803534Z aten_permute_copy_default_249: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1409, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1409 = None 2025-03-21T20:31:49.0805629Z quantized_decomposed_quantize_per_tensor_default_990: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_249, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_permute_copy_default_249 = None 2025-03-21T20:31:49.0806915Z 2025-03-21T20:31:49.0807669Z # 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]) 2025-03-21T20:31:49.0809757Z quantized_decomposed_dequantize_per_tensor_default_1410: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_990, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_990 = None 2025-03-21T20:31:49.0812040Z aten_squeeze_copy_dims_67: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1410, [-1]); quantized_decomposed_dequantize_per_tensor_default_1410 = None 2025-03-21T20:31:49.0814057Z quantized_decomposed_quantize_per_tensor_default_991: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_67, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_squeeze_copy_dims_67 = None 2025-03-21T20:31:49.0815304Z 2025-03-21T20:31:49.0816081Z # 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) 2025-03-21T20:31:49.0818113Z quantized_decomposed_dequantize_per_tensor_default_1411: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_991, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_991 = None 2025-03-21T20:31:49.0819665Z 2025-03-21T20:31:49.0820381Z # 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) 2025-03-21T20:31:49.0822072Z aten_unsqueeze_copy_default_68: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1399, -1); quantized_decomposed_dequantize_per_tensor_default_1399 = None 2025-03-21T20:31:49.0824187Z quantized_decomposed_quantize_per_tensor_default_992: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_68, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_unsqueeze_copy_default_68 = None 2025-03-21T20:31:49.0825487Z 2025-03-21T20:31:49.0826090Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.0827992Z quantized_decomposed_dequantize_per_tensor_default_1412: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_992, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_992 = None 2025-03-21T20:31:49.0830337Z aten_permute_copy_default_250: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1412, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1412 = None 2025-03-21T20:31:49.0832438Z quantized_decomposed_quantize_per_tensor_default_993: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_250, 0.0004216353117953986, 31504, 0, 65535, torch.int32); aten_permute_copy_default_250 = None 2025-03-21T20:31:49.0833842Z 2025-03-21T20:31:49.0834407Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.0836262Z quantized_decomposed_dequantize_per_tensor_default_1413: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_993, 0.0004216353117953986, 31504, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_993 = None 2025-03-21T20:31:49.0839210Z aten_convolution_default_44: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1413, quantized_decomposed_dequantize_per_tensor_default_58, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1413 = quantized_decomposed_dequantize_per_tensor_default_58 = None 2025-03-21T20:31:49.0841854Z quantized_decomposed_quantize_per_tensor_default_994: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_44, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_convolution_default_44 = None 2025-03-21T20:31:49.0843150Z 2025-03-21T20:31:49.0843766Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.0845721Z quantized_decomposed_dequantize_per_tensor_default_1414: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_994, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_994 = None 2025-03-21T20:31:49.0848070Z aten_permute_copy_default_251: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1414, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1414 = None 2025-03-21T20:31:49.0850224Z quantized_decomposed_quantize_per_tensor_default_995: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_251, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_251 = None 2025-03-21T20:31:49.0851527Z 2025-03-21T20:31:49.0852280Z # 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]) 2025-03-21T20:31:49.0854344Z quantized_decomposed_dequantize_per_tensor_default_1415: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_995, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_995 = None 2025-03-21T20:31:49.0856641Z aten_squeeze_copy_dims_68: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1415, [-1]); quantized_decomposed_dequantize_per_tensor_default_1415 = None 2025-03-21T20:31:49.0858657Z quantized_decomposed_quantize_per_tensor_default_996: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_68, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_squeeze_copy_dims_68 = None 2025-03-21T20:31:49.0859917Z 2025-03-21T20:31:49.0860658Z # 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) 2025-03-21T20:31:49.0862685Z quantized_decomposed_dequantize_per_tensor_default_1416: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_996, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_996 = None 2025-03-21T20:31:49.0864211Z 2025-03-21T20:31:49.0864941Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.0866817Z aten_view_copy_default_108: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1406, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1406 = None 2025-03-21T20:31:49.0868873Z quantized_decomposed_quantize_per_tensor_default_997: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_108, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_view_copy_default_108 = None 2025-03-21T20:31:49.0870155Z 2025-03-21T20:31:49.0871372Z # File: .50:3598 in forward, code: dequantize_per_tensor_default_1152 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1152, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantize_per_tensor_default_1152 = None 2025-03-21T20:31:49.0873987Z quantized_decomposed_dequantize_per_tensor_default_1417: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_997, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_997 = None 2025-03-21T20:31:49.0875569Z 2025-03-21T20:31:49.0876317Z # 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) 2025-03-21T20:31:49.0877956Z aten_view_copy_default_109: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1411, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1411 = None 2025-03-21T20:31:49.0880048Z quantized_decomposed_quantize_per_tensor_default_998: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_109, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_view_copy_default_109 = None 2025-03-21T20:31:49.0881296Z 2025-03-21T20:31:49.0882509Z # File: .50:3601 in forward, code: dequantize_per_tensor_default_1153 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1153, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantize_per_tensor_default_1153 = None 2025-03-21T20:31:49.0885002Z quantized_decomposed_dequantize_per_tensor_default_1418: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_998, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_998 = None 2025-03-21T20:31:49.0886533Z 2025-03-21T20:31:49.0887273Z # 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) 2025-03-21T20:31:49.0888873Z aten_view_copy_default_110: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1416, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1416 = None 2025-03-21T20:31:49.0890905Z quantized_decomposed_quantize_per_tensor_default_999: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_110, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_view_copy_default_110 = None 2025-03-21T20:31:49.0892167Z 2025-03-21T20:31:49.0893070Z # 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) 2025-03-21T20:31:49.0895303Z quantized_decomposed_dequantize_per_tensor_default_1419: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_999, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_999 = None 2025-03-21T20:31:49.0896839Z 2025-03-21T20:31:49.0897828Z # File: .50:3606 in forward, code: quantize_per_tensor_default_1155 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_12, 0.00036033670767210424, 26444, 0, 65535, torch.int32); _to_copy_12 = None 2025-03-21T20:31:49.0900134Z quantized_decomposed_quantize_per_tensor_default_1000: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1417, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1417 = None 2025-03-21T20:31:49.0901665Z 2025-03-21T20:31:49.0902436Z # 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) 2025-03-21T20:31:49.0904469Z quantized_decomposed_dequantize_per_tensor_default_1420: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1000, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1000 = None 2025-03-21T20:31:49.0906816Z aten_view_copy_default_111: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1420, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1420 = None 2025-03-21T20:31:49.0908893Z quantized_decomposed_quantize_per_tensor_default_1001: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_111, 0.00036033670767210424, 26444, 0, 65535, torch.int32); aten_view_copy_default_111 = None 2025-03-21T20:31:49.0911380Z quantized_decomposed_dequantize_per_tensor_default_1421: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1001, 0.00036033670767210424, 26444, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1001 = None 2025-03-21T20:31:49.0913541Z aten_slice_copy_tensor_24: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1421, 4, 0, 1) 2025-03-21T20:31:49.0915147Z aten_slice_copy_tensor_25: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1421, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1421 = None 2025-03-21T20:31:49.0916734Z 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 2025-03-21T20:31:49.0918041Z 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 2025-03-21T20:31:49.0919793Z quantized_decomposed_quantize_per_tensor_default_1002: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_69, 0.0002986950858030468, 31901, 0, 65535, torch.int32); aten_squeeze_copy_dims_69 = None 2025-03-21T20:31:49.0921052Z 2025-03-21T20:31:49.0921746Z # 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 2025-03-21T20:31:49.0923465Z quantized_decomposed_dequantize_per_tensor_default_1422: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1002, 0.0002986950858030468, 31901, 0, 65535, torch.int32) 2025-03-21T20:31:49.0924745Z 2025-03-21T20:31:49.0925431Z # 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 2025-03-21T20:31:49.0927394Z quantized_decomposed_dequantize_per_tensor_default_1423: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1002, 0.0002986950858030468, 31901, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1002 = None 2025-03-21T20:31:49.0928929Z 2025-03-21T20:31:49.0929667Z # 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) 2025-03-21T20:31:49.0931432Z quantized_decomposed_quantize_per_tensor_default_1003: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_70, 0.0003436956903897226, 24551, 0, 65535, torch.int32); aten_squeeze_copy_dims_70 = None 2025-03-21T20:31:49.0932684Z 2025-03-21T20:31:49.0933366Z # 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 2025-03-21T20:31:49.0935088Z quantized_decomposed_dequantize_per_tensor_default_1424: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1003, 0.0003436956903897226, 24551, 0, 65535, torch.int32) 2025-03-21T20:31:49.0936361Z 2025-03-21T20:31:49.0937068Z # 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 2025-03-21T20:31:49.0939038Z quantized_decomposed_dequantize_per_tensor_default_1425: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1003, 0.0003436956903897226, 24551, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1003 = None 2025-03-21T20:31:49.0940576Z 2025-03-21T20:31:49.0941589Z # File: .50:3621 in forward, code: quantize_per_tensor_default_1159 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_13, 0.00046843686141073704, 34413, 0, 65535, torch.int32); _to_copy_13 = None 2025-03-21T20:31:49.0943890Z quantized_decomposed_quantize_per_tensor_default_1004: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1418, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1418 = None 2025-03-21T20:31:49.0945432Z 2025-03-21T20:31:49.0946166Z # 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) 2025-03-21T20:31:49.0948191Z quantized_decomposed_dequantize_per_tensor_default_1426: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1004, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1004 = None 2025-03-21T20:31:49.0950508Z aten_view_copy_default_112: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1426, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1426 = None 2025-03-21T20:31:49.0952588Z quantized_decomposed_quantize_per_tensor_default_1005: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_112, 0.00046843686141073704, 34413, 0, 65535, torch.int32); aten_view_copy_default_112 = None 2025-03-21T20:31:49.0955187Z quantized_decomposed_dequantize_per_tensor_default_1427: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1005, 0.00046843686141073704, 34413, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1005 = None 2025-03-21T20:31:49.0957233Z aten_slice_copy_tensor_26: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1427, 4, 0, 1) 2025-03-21T20:31:49.0958812Z aten_slice_copy_tensor_27: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1427, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1427 = None 2025-03-21T20:31:49.0960422Z 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 2025-03-21T20:31:49.0961717Z 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 2025-03-21T20:31:49.0963504Z quantized_decomposed_quantize_per_tensor_default_1006: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_71, 0.0004310147778596729, 31711, 0, 65535, torch.int32); aten_squeeze_copy_dims_71 = None 2025-03-21T20:31:49.0964747Z 2025-03-21T20:31:49.0965436Z # 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 2025-03-21T20:31:49.0967328Z quantized_decomposed_dequantize_per_tensor_default_1428: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1006, 0.0004310147778596729, 31711, 0, 65535, torch.int32) 2025-03-21T20:31:49.0968603Z 2025-03-21T20:31:49.0969287Z # 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 2025-03-21T20:31:49.0971251Z quantized_decomposed_dequantize_per_tensor_default_1429: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1006, 0.0004310147778596729, 31711, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1006 = None 2025-03-21T20:31:49.0972781Z 2025-03-21T20:31:49.0973523Z # 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) 2025-03-21T20:31:49.0975269Z quantized_decomposed_quantize_per_tensor_default_1007: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_72, 0.00046482981997542083, 34680, 0, 65535, torch.int32); aten_squeeze_copy_dims_72 = None 2025-03-21T20:31:49.0976531Z 2025-03-21T20:31:49.0977215Z # 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 2025-03-21T20:31:49.0978933Z quantized_decomposed_dequantize_per_tensor_default_1430: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1007, 0.00046482981997542083, 34680, 0, 65535, torch.int32) 2025-03-21T20:31:49.0980208Z 2025-03-21T20:31:49.0981009Z # 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 2025-03-21T20:31:49.0982980Z quantized_decomposed_dequantize_per_tensor_default_1431: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1007, 0.00046482981997542083, 34680, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1007 = None 2025-03-21T20:31:49.0984504Z 2025-03-21T20:31:49.0985150Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.0986632Z aten_view_copy_default_113: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_156, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_156 = None 2025-03-21T20:31:49.0988679Z quantized_decomposed_quantize_per_tensor_default_1008: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_113, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_113 = None 2025-03-21T20:31:49.0989975Z 2025-03-21T20:31:49.0990656Z # 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 2025-03-21T20:31:49.0992416Z quantized_decomposed_dequantize_per_tensor_default_1432: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1008, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.0993768Z 2025-03-21T20:31:49.0994450Z # 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 2025-03-21T20:31:49.0996164Z quantized_decomposed_dequantize_per_tensor_default_1433: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1008, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.0997443Z 2025-03-21T20:31:49.0998124Z # 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 2025-03-21T20:31:49.0999831Z quantized_decomposed_dequantize_per_tensor_default_1434: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1008, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.1001113Z 2025-03-21T20:31:49.1001795Z # 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 2025-03-21T20:31:49.1003755Z quantized_decomposed_dequantize_per_tensor_default_1435: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1008, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1008 = None 2025-03-21T20:31:49.1005283Z 2025-03-21T20:31:49.1005927Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.1007401Z aten_view_copy_default_114: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_168, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_168 = None 2025-03-21T20:31:49.1009471Z quantized_decomposed_quantize_per_tensor_default_1009: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_114, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_114 = None 2025-03-21T20:31:49.1010727Z 2025-03-21T20:31:49.1011416Z # 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 2025-03-21T20:31:49.1013132Z quantized_decomposed_dequantize_per_tensor_default_1436: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1009, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.1014415Z 2025-03-21T20:31:49.1015136Z # 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 2025-03-21T20:31:49.1016837Z quantized_decomposed_dequantize_per_tensor_default_1437: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1009, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.1018116Z 2025-03-21T20:31:49.1018814Z # 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 2025-03-21T20:31:49.1020550Z quantized_decomposed_dequantize_per_tensor_default_1438: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1009, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.1021816Z 2025-03-21T20:31:49.1022500Z # 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 2025-03-21T20:31:49.1024460Z quantized_decomposed_dequantize_per_tensor_default_1439: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1009, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1009 = None 2025-03-21T20:31:49.1025996Z 2025-03-21T20:31:49.1026677Z # 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 2025-03-21T20:31:49.1028636Z aten_mul_tensor_92: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1423, quantized_decomposed_dequantize_per_tensor_default_1435); quantized_decomposed_dequantize_per_tensor_default_1423 = quantized_decomposed_dequantize_per_tensor_default_1435 = None 2025-03-21T20:31:49.1031019Z quantized_decomposed_quantize_per_tensor_default_1010: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_92, 0.0002917187812272459, 32599, 0, 65535, torch.int32); aten_mul_tensor_92 = None 2025-03-21T20:31:49.1033513Z quantized_decomposed_dequantize_per_tensor_default_1440: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1010, 0.0002917187812272459, 32599, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1010 = None 2025-03-21T20:31:49.1036251Z aten_mul_tensor_93: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1424, quantized_decomposed_dequantize_per_tensor_default_1438); quantized_decomposed_dequantize_per_tensor_default_1424 = quantized_decomposed_dequantize_per_tensor_default_1438 = None 2025-03-21T20:31:49.1038673Z quantized_decomposed_quantize_per_tensor_default_1011: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_93, 0.00021490042854566127, 31703, 0, 65535, torch.int32); aten_mul_tensor_93 = None 2025-03-21T20:31:49.1041085Z quantized_decomposed_dequantize_per_tensor_default_1441: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1011, 0.00021490042854566127, 31703, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1011 = None 2025-03-21T20:31:49.1043803Z aten_sub_tensor_12: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1440, quantized_decomposed_dequantize_per_tensor_default_1441); quantized_decomposed_dequantize_per_tensor_default_1440 = quantized_decomposed_dequantize_per_tensor_default_1441 = None 2025-03-21T20:31:49.1046215Z quantized_decomposed_quantize_per_tensor_default_1012: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_12, 0.0002888002200052142, 33000, 0, 65535, torch.int32); aten_sub_tensor_12 = None 2025-03-21T20:31:49.1047408Z 2025-03-21T20:31:49.1048631Z # File: .50:3655 in forward, code: dequantize_per_tensor_default_1167 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1167, 0.0002888002200052142, 33000, 0, 65535, torch.int32); quantize_per_tensor_default_1167 = None 2025-03-21T20:31:49.1051211Z quantized_decomposed_dequantize_per_tensor_default_1442: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1012, 0.0002888002200052142, 33000, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1012 = None 2025-03-21T20:31:49.1052753Z 2025-03-21T20:31:49.1053436Z # 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 2025-03-21T20:31:49.1055380Z aten_mul_tensor_94: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1422, quantized_decomposed_dequantize_per_tensor_default_1439); quantized_decomposed_dequantize_per_tensor_default_1422 = quantized_decomposed_dequantize_per_tensor_default_1439 = None 2025-03-21T20:31:49.1057770Z quantized_decomposed_quantize_per_tensor_default_1013: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_94, 0.00015702449309173971, 33148, 0, 65535, torch.int32); aten_mul_tensor_94 = None 2025-03-21T20:31:49.1059098Z quantized_decomposed_dequantize_per_tensor_default_1443: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1013, 0.00015702449309173971, 33148, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1013 = None 2025-03-21T20:31:49.1060389Z aten_mul_tensor_95: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1425, quantized_decomposed_dequantize_per_tensor_default_1434); quantized_decomposed_dequantize_per_tensor_default_1425 = quantized_decomposed_dequantize_per_tensor_default_1434 = None 2025-03-21T20:31:49.1061380Z quantized_decomposed_quantize_per_tensor_default_1014: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_95, 0.00033834765781648457, 24827, 0, 65535, torch.int32); aten_mul_tensor_95 = None 2025-03-21T20:31:49.1062727Z quantized_decomposed_dequantize_per_tensor_default_1444: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1014, 0.00033834765781648457, 24827, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1014 = None 2025-03-21T20:31:49.1064031Z aten_add_tensor_30: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1443, quantized_decomposed_dequantize_per_tensor_default_1444); quantized_decomposed_dequantize_per_tensor_default_1443 = quantized_decomposed_dequantize_per_tensor_default_1444 = None 2025-03-21T20:31:49.1065015Z quantized_decomposed_quantize_per_tensor_default_1015: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_30, 0.00033126529888249934, 25134, 0, 65535, torch.int32); aten_add_tensor_30 = None 2025-03-21T20:31:49.1065154Z 2025-03-21T20:31:49.1066224Z # File: .50:3664 in forward, code: dequantize_per_tensor_default_1170 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1170, 0.00033126529888249934, 25134, 0, 65535, torch.int32); quantize_per_tensor_default_1170 = None 2025-03-21T20:31:49.1067745Z quantized_decomposed_dequantize_per_tensor_default_1445: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1015, 0.00033126529888249934, 25134, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1015 = None 2025-03-21T20:31:49.1067841Z 2025-03-21T20:31:49.1068461Z # 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 2025-03-21T20:31:49.1069763Z aten_mul_tensor_96: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1429, quantized_decomposed_dequantize_per_tensor_default_1433); quantized_decomposed_dequantize_per_tensor_default_1429 = quantized_decomposed_dequantize_per_tensor_default_1433 = None 2025-03-21T20:31:49.1070748Z quantized_decomposed_quantize_per_tensor_default_1016: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_96, 0.00042510710773058236, 32035, 0, 65535, torch.int32); aten_mul_tensor_96 = None 2025-03-21T20:31:49.1072084Z quantized_decomposed_dequantize_per_tensor_default_1446: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1016, 0.00042510710773058236, 32035, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1016 = None 2025-03-21T20:31:49.1073441Z aten_mul_tensor_97: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1430, quantized_decomposed_dequantize_per_tensor_default_1436); quantized_decomposed_dequantize_per_tensor_default_1430 = quantized_decomposed_dequantize_per_tensor_default_1436 = None 2025-03-21T20:31:49.1074430Z quantized_decomposed_quantize_per_tensor_default_1017: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_97, 0.00023940755636431277, 32509, 0, 65535, torch.int32); aten_mul_tensor_97 = None 2025-03-21T20:31:49.1075745Z quantized_decomposed_dequantize_per_tensor_default_1447: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1017, 0.00023940755636431277, 32509, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1017 = None 2025-03-21T20:31:49.1077077Z aten_sub_tensor_13: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1446, quantized_decomposed_dequantize_per_tensor_default_1447); quantized_decomposed_dequantize_per_tensor_default_1446 = quantized_decomposed_dequantize_per_tensor_default_1447 = None 2025-03-21T20:31:49.1078050Z quantized_decomposed_quantize_per_tensor_default_1018: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_13, 0.0004331881063990295, 31428, 0, 65535, torch.int32); aten_sub_tensor_13 = None 2025-03-21T20:31:49.1078164Z 2025-03-21T20:31:49.1079233Z # File: .50:3673 in forward, code: dequantize_per_tensor_default_1173 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1173, 0.0004331881063990295, 31428, 0, 65535, torch.int32); quantize_per_tensor_default_1173 = None 2025-03-21T20:31:49.1080592Z quantized_decomposed_dequantize_per_tensor_default_1448: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1018, 0.0004331881063990295, 31428, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1018 = None 2025-03-21T20:31:49.1080740Z 2025-03-21T20:31:49.1081287Z # 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 2025-03-21T20:31:49.1082602Z aten_mul_tensor_98: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1428, quantized_decomposed_dequantize_per_tensor_default_1437); quantized_decomposed_dequantize_per_tensor_default_1428 = quantized_decomposed_dequantize_per_tensor_default_1437 = None 2025-03-21T20:31:49.1083593Z quantized_decomposed_quantize_per_tensor_default_1019: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_98, 0.00021039359853602946, 32216, 0, 65535, torch.int32); aten_mul_tensor_98 = None 2025-03-21T20:31:49.1084913Z quantized_decomposed_dequantize_per_tensor_default_1449: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1019, 0.00021039359853602946, 32216, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1019 = None 2025-03-21T20:31:49.1086213Z aten_mul_tensor_99: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1431, quantized_decomposed_dequantize_per_tensor_default_1432); quantized_decomposed_dequantize_per_tensor_default_1431 = quantized_decomposed_dequantize_per_tensor_default_1432 = None 2025-03-21T20:31:49.1087181Z quantized_decomposed_quantize_per_tensor_default_1020: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_99, 0.00045264922664500773, 34909, 0, 65535, torch.int32); aten_mul_tensor_99 = None 2025-03-21T20:31:49.1088506Z quantized_decomposed_dequantize_per_tensor_default_1450: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1020, 0.00045264922664500773, 34909, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1020 = None 2025-03-21T20:31:49.1089798Z aten_add_tensor_31: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1449, quantized_decomposed_dequantize_per_tensor_default_1450); quantized_decomposed_dequantize_per_tensor_default_1449 = quantized_decomposed_dequantize_per_tensor_default_1450 = None 2025-03-21T20:31:49.1090791Z quantized_decomposed_quantize_per_tensor_default_1021: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_31, 0.0004520940419752151, 35209, 0, 65535, torch.int32); aten_add_tensor_31 = None 2025-03-21T20:31:49.1090903Z 2025-03-21T20:31:49.1091961Z # File: .50:3682 in forward, code: dequantize_per_tensor_default_1176 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1176, 0.0004520940419752151, 35209, 0, 65535, torch.int32); quantize_per_tensor_default_1176 = None 2025-03-21T20:31:49.1093276Z quantized_decomposed_dequantize_per_tensor_default_1451: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1021, 0.0004520940419752151, 35209, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1021 = None 2025-03-21T20:31:49.1093403Z 2025-03-21T20:31:49.1093992Z # 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) 2025-03-21T20:31:49.1094910Z aten_unsqueeze_copy_default_69: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1442, 4); quantized_decomposed_dequantize_per_tensor_default_1442 = None 2025-03-21T20:31:49.1095878Z aten_unsqueeze_copy_default_70: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1445, 4); quantized_decomposed_dequantize_per_tensor_default_1445 = None 2025-03-21T20:31:49.1096719Z 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 2025-03-21T20:31:49.1097726Z quantized_decomposed_quantize_per_tensor_default_1022: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_24, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_cat_default_24 = None 2025-03-21T20:31:49.1099047Z quantized_decomposed_dequantize_per_tensor_default_1452: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1022, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1022 = None 2025-03-21T20:31:49.1099931Z aten_view_copy_default_115: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1452, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1452 = None 2025-03-21T20:31:49.1100971Z quantized_decomposed_quantize_per_tensor_default_1023: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_115, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_view_copy_default_115 = None 2025-03-21T20:31:49.1101087Z 2025-03-21T20:31:49.1102150Z # File: .50:3688 in forward, code: dequantize_per_tensor_default_1178 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1178, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantize_per_tensor_default_1178 = None 2025-03-21T20:31:49.1103499Z quantized_decomposed_dequantize_per_tensor_default_1453: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1023, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1023 = None 2025-03-21T20:31:49.1103597Z 2025-03-21T20:31:49.1104195Z # 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) 2025-03-21T20:31:49.1105099Z aten_unsqueeze_copy_default_71: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1448, 4); quantized_decomposed_dequantize_per_tensor_default_1448 = None 2025-03-21T20:31:49.1106017Z aten_unsqueeze_copy_default_72: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1451, 4); quantized_decomposed_dequantize_per_tensor_default_1451 = None 2025-03-21T20:31:49.1106878Z 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 2025-03-21T20:31:49.1107868Z quantized_decomposed_quantize_per_tensor_default_1024: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_25, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_cat_default_25 = None 2025-03-21T20:31:49.1109221Z quantized_decomposed_dequantize_per_tensor_default_1454: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1024, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1024 = None 2025-03-21T20:31:49.1110106Z aten_view_copy_default_116: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1454, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1454 = None 2025-03-21T20:31:49.1111129Z quantized_decomposed_quantize_per_tensor_default_1025: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_116, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_view_copy_default_116 = None 2025-03-21T20:31:49.1111241Z 2025-03-21T20:31:49.1112288Z # File: .50:3694 in forward, code: dequantize_per_tensor_default_1180 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1180, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1180 = None 2025-03-21T20:31:49.1113690Z quantized_decomposed_dequantize_per_tensor_default_1455: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1025, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1025 = None 2025-03-21T20:31:49.1113790Z 2025-03-21T20:31:49.1114649Z # File: .50:3696 in forward, code: quantize_per_tensor_default_1181 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_12, 0.00034964593942277133, 27258, 0, 65535, torch.int32); type_as_12 = None 2025-03-21T20:31:49.1115963Z quantized_decomposed_quantize_per_tensor_default_1026: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1453, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1453 = None 2025-03-21T20:31:49.1116078Z 2025-03-21T20:31:49.1116665Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.1118028Z quantized_decomposed_dequantize_per_tensor_default_1456: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1026, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1026 = None 2025-03-21T20:31:49.1118127Z 2025-03-21T20:31:49.1118980Z # File: .50:3699 in forward, code: quantize_per_tensor_default_1182 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_13, 0.000468338665086776, 33988, 0, 65535, torch.int32); type_as_13 = None 2025-03-21T20:31:49.1120288Z quantized_decomposed_quantize_per_tensor_default_1027: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1455, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1455 = None 2025-03-21T20:31:49.1120422Z 2025-03-21T20:31:49.1121170Z # 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) 2025-03-21T20:31:49.1122491Z quantized_decomposed_dequantize_per_tensor_default_1457: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1027, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1027 = None 2025-03-21T20:31:49.1122613Z 2025-03-21T20:31:49.1123234Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.1124145Z aten_permute_copy_default_252: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1456, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1456 = None 2025-03-21T20:31:49.1125224Z quantized_decomposed_quantize_per_tensor_default_1028: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_252, 0.00034964593942277133, 27258, 0, 65535, torch.int32); aten_permute_copy_default_252 = None 2025-03-21T20:31:49.1125322Z 2025-03-21T20:31:49.1125981Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.1127298Z quantized_decomposed_dequantize_per_tensor_default_1458: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1028, 0.00034964593942277133, 27258, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1028 = None 2025-03-21T20:31:49.1127411Z 2025-03-21T20:31:49.1128155Z # 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) 2025-03-21T20:31:49.1129655Z aten_index_put_default_12: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_131, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1457); quantized_decomposed_dequantize_per_tensor_default_131 = quantized_decomposed_dequantize_per_tensor_default_1457 = None 2025-03-21T20:31:49.1130712Z quantized_decomposed_quantize_per_tensor_default_1029: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_12, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_index_put_default_12 = None 2025-03-21T20:31:49.1130825Z 2025-03-21T20:31:49.1131715Z # File: .50:3706 in forward, code: dequantize_per_tensor_default_1184 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1184, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1132787Z quantized_decomposed_dequantize_per_tensor_default_1459: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1132883Z 2025-03-21T20:31:49.1133600Z # 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) 2025-03-21T20:31:49.1134709Z quantized_decomposed_dequantize_per_tensor_default_1460: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1135756Z quantized_decomposed_dequantize_per_tensor_default_1461: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1136863Z quantized_decomposed_dequantize_per_tensor_default_1462: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1137918Z quantized_decomposed_dequantize_per_tensor_default_1463: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1138971Z quantized_decomposed_dequantize_per_tensor_default_1464: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1140032Z quantized_decomposed_dequantize_per_tensor_default_1465: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1141075Z quantized_decomposed_dequantize_per_tensor_default_1466: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1142125Z quantized_decomposed_dequantize_per_tensor_default_1467: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1143174Z quantized_decomposed_dequantize_per_tensor_default_1468: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1144226Z quantized_decomposed_dequantize_per_tensor_default_1469: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1145290Z quantized_decomposed_dequantize_per_tensor_default_1470: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32) 2025-03-21T20:31:49.1146614Z quantized_decomposed_dequantize_per_tensor_default_1471: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1029, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1029 = None 2025-03-21T20:31:49.1146713Z 2025-03-21T20:31:49.1147479Z # 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) 2025-03-21T20:31:49.1148976Z aten_index_put_default_13: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_132, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1419); quantized_decomposed_dequantize_per_tensor_default_132 = quantized_decomposed_dequantize_per_tensor_default_1419 = None 2025-03-21T20:31:49.1150059Z quantized_decomposed_quantize_per_tensor_default_1030: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_13, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_index_put_default_13 = None 2025-03-21T20:31:49.1150155Z 2025-03-21T20:31:49.1151086Z # File: .50:3721 in forward, code: dequantize_per_tensor_default_1185 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1185, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1152144Z quantized_decomposed_dequantize_per_tensor_default_1472: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1152257Z 2025-03-21T20:31:49.1153073Z # 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) 2025-03-21T20:31:49.1154136Z quantized_decomposed_dequantize_per_tensor_default_1473: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1155203Z quantized_decomposed_dequantize_per_tensor_default_1474: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1156273Z quantized_decomposed_dequantize_per_tensor_default_1475: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1157331Z quantized_decomposed_dequantize_per_tensor_default_1476: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1158440Z quantized_decomposed_dequantize_per_tensor_default_1477: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1159494Z quantized_decomposed_dequantize_per_tensor_default_1478: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1160559Z quantized_decomposed_dequantize_per_tensor_default_1479: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1161616Z quantized_decomposed_dequantize_per_tensor_default_1480: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1162699Z quantized_decomposed_dequantize_per_tensor_default_1481: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1163796Z quantized_decomposed_dequantize_per_tensor_default_1482: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1164862Z quantized_decomposed_dequantize_per_tensor_default_1483: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.1166197Z quantized_decomposed_dequantize_per_tensor_default_1484: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1030, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1030 = None 2025-03-21T20:31:49.1166297Z 2025-03-21T20:31:49.1167225Z # 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) 2025-03-21T20:31:49.1168144Z aten_permute_copy_default_253: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1471, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1471 = None 2025-03-21T20:31:49.1169236Z quantized_decomposed_quantize_per_tensor_default_1031: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_253, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_253 = None 2025-03-21T20:31:49.1170555Z quantized_decomposed_dequantize_per_tensor_default_1485: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1031, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1031 = None 2025-03-21T20:31:49.1171423Z aten_select_copy_int_288: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1485, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1485 = None 2025-03-21T20:31:49.1172510Z quantized_decomposed_quantize_per_tensor_default_1032: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_288, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_288 = None 2025-03-21T20:31:49.1173830Z quantized_decomposed_dequantize_per_tensor_default_1486: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1032, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1032 = None 2025-03-21T20:31:49.1174672Z aten_select_copy_int_289: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1486, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1486 = None 2025-03-21T20:31:49.1175695Z quantized_decomposed_quantize_per_tensor_default_1033: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_289, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_289 = None 2025-03-21T20:31:49.1175838Z 2025-03-21T20:31:49.1176902Z # File: .50:3742 in forward, code: dequantize_per_tensor_default_1188 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1188, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1188 = None 2025-03-21T20:31:49.1178232Z quantized_decomposed_dequantize_per_tensor_default_1487: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1033, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1033 = None 2025-03-21T20:31:49.1178377Z 2025-03-21T20:31:49.1179092Z # 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) 2025-03-21T20:31:49.1180027Z aten_permute_copy_default_254: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1470, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1470 = None 2025-03-21T20:31:49.1181087Z quantized_decomposed_quantize_per_tensor_default_1034: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_254, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_254 = None 2025-03-21T20:31:49.1182418Z quantized_decomposed_dequantize_per_tensor_default_1488: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1034, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1034 = None 2025-03-21T20:31:49.1183268Z aten_select_copy_int_290: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1488, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1488 = None 2025-03-21T20:31:49.1184304Z quantized_decomposed_quantize_per_tensor_default_1035: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_290, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_290 = None 2025-03-21T20:31:49.1185622Z quantized_decomposed_dequantize_per_tensor_default_1489: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1035, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1035 = None 2025-03-21T20:31:49.1186502Z aten_select_copy_int_291: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1489, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1489 = None 2025-03-21T20:31:49.1187536Z quantized_decomposed_quantize_per_tensor_default_1036: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_291, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_291 = None 2025-03-21T20:31:49.1187637Z 2025-03-21T20:31:49.1188705Z # File: .50:3751 in forward, code: dequantize_per_tensor_default_1191 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1191, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1191 = None 2025-03-21T20:31:49.1190046Z quantized_decomposed_dequantize_per_tensor_default_1490: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1036, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1036 = None 2025-03-21T20:31:49.1190156Z 2025-03-21T20:31:49.1190875Z # 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) 2025-03-21T20:31:49.1191835Z aten_permute_copy_default_255: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1469, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1469 = None 2025-03-21T20:31:49.1192995Z quantized_decomposed_quantize_per_tensor_default_1037: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_255, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_255 = None 2025-03-21T20:31:49.1194322Z quantized_decomposed_dequantize_per_tensor_default_1491: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1037, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1037 = None 2025-03-21T20:31:49.1195168Z aten_select_copy_int_292: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1491, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1491 = None 2025-03-21T20:31:49.1196200Z quantized_decomposed_quantize_per_tensor_default_1038: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_292, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_292 = None 2025-03-21T20:31:49.1197516Z quantized_decomposed_dequantize_per_tensor_default_1492: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1038, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1038 = None 2025-03-21T20:31:49.1198367Z aten_select_copy_int_293: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1492, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1492 = None 2025-03-21T20:31:49.1199383Z quantized_decomposed_quantize_per_tensor_default_1039: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_293, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_293 = None 2025-03-21T20:31:49.1199495Z 2025-03-21T20:31:49.1200576Z # File: .50:3760 in forward, code: dequantize_per_tensor_default_1194 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1194, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1194 = None 2025-03-21T20:31:49.1201896Z quantized_decomposed_dequantize_per_tensor_default_1493: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1039, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1039 = None 2025-03-21T20:31:49.1202001Z 2025-03-21T20:31:49.1202730Z # 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) 2025-03-21T20:31:49.1203671Z aten_permute_copy_default_256: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1468, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1468 = None 2025-03-21T20:31:49.1204754Z quantized_decomposed_quantize_per_tensor_default_1040: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_256, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_256 = None 2025-03-21T20:31:49.1206121Z quantized_decomposed_dequantize_per_tensor_default_1494: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1040, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1040 = None 2025-03-21T20:31:49.1206985Z aten_select_copy_int_294: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1494, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1494 = None 2025-03-21T20:31:49.1207999Z quantized_decomposed_quantize_per_tensor_default_1041: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_294, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_294 = None 2025-03-21T20:31:49.1209324Z quantized_decomposed_dequantize_per_tensor_default_1495: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1041, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1041 = None 2025-03-21T20:31:49.1210160Z aten_select_copy_int_295: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1495, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1495 = None 2025-03-21T20:31:49.1211181Z quantized_decomposed_quantize_per_tensor_default_1042: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_295, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_295 = None 2025-03-21T20:31:49.1211281Z 2025-03-21T20:31:49.1212345Z # File: .50:3769 in forward, code: dequantize_per_tensor_default_1197 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1197, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1197 = None 2025-03-21T20:31:49.1213682Z quantized_decomposed_dequantize_per_tensor_default_1496: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1042, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1042 = None 2025-03-21T20:31:49.1213802Z 2025-03-21T20:31:49.1214521Z # 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) 2025-03-21T20:31:49.1215455Z aten_permute_copy_default_257: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1467, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1467 = None 2025-03-21T20:31:49.1216521Z quantized_decomposed_quantize_per_tensor_default_1043: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_257, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_257 = None 2025-03-21T20:31:49.1217869Z quantized_decomposed_dequantize_per_tensor_default_1497: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1043, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1043 = None 2025-03-21T20:31:49.1218715Z aten_select_copy_int_296: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1497, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1497 = None 2025-03-21T20:31:49.1219799Z quantized_decomposed_quantize_per_tensor_default_1044: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_296, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_296 = None 2025-03-21T20:31:49.1221133Z quantized_decomposed_dequantize_per_tensor_default_1498: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1044, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1044 = None 2025-03-21T20:31:49.1221970Z aten_select_copy_int_297: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1498, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1498 = None 2025-03-21T20:31:49.1223000Z quantized_decomposed_quantize_per_tensor_default_1045: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_297, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_297 = None 2025-03-21T20:31:49.1223097Z 2025-03-21T20:31:49.1224176Z # File: .50:3778 in forward, code: dequantize_per_tensor_default_1200 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1200, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1200 = None 2025-03-21T20:31:49.1225486Z quantized_decomposed_dequantize_per_tensor_default_1499: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1045, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1045 = None 2025-03-21T20:31:49.1225597Z 2025-03-21T20:31:49.1226314Z # 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) 2025-03-21T20:31:49.1227264Z aten_permute_copy_default_258: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1466, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1466 = None 2025-03-21T20:31:49.1228339Z quantized_decomposed_quantize_per_tensor_default_1046: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_258, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_258 = None 2025-03-21T20:31:49.1229653Z quantized_decomposed_dequantize_per_tensor_default_1500: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1046, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1046 = None 2025-03-21T20:31:49.1230488Z aten_select_copy_int_298: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1500, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1500 = None 2025-03-21T20:31:49.1231541Z quantized_decomposed_quantize_per_tensor_default_1047: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_298, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_298 = None 2025-03-21T20:31:49.1232918Z quantized_decomposed_dequantize_per_tensor_default_1501: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1047, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1047 = None 2025-03-21T20:31:49.1233834Z aten_select_copy_int_299: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1501, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1501 = None 2025-03-21T20:31:49.1234855Z quantized_decomposed_quantize_per_tensor_default_1048: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_299, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_299 = None 2025-03-21T20:31:49.1234970Z 2025-03-21T20:31:49.1236017Z # File: .50:3787 in forward, code: dequantize_per_tensor_default_1203 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1203, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1203 = None 2025-03-21T20:31:49.1237351Z quantized_decomposed_dequantize_per_tensor_default_1502: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1048, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1048 = None 2025-03-21T20:31:49.1237453Z 2025-03-21T20:31:49.1238190Z # 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) 2025-03-21T20:31:49.1239099Z aten_permute_copy_default_259: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1465, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1465 = None 2025-03-21T20:31:49.1240178Z quantized_decomposed_quantize_per_tensor_default_1049: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_259, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_259 = None 2025-03-21T20:31:49.1241549Z quantized_decomposed_dequantize_per_tensor_default_1503: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1049, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1049 = None 2025-03-21T20:31:49.1242408Z aten_select_copy_int_300: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1503, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1503 = None 2025-03-21T20:31:49.1243428Z quantized_decomposed_quantize_per_tensor_default_1050: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_300, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_300 = None 2025-03-21T20:31:49.1244752Z quantized_decomposed_dequantize_per_tensor_default_1504: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1050, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1050 = None 2025-03-21T20:31:49.1245610Z aten_select_copy_int_301: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1504, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1504 = None 2025-03-21T20:31:49.1246655Z quantized_decomposed_quantize_per_tensor_default_1051: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_301, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_301 = None 2025-03-21T20:31:49.1246751Z 2025-03-21T20:31:49.1247841Z # File: .50:3796 in forward, code: dequantize_per_tensor_default_1206 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1206, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1206 = None 2025-03-21T20:31:49.1249152Z quantized_decomposed_dequantize_per_tensor_default_1505: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1051, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1051 = None 2025-03-21T20:31:49.1249263Z 2025-03-21T20:31:49.1249976Z # 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) 2025-03-21T20:31:49.1250909Z aten_permute_copy_default_260: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1464, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1464 = None 2025-03-21T20:31:49.1251981Z quantized_decomposed_quantize_per_tensor_default_1052: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_260, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_260 = None 2025-03-21T20:31:49.1253308Z quantized_decomposed_dequantize_per_tensor_default_1506: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1052, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1052 = None 2025-03-21T20:31:49.1254170Z aten_select_copy_int_302: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1506, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1506 = None 2025-03-21T20:31:49.1255228Z quantized_decomposed_quantize_per_tensor_default_1053: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_302, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_302 = None 2025-03-21T20:31:49.1256544Z quantized_decomposed_dequantize_per_tensor_default_1507: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1053, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1053 = None 2025-03-21T20:31:49.1257383Z aten_select_copy_int_303: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1507, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1507 = None 2025-03-21T20:31:49.1258435Z quantized_decomposed_quantize_per_tensor_default_1054: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_303, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_303 = None 2025-03-21T20:31:49.1258533Z 2025-03-21T20:31:49.1259598Z # File: .50:3805 in forward, code: dequantize_per_tensor_default_1209 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1209, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1209 = None 2025-03-21T20:31:49.1260949Z quantized_decomposed_dequantize_per_tensor_default_1508: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1054, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1054 = None 2025-03-21T20:31:49.1261062Z 2025-03-21T20:31:49.1261780Z # 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) 2025-03-21T20:31:49.1262708Z aten_permute_copy_default_261: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1463, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1463 = None 2025-03-21T20:31:49.1263776Z quantized_decomposed_quantize_per_tensor_default_1055: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_261, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_261 = None 2025-03-21T20:31:49.1265105Z quantized_decomposed_dequantize_per_tensor_default_1509: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1055, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1055 = None 2025-03-21T20:31:49.1265946Z aten_select_copy_int_304: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1509, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1509 = None 2025-03-21T20:31:49.1267304Z quantized_decomposed_quantize_per_tensor_default_1056: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_304, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_304 = None 2025-03-21T20:31:49.1268612Z quantized_decomposed_dequantize_per_tensor_default_1510: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1056, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1056 = None 2025-03-21T20:31:49.1269547Z aten_select_copy_int_305: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1510, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1510 = None 2025-03-21T20:31:49.1270563Z quantized_decomposed_quantize_per_tensor_default_1057: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_305, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_305 = None 2025-03-21T20:31:49.1270674Z 2025-03-21T20:31:49.1271728Z # File: .50:3814 in forward, code: dequantize_per_tensor_default_1212 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1212, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1212 = None 2025-03-21T20:31:49.1273185Z quantized_decomposed_dequantize_per_tensor_default_1511: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1057, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1057 = None 2025-03-21T20:31:49.1273284Z 2025-03-21T20:31:49.1274019Z # 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) 2025-03-21T20:31:49.1275052Z aten_permute_copy_default_262: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1462, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1462 = None 2025-03-21T20:31:49.1276130Z quantized_decomposed_quantize_per_tensor_default_1058: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_262, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_262 = None 2025-03-21T20:31:49.1277442Z quantized_decomposed_dequantize_per_tensor_default_1512: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1058, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1058 = None 2025-03-21T20:31:49.1278292Z aten_select_copy_int_306: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1512, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1512 = None 2025-03-21T20:31:49.1279318Z quantized_decomposed_quantize_per_tensor_default_1059: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_306, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_306 = None 2025-03-21T20:31:49.1280639Z quantized_decomposed_dequantize_per_tensor_default_1513: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1059, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1059 = None 2025-03-21T20:31:49.1281499Z aten_select_copy_int_307: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1513, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1513 = None 2025-03-21T20:31:49.1282511Z quantized_decomposed_quantize_per_tensor_default_1060: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_307, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_307 = None 2025-03-21T20:31:49.1282648Z 2025-03-21T20:31:49.1283695Z # File: .50:3823 in forward, code: dequantize_per_tensor_default_1215 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1215, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1215 = None 2025-03-21T20:31:49.1285015Z quantized_decomposed_dequantize_per_tensor_default_1514: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1060, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1060 = None 2025-03-21T20:31:49.1285112Z 2025-03-21T20:31:49.1285833Z # 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) 2025-03-21T20:31:49.1286787Z aten_permute_copy_default_263: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1461, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1461 = None 2025-03-21T20:31:49.1287866Z quantized_decomposed_quantize_per_tensor_default_1061: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_263, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_263 = None 2025-03-21T20:31:49.1289243Z quantized_decomposed_dequantize_per_tensor_default_1515: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1061, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1061 = None 2025-03-21T20:31:49.1290104Z aten_select_copy_int_308: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1515, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1515 = None 2025-03-21T20:31:49.1291115Z quantized_decomposed_quantize_per_tensor_default_1062: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_308, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_308 = None 2025-03-21T20:31:49.1292437Z quantized_decomposed_dequantize_per_tensor_default_1516: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1062, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1062 = None 2025-03-21T20:31:49.1293285Z aten_select_copy_int_309: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1516, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1516 = None 2025-03-21T20:31:49.1294317Z quantized_decomposed_quantize_per_tensor_default_1063: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_309, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_309 = None 2025-03-21T20:31:49.1294416Z 2025-03-21T20:31:49.1295479Z # File: .50:3832 in forward, code: dequantize_per_tensor_default_1218 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1218, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1218 = None 2025-03-21T20:31:49.1296812Z quantized_decomposed_dequantize_per_tensor_default_1517: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1063, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1063 = None 2025-03-21T20:31:49.1296926Z 2025-03-21T20:31:49.1297649Z # 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) 2025-03-21T20:31:49.1298575Z aten_permute_copy_default_264: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1460, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1460 = None 2025-03-21T20:31:49.1299638Z quantized_decomposed_quantize_per_tensor_default_1064: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_264, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_264 = None 2025-03-21T20:31:49.1300988Z quantized_decomposed_dequantize_per_tensor_default_1518: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1064, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1064 = None 2025-03-21T20:31:49.1301858Z aten_select_copy_int_310: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1518, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1518 = None 2025-03-21T20:31:49.1302913Z quantized_decomposed_quantize_per_tensor_default_1065: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_310, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_310 = None 2025-03-21T20:31:49.1304226Z quantized_decomposed_dequantize_per_tensor_default_1519: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1065, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1065 = None 2025-03-21T20:31:49.1305077Z aten_select_copy_int_311: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1519, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1519 = None 2025-03-21T20:31:49.1306090Z quantized_decomposed_quantize_per_tensor_default_1066: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_311, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_select_copy_int_311 = None 2025-03-21T20:31:49.1306204Z 2025-03-21T20:31:49.1307259Z # File: .50:3841 in forward, code: dequantize_per_tensor_default_1221 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1221, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1221 = None 2025-03-21T20:31:49.1308597Z quantized_decomposed_dequantize_per_tensor_default_1520: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1066, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1066 = None 2025-03-21T20:31:49.1308697Z 2025-03-21T20:31:49.1309431Z # 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) 2025-03-21T20:31:49.1315874Z aten_cat_default_26: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1487, quantized_decomposed_dequantize_per_tensor_default_1490, quantized_decomposed_dequantize_per_tensor_default_1493, quantized_decomposed_dequantize_per_tensor_default_1496, quantized_decomposed_dequantize_per_tensor_default_1499, quantized_decomposed_dequantize_per_tensor_default_1502, quantized_decomposed_dequantize_per_tensor_default_1505, quantized_decomposed_dequantize_per_tensor_default_1508, quantized_decomposed_dequantize_per_tensor_default_1511, quantized_decomposed_dequantize_per_tensor_default_1514, quantized_decomposed_dequantize_per_tensor_default_1517, quantized_decomposed_dequantize_per_tensor_default_1520]); quantized_decomposed_dequantize_per_tensor_default_1487 = quantized_decomposed_dequantize_per_tensor_default_1490 = quantized_decomposed_dequantize_per_tensor_default_1493 = quantized_decomposed_dequantize_per_tensor_default_1496 = quantized_decomposed_dequantize_per_tensor_default_1499 = quantized_decomposed_dequantize_per_tensor_default_1502 = quantized_decomposed_dequantize_per_tensor_default_1505 = quantized_decomposed_dequantize_per_tensor_default_1508 = quantized_decomposed_dequantize_per_tensor_default_1511 = quantized_decomposed_dequantize_per_tensor_default_1514 = quantized_decomposed_dequantize_per_tensor_default_1517 = quantized_decomposed_dequantize_per_tensor_default_1520 = None 2025-03-21T20:31:49.1316910Z quantized_decomposed_quantize_per_tensor_default_1067: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_26, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_cat_default_26 = None 2025-03-21T20:31:49.1318258Z quantized_decomposed_dequantize_per_tensor_default_1521: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1067, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1067 = None 2025-03-21T20:31:49.1319167Z aten_view_copy_default_117: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1521, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1521 = None 2025-03-21T20:31:49.1320201Z quantized_decomposed_quantize_per_tensor_default_1068: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_117, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_view_copy_default_117 = None 2025-03-21T20:31:49.1320316Z 2025-03-21T20:31:49.1320974Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.1322306Z quantized_decomposed_dequantize_per_tensor_default_1522: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1068, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1068 = None 2025-03-21T20:31:49.1322404Z 2025-03-21T20:31:49.1323120Z # 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) 2025-03-21T20:31:49.1324051Z aten_permute_copy_default_265: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1484, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1484 = None 2025-03-21T20:31:49.1325175Z quantized_decomposed_quantize_per_tensor_default_1069: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_265, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_265 = None 2025-03-21T20:31:49.1326493Z quantized_decomposed_dequantize_per_tensor_default_1523: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1069, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1069 = None 2025-03-21T20:31:49.1327349Z aten_select_copy_int_312: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1523, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1523 = None 2025-03-21T20:31:49.1328378Z quantized_decomposed_quantize_per_tensor_default_1070: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_312, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_312 = None 2025-03-21T20:31:49.1329738Z quantized_decomposed_dequantize_per_tensor_default_1524: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1070, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1070 = None 2025-03-21T20:31:49.1330600Z aten_select_copy_int_313: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1524, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1524 = None 2025-03-21T20:31:49.1331661Z quantized_decomposed_quantize_per_tensor_default_1071: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_313, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_313 = None 2025-03-21T20:31:49.1331763Z 2025-03-21T20:31:49.1332849Z # File: .50:3856 in forward, code: dequantize_per_tensor_default_1226 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1226, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1226 = None 2025-03-21T20:31:49.1334168Z quantized_decomposed_dequantize_per_tensor_default_1525: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1071, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1071 = None 2025-03-21T20:31:49.1334286Z 2025-03-21T20:31:49.1335003Z # 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) 2025-03-21T20:31:49.1335941Z aten_permute_copy_default_266: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1483, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1483 = None 2025-03-21T20:31:49.1337009Z quantized_decomposed_quantize_per_tensor_default_1072: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_266, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_266 = None 2025-03-21T20:31:49.1338355Z quantized_decomposed_dequantize_per_tensor_default_1526: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1072, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1072 = None 2025-03-21T20:31:49.1339224Z aten_select_copy_int_314: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1526, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1526 = None 2025-03-21T20:31:49.1340267Z quantized_decomposed_quantize_per_tensor_default_1073: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_314, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_314 = None 2025-03-21T20:31:49.1341593Z quantized_decomposed_dequantize_per_tensor_default_1527: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1073, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1073 = None 2025-03-21T20:31:49.1342481Z aten_select_copy_int_315: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1527, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1527 = None 2025-03-21T20:31:49.1343496Z quantized_decomposed_quantize_per_tensor_default_1074: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_315, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_315 = None 2025-03-21T20:31:49.1343633Z 2025-03-21T20:31:49.1344699Z # File: .50:3865 in forward, code: dequantize_per_tensor_default_1229 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1229, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1229 = None 2025-03-21T20:31:49.1346052Z quantized_decomposed_dequantize_per_tensor_default_1528: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1074, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1074 = None 2025-03-21T20:31:49.1346151Z 2025-03-21T20:31:49.1346885Z # 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) 2025-03-21T20:31:49.1347796Z aten_permute_copy_default_267: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1482, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1482 = None 2025-03-21T20:31:49.1348882Z quantized_decomposed_quantize_per_tensor_default_1075: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_267, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_267 = None 2025-03-21T20:31:49.1350209Z quantized_decomposed_dequantize_per_tensor_default_1529: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1075, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1075 = None 2025-03-21T20:31:49.1351062Z aten_select_copy_int_316: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1529, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1529 = None 2025-03-21T20:31:49.1352088Z quantized_decomposed_quantize_per_tensor_default_1076: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_316, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_316 = None 2025-03-21T20:31:49.1353538Z quantized_decomposed_dequantize_per_tensor_default_1530: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1076, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1076 = None 2025-03-21T20:31:49.1354390Z aten_select_copy_int_317: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1530, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1530 = None 2025-03-21T20:31:49.1355413Z quantized_decomposed_quantize_per_tensor_default_1077: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_317, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_317 = None 2025-03-21T20:31:49.1355548Z 2025-03-21T20:31:49.1356611Z # File: .50:3874 in forward, code: dequantize_per_tensor_default_1232 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1232, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1232 = None 2025-03-21T20:31:49.1357943Z quantized_decomposed_dequantize_per_tensor_default_1531: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1077, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1077 = None 2025-03-21T20:31:49.1358066Z 2025-03-21T20:31:49.1358825Z # 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) 2025-03-21T20:31:49.1359748Z aten_permute_copy_default_268: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1481, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1481 = None 2025-03-21T20:31:49.1360836Z quantized_decomposed_quantize_per_tensor_default_1078: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_268, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_268 = None 2025-03-21T20:31:49.1362160Z quantized_decomposed_dequantize_per_tensor_default_1532: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1078, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1078 = None 2025-03-21T20:31:49.1363019Z aten_select_copy_int_318: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1532, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1532 = None 2025-03-21T20:31:49.1364047Z quantized_decomposed_quantize_per_tensor_default_1079: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_318, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_318 = None 2025-03-21T20:31:49.1365382Z quantized_decomposed_dequantize_per_tensor_default_1533: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1079, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1079 = None 2025-03-21T20:31:49.1366220Z aten_select_copy_int_319: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1533, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1533 = None 2025-03-21T20:31:49.1367525Z quantized_decomposed_quantize_per_tensor_default_1080: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_319, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_319 = None 2025-03-21T20:31:49.1367625Z 2025-03-21T20:31:49.1368711Z # File: .50:3883 in forward, code: dequantize_per_tensor_default_1235 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1235, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1235 = None 2025-03-21T20:31:49.1370034Z quantized_decomposed_dequantize_per_tensor_default_1534: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1080, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1080 = None 2025-03-21T20:31:49.1370182Z 2025-03-21T20:31:49.1370901Z # 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) 2025-03-21T20:31:49.1371833Z aten_permute_copy_default_269: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1480, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1480 = None 2025-03-21T20:31:49.1372985Z quantized_decomposed_quantize_per_tensor_default_1081: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_269, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_269 = None 2025-03-21T20:31:49.1374322Z quantized_decomposed_dequantize_per_tensor_default_1535: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1081, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1081 = None 2025-03-21T20:31:49.1375163Z aten_select_copy_int_320: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1535, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1535 = None 2025-03-21T20:31:49.1376204Z quantized_decomposed_quantize_per_tensor_default_1082: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_320, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_320 = None 2025-03-21T20:31:49.1377522Z quantized_decomposed_dequantize_per_tensor_default_1536: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1082, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1082 = None 2025-03-21T20:31:49.1378369Z aten_select_copy_int_321: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1536, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1536 = None 2025-03-21T20:31:49.1379401Z quantized_decomposed_quantize_per_tensor_default_1083: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_321, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_321 = None 2025-03-21T20:31:49.1379500Z 2025-03-21T20:31:49.1380597Z # File: .50:3892 in forward, code: dequantize_per_tensor_default_1238 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1238, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1238 = None 2025-03-21T20:31:49.1381925Z quantized_decomposed_dequantize_per_tensor_default_1537: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1083, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1083 = None 2025-03-21T20:31:49.1382025Z 2025-03-21T20:31:49.1382757Z # 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) 2025-03-21T20:31:49.1383675Z aten_permute_copy_default_270: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1479, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1479 = None 2025-03-21T20:31:49.1384801Z quantized_decomposed_quantize_per_tensor_default_1084: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_270, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_270 = None 2025-03-21T20:31:49.1386166Z quantized_decomposed_dequantize_per_tensor_default_1538: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1084, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1084 = None 2025-03-21T20:31:49.1387035Z aten_select_copy_int_322: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1538, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1538 = None 2025-03-21T20:31:49.1388071Z quantized_decomposed_quantize_per_tensor_default_1085: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_322, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_322 = None 2025-03-21T20:31:49.1389391Z quantized_decomposed_dequantize_per_tensor_default_1539: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1085, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1085 = None 2025-03-21T20:31:49.1390240Z aten_select_copy_int_323: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1539, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1539 = None 2025-03-21T20:31:49.1391267Z quantized_decomposed_quantize_per_tensor_default_1086: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_323, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_323 = None 2025-03-21T20:31:49.1391380Z 2025-03-21T20:31:49.1392455Z # File: .50:3901 in forward, code: dequantize_per_tensor_default_1241 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1241, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1241 = None 2025-03-21T20:31:49.1393862Z quantized_decomposed_dequantize_per_tensor_default_1540: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1086, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1086 = None 2025-03-21T20:31:49.1393963Z 2025-03-21T20:31:49.1394732Z # 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) 2025-03-21T20:31:49.1395646Z aten_permute_copy_default_271: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1478, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1478 = None 2025-03-21T20:31:49.1396745Z quantized_decomposed_quantize_per_tensor_default_1087: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_271, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_271 = None 2025-03-21T20:31:49.1398073Z quantized_decomposed_dequantize_per_tensor_default_1541: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1087, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1087 = None 2025-03-21T20:31:49.1398960Z aten_select_copy_int_324: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1541, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1541 = None 2025-03-21T20:31:49.1400006Z quantized_decomposed_quantize_per_tensor_default_1088: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_324, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_324 = None 2025-03-21T20:31:49.1401365Z quantized_decomposed_dequantize_per_tensor_default_1542: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1088, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1088 = None 2025-03-21T20:31:49.1402196Z aten_select_copy_int_325: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1542, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1542 = None 2025-03-21T20:31:49.1403229Z quantized_decomposed_quantize_per_tensor_default_1089: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_325, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_325 = None 2025-03-21T20:31:49.1403325Z 2025-03-21T20:31:49.1404409Z # File: .50:3910 in forward, code: dequantize_per_tensor_default_1244 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1244, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1244 = None 2025-03-21T20:31:49.1405721Z quantized_decomposed_dequantize_per_tensor_default_1543: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1089, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1089 = None 2025-03-21T20:31:49.1405832Z 2025-03-21T20:31:49.1406549Z # 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) 2025-03-21T20:31:49.1407477Z aten_permute_copy_default_272: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1477, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1477 = None 2025-03-21T20:31:49.1408579Z quantized_decomposed_quantize_per_tensor_default_1090: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_272, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_272 = None 2025-03-21T20:31:49.1409906Z quantized_decomposed_dequantize_per_tensor_default_1544: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1090, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1090 = None 2025-03-21T20:31:49.1410753Z aten_select_copy_int_326: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1544, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1544 = None 2025-03-21T20:31:49.1411815Z quantized_decomposed_quantize_per_tensor_default_1091: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_326, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_326 = None 2025-03-21T20:31:49.1413137Z quantized_decomposed_dequantize_per_tensor_default_1545: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1091, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1091 = None 2025-03-21T20:31:49.1414021Z aten_select_copy_int_327: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1545, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1545 = None 2025-03-21T20:31:49.1415044Z quantized_decomposed_quantize_per_tensor_default_1092: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_327, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_327 = None 2025-03-21T20:31:49.1415142Z 2025-03-21T20:31:49.1416218Z # File: .50:3919 in forward, code: dequantize_per_tensor_default_1247 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1247, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1247 = None 2025-03-21T20:31:49.1417535Z quantized_decomposed_dequantize_per_tensor_default_1546: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1092, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1092 = None 2025-03-21T20:31:49.1417647Z 2025-03-21T20:31:49.1418363Z # 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) 2025-03-21T20:31:49.1419292Z aten_permute_copy_default_273: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1476, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1476 = None 2025-03-21T20:31:49.1420376Z quantized_decomposed_quantize_per_tensor_default_1093: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_273, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_273 = None 2025-03-21T20:31:49.1421733Z quantized_decomposed_dequantize_per_tensor_default_1547: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1093, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1093 = None 2025-03-21T20:31:49.1422572Z aten_select_copy_int_328: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1547, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1547 = None 2025-03-21T20:31:49.1423615Z quantized_decomposed_quantize_per_tensor_default_1094: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_328, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_328 = None 2025-03-21T20:31:49.1424930Z quantized_decomposed_dequantize_per_tensor_default_1548: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1094, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1094 = None 2025-03-21T20:31:49.1425811Z aten_select_copy_int_329: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1548, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1548 = None 2025-03-21T20:31:49.1426825Z quantized_decomposed_quantize_per_tensor_default_1095: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_329, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_329 = None 2025-03-21T20:31:49.1426957Z 2025-03-21T20:31:49.1428040Z # File: .50:3928 in forward, code: dequantize_per_tensor_default_1250 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1250, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1250 = None 2025-03-21T20:31:49.1429369Z quantized_decomposed_dequantize_per_tensor_default_1549: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1095, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1095 = None 2025-03-21T20:31:49.1429466Z 2025-03-21T20:31:49.1430198Z # 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) 2025-03-21T20:31:49.1431113Z aten_permute_copy_default_274: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1475, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1475 = None 2025-03-21T20:31:49.1432209Z quantized_decomposed_quantize_per_tensor_default_1096: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_274, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_274 = None 2025-03-21T20:31:49.1433602Z quantized_decomposed_dequantize_per_tensor_default_1550: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1096, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1096 = None 2025-03-21T20:31:49.1434459Z aten_select_copy_int_330: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1550, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1550 = None 2025-03-21T20:31:49.1435521Z quantized_decomposed_quantize_per_tensor_default_1097: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_330, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_330 = None 2025-03-21T20:31:49.1436848Z quantized_decomposed_dequantize_per_tensor_default_1551: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1097, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1097 = None 2025-03-21T20:31:49.1437681Z aten_select_copy_int_331: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1551, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1551 = None 2025-03-21T20:31:49.1438712Z quantized_decomposed_quantize_per_tensor_default_1098: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_331, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_331 = None 2025-03-21T20:31:49.1438833Z 2025-03-21T20:31:49.1439913Z # File: .50:3937 in forward, code: dequantize_per_tensor_default_1253 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1253, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1253 = None 2025-03-21T20:31:49.1441255Z quantized_decomposed_dequantize_per_tensor_default_1552: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1098, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1098 = None 2025-03-21T20:31:49.1441402Z 2025-03-21T20:31:49.1442118Z # 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) 2025-03-21T20:31:49.1443051Z aten_permute_copy_default_275: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1474, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1474 = None 2025-03-21T20:31:49.1444131Z quantized_decomposed_quantize_per_tensor_default_1099: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_275, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_275 = None 2025-03-21T20:31:49.1445466Z quantized_decomposed_dequantize_per_tensor_default_1553: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1099, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1099 = None 2025-03-21T20:31:49.1446322Z aten_select_copy_int_332: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1553, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1553 = None 2025-03-21T20:31:49.1447338Z quantized_decomposed_quantize_per_tensor_default_1100: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_332, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_332 = None 2025-03-21T20:31:49.1448674Z quantized_decomposed_dequantize_per_tensor_default_1554: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1100, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1100 = None 2025-03-21T20:31:49.1449543Z aten_select_copy_int_333: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1554, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1554 = None 2025-03-21T20:31:49.1450582Z quantized_decomposed_quantize_per_tensor_default_1101: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_333, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_333 = None 2025-03-21T20:31:49.1450681Z 2025-03-21T20:31:49.1451765Z # File: .50:3946 in forward, code: dequantize_per_tensor_default_1256 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1256, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1256 = None 2025-03-21T20:31:49.1453109Z quantized_decomposed_dequantize_per_tensor_default_1555: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1101, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1101 = None 2025-03-21T20:31:49.1453218Z 2025-03-21T20:31:49.1453929Z # 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) 2025-03-21T20:31:49.1454879Z aten_permute_copy_default_276: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1473, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1473 = None 2025-03-21T20:31:49.1456316Z quantized_decomposed_quantize_per_tensor_default_1102: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_276, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_permute_copy_default_276 = None 2025-03-21T20:31:49.1457650Z quantized_decomposed_dequantize_per_tensor_default_1556: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1102, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1102 = None 2025-03-21T20:31:49.1458492Z aten_select_copy_int_334: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1556, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1556 = None 2025-03-21T20:31:49.1459527Z quantized_decomposed_quantize_per_tensor_default_1103: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_334, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_334 = None 2025-03-21T20:31:49.1460841Z quantized_decomposed_dequantize_per_tensor_default_1557: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1103, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1103 = None 2025-03-21T20:31:49.1461695Z aten_select_copy_int_335: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1557, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1557 = None 2025-03-21T20:31:49.1462710Z quantized_decomposed_quantize_per_tensor_default_1104: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_335, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_select_copy_int_335 = None 2025-03-21T20:31:49.1462821Z 2025-03-21T20:31:49.1463935Z # File: .50:3955 in forward, code: dequantize_per_tensor_default_1259 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1259, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1259 = None 2025-03-21T20:31:49.1465254Z quantized_decomposed_dequantize_per_tensor_default_1558: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1104, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1104 = None 2025-03-21T20:31:49.1465354Z 2025-03-21T20:31:49.1466091Z # 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) 2025-03-21T20:31:49.1472716Z aten_cat_default_27: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1525, quantized_decomposed_dequantize_per_tensor_default_1528, quantized_decomposed_dequantize_per_tensor_default_1531, quantized_decomposed_dequantize_per_tensor_default_1534, quantized_decomposed_dequantize_per_tensor_default_1537, quantized_decomposed_dequantize_per_tensor_default_1540, quantized_decomposed_dequantize_per_tensor_default_1543, quantized_decomposed_dequantize_per_tensor_default_1546, quantized_decomposed_dequantize_per_tensor_default_1549, quantized_decomposed_dequantize_per_tensor_default_1552, quantized_decomposed_dequantize_per_tensor_default_1555, quantized_decomposed_dequantize_per_tensor_default_1558]); quantized_decomposed_dequantize_per_tensor_default_1525 = quantized_decomposed_dequantize_per_tensor_default_1528 = quantized_decomposed_dequantize_per_tensor_default_1531 = quantized_decomposed_dequantize_per_tensor_default_1534 = quantized_decomposed_dequantize_per_tensor_default_1537 = quantized_decomposed_dequantize_per_tensor_default_1540 = quantized_decomposed_dequantize_per_tensor_default_1543 = quantized_decomposed_dequantize_per_tensor_default_1546 = quantized_decomposed_dequantize_per_tensor_default_1549 = quantized_decomposed_dequantize_per_tensor_default_1552 = quantized_decomposed_dequantize_per_tensor_default_1555 = quantized_decomposed_dequantize_per_tensor_default_1558 = None 2025-03-21T20:31:49.1473862Z quantized_decomposed_quantize_per_tensor_default_1105: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_27, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_cat_default_27 = None 2025-03-21T20:31:49.1475208Z quantized_decomposed_dequantize_per_tensor_default_1559: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1105, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1105 = None 2025-03-21T20:31:49.1476114Z aten_view_copy_default_118: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1559, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1559 = None 2025-03-21T20:31:49.1477166Z quantized_decomposed_quantize_per_tensor_default_1106: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_118, 0.00011607543274294585, 32773, 0, 65535, torch.int32); aten_view_copy_default_118 = None 2025-03-21T20:31:49.1477282Z 2025-03-21T20:31:49.1478349Z # File: .50:3961 in forward, code: dequantize_per_tensor_default_1261 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1261, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantize_per_tensor_default_1261 = None 2025-03-21T20:31:49.1479740Z quantized_decomposed_dequantize_per_tensor_default_1560: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1106, 0.00011607543274294585, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1106 = None 2025-03-21T20:31:49.1479842Z 2025-03-21T20:31:49.1480921Z # File: .50:3962 in forward, code: quantize_per_tensor_default_1262 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1261, 0.00011609794455580413, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1261 = None 2025-03-21T20:31:49.1482252Z quantized_decomposed_quantize_per_tensor_default_1107: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1560, 0.00011609794455580413, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1560 = None 2025-03-21T20:31:49.1482418Z 2025-03-21T20:31:49.1482952Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.1484284Z quantized_decomposed_dequantize_per_tensor_default_1561: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1107, 0.00011609794455580413, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1107 = None 2025-03-21T20:31:49.1484425Z 2025-03-21T20:31:49.1485007Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:49.1485929Z aten_index_tensor_8: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_133, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_133 = None 2025-03-21T20:31:49.1486920Z quantized_decomposed_quantize_per_tensor_default_1108: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_8, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_8 = None 2025-03-21T20:31:49.1487038Z 2025-03-21T20:31:49.1487583Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.1488913Z quantized_decomposed_dequantize_per_tensor_default_1562: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1108, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1108 = None 2025-03-21T20:31:49.1489016Z 2025-03-21T20:31:49.1489679Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.1490594Z aten_permute_copy_default_277: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1522, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1522 = None 2025-03-21T20:31:49.1491685Z quantized_decomposed_quantize_per_tensor_default_1109: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_277, 0.000468338665086776, 33988, 0, 65535, torch.int32); aten_permute_copy_default_277 = None 2025-03-21T20:31:49.1491785Z 2025-03-21T20:31:49.1492881Z # File: .50:3969 in forward, code: dequantize_per_tensor_default_1264 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1264, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantize_per_tensor_default_1264 = None 2025-03-21T20:31:49.1494209Z quantized_decomposed_dequantize_per_tensor_default_1563: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1109, 0.000468338665086776, 33988, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1109 = None 2025-03-21T20:31:49.1494322Z 2025-03-21T20:31:49.1495381Z # File: .50:3970 in forward, code: quantize_per_tensor_default_1265 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1264, 0.0004857908934354782, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1264 = None 2025-03-21T20:31:49.1496765Z quantized_decomposed_quantize_per_tensor_default_1110: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1563, 0.0004857908934354782, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1563 = None 2025-03-21T20:31:49.1496863Z 2025-03-21T20:31:49.1497566Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.1498915Z quantized_decomposed_dequantize_per_tensor_default_1564: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1110, 0.0004857908934354782, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1110 = None 2025-03-21T20:31:49.1499827Z aten_expand_copy_default_24: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1458, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1458 = None 2025-03-21T20:31:49.1500458Z 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 2025-03-21T20:31:49.1501378Z aten_expand_copy_default_25: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1564, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1564 = None 2025-03-21T20:31:49.1502020Z 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 2025-03-21T20:31:49.1502776Z 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 2025-03-21T20:31:49.1503355Z 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 2025-03-21T20:31:49.1504416Z quantized_decomposed_quantize_per_tensor_default_1111: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_121, 0.004839103203266859, 45381, 0, 65535, torch.int32); aten_view_copy_default_121 = None 2025-03-21T20:31:49.1505757Z quantized_decomposed_dequantize_per_tensor_default_1565: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1111, 0.004839103203266859, 45381, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1111 = None 2025-03-21T20:31:49.1506747Z quantized_decomposed_dequantize_per_tensor_default_1566: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param155, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param155 = None 2025-03-21T20:31:49.1508058Z aten_mul_tensor_100: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1565, quantized_decomposed_dequantize_per_tensor_default_1566); quantized_decomposed_dequantize_per_tensor_default_1565 = quantized_decomposed_dequantize_per_tensor_default_1566 = None 2025-03-21T20:31:49.1509058Z quantized_decomposed_quantize_per_tensor_default_1112: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_100, 0.0006048879004083574, 45381, 0, 65535, torch.int32); aten_mul_tensor_100 = None 2025-03-21T20:31:49.1509184Z 2025-03-21T20:31:49.1509743Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.1511069Z quantized_decomposed_dequantize_per_tensor_default_1567: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1112, 0.0006048879004083574, 45381, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1112 = None 2025-03-21T20:31:49.1512422Z aten_add_tensor_32: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1567, quantized_decomposed_dequantize_per_tensor_default_1562); quantized_decomposed_dequantize_per_tensor_default_1567 = quantized_decomposed_dequantize_per_tensor_default_1562 = None 2025-03-21T20:31:49.1513498Z quantized_decomposed_quantize_per_tensor_default_1113: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_32, 0.004426939878612757, 62781, 0, 65535, torch.int32); aten_add_tensor_32 = None 2025-03-21T20:31:49.1513596Z 2025-03-21T20:31:49.1514233Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:49.1515573Z quantized_decomposed_dequantize_per_tensor_default_1568: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1113, 0.004426939878612757, 62781, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1113 = None 2025-03-21T20:31:49.1516472Z aten__softmax_default_6: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1568, -1, False); quantized_decomposed_dequantize_per_tensor_default_1568 = None 2025-03-21T20:31:49.1517489Z quantized_decomposed_quantize_per_tensor_default_1114: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_6, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_6 = None 2025-03-21T20:31:49.1517602Z 2025-03-21T20:31:49.1518122Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.1519425Z quantized_decomposed_dequantize_per_tensor_default_1569: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1114, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1114 = None 2025-03-21T20:31:49.1520371Z aten_expand_copy_default_26: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1569, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1569 = None 2025-03-21T20:31:49.1521021Z 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 2025-03-21T20:31:49.1521934Z aten_expand_copy_default_27: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1561, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1561 = None 2025-03-21T20:31:49.1522595Z 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 2025-03-21T20:31:49.1523354Z 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 2025-03-21T20:31:49.1523948Z 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 2025-03-21T20:31:49.1525010Z quantized_decomposed_quantize_per_tensor_default_1115: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_124, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_view_copy_default_124 = None 2025-03-21T20:31:49.1525145Z 2025-03-21T20:31:49.1525850Z # 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) 2025-03-21T20:31:49.1527171Z quantized_decomposed_dequantize_per_tensor_default_1570: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1115, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1115 = None 2025-03-21T20:31:49.1528093Z aten_permute_copy_default_278: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1570, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1570 = None 2025-03-21T20:31:49.1529169Z quantized_decomposed_quantize_per_tensor_default_1116: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_278, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_permute_copy_default_278 = None 2025-03-21T20:31:49.1530474Z quantized_decomposed_dequantize_per_tensor_default_1571: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1116, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1116 = None 2025-03-21T20:31:49.1531366Z aten_view_copy_default_125: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1571, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1571 = None 2025-03-21T20:31:49.1532405Z quantized_decomposed_quantize_per_tensor_default_1117: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_125, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_view_copy_default_125 = None 2025-03-21T20:31:49.1532517Z 2025-03-21T20:31:49.1533130Z # 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) 2025-03-21T20:31:49.1534447Z quantized_decomposed_dequantize_per_tensor_default_1572: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1117, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1117 = None 2025-03-21T20:31:49.1535364Z aten_unsqueeze_copy_default_73: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1572, -1); quantized_decomposed_dequantize_per_tensor_default_1572 = None 2025-03-21T20:31:49.1536456Z quantized_decomposed_quantize_per_tensor_default_1118: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_73, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_unsqueeze_copy_default_73 = None 2025-03-21T20:31:49.1536580Z 2025-03-21T20:31:49.1537051Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.1538354Z quantized_decomposed_dequantize_per_tensor_default_1573: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1118, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1118 = None 2025-03-21T20:31:49.1539331Z aten_permute_copy_default_279: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1573, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1573 = None 2025-03-21T20:31:49.1540398Z quantized_decomposed_quantize_per_tensor_default_1119: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_279, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); aten_permute_copy_default_279 = None 2025-03-21T20:31:49.1540509Z 2025-03-21T20:31:49.1540921Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.1542240Z quantized_decomposed_dequantize_per_tensor_default_1574: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1119, 8.035911014303565e-05, 31531, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1119 = None 2025-03-21T20:31:49.1543708Z aten_convolution_default_45: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1574, quantized_decomposed_dequantize_per_tensor_default_59, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1574 = quantized_decomposed_dequantize_per_tensor_default_59 = None 2025-03-21T20:31:49.1544772Z quantized_decomposed_quantize_per_tensor_default_1120: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_45, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); aten_convolution_default_45 = None 2025-03-21T20:31:49.1544874Z 2025-03-21T20:31:49.1545365Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.1546711Z quantized_decomposed_dequantize_per_tensor_default_1575: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1120, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1120 = None 2025-03-21T20:31:49.1547638Z aten_permute_copy_default_280: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1575, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1575 = None 2025-03-21T20:31:49.1548708Z quantized_decomposed_quantize_per_tensor_default_1121: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_280, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); aten_permute_copy_default_280 = None 2025-03-21T20:31:49.1548822Z 2025-03-21T20:31:49.1549431Z # 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]) 2025-03-21T20:31:49.1550825Z quantized_decomposed_dequantize_per_tensor_default_1576: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1121, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1121 = None 2025-03-21T20:31:49.1551709Z aten_squeeze_copy_dims_73: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1576, [-1]); quantized_decomposed_dequantize_per_tensor_default_1576 = None 2025-03-21T20:31:49.1552871Z quantized_decomposed_quantize_per_tensor_default_1122: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_73, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); aten_squeeze_copy_dims_73 = None 2025-03-21T20:31:49.1552978Z 2025-03-21T20:31:49.1553416Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.1554724Z quantized_decomposed_dequantize_per_tensor_default_1577: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1122, 4.686550164478831e-05, 25382, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1122 = None 2025-03-21T20:31:49.1556032Z aten_add_tensor_33: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1397, quantized_decomposed_dequantize_per_tensor_default_1577); quantized_decomposed_dequantize_per_tensor_default_1397 = quantized_decomposed_dequantize_per_tensor_default_1577 = None 2025-03-21T20:31:49.1556990Z quantized_decomposed_quantize_per_tensor_default_1123: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_33, 0.00266623985953629, 5970, 0, 65535, torch.int32); aten_add_tensor_33 = None 2025-03-21T20:31:49.1557110Z 2025-03-21T20:31:49.1557685Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.1558747Z quantized_decomposed_dequantize_per_tensor_default_1578: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1123, 0.00266623985953629, 5970, 0, 65535, torch.int32) 2025-03-21T20:31:49.1560054Z quantized_decomposed_dequantize_per_tensor_default_1579: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1123, 0.00266623985953629, 5970, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1123 = None 2025-03-21T20:31:49.1560686Z aten_pow_tensor_scalar_13: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1579, 2) 2025-03-21T20:31:49.1561205Z 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 2025-03-21T20:31:49.1561720Z 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 2025-03-21T20:31:49.1562197Z 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 2025-03-21T20:31:49.1563188Z aten_mul_tensor_101: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1579, aten_rsqrt_default_13); quantized_decomposed_dequantize_per_tensor_default_1579 = aten_rsqrt_default_13 = None 2025-03-21T20:31:49.1564132Z aten_mul_tensor_102: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_101, quantized_decomposed_dequantize_per_tensor_default_60); aten_mul_tensor_101 = quantized_decomposed_dequantize_per_tensor_default_60 = None 2025-03-21T20:31:49.1565130Z quantized_decomposed_quantize_per_tensor_default_1124: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_102, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_mul_tensor_102 = None 2025-03-21T20:31:49.1565254Z 2025-03-21T20:31:49.1565876Z # 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) 2025-03-21T20:31:49.1567113Z quantized_decomposed_dequantize_per_tensor_default_1580: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1124, 0.0003203543310519308, 20731, 0, 65535, torch.int32) 2025-03-21T20:31:49.1568432Z quantized_decomposed_dequantize_per_tensor_default_1581: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1124, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1124 = None 2025-03-21T20:31:49.1569355Z aten_unsqueeze_copy_default_74: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1581, -1); quantized_decomposed_dequantize_per_tensor_default_1581 = None 2025-03-21T20:31:49.1570445Z quantized_decomposed_quantize_per_tensor_default_1125: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_74, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_unsqueeze_copy_default_74 = None 2025-03-21T20:31:49.1570544Z 2025-03-21T20:31:49.1571015Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.1572336Z quantized_decomposed_dequantize_per_tensor_default_1582: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1125, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1125 = None 2025-03-21T20:31:49.1573264Z aten_permute_copy_default_281: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1582, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1582 = None 2025-03-21T20:31:49.1574395Z quantized_decomposed_quantize_per_tensor_default_1126: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_281, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_permute_copy_default_281 = None 2025-03-21T20:31:49.1574508Z 2025-03-21T20:31:49.1574920Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.1576273Z quantized_decomposed_dequantize_per_tensor_default_1583: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1126, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1126 = None 2025-03-21T20:31:49.1577769Z aten_convolution_default_46: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1583, quantized_decomposed_dequantize_per_tensor_default_61, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1583 = quantized_decomposed_dequantize_per_tensor_default_61 = None 2025-03-21T20:31:49.1578861Z quantized_decomposed_quantize_per_tensor_default_1127: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_46, 0.00019273435464128852, 30017, 0, 65535, torch.int32); aten_convolution_default_46 = None 2025-03-21T20:31:49.1578994Z 2025-03-21T20:31:49.1579482Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.1580843Z quantized_decomposed_dequantize_per_tensor_default_1584: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1127, 0.00019273435464128852, 30017, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1127 = None 2025-03-21T20:31:49.1581783Z aten_permute_copy_default_282: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1584, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1584 = None 2025-03-21T20:31:49.1582862Z quantized_decomposed_quantize_per_tensor_default_1128: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_282, 0.00019273435464128852, 30017, 0, 65535, torch.int32); aten_permute_copy_default_282 = None 2025-03-21T20:31:49.1582975Z 2025-03-21T20:31:49.1583580Z # 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]) 2025-03-21T20:31:49.1584916Z quantized_decomposed_dequantize_per_tensor_default_1585: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1128, 0.00019273435464128852, 30017, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1128 = None 2025-03-21T20:31:49.1585777Z aten_squeeze_copy_dims_74: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1585, [-1]); quantized_decomposed_dequantize_per_tensor_default_1585 = None 2025-03-21T20:31:49.1586829Z quantized_decomposed_quantize_per_tensor_default_1129: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_74, 0.00019273435464128852, 30017, 0, 65535, torch.int32); aten_squeeze_copy_dims_74 = None 2025-03-21T20:31:49.1586927Z 2025-03-21T20:31:49.1587544Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.1588605Z quantized_decomposed_dequantize_per_tensor_default_1586: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1129, 0.00019273435464128852, 30017, 0, 65535, torch.int32) 2025-03-21T20:31:49.1589950Z quantized_decomposed_dequantize_per_tensor_default_1587: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1129, 0.00019273435464128852, 30017, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1129 = None 2025-03-21T20:31:49.1590796Z aten_sigmoid_default_6: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1587); quantized_decomposed_dequantize_per_tensor_default_1587 = None 2025-03-21T20:31:49.1591823Z quantized_decomposed_quantize_per_tensor_default_1130: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_6, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_6 = None 2025-03-21T20:31:49.1593230Z quantized_decomposed_dequantize_per_tensor_default_1588: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1130, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1130 = None 2025-03-21T20:31:49.1594569Z aten_mul_tensor_103: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1586, quantized_decomposed_dequantize_per_tensor_default_1588); quantized_decomposed_dequantize_per_tensor_default_1586 = quantized_decomposed_dequantize_per_tensor_default_1588 = None 2025-03-21T20:31:49.1595555Z quantized_decomposed_quantize_per_tensor_default_1131: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_103, 0.00010859330359380692, 2564, 0, 65535, torch.int32); aten_mul_tensor_103 = None 2025-03-21T20:31:49.1596889Z quantized_decomposed_dequantize_per_tensor_default_1589: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1131, 0.00010859330359380692, 2564, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1131 = None 2025-03-21T20:31:49.1596987Z 2025-03-21T20:31:49.1597587Z # 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) 2025-03-21T20:31:49.1598509Z aten_unsqueeze_copy_default_75: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1580, -1); quantized_decomposed_dequantize_per_tensor_default_1580 = None 2025-03-21T20:31:49.1599615Z quantized_decomposed_quantize_per_tensor_default_1132: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_75, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_unsqueeze_copy_default_75 = None 2025-03-21T20:31:49.1599714Z 2025-03-21T20:31:49.1600186Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.1601531Z quantized_decomposed_dequantize_per_tensor_default_1590: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1132, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1132 = None 2025-03-21T20:31:49.1602458Z aten_permute_copy_default_283: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1590, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1590 = None 2025-03-21T20:31:49.1603527Z quantized_decomposed_quantize_per_tensor_default_1133: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_283, 0.0003203543310519308, 20731, 0, 65535, torch.int32); aten_permute_copy_default_283 = None 2025-03-21T20:31:49.1603639Z 2025-03-21T20:31:49.1604051Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.1605404Z quantized_decomposed_dequantize_per_tensor_default_1591: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1133, 0.0003203543310519308, 20731, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1133 = None 2025-03-21T20:31:49.1606866Z aten_convolution_default_47: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1591, quantized_decomposed_dequantize_per_tensor_default_62, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1591 = quantized_decomposed_dequantize_per_tensor_default_62 = None 2025-03-21T20:31:49.1607998Z quantized_decomposed_quantize_per_tensor_default_1134: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_47, 0.00018771942995954305, 34569, 0, 65535, torch.int32); aten_convolution_default_47 = None 2025-03-21T20:31:49.1608099Z 2025-03-21T20:31:49.1608583Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.1609915Z quantized_decomposed_dequantize_per_tensor_default_1592: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1134, 0.00018771942995954305, 34569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1134 = None 2025-03-21T20:31:49.1610843Z aten_permute_copy_default_284: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1592, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1592 = None 2025-03-21T20:31:49.1611944Z quantized_decomposed_quantize_per_tensor_default_1135: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_284, 0.00018771942995954305, 34569, 0, 65535, torch.int32); aten_permute_copy_default_284 = None 2025-03-21T20:31:49.1612055Z 2025-03-21T20:31:49.1612654Z # 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]) 2025-03-21T20:31:49.1613992Z quantized_decomposed_dequantize_per_tensor_default_1593: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1135, 0.00018771942995954305, 34569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1135 = None 2025-03-21T20:31:49.1614880Z aten_squeeze_copy_dims_75: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1593, [-1]); quantized_decomposed_dequantize_per_tensor_default_1593 = None 2025-03-21T20:31:49.1615945Z quantized_decomposed_quantize_per_tensor_default_1136: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_75, 0.00018771942995954305, 34569, 0, 65535, torch.int32); aten_squeeze_copy_dims_75 = None 2025-03-21T20:31:49.1616044Z 2025-03-21T20:31:49.1616637Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.1617966Z quantized_decomposed_dequantize_per_tensor_default_1594: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1136, 0.00018771942995954305, 34569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1136 = None 2025-03-21T20:31:49.1619305Z aten_mul_tensor_104: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1589, quantized_decomposed_dequantize_per_tensor_default_1594); quantized_decomposed_dequantize_per_tensor_default_1589 = quantized_decomposed_dequantize_per_tensor_default_1594 = None 2025-03-21T20:31:49.1620294Z quantized_decomposed_quantize_per_tensor_default_1137: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_104, 0.00036516462569124997, 41930, 0, 65535, torch.int32); aten_mul_tensor_104 = None 2025-03-21T20:31:49.1620433Z 2025-03-21T20:31:49.1621037Z # 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) 2025-03-21T20:31:49.1622382Z quantized_decomposed_dequantize_per_tensor_default_1595: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1137, 0.00036516462569124997, 41930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1137 = None 2025-03-21T20:31:49.1623306Z aten_unsqueeze_copy_default_76: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1595, -1); quantized_decomposed_dequantize_per_tensor_default_1595 = None 2025-03-21T20:31:49.1624422Z quantized_decomposed_quantize_per_tensor_default_1138: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_76, 0.00036516462569124997, 41930, 0, 65535, torch.int32); aten_unsqueeze_copy_default_76 = None 2025-03-21T20:31:49.1624517Z 2025-03-21T20:31:49.1624985Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.1626315Z quantized_decomposed_dequantize_per_tensor_default_1596: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1138, 0.00036516462569124997, 41930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1138 = None 2025-03-21T20:31:49.1627249Z aten_permute_copy_default_285: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1596, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1596 = None 2025-03-21T20:31:49.1628324Z quantized_decomposed_quantize_per_tensor_default_1139: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_285, 0.00036516462569124997, 41930, 0, 65535, torch.int32); aten_permute_copy_default_285 = None 2025-03-21T20:31:49.1628434Z 2025-03-21T20:31:49.1628868Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.1630215Z quantized_decomposed_dequantize_per_tensor_default_1597: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1139, 0.00036516462569124997, 41930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1139 = None 2025-03-21T20:31:49.1631674Z aten_convolution_default_48: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1597, quantized_decomposed_dequantize_per_tensor_default_63, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1597 = quantized_decomposed_dequantize_per_tensor_default_63 = None 2025-03-21T20:31:49.1632862Z quantized_decomposed_quantize_per_tensor_default_1140: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_48, 0.0002038518141489476, 13251, 0, 65535, torch.int32); aten_convolution_default_48 = None 2025-03-21T20:31:49.1632977Z 2025-03-21T20:31:49.1633449Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.1634817Z quantized_decomposed_dequantize_per_tensor_default_1598: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1140, 0.0002038518141489476, 13251, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1140 = None 2025-03-21T20:31:49.1635740Z aten_permute_copy_default_286: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1598, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1598 = None 2025-03-21T20:31:49.1636824Z quantized_decomposed_quantize_per_tensor_default_1141: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_286, 0.0002038518141489476, 13251, 0, 65535, torch.int32); aten_permute_copy_default_286 = None 2025-03-21T20:31:49.1636925Z 2025-03-21T20:31:49.1637525Z # 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]) 2025-03-21T20:31:49.1638856Z quantized_decomposed_dequantize_per_tensor_default_1599: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1141, 0.0002038518141489476, 13251, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1141 = None 2025-03-21T20:31:49.1639738Z aten_squeeze_copy_dims_76: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1599, [-1]); quantized_decomposed_dequantize_per_tensor_default_1599 = None 2025-03-21T20:31:49.1640864Z quantized_decomposed_quantize_per_tensor_default_1142: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_76, 0.0002038518141489476, 13251, 0, 65535, torch.int32); aten_squeeze_copy_dims_76 = None 2025-03-21T20:31:49.1641009Z 2025-03-21T20:31:49.1641854Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.1643253Z quantized_decomposed_dequantize_per_tensor_default_1600: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1142, 0.0002038518141489476, 13251, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1142 = None 2025-03-21T20:31:49.1650775Z aten_add_tensor_34: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1578, quantized_decomposed_dequantize_per_tensor_default_1600); quantized_decomposed_dequantize_per_tensor_default_1578 = quantized_decomposed_dequantize_per_tensor_default_1600 = None 2025-03-21T20:31:49.1651847Z quantized_decomposed_quantize_per_tensor_default_1143: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_34, 0.002665344625711441, 5896, 0, 65535, torch.int32); aten_add_tensor_34 = None 2025-03-21T20:31:49.1652040Z 2025-03-21T20:31:49.1652483Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.1653531Z quantized_decomposed_dequantize_per_tensor_default_1601: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1143, 0.002665344625711441, 5896, 0, 65535, torch.int32) 2025-03-21T20:31:49.1653634Z 2025-03-21T20:31:49.1654328Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:49.1655665Z quantized_decomposed_dequantize_per_tensor_default_1602: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1143, 0.002665344625711441, 5896, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1143 = None 2025-03-21T20:31:49.1656275Z aten_pow_tensor_scalar_14: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1602, 2) 2025-03-21T20:31:49.1656790Z 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 2025-03-21T20:31:49.1657307Z 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 2025-03-21T20:31:49.1657783Z 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 2025-03-21T20:31:49.1658782Z aten_mul_tensor_105: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1602, aten_rsqrt_default_14); quantized_decomposed_dequantize_per_tensor_default_1602 = aten_rsqrt_default_14 = None 2025-03-21T20:31:49.1659713Z aten_mul_tensor_106: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_105, quantized_decomposed_dequantize_per_tensor_default_64); aten_mul_tensor_105 = quantized_decomposed_dequantize_per_tensor_default_64 = None 2025-03-21T20:31:49.1660707Z quantized_decomposed_quantize_per_tensor_default_1144: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_106, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_mul_tensor_106 = None 2025-03-21T20:31:49.1660806Z 2025-03-21T20:31:49.1661411Z # 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) 2025-03-21T20:31:49.1662495Z quantized_decomposed_dequantize_per_tensor_default_1603: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1144, 0.0004271493526175618, 31257, 0, 65535, torch.int32) 2025-03-21T20:31:49.1663557Z quantized_decomposed_dequantize_per_tensor_default_1604: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1144, 0.0004271493526175618, 31257, 0, 65535, torch.int32) 2025-03-21T20:31:49.1664864Z quantized_decomposed_dequantize_per_tensor_default_1605: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1144, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1144 = None 2025-03-21T20:31:49.1665803Z aten_unsqueeze_copy_default_77: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1605, -1); quantized_decomposed_dequantize_per_tensor_default_1605 = None 2025-03-21T20:31:49.1667200Z quantized_decomposed_quantize_per_tensor_default_1145: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_77, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_unsqueeze_copy_default_77 = None 2025-03-21T20:31:49.1667392Z 2025-03-21T20:31:49.1667850Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.1669219Z quantized_decomposed_dequantize_per_tensor_default_1606: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1145, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1145 = None 2025-03-21T20:31:49.1670132Z aten_permute_copy_default_287: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1606, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1606 = None 2025-03-21T20:31:49.1671221Z quantized_decomposed_quantize_per_tensor_default_1146: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_287, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_permute_copy_default_287 = None 2025-03-21T20:31:49.1671320Z 2025-03-21T20:31:49.1671745Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.1673190Z quantized_decomposed_dequantize_per_tensor_default_1607: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1146, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1146 = None 2025-03-21T20:31:49.1674662Z aten_convolution_default_49: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1607, quantized_decomposed_dequantize_per_tensor_default_65, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1607 = quantized_decomposed_dequantize_per_tensor_default_65 = None 2025-03-21T20:31:49.1675746Z quantized_decomposed_quantize_per_tensor_default_1147: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_49, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_convolution_default_49 = None 2025-03-21T20:31:49.1675845Z 2025-03-21T20:31:49.1676321Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.1677747Z quantized_decomposed_dequantize_per_tensor_default_1608: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1147, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1147 = None 2025-03-21T20:31:49.1678663Z aten_permute_copy_default_288: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1608, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1608 = None 2025-03-21T20:31:49.1679739Z quantized_decomposed_quantize_per_tensor_default_1148: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_288, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_permute_copy_default_288 = None 2025-03-21T20:31:49.1679883Z 2025-03-21T20:31:49.1680491Z # 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]) 2025-03-21T20:31:49.1681811Z quantized_decomposed_dequantize_per_tensor_default_1609: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1148, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1148 = None 2025-03-21T20:31:49.1682734Z aten_squeeze_copy_dims_77: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1609, [-1]); quantized_decomposed_dequantize_per_tensor_default_1609 = None 2025-03-21T20:31:49.1683782Z quantized_decomposed_quantize_per_tensor_default_1149: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_77, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_squeeze_copy_dims_77 = None 2025-03-21T20:31:49.1683881Z 2025-03-21T20:31:49.1684457Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.1685785Z quantized_decomposed_dequantize_per_tensor_default_1610: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1149, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1149 = None 2025-03-21T20:31:49.1685881Z 2025-03-21T20:31:49.1686473Z # 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) 2025-03-21T20:31:49.1687397Z aten_unsqueeze_copy_default_78: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1604, -1); quantized_decomposed_dequantize_per_tensor_default_1604 = None 2025-03-21T20:31:49.1688486Z quantized_decomposed_quantize_per_tensor_default_1150: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_78, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_unsqueeze_copy_default_78 = None 2025-03-21T20:31:49.1688585Z 2025-03-21T20:31:49.1689051Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.1690412Z quantized_decomposed_dequantize_per_tensor_default_1611: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1150, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1150 = None 2025-03-21T20:31:49.1691341Z aten_permute_copy_default_289: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1611, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1611 = None 2025-03-21T20:31:49.1692416Z quantized_decomposed_quantize_per_tensor_default_1151: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_289, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_permute_copy_default_289 = None 2025-03-21T20:31:49.1692527Z 2025-03-21T20:31:49.1692940Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.1694303Z quantized_decomposed_dequantize_per_tensor_default_1612: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1151, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1151 = None 2025-03-21T20:31:49.1695765Z aten_convolution_default_50: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1612, quantized_decomposed_dequantize_per_tensor_default_66, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1612 = quantized_decomposed_dequantize_per_tensor_default_66 = None 2025-03-21T20:31:49.1696898Z quantized_decomposed_quantize_per_tensor_default_1152: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_50, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_convolution_default_50 = None 2025-03-21T20:31:49.1696999Z 2025-03-21T20:31:49.1697487Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.1698797Z quantized_decomposed_dequantize_per_tensor_default_1613: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1152, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1152 = None 2025-03-21T20:31:49.1699721Z aten_permute_copy_default_290: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1613, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1613 = None 2025-03-21T20:31:49.1700798Z quantized_decomposed_quantize_per_tensor_default_1153: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_290, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_permute_copy_default_290 = None 2025-03-21T20:31:49.1700910Z 2025-03-21T20:31:49.1701508Z # 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]) 2025-03-21T20:31:49.1702843Z quantized_decomposed_dequantize_per_tensor_default_1614: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1153, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1153 = None 2025-03-21T20:31:49.1703696Z aten_squeeze_copy_dims_78: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1614, [-1]); quantized_decomposed_dequantize_per_tensor_default_1614 = None 2025-03-21T20:31:49.1704763Z quantized_decomposed_quantize_per_tensor_default_1154: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_78, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_squeeze_copy_dims_78 = None 2025-03-21T20:31:49.1704861Z 2025-03-21T20:31:49.1705465Z # 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) 2025-03-21T20:31:49.1706782Z quantized_decomposed_dequantize_per_tensor_default_1615: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1154, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1154 = None 2025-03-21T20:31:49.1706918Z 2025-03-21T20:31:49.1707502Z # 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) 2025-03-21T20:31:49.1708440Z aten_unsqueeze_copy_default_79: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1603, -1); quantized_decomposed_dequantize_per_tensor_default_1603 = None 2025-03-21T20:31:49.1709537Z quantized_decomposed_quantize_per_tensor_default_1155: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_79, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_unsqueeze_copy_default_79 = None 2025-03-21T20:31:49.1709649Z 2025-03-21T20:31:49.1710128Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.1711472Z quantized_decomposed_dequantize_per_tensor_default_1616: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1155, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1155 = None 2025-03-21T20:31:49.1712378Z aten_permute_copy_default_291: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1616, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1616 = None 2025-03-21T20:31:49.1713570Z quantized_decomposed_quantize_per_tensor_default_1156: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_291, 0.0004271493526175618, 31257, 0, 65535, torch.int32); aten_permute_copy_default_291 = None 2025-03-21T20:31:49.1713673Z 2025-03-21T20:31:49.1714101Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.1715417Z quantized_decomposed_dequantize_per_tensor_default_1617: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1156, 0.0004271493526175618, 31257, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1156 = None 2025-03-21T20:31:49.1716895Z aten_convolution_default_51: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1617, quantized_decomposed_dequantize_per_tensor_default_67, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1617 = quantized_decomposed_dequantize_per_tensor_default_67 = None 2025-03-21T20:31:49.1717993Z quantized_decomposed_quantize_per_tensor_default_1157: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_51, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_convolution_default_51 = None 2025-03-21T20:31:49.1718107Z 2025-03-21T20:31:49.1718581Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.1719919Z quantized_decomposed_dequantize_per_tensor_default_1618: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1157, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1157 = None 2025-03-21T20:31:49.1720826Z aten_permute_copy_default_292: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1618, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1618 = None 2025-03-21T20:31:49.1721943Z quantized_decomposed_quantize_per_tensor_default_1158: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_292, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_292 = None 2025-03-21T20:31:49.1722065Z 2025-03-21T20:31:49.1722678Z # 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]) 2025-03-21T20:31:49.1724011Z quantized_decomposed_dequantize_per_tensor_default_1619: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1158, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1158 = None 2025-03-21T20:31:49.1724882Z aten_squeeze_copy_dims_79: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1619, [-1]); quantized_decomposed_dequantize_per_tensor_default_1619 = None 2025-03-21T20:31:49.1725912Z quantized_decomposed_quantize_per_tensor_default_1159: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_79, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_squeeze_copy_dims_79 = None 2025-03-21T20:31:49.1726024Z 2025-03-21T20:31:49.1726611Z # 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) 2025-03-21T20:31:49.1727939Z quantized_decomposed_dequantize_per_tensor_default_1620: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1159, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1159 = None 2025-03-21T20:31:49.1728038Z 2025-03-21T20:31:49.1728630Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.1729504Z aten_view_copy_default_126: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1610, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1610 = None 2025-03-21T20:31:49.1730552Z quantized_decomposed_quantize_per_tensor_default_1160: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_126, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_view_copy_default_126 = None 2025-03-21T20:31:49.1730650Z 2025-03-21T20:31:49.1731750Z # File: .50:4129 in forward, code: dequantize_per_tensor_default_1316 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1316, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantize_per_tensor_default_1316 = None 2025-03-21T20:31:49.1733064Z quantized_decomposed_dequantize_per_tensor_default_1621: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1160, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1160 = None 2025-03-21T20:31:49.1733178Z 2025-03-21T20:31:49.1733765Z # 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) 2025-03-21T20:31:49.1734674Z aten_view_copy_default_127: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1615, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1615 = None 2025-03-21T20:31:49.1735705Z quantized_decomposed_quantize_per_tensor_default_1161: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_127, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_view_copy_default_127 = None 2025-03-21T20:31:49.1735840Z 2025-03-21T20:31:49.1736927Z # File: .50:4132 in forward, code: dequantize_per_tensor_default_1317 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1317, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantize_per_tensor_default_1317 = None 2025-03-21T20:31:49.1738254Z quantized_decomposed_dequantize_per_tensor_default_1622: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1161, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1161 = None 2025-03-21T20:31:49.1738350Z 2025-03-21T20:31:49.1738946Z # 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) 2025-03-21T20:31:49.1739821Z aten_view_copy_default_128: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1620, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1620 = None 2025-03-21T20:31:49.1740870Z quantized_decomposed_quantize_per_tensor_default_1162: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_128, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_view_copy_default_128 = None 2025-03-21T20:31:49.1740970Z 2025-03-21T20:31:49.1741733Z # 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) 2025-03-21T20:31:49.1743038Z quantized_decomposed_dequantize_per_tensor_default_1623: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1162, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1162 = None 2025-03-21T20:31:49.1743149Z 2025-03-21T20:31:49.1744007Z # File: .50:4137 in forward, code: quantize_per_tensor_default_1319 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_14, 0.00033543823519721627, 30157, 0, 65535, torch.int32); _to_copy_14 = None 2025-03-21T20:31:49.1745351Z quantized_decomposed_quantize_per_tensor_default_1163: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1621, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1621 = None 2025-03-21T20:31:49.1745450Z 2025-03-21T20:31:49.1746044Z # 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) 2025-03-21T20:31:49.1747366Z quantized_decomposed_dequantize_per_tensor_default_1624: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1163, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1163 = None 2025-03-21T20:31:49.1748286Z aten_view_copy_default_129: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1624, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1624 = None 2025-03-21T20:31:49.1749323Z quantized_decomposed_quantize_per_tensor_default_1164: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_129, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_view_copy_default_129 = None 2025-03-21T20:31:49.1750694Z quantized_decomposed_dequantize_per_tensor_default_1625: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1164, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1164 = None 2025-03-21T20:31:49.1751301Z aten_slice_copy_tensor_28: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1625, 4, 0, 1) 2025-03-21T20:31:49.1752167Z aten_slice_copy_tensor_29: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1625, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1625 = None 2025-03-21T20:31:49.1752749Z 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 2025-03-21T20:31:49.1753455Z 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 2025-03-21T20:31:49.1754489Z quantized_decomposed_quantize_per_tensor_default_1165: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_80, 0.00033543823519721627, 30157, 0, 65535, torch.int32); aten_squeeze_copy_dims_80 = None 2025-03-21T20:31:49.1754601Z 2025-03-21T20:31:49.1755138Z # 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 2025-03-21T20:31:49.1756207Z quantized_decomposed_dequantize_per_tensor_default_1626: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1165, 0.00033543823519721627, 30157, 0, 65535, torch.int32) 2025-03-21T20:31:49.1756305Z 2025-03-21T20:31:49.1756840Z # 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 2025-03-21T20:31:49.1758201Z quantized_decomposed_dequantize_per_tensor_default_1627: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1165, 0.00033543823519721627, 30157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1165 = None 2025-03-21T20:31:49.1758301Z 2025-03-21T20:31:49.1758902Z # 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) 2025-03-21T20:31:49.1759940Z quantized_decomposed_quantize_per_tensor_default_1166: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_81, 0.00027173387934453785, 36672, 0, 65535, torch.int32); aten_squeeze_copy_dims_81 = None 2025-03-21T20:31:49.1760057Z 2025-03-21T20:31:49.1760587Z # 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 2025-03-21T20:31:49.1761683Z quantized_decomposed_dequantize_per_tensor_default_1628: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1166, 0.00027173387934453785, 36672, 0, 65535, torch.int32) 2025-03-21T20:31:49.1761782Z 2025-03-21T20:31:49.1762317Z # 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 2025-03-21T20:31:49.1763672Z quantized_decomposed_dequantize_per_tensor_default_1629: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1166, 0.00027173387934453785, 36672, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1166 = None 2025-03-21T20:31:49.1763783Z 2025-03-21T20:31:49.1764644Z # File: .50:4152 in forward, code: quantize_per_tensor_default_1323 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_15, 0.00040363334119319916, 34283, 0, 65535, torch.int32); _to_copy_15 = None 2025-03-21T20:31:49.1765966Z quantized_decomposed_quantize_per_tensor_default_1167: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1622, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1622 = None 2025-03-21T20:31:49.1766066Z 2025-03-21T20:31:49.1766840Z # 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) 2025-03-21T20:31:49.1768157Z quantized_decomposed_dequantize_per_tensor_default_1630: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1167, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1167 = None 2025-03-21T20:31:49.1769051Z aten_view_copy_default_130: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1630, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1630 = None 2025-03-21T20:31:49.1770081Z quantized_decomposed_quantize_per_tensor_default_1168: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_130, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_view_copy_default_130 = None 2025-03-21T20:31:49.1771493Z quantized_decomposed_dequantize_per_tensor_default_1631: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1168, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1168 = None 2025-03-21T20:31:49.1772104Z aten_slice_copy_tensor_30: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1631, 4, 0, 1) 2025-03-21T20:31:49.1772977Z aten_slice_copy_tensor_31: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1631, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1631 = None 2025-03-21T20:31:49.1773567Z 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 2025-03-21T20:31:49.1774167Z 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 2025-03-21T20:31:49.1775234Z quantized_decomposed_quantize_per_tensor_default_1169: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_82, 0.00040363334119319916, 34283, 0, 65535, torch.int32); aten_squeeze_copy_dims_82 = None 2025-03-21T20:31:49.1775388Z 2025-03-21T20:31:49.1775925Z # 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 2025-03-21T20:31:49.1777025Z quantized_decomposed_dequantize_per_tensor_default_1632: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1169, 0.00040363334119319916, 34283, 0, 65535, torch.int32) 2025-03-21T20:31:49.1777126Z 2025-03-21T20:31:49.1777679Z # 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 2025-03-21T20:31:49.1778987Z quantized_decomposed_dequantize_per_tensor_default_1633: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1169, 0.00040363334119319916, 34283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1169 = None 2025-03-21T20:31:49.1779102Z 2025-03-21T20:31:49.1779682Z # 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) 2025-03-21T20:31:49.1780728Z quantized_decomposed_quantize_per_tensor_default_1170: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_83, 0.00034802465233951807, 38786, 0, 65535, torch.int32); aten_squeeze_copy_dims_83 = None 2025-03-21T20:31:49.1780830Z 2025-03-21T20:31:49.1781377Z # 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 2025-03-21T20:31:49.1782417Z quantized_decomposed_dequantize_per_tensor_default_1634: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1170, 0.00034802465233951807, 38786, 0, 65535, torch.int32) 2025-03-21T20:31:49.1782520Z 2025-03-21T20:31:49.1783066Z # 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 2025-03-21T20:31:49.1784403Z quantized_decomposed_dequantize_per_tensor_default_1635: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1170, 0.00034802465233951807, 38786, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1170 = None 2025-03-21T20:31:49.1784517Z 2025-03-21T20:31:49.1785009Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.1785884Z aten_view_copy_default_131: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_155, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_155 = None 2025-03-21T20:31:49.1786912Z quantized_decomposed_quantize_per_tensor_default_1171: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_131, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_131 = None 2025-03-21T20:31:49.1787054Z 2025-03-21T20:31:49.1787587Z # 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 2025-03-21T20:31:49.1788643Z quantized_decomposed_dequantize_per_tensor_default_1636: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1171, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.1788766Z 2025-03-21T20:31:49.1789312Z # 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 2025-03-21T20:31:49.1790388Z quantized_decomposed_dequantize_per_tensor_default_1637: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1171, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.1790503Z 2025-03-21T20:31:49.1791027Z # 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 2025-03-21T20:31:49.1792078Z quantized_decomposed_dequantize_per_tensor_default_1638: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1171, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.1792177Z 2025-03-21T20:31:49.1792701Z # 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 2025-03-21T20:31:49.1794122Z quantized_decomposed_dequantize_per_tensor_default_1639: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1171, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1171 = None 2025-03-21T20:31:49.1794224Z 2025-03-21T20:31:49.1794731Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.1795589Z aten_view_copy_default_132: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_167, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_167 = None 2025-03-21T20:31:49.1796639Z quantized_decomposed_quantize_per_tensor_default_1172: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_132, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_132 = None 2025-03-21T20:31:49.1796735Z 2025-03-21T20:31:49.1797281Z # 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 2025-03-21T20:31:49.1798360Z quantized_decomposed_dequantize_per_tensor_default_1640: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1172, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.1798471Z 2025-03-21T20:31:49.1799002Z # 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 2025-03-21T20:31:49.1800066Z quantized_decomposed_dequantize_per_tensor_default_1641: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1172, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.1800189Z 2025-03-21T20:31:49.1800731Z # 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 2025-03-21T20:31:49.1801773Z quantized_decomposed_dequantize_per_tensor_default_1642: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1172, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.1801907Z 2025-03-21T20:31:49.1802431Z # 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 2025-03-21T20:31:49.1803771Z quantized_decomposed_dequantize_per_tensor_default_1643: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1172, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1172 = None 2025-03-21T20:31:49.1803870Z 2025-03-21T20:31:49.1804409Z # 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 2025-03-21T20:31:49.1805694Z aten_mul_tensor_107: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1627, quantized_decomposed_dequantize_per_tensor_default_1639); quantized_decomposed_dequantize_per_tensor_default_1627 = quantized_decomposed_dequantize_per_tensor_default_1639 = None 2025-03-21T20:31:49.1806682Z quantized_decomposed_quantize_per_tensor_default_1173: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_107, 0.0003348104073666036, 30213, 0, 65535, torch.int32); aten_mul_tensor_107 = None 2025-03-21T20:31:49.1807996Z quantized_decomposed_dequantize_per_tensor_default_1644: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1173, 0.0003348104073666036, 30213, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1173 = None 2025-03-21T20:31:49.1809299Z aten_mul_tensor_108: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1628, quantized_decomposed_dequantize_per_tensor_default_1642); quantized_decomposed_dequantize_per_tensor_default_1628 = quantized_decomposed_dequantize_per_tensor_default_1642 = None 2025-03-21T20:31:49.1810276Z quantized_decomposed_quantize_per_tensor_default_1174: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_108, 0.0001602927513886243, 36040, 0, 65535, torch.int32); aten_mul_tensor_108 = None 2025-03-21T20:31:49.1811626Z quantized_decomposed_dequantize_per_tensor_default_1645: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1174, 0.0001602927513886243, 36040, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1174 = None 2025-03-21T20:31:49.1812916Z aten_sub_tensor_14: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1644, quantized_decomposed_dequantize_per_tensor_default_1645); quantized_decomposed_dequantize_per_tensor_default_1644 = quantized_decomposed_dequantize_per_tensor_default_1645 = None 2025-03-21T20:31:49.1813897Z quantized_decomposed_quantize_per_tensor_default_1175: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_14, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_sub_tensor_14 = None 2025-03-21T20:31:49.1814017Z 2025-03-21T20:31:49.1815100Z # File: .50:4186 in forward, code: dequantize_per_tensor_default_1331 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1331, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantize_per_tensor_default_1331 = None 2025-03-21T20:31:49.1816408Z quantized_decomposed_dequantize_per_tensor_default_1646: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1175, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1175 = None 2025-03-21T20:31:49.1816542Z 2025-03-21T20:31:49.1817112Z # 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 2025-03-21T20:31:49.1818421Z aten_mul_tensor_109: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1626, quantized_decomposed_dequantize_per_tensor_default_1643); quantized_decomposed_dequantize_per_tensor_default_1626 = quantized_decomposed_dequantize_per_tensor_default_1643 = None 2025-03-21T20:31:49.1819400Z quantized_decomposed_quantize_per_tensor_default_1176: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_109, 0.00014775632007513195, 30678, 0, 65535, torch.int32); aten_mul_tensor_109 = None 2025-03-21T20:31:49.1820729Z quantized_decomposed_dequantize_per_tensor_default_1647: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1176, 0.00014775632007513195, 30678, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1176 = None 2025-03-21T20:31:49.1822026Z aten_mul_tensor_110: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1629, quantized_decomposed_dequantize_per_tensor_default_1638); quantized_decomposed_dequantize_per_tensor_default_1629 = quantized_decomposed_dequantize_per_tensor_default_1638 = None 2025-03-21T20:31:49.1823014Z quantized_decomposed_quantize_per_tensor_default_1177: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_110, 0.000265473616309464, 35993, 0, 65535, torch.int32); aten_mul_tensor_110 = None 2025-03-21T20:31:49.1824332Z quantized_decomposed_dequantize_per_tensor_default_1648: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1177, 0.000265473616309464, 35993, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1177 = None 2025-03-21T20:31:49.1825652Z aten_add_tensor_35: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1647, quantized_decomposed_dequantize_per_tensor_default_1648); quantized_decomposed_dequantize_per_tensor_default_1647 = quantized_decomposed_dequantize_per_tensor_default_1648 = None 2025-03-21T20:31:49.1826635Z quantized_decomposed_quantize_per_tensor_default_1178: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_35, 0.0002655599091667682, 35943, 0, 65535, torch.int32); aten_add_tensor_35 = None 2025-03-21T20:31:49.1826736Z 2025-03-21T20:31:49.1827815Z # File: .50:4195 in forward, code: dequantize_per_tensor_default_1334 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1334, 0.0002655599091667682, 35943, 0, 65535, torch.int32); quantize_per_tensor_default_1334 = None 2025-03-21T20:31:49.1829147Z quantized_decomposed_dequantize_per_tensor_default_1649: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1178, 0.0002655599091667682, 35943, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1178 = None 2025-03-21T20:31:49.1829257Z 2025-03-21T20:31:49.1829792Z # 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 2025-03-21T20:31:49.1831172Z aten_mul_tensor_111: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1633, quantized_decomposed_dequantize_per_tensor_default_1637); quantized_decomposed_dequantize_per_tensor_default_1633 = quantized_decomposed_dequantize_per_tensor_default_1637 = None 2025-03-21T20:31:49.1832148Z quantized_decomposed_quantize_per_tensor_default_1179: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_111, 0.0004010801203548908, 34212, 0, 65535, torch.int32); aten_mul_tensor_111 = None 2025-03-21T20:31:49.1833567Z quantized_decomposed_dequantize_per_tensor_default_1650: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1179, 0.0004010801203548908, 34212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1179 = None 2025-03-21T20:31:49.1834865Z aten_mul_tensor_112: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1634, quantized_decomposed_dequantize_per_tensor_default_1640); quantized_decomposed_dequantize_per_tensor_default_1634 = quantized_decomposed_dequantize_per_tensor_default_1640 = None 2025-03-21T20:31:49.1835865Z quantized_decomposed_quantize_per_tensor_default_1180: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_112, 0.0001895799214253202, 36365, 0, 65535, torch.int32); aten_mul_tensor_112 = None 2025-03-21T20:31:49.1837158Z quantized_decomposed_dequantize_per_tensor_default_1651: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1180, 0.0001895799214253202, 36365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1180 = None 2025-03-21T20:31:49.1838456Z aten_sub_tensor_15: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1650, quantized_decomposed_dequantize_per_tensor_default_1651); quantized_decomposed_dequantize_per_tensor_default_1650 = quantized_decomposed_dequantize_per_tensor_default_1651 = None 2025-03-21T20:31:49.1839457Z quantized_decomposed_quantize_per_tensor_default_1181: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_15, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_sub_tensor_15 = None 2025-03-21T20:31:49.1839573Z 2025-03-21T20:31:49.1840631Z # File: .50:4204 in forward, code: dequantize_per_tensor_default_1337 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1337, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1337 = None 2025-03-21T20:31:49.1841972Z quantized_decomposed_dequantize_per_tensor_default_1652: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1181, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1181 = None 2025-03-21T20:31:49.1842097Z 2025-03-21T20:31:49.1842648Z # 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 2025-03-21T20:31:49.1843939Z aten_mul_tensor_113: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1632, quantized_decomposed_dequantize_per_tensor_default_1641); quantized_decomposed_dequantize_per_tensor_default_1632 = quantized_decomposed_dequantize_per_tensor_default_1641 = None 2025-03-21T20:31:49.1844956Z quantized_decomposed_quantize_per_tensor_default_1182: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_113, 0.00017923355335369706, 34002, 0, 65535, torch.int32); aten_mul_tensor_113 = None 2025-03-21T20:31:49.1846296Z quantized_decomposed_dequantize_per_tensor_default_1653: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1182, 0.00017923355335369706, 34002, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1182 = None 2025-03-21T20:31:49.1847604Z aten_mul_tensor_114: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1635, quantized_decomposed_dequantize_per_tensor_default_1636); quantized_decomposed_dequantize_per_tensor_default_1635 = quantized_decomposed_dequantize_per_tensor_default_1636 = None 2025-03-21T20:31:49.1848597Z quantized_decomposed_quantize_per_tensor_default_1183: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_114, 0.00034465600037947297, 38891, 0, 65535, torch.int32); aten_mul_tensor_114 = None 2025-03-21T20:31:49.1849906Z quantized_decomposed_dequantize_per_tensor_default_1654: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1183, 0.00034465600037947297, 38891, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1183 = None 2025-03-21T20:31:49.1851210Z aten_add_tensor_36: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1653, quantized_decomposed_dequantize_per_tensor_default_1654); quantized_decomposed_dequantize_per_tensor_default_1653 = quantized_decomposed_dequantize_per_tensor_default_1654 = None 2025-03-21T20:31:49.1852178Z quantized_decomposed_quantize_per_tensor_default_1184: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_36, 0.0003462613676674664, 38962, 0, 65535, torch.int32); aten_add_tensor_36 = None 2025-03-21T20:31:49.1852292Z 2025-03-21T20:31:49.1853380Z # File: .50:4213 in forward, code: dequantize_per_tensor_default_1340 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1340, 0.0003462613676674664, 38962, 0, 65535, torch.int32); quantize_per_tensor_default_1340 = None 2025-03-21T20:31:49.1854699Z quantized_decomposed_dequantize_per_tensor_default_1655: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1184, 0.0003462613676674664, 38962, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1184 = None 2025-03-21T20:31:49.1854801Z 2025-03-21T20:31:49.1855395Z # 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) 2025-03-21T20:31:49.1856308Z aten_unsqueeze_copy_default_80: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1646, 4); quantized_decomposed_dequantize_per_tensor_default_1646 = None 2025-03-21T20:31:49.1857244Z aten_unsqueeze_copy_default_81: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1649, 4); quantized_decomposed_dequantize_per_tensor_default_1649 = None 2025-03-21T20:31:49.1858105Z 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 2025-03-21T20:31:49.1859130Z quantized_decomposed_quantize_per_tensor_default_1185: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_28, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_cat_default_28 = None 2025-03-21T20:31:49.1860458Z quantized_decomposed_dequantize_per_tensor_default_1656: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1185, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1185 = None 2025-03-21T20:31:49.1861334Z aten_view_copy_default_133: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1656, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1656 = None 2025-03-21T20:31:49.1862371Z quantized_decomposed_quantize_per_tensor_default_1186: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_133, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_view_copy_default_133 = None 2025-03-21T20:31:49.1862481Z 2025-03-21T20:31:49.1863539Z # File: .50:4219 in forward, code: dequantize_per_tensor_default_1342 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1342, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantize_per_tensor_default_1342 = None 2025-03-21T20:31:49.1864857Z quantized_decomposed_dequantize_per_tensor_default_1657: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1186, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1186 = None 2025-03-21T20:31:49.1864957Z 2025-03-21T20:31:49.1865557Z # 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) 2025-03-21T20:31:49.1866485Z aten_unsqueeze_copy_default_82: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1652, 4); quantized_decomposed_dequantize_per_tensor_default_1652 = None 2025-03-21T20:31:49.1867590Z aten_unsqueeze_copy_default_83: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1655, 4); quantized_decomposed_dequantize_per_tensor_default_1655 = None 2025-03-21T20:31:49.1868425Z 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 2025-03-21T20:31:49.1869434Z quantized_decomposed_quantize_per_tensor_default_1187: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_29, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_cat_default_29 = None 2025-03-21T20:31:49.1870810Z quantized_decomposed_dequantize_per_tensor_default_1658: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1187, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1187 = None 2025-03-21T20:31:49.1871749Z aten_view_copy_default_134: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1658, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1658 = None 2025-03-21T20:31:49.1872905Z quantized_decomposed_quantize_per_tensor_default_1188: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_134, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_view_copy_default_134 = None 2025-03-21T20:31:49.1873020Z 2025-03-21T20:31:49.1874072Z # File: .50:4225 in forward, code: dequantize_per_tensor_default_1344 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1344, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1344 = None 2025-03-21T20:31:49.1875409Z quantized_decomposed_dequantize_per_tensor_default_1659: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1188, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1188 = None 2025-03-21T20:31:49.1875508Z 2025-03-21T20:31:49.1876366Z # File: .50:4227 in forward, code: quantize_per_tensor_default_1345 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_14, 0.0003344771103002131, 30259, 0, 65535, torch.int32); type_as_14 = None 2025-03-21T20:31:49.1877679Z quantized_decomposed_quantize_per_tensor_default_1189: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1657, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1657 = None 2025-03-21T20:31:49.1877791Z 2025-03-21T20:31:49.1878384Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.1879702Z quantized_decomposed_dequantize_per_tensor_default_1660: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1189, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1189 = None 2025-03-21T20:31:49.1879800Z 2025-03-21T20:31:49.1880697Z # File: .50:4230 in forward, code: quantize_per_tensor_default_1346 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_15, 0.00039715005550533533, 34049, 0, 65535, torch.int32); type_as_15 = None 2025-03-21T20:31:49.1882015Z quantized_decomposed_quantize_per_tensor_default_1190: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1659, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1659 = None 2025-03-21T20:31:49.1882127Z 2025-03-21T20:31:49.1882882Z # 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) 2025-03-21T20:31:49.1884238Z quantized_decomposed_dequantize_per_tensor_default_1661: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1190, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1190 = None 2025-03-21T20:31:49.1884336Z 2025-03-21T20:31:49.1884935Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.1885875Z aten_permute_copy_default_293: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1660, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1660 = None 2025-03-21T20:31:49.1887021Z quantized_decomposed_quantize_per_tensor_default_1191: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_293, 0.0003344771103002131, 30259, 0, 65535, torch.int32); aten_permute_copy_default_293 = None 2025-03-21T20:31:49.1887122Z 2025-03-21T20:31:49.1887783Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.1889100Z quantized_decomposed_dequantize_per_tensor_default_1662: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1191, 0.0003344771103002131, 30259, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1191 = None 2025-03-21T20:31:49.1889212Z 2025-03-21T20:31:49.1889959Z # 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) 2025-03-21T20:31:49.1891457Z aten_index_put_default_14: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_134, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1661); quantized_decomposed_dequantize_per_tensor_default_134 = quantized_decomposed_dequantize_per_tensor_default_1661 = None 2025-03-21T20:31:49.1892501Z quantized_decomposed_quantize_per_tensor_default_1192: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_14, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_index_put_default_14 = None 2025-03-21T20:31:49.1892615Z 2025-03-21T20:31:49.1893511Z # File: .50:4237 in forward, code: dequantize_per_tensor_default_1348 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1348, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1894624Z quantized_decomposed_dequantize_per_tensor_default_1663: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1894723Z 2025-03-21T20:31:49.1895455Z # 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) 2025-03-21T20:31:49.1896523Z quantized_decomposed_dequantize_per_tensor_default_1664: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1897628Z quantized_decomposed_dequantize_per_tensor_default_1665: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1898667Z quantized_decomposed_dequantize_per_tensor_default_1666: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1899773Z quantized_decomposed_dequantize_per_tensor_default_1667: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1900856Z quantized_decomposed_dequantize_per_tensor_default_1668: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1901922Z quantized_decomposed_dequantize_per_tensor_default_1669: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1902971Z quantized_decomposed_dequantize_per_tensor_default_1670: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1904044Z quantized_decomposed_dequantize_per_tensor_default_1671: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1905097Z quantized_decomposed_dequantize_per_tensor_default_1672: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1906156Z quantized_decomposed_dequantize_per_tensor_default_1673: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1907212Z quantized_decomposed_dequantize_per_tensor_default_1674: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32) 2025-03-21T20:31:49.1908600Z quantized_decomposed_dequantize_per_tensor_default_1675: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1192, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1192 = None 2025-03-21T20:31:49.1908713Z 2025-03-21T20:31:49.1909467Z # 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) 2025-03-21T20:31:49.1910955Z aten_index_put_default_15: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_135, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1623); quantized_decomposed_dequantize_per_tensor_default_135 = quantized_decomposed_dequantize_per_tensor_default_1623 = None 2025-03-21T20:31:49.1912023Z quantized_decomposed_quantize_per_tensor_default_1193: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_15, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_index_put_default_15 = None 2025-03-21T20:31:49.1912131Z 2025-03-21T20:31:49.1913107Z # File: .50:4252 in forward, code: dequantize_per_tensor_default_1349 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1349, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1914234Z quantized_decomposed_dequantize_per_tensor_default_1676: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1914352Z 2025-03-21T20:31:49.1915076Z # 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) 2025-03-21T20:31:49.1916137Z quantized_decomposed_dequantize_per_tensor_default_1677: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1917205Z quantized_decomposed_dequantize_per_tensor_default_1678: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1918265Z quantized_decomposed_dequantize_per_tensor_default_1679: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1919310Z quantized_decomposed_dequantize_per_tensor_default_1680: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1920377Z quantized_decomposed_dequantize_per_tensor_default_1681: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1921435Z quantized_decomposed_dequantize_per_tensor_default_1682: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1922534Z quantized_decomposed_dequantize_per_tensor_default_1683: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1923591Z quantized_decomposed_dequantize_per_tensor_default_1684: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1924661Z quantized_decomposed_dequantize_per_tensor_default_1685: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1925748Z quantized_decomposed_dequantize_per_tensor_default_1686: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1926817Z quantized_decomposed_dequantize_per_tensor_default_1687: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32) 2025-03-21T20:31:49.1928194Z quantized_decomposed_dequantize_per_tensor_default_1688: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1193, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1193 = None 2025-03-21T20:31:49.1928311Z 2025-03-21T20:31:49.1929027Z # 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) 2025-03-21T20:31:49.1929961Z aten_permute_copy_default_294: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1675, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1675 = None 2025-03-21T20:31:49.1931042Z quantized_decomposed_quantize_per_tensor_default_1194: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_294, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_294 = None 2025-03-21T20:31:49.1932377Z quantized_decomposed_dequantize_per_tensor_default_1689: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1194, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1194 = None 2025-03-21T20:31:49.1933227Z aten_select_copy_int_336: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1689, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1689 = None 2025-03-21T20:31:49.1934271Z quantized_decomposed_quantize_per_tensor_default_1195: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_336, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_336 = None 2025-03-21T20:31:49.1935649Z quantized_decomposed_dequantize_per_tensor_default_1690: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1195, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1195 = None 2025-03-21T20:31:49.1936495Z aten_select_copy_int_337: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1690, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1690 = None 2025-03-21T20:31:49.1937525Z quantized_decomposed_quantize_per_tensor_default_1196: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_337, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_337 = None 2025-03-21T20:31:49.1937625Z 2025-03-21T20:31:49.1938708Z # File: .50:4273 in forward, code: dequantize_per_tensor_default_1352 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1352, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1352 = None 2025-03-21T20:31:49.1940057Z quantized_decomposed_dequantize_per_tensor_default_1691: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1196, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1196 = None 2025-03-21T20:31:49.1940195Z 2025-03-21T20:31:49.1940906Z # 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) 2025-03-21T20:31:49.1941848Z aten_permute_copy_default_295: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1674, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1674 = None 2025-03-21T20:31:49.1942927Z quantized_decomposed_quantize_per_tensor_default_1197: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_295, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_295 = None 2025-03-21T20:31:49.1944260Z quantized_decomposed_dequantize_per_tensor_default_1692: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1197, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1197 = None 2025-03-21T20:31:49.1945111Z aten_select_copy_int_338: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1692, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1692 = None 2025-03-21T20:31:49.1946159Z quantized_decomposed_quantize_per_tensor_default_1198: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_338, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_338 = None 2025-03-21T20:31:49.1947473Z quantized_decomposed_dequantize_per_tensor_default_1693: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1198, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1198 = None 2025-03-21T20:31:49.1948335Z aten_select_copy_int_339: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1693, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1693 = None 2025-03-21T20:31:49.1949378Z quantized_decomposed_quantize_per_tensor_default_1199: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_339, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_339 = None 2025-03-21T20:31:49.1949490Z 2025-03-21T20:31:49.1950546Z # File: .50:4282 in forward, code: dequantize_per_tensor_default_1355 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1355, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1355 = None 2025-03-21T20:31:49.1951876Z quantized_decomposed_dequantize_per_tensor_default_1694: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1199, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1199 = None 2025-03-21T20:31:49.1951972Z 2025-03-21T20:31:49.1952734Z # 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) 2025-03-21T20:31:49.1953737Z aten_permute_copy_default_296: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1673, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1673 = None 2025-03-21T20:31:49.1954860Z quantized_decomposed_quantize_per_tensor_default_1200: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_296, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_296 = None 2025-03-21T20:31:49.1956210Z quantized_decomposed_dequantize_per_tensor_default_1695: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1200, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1200 = None 2025-03-21T20:31:49.1957069Z aten_select_copy_int_340: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1695, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1695 = None 2025-03-21T20:31:49.1958096Z quantized_decomposed_quantize_per_tensor_default_1201: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_340, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_340 = None 2025-03-21T20:31:49.1959434Z quantized_decomposed_dequantize_per_tensor_default_1696: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1201, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1201 = None 2025-03-21T20:31:49.1960274Z aten_select_copy_int_341: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1696, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1696 = None 2025-03-21T20:31:49.1961308Z quantized_decomposed_quantize_per_tensor_default_1202: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_341, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_341 = None 2025-03-21T20:31:49.1961405Z 2025-03-21T20:31:49.1962481Z # File: .50:4291 in forward, code: dequantize_per_tensor_default_1358 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1358, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1358 = None 2025-03-21T20:31:49.1963821Z quantized_decomposed_dequantize_per_tensor_default_1697: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1202, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1202 = None 2025-03-21T20:31:49.1963936Z 2025-03-21T20:31:49.1964654Z # 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) 2025-03-21T20:31:49.1965587Z aten_permute_copy_default_297: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1672, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1672 = None 2025-03-21T20:31:49.1966882Z quantized_decomposed_quantize_per_tensor_default_1203: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_297, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_297 = None 2025-03-21T20:31:49.1968275Z quantized_decomposed_dequantize_per_tensor_default_1698: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1203, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1203 = None 2025-03-21T20:31:49.1969170Z aten_select_copy_int_342: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1698, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1698 = None 2025-03-21T20:31:49.1970230Z quantized_decomposed_quantize_per_tensor_default_1204: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_342, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_342 = None 2025-03-21T20:31:49.1971566Z quantized_decomposed_dequantize_per_tensor_default_1699: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1204, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1204 = None 2025-03-21T20:31:49.1972405Z aten_select_copy_int_343: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1699, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1699 = None 2025-03-21T20:31:49.1973444Z quantized_decomposed_quantize_per_tensor_default_1205: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_343, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_343 = None 2025-03-21T20:31:49.1973551Z 2025-03-21T20:31:49.1974632Z # File: .50:4300 in forward, code: dequantize_per_tensor_default_1361 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1361, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1361 = None 2025-03-21T20:31:49.1975940Z quantized_decomposed_dequantize_per_tensor_default_1700: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1205, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1205 = None 2025-03-21T20:31:49.1976054Z 2025-03-21T20:31:49.1976775Z # 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) 2025-03-21T20:31:49.1977750Z aten_permute_copy_default_298: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1671, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1671 = None 2025-03-21T20:31:49.1978830Z quantized_decomposed_quantize_per_tensor_default_1206: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_298, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_298 = None 2025-03-21T20:31:49.1980153Z quantized_decomposed_dequantize_per_tensor_default_1701: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1206, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1206 = None 2025-03-21T20:31:49.1981023Z aten_select_copy_int_344: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1701, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1701 = None 2025-03-21T20:31:49.1982057Z quantized_decomposed_quantize_per_tensor_default_1207: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_344, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_344 = None 2025-03-21T20:31:49.1983423Z quantized_decomposed_dequantize_per_tensor_default_1702: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1207, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1207 = None 2025-03-21T20:31:49.1984275Z aten_select_copy_int_345: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1702, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1702 = None 2025-03-21T20:31:49.1985284Z quantized_decomposed_quantize_per_tensor_default_1208: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_345, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_345 = None 2025-03-21T20:31:49.1985397Z 2025-03-21T20:31:49.1986462Z # File: .50:4309 in forward, code: dequantize_per_tensor_default_1364 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1364, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1364 = None 2025-03-21T20:31:49.1987791Z quantized_decomposed_dequantize_per_tensor_default_1703: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1208, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1208 = None 2025-03-21T20:31:49.1987888Z 2025-03-21T20:31:49.1988618Z # 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) 2025-03-21T20:31:49.1989542Z aten_permute_copy_default_299: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1670, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1670 = None 2025-03-21T20:31:49.1990637Z quantized_decomposed_quantize_per_tensor_default_1209: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_299, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_299 = None 2025-03-21T20:31:49.1991994Z quantized_decomposed_dequantize_per_tensor_default_1704: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1209, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1209 = None 2025-03-21T20:31:49.1992923Z aten_select_copy_int_346: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1704, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1704 = None 2025-03-21T20:31:49.1993951Z quantized_decomposed_quantize_per_tensor_default_1210: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_346, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_346 = None 2025-03-21T20:31:49.1995312Z quantized_decomposed_dequantize_per_tensor_default_1705: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1210, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1210 = None 2025-03-21T20:31:49.1996187Z aten_select_copy_int_347: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1705, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1705 = None 2025-03-21T20:31:49.1997228Z quantized_decomposed_quantize_per_tensor_default_1211: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_347, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_347 = None 2025-03-21T20:31:49.1997342Z 2025-03-21T20:31:49.1998407Z # File: .50:4318 in forward, code: dequantize_per_tensor_default_1367 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1367, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1367 = None 2025-03-21T20:31:49.1999740Z quantized_decomposed_dequantize_per_tensor_default_1706: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1211, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1211 = None 2025-03-21T20:31:49.1999842Z 2025-03-21T20:31:49.2000565Z # 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) 2025-03-21T20:31:49.2001491Z aten_permute_copy_default_300: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1669, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1669 = None 2025-03-21T20:31:49.2002580Z quantized_decomposed_quantize_per_tensor_default_1212: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_300, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_300 = None 2025-03-21T20:31:49.2003910Z quantized_decomposed_dequantize_per_tensor_default_1707: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1212, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1212 = None 2025-03-21T20:31:49.2004789Z aten_select_copy_int_348: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1707, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1707 = None 2025-03-21T20:31:49.2005813Z quantized_decomposed_quantize_per_tensor_default_1213: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_348, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_348 = None 2025-03-21T20:31:49.2007149Z quantized_decomposed_dequantize_per_tensor_default_1708: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1213, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1213 = None 2025-03-21T20:31:49.2007991Z aten_select_copy_int_349: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1708, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1708 = None 2025-03-21T20:31:49.2009048Z quantized_decomposed_quantize_per_tensor_default_1214: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_349, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_349 = None 2025-03-21T20:31:49.2009170Z 2025-03-21T20:31:49.2010243Z # File: .50:4327 in forward, code: dequantize_per_tensor_default_1370 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1370, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1370 = None 2025-03-21T20:31:49.2011583Z quantized_decomposed_dequantize_per_tensor_default_1709: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1214, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1214 = None 2025-03-21T20:31:49.2011692Z 2025-03-21T20:31:49.2012405Z # 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) 2025-03-21T20:31:49.2013331Z aten_permute_copy_default_301: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1668, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1668 = None 2025-03-21T20:31:49.2014417Z quantized_decomposed_quantize_per_tensor_default_1215: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_301, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_301 = None 2025-03-21T20:31:49.2015759Z quantized_decomposed_dequantize_per_tensor_default_1710: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1215, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1215 = None 2025-03-21T20:31:49.2016607Z aten_select_copy_int_350: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1710, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1710 = None 2025-03-21T20:31:49.2017647Z quantized_decomposed_quantize_per_tensor_default_1216: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_350, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_350 = None 2025-03-21T20:31:49.2018986Z quantized_decomposed_dequantize_per_tensor_default_1711: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1216, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1216 = None 2025-03-21T20:31:49.2019839Z aten_select_copy_int_351: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1711, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1711 = None 2025-03-21T20:31:49.2020862Z quantized_decomposed_quantize_per_tensor_default_1217: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_351, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_351 = None 2025-03-21T20:31:49.2020973Z 2025-03-21T20:31:49.2022067Z # File: .50:4336 in forward, code: dequantize_per_tensor_default_1373 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1373, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1373 = None 2025-03-21T20:31:49.2023400Z quantized_decomposed_dequantize_per_tensor_default_1712: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1217, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1217 = None 2025-03-21T20:31:49.2023521Z 2025-03-21T20:31:49.2024252Z # 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) 2025-03-21T20:31:49.2025203Z aten_permute_copy_default_302: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1667, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1667 = None 2025-03-21T20:31:49.2026297Z quantized_decomposed_quantize_per_tensor_default_1218: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_302, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_302 = None 2025-03-21T20:31:49.2027616Z quantized_decomposed_dequantize_per_tensor_default_1713: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1218, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1218 = None 2025-03-21T20:31:49.2028472Z aten_select_copy_int_352: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1713, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1713 = None 2025-03-21T20:31:49.2029520Z quantized_decomposed_quantize_per_tensor_default_1219: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_352, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_352 = None 2025-03-21T20:31:49.2030843Z quantized_decomposed_dequantize_per_tensor_default_1714: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1219, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1219 = None 2025-03-21T20:31:49.2031691Z aten_select_copy_int_353: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1714, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1714 = None 2025-03-21T20:31:49.2032739Z quantized_decomposed_quantize_per_tensor_default_1220: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_353, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_353 = None 2025-03-21T20:31:49.2032926Z 2025-03-21T20:31:49.2033986Z # File: .50:4345 in forward, code: dequantize_per_tensor_default_1376 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1376, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1376 = None 2025-03-21T20:31:49.2035318Z quantized_decomposed_dequantize_per_tensor_default_1715: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1220, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1220 = None 2025-03-21T20:31:49.2035443Z 2025-03-21T20:31:49.2036176Z # 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) 2025-03-21T20:31:49.2037089Z aten_permute_copy_default_303: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1666, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1666 = None 2025-03-21T20:31:49.2038226Z quantized_decomposed_quantize_per_tensor_default_1221: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_303, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_303 = None 2025-03-21T20:31:49.2039553Z quantized_decomposed_dequantize_per_tensor_default_1716: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1221, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1221 = None 2025-03-21T20:31:49.2040409Z aten_select_copy_int_354: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1716, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1716 = None 2025-03-21T20:31:49.2041436Z quantized_decomposed_quantize_per_tensor_default_1222: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_354, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_354 = None 2025-03-21T20:31:49.2042778Z quantized_decomposed_dequantize_per_tensor_default_1717: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1222, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1222 = None 2025-03-21T20:31:49.2043617Z aten_select_copy_int_355: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1717, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1717 = None 2025-03-21T20:31:49.2044655Z quantized_decomposed_quantize_per_tensor_default_1223: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_355, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_355 = None 2025-03-21T20:31:49.2044752Z 2025-03-21T20:31:49.2045852Z # File: .50:4354 in forward, code: dequantize_per_tensor_default_1379 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1379, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1379 = None 2025-03-21T20:31:49.2047181Z quantized_decomposed_dequantize_per_tensor_default_1718: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1223, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1223 = None 2025-03-21T20:31:49.2047293Z 2025-03-21T20:31:49.2048010Z # 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) 2025-03-21T20:31:49.2048942Z aten_permute_copy_default_304: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1665, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1665 = None 2025-03-21T20:31:49.2050049Z quantized_decomposed_quantize_per_tensor_default_1224: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_304, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_304 = None 2025-03-21T20:31:49.2051389Z quantized_decomposed_dequantize_per_tensor_default_1719: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1224, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1224 = None 2025-03-21T20:31:49.2052284Z aten_select_copy_int_356: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1719, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1719 = None 2025-03-21T20:31:49.2053323Z quantized_decomposed_quantize_per_tensor_default_1225: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_356, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_356 = None 2025-03-21T20:31:49.2054644Z quantized_decomposed_dequantize_per_tensor_default_1720: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1225, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1225 = None 2025-03-21T20:31:49.2055499Z aten_select_copy_int_357: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1720, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1720 = None 2025-03-21T20:31:49.2056535Z quantized_decomposed_quantize_per_tensor_default_1226: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_357, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_357 = None 2025-03-21T20:31:49.2056632Z 2025-03-21T20:31:49.2057703Z # File: .50:4363 in forward, code: dequantize_per_tensor_default_1382 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1382, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1382 = None 2025-03-21T20:31:49.2059035Z quantized_decomposed_dequantize_per_tensor_default_1721: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1226, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1226 = None 2025-03-21T20:31:49.2059147Z 2025-03-21T20:31:49.2059889Z # 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) 2025-03-21T20:31:49.2060804Z aten_permute_copy_default_305: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1664, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1664 = None 2025-03-21T20:31:49.2061891Z quantized_decomposed_quantize_per_tensor_default_1227: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_305, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_305 = None 2025-03-21T20:31:49.2063227Z quantized_decomposed_dequantize_per_tensor_default_1722: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1227, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1227 = None 2025-03-21T20:31:49.2064096Z aten_select_copy_int_358: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1722, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1722 = None 2025-03-21T20:31:49.2065160Z quantized_decomposed_quantize_per_tensor_default_1228: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_358, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_358 = None 2025-03-21T20:31:49.2066503Z quantized_decomposed_dequantize_per_tensor_default_1723: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1228, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1228 = None 2025-03-21T20:31:49.2067566Z aten_select_copy_int_359: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1723, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1723 = None 2025-03-21T20:31:49.2068586Z quantized_decomposed_quantize_per_tensor_default_1229: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_359, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_select_copy_int_359 = None 2025-03-21T20:31:49.2068703Z 2025-03-21T20:31:49.2069769Z # File: .50:4372 in forward, code: dequantize_per_tensor_default_1385 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1385, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1385 = None 2025-03-21T20:31:49.2071106Z quantized_decomposed_dequantize_per_tensor_default_1724: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1229, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1229 = None 2025-03-21T20:31:49.2071208Z 2025-03-21T20:31:49.2071949Z # 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) 2025-03-21T20:31:49.2078438Z aten_cat_default_30: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1691, quantized_decomposed_dequantize_per_tensor_default_1694, quantized_decomposed_dequantize_per_tensor_default_1697, quantized_decomposed_dequantize_per_tensor_default_1700, quantized_decomposed_dequantize_per_tensor_default_1703, quantized_decomposed_dequantize_per_tensor_default_1706, quantized_decomposed_dequantize_per_tensor_default_1709, quantized_decomposed_dequantize_per_tensor_default_1712, quantized_decomposed_dequantize_per_tensor_default_1715, quantized_decomposed_dequantize_per_tensor_default_1718, quantized_decomposed_dequantize_per_tensor_default_1721, quantized_decomposed_dequantize_per_tensor_default_1724]); quantized_decomposed_dequantize_per_tensor_default_1691 = quantized_decomposed_dequantize_per_tensor_default_1694 = quantized_decomposed_dequantize_per_tensor_default_1697 = quantized_decomposed_dequantize_per_tensor_default_1700 = quantized_decomposed_dequantize_per_tensor_default_1703 = quantized_decomposed_dequantize_per_tensor_default_1706 = quantized_decomposed_dequantize_per_tensor_default_1709 = quantized_decomposed_dequantize_per_tensor_default_1712 = quantized_decomposed_dequantize_per_tensor_default_1715 = quantized_decomposed_dequantize_per_tensor_default_1718 = quantized_decomposed_dequantize_per_tensor_default_1721 = quantized_decomposed_dequantize_per_tensor_default_1724 = None 2025-03-21T20:31:49.2079494Z quantized_decomposed_quantize_per_tensor_default_1230: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_30, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_cat_default_30 = None 2025-03-21T20:31:49.2080874Z quantized_decomposed_dequantize_per_tensor_default_1725: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1230, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1230 = None 2025-03-21T20:31:49.2081819Z aten_view_copy_default_135: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1725, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1725 = None 2025-03-21T20:31:49.2082888Z quantized_decomposed_quantize_per_tensor_default_1231: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_135, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_view_copy_default_135 = None 2025-03-21T20:31:49.2082989Z 2025-03-21T20:31:49.2083658Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.2084986Z quantized_decomposed_dequantize_per_tensor_default_1726: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1231, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1231 = None 2025-03-21T20:31:49.2085103Z 2025-03-21T20:31:49.2085825Z # 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) 2025-03-21T20:31:49.2086750Z aten_permute_copy_default_306: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1688, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1688 = None 2025-03-21T20:31:49.2087823Z quantized_decomposed_quantize_per_tensor_default_1232: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_306, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_306 = None 2025-03-21T20:31:49.2089187Z quantized_decomposed_dequantize_per_tensor_default_1727: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1232, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1232 = None 2025-03-21T20:31:49.2090035Z aten_select_copy_int_360: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1727, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1727 = None 2025-03-21T20:31:49.2091074Z quantized_decomposed_quantize_per_tensor_default_1233: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_360, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_360 = None 2025-03-21T20:31:49.2092398Z quantized_decomposed_dequantize_per_tensor_default_1728: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1233, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1233 = None 2025-03-21T20:31:49.2093275Z aten_select_copy_int_361: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1728, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1728 = None 2025-03-21T20:31:49.2094325Z quantized_decomposed_quantize_per_tensor_default_1234: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_361, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_361 = None 2025-03-21T20:31:49.2094423Z 2025-03-21T20:31:49.2095509Z # File: .50:4387 in forward, code: dequantize_per_tensor_default_1390 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1390, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1390 = None 2025-03-21T20:31:49.2096850Z quantized_decomposed_dequantize_per_tensor_default_1729: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1234, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1234 = None 2025-03-21T20:31:49.2096967Z 2025-03-21T20:31:49.2097685Z # 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) 2025-03-21T20:31:49.2098597Z aten_permute_copy_default_307: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1687, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1687 = None 2025-03-21T20:31:49.2099692Z quantized_decomposed_quantize_per_tensor_default_1235: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_307, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_307 = None 2025-03-21T20:31:49.2101025Z quantized_decomposed_dequantize_per_tensor_default_1730: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1235, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1235 = None 2025-03-21T20:31:49.2101877Z aten_select_copy_int_362: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1730, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1730 = None 2025-03-21T20:31:49.2102940Z quantized_decomposed_quantize_per_tensor_default_1236: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_362, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_362 = None 2025-03-21T20:31:49.2104242Z quantized_decomposed_dequantize_per_tensor_default_1731: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1236, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1236 = None 2025-03-21T20:31:49.2105091Z aten_select_copy_int_363: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1731, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1731 = None 2025-03-21T20:31:49.2106131Z quantized_decomposed_quantize_per_tensor_default_1237: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_363, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_363 = None 2025-03-21T20:31:49.2106242Z 2025-03-21T20:31:49.2107305Z # File: .50:4396 in forward, code: dequantize_per_tensor_default_1393 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1393, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1393 = None 2025-03-21T20:31:49.2108707Z quantized_decomposed_dequantize_per_tensor_default_1732: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1237, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1237 = None 2025-03-21T20:31:49.2108806Z 2025-03-21T20:31:49.2109536Z # 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) 2025-03-21T20:31:49.2110447Z aten_permute_copy_default_308: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1686, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1686 = None 2025-03-21T20:31:49.2111530Z quantized_decomposed_quantize_per_tensor_default_1238: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_308, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_308 = None 2025-03-21T20:31:49.2112943Z quantized_decomposed_dequantize_per_tensor_default_1733: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1238, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1238 = None 2025-03-21T20:31:49.2113803Z aten_select_copy_int_364: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1733, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1733 = None 2025-03-21T20:31:49.2114822Z quantized_decomposed_quantize_per_tensor_default_1239: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_364, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_364 = None 2025-03-21T20:31:49.2116136Z quantized_decomposed_dequantize_per_tensor_default_1734: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1239, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1239 = None 2025-03-21T20:31:49.2117000Z aten_select_copy_int_365: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1734, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1734 = None 2025-03-21T20:31:49.2118028Z quantized_decomposed_quantize_per_tensor_default_1240: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_365, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_365 = None 2025-03-21T20:31:49.2118126Z 2025-03-21T20:31:49.2119196Z # File: .50:4405 in forward, code: dequantize_per_tensor_default_1396 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1396, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1396 = None 2025-03-21T20:31:49.2120534Z quantized_decomposed_dequantize_per_tensor_default_1735: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1240, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1240 = None 2025-03-21T20:31:49.2120651Z 2025-03-21T20:31:49.2121391Z # 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) 2025-03-21T20:31:49.2122342Z aten_permute_copy_default_309: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1685, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1685 = None 2025-03-21T20:31:49.2123408Z quantized_decomposed_quantize_per_tensor_default_1241: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_309, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_309 = None 2025-03-21T20:31:49.2124743Z quantized_decomposed_dequantize_per_tensor_default_1736: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1241, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1241 = None 2025-03-21T20:31:49.2125583Z aten_select_copy_int_366: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1736, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1736 = None 2025-03-21T20:31:49.2126612Z quantized_decomposed_quantize_per_tensor_default_1242: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_366, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_366 = None 2025-03-21T20:31:49.2127938Z quantized_decomposed_dequantize_per_tensor_default_1737: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1242, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1242 = None 2025-03-21T20:31:49.2128773Z aten_select_copy_int_367: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1737, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1737 = None 2025-03-21T20:31:49.2129801Z quantized_decomposed_quantize_per_tensor_default_1243: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_367, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_367 = None 2025-03-21T20:31:49.2129925Z 2025-03-21T20:31:49.2131001Z # File: .50:4414 in forward, code: dequantize_per_tensor_default_1399 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1399, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1399 = None 2025-03-21T20:31:49.2132319Z quantized_decomposed_dequantize_per_tensor_default_1738: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1243, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1243 = None 2025-03-21T20:31:49.2132433Z 2025-03-21T20:31:49.2133155Z # 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) 2025-03-21T20:31:49.2134121Z aten_permute_copy_default_310: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1684, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1684 = None 2025-03-21T20:31:49.2135186Z quantized_decomposed_quantize_per_tensor_default_1244: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_310, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_310 = None 2025-03-21T20:31:49.2136556Z quantized_decomposed_dequantize_per_tensor_default_1739: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1244, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1244 = None 2025-03-21T20:31:49.2137410Z aten_select_copy_int_368: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1739, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1739 = None 2025-03-21T20:31:49.2138437Z quantized_decomposed_quantize_per_tensor_default_1245: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_368, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_368 = None 2025-03-21T20:31:49.2139743Z quantized_decomposed_dequantize_per_tensor_default_1740: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1245, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1245 = None 2025-03-21T20:31:49.2140594Z aten_select_copy_int_369: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1740, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1740 = None 2025-03-21T20:31:49.2141607Z quantized_decomposed_quantize_per_tensor_default_1246: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_369, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_369 = None 2025-03-21T20:31:49.2141717Z 2025-03-21T20:31:49.2142780Z # File: .50:4423 in forward, code: dequantize_per_tensor_default_1402 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1402, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1402 = None 2025-03-21T20:31:49.2144126Z quantized_decomposed_dequantize_per_tensor_default_1741: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1246, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1246 = None 2025-03-21T20:31:49.2144226Z 2025-03-21T20:31:49.2144960Z # 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) 2025-03-21T20:31:49.2145877Z aten_permute_copy_default_311: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1683, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1683 = None 2025-03-21T20:31:49.2146966Z quantized_decomposed_quantize_per_tensor_default_1247: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_311, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_311 = None 2025-03-21T20:31:49.2148304Z quantized_decomposed_dequantize_per_tensor_default_1742: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1247, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1247 = None 2025-03-21T20:31:49.2149191Z aten_select_copy_int_370: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1742, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1742 = None 2025-03-21T20:31:49.2150231Z quantized_decomposed_quantize_per_tensor_default_1248: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_370, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_370 = None 2025-03-21T20:31:49.2151557Z quantized_decomposed_dequantize_per_tensor_default_1743: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1248, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1248 = None 2025-03-21T20:31:49.2152390Z aten_select_copy_int_371: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1743, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1743 = None 2025-03-21T20:31:49.2153547Z quantized_decomposed_quantize_per_tensor_default_1249: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_371, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_371 = None 2025-03-21T20:31:49.2153649Z 2025-03-21T20:31:49.2154716Z # File: .50:4432 in forward, code: dequantize_per_tensor_default_1405 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1405, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1405 = None 2025-03-21T20:31:49.2156049Z quantized_decomposed_dequantize_per_tensor_default_1744: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1249, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1249 = None 2025-03-21T20:31:49.2156148Z 2025-03-21T20:31:49.2156862Z # 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) 2025-03-21T20:31:49.2157831Z aten_permute_copy_default_312: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1682, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1682 = None 2025-03-21T20:31:49.2158908Z quantized_decomposed_quantize_per_tensor_default_1250: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_312, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_312 = None 2025-03-21T20:31:49.2160247Z quantized_decomposed_dequantize_per_tensor_default_1745: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1250, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1250 = None 2025-03-21T20:31:49.2161137Z aten_select_copy_int_372: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1745, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1745 = None 2025-03-21T20:31:49.2162165Z quantized_decomposed_quantize_per_tensor_default_1251: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_372, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_372 = None 2025-03-21T20:31:49.2163536Z quantized_decomposed_dequantize_per_tensor_default_1746: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1251, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1251 = None 2025-03-21T20:31:49.2164376Z aten_select_copy_int_373: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1746, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1746 = None 2025-03-21T20:31:49.2165395Z quantized_decomposed_quantize_per_tensor_default_1252: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_373, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_373 = None 2025-03-21T20:31:49.2165492Z 2025-03-21T20:31:49.2166796Z # File: .50:4441 in forward, code: dequantize_per_tensor_default_1408 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1408, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1408 = None 2025-03-21T20:31:49.2168111Z quantized_decomposed_dequantize_per_tensor_default_1747: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1252, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1252 = None 2025-03-21T20:31:49.2168227Z 2025-03-21T20:31:49.2168948Z # 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) 2025-03-21T20:31:49.2169874Z aten_permute_copy_default_313: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1681, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1681 = None 2025-03-21T20:31:49.2170952Z quantized_decomposed_quantize_per_tensor_default_1253: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_313, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_313 = None 2025-03-21T20:31:49.2172341Z quantized_decomposed_dequantize_per_tensor_default_1748: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1253, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1253 = None 2025-03-21T20:31:49.2173188Z aten_select_copy_int_374: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1748, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1748 = None 2025-03-21T20:31:49.2174225Z quantized_decomposed_quantize_per_tensor_default_1254: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_374, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_374 = None 2025-03-21T20:31:49.2175572Z quantized_decomposed_dequantize_per_tensor_default_1749: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1254, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1254 = None 2025-03-21T20:31:49.2176427Z aten_select_copy_int_375: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1749, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1749 = None 2025-03-21T20:31:49.2177520Z quantized_decomposed_quantize_per_tensor_default_1255: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_375, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_375 = None 2025-03-21T20:31:49.2177633Z 2025-03-21T20:31:49.2178692Z # File: .50:4450 in forward, code: dequantize_per_tensor_default_1411 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1411, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1411 = None 2025-03-21T20:31:49.2180022Z quantized_decomposed_dequantize_per_tensor_default_1750: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1255, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1255 = None 2025-03-21T20:31:49.2180122Z 2025-03-21T20:31:49.2180854Z # 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) 2025-03-21T20:31:49.2181772Z aten_permute_copy_default_314: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1680, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1680 = None 2025-03-21T20:31:49.2182859Z quantized_decomposed_quantize_per_tensor_default_1256: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_314, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_314 = None 2025-03-21T20:31:49.2184178Z quantized_decomposed_dequantize_per_tensor_default_1751: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1256, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1256 = None 2025-03-21T20:31:49.2185030Z aten_select_copy_int_376: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1751, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1751 = None 2025-03-21T20:31:49.2186093Z quantized_decomposed_quantize_per_tensor_default_1257: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_376, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_376 = None 2025-03-21T20:31:49.2187412Z quantized_decomposed_dequantize_per_tensor_default_1752: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1257, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1257 = None 2025-03-21T20:31:49.2188262Z aten_select_copy_int_377: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1752, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1752 = None 2025-03-21T20:31:49.2189309Z quantized_decomposed_quantize_per_tensor_default_1258: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_377, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_377 = None 2025-03-21T20:31:49.2189420Z 2025-03-21T20:31:49.2190471Z # File: .50:4459 in forward, code: dequantize_per_tensor_default_1414 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1414, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1414 = None 2025-03-21T20:31:49.2191849Z quantized_decomposed_dequantize_per_tensor_default_1753: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1258, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1258 = None 2025-03-21T20:31:49.2191949Z 2025-03-21T20:31:49.2192677Z # 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) 2025-03-21T20:31:49.2193686Z aten_permute_copy_default_315: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1679, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1679 = None 2025-03-21T20:31:49.2194769Z quantized_decomposed_quantize_per_tensor_default_1259: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_315, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_315 = None 2025-03-21T20:31:49.2196088Z quantized_decomposed_dequantize_per_tensor_default_1754: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1259, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1259 = None 2025-03-21T20:31:49.2196939Z aten_select_copy_int_378: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1754, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1754 = None 2025-03-21T20:31:49.2197959Z quantized_decomposed_quantize_per_tensor_default_1260: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_378, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_378 = None 2025-03-21T20:31:49.2199305Z quantized_decomposed_dequantize_per_tensor_default_1755: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1260, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1260 = None 2025-03-21T20:31:49.2200139Z aten_select_copy_int_379: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1755, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1755 = None 2025-03-21T20:31:49.2201171Z quantized_decomposed_quantize_per_tensor_default_1261: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_379, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_379 = None 2025-03-21T20:31:49.2201266Z 2025-03-21T20:31:49.2202340Z # File: .50:4468 in forward, code: dequantize_per_tensor_default_1417 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1417, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1417 = None 2025-03-21T20:31:49.2203668Z quantized_decomposed_dequantize_per_tensor_default_1756: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1261, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1261 = None 2025-03-21T20:31:49.2203804Z 2025-03-21T20:31:49.2204522Z # 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) 2025-03-21T20:31:49.2205472Z aten_permute_copy_default_316: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1678, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1678 = None 2025-03-21T20:31:49.2206550Z quantized_decomposed_quantize_per_tensor_default_1262: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_316, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_316 = None 2025-03-21T20:31:49.2207873Z quantized_decomposed_dequantize_per_tensor_default_1757: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1262, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1262 = None 2025-03-21T20:31:49.2208717Z aten_select_copy_int_380: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1757, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1757 = None 2025-03-21T20:31:49.2209759Z quantized_decomposed_quantize_per_tensor_default_1263: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_380, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_380 = None 2025-03-21T20:31:49.2211078Z quantized_decomposed_dequantize_per_tensor_default_1758: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1263, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1263 = None 2025-03-21T20:31:49.2211937Z aten_select_copy_int_381: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1758, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1758 = None 2025-03-21T20:31:49.2212979Z quantized_decomposed_quantize_per_tensor_default_1264: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_381, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_381 = None 2025-03-21T20:31:49.2213094Z 2025-03-21T20:31:49.2214140Z # File: .50:4477 in forward, code: dequantize_per_tensor_default_1420 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1420, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1420 = None 2025-03-21T20:31:49.2215470Z quantized_decomposed_dequantize_per_tensor_default_1759: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1264, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1264 = None 2025-03-21T20:31:49.2215594Z 2025-03-21T20:31:49.2216326Z # 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) 2025-03-21T20:31:49.2217236Z aten_permute_copy_default_317: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1677, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1677 = None 2025-03-21T20:31:49.2218350Z quantized_decomposed_quantize_per_tensor_default_1265: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_317, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_permute_copy_default_317 = None 2025-03-21T20:31:49.2219697Z quantized_decomposed_dequantize_per_tensor_default_1760: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1265, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1265 = None 2025-03-21T20:31:49.2220561Z aten_select_copy_int_382: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1760, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1760 = None 2025-03-21T20:31:49.2221594Z quantized_decomposed_quantize_per_tensor_default_1266: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_382, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_382 = None 2025-03-21T20:31:49.2222912Z quantized_decomposed_dequantize_per_tensor_default_1761: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1266, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1266 = None 2025-03-21T20:31:49.2223762Z aten_select_copy_int_383: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1761, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1761 = None 2025-03-21T20:31:49.2224778Z quantized_decomposed_quantize_per_tensor_default_1267: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_383, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_select_copy_int_383 = None 2025-03-21T20:31:49.2224889Z 2025-03-21T20:31:49.2225940Z # File: .50:4486 in forward, code: dequantize_per_tensor_default_1423 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1423, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1423 = None 2025-03-21T20:31:49.2227297Z quantized_decomposed_dequantize_per_tensor_default_1762: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1267, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1267 = None 2025-03-21T20:31:49.2227395Z 2025-03-21T20:31:49.2228128Z # 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) 2025-03-21T20:31:49.2234513Z aten_cat_default_31: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1729, quantized_decomposed_dequantize_per_tensor_default_1732, quantized_decomposed_dequantize_per_tensor_default_1735, quantized_decomposed_dequantize_per_tensor_default_1738, quantized_decomposed_dequantize_per_tensor_default_1741, quantized_decomposed_dequantize_per_tensor_default_1744, quantized_decomposed_dequantize_per_tensor_default_1747, quantized_decomposed_dequantize_per_tensor_default_1750, quantized_decomposed_dequantize_per_tensor_default_1753, quantized_decomposed_dequantize_per_tensor_default_1756, quantized_decomposed_dequantize_per_tensor_default_1759, quantized_decomposed_dequantize_per_tensor_default_1762]); quantized_decomposed_dequantize_per_tensor_default_1729 = quantized_decomposed_dequantize_per_tensor_default_1732 = quantized_decomposed_dequantize_per_tensor_default_1735 = quantized_decomposed_dequantize_per_tensor_default_1738 = quantized_decomposed_dequantize_per_tensor_default_1741 = quantized_decomposed_dequantize_per_tensor_default_1744 = quantized_decomposed_dequantize_per_tensor_default_1747 = quantized_decomposed_dequantize_per_tensor_default_1750 = quantized_decomposed_dequantize_per_tensor_default_1753 = quantized_decomposed_dequantize_per_tensor_default_1756 = quantized_decomposed_dequantize_per_tensor_default_1759 = quantized_decomposed_dequantize_per_tensor_default_1762 = None 2025-03-21T20:31:49.2235580Z quantized_decomposed_quantize_per_tensor_default_1268: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_31, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_cat_default_31 = None 2025-03-21T20:31:49.2236921Z quantized_decomposed_dequantize_per_tensor_default_1763: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1268, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1268 = None 2025-03-21T20:31:49.2237811Z aten_view_copy_default_136: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1763, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1763 = None 2025-03-21T20:31:49.2238877Z quantized_decomposed_quantize_per_tensor_default_1269: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_136, 0.0001613850035937503, 35011, 0, 65535, torch.int32); aten_view_copy_default_136 = None 2025-03-21T20:31:49.2238977Z 2025-03-21T20:31:49.2240055Z # File: .50:4492 in forward, code: dequantize_per_tensor_default_1425 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1425, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantize_per_tensor_default_1425 = None 2025-03-21T20:31:49.2241368Z quantized_decomposed_dequantize_per_tensor_default_1764: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1269, 0.0001613850035937503, 35011, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1269 = None 2025-03-21T20:31:49.2241509Z 2025-03-21T20:31:49.2242566Z # File: .50:4493 in forward, code: quantize_per_tensor_default_1426 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1425, 0.0001724382018437609, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1425 = None 2025-03-21T20:31:49.2243898Z quantized_decomposed_quantize_per_tensor_default_1270: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1764, 0.0001724382018437609, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1764 = None 2025-03-21T20:31:49.2243996Z 2025-03-21T20:31:49.2244532Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.2245877Z quantized_decomposed_dequantize_per_tensor_default_1765: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1270, 0.0001724382018437609, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1270 = None 2025-03-21T20:31:49.2246016Z 2025-03-21T20:31:49.2246575Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:49.2247515Z aten_index_tensor_9: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_136, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_136 = None 2025-03-21T20:31:49.2248504Z quantized_decomposed_quantize_per_tensor_default_1271: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_9, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_9 = None 2025-03-21T20:31:49.2248618Z 2025-03-21T20:31:49.2249157Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.2250482Z quantized_decomposed_dequantize_per_tensor_default_1766: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1271, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1271 = None 2025-03-21T20:31:49.2250582Z 2025-03-21T20:31:49.2251245Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.2252163Z aten_permute_copy_default_318: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1726, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1726 = None 2025-03-21T20:31:49.2253254Z quantized_decomposed_quantize_per_tensor_default_1272: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_318, 0.00039715005550533533, 34049, 0, 65535, torch.int32); aten_permute_copy_default_318 = None 2025-03-21T20:31:49.2253354Z 2025-03-21T20:31:49.2254437Z # File: .50:4500 in forward, code: dequantize_per_tensor_default_1428 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1428, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantize_per_tensor_default_1428 = None 2025-03-21T20:31:49.2255780Z quantized_decomposed_dequantize_per_tensor_default_1767: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1272, 0.00039715005550533533, 34049, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1272 = None 2025-03-21T20:31:49.2255892Z 2025-03-21T20:31:49.2256956Z # File: .50:4501 in forward, code: quantize_per_tensor_default_1429 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1428, 0.0004126892308704555, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1428 = None 2025-03-21T20:31:49.2258284Z quantized_decomposed_quantize_per_tensor_default_1273: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1767, 0.0004126892308704555, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1767 = None 2025-03-21T20:31:49.2258406Z 2025-03-21T20:31:49.2259059Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.2260387Z quantized_decomposed_dequantize_per_tensor_default_1768: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1273, 0.0004126892308704555, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1273 = None 2025-03-21T20:31:49.2261340Z aten_expand_copy_default_28: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1662, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1662 = None 2025-03-21T20:31:49.2261968Z 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 2025-03-21T20:31:49.2262888Z aten_expand_copy_default_29: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1768, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1768 = None 2025-03-21T20:31:49.2263526Z 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 2025-03-21T20:31:49.2264274Z 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 2025-03-21T20:31:49.2264864Z 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 2025-03-21T20:31:49.2265916Z quantized_decomposed_quantize_per_tensor_default_1274: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_139, 0.0034391621593385935, 32661, 0, 65535, torch.int32); aten_view_copy_default_139 = None 2025-03-21T20:31:49.2267406Z quantized_decomposed_dequantize_per_tensor_default_1769: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1274, 0.0034391621593385935, 32661, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1274 = None 2025-03-21T20:31:49.2268391Z quantized_decomposed_dequantize_per_tensor_default_1770: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param156, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param156 = None 2025-03-21T20:31:49.2269756Z aten_mul_tensor_115: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1769, quantized_decomposed_dequantize_per_tensor_default_1770); quantized_decomposed_dequantize_per_tensor_default_1769 = quantized_decomposed_dequantize_per_tensor_default_1770 = None 2025-03-21T20:31:49.2270760Z quantized_decomposed_quantize_per_tensor_default_1275: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_115, 0.0004298952699173242, 32661, 0, 65535, torch.int32); aten_mul_tensor_115 = None 2025-03-21T20:31:49.2270855Z 2025-03-21T20:31:49.2271413Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.2272822Z quantized_decomposed_dequantize_per_tensor_default_1771: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1275, 0.0004298952699173242, 32661, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1275 = None 2025-03-21T20:31:49.2274139Z aten_add_tensor_37: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1771, quantized_decomposed_dequantize_per_tensor_default_1766); quantized_decomposed_dequantize_per_tensor_default_1771 = quantized_decomposed_dequantize_per_tensor_default_1766 = None 2025-03-21T20:31:49.2275189Z quantized_decomposed_quantize_per_tensor_default_1276: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_37, 0.004289415664970875, 62271, 0, 65535, torch.int32); aten_add_tensor_37 = None 2025-03-21T20:31:49.2275303Z 2025-03-21T20:31:49.2275938Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:49.2277269Z quantized_decomposed_dequantize_per_tensor_default_1772: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1276, 0.004289415664970875, 62271, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1276 = None 2025-03-21T20:31:49.2278156Z aten__softmax_default_7: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1772, -1, False); quantized_decomposed_dequantize_per_tensor_default_1772 = None 2025-03-21T20:31:49.2279171Z quantized_decomposed_quantize_per_tensor_default_1277: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_7, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_7 = None 2025-03-21T20:31:49.2279268Z 2025-03-21T20:31:49.2279796Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.2281090Z quantized_decomposed_dequantize_per_tensor_default_1773: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1277, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1277 = None 2025-03-21T20:31:49.2282008Z aten_expand_copy_default_30: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1773, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1773 = None 2025-03-21T20:31:49.2282665Z 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 2025-03-21T20:31:49.2283584Z aten_expand_copy_default_31: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1765, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1765 = None 2025-03-21T20:31:49.2284229Z 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 2025-03-21T20:31:49.2284974Z 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 2025-03-21T20:31:49.2285578Z 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 2025-03-21T20:31:49.2286637Z quantized_decomposed_quantize_per_tensor_default_1278: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_142, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_view_copy_default_142 = None 2025-03-21T20:31:49.2286771Z 2025-03-21T20:31:49.2287493Z # 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) 2025-03-21T20:31:49.2288835Z quantized_decomposed_dequantize_per_tensor_default_1774: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1278, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1278 = None 2025-03-21T20:31:49.2289752Z aten_permute_copy_default_319: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1774, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1774 = None 2025-03-21T20:31:49.2290823Z quantized_decomposed_quantize_per_tensor_default_1279: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_319, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_permute_copy_default_319 = None 2025-03-21T20:31:49.2292162Z quantized_decomposed_dequantize_per_tensor_default_1775: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1279, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1279 = None 2025-03-21T20:31:49.2293039Z aten_view_copy_default_143: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1775, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1775 = None 2025-03-21T20:31:49.2294093Z quantized_decomposed_quantize_per_tensor_default_1280: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_143, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_view_copy_default_143 = None 2025-03-21T20:31:49.2294191Z 2025-03-21T20:31:49.2294791Z # 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) 2025-03-21T20:31:49.2296137Z quantized_decomposed_dequantize_per_tensor_default_1776: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1280, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1280 = None 2025-03-21T20:31:49.2297061Z aten_unsqueeze_copy_default_84: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1776, -1); quantized_decomposed_dequantize_per_tensor_default_1776 = None 2025-03-21T20:31:49.2298151Z quantized_decomposed_quantize_per_tensor_default_1281: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_84, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_unsqueeze_copy_default_84 = None 2025-03-21T20:31:49.2298260Z 2025-03-21T20:31:49.2298743Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.2300081Z quantized_decomposed_dequantize_per_tensor_default_1777: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1281, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1281 = None 2025-03-21T20:31:49.2301016Z aten_permute_copy_default_320: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1777, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1777 = None 2025-03-21T20:31:49.2302143Z quantized_decomposed_quantize_per_tensor_default_1282: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_320, 0.00010833422857103869, 34577, 0, 65535, torch.int32); aten_permute_copy_default_320 = None 2025-03-21T20:31:49.2302242Z 2025-03-21T20:31:49.2302669Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.2303987Z quantized_decomposed_dequantize_per_tensor_default_1778: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1282, 0.00010833422857103869, 34577, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1282 = None 2025-03-21T20:31:49.2305465Z aten_convolution_default_52: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1778, quantized_decomposed_dequantize_per_tensor_default_68, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1778 = quantized_decomposed_dequantize_per_tensor_default_68 = None 2025-03-21T20:31:49.2306528Z quantized_decomposed_quantize_per_tensor_default_1283: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_52, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); aten_convolution_default_52 = None 2025-03-21T20:31:49.2306640Z 2025-03-21T20:31:49.2307114Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.2308442Z quantized_decomposed_dequantize_per_tensor_default_1779: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1283, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1283 = None 2025-03-21T20:31:49.2309378Z aten_permute_copy_default_321: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1779, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1779 = None 2025-03-21T20:31:49.2310455Z quantized_decomposed_quantize_per_tensor_default_1284: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_321, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); aten_permute_copy_default_321 = None 2025-03-21T20:31:49.2310554Z 2025-03-21T20:31:49.2311170Z # 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]) 2025-03-21T20:31:49.2312468Z quantized_decomposed_dequantize_per_tensor_default_1780: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1284, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1284 = None 2025-03-21T20:31:49.2313461Z aten_squeeze_copy_dims_84: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1780, [-1]); quantized_decomposed_dequantize_per_tensor_default_1780 = None 2025-03-21T20:31:49.2314496Z quantized_decomposed_quantize_per_tensor_default_1285: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_84, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); aten_squeeze_copy_dims_84 = None 2025-03-21T20:31:49.2314632Z 2025-03-21T20:31:49.2315047Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.2316394Z quantized_decomposed_dequantize_per_tensor_default_1781: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1285, 6.415071402443573e-05, 32880, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1285 = None 2025-03-21T20:31:49.2317683Z aten_add_tensor_38: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1601, quantized_decomposed_dequantize_per_tensor_default_1781); quantized_decomposed_dequantize_per_tensor_default_1601 = quantized_decomposed_dequantize_per_tensor_default_1781 = None 2025-03-21T20:31:49.2318665Z quantized_decomposed_quantize_per_tensor_default_1286: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_38, 0.0026616528630256653, 5869, 0, 65535, torch.int32); aten_add_tensor_38 = None 2025-03-21T20:31:49.2318764Z 2025-03-21T20:31:49.2319353Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.2320408Z quantized_decomposed_dequantize_per_tensor_default_1782: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1286, 0.0026616528630256653, 5869, 0, 65535, torch.int32) 2025-03-21T20:31:49.2321736Z quantized_decomposed_dequantize_per_tensor_default_1783: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1286, 0.0026616528630256653, 5869, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1286 = None 2025-03-21T20:31:49.2322319Z aten_pow_tensor_scalar_15: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1783, 2) 2025-03-21T20:31:49.2322875Z 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 2025-03-21T20:31:49.2323375Z 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 2025-03-21T20:31:49.2323863Z 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 2025-03-21T20:31:49.2324843Z aten_mul_tensor_116: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1783, aten_rsqrt_default_15); quantized_decomposed_dequantize_per_tensor_default_1783 = aten_rsqrt_default_15 = None 2025-03-21T20:31:49.2325786Z aten_mul_tensor_117: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_116, quantized_decomposed_dequantize_per_tensor_default_69); aten_mul_tensor_116 = quantized_decomposed_dequantize_per_tensor_default_69 = None 2025-03-21T20:31:49.2326806Z quantized_decomposed_quantize_per_tensor_default_1287: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_117, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_mul_tensor_117 = None 2025-03-21T20:31:49.2326916Z 2025-03-21T20:31:49.2327529Z # 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) 2025-03-21T20:31:49.2328618Z quantized_decomposed_dequantize_per_tensor_default_1784: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1287, 0.0003230620641261339, 20283, 0, 65535, torch.int32) 2025-03-21T20:31:49.2329937Z quantized_decomposed_dequantize_per_tensor_default_1785: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1287, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1287 = None 2025-03-21T20:31:49.2330867Z aten_unsqueeze_copy_default_85: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1785, -1); quantized_decomposed_dequantize_per_tensor_default_1785 = None 2025-03-21T20:31:49.2331949Z quantized_decomposed_quantize_per_tensor_default_1288: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_85, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_unsqueeze_copy_default_85 = None 2025-03-21T20:31:49.2332057Z 2025-03-21T20:31:49.2332515Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.2333849Z quantized_decomposed_dequantize_per_tensor_default_1786: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1288, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1288 = None 2025-03-21T20:31:49.2334751Z aten_permute_copy_default_322: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1786, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1786 = None 2025-03-21T20:31:49.2335832Z quantized_decomposed_quantize_per_tensor_default_1289: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_322, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_permute_copy_default_322 = None 2025-03-21T20:31:49.2335930Z 2025-03-21T20:31:49.2336381Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.2337703Z quantized_decomposed_dequantize_per_tensor_default_1787: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1289, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1289 = None 2025-03-21T20:31:49.2339187Z aten_convolution_default_53: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1787, quantized_decomposed_dequantize_per_tensor_default_70, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1787 = quantized_decomposed_dequantize_per_tensor_default_70 = None 2025-03-21T20:31:49.2340301Z quantized_decomposed_quantize_per_tensor_default_1290: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_53, 0.0002114040544256568, 29834, 0, 65535, torch.int32); aten_convolution_default_53 = None 2025-03-21T20:31:49.2340398Z 2025-03-21T20:31:49.2340870Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.2342263Z quantized_decomposed_dequantize_per_tensor_default_1788: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1290, 0.0002114040544256568, 29834, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1290 = None 2025-03-21T20:31:49.2343180Z aten_permute_copy_default_323: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1788, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1788 = None 2025-03-21T20:31:49.2344271Z quantized_decomposed_quantize_per_tensor_default_1291: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_323, 0.0002114040544256568, 29834, 0, 65535, torch.int32); aten_permute_copy_default_323 = None 2025-03-21T20:31:49.2344370Z 2025-03-21T20:31:49.2344984Z # 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]) 2025-03-21T20:31:49.2346300Z quantized_decomposed_dequantize_per_tensor_default_1789: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1291, 0.0002114040544256568, 29834, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1291 = None 2025-03-21T20:31:49.2347176Z aten_squeeze_copy_dims_85: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1789, [-1]); quantized_decomposed_dequantize_per_tensor_default_1789 = None 2025-03-21T20:31:49.2348226Z quantized_decomposed_quantize_per_tensor_default_1292: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_85, 0.0002114040544256568, 29834, 0, 65535, torch.int32); aten_squeeze_copy_dims_85 = None 2025-03-21T20:31:49.2348324Z 2025-03-21T20:31:49.2348905Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.2350001Z quantized_decomposed_dequantize_per_tensor_default_1790: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1292, 0.0002114040544256568, 29834, 0, 65535, torch.int32) 2025-03-21T20:31:49.2351321Z quantized_decomposed_dequantize_per_tensor_default_1791: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1292, 0.0002114040544256568, 29834, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1292 = None 2025-03-21T20:31:49.2352180Z aten_sigmoid_default_7: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1791); quantized_decomposed_dequantize_per_tensor_default_1791 = None 2025-03-21T20:31:49.2353268Z quantized_decomposed_quantize_per_tensor_default_1293: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_7, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_7 = None 2025-03-21T20:31:49.2354572Z quantized_decomposed_dequantize_per_tensor_default_1792: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1293, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1293 = None 2025-03-21T20:31:49.2355932Z aten_mul_tensor_118: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1790, quantized_decomposed_dequantize_per_tensor_default_1792); quantized_decomposed_dequantize_per_tensor_default_1790 = quantized_decomposed_dequantize_per_tensor_default_1792 = None 2025-03-21T20:31:49.2356948Z quantized_decomposed_quantize_per_tensor_default_1294: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_118, 0.00011935368820559233, 2333, 0, 65535, torch.int32); aten_mul_tensor_118 = None 2025-03-21T20:31:49.2358288Z quantized_decomposed_dequantize_per_tensor_default_1793: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1294, 0.00011935368820559233, 2333, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1294 = None 2025-03-21T20:31:49.2358387Z 2025-03-21T20:31:49.2358980Z # 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) 2025-03-21T20:31:49.2359897Z aten_unsqueeze_copy_default_86: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1784, -1); quantized_decomposed_dequantize_per_tensor_default_1784 = None 2025-03-21T20:31:49.2360999Z quantized_decomposed_quantize_per_tensor_default_1295: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_86, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_unsqueeze_copy_default_86 = None 2025-03-21T20:31:49.2361095Z 2025-03-21T20:31:49.2361561Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.2362882Z quantized_decomposed_dequantize_per_tensor_default_1794: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1295, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1295 = None 2025-03-21T20:31:49.2363824Z aten_permute_copy_default_324: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1794, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1794 = None 2025-03-21T20:31:49.2364894Z quantized_decomposed_quantize_per_tensor_default_1296: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_324, 0.0003230620641261339, 20283, 0, 65535, torch.int32); aten_permute_copy_default_324 = None 2025-03-21T20:31:49.2365010Z 2025-03-21T20:31:49.2365420Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.2366939Z quantized_decomposed_dequantize_per_tensor_default_1795: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1296, 0.0003230620641261339, 20283, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1296 = None 2025-03-21T20:31:49.2368450Z aten_convolution_default_54: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1795, quantized_decomposed_dequantize_per_tensor_default_71, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1795 = quantized_decomposed_dequantize_per_tensor_default_71 = None 2025-03-21T20:31:49.2369575Z quantized_decomposed_quantize_per_tensor_default_1297: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_54, 0.00024151173420250416, 31646, 0, 65535, torch.int32); aten_convolution_default_54 = None 2025-03-21T20:31:49.2369674Z 2025-03-21T20:31:49.2370202Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.2371539Z quantized_decomposed_dequantize_per_tensor_default_1796: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1297, 0.00024151173420250416, 31646, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1297 = None 2025-03-21T20:31:49.2372467Z aten_permute_copy_default_325: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1796, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1796 = None 2025-03-21T20:31:49.2373548Z quantized_decomposed_quantize_per_tensor_default_1298: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_325, 0.00024151173420250416, 31646, 0, 65535, torch.int32); aten_permute_copy_default_325 = None 2025-03-21T20:31:49.2373664Z 2025-03-21T20:31:49.2374268Z # 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]) 2025-03-21T20:31:49.2375600Z quantized_decomposed_dequantize_per_tensor_default_1797: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1298, 0.00024151173420250416, 31646, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1298 = None 2025-03-21T20:31:49.2376469Z aten_squeeze_copy_dims_86: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1797, [-1]); quantized_decomposed_dequantize_per_tensor_default_1797 = None 2025-03-21T20:31:49.2377534Z quantized_decomposed_quantize_per_tensor_default_1299: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_86, 0.00024151173420250416, 31646, 0, 65535, torch.int32); aten_squeeze_copy_dims_86 = None 2025-03-21T20:31:49.2377668Z 2025-03-21T20:31:49.2378263Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.2379587Z quantized_decomposed_dequantize_per_tensor_default_1798: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1299, 0.00024151173420250416, 31646, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1299 = None 2025-03-21T20:31:49.2380910Z aten_mul_tensor_119: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1793, quantized_decomposed_dequantize_per_tensor_default_1798); quantized_decomposed_dequantize_per_tensor_default_1793 = quantized_decomposed_dequantize_per_tensor_default_1798 = None 2025-03-21T20:31:49.2381929Z quantized_decomposed_quantize_per_tensor_default_1300: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_119, 0.00026427191914990544, 35887, 0, 65535, torch.int32); aten_mul_tensor_119 = None 2025-03-21T20:31:49.2382040Z 2025-03-21T20:31:49.2382619Z # 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) 2025-03-21T20:31:49.2384001Z quantized_decomposed_dequantize_per_tensor_default_1799: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1300, 0.00026427191914990544, 35887, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1300 = None 2025-03-21T20:31:49.2384931Z aten_unsqueeze_copy_default_87: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1799, -1); quantized_decomposed_dequantize_per_tensor_default_1799 = None 2025-03-21T20:31:49.2386034Z quantized_decomposed_quantize_per_tensor_default_1301: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_87, 0.00026427191914990544, 35887, 0, 65535, torch.int32); aten_unsqueeze_copy_default_87 = None 2025-03-21T20:31:49.2386132Z 2025-03-21T20:31:49.2386600Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.2387931Z quantized_decomposed_dequantize_per_tensor_default_1800: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1301, 0.00026427191914990544, 35887, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1301 = None 2025-03-21T20:31:49.2388855Z aten_permute_copy_default_326: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1800, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1800 = None 2025-03-21T20:31:49.2389941Z quantized_decomposed_quantize_per_tensor_default_1302: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_326, 0.00026427191914990544, 35887, 0, 65535, torch.int32); aten_permute_copy_default_326 = None 2025-03-21T20:31:49.2390053Z 2025-03-21T20:31:49.2390458Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.2391850Z quantized_decomposed_dequantize_per_tensor_default_1801: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1302, 0.00026427191914990544, 35887, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1302 = None 2025-03-21T20:31:49.2393383Z aten_convolution_default_55: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1801, quantized_decomposed_dequantize_per_tensor_default_72, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1801 = quantized_decomposed_dequantize_per_tensor_default_72 = None 2025-03-21T20:31:49.2394467Z quantized_decomposed_quantize_per_tensor_default_1303: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_55, 0.00013502163346856833, 26548, 0, 65535, torch.int32); aten_convolution_default_55 = None 2025-03-21T20:31:49.2394594Z 2025-03-21T20:31:49.2395087Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.2396397Z quantized_decomposed_dequantize_per_tensor_default_1802: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1303, 0.00013502163346856833, 26548, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1303 = None 2025-03-21T20:31:49.2397347Z aten_permute_copy_default_327: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1802, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1802 = None 2025-03-21T20:31:49.2398438Z quantized_decomposed_quantize_per_tensor_default_1304: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_327, 0.00013502163346856833, 26548, 0, 65535, torch.int32); aten_permute_copy_default_327 = None 2025-03-21T20:31:49.2398551Z 2025-03-21T20:31:49.2399159Z # 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]) 2025-03-21T20:31:49.2400490Z quantized_decomposed_dequantize_per_tensor_default_1803: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1304, 0.00013502163346856833, 26548, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1304 = None 2025-03-21T20:31:49.2401355Z aten_squeeze_copy_dims_87: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1803, [-1]); quantized_decomposed_dequantize_per_tensor_default_1803 = None 2025-03-21T20:31:49.2402408Z quantized_decomposed_quantize_per_tensor_default_1305: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_87, 0.00013502163346856833, 26548, 0, 65535, torch.int32); aten_squeeze_copy_dims_87 = None 2025-03-21T20:31:49.2402507Z 2025-03-21T20:31:49.2403096Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.2404419Z quantized_decomposed_dequantize_per_tensor_default_1804: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1305, 0.00013502163346856833, 26548, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1305 = None 2025-03-21T20:31:49.2405749Z aten_add_tensor_39: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1782, quantized_decomposed_dequantize_per_tensor_default_1804); quantized_decomposed_dequantize_per_tensor_default_1782 = quantized_decomposed_dequantize_per_tensor_default_1804 = None 2025-03-21T20:31:49.2406718Z quantized_decomposed_quantize_per_tensor_default_1306: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_39, 0.0026549873873591423, 5846, 0, 65535, torch.int32); aten_add_tensor_39 = None 2025-03-21T20:31:49.2406829Z 2025-03-21T20:31:49.2407245Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.2408308Z quantized_decomposed_dequantize_per_tensor_default_1805: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1306, 0.0026549873873591423, 5846, 0, 65535, torch.int32) 2025-03-21T20:31:49.2408429Z 2025-03-21T20:31:49.2409079Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:49.2410380Z quantized_decomposed_dequantize_per_tensor_default_1806: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1306, 0.0026549873873591423, 5846, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1306 = None 2025-03-21T20:31:49.2410993Z aten_pow_tensor_scalar_16: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1806, 2) 2025-03-21T20:31:49.2411530Z 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 2025-03-21T20:31:49.2412048Z 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 2025-03-21T20:31:49.2412524Z 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 2025-03-21T20:31:49.2413516Z aten_mul_tensor_120: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1806, aten_rsqrt_default_16); quantized_decomposed_dequantize_per_tensor_default_1806 = aten_rsqrt_default_16 = None 2025-03-21T20:31:49.2414444Z aten_mul_tensor_121: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_120, quantized_decomposed_dequantize_per_tensor_default_73); aten_mul_tensor_120 = quantized_decomposed_dequantize_per_tensor_default_73 = None 2025-03-21T20:31:49.2415440Z quantized_decomposed_quantize_per_tensor_default_1307: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_121, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_mul_tensor_121 = None 2025-03-21T20:31:49.2415537Z 2025-03-21T20:31:49.2416129Z # 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) 2025-03-21T20:31:49.2417188Z quantized_decomposed_dequantize_per_tensor_default_1807: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1307, 0.0004401287587825209, 30665, 0, 65535, torch.int32) 2025-03-21T20:31:49.2418272Z quantized_decomposed_dequantize_per_tensor_default_1808: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1307, 0.0004401287587825209, 30665, 0, 65535, torch.int32) 2025-03-21T20:31:49.2419580Z quantized_decomposed_dequantize_per_tensor_default_1809: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1307, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1307 = None 2025-03-21T20:31:49.2420503Z aten_unsqueeze_copy_default_88: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1809, -1); quantized_decomposed_dequantize_per_tensor_default_1809 = None 2025-03-21T20:31:49.2421588Z quantized_decomposed_quantize_per_tensor_default_1308: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_88, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_unsqueeze_copy_default_88 = None 2025-03-21T20:31:49.2421727Z 2025-03-21T20:31:49.2422187Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.2423515Z quantized_decomposed_dequantize_per_tensor_default_1810: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1308, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1308 = None 2025-03-21T20:31:49.2424473Z aten_permute_copy_default_328: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1810, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1810 = None 2025-03-21T20:31:49.2425552Z quantized_decomposed_quantize_per_tensor_default_1309: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_328, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_permute_copy_default_328 = None 2025-03-21T20:31:49.2425650Z 2025-03-21T20:31:49.2426073Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.2427397Z quantized_decomposed_dequantize_per_tensor_default_1811: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1309, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1309 = None 2025-03-21T20:31:49.2428876Z aten_convolution_default_56: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1811, quantized_decomposed_dequantize_per_tensor_default_74, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1811 = quantized_decomposed_dequantize_per_tensor_default_74 = None 2025-03-21T20:31:49.2429937Z quantized_decomposed_quantize_per_tensor_default_1310: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_56, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_convolution_default_56 = None 2025-03-21T20:31:49.2430052Z 2025-03-21T20:31:49.2430525Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.2431866Z quantized_decomposed_dequantize_per_tensor_default_1812: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1310, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1310 = None 2025-03-21T20:31:49.2432904Z aten_permute_copy_default_329: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1812, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1812 = None 2025-03-21T20:31:49.2433989Z quantized_decomposed_quantize_per_tensor_default_1311: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_329, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_permute_copy_default_329 = None 2025-03-21T20:31:49.2434089Z 2025-03-21T20:31:49.2434711Z # 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]) 2025-03-21T20:31:49.2436066Z quantized_decomposed_dequantize_per_tensor_default_1813: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1311, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1311 = None 2025-03-21T20:31:49.2436935Z aten_squeeze_copy_dims_88: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1813, [-1]); quantized_decomposed_dequantize_per_tensor_default_1813 = None 2025-03-21T20:31:49.2438039Z quantized_decomposed_quantize_per_tensor_default_1312: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_88, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_squeeze_copy_dims_88 = None 2025-03-21T20:31:49.2438150Z 2025-03-21T20:31:49.2438733Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.2440066Z quantized_decomposed_dequantize_per_tensor_default_1814: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1312, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1312 = None 2025-03-21T20:31:49.2440166Z 2025-03-21T20:31:49.2440758Z # 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) 2025-03-21T20:31:49.2441679Z aten_unsqueeze_copy_default_89: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1808, -1); quantized_decomposed_dequantize_per_tensor_default_1808 = None 2025-03-21T20:31:49.2442776Z quantized_decomposed_quantize_per_tensor_default_1313: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_89, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_unsqueeze_copy_default_89 = None 2025-03-21T20:31:49.2442873Z 2025-03-21T20:31:49.2443336Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.2444653Z quantized_decomposed_dequantize_per_tensor_default_1815: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1313, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1313 = None 2025-03-21T20:31:49.2445602Z aten_permute_copy_default_330: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1815, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1815 = None 2025-03-21T20:31:49.2446672Z quantized_decomposed_quantize_per_tensor_default_1314: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_330, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_permute_copy_default_330 = None 2025-03-21T20:31:49.2446786Z 2025-03-21T20:31:49.2447196Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.2448522Z quantized_decomposed_dequantize_per_tensor_default_1816: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1314, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1314 = None 2025-03-21T20:31:49.2450012Z aten_convolution_default_57: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1816, quantized_decomposed_dequantize_per_tensor_default_75, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1816 = quantized_decomposed_dequantize_per_tensor_default_75 = None 2025-03-21T20:31:49.2451097Z quantized_decomposed_quantize_per_tensor_default_1315: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_57, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_convolution_default_57 = None 2025-03-21T20:31:49.2451192Z 2025-03-21T20:31:49.2451701Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.2453003Z quantized_decomposed_dequantize_per_tensor_default_1817: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1315, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1315 = None 2025-03-21T20:31:49.2453921Z aten_permute_copy_default_331: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1817, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1817 = None 2025-03-21T20:31:49.2454976Z quantized_decomposed_quantize_per_tensor_default_1316: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_331, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_permute_copy_default_331 = None 2025-03-21T20:31:49.2455087Z 2025-03-21T20:31:49.2455691Z # 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]) 2025-03-21T20:31:49.2457006Z quantized_decomposed_dequantize_per_tensor_default_1818: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1316, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1316 = None 2025-03-21T20:31:49.2457861Z aten_squeeze_copy_dims_89: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1818, [-1]); quantized_decomposed_dequantize_per_tensor_default_1818 = None 2025-03-21T20:31:49.2458890Z quantized_decomposed_quantize_per_tensor_default_1317: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_89, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_squeeze_copy_dims_89 = None 2025-03-21T20:31:49.2458991Z 2025-03-21T20:31:49.2459618Z # 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) 2025-03-21T20:31:49.2460929Z quantized_decomposed_dequantize_per_tensor_default_1819: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1317, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1317 = None 2025-03-21T20:31:49.2461045Z 2025-03-21T20:31:49.2461626Z # 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) 2025-03-21T20:31:49.2462553Z aten_unsqueeze_copy_default_90: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1807, -1); quantized_decomposed_dequantize_per_tensor_default_1807 = None 2025-03-21T20:31:49.2463659Z quantized_decomposed_quantize_per_tensor_default_1318: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_90, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_unsqueeze_copy_default_90 = None 2025-03-21T20:31:49.2463792Z 2025-03-21T20:31:49.2464245Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.2465589Z quantized_decomposed_dequantize_per_tensor_default_1820: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1318, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1318 = None 2025-03-21T20:31:49.2466515Z aten_permute_copy_default_332: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1820, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1820 = None 2025-03-21T20:31:49.2467767Z quantized_decomposed_quantize_per_tensor_default_1319: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_332, 0.0004401287587825209, 30665, 0, 65535, torch.int32); aten_permute_copy_default_332 = None 2025-03-21T20:31:49.2467866Z 2025-03-21T20:31:49.2468275Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.2469603Z quantized_decomposed_dequantize_per_tensor_default_1821: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1319, 0.0004401287587825209, 30665, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1319 = None 2025-03-21T20:31:49.2471070Z aten_convolution_default_58: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1821, quantized_decomposed_dequantize_per_tensor_default_76, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1821 = quantized_decomposed_dequantize_per_tensor_default_76 = None 2025-03-21T20:31:49.2472139Z quantized_decomposed_quantize_per_tensor_default_1320: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_58, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_convolution_default_58 = None 2025-03-21T20:31:49.2472251Z 2025-03-21T20:31:49.2472844Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.2474172Z quantized_decomposed_dequantize_per_tensor_default_1822: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1320, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1320 = None 2025-03-21T20:31:49.2475089Z aten_permute_copy_default_333: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1822, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1822 = None 2025-03-21T20:31:49.2476175Z quantized_decomposed_quantize_per_tensor_default_1321: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_333, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_333 = None 2025-03-21T20:31:49.2476314Z 2025-03-21T20:31:49.2476910Z # 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]) 2025-03-21T20:31:49.2478233Z quantized_decomposed_dequantize_per_tensor_default_1823: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1321, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1321 = None 2025-03-21T20:31:49.2479167Z aten_squeeze_copy_dims_90: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1823, [-1]); quantized_decomposed_dequantize_per_tensor_default_1823 = None 2025-03-21T20:31:49.2480195Z quantized_decomposed_quantize_per_tensor_default_1322: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_90, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_squeeze_copy_dims_90 = None 2025-03-21T20:31:49.2480305Z 2025-03-21T20:31:49.2480892Z # 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) 2025-03-21T20:31:49.2482206Z quantized_decomposed_dequantize_per_tensor_default_1824: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1322, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1322 = None 2025-03-21T20:31:49.2482317Z 2025-03-21T20:31:49.2482892Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.2483788Z aten_view_copy_default_144: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1814, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1814 = None 2025-03-21T20:31:49.2484833Z quantized_decomposed_quantize_per_tensor_default_1323: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_144, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_view_copy_default_144 = None 2025-03-21T20:31:49.2484945Z 2025-03-21T20:31:49.2486005Z # File: .50:4660 in forward, code: dequantize_per_tensor_default_1480 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1480, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantize_per_tensor_default_1480 = None 2025-03-21T20:31:49.2487356Z quantized_decomposed_dequantize_per_tensor_default_1825: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1323, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1323 = None 2025-03-21T20:31:49.2487455Z 2025-03-21T20:31:49.2488056Z # 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) 2025-03-21T20:31:49.2488922Z aten_view_copy_default_145: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1819, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1819 = None 2025-03-21T20:31:49.2489994Z quantized_decomposed_quantize_per_tensor_default_1324: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_145, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_view_copy_default_145 = None 2025-03-21T20:31:49.2490092Z 2025-03-21T20:31:49.2491158Z # File: .50:4663 in forward, code: dequantize_per_tensor_default_1481 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1481, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantize_per_tensor_default_1481 = None 2025-03-21T20:31:49.2492516Z quantized_decomposed_dequantize_per_tensor_default_1826: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1324, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1324 = None 2025-03-21T20:31:49.2492634Z 2025-03-21T20:31:49.2493221Z # 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) 2025-03-21T20:31:49.2494115Z aten_view_copy_default_146: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1824, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1824 = None 2025-03-21T20:31:49.2495143Z quantized_decomposed_quantize_per_tensor_default_1325: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_146, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_view_copy_default_146 = None 2025-03-21T20:31:49.2495253Z 2025-03-21T20:31:49.2496007Z # 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) 2025-03-21T20:31:49.2497345Z quantized_decomposed_dequantize_per_tensor_default_1827: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1325, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1325 = None 2025-03-21T20:31:49.2497442Z 2025-03-21T20:31:49.2498309Z # File: .50:4668 in forward, code: quantize_per_tensor_default_1483 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_16, 0.00033537388662807643, 31155, 0, 65535, torch.int32); _to_copy_16 = None 2025-03-21T20:31:49.2499627Z quantized_decomposed_quantize_per_tensor_default_1326: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1825, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1825 = None 2025-03-21T20:31:49.2499741Z 2025-03-21T20:31:49.2500351Z # 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) 2025-03-21T20:31:49.2501691Z quantized_decomposed_dequantize_per_tensor_default_1828: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1326, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1326 = None 2025-03-21T20:31:49.2502571Z aten_view_copy_default_147: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1828, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1828 = None 2025-03-21T20:31:49.2503653Z quantized_decomposed_quantize_per_tensor_default_1327: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_147, 0.00033537388662807643, 31155, 0, 65535, torch.int32); aten_view_copy_default_147 = None 2025-03-21T20:31:49.2504961Z quantized_decomposed_dequantize_per_tensor_default_1829: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1327, 0.00033537388662807643, 31155, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1327 = None 2025-03-21T20:31:49.2505606Z aten_slice_copy_tensor_32: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1829, 4, 0, 1) 2025-03-21T20:31:49.2506497Z aten_slice_copy_tensor_33: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1829, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1829 = None 2025-03-21T20:31:49.2507103Z 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 2025-03-21T20:31:49.2507682Z 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 2025-03-21T20:31:49.2508725Z quantized_decomposed_quantize_per_tensor_default_1328: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_91, 0.0003121877380181104, 28601, 0, 65535, torch.int32); aten_squeeze_copy_dims_91 = None 2025-03-21T20:31:49.2508826Z 2025-03-21T20:31:49.2509376Z # 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 2025-03-21T20:31:49.2510429Z quantized_decomposed_dequantize_per_tensor_default_1830: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1328, 0.0003121877380181104, 28601, 0, 65535, torch.int32) 2025-03-21T20:31:49.2510540Z 2025-03-21T20:31:49.2511068Z # 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 2025-03-21T20:31:49.2512394Z quantized_decomposed_dequantize_per_tensor_default_1831: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1328, 0.0003121877380181104, 28601, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1328 = None 2025-03-21T20:31:49.2512495Z 2025-03-21T20:31:49.2513221Z # 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) 2025-03-21T20:31:49.2514257Z quantized_decomposed_quantize_per_tensor_default_1329: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_92, 0.0003160475753247738, 33060, 0, 65535, torch.int32); aten_squeeze_copy_dims_92 = None 2025-03-21T20:31:49.2514374Z 2025-03-21T20:31:49.2514904Z # 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 2025-03-21T20:31:49.2515960Z quantized_decomposed_dequantize_per_tensor_default_1832: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1329, 0.0003160475753247738, 33060, 0, 65535, torch.int32) 2025-03-21T20:31:49.2516083Z 2025-03-21T20:31:49.2516612Z # 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 2025-03-21T20:31:49.2517940Z quantized_decomposed_dequantize_per_tensor_default_1833: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1329, 0.0003160475753247738, 33060, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1329 = None 2025-03-21T20:31:49.2518065Z 2025-03-21T20:31:49.2518959Z # File: .50:4683 in forward, code: quantize_per_tensor_default_1487 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_17, 0.00042168446816504, 35651, 0, 65535, torch.int32); _to_copy_17 = None 2025-03-21T20:31:49.2520246Z quantized_decomposed_quantize_per_tensor_default_1330: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1826, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1826 = None 2025-03-21T20:31:49.2520356Z 2025-03-21T20:31:49.2520939Z # 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) 2025-03-21T20:31:49.2522248Z quantized_decomposed_dequantize_per_tensor_default_1834: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1330, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1330 = None 2025-03-21T20:31:49.2523130Z aten_view_copy_default_148: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1834, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_1834 = None 2025-03-21T20:31:49.2524174Z quantized_decomposed_quantize_per_tensor_default_1331: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_148, 0.00042168446816504, 35651, 0, 65535, torch.int32); aten_view_copy_default_148 = None 2025-03-21T20:31:49.2525485Z quantized_decomposed_dequantize_per_tensor_default_1835: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1331, 0.00042168446816504, 35651, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1331 = None 2025-03-21T20:31:49.2526088Z aten_slice_copy_tensor_34: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1835, 4, 0, 1) 2025-03-21T20:31:49.2526981Z aten_slice_copy_tensor_35: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_1835, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_1835 = None 2025-03-21T20:31:49.2527567Z 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 2025-03-21T20:31:49.2528160Z 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 2025-03-21T20:31:49.2529185Z quantized_decomposed_quantize_per_tensor_default_1332: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_93, 0.0003787923196796328, 32268, 0, 65535, torch.int32); aten_squeeze_copy_dims_93 = None 2025-03-21T20:31:49.2529319Z 2025-03-21T20:31:49.2529857Z # 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 2025-03-21T20:31:49.2530908Z quantized_decomposed_dequantize_per_tensor_default_1836: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1332, 0.0003787923196796328, 32268, 0, 65535, torch.int32) 2025-03-21T20:31:49.2531043Z 2025-03-21T20:31:49.2531571Z # 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 2025-03-21T20:31:49.2532914Z quantized_decomposed_dequantize_per_tensor_default_1837: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1332, 0.0003787923196796328, 32268, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1332 = None 2025-03-21T20:31:49.2533013Z 2025-03-21T20:31:49.2533759Z # 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) 2025-03-21T20:31:49.2540531Z quantized_decomposed_quantize_per_tensor_default_1333: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_94, 0.00038380088517442346, 39170, 0, 65535, torch.int32); aten_squeeze_copy_dims_94 = None 2025-03-21T20:31:49.2540660Z 2025-03-21T20:31:49.2541230Z # 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 2025-03-21T20:31:49.2542300Z quantized_decomposed_dequantize_per_tensor_default_1838: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1333, 0.00038380088517442346, 39170, 0, 65535, torch.int32) 2025-03-21T20:31:49.2542415Z 2025-03-21T20:31:49.2542945Z # 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 2025-03-21T20:31:49.2544276Z quantized_decomposed_dequantize_per_tensor_default_1839: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1333, 0.00038380088517442346, 39170, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1333 = None 2025-03-21T20:31:49.2544376Z 2025-03-21T20:31:49.2544887Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.2545834Z aten_view_copy_default_149: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_154, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_154 = None 2025-03-21T20:31:49.2546879Z quantized_decomposed_quantize_per_tensor_default_1334: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_149, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_149 = None 2025-03-21T20:31:49.2546982Z 2025-03-21T20:31:49.2547531Z # 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 2025-03-21T20:31:49.2548579Z quantized_decomposed_dequantize_per_tensor_default_1840: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1334, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.2548732Z 2025-03-21T20:31:49.2549265Z # 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 2025-03-21T20:31:49.2550303Z quantized_decomposed_dequantize_per_tensor_default_1841: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1334, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.2550450Z 2025-03-21T20:31:49.2550976Z # 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 2025-03-21T20:31:49.2552067Z quantized_decomposed_dequantize_per_tensor_default_1842: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1334, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.2552166Z 2025-03-21T20:31:49.2552707Z # 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 2025-03-21T20:31:49.2554137Z quantized_decomposed_dequantize_per_tensor_default_1843: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1334, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1334 = None 2025-03-21T20:31:49.2554257Z 2025-03-21T20:31:49.2554747Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.2555630Z aten_view_copy_default_150: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_166, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_166 = None 2025-03-21T20:31:49.2556652Z quantized_decomposed_quantize_per_tensor_default_1335: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_150, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_150 = None 2025-03-21T20:31:49.2556768Z 2025-03-21T20:31:49.2557299Z # 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 2025-03-21T20:31:49.2558360Z quantized_decomposed_dequantize_per_tensor_default_1844: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1335, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.2558458Z 2025-03-21T20:31:49.2559024Z # 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 2025-03-21T20:31:49.2560069Z quantized_decomposed_dequantize_per_tensor_default_1845: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1335, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.2560181Z 2025-03-21T20:31:49.2560707Z # 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 2025-03-21T20:31:49.2561753Z quantized_decomposed_dequantize_per_tensor_default_1846: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1335, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.2561888Z 2025-03-21T20:31:49.2562412Z # 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 2025-03-21T20:31:49.2563726Z quantized_decomposed_dequantize_per_tensor_default_1847: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1335, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1335 = None 2025-03-21T20:31:49.2563852Z 2025-03-21T20:31:49.2564418Z # 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 2025-03-21T20:31:49.2565715Z aten_mul_tensor_122: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1831, quantized_decomposed_dequantize_per_tensor_default_1843); quantized_decomposed_dequantize_per_tensor_default_1831 = quantized_decomposed_dequantize_per_tensor_default_1843 = None 2025-03-21T20:31:49.2566985Z quantized_decomposed_quantize_per_tensor_default_1336: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_122, 0.00030949688516557217, 28792, 0, 65535, torch.int32); aten_mul_tensor_122 = None 2025-03-21T20:31:49.2568301Z quantized_decomposed_dequantize_per_tensor_default_1848: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1336, 0.00030949688516557217, 28792, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1336 = None 2025-03-21T20:31:49.2569621Z aten_mul_tensor_123: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1832, quantized_decomposed_dequantize_per_tensor_default_1846); quantized_decomposed_dequantize_per_tensor_default_1832 = quantized_decomposed_dequantize_per_tensor_default_1846 = None 2025-03-21T20:31:49.2570612Z quantized_decomposed_quantize_per_tensor_default_1337: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_123, 0.00016250982298515737, 35603, 0, 65535, torch.int32); aten_mul_tensor_123 = None 2025-03-21T20:31:49.2571917Z quantized_decomposed_dequantize_per_tensor_default_1849: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1337, 0.00016250982298515737, 35603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1337 = None 2025-03-21T20:31:49.2573288Z aten_sub_tensor_16: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1848, quantized_decomposed_dequantize_per_tensor_default_1849); quantized_decomposed_dequantize_per_tensor_default_1848 = quantized_decomposed_dequantize_per_tensor_default_1849 = None 2025-03-21T20:31:49.2574254Z quantized_decomposed_quantize_per_tensor_default_1338: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_16, 0.0003078577865380794, 28618, 0, 65535, torch.int32); aten_sub_tensor_16 = None 2025-03-21T20:31:49.2574367Z 2025-03-21T20:31:49.2575418Z # File: .50:4717 in forward, code: dequantize_per_tensor_default_1495 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1495, 0.0003078577865380794, 28618, 0, 65535, torch.int32); quantize_per_tensor_default_1495 = None 2025-03-21T20:31:49.2576778Z quantized_decomposed_dequantize_per_tensor_default_1850: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1338, 0.0003078577865380794, 28618, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1338 = None 2025-03-21T20:31:49.2576877Z 2025-03-21T20:31:49.2577431Z # 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 2025-03-21T20:31:49.2578801Z aten_mul_tensor_124: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1830, quantized_decomposed_dequantize_per_tensor_default_1847); quantized_decomposed_dequantize_per_tensor_default_1830 = quantized_decomposed_dequantize_per_tensor_default_1847 = None 2025-03-21T20:31:49.2579804Z quantized_decomposed_quantize_per_tensor_default_1339: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_124, 0.00012979988241568208, 32122, 0, 65535, torch.int32); aten_mul_tensor_124 = None 2025-03-21T20:31:49.2581127Z quantized_decomposed_dequantize_per_tensor_default_1851: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1339, 0.00012979988241568208, 32122, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1339 = None 2025-03-21T20:31:49.2582434Z aten_mul_tensor_125: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1833, quantized_decomposed_dequantize_per_tensor_default_1842); quantized_decomposed_dequantize_per_tensor_default_1833 = quantized_decomposed_dequantize_per_tensor_default_1842 = None 2025-03-21T20:31:49.2583418Z quantized_decomposed_quantize_per_tensor_default_1340: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_125, 0.0003096680738963187, 32788, 0, 65535, torch.int32); aten_mul_tensor_125 = None 2025-03-21T20:31:49.2584735Z quantized_decomposed_dequantize_per_tensor_default_1852: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1340, 0.0003096680738963187, 32788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1340 = None 2025-03-21T20:31:49.2586033Z aten_add_tensor_40: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1851, quantized_decomposed_dequantize_per_tensor_default_1852); quantized_decomposed_dequantize_per_tensor_default_1851 = quantized_decomposed_dequantize_per_tensor_default_1852 = None 2025-03-21T20:31:49.2587043Z quantized_decomposed_quantize_per_tensor_default_1341: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_40, 0.00031102492357604206, 32893, 0, 65535, torch.int32); aten_add_tensor_40 = None 2025-03-21T20:31:49.2587141Z 2025-03-21T20:31:49.2588223Z # File: .50:4726 in forward, code: dequantize_per_tensor_default_1498 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1498, 0.00031102492357604206, 32893, 0, 65535, torch.int32); quantize_per_tensor_default_1498 = None 2025-03-21T20:31:49.2589550Z quantized_decomposed_dequantize_per_tensor_default_1853: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1341, 0.00031102492357604206, 32893, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1341 = None 2025-03-21T20:31:49.2589697Z 2025-03-21T20:31:49.2590234Z # 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 2025-03-21T20:31:49.2591544Z aten_mul_tensor_126: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1837, quantized_decomposed_dequantize_per_tensor_default_1841); quantized_decomposed_dequantize_per_tensor_default_1837 = quantized_decomposed_dequantize_per_tensor_default_1841 = None 2025-03-21T20:31:49.2592544Z quantized_decomposed_quantize_per_tensor_default_1342: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_126, 0.00037348963087424636, 32361, 0, 65535, torch.int32); aten_mul_tensor_126 = None 2025-03-21T20:31:49.2593999Z quantized_decomposed_dequantize_per_tensor_default_1854: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1342, 0.00037348963087424636, 32361, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1342 = None 2025-03-21T20:31:49.2595308Z aten_mul_tensor_127: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1838, quantized_decomposed_dequantize_per_tensor_default_1844); quantized_decomposed_dequantize_per_tensor_default_1838 = quantized_decomposed_dequantize_per_tensor_default_1844 = None 2025-03-21T20:31:49.2596295Z quantized_decomposed_quantize_per_tensor_default_1343: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_127, 0.00014117307728156447, 32406, 0, 65535, torch.int32); aten_mul_tensor_127 = None 2025-03-21T20:31:49.2597635Z quantized_decomposed_dequantize_per_tensor_default_1855: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1343, 0.00014117307728156447, 32406, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1343 = None 2025-03-21T20:31:49.2598916Z aten_sub_tensor_17: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_1854, quantized_decomposed_dequantize_per_tensor_default_1855); quantized_decomposed_dequantize_per_tensor_default_1854 = quantized_decomposed_dequantize_per_tensor_default_1855 = None 2025-03-21T20:31:49.2599901Z quantized_decomposed_quantize_per_tensor_default_1344: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_17, 0.0003733103221748024, 32559, 0, 65535, torch.int32); aten_sub_tensor_17 = None 2025-03-21T20:31:49.2600003Z 2025-03-21T20:31:49.2601102Z # File: .50:4735 in forward, code: dequantize_per_tensor_default_1501 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1501, 0.0003733103221748024, 32559, 0, 65535, torch.int32); quantize_per_tensor_default_1501 = None 2025-03-21T20:31:49.2602408Z quantized_decomposed_dequantize_per_tensor_default_1856: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1344, 0.0003733103221748024, 32559, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1344 = None 2025-03-21T20:31:49.2602522Z 2025-03-21T20:31:49.2603060Z # 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 2025-03-21T20:31:49.2604372Z aten_mul_tensor_128: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1836, quantized_decomposed_dequantize_per_tensor_default_1845); quantized_decomposed_dequantize_per_tensor_default_1836 = quantized_decomposed_dequantize_per_tensor_default_1845 = None 2025-03-21T20:31:49.2605385Z quantized_decomposed_quantize_per_tensor_default_1345: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_128, 0.00018785295833367854, 29230, 0, 65535, torch.int32); aten_mul_tensor_128 = None 2025-03-21T20:31:49.2606757Z quantized_decomposed_dequantize_per_tensor_default_1857: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1345, 0.00018785295833367854, 29230, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1345 = None 2025-03-21T20:31:49.2608049Z aten_mul_tensor_129: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1839, quantized_decomposed_dequantize_per_tensor_default_1840); quantized_decomposed_dequantize_per_tensor_default_1839 = quantized_decomposed_dequantize_per_tensor_default_1840 = None 2025-03-21T20:31:49.2609039Z quantized_decomposed_quantize_per_tensor_default_1346: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_129, 0.00037025712663307786, 38747, 0, 65535, torch.int32); aten_mul_tensor_129 = None 2025-03-21T20:31:49.2610357Z quantized_decomposed_dequantize_per_tensor_default_1858: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1346, 0.00037025712663307786, 38747, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1346 = None 2025-03-21T20:31:49.2611656Z aten_add_tensor_41: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1857, quantized_decomposed_dequantize_per_tensor_default_1858); quantized_decomposed_dequantize_per_tensor_default_1857 = quantized_decomposed_dequantize_per_tensor_default_1858 = None 2025-03-21T20:31:49.2612637Z quantized_decomposed_quantize_per_tensor_default_1347: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_41, 0.0003686967247631401, 39138, 0, 65535, torch.int32); aten_add_tensor_41 = None 2025-03-21T20:31:49.2612736Z 2025-03-21T20:31:49.2613785Z # File: .50:4744 in forward, code: dequantize_per_tensor_default_1504 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1504, 0.0003686967247631401, 39138, 0, 65535, torch.int32); quantize_per_tensor_default_1504 = None 2025-03-21T20:31:49.2615124Z quantized_decomposed_dequantize_per_tensor_default_1859: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1347, 0.0003686967247631401, 39138, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1347 = None 2025-03-21T20:31:49.2615238Z 2025-03-21T20:31:49.2615819Z # 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) 2025-03-21T20:31:49.2616725Z aten_unsqueeze_copy_default_91: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1850, 4); quantized_decomposed_dequantize_per_tensor_default_1850 = None 2025-03-21T20:31:49.2617632Z aten_unsqueeze_copy_default_92: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1853, 4); quantized_decomposed_dequantize_per_tensor_default_1853 = None 2025-03-21T20:31:49.2618508Z 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 2025-03-21T20:31:49.2619486Z quantized_decomposed_quantize_per_tensor_default_1348: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_32, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_cat_default_32 = None 2025-03-21T20:31:49.2620850Z quantized_decomposed_dequantize_per_tensor_default_1860: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1348, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1348 = None 2025-03-21T20:31:49.2621719Z aten_view_copy_default_151: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1860, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1860 = None 2025-03-21T20:31:49.2622771Z quantized_decomposed_quantize_per_tensor_default_1349: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_151, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_view_copy_default_151 = None 2025-03-21T20:31:49.2622870Z 2025-03-21T20:31:49.2623932Z # File: .50:4750 in forward, code: dequantize_per_tensor_default_1506 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1506, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantize_per_tensor_default_1506 = None 2025-03-21T20:31:49.2625240Z quantized_decomposed_dequantize_per_tensor_default_1861: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1349, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1349 = None 2025-03-21T20:31:49.2625351Z 2025-03-21T20:31:49.2625938Z # 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) 2025-03-21T20:31:49.2626861Z aten_unsqueeze_copy_default_93: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1856, 4); quantized_decomposed_dequantize_per_tensor_default_1856 = None 2025-03-21T20:31:49.2627755Z aten_unsqueeze_copy_default_94: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1859, 4); quantized_decomposed_dequantize_per_tensor_default_1859 = None 2025-03-21T20:31:49.2628625Z 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 2025-03-21T20:31:49.2629600Z quantized_decomposed_quantize_per_tensor_default_1350: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_33, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_cat_default_33 = None 2025-03-21T20:31:49.2630927Z quantized_decomposed_dequantize_per_tensor_default_1862: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1350, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1350 = None 2025-03-21T20:31:49.2631823Z aten_view_copy_default_152: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1862, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_1862 = None 2025-03-21T20:31:49.2632927Z quantized_decomposed_quantize_per_tensor_default_1351: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_152, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_view_copy_default_152 = None 2025-03-21T20:31:49.2633059Z 2025-03-21T20:31:49.2634141Z # File: .50:4756 in forward, code: dequantize_per_tensor_default_1508 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1508, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1508 = None 2025-03-21T20:31:49.2635441Z quantized_decomposed_dequantize_per_tensor_default_1863: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1351, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1351 = None 2025-03-21T20:31:49.2635553Z 2025-03-21T20:31:49.2636401Z # File: .50:4758 in forward, code: quantize_per_tensor_default_1509 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_16, 0.0003295276255812496, 31046, 0, 65535, torch.int32); type_as_16 = None 2025-03-21T20:31:49.2637710Z quantized_decomposed_quantize_per_tensor_default_1352: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1861, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1861 = None 2025-03-21T20:31:49.2637808Z 2025-03-21T20:31:49.2638414Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.2639712Z quantized_decomposed_dequantize_per_tensor_default_1864: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1352, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1352 = None 2025-03-21T20:31:49.2639828Z 2025-03-21T20:31:49.2640673Z # File: .50:4761 in forward, code: quantize_per_tensor_default_1510 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_17, 0.000408027321100235, 35365, 0, 65535, torch.int32); type_as_17 = None 2025-03-21T20:31:49.2642037Z quantized_decomposed_quantize_per_tensor_default_1353: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1863, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_1863 = None 2025-03-21T20:31:49.2642134Z 2025-03-21T20:31:49.2642898Z # 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) 2025-03-21T20:31:49.2644200Z quantized_decomposed_dequantize_per_tensor_default_1865: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1353, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1353 = None 2025-03-21T20:31:49.2644337Z 2025-03-21T20:31:49.2644927Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.2645842Z aten_permute_copy_default_334: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1864, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1864 = None 2025-03-21T20:31:49.2646932Z quantized_decomposed_quantize_per_tensor_default_1354: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_334, 0.0003295276255812496, 31046, 0, 65535, torch.int32); aten_permute_copy_default_334 = None 2025-03-21T20:31:49.2647041Z 2025-03-21T20:31:49.2647710Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.2649038Z quantized_decomposed_dequantize_per_tensor_default_1866: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1354, 0.0003295276255812496, 31046, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1354 = None 2025-03-21T20:31:49.2649134Z 2025-03-21T20:31:49.2649883Z # 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) 2025-03-21T20:31:49.2651377Z aten_index_put_default_16: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_137, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1865); quantized_decomposed_dequantize_per_tensor_default_137 = quantized_decomposed_dequantize_per_tensor_default_1865 = None 2025-03-21T20:31:49.2652573Z quantized_decomposed_quantize_per_tensor_default_1355: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_16, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_index_put_default_16 = None 2025-03-21T20:31:49.2652676Z 2025-03-21T20:31:49.2653568Z # File: .50:4768 in forward, code: dequantize_per_tensor_default_1512 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1512, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2654641Z quantized_decomposed_dequantize_per_tensor_default_1867: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2654746Z 2025-03-21T20:31:49.2655511Z # 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) 2025-03-21T20:31:49.2656556Z quantized_decomposed_dequantize_per_tensor_default_1868: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2657623Z quantized_decomposed_dequantize_per_tensor_default_1869: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2658674Z quantized_decomposed_dequantize_per_tensor_default_1870: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2659857Z quantized_decomposed_dequantize_per_tensor_default_1871: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2660949Z quantized_decomposed_dequantize_per_tensor_default_1872: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2662025Z quantized_decomposed_dequantize_per_tensor_default_1873: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2663091Z quantized_decomposed_dequantize_per_tensor_default_1874: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2664141Z quantized_decomposed_dequantize_per_tensor_default_1875: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2665202Z quantized_decomposed_dequantize_per_tensor_default_1876: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2666250Z quantized_decomposed_dequantize_per_tensor_default_1877: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2667652Z quantized_decomposed_dequantize_per_tensor_default_1878: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32) 2025-03-21T20:31:49.2669051Z quantized_decomposed_dequantize_per_tensor_default_1879: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1355, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1355 = None 2025-03-21T20:31:49.2669169Z 2025-03-21T20:31:49.2669997Z # 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) 2025-03-21T20:31:49.2671483Z aten_index_put_default_17: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_138, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_1827); quantized_decomposed_dequantize_per_tensor_default_138 = quantized_decomposed_dequantize_per_tensor_default_1827 = None 2025-03-21T20:31:49.2672536Z quantized_decomposed_quantize_per_tensor_default_1356: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_17, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_index_put_default_17 = None 2025-03-21T20:31:49.2672689Z 2025-03-21T20:31:49.2673752Z # File: .50:4783 in forward, code: dequantize_per_tensor_default_1513 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1513, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2674823Z quantized_decomposed_dequantize_per_tensor_default_1880: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2674969Z 2025-03-21T20:31:49.2675708Z # 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) 2025-03-21T20:31:49.2676822Z quantized_decomposed_dequantize_per_tensor_default_1881: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2677891Z quantized_decomposed_dequantize_per_tensor_default_1882: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2678948Z quantized_decomposed_dequantize_per_tensor_default_1883: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2680015Z quantized_decomposed_dequantize_per_tensor_default_1884: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2681066Z quantized_decomposed_dequantize_per_tensor_default_1885: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2682131Z quantized_decomposed_dequantize_per_tensor_default_1886: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2683186Z quantized_decomposed_dequantize_per_tensor_default_1887: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2684275Z quantized_decomposed_dequantize_per_tensor_default_1888: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2685342Z quantized_decomposed_dequantize_per_tensor_default_1889: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2686391Z quantized_decomposed_dequantize_per_tensor_default_1890: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2687443Z quantized_decomposed_dequantize_per_tensor_default_1891: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32) 2025-03-21T20:31:49.2688788Z quantized_decomposed_dequantize_per_tensor_default_1892: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1356, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1356 = None 2025-03-21T20:31:49.2688933Z 2025-03-21T20:31:49.2689652Z # 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) 2025-03-21T20:31:49.2690622Z aten_permute_copy_default_335: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1879, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1879 = None 2025-03-21T20:31:49.2691693Z quantized_decomposed_quantize_per_tensor_default_1357: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_335, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_335 = None 2025-03-21T20:31:49.2693013Z quantized_decomposed_dequantize_per_tensor_default_1893: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1357, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1357 = None 2025-03-21T20:31:49.2693861Z aten_select_copy_int_384: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1893, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1893 = None 2025-03-21T20:31:49.2694892Z quantized_decomposed_quantize_per_tensor_default_1358: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_384, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_384 = None 2025-03-21T20:31:49.2696209Z quantized_decomposed_dequantize_per_tensor_default_1894: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1358, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1358 = None 2025-03-21T20:31:49.2697066Z aten_select_copy_int_385: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1894, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1894 = None 2025-03-21T20:31:49.2698105Z quantized_decomposed_quantize_per_tensor_default_1359: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_385, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_385 = None 2025-03-21T20:31:49.2698219Z 2025-03-21T20:31:49.2699271Z # File: .50:4804 in forward, code: dequantize_per_tensor_default_1516 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1516, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1516 = None 2025-03-21T20:31:49.2700605Z quantized_decomposed_dequantize_per_tensor_default_1895: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1359, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1359 = None 2025-03-21T20:31:49.2700731Z 2025-03-21T20:31:49.2701472Z # 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) 2025-03-21T20:31:49.2702389Z aten_permute_copy_default_336: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1878, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1878 = None 2025-03-21T20:31:49.2703524Z quantized_decomposed_quantize_per_tensor_default_1360: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_336, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_336 = None 2025-03-21T20:31:49.2704833Z quantized_decomposed_dequantize_per_tensor_default_1896: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1360, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1360 = None 2025-03-21T20:31:49.2705693Z aten_select_copy_int_386: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1896, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1896 = None 2025-03-21T20:31:49.2706719Z quantized_decomposed_quantize_per_tensor_default_1361: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_386, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_386 = None 2025-03-21T20:31:49.2708039Z quantized_decomposed_dequantize_per_tensor_default_1897: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1361, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1361 = None 2025-03-21T20:31:49.2708883Z aten_select_copy_int_387: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1897, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1897 = None 2025-03-21T20:31:49.2709899Z quantized_decomposed_quantize_per_tensor_default_1362: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_387, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_387 = None 2025-03-21T20:31:49.2710006Z 2025-03-21T20:31:49.2711051Z # File: .50:4813 in forward, code: dequantize_per_tensor_default_1519 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1519, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1519 = None 2025-03-21T20:31:49.2712396Z quantized_decomposed_dequantize_per_tensor_default_1898: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1362, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1362 = None 2025-03-21T20:31:49.2712495Z 2025-03-21T20:31:49.2713313Z # 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) 2025-03-21T20:31:49.2714242Z aten_permute_copy_default_337: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1877, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1877 = None 2025-03-21T20:31:49.2715351Z quantized_decomposed_quantize_per_tensor_default_1363: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_337, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_337 = None 2025-03-21T20:31:49.2716665Z quantized_decomposed_dequantize_per_tensor_default_1899: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1363, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1363 = None 2025-03-21T20:31:49.2717594Z aten_select_copy_int_388: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1899, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1899 = None 2025-03-21T20:31:49.2718619Z quantized_decomposed_quantize_per_tensor_default_1364: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_388, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_388 = None 2025-03-21T20:31:49.2719935Z quantized_decomposed_dequantize_per_tensor_default_1900: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1364, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1364 = None 2025-03-21T20:31:49.2720775Z aten_select_copy_int_389: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1900, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1900 = None 2025-03-21T20:31:49.2721799Z quantized_decomposed_quantize_per_tensor_default_1365: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_389, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_389 = None 2025-03-21T20:31:49.2721897Z 2025-03-21T20:31:49.2722969Z # File: .50:4822 in forward, code: dequantize_per_tensor_default_1522 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1522, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1522 = None 2025-03-21T20:31:49.2724271Z quantized_decomposed_dequantize_per_tensor_default_1901: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1365, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1365 = None 2025-03-21T20:31:49.2724387Z 2025-03-21T20:31:49.2725133Z # 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) 2025-03-21T20:31:49.2726058Z aten_permute_copy_default_338: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1876, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1876 = None 2025-03-21T20:31:49.2727121Z quantized_decomposed_quantize_per_tensor_default_1366: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_338, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_338 = None 2025-03-21T20:31:49.2728448Z quantized_decomposed_dequantize_per_tensor_default_1902: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1366, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1366 = None 2025-03-21T20:31:49.2729317Z aten_select_copy_int_390: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1902, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1902 = None 2025-03-21T20:31:49.2730350Z quantized_decomposed_quantize_per_tensor_default_1367: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_390, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_390 = None 2025-03-21T20:31:49.2731709Z quantized_decomposed_dequantize_per_tensor_default_1903: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1367, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1367 = None 2025-03-21T20:31:49.2732560Z aten_select_copy_int_391: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1903, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1903 = None 2025-03-21T20:31:49.2733573Z quantized_decomposed_quantize_per_tensor_default_1368: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_391, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_391 = None 2025-03-21T20:31:49.2733686Z 2025-03-21T20:31:49.2734742Z # File: .50:4831 in forward, code: dequantize_per_tensor_default_1525 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1525, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1525 = None 2025-03-21T20:31:49.2736073Z quantized_decomposed_dequantize_per_tensor_default_1904: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1368, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1368 = None 2025-03-21T20:31:49.2736172Z 2025-03-21T20:31:49.2736907Z # 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) 2025-03-21T20:31:49.2737831Z aten_permute_copy_default_339: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1875, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1875 = None 2025-03-21T20:31:49.2738947Z quantized_decomposed_quantize_per_tensor_default_1369: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_339, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_339 = None 2025-03-21T20:31:49.2740262Z quantized_decomposed_dequantize_per_tensor_default_1905: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1369, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1369 = None 2025-03-21T20:31:49.2741116Z aten_select_copy_int_392: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1905, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1905 = None 2025-03-21T20:31:49.2742144Z quantized_decomposed_quantize_per_tensor_default_1370: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_392, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_392 = None 2025-03-21T20:31:49.2743478Z quantized_decomposed_dequantize_per_tensor_default_1906: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1370, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1370 = None 2025-03-21T20:31:49.2744365Z aten_select_copy_int_393: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1906, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1906 = None 2025-03-21T20:31:49.2745401Z quantized_decomposed_quantize_per_tensor_default_1371: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_393, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_393 = None 2025-03-21T20:31:49.2745516Z 2025-03-21T20:31:49.2746568Z # File: .50:4840 in forward, code: dequantize_per_tensor_default_1528 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1528, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1528 = None 2025-03-21T20:31:49.2747876Z quantized_decomposed_dequantize_per_tensor_default_1907: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1371, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1371 = None 2025-03-21T20:31:49.2747977Z 2025-03-21T20:31:49.2748706Z # 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) 2025-03-21T20:31:49.2749620Z aten_permute_copy_default_340: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1874, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1874 = None 2025-03-21T20:31:49.2750698Z quantized_decomposed_quantize_per_tensor_default_1372: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_340, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_340 = None 2025-03-21T20:31:49.2752013Z quantized_decomposed_dequantize_per_tensor_default_1908: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1372, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1372 = None 2025-03-21T20:31:49.2753058Z aten_select_copy_int_394: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1908, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1908 = None 2025-03-21T20:31:49.2754082Z quantized_decomposed_quantize_per_tensor_default_1373: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_394, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_394 = None 2025-03-21T20:31:49.2755406Z quantized_decomposed_dequantize_per_tensor_default_1909: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1373, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1373 = None 2025-03-21T20:31:49.2756269Z aten_select_copy_int_395: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1909, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1909 = None 2025-03-21T20:31:49.2757309Z quantized_decomposed_quantize_per_tensor_default_1374: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_395, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_395 = None 2025-03-21T20:31:49.2757436Z 2025-03-21T20:31:49.2758507Z # File: .50:4849 in forward, code: dequantize_per_tensor_default_1531 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1531, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1531 = None 2025-03-21T20:31:49.2759838Z quantized_decomposed_dequantize_per_tensor_default_1910: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1374, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1374 = None 2025-03-21T20:31:49.2759955Z 2025-03-21T20:31:49.2760675Z # 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) 2025-03-21T20:31:49.2761606Z aten_permute_copy_default_341: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1873, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1873 = None 2025-03-21T20:31:49.2762670Z quantized_decomposed_quantize_per_tensor_default_1375: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_341, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_341 = None 2025-03-21T20:31:49.2764000Z quantized_decomposed_dequantize_per_tensor_default_1911: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1375, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1375 = None 2025-03-21T20:31:49.2764840Z aten_select_copy_int_396: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1911, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1911 = None 2025-03-21T20:31:49.2765876Z quantized_decomposed_quantize_per_tensor_default_1376: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_396, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_396 = None 2025-03-21T20:31:49.2767765Z quantized_decomposed_dequantize_per_tensor_default_1912: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1376, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1376 = None 2025-03-21T20:31:49.2768629Z aten_select_copy_int_397: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1912, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1912 = None 2025-03-21T20:31:49.2769653Z quantized_decomposed_quantize_per_tensor_default_1377: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_397, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_397 = None 2025-03-21T20:31:49.2769806Z 2025-03-21T20:31:49.2770858Z # File: .50:4858 in forward, code: dequantize_per_tensor_default_1534 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1534, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1534 = None 2025-03-21T20:31:49.2772184Z quantized_decomposed_dequantize_per_tensor_default_1913: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1377, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1377 = None 2025-03-21T20:31:49.2772322Z 2025-03-21T20:31:49.2773097Z # 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) 2025-03-21T20:31:49.2774017Z aten_permute_copy_default_342: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1872, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1872 = None 2025-03-21T20:31:49.2775100Z quantized_decomposed_quantize_per_tensor_default_1378: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_342, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_342 = None 2025-03-21T20:31:49.2776411Z quantized_decomposed_dequantize_per_tensor_default_1914: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1378, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1378 = None 2025-03-21T20:31:49.2777268Z aten_select_copy_int_398: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1914, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1914 = None 2025-03-21T20:31:49.2778298Z quantized_decomposed_quantize_per_tensor_default_1379: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_398, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_398 = None 2025-03-21T20:31:49.2779611Z quantized_decomposed_dequantize_per_tensor_default_1915: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1379, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1379 = None 2025-03-21T20:31:49.2780464Z aten_select_copy_int_399: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1915, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1915 = None 2025-03-21T20:31:49.2781499Z quantized_decomposed_quantize_per_tensor_default_1380: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_399, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_399 = None 2025-03-21T20:31:49.2781612Z 2025-03-21T20:31:49.2782661Z # File: .50:4867 in forward, code: dequantize_per_tensor_default_1537 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1537, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1537 = None 2025-03-21T20:31:49.2783980Z quantized_decomposed_dequantize_per_tensor_default_1916: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1380, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1380 = None 2025-03-21T20:31:49.2784106Z 2025-03-21T20:31:49.2784834Z # 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) 2025-03-21T20:31:49.2785746Z aten_permute_copy_default_343: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1871, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1871 = None 2025-03-21T20:31:49.2786874Z quantized_decomposed_quantize_per_tensor_default_1381: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_343, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_343 = None 2025-03-21T20:31:49.2788184Z quantized_decomposed_dequantize_per_tensor_default_1917: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1381, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1381 = None 2025-03-21T20:31:49.2789039Z aten_select_copy_int_400: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1917, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1917 = None 2025-03-21T20:31:49.2790049Z quantized_decomposed_quantize_per_tensor_default_1382: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_400, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_400 = None 2025-03-21T20:31:49.2791371Z quantized_decomposed_dequantize_per_tensor_default_1918: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1382, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1382 = None 2025-03-21T20:31:49.2792202Z aten_select_copy_int_401: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1918, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1918 = None 2025-03-21T20:31:49.2793329Z quantized_decomposed_quantize_per_tensor_default_1383: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_401, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_401 = None 2025-03-21T20:31:49.2793431Z 2025-03-21T20:31:49.2794539Z # File: .50:4876 in forward, code: dequantize_per_tensor_default_1540 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1540, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1540 = None 2025-03-21T20:31:49.2795840Z quantized_decomposed_dequantize_per_tensor_default_1919: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1383, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1383 = None 2025-03-21T20:31:49.2795954Z 2025-03-21T20:31:49.2796677Z # 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) 2025-03-21T20:31:49.2797607Z aten_permute_copy_default_344: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1870, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1870 = None 2025-03-21T20:31:49.2798709Z quantized_decomposed_quantize_per_tensor_default_1384: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_344, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_344 = None 2025-03-21T20:31:49.2800031Z quantized_decomposed_dequantize_per_tensor_default_1920: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1384, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1384 = None 2025-03-21T20:31:49.2800926Z aten_select_copy_int_402: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1920, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1920 = None 2025-03-21T20:31:49.2801963Z quantized_decomposed_quantize_per_tensor_default_1385: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_402, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_402 = None 2025-03-21T20:31:49.2803279Z quantized_decomposed_dequantize_per_tensor_default_1921: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1385, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1385 = None 2025-03-21T20:31:49.2804125Z aten_select_copy_int_403: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1921, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1921 = None 2025-03-21T20:31:49.2805154Z quantized_decomposed_quantize_per_tensor_default_1386: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_403, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_403 = None 2025-03-21T20:31:49.2805252Z 2025-03-21T20:31:49.2806294Z # File: .50:4885 in forward, code: dequantize_per_tensor_default_1543 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1543, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1543 = None 2025-03-21T20:31:49.2807617Z quantized_decomposed_dequantize_per_tensor_default_1922: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1386, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1386 = None 2025-03-21T20:31:49.2807731Z 2025-03-21T20:31:49.2808477Z # 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) 2025-03-21T20:31:49.2809390Z aten_permute_copy_default_345: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1869, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1869 = None 2025-03-21T20:31:49.2810475Z quantized_decomposed_quantize_per_tensor_default_1387: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_345, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_345 = None 2025-03-21T20:31:49.2811813Z quantized_decomposed_dequantize_per_tensor_default_1923: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1387, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1387 = None 2025-03-21T20:31:49.2812680Z aten_select_copy_int_404: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1923, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1923 = None 2025-03-21T20:31:49.2813737Z quantized_decomposed_quantize_per_tensor_default_1388: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_404, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_404 = None 2025-03-21T20:31:49.2815080Z quantized_decomposed_dequantize_per_tensor_default_1924: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1388, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1388 = None 2025-03-21T20:31:49.2815940Z aten_select_copy_int_405: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1924, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1924 = None 2025-03-21T20:31:49.2816950Z quantized_decomposed_quantize_per_tensor_default_1389: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_405, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_405 = None 2025-03-21T20:31:49.2817062Z 2025-03-21T20:31:49.2818119Z # File: .50:4894 in forward, code: dequantize_per_tensor_default_1546 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1546, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1546 = None 2025-03-21T20:31:49.2819445Z quantized_decomposed_dequantize_per_tensor_default_1925: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1389, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1389 = None 2025-03-21T20:31:49.2819546Z 2025-03-21T20:31:49.2820278Z # 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) 2025-03-21T20:31:49.2821196Z aten_permute_copy_default_346: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1868, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1868 = None 2025-03-21T20:31:49.2822301Z quantized_decomposed_quantize_per_tensor_default_1390: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_346, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_346 = None 2025-03-21T20:31:49.2823614Z quantized_decomposed_dequantize_per_tensor_default_1926: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1390, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1390 = None 2025-03-21T20:31:49.2824476Z aten_select_copy_int_406: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1926, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1926 = None 2025-03-21T20:31:49.2825522Z quantized_decomposed_quantize_per_tensor_default_1391: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_406, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_406 = None 2025-03-21T20:31:49.2826845Z quantized_decomposed_dequantize_per_tensor_default_1927: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1391, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1391 = None 2025-03-21T20:31:49.2827710Z aten_select_copy_int_407: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1927, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1927 = None 2025-03-21T20:31:49.2828758Z quantized_decomposed_quantize_per_tensor_default_1392: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_407, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_select_copy_int_407 = None 2025-03-21T20:31:49.2828875Z 2025-03-21T20:31:49.2829928Z # File: .50:4903 in forward, code: dequantize_per_tensor_default_1549 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1549, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1549 = None 2025-03-21T20:31:49.2831253Z quantized_decomposed_dequantize_per_tensor_default_1928: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1392, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1392 = None 2025-03-21T20:31:49.2831354Z 2025-03-21T20:31:49.2832085Z # 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) 2025-03-21T20:31:49.2838570Z aten_cat_default_34: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1895, quantized_decomposed_dequantize_per_tensor_default_1898, quantized_decomposed_dequantize_per_tensor_default_1901, quantized_decomposed_dequantize_per_tensor_default_1904, quantized_decomposed_dequantize_per_tensor_default_1907, quantized_decomposed_dequantize_per_tensor_default_1910, quantized_decomposed_dequantize_per_tensor_default_1913, quantized_decomposed_dequantize_per_tensor_default_1916, quantized_decomposed_dequantize_per_tensor_default_1919, quantized_decomposed_dequantize_per_tensor_default_1922, quantized_decomposed_dequantize_per_tensor_default_1925, quantized_decomposed_dequantize_per_tensor_default_1928]); quantized_decomposed_dequantize_per_tensor_default_1895 = quantized_decomposed_dequantize_per_tensor_default_1898 = quantized_decomposed_dequantize_per_tensor_default_1901 = quantized_decomposed_dequantize_per_tensor_default_1904 = quantized_decomposed_dequantize_per_tensor_default_1907 = quantized_decomposed_dequantize_per_tensor_default_1910 = quantized_decomposed_dequantize_per_tensor_default_1913 = quantized_decomposed_dequantize_per_tensor_default_1916 = quantized_decomposed_dequantize_per_tensor_default_1919 = quantized_decomposed_dequantize_per_tensor_default_1922 = quantized_decomposed_dequantize_per_tensor_default_1925 = quantized_decomposed_dequantize_per_tensor_default_1928 = None 2025-03-21T20:31:49.2839569Z quantized_decomposed_quantize_per_tensor_default_1393: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_34, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_cat_default_34 = None 2025-03-21T20:31:49.2840896Z quantized_decomposed_dequantize_per_tensor_default_1929: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1393, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1393 = None 2025-03-21T20:31:49.2841838Z aten_view_copy_default_153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1929, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1929 = None 2025-03-21T20:31:49.2842909Z quantized_decomposed_quantize_per_tensor_default_1394: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_153, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_view_copy_default_153 = None 2025-03-21T20:31:49.2843044Z 2025-03-21T20:31:49.2843697Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.2845025Z quantized_decomposed_dequantize_per_tensor_default_1930: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1394, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1394 = None 2025-03-21T20:31:49.2845125Z 2025-03-21T20:31:49.2845838Z # 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) 2025-03-21T20:31:49.2846762Z aten_permute_copy_default_347: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1892, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1892 = None 2025-03-21T20:31:49.2847843Z quantized_decomposed_quantize_per_tensor_default_1395: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_347, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_347 = None 2025-03-21T20:31:49.2849185Z quantized_decomposed_dequantize_per_tensor_default_1931: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1395, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1395 = None 2025-03-21T20:31:49.2850045Z aten_select_copy_int_408: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1931, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1931 = None 2025-03-21T20:31:49.2851097Z quantized_decomposed_quantize_per_tensor_default_1396: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_408, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_408 = None 2025-03-21T20:31:49.2852426Z quantized_decomposed_dequantize_per_tensor_default_1932: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1396, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1396 = None 2025-03-21T20:31:49.2853274Z aten_select_copy_int_409: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1932, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1932 = None 2025-03-21T20:31:49.2854307Z quantized_decomposed_quantize_per_tensor_default_1397: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_409, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_409 = None 2025-03-21T20:31:49.2854432Z 2025-03-21T20:31:49.2855503Z # File: .50:4918 in forward, code: dequantize_per_tensor_default_1554 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1554, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1554 = None 2025-03-21T20:31:49.2856875Z quantized_decomposed_dequantize_per_tensor_default_1933: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1397, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1397 = None 2025-03-21T20:31:49.2856989Z 2025-03-21T20:31:49.2857711Z # 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) 2025-03-21T20:31:49.2858636Z aten_permute_copy_default_348: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1891, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1891 = None 2025-03-21T20:31:49.2859708Z quantized_decomposed_quantize_per_tensor_default_1398: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_348, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_348 = None 2025-03-21T20:31:49.2861040Z quantized_decomposed_dequantize_per_tensor_default_1934: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1398, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1398 = None 2025-03-21T20:31:49.2861880Z aten_select_copy_int_410: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1934, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1934 = None 2025-03-21T20:31:49.2862915Z quantized_decomposed_quantize_per_tensor_default_1399: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_410, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_410 = None 2025-03-21T20:31:49.2864230Z quantized_decomposed_dequantize_per_tensor_default_1935: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1399, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1399 = None 2025-03-21T20:31:49.2865120Z aten_select_copy_int_411: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1935, 0, 1); quantized_decomposed_dequantize_per_tensor_default_1935 = None 2025-03-21T20:31:49.2866127Z quantized_decomposed_quantize_per_tensor_default_1400: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_411, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_411 = None 2025-03-21T20:31:49.2866241Z 2025-03-21T20:31:49.2867517Z # File: .50:4927 in forward, code: dequantize_per_tensor_default_1557 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1557, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1557 = None 2025-03-21T20:31:49.2868910Z quantized_decomposed_dequantize_per_tensor_default_1936: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1400, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1400 = None 2025-03-21T20:31:49.2869006Z 2025-03-21T20:31:49.2869742Z # 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) 2025-03-21T20:31:49.2870735Z aten_permute_copy_default_349: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1890, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1890 = None 2025-03-21T20:31:49.2871826Z quantized_decomposed_quantize_per_tensor_default_1401: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_349, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_349 = None 2025-03-21T20:31:49.2873220Z quantized_decomposed_dequantize_per_tensor_default_1937: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1401, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1401 = None 2025-03-21T20:31:49.2874078Z aten_select_copy_int_412: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1937, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1937 = None 2025-03-21T20:31:49.2875114Z quantized_decomposed_quantize_per_tensor_default_1402: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_412, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_412 = None 2025-03-21T20:31:49.2876434Z quantized_decomposed_dequantize_per_tensor_default_1938: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1402, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1402 = None 2025-03-21T20:31:49.2877284Z aten_select_copy_int_413: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1938, 0, 2); quantized_decomposed_dequantize_per_tensor_default_1938 = None 2025-03-21T20:31:49.2878299Z quantized_decomposed_quantize_per_tensor_default_1403: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_413, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_413 = None 2025-03-21T20:31:49.2878451Z 2025-03-21T20:31:49.2879503Z # File: .50:4936 in forward, code: dequantize_per_tensor_default_1560 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1560, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1560 = None 2025-03-21T20:31:49.2880827Z quantized_decomposed_dequantize_per_tensor_default_1939: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1403, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1403 = None 2025-03-21T20:31:49.2880923Z 2025-03-21T20:31:49.2881658Z # 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) 2025-03-21T20:31:49.2882607Z aten_permute_copy_default_350: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1889, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1889 = None 2025-03-21T20:31:49.2883685Z quantized_decomposed_quantize_per_tensor_default_1404: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_350, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_350 = None 2025-03-21T20:31:49.2885056Z quantized_decomposed_dequantize_per_tensor_default_1940: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1404, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1404 = None 2025-03-21T20:31:49.2885918Z aten_select_copy_int_414: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1940, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1940 = None 2025-03-21T20:31:49.2886934Z quantized_decomposed_quantize_per_tensor_default_1405: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_414, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_414 = None 2025-03-21T20:31:49.2888264Z quantized_decomposed_dequantize_per_tensor_default_1941: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1405, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1405 = None 2025-03-21T20:31:49.2889095Z aten_select_copy_int_415: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1941, 0, 3); quantized_decomposed_dequantize_per_tensor_default_1941 = None 2025-03-21T20:31:49.2890122Z quantized_decomposed_quantize_per_tensor_default_1406: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_415, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_415 = None 2025-03-21T20:31:49.2890221Z 2025-03-21T20:31:49.2891298Z # File: .50:4945 in forward, code: dequantize_per_tensor_default_1563 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1563, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1563 = None 2025-03-21T20:31:49.2892638Z quantized_decomposed_dequantize_per_tensor_default_1942: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1406, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1406 = None 2025-03-21T20:31:49.2892762Z 2025-03-21T20:31:49.2893485Z # 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) 2025-03-21T20:31:49.2894416Z aten_permute_copy_default_351: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1888, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1888 = None 2025-03-21T20:31:49.2895489Z quantized_decomposed_quantize_per_tensor_default_1407: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_351, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_351 = None 2025-03-21T20:31:49.2896842Z quantized_decomposed_dequantize_per_tensor_default_1943: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1407, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1407 = None 2025-03-21T20:31:49.2897708Z aten_select_copy_int_416: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1943, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1943 = None 2025-03-21T20:31:49.2898768Z quantized_decomposed_quantize_per_tensor_default_1408: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_416, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_416 = None 2025-03-21T20:31:49.2900089Z quantized_decomposed_dequantize_per_tensor_default_1944: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1408, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1408 = None 2025-03-21T20:31:49.2900940Z aten_select_copy_int_417: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1944, 0, 4); quantized_decomposed_dequantize_per_tensor_default_1944 = None 2025-03-21T20:31:49.2901954Z quantized_decomposed_quantize_per_tensor_default_1409: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_417, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_417 = None 2025-03-21T20:31:49.2902066Z 2025-03-21T20:31:49.2903129Z # File: .50:4954 in forward, code: dequantize_per_tensor_default_1566 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1566, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1566 = None 2025-03-21T20:31:49.2904443Z quantized_decomposed_dequantize_per_tensor_default_1945: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1409, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1409 = None 2025-03-21T20:31:49.2904541Z 2025-03-21T20:31:49.2905273Z # 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) 2025-03-21T20:31:49.2906210Z aten_permute_copy_default_352: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1887, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1887 = None 2025-03-21T20:31:49.2907299Z quantized_decomposed_quantize_per_tensor_default_1410: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_352, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_352 = None 2025-03-21T20:31:49.2908633Z quantized_decomposed_dequantize_per_tensor_default_1946: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1410, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1410 = None 2025-03-21T20:31:49.2909500Z aten_select_copy_int_418: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1946, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1946 = None 2025-03-21T20:31:49.2910541Z quantized_decomposed_quantize_per_tensor_default_1411: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_418, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_418 = None 2025-03-21T20:31:49.2911891Z quantized_decomposed_dequantize_per_tensor_default_1947: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1411, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1411 = None 2025-03-21T20:31:49.2912765Z aten_select_copy_int_419: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1947, 0, 5); quantized_decomposed_dequantize_per_tensor_default_1947 = None 2025-03-21T20:31:49.2914223Z quantized_decomposed_quantize_per_tensor_default_1412: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_419, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_419 = None 2025-03-21T20:31:49.2914346Z 2025-03-21T20:31:49.2915401Z # File: .50:4963 in forward, code: dequantize_per_tensor_default_1569 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1569, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1569 = None 2025-03-21T20:31:49.2916734Z quantized_decomposed_dequantize_per_tensor_default_1948: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1412, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1412 = None 2025-03-21T20:31:49.2916837Z 2025-03-21T20:31:49.2917573Z # 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) 2025-03-21T20:31:49.2918490Z aten_permute_copy_default_353: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1886, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1886 = None 2025-03-21T20:31:49.2919581Z quantized_decomposed_quantize_per_tensor_default_1413: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_353, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_353 = None 2025-03-21T20:31:49.2920944Z quantized_decomposed_dequantize_per_tensor_default_1949: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1413, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1413 = None 2025-03-21T20:31:49.2921799Z aten_select_copy_int_420: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1949, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1949 = None 2025-03-21T20:31:49.2922819Z quantized_decomposed_quantize_per_tensor_default_1414: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_420, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_420 = None 2025-03-21T20:31:49.2924175Z quantized_decomposed_dequantize_per_tensor_default_1950: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1414, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1414 = None 2025-03-21T20:31:49.2925011Z aten_select_copy_int_421: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1950, 0, 6); quantized_decomposed_dequantize_per_tensor_default_1950 = None 2025-03-21T20:31:49.2926095Z quantized_decomposed_quantize_per_tensor_default_1415: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_421, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_421 = None 2025-03-21T20:31:49.2926191Z 2025-03-21T20:31:49.2927268Z # File: .50:4972 in forward, code: dequantize_per_tensor_default_1572 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1572, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1572 = None 2025-03-21T20:31:49.2928580Z quantized_decomposed_dequantize_per_tensor_default_1951: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1415, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1415 = None 2025-03-21T20:31:49.2928690Z 2025-03-21T20:31:49.2929404Z # 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) 2025-03-21T20:31:49.2930335Z aten_permute_copy_default_354: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1885, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1885 = None 2025-03-21T20:31:49.2931409Z quantized_decomposed_quantize_per_tensor_default_1416: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_354, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_354 = None 2025-03-21T20:31:49.2932743Z quantized_decomposed_dequantize_per_tensor_default_1952: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1416, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1416 = None 2025-03-21T20:31:49.2933587Z aten_select_copy_int_422: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1952, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1952 = None 2025-03-21T20:31:49.2934641Z quantized_decomposed_quantize_per_tensor_default_1417: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_422, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_422 = None 2025-03-21T20:31:49.2935971Z quantized_decomposed_dequantize_per_tensor_default_1953: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1417, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1417 = None 2025-03-21T20:31:49.2936811Z aten_select_copy_int_423: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1953, 0, 7); quantized_decomposed_dequantize_per_tensor_default_1953 = None 2025-03-21T20:31:49.2937867Z quantized_decomposed_quantize_per_tensor_default_1418: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_423, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_423 = None 2025-03-21T20:31:49.2937963Z 2025-03-21T20:31:49.2939032Z # File: .50:4981 in forward, code: dequantize_per_tensor_default_1575 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1575, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1575 = None 2025-03-21T20:31:49.2940394Z quantized_decomposed_dequantize_per_tensor_default_1954: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1418, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1418 = None 2025-03-21T20:31:49.2940508Z 2025-03-21T20:31:49.2941228Z # 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) 2025-03-21T20:31:49.2942139Z aten_permute_copy_default_355: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1884, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1884 = None 2025-03-21T20:31:49.2943223Z quantized_decomposed_quantize_per_tensor_default_1419: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_355, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_355 = None 2025-03-21T20:31:49.2944558Z quantized_decomposed_dequantize_per_tensor_default_1955: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1419, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1419 = None 2025-03-21T20:31:49.2945398Z aten_select_copy_int_424: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1955, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1955 = None 2025-03-21T20:31:49.2946427Z quantized_decomposed_quantize_per_tensor_default_1420: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_424, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_424 = None 2025-03-21T20:31:49.2947773Z quantized_decomposed_dequantize_per_tensor_default_1956: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1420, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1420 = None 2025-03-21T20:31:49.2948634Z aten_select_copy_int_425: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1956, 0, 8); quantized_decomposed_dequantize_per_tensor_default_1956 = None 2025-03-21T20:31:49.2949654Z quantized_decomposed_quantize_per_tensor_default_1421: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_425, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_425 = None 2025-03-21T20:31:49.2949762Z 2025-03-21T20:31:49.2950822Z # File: .50:4990 in forward, code: dequantize_per_tensor_default_1578 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1578, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1578 = None 2025-03-21T20:31:49.2952176Z quantized_decomposed_dequantize_per_tensor_default_1957: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1421, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1421 = None 2025-03-21T20:31:49.2952309Z 2025-03-21T20:31:49.2953130Z # 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) 2025-03-21T20:31:49.2954066Z aten_permute_copy_default_356: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1883, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1883 = None 2025-03-21T20:31:49.2955157Z quantized_decomposed_quantize_per_tensor_default_1422: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_356, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_356 = None 2025-03-21T20:31:49.2956473Z quantized_decomposed_dequantize_per_tensor_default_1958: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1422, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1422 = None 2025-03-21T20:31:49.2957332Z aten_select_copy_int_426: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1958, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1958 = None 2025-03-21T20:31:49.2958353Z quantized_decomposed_quantize_per_tensor_default_1423: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_426, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_426 = None 2025-03-21T20:31:49.2959671Z quantized_decomposed_dequantize_per_tensor_default_1959: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1423, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1423 = None 2025-03-21T20:31:49.2960517Z aten_select_copy_int_427: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1959, 0, 9); quantized_decomposed_dequantize_per_tensor_default_1959 = None 2025-03-21T20:31:49.2961579Z quantized_decomposed_quantize_per_tensor_default_1424: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_427, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_427 = None 2025-03-21T20:31:49.2961676Z 2025-03-21T20:31:49.2962749Z # File: .50:4999 in forward, code: dequantize_per_tensor_default_1581 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1581, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1581 = None 2025-03-21T20:31:49.2964070Z quantized_decomposed_dequantize_per_tensor_default_1960: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1424, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1424 = None 2025-03-21T20:31:49.2964205Z 2025-03-21T20:31:49.2964924Z # 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) 2025-03-21T20:31:49.2965849Z aten_permute_copy_default_357: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1882, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1882 = None 2025-03-21T20:31:49.2967195Z quantized_decomposed_quantize_per_tensor_default_1425: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_357, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_357 = None 2025-03-21T20:31:49.2968637Z quantized_decomposed_dequantize_per_tensor_default_1961: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1425, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1425 = None 2025-03-21T20:31:49.2969498Z aten_select_copy_int_428: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1961, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1961 = None 2025-03-21T20:31:49.2970528Z quantized_decomposed_quantize_per_tensor_default_1426: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_428, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_428 = None 2025-03-21T20:31:49.2971864Z quantized_decomposed_dequantize_per_tensor_default_1962: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1426, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1426 = None 2025-03-21T20:31:49.2972708Z aten_select_copy_int_429: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1962, 0, 10); quantized_decomposed_dequantize_per_tensor_default_1962 = None 2025-03-21T20:31:49.2973742Z quantized_decomposed_quantize_per_tensor_default_1427: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_429, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_429 = None 2025-03-21T20:31:49.2973842Z 2025-03-21T20:31:49.2974914Z # File: .50:5008 in forward, code: dequantize_per_tensor_default_1584 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1584, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1584 = None 2025-03-21T20:31:49.2976263Z quantized_decomposed_dequantize_per_tensor_default_1963: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1427, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1427 = None 2025-03-21T20:31:49.2976377Z 2025-03-21T20:31:49.2977095Z # 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) 2025-03-21T20:31:49.2978023Z aten_permute_copy_default_358: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1881, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1881 = None 2025-03-21T20:31:49.2979126Z quantized_decomposed_quantize_per_tensor_default_1428: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_358, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_permute_copy_default_358 = None 2025-03-21T20:31:49.2980455Z quantized_decomposed_dequantize_per_tensor_default_1964: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1428, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1428 = None 2025-03-21T20:31:49.2981354Z aten_select_copy_int_430: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1964, 0, 0); quantized_decomposed_dequantize_per_tensor_default_1964 = None 2025-03-21T20:31:49.2982387Z quantized_decomposed_quantize_per_tensor_default_1429: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_430, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_430 = None 2025-03-21T20:31:49.2983701Z quantized_decomposed_dequantize_per_tensor_default_1965: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1429, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1429 = None 2025-03-21T20:31:49.2984554Z aten_select_copy_int_431: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_1965, 0, 11); quantized_decomposed_dequantize_per_tensor_default_1965 = None 2025-03-21T20:31:49.2985576Z quantized_decomposed_quantize_per_tensor_default_1430: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_431, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_select_copy_int_431 = None 2025-03-21T20:31:49.2985692Z 2025-03-21T20:31:49.2986744Z # File: .50:5017 in forward, code: dequantize_per_tensor_default_1587 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1587, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1587 = None 2025-03-21T20:31:49.2988064Z quantized_decomposed_dequantize_per_tensor_default_1966: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1430, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1430 = None 2025-03-21T20:31:49.2988162Z 2025-03-21T20:31:49.2988896Z # 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) 2025-03-21T20:31:49.2995382Z aten_cat_default_35: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_1933, quantized_decomposed_dequantize_per_tensor_default_1936, quantized_decomposed_dequantize_per_tensor_default_1939, quantized_decomposed_dequantize_per_tensor_default_1942, quantized_decomposed_dequantize_per_tensor_default_1945, quantized_decomposed_dequantize_per_tensor_default_1948, quantized_decomposed_dequantize_per_tensor_default_1951, quantized_decomposed_dequantize_per_tensor_default_1954, quantized_decomposed_dequantize_per_tensor_default_1957, quantized_decomposed_dequantize_per_tensor_default_1960, quantized_decomposed_dequantize_per_tensor_default_1963, quantized_decomposed_dequantize_per_tensor_default_1966]); quantized_decomposed_dequantize_per_tensor_default_1933 = quantized_decomposed_dequantize_per_tensor_default_1936 = quantized_decomposed_dequantize_per_tensor_default_1939 = quantized_decomposed_dequantize_per_tensor_default_1942 = quantized_decomposed_dequantize_per_tensor_default_1945 = quantized_decomposed_dequantize_per_tensor_default_1948 = quantized_decomposed_dequantize_per_tensor_default_1951 = quantized_decomposed_dequantize_per_tensor_default_1954 = quantized_decomposed_dequantize_per_tensor_default_1957 = quantized_decomposed_dequantize_per_tensor_default_1960 = quantized_decomposed_dequantize_per_tensor_default_1963 = quantized_decomposed_dequantize_per_tensor_default_1966 = None 2025-03-21T20:31:49.2996421Z quantized_decomposed_quantize_per_tensor_default_1431: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_35, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_cat_default_35 = None 2025-03-21T20:31:49.2997779Z quantized_decomposed_dequantize_per_tensor_default_1967: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1431, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1431 = None 2025-03-21T20:31:49.2998673Z aten_view_copy_default_154: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1967, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1967 = None 2025-03-21T20:31:49.2999732Z quantized_decomposed_quantize_per_tensor_default_1432: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_154, 0.0001714634709060192, 32914, 0, 65535, torch.int32); aten_view_copy_default_154 = None 2025-03-21T20:31:49.2999829Z 2025-03-21T20:31:49.3000898Z # File: .50:5023 in forward, code: dequantize_per_tensor_default_1589 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1589, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantize_per_tensor_default_1589 = None 2025-03-21T20:31:49.3002227Z quantized_decomposed_dequantize_per_tensor_default_1968: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1432, 0.0001714634709060192, 32914, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1432 = None 2025-03-21T20:31:49.3002344Z 2025-03-21T20:31:49.3003420Z # File: .50:5024 in forward, code: quantize_per_tensor_default_1590 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1589, 0.00017223355825990438, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1589 = None 2025-03-21T20:31:49.3004797Z quantized_decomposed_quantize_per_tensor_default_1433: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1968, 0.00017223355825990438, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1968 = None 2025-03-21T20:31:49.3004901Z 2025-03-21T20:31:49.3005439Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.3006764Z quantized_decomposed_dequantize_per_tensor_default_1969: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1433, 0.00017223355825990438, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1433 = None 2025-03-21T20:31:49.3006876Z 2025-03-21T20:31:49.3007430Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:49.3008384Z aten_index_tensor_10: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_139, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_139 = None 2025-03-21T20:31:49.3009376Z quantized_decomposed_quantize_per_tensor_default_1434: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_10, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_10 = None 2025-03-21T20:31:49.3009514Z 2025-03-21T20:31:49.3010052Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.3011408Z quantized_decomposed_dequantize_per_tensor_default_1970: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1434, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1434 = None 2025-03-21T20:31:49.3011510Z 2025-03-21T20:31:49.3012173Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.3013095Z aten_permute_copy_default_359: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1930, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_1930 = None 2025-03-21T20:31:49.3014180Z quantized_decomposed_quantize_per_tensor_default_1435: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_359, 0.000408027321100235, 35365, 0, 65535, torch.int32); aten_permute_copy_default_359 = None 2025-03-21T20:31:49.3014280Z 2025-03-21T20:31:49.3015350Z # File: .50:5031 in forward, code: dequantize_per_tensor_default_1592 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1592, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantize_per_tensor_default_1592 = None 2025-03-21T20:31:49.3016670Z quantized_decomposed_dequantize_per_tensor_default_1971: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1435, 0.000408027321100235, 35365, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1435 = None 2025-03-21T20:31:49.3016786Z 2025-03-21T20:31:49.3017853Z # File: .50:5032 in forward, code: quantize_per_tensor_default_1593 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1592, 0.00044038108899258077, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1592 = None 2025-03-21T20:31:49.3019226Z quantized_decomposed_quantize_per_tensor_default_1436: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_1971, 0.00044038108899258077, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_1971 = None 2025-03-21T20:31:49.3019328Z 2025-03-21T20:31:49.3019997Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.3021327Z quantized_decomposed_dequantize_per_tensor_default_1972: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1436, 0.00044038108899258077, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1436 = None 2025-03-21T20:31:49.3022262Z aten_expand_copy_default_32: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1866, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_1866 = None 2025-03-21T20:31:49.3022890Z 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 2025-03-21T20:31:49.3023834Z aten_expand_copy_default_33: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1972, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_1972 = None 2025-03-21T20:31:49.3024499Z 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 2025-03-21T20:31:49.3025266Z 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 2025-03-21T20:31:49.3025848Z 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 2025-03-21T20:31:49.3026908Z quantized_decomposed_quantize_per_tensor_default_1437: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_157, 0.0028048588428646326, 32779, 0, 65535, torch.int32); aten_view_copy_default_157 = None 2025-03-21T20:31:49.3028228Z quantized_decomposed_dequantize_per_tensor_default_1973: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1437, 0.0028048588428646326, 32779, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1437 = None 2025-03-21T20:31:49.3029222Z quantized_decomposed_dequantize_per_tensor_default_1974: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param157, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param157 = None 2025-03-21T20:31:49.3030525Z aten_mul_tensor_130: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1973, quantized_decomposed_dequantize_per_tensor_default_1974); quantized_decomposed_dequantize_per_tensor_default_1973 = quantized_decomposed_dequantize_per_tensor_default_1974 = None 2025-03-21T20:31:49.3031549Z quantized_decomposed_quantize_per_tensor_default_1438: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_130, 0.0003506073553580791, 32779, 0, 65535, torch.int32); aten_mul_tensor_130 = None 2025-03-21T20:31:49.3031650Z 2025-03-21T20:31:49.3032203Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.3033609Z quantized_decomposed_dequantize_per_tensor_default_1975: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1438, 0.0003506073553580791, 32779, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1438 = None 2025-03-21T20:31:49.3034924Z aten_add_tensor_42: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1975, quantized_decomposed_dequantize_per_tensor_default_1970); quantized_decomposed_dequantize_per_tensor_default_1975 = quantized_decomposed_dequantize_per_tensor_default_1970 = None 2025-03-21T20:31:49.3035929Z quantized_decomposed_quantize_per_tensor_default_1439: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_42, 0.0042004697024822235, 62801, 0, 65535, torch.int32); aten_add_tensor_42 = None 2025-03-21T20:31:49.3036066Z 2025-03-21T20:31:49.3036703Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:49.3038057Z quantized_decomposed_dequantize_per_tensor_default_1976: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1439, 0.0042004697024822235, 62801, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1439 = None 2025-03-21T20:31:49.3038951Z aten__softmax_default_8: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_1976, -1, False); quantized_decomposed_dequantize_per_tensor_default_1976 = None 2025-03-21T20:31:49.3039972Z quantized_decomposed_quantize_per_tensor_default_1440: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_8, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_8 = None 2025-03-21T20:31:49.3040071Z 2025-03-21T20:31:49.3040605Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.3041908Z quantized_decomposed_dequantize_per_tensor_default_1977: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1440, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1440 = None 2025-03-21T20:31:49.3042821Z aten_expand_copy_default_34: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1977, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_1977 = None 2025-03-21T20:31:49.3043460Z 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 2025-03-21T20:31:49.3044386Z aten_expand_copy_default_35: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_1969, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_1969 = None 2025-03-21T20:31:49.3045063Z 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 2025-03-21T20:31:49.3045819Z 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 2025-03-21T20:31:49.3046398Z 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 2025-03-21T20:31:49.3047445Z quantized_decomposed_quantize_per_tensor_default_1441: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_160, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_view_copy_default_160 = None 2025-03-21T20:31:49.3047568Z 2025-03-21T20:31:49.3048290Z # 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) 2025-03-21T20:31:49.3049611Z quantized_decomposed_dequantize_per_tensor_default_1978: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1441, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1441 = None 2025-03-21T20:31:49.3050555Z aten_permute_copy_default_360: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1978, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1978 = None 2025-03-21T20:31:49.3051638Z quantized_decomposed_quantize_per_tensor_default_1442: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_360, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_permute_copy_default_360 = None 2025-03-21T20:31:49.3052964Z quantized_decomposed_dequantize_per_tensor_default_1979: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1442, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1442 = None 2025-03-21T20:31:49.3053853Z aten_view_copy_default_161: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_1979, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_1979 = None 2025-03-21T20:31:49.3054888Z quantized_decomposed_quantize_per_tensor_default_1443: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_161, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_view_copy_default_161 = None 2025-03-21T20:31:49.3055002Z 2025-03-21T20:31:49.3055588Z # 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) 2025-03-21T20:31:49.3056915Z quantized_decomposed_dequantize_per_tensor_default_1980: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1443, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1443 = None 2025-03-21T20:31:49.3057829Z aten_unsqueeze_copy_default_95: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1980, -1); quantized_decomposed_dequantize_per_tensor_default_1980 = None 2025-03-21T20:31:49.3058953Z quantized_decomposed_quantize_per_tensor_default_1444: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_95, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_unsqueeze_copy_default_95 = None 2025-03-21T20:31:49.3059051Z 2025-03-21T20:31:49.3059519Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3060828Z quantized_decomposed_dequantize_per_tensor_default_1981: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1444, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1444 = None 2025-03-21T20:31:49.3061743Z aten_permute_copy_default_361: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1981, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1981 = None 2025-03-21T20:31:49.3062832Z quantized_decomposed_quantize_per_tensor_default_1445: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_361, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); aten_permute_copy_default_361 = None 2025-03-21T20:31:49.3062971Z 2025-03-21T20:31:49.3063382Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3064730Z quantized_decomposed_dequantize_per_tensor_default_1982: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1445, 9.857307304628193e-05, 32475, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1445 = None 2025-03-21T20:31:49.3066195Z aten_convolution_default_59: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1982, quantized_decomposed_dequantize_per_tensor_default_77, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1982 = quantized_decomposed_dequantize_per_tensor_default_77 = None 2025-03-21T20:31:49.3067512Z quantized_decomposed_quantize_per_tensor_default_1446: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_59, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); aten_convolution_default_59 = None 2025-03-21T20:31:49.3067613Z 2025-03-21T20:31:49.3068107Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3069427Z quantized_decomposed_dequantize_per_tensor_default_1983: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1446, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1446 = None 2025-03-21T20:31:49.3070348Z aten_permute_copy_default_362: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1983, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1983 = None 2025-03-21T20:31:49.3071424Z quantized_decomposed_quantize_per_tensor_default_1447: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_362, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); aten_permute_copy_default_362 = None 2025-03-21T20:31:49.3071540Z 2025-03-21T20:31:49.3072212Z # 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]) 2025-03-21T20:31:49.3073643Z quantized_decomposed_dequantize_per_tensor_default_1984: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1447, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1447 = None 2025-03-21T20:31:49.3074503Z aten_squeeze_copy_dims_95: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1984, [-1]); quantized_decomposed_dequantize_per_tensor_default_1984 = None 2025-03-21T20:31:49.3075547Z quantized_decomposed_quantize_per_tensor_default_1448: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_95, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); aten_squeeze_copy_dims_95 = None 2025-03-21T20:31:49.3075691Z 2025-03-21T20:31:49.3076126Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.3077433Z quantized_decomposed_dequantize_per_tensor_default_1985: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1448, 6.995500734774396e-05, 26018, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1448 = None 2025-03-21T20:31:49.3078805Z aten_add_tensor_43: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1805, quantized_decomposed_dequantize_per_tensor_default_1985); quantized_decomposed_dequantize_per_tensor_default_1805 = quantized_decomposed_dequantize_per_tensor_default_1985 = None 2025-03-21T20:31:49.3079769Z quantized_decomposed_quantize_per_tensor_default_1449: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_43, 0.0026511913165450096, 5838, 0, 65535, torch.int32); aten_add_tensor_43 = None 2025-03-21T20:31:49.3079878Z 2025-03-21T20:31:49.3080447Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.3081515Z quantized_decomposed_dequantize_per_tensor_default_1986: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1449, 0.0026511913165450096, 5838, 0, 65535, torch.int32) 2025-03-21T20:31:49.3082815Z quantized_decomposed_dequantize_per_tensor_default_1987: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1449, 0.0026511913165450096, 5838, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1449 = None 2025-03-21T20:31:49.3083409Z aten_pow_tensor_scalar_17: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_1987, 2) 2025-03-21T20:31:49.3083919Z 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 2025-03-21T20:31:49.3084436Z 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 2025-03-21T20:31:49.3084913Z 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 2025-03-21T20:31:49.3085929Z aten_mul_tensor_131: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1987, aten_rsqrt_default_17); quantized_decomposed_dequantize_per_tensor_default_1987 = aten_rsqrt_default_17 = None 2025-03-21T20:31:49.3086854Z aten_mul_tensor_132: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_131, quantized_decomposed_dequantize_per_tensor_default_78); aten_mul_tensor_131 = quantized_decomposed_dequantize_per_tensor_default_78 = None 2025-03-21T20:31:49.3087856Z quantized_decomposed_quantize_per_tensor_default_1450: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_132, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_mul_tensor_132 = None 2025-03-21T20:31:49.3087953Z 2025-03-21T20:31:49.3088551Z # 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) 2025-03-21T20:31:49.3089632Z quantized_decomposed_dequantize_per_tensor_default_1988: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1450, 0.00035757292062044144, 21055, 0, 65535, torch.int32) 2025-03-21T20:31:49.3090956Z quantized_decomposed_dequantize_per_tensor_default_1989: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1450, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1450 = None 2025-03-21T20:31:49.3091922Z aten_unsqueeze_copy_default_96: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1989, -1); quantized_decomposed_dequantize_per_tensor_default_1989 = None 2025-03-21T20:31:49.3093020Z quantized_decomposed_quantize_per_tensor_default_1451: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_96, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_unsqueeze_copy_default_96 = None 2025-03-21T20:31:49.3093116Z 2025-03-21T20:31:49.3093582Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3094905Z quantized_decomposed_dequantize_per_tensor_default_1990: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1451, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1451 = None 2025-03-21T20:31:49.3095830Z aten_permute_copy_default_363: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1990, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1990 = None 2025-03-21T20:31:49.3096908Z quantized_decomposed_quantize_per_tensor_default_1452: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_363, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_permute_copy_default_363 = None 2025-03-21T20:31:49.3097021Z 2025-03-21T20:31:49.3097429Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3098762Z quantized_decomposed_dequantize_per_tensor_default_1991: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1452, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1452 = None 2025-03-21T20:31:49.3100252Z aten_convolution_default_60: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1991, quantized_decomposed_dequantize_per_tensor_default_79, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1991 = quantized_decomposed_dequantize_per_tensor_default_79 = None 2025-03-21T20:31:49.3101341Z quantized_decomposed_quantize_per_tensor_default_1453: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_60, 0.00018512652604840696, 30788, 0, 65535, torch.int32); aten_convolution_default_60 = None 2025-03-21T20:31:49.3101440Z 2025-03-21T20:31:49.3101924Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3103265Z quantized_decomposed_dequantize_per_tensor_default_1992: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1453, 0.00018512652604840696, 30788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1453 = None 2025-03-21T20:31:49.3104189Z aten_permute_copy_default_364: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1992, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1992 = None 2025-03-21T20:31:49.3105334Z quantized_decomposed_quantize_per_tensor_default_1454: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_364, 0.00018512652604840696, 30788, 0, 65535, torch.int32); aten_permute_copy_default_364 = None 2025-03-21T20:31:49.3105447Z 2025-03-21T20:31:49.3106047Z # 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]) 2025-03-21T20:31:49.3107392Z quantized_decomposed_dequantize_per_tensor_default_1993: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1454, 0.00018512652604840696, 30788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1454 = None 2025-03-21T20:31:49.3108258Z aten_squeeze_copy_dims_96: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_1993, [-1]); quantized_decomposed_dequantize_per_tensor_default_1993 = None 2025-03-21T20:31:49.3109322Z quantized_decomposed_quantize_per_tensor_default_1455: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_96, 0.00018512652604840696, 30788, 0, 65535, torch.int32); aten_squeeze_copy_dims_96 = None 2025-03-21T20:31:49.3109424Z 2025-03-21T20:31:49.3110014Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.3111079Z quantized_decomposed_dequantize_per_tensor_default_1994: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1455, 0.00018512652604840696, 30788, 0, 65535, torch.int32) 2025-03-21T20:31:49.3112424Z quantized_decomposed_dequantize_per_tensor_default_1995: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1455, 0.00018512652604840696, 30788, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1455 = None 2025-03-21T20:31:49.3113396Z aten_sigmoid_default_8: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_1995); quantized_decomposed_dequantize_per_tensor_default_1995 = None 2025-03-21T20:31:49.3114391Z quantized_decomposed_quantize_per_tensor_default_1456: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_8, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_8 = None 2025-03-21T20:31:49.3115667Z quantized_decomposed_dequantize_per_tensor_default_1996: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1456, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1456 = None 2025-03-21T20:31:49.3117011Z aten_mul_tensor_133: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1994, quantized_decomposed_dequantize_per_tensor_default_1996); quantized_decomposed_dequantize_per_tensor_default_1994 = quantized_decomposed_dequantize_per_tensor_default_1996 = None 2025-03-21T20:31:49.3117999Z quantized_decomposed_quantize_per_tensor_default_1457: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_133, 0.00010224587458651513, 2723, 0, 65535, torch.int32); aten_mul_tensor_133 = None 2025-03-21T20:31:49.3119374Z quantized_decomposed_dequantize_per_tensor_default_1997: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1457, 0.00010224587458651513, 2723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1457 = None 2025-03-21T20:31:49.3119478Z 2025-03-21T20:31:49.3120081Z # 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) 2025-03-21T20:31:49.3120996Z aten_unsqueeze_copy_default_97: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_1988, -1); quantized_decomposed_dequantize_per_tensor_default_1988 = None 2025-03-21T20:31:49.3122101Z quantized_decomposed_quantize_per_tensor_default_1458: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_97, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_unsqueeze_copy_default_97 = None 2025-03-21T20:31:49.3122200Z 2025-03-21T20:31:49.3122666Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3123992Z quantized_decomposed_dequantize_per_tensor_default_1998: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1458, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1458 = None 2025-03-21T20:31:49.3124909Z aten_permute_copy_default_365: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_1998, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_1998 = None 2025-03-21T20:31:49.3125985Z quantized_decomposed_quantize_per_tensor_default_1459: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_365, 0.00035757292062044144, 21055, 0, 65535, torch.int32); aten_permute_copy_default_365 = None 2025-03-21T20:31:49.3126098Z 2025-03-21T20:31:49.3126507Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3127864Z quantized_decomposed_dequantize_per_tensor_default_1999: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1459, 0.00035757292062044144, 21055, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1459 = None 2025-03-21T20:31:49.3129344Z aten_convolution_default_61: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_1999, quantized_decomposed_dequantize_per_tensor_default_80, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_1999 = quantized_decomposed_dequantize_per_tensor_default_80 = None 2025-03-21T20:31:49.3130428Z quantized_decomposed_quantize_per_tensor_default_1460: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_61, 0.00020597278489731252, 31383, 0, 65535, torch.int32); aten_convolution_default_61 = None 2025-03-21T20:31:49.3130552Z 2025-03-21T20:31:49.3131037Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3132359Z quantized_decomposed_dequantize_per_tensor_default_2000: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1460, 0.00020597278489731252, 31383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1460 = None 2025-03-21T20:31:49.3133350Z aten_permute_copy_default_366: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2000, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2000 = None 2025-03-21T20:31:49.3134428Z quantized_decomposed_quantize_per_tensor_default_1461: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_366, 0.00020597278489731252, 31383, 0, 65535, torch.int32); aten_permute_copy_default_366 = None 2025-03-21T20:31:49.3134540Z 2025-03-21T20:31:49.3135143Z # 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]) 2025-03-21T20:31:49.3136483Z quantized_decomposed_dequantize_per_tensor_default_2001: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1461, 0.00020597278489731252, 31383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1461 = None 2025-03-21T20:31:49.3137351Z aten_squeeze_copy_dims_97: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2001, [-1]); quantized_decomposed_dequantize_per_tensor_default_2001 = None 2025-03-21T20:31:49.3138406Z quantized_decomposed_quantize_per_tensor_default_1462: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_97, 0.00020597278489731252, 31383, 0, 65535, torch.int32); aten_squeeze_copy_dims_97 = None 2025-03-21T20:31:49.3138509Z 2025-03-21T20:31:49.3139102Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.3140455Z quantized_decomposed_dequantize_per_tensor_default_2002: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1462, 0.00020597278489731252, 31383, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1462 = None 2025-03-21T20:31:49.3141779Z aten_mul_tensor_134: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_1997, quantized_decomposed_dequantize_per_tensor_default_2002); quantized_decomposed_dequantize_per_tensor_default_1997 = quantized_decomposed_dequantize_per_tensor_default_2002 = None 2025-03-21T20:31:49.3142771Z quantized_decomposed_quantize_per_tensor_default_1463: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_134, 0.00044964838889427483, 39916, 0, 65535, torch.int32); aten_mul_tensor_134 = None 2025-03-21T20:31:49.3142886Z 2025-03-21T20:31:49.3143473Z # 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) 2025-03-21T20:31:49.3144826Z quantized_decomposed_dequantize_per_tensor_default_2003: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1463, 0.00044964838889427483, 39916, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1463 = None 2025-03-21T20:31:49.3145754Z aten_unsqueeze_copy_default_98: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2003, -1); quantized_decomposed_dequantize_per_tensor_default_2003 = None 2025-03-21T20:31:49.3146914Z quantized_decomposed_quantize_per_tensor_default_1464: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_98, 0.00044964838889427483, 39916, 0, 65535, torch.int32); aten_unsqueeze_copy_default_98 = None 2025-03-21T20:31:49.3147016Z 2025-03-21T20:31:49.3147489Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3148822Z quantized_decomposed_dequantize_per_tensor_default_2004: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1464, 0.00044964838889427483, 39916, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1464 = None 2025-03-21T20:31:49.3149755Z aten_permute_copy_default_367: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2004, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2004 = None 2025-03-21T20:31:49.3150844Z quantized_decomposed_quantize_per_tensor_default_1465: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_367, 0.00044964838889427483, 39916, 0, 65535, torch.int32); aten_permute_copy_default_367 = None 2025-03-21T20:31:49.3150964Z 2025-03-21T20:31:49.3151374Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3152718Z quantized_decomposed_dequantize_per_tensor_default_2005: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1465, 0.00044964838889427483, 39916, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1465 = None 2025-03-21T20:31:49.3154278Z aten_convolution_default_62: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2005, quantized_decomposed_dequantize_per_tensor_default_81, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2005 = quantized_decomposed_dequantize_per_tensor_default_81 = None 2025-03-21T20:31:49.3155365Z quantized_decomposed_quantize_per_tensor_default_1466: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_62, 0.00013728736666962504, 29642, 0, 65535, torch.int32); aten_convolution_default_62 = None 2025-03-21T20:31:49.3155466Z 2025-03-21T20:31:49.3155954Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3157274Z quantized_decomposed_dequantize_per_tensor_default_2006: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1466, 0.00013728736666962504, 29642, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1466 = None 2025-03-21T20:31:49.3158227Z aten_permute_copy_default_368: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2006, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2006 = None 2025-03-21T20:31:49.3159305Z quantized_decomposed_quantize_per_tensor_default_1467: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_368, 0.00013728736666962504, 29642, 0, 65535, torch.int32); aten_permute_copy_default_368 = None 2025-03-21T20:31:49.3159460Z 2025-03-21T20:31:49.3160058Z # 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]) 2025-03-21T20:31:49.3161426Z quantized_decomposed_dequantize_per_tensor_default_2007: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1467, 0.00013728736666962504, 29642, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1467 = None 2025-03-21T20:31:49.3162289Z aten_squeeze_copy_dims_98: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2007, [-1]); quantized_decomposed_dequantize_per_tensor_default_2007 = None 2025-03-21T20:31:49.3163333Z quantized_decomposed_quantize_per_tensor_default_1468: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_98, 0.00013728736666962504, 29642, 0, 65535, torch.int32); aten_squeeze_copy_dims_98 = None 2025-03-21T20:31:49.3163428Z 2025-03-21T20:31:49.3164015Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.3165332Z quantized_decomposed_dequantize_per_tensor_default_2008: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1468, 0.00013728736666962504, 29642, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1468 = None 2025-03-21T20:31:49.3166844Z aten_add_tensor_44: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_1986, quantized_decomposed_dequantize_per_tensor_default_2008); quantized_decomposed_dequantize_per_tensor_default_1986 = quantized_decomposed_dequantize_per_tensor_default_2008 = None 2025-03-21T20:31:49.3167829Z quantized_decomposed_quantize_per_tensor_default_1469: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_44, 0.002680311445146799, 6713, 0, 65535, torch.int32); aten_add_tensor_44 = None 2025-03-21T20:31:49.3167926Z 2025-03-21T20:31:49.3168405Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.3169468Z quantized_decomposed_dequantize_per_tensor_default_2009: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1469, 0.002680311445146799, 6713, 0, 65535, torch.int32) 2025-03-21T20:31:49.3169568Z 2025-03-21T20:31:49.3170216Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:49.3171519Z quantized_decomposed_dequantize_per_tensor_default_2010: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1469, 0.002680311445146799, 6713, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1469 = None 2025-03-21T20:31:49.3172151Z aten_pow_tensor_scalar_18: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2010, 2) 2025-03-21T20:31:49.3172667Z 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 2025-03-21T20:31:49.3173219Z 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 2025-03-21T20:31:49.3173698Z 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 2025-03-21T20:31:49.3174721Z aten_mul_tensor_135: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2010, aten_rsqrt_default_18); quantized_decomposed_dequantize_per_tensor_default_2010 = aten_rsqrt_default_18 = None 2025-03-21T20:31:49.3175653Z aten_mul_tensor_136: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_135, quantized_decomposed_dequantize_per_tensor_default_82); aten_mul_tensor_135 = quantized_decomposed_dequantize_per_tensor_default_82 = None 2025-03-21T20:31:49.3176641Z quantized_decomposed_quantize_per_tensor_default_1470: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_136, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_mul_tensor_136 = None 2025-03-21T20:31:49.3176737Z 2025-03-21T20:31:49.3177335Z # 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) 2025-03-21T20:31:49.3178387Z quantized_decomposed_dequantize_per_tensor_default_2011: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1470, 0.0004660242120735347, 32140, 0, 65535, torch.int32) 2025-03-21T20:31:49.3179447Z quantized_decomposed_dequantize_per_tensor_default_2012: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1470, 0.0004660242120735347, 32140, 0, 65535, torch.int32) 2025-03-21T20:31:49.3180763Z quantized_decomposed_dequantize_per_tensor_default_2013: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1470, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1470 = None 2025-03-21T20:31:49.3181728Z aten_unsqueeze_copy_default_99: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2013, -1); quantized_decomposed_dequantize_per_tensor_default_2013 = None 2025-03-21T20:31:49.3182799Z quantized_decomposed_quantize_per_tensor_default_1471: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_99, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_unsqueeze_copy_default_99 = None 2025-03-21T20:31:49.3182912Z 2025-03-21T20:31:49.3183373Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3184701Z quantized_decomposed_dequantize_per_tensor_default_2014: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1471, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1471 = None 2025-03-21T20:31:49.3185639Z aten_permute_copy_default_369: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2014, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2014 = None 2025-03-21T20:31:49.3186719Z quantized_decomposed_quantize_per_tensor_default_1472: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_369, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_permute_copy_default_369 = None 2025-03-21T20:31:49.3186880Z 2025-03-21T20:31:49.3187328Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3188644Z quantized_decomposed_dequantize_per_tensor_default_2015: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1472, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1472 = None 2025-03-21T20:31:49.3190108Z aten_convolution_default_63: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2015, quantized_decomposed_dequantize_per_tensor_default_83, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2015 = quantized_decomposed_dequantize_per_tensor_default_83 = None 2025-03-21T20:31:49.3191175Z quantized_decomposed_quantize_per_tensor_default_1473: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_63, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_convolution_default_63 = None 2025-03-21T20:31:49.3191287Z 2025-03-21T20:31:49.3191761Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3193175Z quantized_decomposed_dequantize_per_tensor_default_2016: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1473, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1473 = None 2025-03-21T20:31:49.3194087Z aten_permute_copy_default_370: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2016, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2016 = None 2025-03-21T20:31:49.3195202Z quantized_decomposed_quantize_per_tensor_default_1474: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_370, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_permute_copy_default_370 = None 2025-03-21T20:31:49.3195303Z 2025-03-21T20:31:49.3195916Z # 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]) 2025-03-21T20:31:49.3197231Z quantized_decomposed_dequantize_per_tensor_default_2017: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1474, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1474 = None 2025-03-21T20:31:49.3198107Z aten_squeeze_copy_dims_99: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2017, [-1]); quantized_decomposed_dequantize_per_tensor_default_2017 = None 2025-03-21T20:31:49.3199165Z quantized_decomposed_quantize_per_tensor_default_1475: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_99, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_squeeze_copy_dims_99 = None 2025-03-21T20:31:49.3199283Z 2025-03-21T20:31:49.3199863Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.3201238Z quantized_decomposed_dequantize_per_tensor_default_2018: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1475, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1475 = None 2025-03-21T20:31:49.3201337Z 2025-03-21T20:31:49.3201931Z # 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) 2025-03-21T20:31:49.3202855Z aten_unsqueeze_copy_default_100: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2012, -1); quantized_decomposed_dequantize_per_tensor_default_2012 = None 2025-03-21T20:31:49.3203957Z quantized_decomposed_quantize_per_tensor_default_1476: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_100, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_unsqueeze_copy_default_100 = None 2025-03-21T20:31:49.3204057Z 2025-03-21T20:31:49.3204525Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3205831Z quantized_decomposed_dequantize_per_tensor_default_2019: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1476, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1476 = None 2025-03-21T20:31:49.3206755Z aten_permute_copy_default_371: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2019, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2019 = None 2025-03-21T20:31:49.3207818Z quantized_decomposed_quantize_per_tensor_default_1477: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_371, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_permute_copy_default_371 = None 2025-03-21T20:31:49.3207930Z 2025-03-21T20:31:49.3208341Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3209690Z quantized_decomposed_dequantize_per_tensor_default_2020: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1477, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1477 = None 2025-03-21T20:31:49.3211145Z aten_convolution_default_64: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2020, quantized_decomposed_dequantize_per_tensor_default_84, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2020 = quantized_decomposed_dequantize_per_tensor_default_84 = None 2025-03-21T20:31:49.3212219Z quantized_decomposed_quantize_per_tensor_default_1478: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_64, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_convolution_default_64 = None 2025-03-21T20:31:49.3212357Z 2025-03-21T20:31:49.3212844Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3214156Z quantized_decomposed_dequantize_per_tensor_default_2021: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1478, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1478 = None 2025-03-21T20:31:49.3215133Z aten_permute_copy_default_372: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2021, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2021 = None 2025-03-21T20:31:49.3216196Z quantized_decomposed_quantize_per_tensor_default_1479: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_372, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_permute_copy_default_372 = None 2025-03-21T20:31:49.3216304Z 2025-03-21T20:31:49.3216906Z # 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]) 2025-03-21T20:31:49.3218238Z quantized_decomposed_dequantize_per_tensor_default_2022: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1479, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1479 = None 2025-03-21T20:31:49.3219104Z aten_squeeze_copy_dims_100: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2022, [-1]); quantized_decomposed_dequantize_per_tensor_default_2022 = None 2025-03-21T20:31:49.3220147Z quantized_decomposed_quantize_per_tensor_default_1480: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_100, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_squeeze_copy_dims_100 = None 2025-03-21T20:31:49.3220247Z 2025-03-21T20:31:49.3220843Z # 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) 2025-03-21T20:31:49.3222150Z quantized_decomposed_dequantize_per_tensor_default_2023: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1480, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1480 = None 2025-03-21T20:31:49.3222291Z 2025-03-21T20:31:49.3222870Z # 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) 2025-03-21T20:31:49.3223801Z aten_unsqueeze_copy_default_101: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2011, -1); quantized_decomposed_dequantize_per_tensor_default_2011 = None 2025-03-21T20:31:49.3224893Z quantized_decomposed_quantize_per_tensor_default_1481: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_101, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_unsqueeze_copy_default_101 = None 2025-03-21T20:31:49.3225026Z 2025-03-21T20:31:49.3225480Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3226811Z quantized_decomposed_dequantize_per_tensor_default_2024: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1481, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1481 = None 2025-03-21T20:31:49.3227738Z aten_permute_copy_default_373: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2024, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2024 = None 2025-03-21T20:31:49.3229175Z quantized_decomposed_quantize_per_tensor_default_1482: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_373, 0.0004660242120735347, 32140, 0, 65535, torch.int32); aten_permute_copy_default_373 = None 2025-03-21T20:31:49.3229277Z 2025-03-21T20:31:49.3229701Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3231012Z quantized_decomposed_dequantize_per_tensor_default_2025: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1482, 0.0004660242120735347, 32140, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1482 = None 2025-03-21T20:31:49.3232487Z aten_convolution_default_65: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2025, quantized_decomposed_dequantize_per_tensor_default_85, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2025 = quantized_decomposed_dequantize_per_tensor_default_85 = None 2025-03-21T20:31:49.3233657Z quantized_decomposed_quantize_per_tensor_default_1483: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_65, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_convolution_default_65 = None 2025-03-21T20:31:49.3233770Z 2025-03-21T20:31:49.3234244Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3235564Z quantized_decomposed_dequantize_per_tensor_default_2026: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1483, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1483 = None 2025-03-21T20:31:49.3236499Z aten_permute_copy_default_374: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2026, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2026 = None 2025-03-21T20:31:49.3237583Z quantized_decomposed_quantize_per_tensor_default_1484: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_374, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_374 = None 2025-03-21T20:31:49.3237681Z 2025-03-21T20:31:49.3238292Z # 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]) 2025-03-21T20:31:49.3239618Z quantized_decomposed_dequantize_per_tensor_default_2027: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1484, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1484 = None 2025-03-21T20:31:49.3240521Z aten_squeeze_copy_dims_101: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2027, [-1]); quantized_decomposed_dequantize_per_tensor_default_2027 = None 2025-03-21T20:31:49.3241561Z quantized_decomposed_quantize_per_tensor_default_1485: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_101, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_squeeze_copy_dims_101 = None 2025-03-21T20:31:49.3241722Z 2025-03-21T20:31:49.3242332Z # 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) 2025-03-21T20:31:49.3243659Z quantized_decomposed_dequantize_per_tensor_default_2028: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1485, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1485 = None 2025-03-21T20:31:49.3243758Z 2025-03-21T20:31:49.3244348Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.3245233Z aten_view_copy_default_162: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2018, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2018 = None 2025-03-21T20:31:49.3246277Z quantized_decomposed_quantize_per_tensor_default_1486: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_162, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_view_copy_default_162 = None 2025-03-21T20:31:49.3246375Z 2025-03-21T20:31:49.3247454Z # File: .50:5191 in forward, code: dequantize_per_tensor_default_1644 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1644, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantize_per_tensor_default_1644 = None 2025-03-21T20:31:49.3248766Z quantized_decomposed_dequantize_per_tensor_default_2029: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1486, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1486 = None 2025-03-21T20:31:49.3248880Z 2025-03-21T20:31:49.3249472Z # 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) 2025-03-21T20:31:49.3250389Z aten_view_copy_default_163: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2023, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2023 = None 2025-03-21T20:31:49.3251425Z quantized_decomposed_quantize_per_tensor_default_1487: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_163, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_view_copy_default_163 = None 2025-03-21T20:31:49.3251539Z 2025-03-21T20:31:49.3252612Z # File: .50:5194 in forward, code: dequantize_per_tensor_default_1645 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1645, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantize_per_tensor_default_1645 = None 2025-03-21T20:31:49.3253964Z quantized_decomposed_dequantize_per_tensor_default_2030: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1487, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1487 = None 2025-03-21T20:31:49.3254061Z 2025-03-21T20:31:49.3254677Z # 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) 2025-03-21T20:31:49.3255592Z aten_view_copy_default_164: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2028, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2028 = None 2025-03-21T20:31:49.3256643Z quantized_decomposed_quantize_per_tensor_default_1488: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_164, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_view_copy_default_164 = None 2025-03-21T20:31:49.3256742Z 2025-03-21T20:31:49.3257489Z # 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) 2025-03-21T20:31:49.3258800Z quantized_decomposed_dequantize_per_tensor_default_2031: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1488, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1488 = None 2025-03-21T20:31:49.3258898Z 2025-03-21T20:31:49.3259769Z # File: .50:5199 in forward, code: quantize_per_tensor_default_1647 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_18, 0.00035828881664201617, 31639, 0, 65535, torch.int32); _to_copy_18 = None 2025-03-21T20:31:49.3261073Z quantized_decomposed_quantize_per_tensor_default_1489: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2029, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2029 = None 2025-03-21T20:31:49.3261186Z 2025-03-21T20:31:49.3261778Z # 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) 2025-03-21T20:31:49.3263118Z quantized_decomposed_dequantize_per_tensor_default_2032: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1489, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1489 = None 2025-03-21T20:31:49.3264041Z aten_view_copy_default_165: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2032, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2032 = None 2025-03-21T20:31:49.3265100Z quantized_decomposed_quantize_per_tensor_default_1490: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_165, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_view_copy_default_165 = None 2025-03-21T20:31:49.3266428Z quantized_decomposed_dequantize_per_tensor_default_2033: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1490, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1490 = None 2025-03-21T20:31:49.3267308Z aten_slice_copy_tensor_36: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2033, 4, 0, 1) 2025-03-21T20:31:49.3268181Z aten_slice_copy_tensor_37: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2033, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2033 = None 2025-03-21T20:31:49.3268847Z 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 2025-03-21T20:31:49.3269485Z 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 2025-03-21T20:31:49.3270534Z quantized_decomposed_quantize_per_tensor_default_1491: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_102, 0.00035828881664201617, 31639, 0, 65535, torch.int32); aten_squeeze_copy_dims_102 = None 2025-03-21T20:31:49.3270650Z 2025-03-21T20:31:49.3271186Z # 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 2025-03-21T20:31:49.3272245Z quantized_decomposed_dequantize_per_tensor_default_2034: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1491, 0.00035828881664201617, 31639, 0, 65535, torch.int32) 2025-03-21T20:31:49.3272367Z 2025-03-21T20:31:49.3272996Z # 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 2025-03-21T20:31:49.3274327Z quantized_decomposed_dequantize_per_tensor_default_2035: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1491, 0.00035828881664201617, 31639, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1491 = None 2025-03-21T20:31:49.3274427Z 2025-03-21T20:31:49.3275028Z # 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) 2025-03-21T20:31:49.3276073Z quantized_decomposed_quantize_per_tensor_default_1492: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_103, 0.00032475838088430464, 31202, 0, 65535, torch.int32); aten_squeeze_copy_dims_103 = None 2025-03-21T20:31:49.3276190Z 2025-03-21T20:31:49.3276763Z # 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 2025-03-21T20:31:49.3277834Z quantized_decomposed_dequantize_per_tensor_default_2036: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1492, 0.00032475838088430464, 31202, 0, 65535, torch.int32) 2025-03-21T20:31:49.3277936Z 2025-03-21T20:31:49.3278476Z # 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 2025-03-21T20:31:49.3279783Z quantized_decomposed_dequantize_per_tensor_default_2037: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1492, 0.00032475838088430464, 31202, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1492 = None 2025-03-21T20:31:49.3279950Z 2025-03-21T20:31:49.3280815Z # File: .50:5214 in forward, code: quantize_per_tensor_default_1651 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_19, 0.0004303281893953681, 32305, 0, 65535, torch.int32); _to_copy_19 = None 2025-03-21T20:31:49.3282140Z quantized_decomposed_quantize_per_tensor_default_1493: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2030, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2030 = None 2025-03-21T20:31:49.3282271Z 2025-03-21T20:31:49.3282899Z # 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) 2025-03-21T20:31:49.3284215Z quantized_decomposed_dequantize_per_tensor_default_2038: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1493, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1493 = None 2025-03-21T20:31:49.3285112Z aten_view_copy_default_166: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2038, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2038 = None 2025-03-21T20:31:49.3286155Z quantized_decomposed_quantize_per_tensor_default_1494: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_166, 0.0004303281893953681, 32305, 0, 65535, torch.int32); aten_view_copy_default_166 = None 2025-03-21T20:31:49.3287482Z quantized_decomposed_dequantize_per_tensor_default_2039: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1494, 0.0004303281893953681, 32305, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1494 = None 2025-03-21T20:31:49.3288092Z aten_slice_copy_tensor_38: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2039, 4, 0, 1) 2025-03-21T20:31:49.3288966Z aten_slice_copy_tensor_39: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2039, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2039 = None 2025-03-21T20:31:49.3289557Z 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 2025-03-21T20:31:49.3290182Z 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 2025-03-21T20:31:49.3291216Z quantized_decomposed_quantize_per_tensor_default_1495: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_104, 0.000411502318456769, 33783, 0, 65535, torch.int32); aten_squeeze_copy_dims_104 = None 2025-03-21T20:31:49.3291328Z 2025-03-21T20:31:49.3291864Z # 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 2025-03-21T20:31:49.3292928Z quantized_decomposed_dequantize_per_tensor_default_2040: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1495, 0.000411502318456769, 33783, 0, 65535, torch.int32) 2025-03-21T20:31:49.3293049Z 2025-03-21T20:31:49.3293593Z # 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 2025-03-21T20:31:49.3294896Z quantized_decomposed_dequantize_per_tensor_default_2041: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1495, 0.000411502318456769, 33783, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1495 = None 2025-03-21T20:31:49.3295033Z 2025-03-21T20:31:49.3295640Z # 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) 2025-03-21T20:31:49.3296689Z quantized_decomposed_quantize_per_tensor_default_1496: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_105, 0.0004275636747479439, 32090, 0, 65535, torch.int32); aten_squeeze_copy_dims_105 = None 2025-03-21T20:31:49.3296787Z 2025-03-21T20:31:49.3297317Z # 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 2025-03-21T20:31:49.3298373Z quantized_decomposed_dequantize_per_tensor_default_2042: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1496, 0.0004275636747479439, 32090, 0, 65535, torch.int32) 2025-03-21T20:31:49.3298470Z 2025-03-21T20:31:49.3299009Z # 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 2025-03-21T20:31:49.3300320Z quantized_decomposed_dequantize_per_tensor_default_2043: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1496, 0.0004275636747479439, 32090, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1496 = None 2025-03-21T20:31:49.3300434Z 2025-03-21T20:31:49.3300922Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.3301796Z aten_view_copy_default_167: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_153, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_153 = None 2025-03-21T20:31:49.3302826Z quantized_decomposed_quantize_per_tensor_default_1497: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_167, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_167 = None 2025-03-21T20:31:49.3302935Z 2025-03-21T20:31:49.3303488Z # 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 2025-03-21T20:31:49.3304543Z quantized_decomposed_dequantize_per_tensor_default_2044: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1497, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.3304641Z 2025-03-21T20:31:49.3305182Z # 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 2025-03-21T20:31:49.3306231Z quantized_decomposed_dequantize_per_tensor_default_2045: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1497, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.3306368Z 2025-03-21T20:31:49.3306897Z # 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 2025-03-21T20:31:49.3307943Z quantized_decomposed_dequantize_per_tensor_default_2046: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1497, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.3308079Z 2025-03-21T20:31:49.3308605Z # 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 2025-03-21T20:31:49.3309965Z quantized_decomposed_dequantize_per_tensor_default_2047: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1497, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1497 = None 2025-03-21T20:31:49.3310065Z 2025-03-21T20:31:49.3310571Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.3311438Z aten_view_copy_default_168: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_165, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_165 = None 2025-03-21T20:31:49.3312481Z quantized_decomposed_quantize_per_tensor_default_1498: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_168, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_168 = None 2025-03-21T20:31:49.3312579Z 2025-03-21T20:31:49.3313221Z # 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 2025-03-21T20:31:49.3314268Z quantized_decomposed_dequantize_per_tensor_default_2048: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1498, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.3314381Z 2025-03-21T20:31:49.3314905Z # 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 2025-03-21T20:31:49.3315963Z quantized_decomposed_dequantize_per_tensor_default_2049: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1498, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.3316061Z 2025-03-21T20:31:49.3316625Z # 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 2025-03-21T20:31:49.3317670Z quantized_decomposed_dequantize_per_tensor_default_2050: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1498, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.3317783Z 2025-03-21T20:31:49.3318308Z # 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 2025-03-21T20:31:49.3319613Z quantized_decomposed_dequantize_per_tensor_default_2051: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1498, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1498 = None 2025-03-21T20:31:49.3319767Z 2025-03-21T20:31:49.3320295Z # 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 2025-03-21T20:31:49.3321610Z aten_mul_tensor_137: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2035, quantized_decomposed_dequantize_per_tensor_default_2047); quantized_decomposed_dequantize_per_tensor_default_2035 = quantized_decomposed_dequantize_per_tensor_default_2047 = None 2025-03-21T20:31:49.3322642Z quantized_decomposed_quantize_per_tensor_default_1499: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_137, 0.0003548612876329571, 31922, 0, 65535, torch.int32); aten_mul_tensor_137 = None 2025-03-21T20:31:49.3323976Z quantized_decomposed_dequantize_per_tensor_default_2052: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1499, 0.0003548612876329571, 31922, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1499 = None 2025-03-21T20:31:49.3325274Z aten_mul_tensor_138: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2036, quantized_decomposed_dequantize_per_tensor_default_2050); quantized_decomposed_dequantize_per_tensor_default_2036 = quantized_decomposed_dequantize_per_tensor_default_2050 = None 2025-03-21T20:31:49.3326254Z quantized_decomposed_quantize_per_tensor_default_1500: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_138, 0.00014130776980891824, 32945, 0, 65535, torch.int32); aten_mul_tensor_138 = None 2025-03-21T20:31:49.3327588Z quantized_decomposed_dequantize_per_tensor_default_2053: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1500, 0.00014130776980891824, 32945, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1500 = None 2025-03-21T20:31:49.3328879Z aten_sub_tensor_18: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2052, quantized_decomposed_dequantize_per_tensor_default_2053); quantized_decomposed_dequantize_per_tensor_default_2052 = quantized_decomposed_dequantize_per_tensor_default_2053 = None 2025-03-21T20:31:49.3329866Z quantized_decomposed_quantize_per_tensor_default_1501: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_18, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_sub_tensor_18 = None 2025-03-21T20:31:49.3329965Z 2025-03-21T20:31:49.3331077Z # File: .50:5248 in forward, code: dequantize_per_tensor_default_1659 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1659, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantize_per_tensor_default_1659 = None 2025-03-21T20:31:49.3332404Z quantized_decomposed_dequantize_per_tensor_default_2054: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1501, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1501 = None 2025-03-21T20:31:49.3332516Z 2025-03-21T20:31:49.3333047Z # 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 2025-03-21T20:31:49.3334384Z aten_mul_tensor_139: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2034, quantized_decomposed_dequantize_per_tensor_default_2051); quantized_decomposed_dequantize_per_tensor_default_2034 = quantized_decomposed_dequantize_per_tensor_default_2051 = None 2025-03-21T20:31:49.3335360Z quantized_decomposed_quantize_per_tensor_default_1502: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_139, 0.00016020808834582567, 31073, 0, 65535, torch.int32); aten_mul_tensor_139 = None 2025-03-21T20:31:49.3336722Z quantized_decomposed_dequantize_per_tensor_default_2055: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1502, 0.00016020808834582567, 31073, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1502 = None 2025-03-21T20:31:49.3338022Z aten_mul_tensor_140: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2037, quantized_decomposed_dequantize_per_tensor_default_2046); quantized_decomposed_dequantize_per_tensor_default_2037 = quantized_decomposed_dequantize_per_tensor_default_2046 = None 2025-03-21T20:31:49.3339013Z quantized_decomposed_quantize_per_tensor_default_1503: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_140, 0.0003209649003110826, 31569, 0, 65535, torch.int32); aten_mul_tensor_140 = None 2025-03-21T20:31:49.3340316Z quantized_decomposed_dequantize_per_tensor_default_2056: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1503, 0.0003209649003110826, 31569, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1503 = None 2025-03-21T20:31:49.3341618Z aten_add_tensor_45: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2055, quantized_decomposed_dequantize_per_tensor_default_2056); quantized_decomposed_dequantize_per_tensor_default_2055 = quantized_decomposed_dequantize_per_tensor_default_2056 = None 2025-03-21T20:31:49.3342605Z quantized_decomposed_quantize_per_tensor_default_1504: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_45, 0.00031776822288520634, 31840, 0, 65535, torch.int32); aten_add_tensor_45 = None 2025-03-21T20:31:49.3342701Z 2025-03-21T20:31:49.3343777Z # File: .50:5257 in forward, code: dequantize_per_tensor_default_1662 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1662, 0.00031776822288520634, 31840, 0, 65535, torch.int32); quantize_per_tensor_default_1662 = None 2025-03-21T20:31:49.3345108Z quantized_decomposed_dequantize_per_tensor_default_2057: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1504, 0.00031776822288520634, 31840, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1504 = None 2025-03-21T20:31:49.3345220Z 2025-03-21T20:31:49.3345749Z # 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 2025-03-21T20:31:49.3347039Z aten_mul_tensor_141: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2041, quantized_decomposed_dequantize_per_tensor_default_2045); quantized_decomposed_dequantize_per_tensor_default_2041 = quantized_decomposed_dequantize_per_tensor_default_2045 = None 2025-03-21T20:31:49.3348061Z quantized_decomposed_quantize_per_tensor_default_1505: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_141, 0.00040689806337468326, 33489, 0, 65535, torch.int32); aten_mul_tensor_141 = None 2025-03-21T20:31:49.3349390Z quantized_decomposed_dequantize_per_tensor_default_2058: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1505, 0.00040689806337468326, 33489, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1505 = None 2025-03-21T20:31:49.3350735Z aten_mul_tensor_142: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2042, quantized_decomposed_dequantize_per_tensor_default_2048); quantized_decomposed_dequantize_per_tensor_default_2042 = quantized_decomposed_dequantize_per_tensor_default_2048 = None 2025-03-21T20:31:49.3351727Z quantized_decomposed_quantize_per_tensor_default_1506: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_142, 0.00016605170094408095, 36087, 0, 65535, torch.int32); aten_mul_tensor_142 = None 2025-03-21T20:31:49.3353157Z quantized_decomposed_dequantize_per_tensor_default_2059: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1506, 0.00016605170094408095, 36087, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1506 = None 2025-03-21T20:31:49.3354464Z aten_sub_tensor_19: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2058, quantized_decomposed_dequantize_per_tensor_default_2059); quantized_decomposed_dequantize_per_tensor_default_2058 = quantized_decomposed_dequantize_per_tensor_default_2059 = None 2025-03-21T20:31:49.3355441Z quantized_decomposed_quantize_per_tensor_default_1507: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_19, 0.0004013704019598663, 32912, 0, 65535, torch.int32); aten_sub_tensor_19 = None 2025-03-21T20:31:49.3355554Z 2025-03-21T20:31:49.3356617Z # File: .50:5266 in forward, code: dequantize_per_tensor_default_1665 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1665, 0.0004013704019598663, 32912, 0, 65535, torch.int32); quantize_per_tensor_default_1665 = None 2025-03-21T20:31:49.3357939Z quantized_decomposed_dequantize_per_tensor_default_2060: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1507, 0.0004013704019598663, 32912, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1507 = None 2025-03-21T20:31:49.3358065Z 2025-03-21T20:31:49.3358613Z # 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 2025-03-21T20:31:49.3359907Z aten_mul_tensor_143: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2040, quantized_decomposed_dequantize_per_tensor_default_2049); quantized_decomposed_dequantize_per_tensor_default_2040 = quantized_decomposed_dequantize_per_tensor_default_2049 = None 2025-03-21T20:31:49.3360904Z quantized_decomposed_quantize_per_tensor_default_1508: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_143, 0.0001810029789339751, 34754, 0, 65535, torch.int32); aten_mul_tensor_143 = None 2025-03-21T20:31:49.3362248Z quantized_decomposed_dequantize_per_tensor_default_2061: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1508, 0.0001810029789339751, 34754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1508 = None 2025-03-21T20:31:49.3363554Z aten_mul_tensor_144: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2043, quantized_decomposed_dequantize_per_tensor_default_2044); quantized_decomposed_dequantize_per_tensor_default_2043 = quantized_decomposed_dequantize_per_tensor_default_2044 = None 2025-03-21T20:31:49.3364598Z quantized_decomposed_quantize_per_tensor_default_1509: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_144, 0.00041482385131530464, 31860, 0, 65535, torch.int32); aten_mul_tensor_144 = None 2025-03-21T20:31:49.3365923Z quantized_decomposed_dequantize_per_tensor_default_2062: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1509, 0.00041482385131530464, 31860, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1509 = None 2025-03-21T20:31:49.3367462Z aten_add_tensor_46: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2061, quantized_decomposed_dequantize_per_tensor_default_2062); quantized_decomposed_dequantize_per_tensor_default_2061 = quantized_decomposed_dequantize_per_tensor_default_2062 = None 2025-03-21T20:31:49.3368437Z quantized_decomposed_quantize_per_tensor_default_1510: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_46, 0.0004134253249503672, 31723, 0, 65535, torch.int32); aten_add_tensor_46 = None 2025-03-21T20:31:49.3368550Z 2025-03-21T20:31:49.3369610Z # File: .50:5275 in forward, code: dequantize_per_tensor_default_1668 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1668, 0.0004134253249503672, 31723, 0, 65535, torch.int32); quantize_per_tensor_default_1668 = None 2025-03-21T20:31:49.3370925Z quantized_decomposed_dequantize_per_tensor_default_2063: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1510, 0.0004134253249503672, 31723, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1510 = None 2025-03-21T20:31:49.3371023Z 2025-03-21T20:31:49.3371621Z # 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) 2025-03-21T20:31:49.3372600Z aten_unsqueeze_copy_default_102: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2054, 4); quantized_decomposed_dequantize_per_tensor_default_2054 = None 2025-03-21T20:31:49.3373520Z aten_unsqueeze_copy_default_103: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2057, 4); quantized_decomposed_dequantize_per_tensor_default_2057 = None 2025-03-21T20:31:49.3374375Z 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 2025-03-21T20:31:49.3375380Z quantized_decomposed_quantize_per_tensor_default_1511: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_36, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_cat_default_36 = None 2025-03-21T20:31:49.3376732Z quantized_decomposed_dequantize_per_tensor_default_2064: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1511, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1511 = None 2025-03-21T20:31:49.3377655Z aten_view_copy_default_169: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2064, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2064 = None 2025-03-21T20:31:49.3378733Z quantized_decomposed_quantize_per_tensor_default_1512: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_169, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_view_copy_default_169 = None 2025-03-21T20:31:49.3378849Z 2025-03-21T20:31:49.3379918Z # File: .50:5281 in forward, code: dequantize_per_tensor_default_1670 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1670, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantize_per_tensor_default_1670 = None 2025-03-21T20:31:49.3381250Z quantized_decomposed_dequantize_per_tensor_default_2065: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1512, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1512 = None 2025-03-21T20:31:49.3381347Z 2025-03-21T20:31:49.3381943Z # 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) 2025-03-21T20:31:49.3382861Z aten_unsqueeze_copy_default_104: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2060, 4); quantized_decomposed_dequantize_per_tensor_default_2060 = None 2025-03-21T20:31:49.3383775Z aten_unsqueeze_copy_default_105: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2063, 4); quantized_decomposed_dequantize_per_tensor_default_2063 = None 2025-03-21T20:31:49.3384622Z 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 2025-03-21T20:31:49.3385643Z quantized_decomposed_quantize_per_tensor_default_1513: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_37, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_cat_default_37 = None 2025-03-21T20:31:49.3386961Z quantized_decomposed_dequantize_per_tensor_default_2066: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1513, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1513 = None 2025-03-21T20:31:49.3387850Z aten_view_copy_default_170: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2066, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2066 = None 2025-03-21T20:31:49.3388883Z quantized_decomposed_quantize_per_tensor_default_1514: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_170, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_view_copy_default_170 = None 2025-03-21T20:31:49.3389028Z 2025-03-21T20:31:49.3390100Z # File: .50:5287 in forward, code: dequantize_per_tensor_default_1672 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1672, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1672 = None 2025-03-21T20:31:49.3391501Z quantized_decomposed_dequantize_per_tensor_default_2067: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1514, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1514 = None 2025-03-21T20:31:49.3391601Z 2025-03-21T20:31:49.3392473Z # File: .50:5289 in forward, code: quantize_per_tensor_default_1673 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_18, 0.00035090342862531543, 32108, 0, 65535, torch.int32); type_as_18 = None 2025-03-21T20:31:49.3393882Z quantized_decomposed_quantize_per_tensor_default_1515: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2065, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2065 = None 2025-03-21T20:31:49.3393997Z 2025-03-21T20:31:49.3394585Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.3395919Z quantized_decomposed_dequantize_per_tensor_default_2068: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1515, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1515 = None 2025-03-21T20:31:49.3396017Z 2025-03-21T20:31:49.3396878Z # File: .50:5292 in forward, code: quantize_per_tensor_default_1674 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_19, 0.00041487260023131967, 31841, 0, 65535, torch.int32); type_as_19 = None 2025-03-21T20:31:49.3398186Z quantized_decomposed_quantize_per_tensor_default_1516: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2067, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2067 = None 2025-03-21T20:31:49.3398297Z 2025-03-21T20:31:49.3399051Z # 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) 2025-03-21T20:31:49.3400438Z quantized_decomposed_dequantize_per_tensor_default_2069: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1516, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1516 = None 2025-03-21T20:31:49.3400537Z 2025-03-21T20:31:49.3401138Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.3402057Z aten_permute_copy_default_375: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2068, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2068 = None 2025-03-21T20:31:49.3403204Z quantized_decomposed_quantize_per_tensor_default_1517: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_375, 0.00035090342862531543, 32108, 0, 65535, torch.int32); aten_permute_copy_default_375 = None 2025-03-21T20:31:49.3403301Z 2025-03-21T20:31:49.3403963Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.3405340Z quantized_decomposed_dequantize_per_tensor_default_2070: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1517, 0.00035090342862531543, 32108, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1517 = None 2025-03-21T20:31:49.3405451Z 2025-03-21T20:31:49.3406198Z # 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) 2025-03-21T20:31:49.3407683Z aten_index_put_default_18: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_140, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2069); quantized_decomposed_dequantize_per_tensor_default_140 = quantized_decomposed_dequantize_per_tensor_default_2069 = None 2025-03-21T20:31:49.3408718Z quantized_decomposed_quantize_per_tensor_default_1518: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_18, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_index_put_default_18 = None 2025-03-21T20:31:49.3408833Z 2025-03-21T20:31:49.3409730Z # File: .50:5299 in forward, code: dequantize_per_tensor_default_1676 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1676, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3410802Z quantized_decomposed_dequantize_per_tensor_default_2071: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3410900Z 2025-03-21T20:31:49.3411632Z # 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) 2025-03-21T20:31:49.3412689Z quantized_decomposed_dequantize_per_tensor_default_2072: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3413790Z quantized_decomposed_dequantize_per_tensor_default_2073: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3414839Z quantized_decomposed_dequantize_per_tensor_default_2074: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3415910Z quantized_decomposed_dequantize_per_tensor_default_2075: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3417007Z quantized_decomposed_dequantize_per_tensor_default_2076: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3418072Z quantized_decomposed_dequantize_per_tensor_default_2077: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3419175Z quantized_decomposed_dequantize_per_tensor_default_2078: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3420247Z quantized_decomposed_dequantize_per_tensor_default_2079: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3421300Z quantized_decomposed_dequantize_per_tensor_default_2080: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3422368Z quantized_decomposed_dequantize_per_tensor_default_2081: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3423430Z quantized_decomposed_dequantize_per_tensor_default_2082: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32) 2025-03-21T20:31:49.3424770Z quantized_decomposed_dequantize_per_tensor_default_2083: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1518, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1518 = None 2025-03-21T20:31:49.3424870Z 2025-03-21T20:31:49.3425633Z # 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) 2025-03-21T20:31:49.3427131Z aten_index_put_default_19: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_141, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2031); quantized_decomposed_dequantize_per_tensor_default_141 = quantized_decomposed_dequantize_per_tensor_default_2031 = None 2025-03-21T20:31:49.3428188Z quantized_decomposed_quantize_per_tensor_default_1519: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_19, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_index_put_default_19 = None 2025-03-21T20:31:49.3428290Z 2025-03-21T20:31:49.3429200Z # File: .50:5314 in forward, code: dequantize_per_tensor_default_1677 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1677, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3430258Z quantized_decomposed_dequantize_per_tensor_default_2084: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3430397Z 2025-03-21T20:31:49.3431121Z # 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) 2025-03-21T20:31:49.3432188Z quantized_decomposed_dequantize_per_tensor_default_2085: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3433402Z quantized_decomposed_dequantize_per_tensor_default_2086: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3434467Z quantized_decomposed_dequantize_per_tensor_default_2087: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3435515Z quantized_decomposed_dequantize_per_tensor_default_2088: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3436584Z quantized_decomposed_dequantize_per_tensor_default_2089: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3443268Z quantized_decomposed_dequantize_per_tensor_default_2090: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3444415Z quantized_decomposed_dequantize_per_tensor_default_2091: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3445480Z quantized_decomposed_dequantize_per_tensor_default_2092: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3446633Z quantized_decomposed_dequantize_per_tensor_default_2093: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3447689Z quantized_decomposed_dequantize_per_tensor_default_2094: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3448755Z quantized_decomposed_dequantize_per_tensor_default_2095: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32) 2025-03-21T20:31:49.3450079Z quantized_decomposed_dequantize_per_tensor_default_2096: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1519, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1519 = None 2025-03-21T20:31:49.3450235Z 2025-03-21T20:31:49.3450962Z # 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) 2025-03-21T20:31:49.3451887Z aten_permute_copy_default_376: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2083, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2083 = None 2025-03-21T20:31:49.3453033Z quantized_decomposed_quantize_per_tensor_default_1520: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_376, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_376 = None 2025-03-21T20:31:49.3454380Z quantized_decomposed_dequantize_per_tensor_default_2097: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1520, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1520 = None 2025-03-21T20:31:49.3455237Z aten_select_copy_int_432: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2097, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2097 = None 2025-03-21T20:31:49.3456269Z quantized_decomposed_quantize_per_tensor_default_1521: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_432, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_432 = None 2025-03-21T20:31:49.3457606Z quantized_decomposed_dequantize_per_tensor_default_2098: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1521, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1521 = None 2025-03-21T20:31:49.3458438Z aten_select_copy_int_433: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2098, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2098 = None 2025-03-21T20:31:49.3459479Z quantized_decomposed_quantize_per_tensor_default_1522: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_433, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_433 = None 2025-03-21T20:31:49.3459580Z 2025-03-21T20:31:49.3460686Z # File: .50:5335 in forward, code: dequantize_per_tensor_default_1680 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1680, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1680 = None 2025-03-21T20:31:49.3462008Z quantized_decomposed_dequantize_per_tensor_default_2099: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1522, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1522 = None 2025-03-21T20:31:49.3462123Z 2025-03-21T20:31:49.3462848Z # 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) 2025-03-21T20:31:49.3463768Z aten_permute_copy_default_377: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2082, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2082 = None 2025-03-21T20:31:49.3464873Z quantized_decomposed_quantize_per_tensor_default_1523: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_377, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_377 = None 2025-03-21T20:31:49.3466243Z quantized_decomposed_dequantize_per_tensor_default_2100: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1523, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1523 = None 2025-03-21T20:31:49.3467411Z aten_select_copy_int_434: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2100, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2100 = None 2025-03-21T20:31:49.3468459Z quantized_decomposed_quantize_per_tensor_default_1524: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_434, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_434 = None 2025-03-21T20:31:49.3469788Z quantized_decomposed_dequantize_per_tensor_default_2101: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1524, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1524 = None 2025-03-21T20:31:49.3470641Z aten_select_copy_int_435: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2101, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2101 = None 2025-03-21T20:31:49.3471665Z quantized_decomposed_quantize_per_tensor_default_1525: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_435, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_435 = None 2025-03-21T20:31:49.3471775Z 2025-03-21T20:31:49.3472955Z # File: .50:5344 in forward, code: dequantize_per_tensor_default_1683 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1683, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1683 = None 2025-03-21T20:31:49.3474283Z quantized_decomposed_dequantize_per_tensor_default_2102: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1525, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1525 = None 2025-03-21T20:31:49.3474379Z 2025-03-21T20:31:49.3475166Z # 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) 2025-03-21T20:31:49.3476086Z aten_permute_copy_default_378: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2081, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2081 = None 2025-03-21T20:31:49.3477182Z quantized_decomposed_quantize_per_tensor_default_1526: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_378, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_378 = None 2025-03-21T20:31:49.3478504Z quantized_decomposed_dequantize_per_tensor_default_2103: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1526, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1526 = None 2025-03-21T20:31:49.3479392Z aten_select_copy_int_436: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2103, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2103 = None 2025-03-21T20:31:49.3480447Z quantized_decomposed_quantize_per_tensor_default_1527: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_436, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_436 = None 2025-03-21T20:31:49.3481812Z quantized_decomposed_dequantize_per_tensor_default_2104: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1527, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1527 = None 2025-03-21T20:31:49.3482661Z aten_select_copy_int_437: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2104, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2104 = None 2025-03-21T20:31:49.3483686Z quantized_decomposed_quantize_per_tensor_default_1528: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_437, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_437 = None 2025-03-21T20:31:49.3483796Z 2025-03-21T20:31:49.3484865Z # File: .50:5353 in forward, code: dequantize_per_tensor_default_1686 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1686, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1686 = None 2025-03-21T20:31:49.3486206Z quantized_decomposed_dequantize_per_tensor_default_2105: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1528, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1528 = None 2025-03-21T20:31:49.3486304Z 2025-03-21T20:31:49.3487025Z # 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) 2025-03-21T20:31:49.3487955Z aten_permute_copy_default_379: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2080, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2080 = None 2025-03-21T20:31:49.3489052Z quantized_decomposed_quantize_per_tensor_default_1529: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_379, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_379 = None 2025-03-21T20:31:49.3490389Z quantized_decomposed_dequantize_per_tensor_default_2106: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1529, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1529 = None 2025-03-21T20:31:49.3491256Z aten_select_copy_int_438: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2106, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2106 = None 2025-03-21T20:31:49.3492307Z quantized_decomposed_quantize_per_tensor_default_1530: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_438, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_438 = None 2025-03-21T20:31:49.3493641Z quantized_decomposed_dequantize_per_tensor_default_2107: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1530, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1530 = None 2025-03-21T20:31:49.3494526Z aten_select_copy_int_439: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2107, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2107 = None 2025-03-21T20:31:49.3495574Z quantized_decomposed_quantize_per_tensor_default_1531: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_439, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_439 = None 2025-03-21T20:31:49.3495672Z 2025-03-21T20:31:49.3496750Z # File: .50:5362 in forward, code: dequantize_per_tensor_default_1689 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1689, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1689 = None 2025-03-21T20:31:49.3498067Z quantized_decomposed_dequantize_per_tensor_default_2108: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1531, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1531 = None 2025-03-21T20:31:49.3498179Z 2025-03-21T20:31:49.3498897Z # 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) 2025-03-21T20:31:49.3499814Z aten_permute_copy_default_380: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2079, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2079 = None 2025-03-21T20:31:49.3500896Z quantized_decomposed_quantize_per_tensor_default_1532: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_380, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_380 = None 2025-03-21T20:31:49.3502255Z quantized_decomposed_dequantize_per_tensor_default_2109: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1532, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1532 = None 2025-03-21T20:31:49.3503100Z aten_select_copy_int_440: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2109, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2109 = None 2025-03-21T20:31:49.3504135Z quantized_decomposed_quantize_per_tensor_default_1533: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_440, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_440 = None 2025-03-21T20:31:49.3505456Z quantized_decomposed_dequantize_per_tensor_default_2110: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1533, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1533 = None 2025-03-21T20:31:49.3506335Z aten_select_copy_int_441: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2110, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2110 = None 2025-03-21T20:31:49.3507344Z quantized_decomposed_quantize_per_tensor_default_1534: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_441, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_441 = None 2025-03-21T20:31:49.3507483Z 2025-03-21T20:31:49.3508569Z # File: .50:5371 in forward, code: dequantize_per_tensor_default_1692 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1692, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1692 = None 2025-03-21T20:31:49.3509910Z quantized_decomposed_dequantize_per_tensor_default_2111: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1534, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1534 = None 2025-03-21T20:31:49.3510007Z 2025-03-21T20:31:49.3510741Z # 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) 2025-03-21T20:31:49.3511657Z aten_permute_copy_default_381: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2078, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2078 = None 2025-03-21T20:31:49.3512751Z quantized_decomposed_quantize_per_tensor_default_1535: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_381, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_381 = None 2025-03-21T20:31:49.3514168Z quantized_decomposed_dequantize_per_tensor_default_2112: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1535, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1535 = None 2025-03-21T20:31:49.3515029Z aten_select_copy_int_442: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2112, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2112 = None 2025-03-21T20:31:49.3516101Z quantized_decomposed_quantize_per_tensor_default_1536: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_442, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_442 = None 2025-03-21T20:31:49.3517431Z quantized_decomposed_dequantize_per_tensor_default_2113: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1536, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1536 = None 2025-03-21T20:31:49.3518291Z aten_select_copy_int_443: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2113, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2113 = None 2025-03-21T20:31:49.3519313Z quantized_decomposed_quantize_per_tensor_default_1537: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_443, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_443 = None 2025-03-21T20:31:49.3519456Z 2025-03-21T20:31:49.3520523Z # File: .50:5380 in forward, code: dequantize_per_tensor_default_1695 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1695, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1695 = None 2025-03-21T20:31:49.3521874Z quantized_decomposed_dequantize_per_tensor_default_2114: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1537, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1537 = None 2025-03-21T20:31:49.3522009Z 2025-03-21T20:31:49.3522740Z # 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) 2025-03-21T20:31:49.3523651Z aten_permute_copy_default_382: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2077, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2077 = None 2025-03-21T20:31:49.3524737Z quantized_decomposed_quantize_per_tensor_default_1538: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_382, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_382 = None 2025-03-21T20:31:49.3526063Z quantized_decomposed_dequantize_per_tensor_default_2115: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1538, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1538 = None 2025-03-21T20:31:49.3526915Z aten_select_copy_int_444: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2115, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2115 = None 2025-03-21T20:31:49.3527943Z quantized_decomposed_quantize_per_tensor_default_1539: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_444, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_444 = None 2025-03-21T20:31:49.3529272Z quantized_decomposed_dequantize_per_tensor_default_2116: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1539, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1539 = None 2025-03-21T20:31:49.3530130Z aten_select_copy_int_445: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2116, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2116 = None 2025-03-21T20:31:49.3531165Z quantized_decomposed_quantize_per_tensor_default_1540: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_445, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_445 = None 2025-03-21T20:31:49.3531266Z 2025-03-21T20:31:49.3532337Z # File: .50:5389 in forward, code: dequantize_per_tensor_default_1698 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1698, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1698 = None 2025-03-21T20:31:49.3533677Z quantized_decomposed_dequantize_per_tensor_default_2117: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1540, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1540 = None 2025-03-21T20:31:49.3533789Z 2025-03-21T20:31:49.3534507Z # 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) 2025-03-21T20:31:49.3535456Z aten_permute_copy_default_383: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2076, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2076 = None 2025-03-21T20:31:49.3536554Z quantized_decomposed_quantize_per_tensor_default_1541: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_383, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_383 = None 2025-03-21T20:31:49.3537882Z quantized_decomposed_dequantize_per_tensor_default_2118: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1541, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1541 = None 2025-03-21T20:31:49.3538727Z aten_select_copy_int_446: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2118, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2118 = None 2025-03-21T20:31:49.3539766Z quantized_decomposed_quantize_per_tensor_default_1542: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_446, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_446 = None 2025-03-21T20:31:49.3541078Z quantized_decomposed_dequantize_per_tensor_default_2119: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1542, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1542 = None 2025-03-21T20:31:49.3541935Z aten_select_copy_int_447: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2119, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2119 = None 2025-03-21T20:31:49.3542961Z quantized_decomposed_quantize_per_tensor_default_1543: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_447, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_447 = None 2025-03-21T20:31:49.3543058Z 2025-03-21T20:31:49.3544143Z # File: .50:5398 in forward, code: dequantize_per_tensor_default_1701 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1701, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1701 = None 2025-03-21T20:31:49.3545466Z quantized_decomposed_dequantize_per_tensor_default_2120: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1543, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1543 = None 2025-03-21T20:31:49.3545567Z 2025-03-21T20:31:49.3546299Z # 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) 2025-03-21T20:31:49.3547240Z aten_permute_copy_default_384: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2075, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2075 = None 2025-03-21T20:31:49.3548330Z quantized_decomposed_quantize_per_tensor_default_1544: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_384, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_384 = None 2025-03-21T20:31:49.3549715Z quantized_decomposed_dequantize_per_tensor_default_2121: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1544, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1544 = None 2025-03-21T20:31:49.3550561Z aten_select_copy_int_448: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2121, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2121 = None 2025-03-21T20:31:49.3551594Z quantized_decomposed_quantize_per_tensor_default_1545: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_448, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_448 = None 2025-03-21T20:31:49.3553007Z quantized_decomposed_dequantize_per_tensor_default_2122: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1545, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1545 = None 2025-03-21T20:31:49.3553865Z aten_select_copy_int_449: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2122, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2122 = None 2025-03-21T20:31:49.3554888Z quantized_decomposed_quantize_per_tensor_default_1546: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_449, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_449 = None 2025-03-21T20:31:49.3555002Z 2025-03-21T20:31:49.3556059Z # File: .50:5407 in forward, code: dequantize_per_tensor_default_1704 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1704, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1704 = None 2025-03-21T20:31:49.3557430Z quantized_decomposed_dequantize_per_tensor_default_2123: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1546, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1546 = None 2025-03-21T20:31:49.3557530Z 2025-03-21T20:31:49.3558262Z # 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) 2025-03-21T20:31:49.3559177Z aten_permute_copy_default_385: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2074, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2074 = None 2025-03-21T20:31:49.3560277Z quantized_decomposed_quantize_per_tensor_default_1547: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_385, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_385 = None 2025-03-21T20:31:49.3561627Z quantized_decomposed_dequantize_per_tensor_default_2124: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1547, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1547 = None 2025-03-21T20:31:49.3562508Z aten_select_copy_int_450: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2124, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2124 = None 2025-03-21T20:31:49.3563553Z quantized_decomposed_quantize_per_tensor_default_1548: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_450, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_450 = None 2025-03-21T20:31:49.3564886Z quantized_decomposed_dequantize_per_tensor_default_2125: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1548, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1548 = None 2025-03-21T20:31:49.3565727Z aten_select_copy_int_451: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2125, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2125 = None 2025-03-21T20:31:49.3567028Z quantized_decomposed_quantize_per_tensor_default_1549: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_451, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_451 = None 2025-03-21T20:31:49.3567130Z 2025-03-21T20:31:49.3568207Z # File: .50:5416 in forward, code: dequantize_per_tensor_default_1707 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1707, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1707 = None 2025-03-21T20:31:49.3569522Z quantized_decomposed_dequantize_per_tensor_default_2126: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1549, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1549 = None 2025-03-21T20:31:49.3569636Z 2025-03-21T20:31:49.3570357Z # 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) 2025-03-21T20:31:49.3571360Z aten_permute_copy_default_386: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2073, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2073 = None 2025-03-21T20:31:49.3572437Z quantized_decomposed_quantize_per_tensor_default_1550: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_386, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_386 = None 2025-03-21T20:31:49.3573783Z quantized_decomposed_dequantize_per_tensor_default_2127: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1550, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1550 = None 2025-03-21T20:31:49.3574625Z aten_select_copy_int_452: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2127, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2127 = None 2025-03-21T20:31:49.3575707Z quantized_decomposed_quantize_per_tensor_default_1551: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_452, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_452 = None 2025-03-21T20:31:49.3577092Z quantized_decomposed_dequantize_per_tensor_default_2128: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1551, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1551 = None 2025-03-21T20:31:49.3577968Z aten_select_copy_int_453: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2128, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2128 = None 2025-03-21T20:31:49.3578999Z quantized_decomposed_quantize_per_tensor_default_1552: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_453, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_453 = None 2025-03-21T20:31:49.3579097Z 2025-03-21T20:31:49.3580175Z # File: .50:5425 in forward, code: dequantize_per_tensor_default_1710 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1710, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1710 = None 2025-03-21T20:31:49.3581493Z quantized_decomposed_dequantize_per_tensor_default_2129: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1552, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1552 = None 2025-03-21T20:31:49.3581605Z 2025-03-21T20:31:49.3582327Z # 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) 2025-03-21T20:31:49.3583255Z aten_permute_copy_default_387: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2072, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2072 = None 2025-03-21T20:31:49.3584337Z quantized_decomposed_quantize_per_tensor_default_1553: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_387, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_387 = None 2025-03-21T20:31:49.3585708Z quantized_decomposed_dequantize_per_tensor_default_2130: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1553, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1553 = None 2025-03-21T20:31:49.3586553Z aten_select_copy_int_454: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2130, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2130 = None 2025-03-21T20:31:49.3587599Z quantized_decomposed_quantize_per_tensor_default_1554: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_454, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_454 = None 2025-03-21T20:31:49.3588952Z quantized_decomposed_dequantize_per_tensor_default_2131: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1554, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1554 = None 2025-03-21T20:31:49.3589808Z aten_select_copy_int_455: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2131, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2131 = None 2025-03-21T20:31:49.3590853Z quantized_decomposed_quantize_per_tensor_default_1555: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_455, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_select_copy_int_455 = None 2025-03-21T20:31:49.3590992Z 2025-03-21T20:31:49.3592057Z # File: .50:5434 in forward, code: dequantize_per_tensor_default_1713 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1713, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1713 = None 2025-03-21T20:31:49.3593470Z quantized_decomposed_dequantize_per_tensor_default_2132: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1555, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1555 = None 2025-03-21T20:31:49.3593573Z 2025-03-21T20:31:49.3594305Z # 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) 2025-03-21T20:31:49.3600634Z aten_cat_default_38: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2099, quantized_decomposed_dequantize_per_tensor_default_2102, quantized_decomposed_dequantize_per_tensor_default_2105, quantized_decomposed_dequantize_per_tensor_default_2108, quantized_decomposed_dequantize_per_tensor_default_2111, quantized_decomposed_dequantize_per_tensor_default_2114, quantized_decomposed_dequantize_per_tensor_default_2117, quantized_decomposed_dequantize_per_tensor_default_2120, quantized_decomposed_dequantize_per_tensor_default_2123, quantized_decomposed_dequantize_per_tensor_default_2126, quantized_decomposed_dequantize_per_tensor_default_2129, quantized_decomposed_dequantize_per_tensor_default_2132]); quantized_decomposed_dequantize_per_tensor_default_2099 = quantized_decomposed_dequantize_per_tensor_default_2102 = quantized_decomposed_dequantize_per_tensor_default_2105 = quantized_decomposed_dequantize_per_tensor_default_2108 = quantized_decomposed_dequantize_per_tensor_default_2111 = quantized_decomposed_dequantize_per_tensor_default_2114 = quantized_decomposed_dequantize_per_tensor_default_2117 = quantized_decomposed_dequantize_per_tensor_default_2120 = quantized_decomposed_dequantize_per_tensor_default_2123 = quantized_decomposed_dequantize_per_tensor_default_2126 = quantized_decomposed_dequantize_per_tensor_default_2129 = quantized_decomposed_dequantize_per_tensor_default_2132 = None 2025-03-21T20:31:49.3601639Z quantized_decomposed_quantize_per_tensor_default_1556: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_38, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_cat_default_38 = None 2025-03-21T20:31:49.3602980Z quantized_decomposed_dequantize_per_tensor_default_2133: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1556, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1556 = None 2025-03-21T20:31:49.3603901Z aten_view_copy_default_171: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2133, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2133 = None 2025-03-21T20:31:49.3604965Z quantized_decomposed_quantize_per_tensor_default_1557: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_171, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_view_copy_default_171 = None 2025-03-21T20:31:49.3605090Z 2025-03-21T20:31:49.3605763Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.3607138Z quantized_decomposed_dequantize_per_tensor_default_2134: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1557, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1557 = None 2025-03-21T20:31:49.3607255Z 2025-03-21T20:31:49.3607970Z # 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) 2025-03-21T20:31:49.3608894Z aten_permute_copy_default_388: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2096, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2096 = None 2025-03-21T20:31:49.3609970Z quantized_decomposed_quantize_per_tensor_default_1558: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_388, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_388 = None 2025-03-21T20:31:49.3611297Z quantized_decomposed_dequantize_per_tensor_default_2135: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1558, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1558 = None 2025-03-21T20:31:49.3612136Z aten_select_copy_int_456: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2135, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2135 = None 2025-03-21T20:31:49.3613174Z quantized_decomposed_quantize_per_tensor_default_1559: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_456, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_456 = None 2025-03-21T20:31:49.3614536Z quantized_decomposed_dequantize_per_tensor_default_2136: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1559, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1559 = None 2025-03-21T20:31:49.3615375Z aten_select_copy_int_457: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2136, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2136 = None 2025-03-21T20:31:49.3616401Z quantized_decomposed_quantize_per_tensor_default_1560: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_457, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_457 = None 2025-03-21T20:31:49.3616523Z 2025-03-21T20:31:49.3617601Z # File: .50:5449 in forward, code: dequantize_per_tensor_default_1718 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1718, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1718 = None 2025-03-21T20:31:49.3618908Z quantized_decomposed_dequantize_per_tensor_default_2137: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1560, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1560 = None 2025-03-21T20:31:49.3619046Z 2025-03-21T20:31:49.3619796Z # 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) 2025-03-21T20:31:49.3620720Z aten_permute_copy_default_389: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2095, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2095 = None 2025-03-21T20:31:49.3621791Z quantized_decomposed_quantize_per_tensor_default_1561: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_389, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_389 = None 2025-03-21T20:31:49.3623122Z quantized_decomposed_dequantize_per_tensor_default_2138: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1561, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1561 = None 2025-03-21T20:31:49.3623970Z aten_select_copy_int_458: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2138, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2138 = None 2025-03-21T20:31:49.3625011Z quantized_decomposed_quantize_per_tensor_default_1562: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_458, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_458 = None 2025-03-21T20:31:49.3626322Z quantized_decomposed_dequantize_per_tensor_default_2139: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1562, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1562 = None 2025-03-21T20:31:49.3627174Z aten_select_copy_int_459: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2139, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2139 = None 2025-03-21T20:31:49.3628247Z quantized_decomposed_quantize_per_tensor_default_1563: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_459, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_459 = None 2025-03-21T20:31:49.3628359Z 2025-03-21T20:31:49.3629416Z # File: .50:5458 in forward, code: dequantize_per_tensor_default_1721 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1721, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1721 = None 2025-03-21T20:31:49.3630738Z quantized_decomposed_dequantize_per_tensor_default_2140: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1563, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1563 = None 2025-03-21T20:31:49.3630871Z 2025-03-21T20:31:49.3631603Z # 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) 2025-03-21T20:31:49.3632507Z aten_permute_copy_default_390: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2094, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2094 = None 2025-03-21T20:31:49.3633734Z quantized_decomposed_quantize_per_tensor_default_1564: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_390, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_390 = None 2025-03-21T20:31:49.3635059Z quantized_decomposed_dequantize_per_tensor_default_2141: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1564, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1564 = None 2025-03-21T20:31:49.3635907Z aten_select_copy_int_460: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2141, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2141 = None 2025-03-21T20:31:49.3636932Z quantized_decomposed_quantize_per_tensor_default_1565: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_460, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_460 = None 2025-03-21T20:31:49.3638268Z quantized_decomposed_dequantize_per_tensor_default_2142: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1565, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1565 = None 2025-03-21T20:31:49.3639103Z aten_select_copy_int_461: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2142, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2142 = None 2025-03-21T20:31:49.3640130Z quantized_decomposed_quantize_per_tensor_default_1566: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_461, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_461 = None 2025-03-21T20:31:49.3640225Z 2025-03-21T20:31:49.3641321Z # File: .50:5467 in forward, code: dequantize_per_tensor_default_1724 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1724, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1724 = None 2025-03-21T20:31:49.3642633Z quantized_decomposed_dequantize_per_tensor_default_2143: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1566, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1566 = None 2025-03-21T20:31:49.3642744Z 2025-03-21T20:31:49.3643459Z # 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) 2025-03-21T20:31:49.3644386Z aten_permute_copy_default_391: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2093, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2093 = None 2025-03-21T20:31:49.3645482Z quantized_decomposed_quantize_per_tensor_default_1567: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_391, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_391 = None 2025-03-21T20:31:49.3646812Z quantized_decomposed_dequantize_per_tensor_default_2144: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1567, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1567 = None 2025-03-21T20:31:49.3647720Z aten_select_copy_int_462: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2144, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2144 = None 2025-03-21T20:31:49.3648736Z quantized_decomposed_quantize_per_tensor_default_1568: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_462, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_462 = None 2025-03-21T20:31:49.3650054Z quantized_decomposed_dequantize_per_tensor_default_2145: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1568, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1568 = None 2025-03-21T20:31:49.3650901Z aten_select_copy_int_463: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2145, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2145 = None 2025-03-21T20:31:49.3651935Z quantized_decomposed_quantize_per_tensor_default_1569: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_463, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_463 = None 2025-03-21T20:31:49.3652032Z 2025-03-21T20:31:49.3653092Z # File: .50:5476 in forward, code: dequantize_per_tensor_default_1727 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1727, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1727 = None 2025-03-21T20:31:49.3654408Z quantized_decomposed_dequantize_per_tensor_default_2146: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1569, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1569 = None 2025-03-21T20:31:49.3654526Z 2025-03-21T20:31:49.3655261Z # 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) 2025-03-21T20:31:49.3656192Z aten_permute_copy_default_392: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2092, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2092 = None 2025-03-21T20:31:49.3657272Z quantized_decomposed_quantize_per_tensor_default_1570: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_392, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_392 = None 2025-03-21T20:31:49.3658610Z quantized_decomposed_dequantize_per_tensor_default_2147: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1570, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1570 = None 2025-03-21T20:31:49.3659476Z aten_select_copy_int_464: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2147, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2147 = None 2025-03-21T20:31:49.3660536Z quantized_decomposed_quantize_per_tensor_default_1571: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_464, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_464 = None 2025-03-21T20:31:49.3661865Z quantized_decomposed_dequantize_per_tensor_default_2148: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1571, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1571 = None 2025-03-21T20:31:49.3662714Z aten_select_copy_int_465: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2148, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2148 = None 2025-03-21T20:31:49.3663727Z quantized_decomposed_quantize_per_tensor_default_1572: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_465, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_465 = None 2025-03-21T20:31:49.3663840Z 2025-03-21T20:31:49.3664900Z # File: .50:5485 in forward, code: dequantize_per_tensor_default_1730 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1730, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1730 = None 2025-03-21T20:31:49.3666219Z quantized_decomposed_dequantize_per_tensor_default_2149: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1572, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1572 = None 2025-03-21T20:31:49.3666319Z 2025-03-21T20:31:49.3667274Z # 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) 2025-03-21T20:31:49.3668198Z aten_permute_copy_default_393: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2091, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2091 = None 2025-03-21T20:31:49.3669353Z quantized_decomposed_quantize_per_tensor_default_1573: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_393, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_393 = None 2025-03-21T20:31:49.3670680Z quantized_decomposed_dequantize_per_tensor_default_2150: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1573, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1573 = None 2025-03-21T20:31:49.3671541Z aten_select_copy_int_466: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2150, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2150 = None 2025-03-21T20:31:49.3672598Z quantized_decomposed_quantize_per_tensor_default_1574: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_466, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_466 = None 2025-03-21T20:31:49.3674011Z quantized_decomposed_dequantize_per_tensor_default_2151: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1574, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1574 = None 2025-03-21T20:31:49.3674894Z aten_select_copy_int_467: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2151, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2151 = None 2025-03-21T20:31:49.3675948Z quantized_decomposed_quantize_per_tensor_default_1575: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_467, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_467 = None 2025-03-21T20:31:49.3676068Z 2025-03-21T20:31:49.3677117Z # File: .50:5494 in forward, code: dequantize_per_tensor_default_1733 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1733, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1733 = None 2025-03-21T20:31:49.3678443Z quantized_decomposed_dequantize_per_tensor_default_2152: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1575, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1575 = None 2025-03-21T20:31:49.3678544Z 2025-03-21T20:31:49.3679261Z # 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) 2025-03-21T20:31:49.3680193Z aten_permute_copy_default_394: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2090, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2090 = None 2025-03-21T20:31:49.3681277Z quantized_decomposed_quantize_per_tensor_default_1576: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_394, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_394 = None 2025-03-21T20:31:49.3682597Z quantized_decomposed_dequantize_per_tensor_default_2153: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1576, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1576 = None 2025-03-21T20:31:49.3683511Z aten_select_copy_int_468: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2153, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2153 = None 2025-03-21T20:31:49.3684529Z quantized_decomposed_quantize_per_tensor_default_1577: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_468, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_468 = None 2025-03-21T20:31:49.3685864Z quantized_decomposed_dequantize_per_tensor_default_2154: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1577, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1577 = None 2025-03-21T20:31:49.3686729Z aten_select_copy_int_469: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2154, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2154 = None 2025-03-21T20:31:49.3687765Z quantized_decomposed_quantize_per_tensor_default_1578: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_469, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_469 = None 2025-03-21T20:31:49.3687890Z 2025-03-21T20:31:49.3688983Z # File: .50:5503 in forward, code: dequantize_per_tensor_default_1736 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1736, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1736 = None 2025-03-21T20:31:49.3690307Z quantized_decomposed_dequantize_per_tensor_default_2155: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1578, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1578 = None 2025-03-21T20:31:49.3690421Z 2025-03-21T20:31:49.3691137Z # 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) 2025-03-21T20:31:49.3692070Z aten_permute_copy_default_395: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2089, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2089 = None 2025-03-21T20:31:49.3693143Z quantized_decomposed_quantize_per_tensor_default_1579: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_395, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_395 = None 2025-03-21T20:31:49.3694476Z quantized_decomposed_dequantize_per_tensor_default_2156: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1579, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1579 = None 2025-03-21T20:31:49.3695324Z aten_select_copy_int_470: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2156, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2156 = None 2025-03-21T20:31:49.3696359Z quantized_decomposed_quantize_per_tensor_default_1580: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_470, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_470 = None 2025-03-21T20:31:49.3697690Z quantized_decomposed_dequantize_per_tensor_default_2157: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1580, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1580 = None 2025-03-21T20:31:49.3698542Z aten_select_copy_int_471: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2157, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2157 = None 2025-03-21T20:31:49.3699552Z quantized_decomposed_quantize_per_tensor_default_1581: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_471, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_471 = None 2025-03-21T20:31:49.3699689Z 2025-03-21T20:31:49.3700747Z # File: .50:5512 in forward, code: dequantize_per_tensor_default_1739 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1739, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1739 = None 2025-03-21T20:31:49.3702069Z quantized_decomposed_dequantize_per_tensor_default_2158: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1581, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1581 = None 2025-03-21T20:31:49.3702197Z 2025-03-21T20:31:49.3702951Z # 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) 2025-03-21T20:31:49.3703868Z aten_permute_copy_default_396: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2088, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2088 = None 2025-03-21T20:31:49.3704949Z quantized_decomposed_quantize_per_tensor_default_1582: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_396, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_396 = None 2025-03-21T20:31:49.3706269Z quantized_decomposed_dequantize_per_tensor_default_2159: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1582, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1582 = None 2025-03-21T20:31:49.3707127Z aten_select_copy_int_472: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2159, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2159 = None 2025-03-21T20:31:49.3708160Z quantized_decomposed_quantize_per_tensor_default_1583: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_472, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_472 = None 2025-03-21T20:31:49.3709476Z quantized_decomposed_dequantize_per_tensor_default_2160: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1583, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1583 = None 2025-03-21T20:31:49.3710354Z aten_select_copy_int_473: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2160, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2160 = None 2025-03-21T20:31:49.3711367Z quantized_decomposed_quantize_per_tensor_default_1584: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_473, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_473 = None 2025-03-21T20:31:49.3711481Z 2025-03-21T20:31:49.3712531Z # File: .50:5521 in forward, code: dequantize_per_tensor_default_1742 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1742, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1742 = None 2025-03-21T20:31:49.3713939Z quantized_decomposed_dequantize_per_tensor_default_2161: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1584, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1584 = None 2025-03-21T20:31:49.3714064Z 2025-03-21T20:31:49.3714786Z # 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) 2025-03-21T20:31:49.3715718Z aten_permute_copy_default_397: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2087, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2087 = None 2025-03-21T20:31:49.3716829Z quantized_decomposed_quantize_per_tensor_default_1585: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_397, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_397 = None 2025-03-21T20:31:49.3718155Z quantized_decomposed_dequantize_per_tensor_default_2162: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1585, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1585 = None 2025-03-21T20:31:49.3719010Z aten_select_copy_int_474: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2162, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2162 = None 2025-03-21T20:31:49.3720033Z quantized_decomposed_quantize_per_tensor_default_1586: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_474, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_474 = None 2025-03-21T20:31:49.3721374Z quantized_decomposed_dequantize_per_tensor_default_2163: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1586, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1586 = None 2025-03-21T20:31:49.3722207Z aten_select_copy_int_475: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2163, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2163 = None 2025-03-21T20:31:49.3723234Z quantized_decomposed_quantize_per_tensor_default_1587: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_475, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_475 = None 2025-03-21T20:31:49.3723333Z 2025-03-21T20:31:49.3724436Z # File: .50:5530 in forward, code: dequantize_per_tensor_default_1745 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1745, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1745 = None 2025-03-21T20:31:49.3725751Z quantized_decomposed_dequantize_per_tensor_default_2164: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1587, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1587 = None 2025-03-21T20:31:49.3725863Z 2025-03-21T20:31:49.3726588Z # 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) 2025-03-21T20:31:49.3727543Z aten_permute_copy_default_398: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2086, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2086 = None 2025-03-21T20:31:49.3728621Z quantized_decomposed_quantize_per_tensor_default_1588: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_398, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_398 = None 2025-03-21T20:31:49.3730016Z quantized_decomposed_dequantize_per_tensor_default_2165: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1588, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1588 = None 2025-03-21T20:31:49.3730861Z aten_select_copy_int_476: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2165, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2165 = None 2025-03-21T20:31:49.3731901Z quantized_decomposed_quantize_per_tensor_default_1589: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_476, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_476 = None 2025-03-21T20:31:49.3733212Z quantized_decomposed_dequantize_per_tensor_default_2166: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1589, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1589 = None 2025-03-21T20:31:49.3734071Z aten_select_copy_int_477: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2166, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2166 = None 2025-03-21T20:31:49.3735107Z quantized_decomposed_quantize_per_tensor_default_1590: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_477, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_477 = None 2025-03-21T20:31:49.3735205Z 2025-03-21T20:31:49.3736272Z # File: .50:5539 in forward, code: dequantize_per_tensor_default_1748 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1748, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1748 = None 2025-03-21T20:31:49.3737598Z quantized_decomposed_dequantize_per_tensor_default_2167: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1590, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1590 = None 2025-03-21T20:31:49.3737722Z 2025-03-21T20:31:49.3738454Z # 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) 2025-03-21T20:31:49.3739374Z aten_permute_copy_default_399: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2085, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2085 = None 2025-03-21T20:31:49.3740461Z quantized_decomposed_quantize_per_tensor_default_1591: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_399, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_permute_copy_default_399 = None 2025-03-21T20:31:49.3741831Z quantized_decomposed_dequantize_per_tensor_default_2168: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1591, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1591 = None 2025-03-21T20:31:49.3742671Z aten_select_copy_int_478: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2168, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2168 = None 2025-03-21T20:31:49.3743754Z quantized_decomposed_quantize_per_tensor_default_1592: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_478, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_478 = None 2025-03-21T20:31:49.3745065Z quantized_decomposed_dequantize_per_tensor_default_2169: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1592, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1592 = None 2025-03-21T20:31:49.3745922Z aten_select_copy_int_479: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2169, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2169 = None 2025-03-21T20:31:49.3746938Z quantized_decomposed_quantize_per_tensor_default_1593: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_479, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_select_copy_int_479 = None 2025-03-21T20:31:49.3747050Z 2025-03-21T20:31:49.3748115Z # File: .50:5548 in forward, code: dequantize_per_tensor_default_1751 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1751, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1751 = None 2025-03-21T20:31:49.3749455Z quantized_decomposed_dequantize_per_tensor_default_2170: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1593, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1593 = None 2025-03-21T20:31:49.3749570Z 2025-03-21T20:31:49.3750285Z # 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) 2025-03-21T20:31:49.3756765Z aten_cat_default_39: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2137, quantized_decomposed_dequantize_per_tensor_default_2140, quantized_decomposed_dequantize_per_tensor_default_2143, quantized_decomposed_dequantize_per_tensor_default_2146, quantized_decomposed_dequantize_per_tensor_default_2149, quantized_decomposed_dequantize_per_tensor_default_2152, quantized_decomposed_dequantize_per_tensor_default_2155, quantized_decomposed_dequantize_per_tensor_default_2158, quantized_decomposed_dequantize_per_tensor_default_2161, quantized_decomposed_dequantize_per_tensor_default_2164, quantized_decomposed_dequantize_per_tensor_default_2167, quantized_decomposed_dequantize_per_tensor_default_2170]); quantized_decomposed_dequantize_per_tensor_default_2137 = quantized_decomposed_dequantize_per_tensor_default_2140 = quantized_decomposed_dequantize_per_tensor_default_2143 = quantized_decomposed_dequantize_per_tensor_default_2146 = quantized_decomposed_dequantize_per_tensor_default_2149 = quantized_decomposed_dequantize_per_tensor_default_2152 = quantized_decomposed_dequantize_per_tensor_default_2155 = quantized_decomposed_dequantize_per_tensor_default_2158 = quantized_decomposed_dequantize_per_tensor_default_2161 = quantized_decomposed_dequantize_per_tensor_default_2164 = quantized_decomposed_dequantize_per_tensor_default_2167 = quantized_decomposed_dequantize_per_tensor_default_2170 = None 2025-03-21T20:31:49.3757805Z quantized_decomposed_quantize_per_tensor_default_1594: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_39, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_cat_default_39 = None 2025-03-21T20:31:49.3759176Z quantized_decomposed_dequantize_per_tensor_default_2171: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1594, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1594 = None 2025-03-21T20:31:49.3760084Z aten_view_copy_default_172: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2171, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2171 = None 2025-03-21T20:31:49.3761126Z quantized_decomposed_quantize_per_tensor_default_1595: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_172, 0.0001724863686831668, 32338, 0, 65535, torch.int32); aten_view_copy_default_172 = None 2025-03-21T20:31:49.3761247Z 2025-03-21T20:31:49.3762310Z # File: .50:5554 in forward, code: dequantize_per_tensor_default_1753 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1753, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantize_per_tensor_default_1753 = None 2025-03-21T20:31:49.3763644Z quantized_decomposed_dequantize_per_tensor_default_2172: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1595, 0.0001724863686831668, 32338, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1595 = None 2025-03-21T20:31:49.3763743Z 2025-03-21T20:31:49.3764832Z # File: .50:5555 in forward, code: quantize_per_tensor_default_1754 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1753, 0.0001747508649714291, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1753 = None 2025-03-21T20:31:49.3766156Z quantized_decomposed_quantize_per_tensor_default_1596: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2172, 0.0001747508649714291, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2172 = None 2025-03-21T20:31:49.3766272Z 2025-03-21T20:31:49.3767104Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.3768445Z quantized_decomposed_dequantize_per_tensor_default_2173: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1596, 0.0001747508649714291, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1596 = None 2025-03-21T20:31:49.3768545Z 2025-03-21T20:31:49.3769119Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:49.3770020Z aten_index_tensor_11: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_142, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_142 = None 2025-03-21T20:31:49.3771065Z quantized_decomposed_quantize_per_tensor_default_1597: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_11, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_11 = None 2025-03-21T20:31:49.3771165Z 2025-03-21T20:31:49.3771721Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.3773109Z quantized_decomposed_dequantize_per_tensor_default_2174: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1597, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1597 = None 2025-03-21T20:31:49.3773225Z 2025-03-21T20:31:49.3773874Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.3774800Z aten_permute_copy_default_400: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2134, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_2134 = None 2025-03-21T20:31:49.3775885Z quantized_decomposed_quantize_per_tensor_default_1598: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_400, 0.00041487260023131967, 31841, 0, 65535, torch.int32); aten_permute_copy_default_400 = None 2025-03-21T20:31:49.3776000Z 2025-03-21T20:31:49.3777062Z # File: .50:5562 in forward, code: dequantize_per_tensor_default_1756 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1756, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantize_per_tensor_default_1756 = None 2025-03-21T20:31:49.3778403Z quantized_decomposed_dequantize_per_tensor_default_2175: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1598, 0.00041487260023131967, 31841, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1598 = None 2025-03-21T20:31:49.3778504Z 2025-03-21T20:31:49.3779572Z # File: .50:5563 in forward, code: quantize_per_tensor_default_1757 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1756, 0.0004266138712409884, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1756 = None 2025-03-21T20:31:49.3780920Z quantized_decomposed_quantize_per_tensor_default_1599: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2175, 0.0004266138712409884, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2175 = None 2025-03-21T20:31:49.3781035Z 2025-03-21T20:31:49.3781679Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.3783021Z quantized_decomposed_dequantize_per_tensor_default_2176: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1599, 0.0004266138712409884, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1599 = None 2025-03-21T20:31:49.3783914Z aten_expand_copy_default_36: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2070, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_2070 = None 2025-03-21T20:31:49.3784577Z 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 2025-03-21T20:31:49.3785482Z aten_expand_copy_default_37: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2176, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_2176 = None 2025-03-21T20:31:49.3786171Z 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 2025-03-21T20:31:49.3786927Z 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 2025-03-21T20:31:49.3787527Z 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 2025-03-21T20:31:49.3788569Z quantized_decomposed_quantize_per_tensor_default_1600: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_175, 0.0032424358651041985, 35894, 0, 65535, torch.int32); aten_view_copy_default_175 = None 2025-03-21T20:31:49.3789893Z quantized_decomposed_dequantize_per_tensor_default_2177: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1600, 0.0032424358651041985, 35894, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1600 = None 2025-03-21T20:31:49.3790869Z quantized_decomposed_dequantize_per_tensor_default_2178: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param158, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param158 = None 2025-03-21T20:31:49.3792174Z aten_mul_tensor_145: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2177, quantized_decomposed_dequantize_per_tensor_default_2178); quantized_decomposed_dequantize_per_tensor_default_2177 = quantized_decomposed_dequantize_per_tensor_default_2178 = None 2025-03-21T20:31:49.3793350Z quantized_decomposed_quantize_per_tensor_default_1601: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_145, 0.0004053044831380248, 35894, 0, 65535, torch.int32); aten_mul_tensor_145 = None 2025-03-21T20:31:49.3793465Z 2025-03-21T20:31:49.3794007Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.3795379Z quantized_decomposed_dequantize_per_tensor_default_2179: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1601, 0.0004053044831380248, 35894, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1601 = None 2025-03-21T20:31:49.3796668Z aten_add_tensor_47: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2179, quantized_decomposed_dequantize_per_tensor_default_2174); quantized_decomposed_dequantize_per_tensor_default_2179 = quantized_decomposed_dequantize_per_tensor_default_2174 = None 2025-03-21T20:31:49.3797653Z quantized_decomposed_quantize_per_tensor_default_1602: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_47, 0.004210181534290314, 63056, 0, 65535, torch.int32); aten_add_tensor_47 = None 2025-03-21T20:31:49.3797781Z 2025-03-21T20:31:49.3798434Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:49.3799743Z quantized_decomposed_dequantize_per_tensor_default_2180: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1602, 0.004210181534290314, 63056, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1602 = None 2025-03-21T20:31:49.3800697Z aten__softmax_default_9: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_2180, -1, False); quantized_decomposed_dequantize_per_tensor_default_2180 = None 2025-03-21T20:31:49.3801705Z quantized_decomposed_quantize_per_tensor_default_1603: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_9, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_9 = None 2025-03-21T20:31:49.3801818Z 2025-03-21T20:31:49.3802336Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.3803657Z quantized_decomposed_dequantize_per_tensor_default_2181: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1603, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1603 = None 2025-03-21T20:31:49.3804565Z aten_expand_copy_default_38: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2181, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_2181 = None 2025-03-21T20:31:49.3805213Z 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 2025-03-21T20:31:49.3806117Z aten_expand_copy_default_39: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2173, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2173 = None 2025-03-21T20:31:49.3806777Z 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 2025-03-21T20:31:49.3807550Z 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 2025-03-21T20:31:49.3808145Z 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 2025-03-21T20:31:49.3809185Z quantized_decomposed_quantize_per_tensor_default_1604: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_178, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_view_copy_default_178 = None 2025-03-21T20:31:49.3809304Z 2025-03-21T20:31:49.3810005Z # 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) 2025-03-21T20:31:49.3811364Z quantized_decomposed_dequantize_per_tensor_default_2182: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1604, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1604 = None 2025-03-21T20:31:49.3812263Z aten_permute_copy_default_401: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2182, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2182 = None 2025-03-21T20:31:49.3813397Z quantized_decomposed_quantize_per_tensor_default_1605: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_401, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_permute_copy_default_401 = None 2025-03-21T20:31:49.3814717Z quantized_decomposed_dequantize_per_tensor_default_2183: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1605, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1605 = None 2025-03-21T20:31:49.3815614Z aten_view_copy_default_179: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2183, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_2183 = None 2025-03-21T20:31:49.3816670Z quantized_decomposed_quantize_per_tensor_default_1606: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_179, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_view_copy_default_179 = None 2025-03-21T20:31:49.3816770Z 2025-03-21T20:31:49.3817359Z # 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) 2025-03-21T20:31:49.3818687Z quantized_decomposed_dequantize_per_tensor_default_2184: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1606, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1606 = None 2025-03-21T20:31:49.3819610Z aten_unsqueeze_copy_default_106: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2184, -1); quantized_decomposed_dequantize_per_tensor_default_2184 = None 2025-03-21T20:31:49.3820712Z quantized_decomposed_quantize_per_tensor_default_1607: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_106, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_unsqueeze_copy_default_106 = None 2025-03-21T20:31:49.3820810Z 2025-03-21T20:31:49.3821304Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3822628Z quantized_decomposed_dequantize_per_tensor_default_2185: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1607, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1607 = None 2025-03-21T20:31:49.3823557Z aten_permute_copy_default_402: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2185, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2185 = None 2025-03-21T20:31:49.3824625Z quantized_decomposed_quantize_per_tensor_default_1608: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_402, 0.00012377489474602044, 34871, 0, 65535, torch.int32); aten_permute_copy_default_402 = None 2025-03-21T20:31:49.3824766Z 2025-03-21T20:31:49.3825177Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3826509Z quantized_decomposed_dequantize_per_tensor_default_2186: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1608, 0.00012377489474602044, 34871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1608 = None 2025-03-21T20:31:49.3828029Z aten_convolution_default_66: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2186, quantized_decomposed_dequantize_per_tensor_default_86, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2186 = quantized_decomposed_dequantize_per_tensor_default_86 = None 2025-03-21T20:31:49.3829113Z quantized_decomposed_quantize_per_tensor_default_1609: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_66, 0.00013408258382696658, 24208, 0, 65535, torch.int32); aten_convolution_default_66 = None 2025-03-21T20:31:49.3829229Z 2025-03-21T20:31:49.3829700Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3831024Z quantized_decomposed_dequantize_per_tensor_default_2187: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1609, 0.00013408258382696658, 24208, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1609 = None 2025-03-21T20:31:49.3831944Z aten_permute_copy_default_403: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2187, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2187 = None 2025-03-21T20:31:49.3833128Z quantized_decomposed_quantize_per_tensor_default_1610: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_403, 0.00013408258382696658, 24208, 0, 65535, torch.int32); aten_permute_copy_default_403 = None 2025-03-21T20:31:49.3833233Z 2025-03-21T20:31:49.3833843Z # 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]) 2025-03-21T20:31:49.3835201Z quantized_decomposed_dequantize_per_tensor_default_2188: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1610, 0.00013408258382696658, 24208, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1610 = None 2025-03-21T20:31:49.3836092Z aten_squeeze_copy_dims_106: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2188, [-1]); quantized_decomposed_dequantize_per_tensor_default_2188 = None 2025-03-21T20:31:49.3837129Z quantized_decomposed_quantize_per_tensor_default_1611: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_106, 0.00013408258382696658, 24208, 0, 65535, torch.int32); aten_squeeze_copy_dims_106 = None 2025-03-21T20:31:49.3837242Z 2025-03-21T20:31:49.3837664Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.3839024Z quantized_decomposed_dequantize_per_tensor_default_2189: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1611, 0.00013408258382696658, 24208, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1611 = None 2025-03-21T20:31:49.3840324Z aten_add_tensor_48: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2009, quantized_decomposed_dequantize_per_tensor_default_2189); quantized_decomposed_dequantize_per_tensor_default_2009 = quantized_decomposed_dequantize_per_tensor_default_2189 = None 2025-03-21T20:31:49.3841388Z quantized_decomposed_quantize_per_tensor_default_1612: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_48, 0.002711330307647586, 7452, 0, 65535, torch.int32); aten_add_tensor_48 = None 2025-03-21T20:31:49.3841487Z 2025-03-21T20:31:49.3842063Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.3843114Z quantized_decomposed_dequantize_per_tensor_default_2190: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1612, 0.002711330307647586, 7452, 0, 65535, torch.int32) 2025-03-21T20:31:49.3844433Z quantized_decomposed_dequantize_per_tensor_default_2191: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1612, 0.002711330307647586, 7452, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1612 = None 2025-03-21T20:31:49.3845015Z aten_pow_tensor_scalar_19: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2191, 2) 2025-03-21T20:31:49.3845548Z 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 2025-03-21T20:31:49.3846048Z 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 2025-03-21T20:31:49.3846528Z 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 2025-03-21T20:31:49.3847518Z aten_mul_tensor_146: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2191, aten_rsqrt_default_19); quantized_decomposed_dequantize_per_tensor_default_2191 = aten_rsqrt_default_19 = None 2025-03-21T20:31:49.3848466Z aten_mul_tensor_147: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_146, quantized_decomposed_dequantize_per_tensor_default_87); aten_mul_tensor_146 = quantized_decomposed_dequantize_per_tensor_default_87 = None 2025-03-21T20:31:49.3849465Z quantized_decomposed_quantize_per_tensor_default_1613: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_147, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_mul_tensor_147 = None 2025-03-21T20:31:49.3849563Z 2025-03-21T20:31:49.3850160Z # 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) 2025-03-21T20:31:49.3851215Z quantized_decomposed_dequantize_per_tensor_default_2192: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1613, 0.00043149059638381004, 21157, 0, 65535, torch.int32) 2025-03-21T20:31:49.3852563Z quantized_decomposed_dequantize_per_tensor_default_2193: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1613, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1613 = None 2025-03-21T20:31:49.3853522Z aten_unsqueeze_copy_default_107: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2193, -1); quantized_decomposed_dequantize_per_tensor_default_2193 = None 2025-03-21T20:31:49.3854633Z quantized_decomposed_quantize_per_tensor_default_1614: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_107, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_unsqueeze_copy_default_107 = None 2025-03-21T20:31:49.3854748Z 2025-03-21T20:31:49.3855204Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3856521Z quantized_decomposed_dequantize_per_tensor_default_2194: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1614, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1614 = None 2025-03-21T20:31:49.3857446Z aten_permute_copy_default_404: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2194, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2194 = None 2025-03-21T20:31:49.3858518Z quantized_decomposed_quantize_per_tensor_default_1615: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_404, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_permute_copy_default_404 = None 2025-03-21T20:31:49.3858617Z 2025-03-21T20:31:49.3859026Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3860342Z quantized_decomposed_dequantize_per_tensor_default_2195: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1615, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1615 = None 2025-03-21T20:31:49.3861844Z aten_convolution_default_67: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2195, quantized_decomposed_dequantize_per_tensor_default_88, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2195 = quantized_decomposed_dequantize_per_tensor_default_88 = None 2025-03-21T20:31:49.3862909Z quantized_decomposed_quantize_per_tensor_default_1616: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_67, 0.0001975321938516572, 32198, 0, 65535, torch.int32); aten_convolution_default_67 = None 2025-03-21T20:31:49.3863019Z 2025-03-21T20:31:49.3863491Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3864822Z quantized_decomposed_dequantize_per_tensor_default_2196: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1616, 0.0001975321938516572, 32198, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1616 = None 2025-03-21T20:31:49.3865765Z aten_permute_copy_default_405: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2196, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2196 = None 2025-03-21T20:31:49.3867073Z quantized_decomposed_quantize_per_tensor_default_1617: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_405, 0.0001975321938516572, 32198, 0, 65535, torch.int32); aten_permute_copy_default_405 = None 2025-03-21T20:31:49.3867245Z 2025-03-21T20:31:49.3867884Z # 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]) 2025-03-21T20:31:49.3869231Z quantized_decomposed_dequantize_per_tensor_default_2197: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1617, 0.0001975321938516572, 32198, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1617 = None 2025-03-21T20:31:49.3870115Z aten_squeeze_copy_dims_107: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2197, [-1]); quantized_decomposed_dequantize_per_tensor_default_2197 = None 2025-03-21T20:31:49.3871160Z quantized_decomposed_quantize_per_tensor_default_1618: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_107, 0.0001975321938516572, 32198, 0, 65535, torch.int32); aten_squeeze_copy_dims_107 = None 2025-03-21T20:31:49.3871276Z 2025-03-21T20:31:49.3871851Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.3872979Z quantized_decomposed_dequantize_per_tensor_default_2198: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1618, 0.0001975321938516572, 32198, 0, 65535, torch.int32) 2025-03-21T20:31:49.3874314Z quantized_decomposed_dequantize_per_tensor_default_2199: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1618, 0.0001975321938516572, 32198, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1618 = None 2025-03-21T20:31:49.3875172Z aten_sigmoid_default_9: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_2199); quantized_decomposed_dequantize_per_tensor_default_2199 = None 2025-03-21T20:31:49.3876190Z quantized_decomposed_quantize_per_tensor_default_1619: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_9, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_9 = None 2025-03-21T20:31:49.3877480Z quantized_decomposed_dequantize_per_tensor_default_2200: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1619, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1619 = None 2025-03-21T20:31:49.3878789Z aten_mul_tensor_148: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2198, quantized_decomposed_dequantize_per_tensor_default_2200); quantized_decomposed_dequantize_per_tensor_default_2198 = quantized_decomposed_dequantize_per_tensor_default_2200 = None 2025-03-21T20:31:49.3879836Z quantized_decomposed_quantize_per_tensor_default_1620: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_148, 0.0001045933531713672, 2662, 0, 65535, torch.int32); aten_mul_tensor_148 = None 2025-03-21T20:31:49.3881151Z quantized_decomposed_dequantize_per_tensor_default_2201: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1620, 0.0001045933531713672, 2662, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1620 = None 2025-03-21T20:31:49.3881288Z 2025-03-21T20:31:49.3881897Z # 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) 2025-03-21T20:31:49.3882833Z aten_unsqueeze_copy_default_108: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2192, -1); quantized_decomposed_dequantize_per_tensor_default_2192 = None 2025-03-21T20:31:49.3883932Z quantized_decomposed_quantize_per_tensor_default_1621: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_108, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_unsqueeze_copy_default_108 = None 2025-03-21T20:31:49.3884043Z 2025-03-21T20:31:49.3884495Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3885837Z quantized_decomposed_dequantize_per_tensor_default_2202: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1621, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1621 = None 2025-03-21T20:31:49.3886752Z aten_permute_copy_default_406: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2202, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2202 = None 2025-03-21T20:31:49.3887840Z quantized_decomposed_quantize_per_tensor_default_1622: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_406, 0.00043149059638381004, 21157, 0, 65535, torch.int32); aten_permute_copy_default_406 = None 2025-03-21T20:31:49.3887938Z 2025-03-21T20:31:49.3888359Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3889720Z quantized_decomposed_dequantize_per_tensor_default_2203: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1622, 0.00043149059638381004, 21157, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1622 = None 2025-03-21T20:31:49.3891191Z aten_convolution_default_68: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2203, quantized_decomposed_dequantize_per_tensor_default_89, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2203 = quantized_decomposed_dequantize_per_tensor_default_89 = None 2025-03-21T20:31:49.3892273Z quantized_decomposed_quantize_per_tensor_default_1623: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_68, 0.00024529712391085923, 28114, 0, 65535, torch.int32); aten_convolution_default_68 = None 2025-03-21T20:31:49.3892407Z 2025-03-21T20:31:49.3892884Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3894219Z quantized_decomposed_dequantize_per_tensor_default_2204: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1623, 0.00024529712391085923, 28114, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1623 = None 2025-03-21T20:31:49.3895153Z aten_permute_copy_default_407: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2204, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2204 = None 2025-03-21T20:31:49.3896273Z quantized_decomposed_quantize_per_tensor_default_1624: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_407, 0.00024529712391085923, 28114, 0, 65535, torch.int32); aten_permute_copy_default_407 = None 2025-03-21T20:31:49.3896377Z 2025-03-21T20:31:49.3896991Z # 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]) 2025-03-21T20:31:49.3898321Z quantized_decomposed_dequantize_per_tensor_default_2205: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1624, 0.00024529712391085923, 28114, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1624 = None 2025-03-21T20:31:49.3899211Z aten_squeeze_copy_dims_108: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2205, [-1]); quantized_decomposed_dequantize_per_tensor_default_2205 = None 2025-03-21T20:31:49.3900262Z quantized_decomposed_quantize_per_tensor_default_1625: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_108, 0.00024529712391085923, 28114, 0, 65535, torch.int32); aten_squeeze_copy_dims_108 = None 2025-03-21T20:31:49.3900376Z 2025-03-21T20:31:49.3900953Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.3902294Z quantized_decomposed_dequantize_per_tensor_default_2206: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1625, 0.00024529712391085923, 28114, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1625 = None 2025-03-21T20:31:49.3903624Z aten_mul_tensor_149: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2201, quantized_decomposed_dequantize_per_tensor_default_2206); quantized_decomposed_dequantize_per_tensor_default_2201 = quantized_decomposed_dequantize_per_tensor_default_2206 = None 2025-03-21T20:31:49.3904624Z quantized_decomposed_quantize_per_tensor_default_1626: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_149, 0.0006203429074957967, 26598, 0, 65535, torch.int32); aten_mul_tensor_149 = None 2025-03-21T20:31:49.3904725Z 2025-03-21T20:31:49.3905326Z # 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) 2025-03-21T20:31:49.3906646Z quantized_decomposed_dequantize_per_tensor_default_2207: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1626, 0.0006203429074957967, 26598, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1626 = None 2025-03-21T20:31:49.3907615Z aten_unsqueeze_copy_default_109: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2207, -1); quantized_decomposed_dequantize_per_tensor_default_2207 = None 2025-03-21T20:31:49.3908710Z quantized_decomposed_quantize_per_tensor_default_1627: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_109, 0.0006203429074957967, 26598, 0, 65535, torch.int32); aten_unsqueeze_copy_default_109 = None 2025-03-21T20:31:49.3908849Z 2025-03-21T20:31:49.3909331Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3910681Z quantized_decomposed_dequantize_per_tensor_default_2208: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1627, 0.0006203429074957967, 26598, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1627 = None 2025-03-21T20:31:49.3911599Z aten_permute_copy_default_408: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2208, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2208 = None 2025-03-21T20:31:49.3912694Z quantized_decomposed_quantize_per_tensor_default_1628: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_408, 0.0006203429074957967, 26598, 0, 65535, torch.int32); aten_permute_copy_default_408 = None 2025-03-21T20:31:49.3912887Z 2025-03-21T20:31:49.3913319Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3914647Z quantized_decomposed_dequantize_per_tensor_default_2209: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1628, 0.0006203429074957967, 26598, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1628 = None 2025-03-21T20:31:49.3916117Z aten_convolution_default_69: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2209, quantized_decomposed_dequantize_per_tensor_default_90, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2209 = quantized_decomposed_dequantize_per_tensor_default_90 = None 2025-03-21T20:31:49.3917206Z quantized_decomposed_quantize_per_tensor_default_1629: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_69, 0.0003197697224095464, 32722, 0, 65535, torch.int32); aten_convolution_default_69 = None 2025-03-21T20:31:49.3917323Z 2025-03-21T20:31:49.3917798Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3919129Z quantized_decomposed_dequantize_per_tensor_default_2210: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1629, 0.0003197697224095464, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1629 = None 2025-03-21T20:31:49.3920041Z aten_permute_copy_default_409: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2210, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2210 = None 2025-03-21T20:31:49.3921158Z quantized_decomposed_quantize_per_tensor_default_1630: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_409, 0.0003197697224095464, 32722, 0, 65535, torch.int32); aten_permute_copy_default_409 = None 2025-03-21T20:31:49.3921257Z 2025-03-21T20:31:49.3921874Z # 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]) 2025-03-21T20:31:49.3923231Z quantized_decomposed_dequantize_per_tensor_default_2211: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1630, 0.0003197697224095464, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1630 = None 2025-03-21T20:31:49.3924108Z aten_squeeze_copy_dims_109: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2211, [-1]); quantized_decomposed_dequantize_per_tensor_default_2211 = None 2025-03-21T20:31:49.3925149Z quantized_decomposed_quantize_per_tensor_default_1631: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_109, 0.0003197697224095464, 32722, 0, 65535, torch.int32); aten_squeeze_copy_dims_109 = None 2025-03-21T20:31:49.3925260Z 2025-03-21T20:31:49.3925829Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.3927148Z quantized_decomposed_dequantize_per_tensor_default_2212: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1631, 0.0003197697224095464, 32722, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1631 = None 2025-03-21T20:31:49.3928440Z aten_add_tensor_49: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2190, quantized_decomposed_dequantize_per_tensor_default_2212); quantized_decomposed_dequantize_per_tensor_default_2190 = quantized_decomposed_dequantize_per_tensor_default_2212 = None 2025-03-21T20:31:49.3929411Z quantized_decomposed_quantize_per_tensor_default_1632: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_49, 0.002727663842961192, 9020, 0, 65535, torch.int32); aten_add_tensor_49 = None 2025-03-21T20:31:49.3929506Z 2025-03-21T20:31:49.3929936Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.3931015Z quantized_decomposed_dequantize_per_tensor_default_2213: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1632, 0.002727663842961192, 9020, 0, 65535, torch.int32) 2025-03-21T20:31:49.3931123Z 2025-03-21T20:31:49.3931754Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:49.3933071Z quantized_decomposed_dequantize_per_tensor_default_2214: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1632, 0.002727663842961192, 9020, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1632 = None 2025-03-21T20:31:49.3933657Z aten_pow_tensor_scalar_20: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2214, 2) 2025-03-21T20:31:49.3934209Z 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 2025-03-21T20:31:49.3934709Z 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 2025-03-21T20:31:49.3935224Z 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 2025-03-21T20:31:49.3936238Z aten_mul_tensor_150: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2214, aten_rsqrt_default_20); quantized_decomposed_dequantize_per_tensor_default_2214 = aten_rsqrt_default_20 = None 2025-03-21T20:31:49.3937178Z aten_mul_tensor_151: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_150, quantized_decomposed_dequantize_per_tensor_default_91); aten_mul_tensor_150 = quantized_decomposed_dequantize_per_tensor_default_91 = None 2025-03-21T20:31:49.3938148Z quantized_decomposed_quantize_per_tensor_default_1633: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_151, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_mul_tensor_151 = None 2025-03-21T20:31:49.3938260Z 2025-03-21T20:31:49.3938842Z # 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) 2025-03-21T20:31:49.3939901Z quantized_decomposed_dequantize_per_tensor_default_2215: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1633, 0.000514648447278887, 33371, 0, 65535, torch.int32) 2025-03-21T20:31:49.3940939Z quantized_decomposed_dequantize_per_tensor_default_2216: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1633, 0.000514648447278887, 33371, 0, 65535, torch.int32) 2025-03-21T20:31:49.3942261Z quantized_decomposed_dequantize_per_tensor_default_2217: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1633, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1633 = None 2025-03-21T20:31:49.3943181Z aten_unsqueeze_copy_default_110: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2217, -1); quantized_decomposed_dequantize_per_tensor_default_2217 = None 2025-03-21T20:31:49.3944308Z quantized_decomposed_quantize_per_tensor_default_1634: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_110, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_unsqueeze_copy_default_110 = None 2025-03-21T20:31:49.3944410Z 2025-03-21T20:31:49.3944879Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3946189Z quantized_decomposed_dequantize_per_tensor_default_2218: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1634, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1634 = None 2025-03-21T20:31:49.3947111Z aten_permute_copy_default_410: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2218, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2218 = None 2025-03-21T20:31:49.3948199Z quantized_decomposed_quantize_per_tensor_default_1635: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_410, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_permute_copy_default_410 = None 2025-03-21T20:31:49.3948340Z 2025-03-21T20:31:49.3948750Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3950095Z quantized_decomposed_dequantize_per_tensor_default_2219: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1635, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1635 = None 2025-03-21T20:31:49.3951551Z aten_convolution_default_70: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2219, quantized_decomposed_dequantize_per_tensor_default_92, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2219 = quantized_decomposed_dequantize_per_tensor_default_92 = None 2025-03-21T20:31:49.3952619Z quantized_decomposed_quantize_per_tensor_default_1636: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_70, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_convolution_default_70 = None 2025-03-21T20:31:49.3952718Z 2025-03-21T20:31:49.3953319Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3954639Z quantized_decomposed_dequantize_per_tensor_default_2220: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1636, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1636 = None 2025-03-21T20:31:49.3955557Z aten_permute_copy_default_411: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2220, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2220 = None 2025-03-21T20:31:49.3956626Z quantized_decomposed_quantize_per_tensor_default_1637: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_411, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_permute_copy_default_411 = None 2025-03-21T20:31:49.3956737Z 2025-03-21T20:31:49.3957340Z # 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]) 2025-03-21T20:31:49.3958696Z quantized_decomposed_dequantize_per_tensor_default_2221: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1637, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1637 = None 2025-03-21T20:31:49.3959559Z aten_squeeze_copy_dims_110: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2221, [-1]); quantized_decomposed_dequantize_per_tensor_default_2221 = None 2025-03-21T20:31:49.3960614Z quantized_decomposed_quantize_per_tensor_default_1638: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_110, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_squeeze_copy_dims_110 = None 2025-03-21T20:31:49.3960737Z 2025-03-21T20:31:49.3961336Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.3962641Z quantized_decomposed_dequantize_per_tensor_default_2222: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1638, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1638 = None 2025-03-21T20:31:49.3962781Z 2025-03-21T20:31:49.3963365Z # 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) 2025-03-21T20:31:49.3964328Z aten_unsqueeze_copy_default_111: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2216, -1); quantized_decomposed_dequantize_per_tensor_default_2216 = None 2025-03-21T20:31:49.3965423Z quantized_decomposed_quantize_per_tensor_default_1639: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_111, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_unsqueeze_copy_default_111 = None 2025-03-21T20:31:49.3965536Z 2025-03-21T20:31:49.3965991Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3967539Z quantized_decomposed_dequantize_per_tensor_default_2223: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1639, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1639 = None 2025-03-21T20:31:49.3968455Z aten_permute_copy_default_412: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2223, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2223 = None 2025-03-21T20:31:49.3969533Z quantized_decomposed_quantize_per_tensor_default_1640: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_412, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_permute_copy_default_412 = None 2025-03-21T20:31:49.3969634Z 2025-03-21T20:31:49.3970058Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3971437Z quantized_decomposed_dequantize_per_tensor_default_2224: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1640, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1640 = None 2025-03-21T20:31:49.3972904Z aten_convolution_default_71: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2224, quantized_decomposed_dequantize_per_tensor_default_93, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2224 = quantized_decomposed_dequantize_per_tensor_default_93 = None 2025-03-21T20:31:49.3973969Z quantized_decomposed_quantize_per_tensor_default_1641: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_71, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_convolution_default_71 = None 2025-03-21T20:31:49.3974084Z 2025-03-21T20:31:49.3974591Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3975924Z quantized_decomposed_dequantize_per_tensor_default_2225: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1641, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1641 = None 2025-03-21T20:31:49.3976870Z aten_permute_copy_default_413: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2225, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2225 = None 2025-03-21T20:31:49.3977982Z quantized_decomposed_quantize_per_tensor_default_1642: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_413, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_permute_copy_default_413 = None 2025-03-21T20:31:49.3978081Z 2025-03-21T20:31:49.3978692Z # 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]) 2025-03-21T20:31:49.3980015Z quantized_decomposed_dequantize_per_tensor_default_2226: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1642, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1642 = None 2025-03-21T20:31:49.3980896Z aten_squeeze_copy_dims_111: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2226, [-1]); quantized_decomposed_dequantize_per_tensor_default_2226 = None 2025-03-21T20:31:49.3981935Z quantized_decomposed_quantize_per_tensor_default_1643: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_111, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_squeeze_copy_dims_111 = None 2025-03-21T20:31:49.3982046Z 2025-03-21T20:31:49.3982632Z # 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) 2025-03-21T20:31:49.3983963Z quantized_decomposed_dequantize_per_tensor_default_2227: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1643, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1643 = None 2025-03-21T20:31:49.3984061Z 2025-03-21T20:31:49.3984648Z # 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) 2025-03-21T20:31:49.3985599Z aten_unsqueeze_copy_default_112: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2215, -1); quantized_decomposed_dequantize_per_tensor_default_2215 = None 2025-03-21T20:31:49.3986688Z quantized_decomposed_quantize_per_tensor_default_1644: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_112, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_unsqueeze_copy_default_112 = None 2025-03-21T20:31:49.3986786Z 2025-03-21T20:31:49.3987237Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.3988565Z quantized_decomposed_dequantize_per_tensor_default_2228: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1644, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1644 = None 2025-03-21T20:31:49.3989508Z aten_permute_copy_default_414: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2228, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2228 = None 2025-03-21T20:31:49.3990608Z quantized_decomposed_quantize_per_tensor_default_1645: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_414, 0.000514648447278887, 33371, 0, 65535, torch.int32); aten_permute_copy_default_414 = None 2025-03-21T20:31:49.3990718Z 2025-03-21T20:31:49.3991152Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.3992474Z quantized_decomposed_dequantize_per_tensor_default_2229: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1645, 0.000514648447278887, 33371, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1645 = None 2025-03-21T20:31:49.3994017Z aten_convolution_default_72: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2229, quantized_decomposed_dequantize_per_tensor_default_94, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2229 = quantized_decomposed_dequantize_per_tensor_default_94 = None 2025-03-21T20:31:49.3995104Z quantized_decomposed_quantize_per_tensor_default_1646: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_72, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_convolution_default_72 = None 2025-03-21T20:31:49.3995203Z 2025-03-21T20:31:49.3995686Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.3997010Z quantized_decomposed_dequantize_per_tensor_default_2230: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1646, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1646 = None 2025-03-21T20:31:49.3997929Z aten_permute_copy_default_415: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2230, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2230 = None 2025-03-21T20:31:49.3999029Z quantized_decomposed_quantize_per_tensor_default_1647: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_415, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_415 = None 2025-03-21T20:31:49.3999144Z 2025-03-21T20:31:49.3999741Z # 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]) 2025-03-21T20:31:49.4001081Z quantized_decomposed_dequantize_per_tensor_default_2231: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1647, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1647 = None 2025-03-21T20:31:49.4001943Z aten_squeeze_copy_dims_112: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2231, [-1]); quantized_decomposed_dequantize_per_tensor_default_2231 = None 2025-03-21T20:31:49.4003025Z quantized_decomposed_quantize_per_tensor_default_1648: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_112, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_squeeze_copy_dims_112 = None 2025-03-21T20:31:49.4003150Z 2025-03-21T20:31:49.4003752Z # 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) 2025-03-21T20:31:49.4005090Z quantized_decomposed_dequantize_per_tensor_default_2232: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1648, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1648 = None 2025-03-21T20:31:49.4005201Z 2025-03-21T20:31:49.4005778Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.4006653Z aten_view_copy_default_180: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2222, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2222 = None 2025-03-21T20:31:49.4007699Z quantized_decomposed_quantize_per_tensor_default_1649: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_180, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_view_copy_default_180 = None 2025-03-21T20:31:49.4007798Z 2025-03-21T20:31:49.4008869Z # File: .50:5722 in forward, code: dequantize_per_tensor_default_1808 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1808, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantize_per_tensor_default_1808 = None 2025-03-21T20:31:49.4010173Z quantized_decomposed_dequantize_per_tensor_default_2233: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1649, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1649 = None 2025-03-21T20:31:49.4010286Z 2025-03-21T20:31:49.4010870Z # 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) 2025-03-21T20:31:49.4011761Z aten_view_copy_default_181: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2227, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2227 = None 2025-03-21T20:31:49.4012821Z quantized_decomposed_quantize_per_tensor_default_1650: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_181, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_view_copy_default_181 = None 2025-03-21T20:31:49.4012932Z 2025-03-21T20:31:49.4013991Z # File: .50:5725 in forward, code: dequantize_per_tensor_default_1809 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1809, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantize_per_tensor_default_1809 = None 2025-03-21T20:31:49.4015325Z quantized_decomposed_dequantize_per_tensor_default_2234: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1650, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1650 = None 2025-03-21T20:31:49.4015449Z 2025-03-21T20:31:49.4016049Z # 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) 2025-03-21T20:31:49.4016922Z aten_view_copy_default_182: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2232, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2232 = None 2025-03-21T20:31:49.4018025Z quantized_decomposed_quantize_per_tensor_default_1651: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_182, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_view_copy_default_182 = None 2025-03-21T20:31:49.4018125Z 2025-03-21T20:31:49.4018895Z # 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) 2025-03-21T20:31:49.4020206Z quantized_decomposed_dequantize_per_tensor_default_2235: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1651, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1651 = None 2025-03-21T20:31:49.4020317Z 2025-03-21T20:31:49.4021167Z # File: .50:5730 in forward, code: quantize_per_tensor_default_1811 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_20, 0.000400586926843971, 33468, 0, 65535, torch.int32); _to_copy_20 = None 2025-03-21T20:31:49.4022478Z quantized_decomposed_quantize_per_tensor_default_1652: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2233, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2233 = None 2025-03-21T20:31:49.4022579Z 2025-03-21T20:31:49.4023181Z # 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) 2025-03-21T20:31:49.4024479Z quantized_decomposed_dequantize_per_tensor_default_2236: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1652, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1652 = None 2025-03-21T20:31:49.4025375Z aten_view_copy_default_183: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2236, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2236 = None 2025-03-21T20:31:49.4026430Z quantized_decomposed_quantize_per_tensor_default_1653: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_183, 0.000400586926843971, 33468, 0, 65535, torch.int32); aten_view_copy_default_183 = None 2025-03-21T20:31:49.4027754Z quantized_decomposed_dequantize_per_tensor_default_2237: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1653, 0.000400586926843971, 33468, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1653 = None 2025-03-21T20:31:49.4028363Z aten_slice_copy_tensor_40: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2237, 4, 0, 1) 2025-03-21T20:31:49.4029273Z aten_slice_copy_tensor_41: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2237, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2237 = None 2025-03-21T20:31:49.4029868Z 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 2025-03-21T20:31:49.4030494Z 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 2025-03-21T20:31:49.4031557Z quantized_decomposed_quantize_per_tensor_default_1654: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_113, 0.0003711249737534672, 36125, 0, 65535, torch.int32); aten_squeeze_copy_dims_113 = None 2025-03-21T20:31:49.4031676Z 2025-03-21T20:31:49.4032215Z # 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 2025-03-21T20:31:49.4033376Z quantized_decomposed_dequantize_per_tensor_default_2238: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1654, 0.0003711249737534672, 36125, 0, 65535, torch.int32) 2025-03-21T20:31:49.4033478Z 2025-03-21T20:31:49.4034025Z # 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 2025-03-21T20:31:49.4035338Z quantized_decomposed_dequantize_per_tensor_default_2239: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1654, 0.0003711249737534672, 36125, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1654 = None 2025-03-21T20:31:49.4035458Z 2025-03-21T20:31:49.4036038Z # 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) 2025-03-21T20:31:49.4037087Z quantized_decomposed_quantize_per_tensor_default_1655: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_114, 0.0003442920569796115, 28225, 0, 65535, torch.int32); aten_squeeze_copy_dims_114 = None 2025-03-21T20:31:49.4037186Z 2025-03-21T20:31:49.4037735Z # 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 2025-03-21T20:31:49.4038810Z quantized_decomposed_dequantize_per_tensor_default_2240: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1655, 0.0003442920569796115, 28225, 0, 65535, torch.int32) 2025-03-21T20:31:49.4038927Z 2025-03-21T20:31:49.4039452Z # 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 2025-03-21T20:31:49.4040774Z quantized_decomposed_dequantize_per_tensor_default_2241: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1655, 0.0003442920569796115, 28225, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1655 = None 2025-03-21T20:31:49.4040873Z 2025-03-21T20:31:49.4041734Z # File: .50:5745 in forward, code: quantize_per_tensor_default_1815 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_21, 0.0004142843827139586, 29754, 0, 65535, torch.int32); _to_copy_21 = None 2025-03-21T20:31:49.4043110Z quantized_decomposed_quantize_per_tensor_default_1656: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2234, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2234 = None 2025-03-21T20:31:49.4043233Z 2025-03-21T20:31:49.4043829Z # 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) 2025-03-21T20:31:49.4045157Z quantized_decomposed_dequantize_per_tensor_default_2242: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1656, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1656 = None 2025-03-21T20:31:49.4046054Z aten_view_copy_default_184: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2242, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2242 = None 2025-03-21T20:31:49.4047106Z quantized_decomposed_quantize_per_tensor_default_1657: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_184, 0.0004142843827139586, 29754, 0, 65535, torch.int32); aten_view_copy_default_184 = None 2025-03-21T20:31:49.4048418Z quantized_decomposed_dequantize_per_tensor_default_2243: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1657, 0.0004142843827139586, 29754, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1657 = None 2025-03-21T20:31:49.4049038Z aten_slice_copy_tensor_42: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2243, 4, 0, 1) 2025-03-21T20:31:49.4049892Z aten_slice_copy_tensor_43: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2243, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2243 = None 2025-03-21T20:31:49.4050492Z 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 2025-03-21T20:31:49.4051083Z 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 2025-03-21T20:31:49.4052165Z quantized_decomposed_quantize_per_tensor_default_1658: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_115, 0.00039733032463118434, 28227, 0, 65535, torch.int32); aten_squeeze_copy_dims_115 = None 2025-03-21T20:31:49.4052263Z 2025-03-21T20:31:49.4052810Z # 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 2025-03-21T20:31:49.4053851Z quantized_decomposed_dequantize_per_tensor_default_2244: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1658, 0.00039733032463118434, 28227, 0, 65535, torch.int32) 2025-03-21T20:31:49.4053948Z 2025-03-21T20:31:49.4054487Z # 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 2025-03-21T20:31:49.4055829Z quantized_decomposed_dequantize_per_tensor_default_2245: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1658, 0.00039733032463118434, 28227, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1658 = None 2025-03-21T20:31:49.4055940Z 2025-03-21T20:31:49.4056519Z # 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) 2025-03-21T20:31:49.4057656Z quantized_decomposed_quantize_per_tensor_default_1659: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_116, 0.00039120655856095254, 31509, 0, 65535, torch.int32); aten_squeeze_copy_dims_116 = None 2025-03-21T20:31:49.4057754Z 2025-03-21T20:31:49.4058291Z # 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 2025-03-21T20:31:49.4059343Z quantized_decomposed_dequantize_per_tensor_default_2246: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1659, 0.00039120655856095254, 31509, 0, 65535, torch.int32) 2025-03-21T20:31:49.4059453Z 2025-03-21T20:31:49.4059985Z # 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 2025-03-21T20:31:49.4061317Z quantized_decomposed_dequantize_per_tensor_default_2247: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1659, 0.00039120655856095254, 31509, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1659 = None 2025-03-21T20:31:49.4061414Z 2025-03-21T20:31:49.4061921Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.4062786Z aten_view_copy_default_185: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_152, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_152 = None 2025-03-21T20:31:49.4063829Z quantized_decomposed_quantize_per_tensor_default_1660: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_185, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_185 = None 2025-03-21T20:31:49.4063925Z 2025-03-21T20:31:49.4064468Z # 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 2025-03-21T20:31:49.4065532Z quantized_decomposed_dequantize_per_tensor_default_2248: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.4065643Z 2025-03-21T20:31:49.4066174Z # 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 2025-03-21T20:31:49.4067469Z quantized_decomposed_dequantize_per_tensor_default_2249: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.4067585Z 2025-03-21T20:31:49.4068111Z # 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 2025-03-21T20:31:49.4069224Z quantized_decomposed_dequantize_per_tensor_default_2250: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.4069321Z 2025-03-21T20:31:49.4069866Z # 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 2025-03-21T20:31:49.4071239Z quantized_decomposed_dequantize_per_tensor_default_2251: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1660, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1660 = None 2025-03-21T20:31:49.4071354Z 2025-03-21T20:31:49.4071847Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.4072721Z aten_view_copy_default_186: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_164, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_164 = None 2025-03-21T20:31:49.4073831Z quantized_decomposed_quantize_per_tensor_default_1661: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_186, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_186 = None 2025-03-21T20:31:49.4073947Z 2025-03-21T20:31:49.4074482Z # 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 2025-03-21T20:31:49.4075548Z quantized_decomposed_dequantize_per_tensor_default_2252: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.4075644Z 2025-03-21T20:31:49.4076185Z # 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 2025-03-21T20:31:49.4077227Z quantized_decomposed_dequantize_per_tensor_default_2253: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.4077321Z 2025-03-21T20:31:49.4077863Z # 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 2025-03-21T20:31:49.4078943Z quantized_decomposed_dequantize_per_tensor_default_2254: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.4079055Z 2025-03-21T20:31:49.4079583Z # 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 2025-03-21T20:31:49.4080901Z quantized_decomposed_dequantize_per_tensor_default_2255: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1661, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1661 = None 2025-03-21T20:31:49.4080999Z 2025-03-21T20:31:49.4081538Z # 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 2025-03-21T20:31:49.4082865Z aten_mul_tensor_152: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2239, quantized_decomposed_dequantize_per_tensor_default_2251); quantized_decomposed_dequantize_per_tensor_default_2239 = quantized_decomposed_dequantize_per_tensor_default_2251 = None 2025-03-21T20:31:49.4083882Z quantized_decomposed_quantize_per_tensor_default_1662: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_152, 0.0003691529855132103, 36256, 0, 65535, torch.int32); aten_mul_tensor_152 = None 2025-03-21T20:31:49.4085219Z quantized_decomposed_dequantize_per_tensor_default_2256: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1662, 0.0003691529855132103, 36256, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1662 = None 2025-03-21T20:31:49.4086520Z aten_mul_tensor_153: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2240, quantized_decomposed_dequantize_per_tensor_default_2254); quantized_decomposed_dequantize_per_tensor_default_2240 = quantized_decomposed_dequantize_per_tensor_default_2254 = None 2025-03-21T20:31:49.4087502Z quantized_decomposed_quantize_per_tensor_default_1663: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_153, 0.00017168192425742745, 31044, 0, 65535, torch.int32); aten_mul_tensor_153 = None 2025-03-21T20:31:49.4088832Z quantized_decomposed_dequantize_per_tensor_default_2257: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1663, 0.00017168192425742745, 31044, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1663 = None 2025-03-21T20:31:49.4090138Z aten_sub_tensor_20: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2256, quantized_decomposed_dequantize_per_tensor_default_2257); quantized_decomposed_dequantize_per_tensor_default_2256 = quantized_decomposed_dequantize_per_tensor_default_2257 = None 2025-03-21T20:31:49.4091122Z quantized_decomposed_quantize_per_tensor_default_1664: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_20, 0.00036686332896351814, 36433, 0, 65535, torch.int32); aten_sub_tensor_20 = None 2025-03-21T20:31:49.4091234Z 2025-03-21T20:31:49.4092338Z # File: .50:5779 in forward, code: dequantize_per_tensor_default_1823 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1823, 0.00036686332896351814, 36433, 0, 65535, torch.int32); quantize_per_tensor_default_1823 = None 2025-03-21T20:31:49.4093676Z quantized_decomposed_dequantize_per_tensor_default_2258: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1664, 0.00036686332896351814, 36433, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1664 = None 2025-03-21T20:31:49.4093775Z 2025-03-21T20:31:49.4094324Z # 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 2025-03-21T20:31:49.4095608Z aten_mul_tensor_154: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2238, quantized_decomposed_dequantize_per_tensor_default_2255); quantized_decomposed_dequantize_per_tensor_default_2238 = quantized_decomposed_dequantize_per_tensor_default_2255 = None 2025-03-21T20:31:49.4096631Z quantized_decomposed_quantize_per_tensor_default_1665: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_154, 0.00014334538718685508, 33099, 0, 65535, torch.int32); aten_mul_tensor_154 = None 2025-03-21T20:31:49.4097943Z quantized_decomposed_dequantize_per_tensor_default_2259: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1665, 0.00014334538718685508, 33099, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1665 = None 2025-03-21T20:31:49.4099294Z aten_mul_tensor_155: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2241, quantized_decomposed_dequantize_per_tensor_default_2250); quantized_decomposed_dequantize_per_tensor_default_2241 = quantized_decomposed_dequantize_per_tensor_default_2250 = None 2025-03-21T20:31:49.4100272Z quantized_decomposed_quantize_per_tensor_default_1666: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_155, 0.00034285150468349457, 28223, 0, 65535, torch.int32); aten_mul_tensor_155 = None 2025-03-21T20:31:49.4101590Z quantized_decomposed_dequantize_per_tensor_default_2260: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1666, 0.00034285150468349457, 28223, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1666 = None 2025-03-21T20:31:49.4102883Z aten_add_tensor_50: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2259, quantized_decomposed_dequantize_per_tensor_default_2260); quantized_decomposed_dequantize_per_tensor_default_2259 = quantized_decomposed_dequantize_per_tensor_default_2260 = None 2025-03-21T20:31:49.4103855Z quantized_decomposed_quantize_per_tensor_default_1667: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_50, 0.0003369115001987666, 28096, 0, 65535, torch.int32); aten_add_tensor_50 = None 2025-03-21T20:31:49.4103952Z 2025-03-21T20:31:49.4105030Z # File: .50:5788 in forward, code: dequantize_per_tensor_default_1826 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1826, 0.0003369115001987666, 28096, 0, 65535, torch.int32); quantize_per_tensor_default_1826 = None 2025-03-21T20:31:49.4106358Z quantized_decomposed_dequantize_per_tensor_default_2261: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1667, 0.0003369115001987666, 28096, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1667 = None 2025-03-21T20:31:49.4106470Z 2025-03-21T20:31:49.4107001Z # 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 2025-03-21T20:31:49.4108304Z aten_mul_tensor_156: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2245, quantized_decomposed_dequantize_per_tensor_default_2249); quantized_decomposed_dequantize_per_tensor_default_2245 = quantized_decomposed_dequantize_per_tensor_default_2249 = None 2025-03-21T20:31:49.4109282Z quantized_decomposed_quantize_per_tensor_default_1668: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_156, 0.0003857550327666104, 28901, 0, 65535, torch.int32); aten_mul_tensor_156 = None 2025-03-21T20:31:49.4110738Z quantized_decomposed_dequantize_per_tensor_default_2262: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1668, 0.0003857550327666104, 28901, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1668 = None 2025-03-21T20:31:49.4112059Z aten_mul_tensor_157: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2246, quantized_decomposed_dequantize_per_tensor_default_2252); quantized_decomposed_dequantize_per_tensor_default_2246 = quantized_decomposed_dequantize_per_tensor_default_2252 = None 2025-03-21T20:31:49.4113186Z quantized_decomposed_quantize_per_tensor_default_1669: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_157, 0.00017581522115506232, 32153, 0, 65535, torch.int32); aten_mul_tensor_157 = None 2025-03-21T20:31:49.4114517Z quantized_decomposed_dequantize_per_tensor_default_2263: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1669, 0.00017581522115506232, 32153, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1669 = None 2025-03-21T20:31:49.4115794Z aten_sub_tensor_21: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2262, quantized_decomposed_dequantize_per_tensor_default_2263); quantized_decomposed_dequantize_per_tensor_default_2262 = quantized_decomposed_dequantize_per_tensor_default_2263 = None 2025-03-21T20:31:49.4116779Z quantized_decomposed_quantize_per_tensor_default_1670: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_21, 0.00037492933915928006, 29584, 0, 65535, torch.int32); aten_sub_tensor_21 = None 2025-03-21T20:31:49.4116878Z 2025-03-21T20:31:49.4117954Z # File: .50:5797 in forward, code: dequantize_per_tensor_default_1829 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1829, 0.00037492933915928006, 29584, 0, 65535, torch.int32); quantize_per_tensor_default_1829 = None 2025-03-21T20:31:49.4119264Z quantized_decomposed_dequantize_per_tensor_default_2264: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1670, 0.00037492933915928006, 29584, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1670 = None 2025-03-21T20:31:49.4119377Z 2025-03-21T20:31:49.4119911Z # 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 2025-03-21T20:31:49.4121250Z aten_mul_tensor_158: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2244, quantized_decomposed_dequantize_per_tensor_default_2253); quantized_decomposed_dequantize_per_tensor_default_2244 = quantized_decomposed_dequantize_per_tensor_default_2253 = None 2025-03-21T20:31:49.4122234Z quantized_decomposed_quantize_per_tensor_default_1671: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_158, 0.00016251628403551877, 33632, 0, 65535, torch.int32); aten_mul_tensor_158 = None 2025-03-21T20:31:49.4123557Z quantized_decomposed_dequantize_per_tensor_default_2265: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1671, 0.00016251628403551877, 33632, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1671 = None 2025-03-21T20:31:49.4124872Z aten_mul_tensor_159: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2247, quantized_decomposed_dequantize_per_tensor_default_2248); quantized_decomposed_dequantize_per_tensor_default_2247 = quantized_decomposed_dequantize_per_tensor_default_2248 = None 2025-03-21T20:31:49.4125935Z quantized_decomposed_quantize_per_tensor_default_1672: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_159, 0.0003872132219839841, 31182, 0, 65535, torch.int32); aten_mul_tensor_159 = None 2025-03-21T20:31:49.4127266Z quantized_decomposed_dequantize_per_tensor_default_2266: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1672, 0.0003872132219839841, 31182, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1672 = None 2025-03-21T20:31:49.4128570Z aten_add_tensor_51: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2265, quantized_decomposed_dequantize_per_tensor_default_2266); quantized_decomposed_dequantize_per_tensor_default_2265 = quantized_decomposed_dequantize_per_tensor_default_2266 = None 2025-03-21T20:31:49.4129547Z quantized_decomposed_quantize_per_tensor_default_1673: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_51, 0.0003922595642507076, 31433, 0, 65535, torch.int32); aten_add_tensor_51 = None 2025-03-21T20:31:49.4129642Z 2025-03-21T20:31:49.4130706Z # File: .50:5806 in forward, code: dequantize_per_tensor_default_1832 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1832, 0.0003922595642507076, 31433, 0, 65535, torch.int32); quantize_per_tensor_default_1832 = None 2025-03-21T20:31:49.4132019Z quantized_decomposed_dequantize_per_tensor_default_2267: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1673, 0.0003922595642507076, 31433, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1673 = None 2025-03-21T20:31:49.4132117Z 2025-03-21T20:31:49.4132714Z # 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) 2025-03-21T20:31:49.4133631Z aten_unsqueeze_copy_default_113: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2258, 4); quantized_decomposed_dequantize_per_tensor_default_2258 = None 2025-03-21T20:31:49.4134576Z aten_unsqueeze_copy_default_114: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2261, 4); quantized_decomposed_dequantize_per_tensor_default_2261 = None 2025-03-21T20:31:49.4135425Z 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 2025-03-21T20:31:49.4136429Z quantized_decomposed_quantize_per_tensor_default_1674: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_40, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_cat_default_40 = None 2025-03-21T20:31:49.4137891Z quantized_decomposed_dequantize_per_tensor_default_2268: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1674, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1674 = None 2025-03-21T20:31:49.4138790Z aten_view_copy_default_187: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2268, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2268 = None 2025-03-21T20:31:49.4139870Z quantized_decomposed_quantize_per_tensor_default_1675: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_187, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_view_copy_default_187 = None 2025-03-21T20:31:49.4139966Z 2025-03-21T20:31:49.4141079Z # File: .50:5812 in forward, code: dequantize_per_tensor_default_1834 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1834, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantize_per_tensor_default_1834 = None 2025-03-21T20:31:49.4142393Z quantized_decomposed_dequantize_per_tensor_default_2269: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1675, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1675 = None 2025-03-21T20:31:49.4142505Z 2025-03-21T20:31:49.4143095Z # 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) 2025-03-21T20:31:49.4144030Z aten_unsqueeze_copy_default_115: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2264, 4); quantized_decomposed_dequantize_per_tensor_default_2264 = None 2025-03-21T20:31:49.4144946Z aten_unsqueeze_copy_default_116: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2267, 4); quantized_decomposed_dequantize_per_tensor_default_2267 = None 2025-03-21T20:31:49.4145810Z 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 2025-03-21T20:31:49.4146798Z quantized_decomposed_quantize_per_tensor_default_1676: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_41, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_cat_default_41 = None 2025-03-21T20:31:49.4148145Z quantized_decomposed_dequantize_per_tensor_default_2270: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1676, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1676 = None 2025-03-21T20:31:49.4149018Z aten_view_copy_default_188: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2270, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2270 = None 2025-03-21T20:31:49.4150076Z quantized_decomposed_quantize_per_tensor_default_1677: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_188, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_view_copy_default_188 = None 2025-03-21T20:31:49.4150175Z 2025-03-21T20:31:49.4151287Z # File: .50:5818 in forward, code: dequantize_per_tensor_default_1836 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1836, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1836 = None 2025-03-21T20:31:49.4152605Z quantized_decomposed_dequantize_per_tensor_default_2271: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1677, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1677 = None 2025-03-21T20:31:49.4152743Z 2025-03-21T20:31:49.4153707Z # File: .50:5820 in forward, code: quantize_per_tensor_default_1837 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_20, 0.00039642397314310074, 33716, 0, 65535, torch.int32); type_as_20 = None 2025-03-21T20:31:49.4155030Z quantized_decomposed_quantize_per_tensor_default_1678: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2269, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2269 = None 2025-03-21T20:31:49.4155128Z 2025-03-21T20:31:49.4155734Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.4157052Z quantized_decomposed_dequantize_per_tensor_default_2272: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1678, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1678 = None 2025-03-21T20:31:49.4157165Z 2025-03-21T20:31:49.4158021Z # File: .50:5823 in forward, code: quantize_per_tensor_default_1838 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_21, 0.00039381824899464846, 31308, 0, 65535, torch.int32); type_as_21 = None 2025-03-21T20:31:49.4159361Z quantized_decomposed_quantize_per_tensor_default_1679: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2271, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2271 = None 2025-03-21T20:31:49.4159460Z 2025-03-21T20:31:49.4160225Z # 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) 2025-03-21T20:31:49.4161571Z quantized_decomposed_dequantize_per_tensor_default_2273: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1679, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1679 = None 2025-03-21T20:31:49.4161683Z 2025-03-21T20:31:49.4162267Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.4163183Z aten_permute_copy_default_416: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2272, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2272 = None 2025-03-21T20:31:49.4164260Z quantized_decomposed_quantize_per_tensor_default_1680: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_416, 0.00039642397314310074, 33716, 0, 65535, torch.int32); aten_permute_copy_default_416 = None 2025-03-21T20:31:49.4164407Z 2025-03-21T20:31:49.4165056Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.4166377Z quantized_decomposed_dequantize_per_tensor_default_2274: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1680, 0.00039642397314310074, 33716, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1680 = None 2025-03-21T20:31:49.4166514Z 2025-03-21T20:31:49.4167471Z # 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) 2025-03-21T20:31:49.4169023Z aten_index_put_default_20: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_143, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2273); quantized_decomposed_dequantize_per_tensor_default_143 = quantized_decomposed_dequantize_per_tensor_default_2273 = None 2025-03-21T20:31:49.4170084Z quantized_decomposed_quantize_per_tensor_default_1681: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_20, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_index_put_default_20 = None 2025-03-21T20:31:49.4170183Z 2025-03-21T20:31:49.4171080Z # File: .50:5830 in forward, code: dequantize_per_tensor_default_1840 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1840, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4172155Z quantized_decomposed_dequantize_per_tensor_default_2275: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4172256Z 2025-03-21T20:31:49.4172989Z # 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) 2025-03-21T20:31:49.4174045Z quantized_decomposed_dequantize_per_tensor_default_2276: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4175114Z quantized_decomposed_dequantize_per_tensor_default_2277: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4176207Z quantized_decomposed_dequantize_per_tensor_default_2278: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4177273Z quantized_decomposed_dequantize_per_tensor_default_2279: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4178337Z quantized_decomposed_dequantize_per_tensor_default_2280: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4179428Z quantized_decomposed_dequantize_per_tensor_default_2281: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4180494Z quantized_decomposed_dequantize_per_tensor_default_2282: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4181610Z quantized_decomposed_dequantize_per_tensor_default_2283: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4182672Z quantized_decomposed_dequantize_per_tensor_default_2284: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4183731Z quantized_decomposed_dequantize_per_tensor_default_2285: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4184797Z quantized_decomposed_dequantize_per_tensor_default_2286: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32) 2025-03-21T20:31:49.4186129Z quantized_decomposed_dequantize_per_tensor_default_2287: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1681, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1681 = None 2025-03-21T20:31:49.4186248Z 2025-03-21T20:31:49.4186998Z # 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) 2025-03-21T20:31:49.4188492Z aten_index_put_default_21: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_144, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2235); quantized_decomposed_dequantize_per_tensor_default_144 = quantized_decomposed_dequantize_per_tensor_default_2235 = None 2025-03-21T20:31:49.4189562Z quantized_decomposed_quantize_per_tensor_default_1682: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_21, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_index_put_default_21 = None 2025-03-21T20:31:49.4189676Z 2025-03-21T20:31:49.4190566Z # File: .50:5845 in forward, code: dequantize_per_tensor_default_1841 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1841, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4191646Z quantized_decomposed_dequantize_per_tensor_default_2288: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4191746Z 2025-03-21T20:31:49.4192477Z # 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) 2025-03-21T20:31:49.4193646Z quantized_decomposed_dequantize_per_tensor_default_2289: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4194700Z quantized_decomposed_dequantize_per_tensor_default_2290: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4195814Z quantized_decomposed_dequantize_per_tensor_default_2291: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4196890Z quantized_decomposed_dequantize_per_tensor_default_2292: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4197939Z quantized_decomposed_dequantize_per_tensor_default_2293: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4199017Z quantized_decomposed_dequantize_per_tensor_default_2294: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4200073Z quantized_decomposed_dequantize_per_tensor_default_2295: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4201129Z quantized_decomposed_dequantize_per_tensor_default_2296: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4202194Z quantized_decomposed_dequantize_per_tensor_default_2297: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4203273Z quantized_decomposed_dequantize_per_tensor_default_2298: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4204339Z quantized_decomposed_dequantize_per_tensor_default_2299: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32) 2025-03-21T20:31:49.4205664Z quantized_decomposed_dequantize_per_tensor_default_2300: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1682, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1682 = None 2025-03-21T20:31:49.4205778Z 2025-03-21T20:31:49.4206491Z # 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) 2025-03-21T20:31:49.4207492Z aten_permute_copy_default_417: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2287, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2287 = None 2025-03-21T20:31:49.4208576Z quantized_decomposed_quantize_per_tensor_default_1683: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_417, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_417 = None 2025-03-21T20:31:49.4209959Z quantized_decomposed_dequantize_per_tensor_default_2301: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1683, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1683 = None 2025-03-21T20:31:49.4210804Z aten_select_copy_int_480: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2301, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2301 = None 2025-03-21T20:31:49.4211839Z quantized_decomposed_quantize_per_tensor_default_1684: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_480, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_480 = None 2025-03-21T20:31:49.4213160Z quantized_decomposed_dequantize_per_tensor_default_2302: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1684, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1684 = None 2025-03-21T20:31:49.4214013Z aten_select_copy_int_481: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2302, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2302 = None 2025-03-21T20:31:49.4215035Z quantized_decomposed_quantize_per_tensor_default_1685: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_481, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_481 = None 2025-03-21T20:31:49.4215149Z 2025-03-21T20:31:49.4216220Z # File: .50:5866 in forward, code: dequantize_per_tensor_default_1844 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1844, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1844 = None 2025-03-21T20:31:49.4217575Z quantized_decomposed_dequantize_per_tensor_default_2303: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1685, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1685 = None 2025-03-21T20:31:49.4217674Z 2025-03-21T20:31:49.4218409Z # 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) 2025-03-21T20:31:49.4219326Z aten_permute_copy_default_418: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2286, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2286 = None 2025-03-21T20:31:49.4220414Z quantized_decomposed_quantize_per_tensor_default_1686: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_418, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_418 = None 2025-03-21T20:31:49.4221745Z quantized_decomposed_dequantize_per_tensor_default_2304: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1686, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1686 = None 2025-03-21T20:31:49.4222625Z aten_select_copy_int_482: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2304, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2304 = None 2025-03-21T20:31:49.4223682Z quantized_decomposed_quantize_per_tensor_default_1687: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_482, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_482 = None 2025-03-21T20:31:49.4225021Z quantized_decomposed_dequantize_per_tensor_default_2305: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1687, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1687 = None 2025-03-21T20:31:49.4225866Z aten_select_copy_int_483: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2305, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2305 = None 2025-03-21T20:31:49.4226890Z quantized_decomposed_quantize_per_tensor_default_1688: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_483, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_483 = None 2025-03-21T20:31:49.4227004Z 2025-03-21T20:31:49.4228069Z # File: .50:5875 in forward, code: dequantize_per_tensor_default_1847 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1847, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1847 = None 2025-03-21T20:31:49.4229409Z quantized_decomposed_dequantize_per_tensor_default_2306: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1688, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1688 = None 2025-03-21T20:31:49.4229509Z 2025-03-21T20:31:49.4230227Z # 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) 2025-03-21T20:31:49.4231187Z aten_permute_copy_default_419: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2285, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2285 = None 2025-03-21T20:31:49.4232273Z quantized_decomposed_quantize_per_tensor_default_1689: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_419, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_419 = None 2025-03-21T20:31:49.4233691Z quantized_decomposed_dequantize_per_tensor_default_2307: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1689, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1689 = None 2025-03-21T20:31:49.4234583Z aten_select_copy_int_484: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2307, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2307 = None 2025-03-21T20:31:49.4235609Z quantized_decomposed_quantize_per_tensor_default_1690: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_484, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_484 = None 2025-03-21T20:31:49.4236990Z quantized_decomposed_dequantize_per_tensor_default_2308: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1690, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1690 = None 2025-03-21T20:31:49.4237828Z aten_select_copy_int_485: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2308, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2308 = None 2025-03-21T20:31:49.4238862Z quantized_decomposed_quantize_per_tensor_default_1691: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_485, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_485 = None 2025-03-21T20:31:49.4238961Z 2025-03-21T20:31:49.4240036Z # File: .50:5884 in forward, code: dequantize_per_tensor_default_1850 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1850, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1850 = None 2025-03-21T20:31:49.4241357Z quantized_decomposed_dequantize_per_tensor_default_2309: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1691, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1691 = None 2025-03-21T20:31:49.4241472Z 2025-03-21T20:31:49.4242187Z # 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) 2025-03-21T20:31:49.4243113Z aten_permute_copy_default_420: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2284, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2284 = None 2025-03-21T20:31:49.4244194Z quantized_decomposed_quantize_per_tensor_default_1692: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_420, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_420 = None 2025-03-21T20:31:49.4245560Z quantized_decomposed_dequantize_per_tensor_default_2310: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1692, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1692 = None 2025-03-21T20:31:49.4246406Z aten_select_copy_int_486: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2310, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2310 = None 2025-03-21T20:31:49.4247448Z quantized_decomposed_quantize_per_tensor_default_1693: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_486, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_486 = None 2025-03-21T20:31:49.4248809Z quantized_decomposed_dequantize_per_tensor_default_2311: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1693, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1693 = None 2025-03-21T20:31:49.4249660Z aten_select_copy_int_487: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2311, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2311 = None 2025-03-21T20:31:49.4250731Z quantized_decomposed_quantize_per_tensor_default_1694: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_487, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_487 = None 2025-03-21T20:31:49.4250847Z 2025-03-21T20:31:49.4251901Z # File: .50:5893 in forward, code: dequantize_per_tensor_default_1853 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1853, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1853 = None 2025-03-21T20:31:49.4253229Z quantized_decomposed_dequantize_per_tensor_default_2312: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1694, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1694 = None 2025-03-21T20:31:49.4253328Z 2025-03-21T20:31:49.4254055Z # 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) 2025-03-21T20:31:49.4254969Z aten_permute_copy_default_421: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2283, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2283 = None 2025-03-21T20:31:49.4256065Z quantized_decomposed_quantize_per_tensor_default_1695: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_421, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_421 = None 2025-03-21T20:31:49.4257383Z quantized_decomposed_dequantize_per_tensor_default_2313: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1695, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1695 = None 2025-03-21T20:31:49.4258265Z aten_select_copy_int_488: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2313, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2313 = None 2025-03-21T20:31:49.4259301Z quantized_decomposed_quantize_per_tensor_default_1696: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_488, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_488 = None 2025-03-21T20:31:49.4260621Z quantized_decomposed_dequantize_per_tensor_default_2314: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1696, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1696 = None 2025-03-21T20:31:49.4261469Z aten_select_copy_int_489: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2314, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2314 = None 2025-03-21T20:31:49.4262520Z quantized_decomposed_quantize_per_tensor_default_1697: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_489, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_489 = None 2025-03-21T20:31:49.4262632Z 2025-03-21T20:31:49.4263717Z # File: .50:5902 in forward, code: dequantize_per_tensor_default_1856 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1856, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1856 = None 2025-03-21T20:31:49.4265070Z quantized_decomposed_dequantize_per_tensor_default_2315: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1697, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1697 = None 2025-03-21T20:31:49.4265169Z 2025-03-21T20:31:49.4265901Z # 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) 2025-03-21T20:31:49.4266997Z aten_permute_copy_default_422: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2282, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2282 = None 2025-03-21T20:31:49.4268091Z quantized_decomposed_quantize_per_tensor_default_1698: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_422, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_422 = None 2025-03-21T20:31:49.4269413Z quantized_decomposed_dequantize_per_tensor_default_2316: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1698, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1698 = None 2025-03-21T20:31:49.4270273Z aten_select_copy_int_490: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2316, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2316 = None 2025-03-21T20:31:49.4271297Z quantized_decomposed_quantize_per_tensor_default_1699: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_490, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_490 = None 2025-03-21T20:31:49.4272685Z quantized_decomposed_dequantize_per_tensor_default_2317: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1699, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1699 = None 2025-03-21T20:31:49.4273602Z aten_select_copy_int_491: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2317, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2317 = None 2025-03-21T20:31:49.4274638Z quantized_decomposed_quantize_per_tensor_default_1700: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_491, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_491 = None 2025-03-21T20:31:49.4274737Z 2025-03-21T20:31:49.4275816Z # File: .50:5911 in forward, code: dequantize_per_tensor_default_1859 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1859, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1859 = None 2025-03-21T20:31:49.4277221Z quantized_decomposed_dequantize_per_tensor_default_2318: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1700, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1700 = None 2025-03-21T20:31:49.4277368Z 2025-03-21T20:31:49.4278087Z # 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) 2025-03-21T20:31:49.4279063Z aten_permute_copy_default_423: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2281, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2281 = None 2025-03-21T20:31:49.4280143Z quantized_decomposed_quantize_per_tensor_default_1701: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_423, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_423 = None 2025-03-21T20:31:49.4281478Z quantized_decomposed_dequantize_per_tensor_default_2319: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1701, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1701 = None 2025-03-21T20:31:49.4282315Z aten_select_copy_int_492: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2319, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2319 = None 2025-03-21T20:31:49.4283349Z quantized_decomposed_quantize_per_tensor_default_1702: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_492, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_492 = None 2025-03-21T20:31:49.4284663Z quantized_decomposed_dequantize_per_tensor_default_2320: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1702, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1702 = None 2025-03-21T20:31:49.4285518Z aten_select_copy_int_493: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2320, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2320 = None 2025-03-21T20:31:49.4286574Z quantized_decomposed_quantize_per_tensor_default_1703: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_493, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_493 = None 2025-03-21T20:31:49.4286672Z 2025-03-21T20:31:49.4287736Z # File: .50:5920 in forward, code: dequantize_per_tensor_default_1862 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1862, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1862 = None 2025-03-21T20:31:49.4289072Z quantized_decomposed_dequantize_per_tensor_default_2321: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1703, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1703 = None 2025-03-21T20:31:49.4289206Z 2025-03-21T20:31:49.4289929Z # 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) 2025-03-21T20:31:49.4290834Z aten_permute_copy_default_424: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2280, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2280 = None 2025-03-21T20:31:49.4291982Z quantized_decomposed_quantize_per_tensor_default_1704: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_424, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_424 = None 2025-03-21T20:31:49.4293318Z quantized_decomposed_dequantize_per_tensor_default_2322: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1704, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1704 = None 2025-03-21T20:31:49.4294162Z aten_select_copy_int_494: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2322, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2322 = None 2025-03-21T20:31:49.4295203Z quantized_decomposed_quantize_per_tensor_default_1705: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_494, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_494 = None 2025-03-21T20:31:49.4296513Z quantized_decomposed_dequantize_per_tensor_default_2323: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1705, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1705 = None 2025-03-21T20:31:49.4297367Z aten_select_copy_int_495: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2323, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2323 = None 2025-03-21T20:31:49.4298392Z quantized_decomposed_quantize_per_tensor_default_1706: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_495, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_495 = None 2025-03-21T20:31:49.4298505Z 2025-03-21T20:31:49.4299576Z # File: .50:5929 in forward, code: dequantize_per_tensor_default_1865 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1865, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1865 = None 2025-03-21T20:31:49.4300942Z quantized_decomposed_dequantize_per_tensor_default_2324: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1706, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1706 = None 2025-03-21T20:31:49.4301044Z 2025-03-21T20:31:49.4301776Z # 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) 2025-03-21T20:31:49.4302691Z aten_permute_copy_default_425: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2279, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2279 = None 2025-03-21T20:31:49.4303811Z quantized_decomposed_quantize_per_tensor_default_1707: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_425, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_425 = None 2025-03-21T20:31:49.4305133Z quantized_decomposed_dequantize_per_tensor_default_2325: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1707, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1707 = None 2025-03-21T20:31:49.4306038Z aten_select_copy_int_496: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2325, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2325 = None 2025-03-21T20:31:49.4307066Z quantized_decomposed_quantize_per_tensor_default_1708: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_496, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_496 = None 2025-03-21T20:31:49.4308384Z quantized_decomposed_dequantize_per_tensor_default_2326: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1708, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1708 = None 2025-03-21T20:31:49.4309227Z aten_select_copy_int_497: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2326, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2326 = None 2025-03-21T20:31:49.4310272Z quantized_decomposed_quantize_per_tensor_default_1709: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_497, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_497 = None 2025-03-21T20:31:49.4310368Z 2025-03-21T20:31:49.4311450Z # File: .50:5938 in forward, code: dequantize_per_tensor_default_1868 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1868, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1868 = None 2025-03-21T20:31:49.4312878Z quantized_decomposed_dequantize_per_tensor_default_2327: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1709, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1709 = None 2025-03-21T20:31:49.4312995Z 2025-03-21T20:31:49.4313742Z # 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) 2025-03-21T20:31:49.4314668Z aten_permute_copy_default_426: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2278, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2278 = None 2025-03-21T20:31:49.4315749Z quantized_decomposed_quantize_per_tensor_default_1710: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_426, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_426 = None 2025-03-21T20:31:49.4317095Z quantized_decomposed_dequantize_per_tensor_default_2328: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1710, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1710 = None 2025-03-21T20:31:49.4317968Z aten_select_copy_int_498: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2328, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2328 = None 2025-03-21T20:31:49.4319040Z quantized_decomposed_quantize_per_tensor_default_1711: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_498, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_498 = None 2025-03-21T20:31:49.4320404Z quantized_decomposed_dequantize_per_tensor_default_2329: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1711, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1711 = None 2025-03-21T20:31:49.4321245Z aten_select_copy_int_499: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2329, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2329 = None 2025-03-21T20:31:49.4322281Z quantized_decomposed_quantize_per_tensor_default_1712: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_499, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_499 = None 2025-03-21T20:31:49.4322380Z 2025-03-21T20:31:49.4323458Z # File: .50:5947 in forward, code: dequantize_per_tensor_default_1871 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1871, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1871 = None 2025-03-21T20:31:49.4324785Z quantized_decomposed_dequantize_per_tensor_default_2330: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1712, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1712 = None 2025-03-21T20:31:49.4324896Z 2025-03-21T20:31:49.4325608Z # 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) 2025-03-21T20:31:49.4326539Z aten_permute_copy_default_427: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2277, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2277 = None 2025-03-21T20:31:49.4327642Z quantized_decomposed_quantize_per_tensor_default_1713: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_427, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_427 = None 2025-03-21T20:31:49.4328977Z quantized_decomposed_dequantize_per_tensor_default_2331: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1713, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1713 = None 2025-03-21T20:31:49.4329821Z aten_select_copy_int_500: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2331, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2331 = None 2025-03-21T20:31:49.4330856Z quantized_decomposed_quantize_per_tensor_default_1714: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_500, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_500 = None 2025-03-21T20:31:49.4332203Z quantized_decomposed_dequantize_per_tensor_default_2332: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1714, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1714 = None 2025-03-21T20:31:49.4333078Z aten_select_copy_int_501: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2332, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2332 = None 2025-03-21T20:31:49.4334120Z quantized_decomposed_quantize_per_tensor_default_1715: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_501, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_501 = None 2025-03-21T20:31:49.4334230Z 2025-03-21T20:31:49.4335293Z # File: .50:5956 in forward, code: dequantize_per_tensor_default_1874 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1874, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1874 = None 2025-03-21T20:31:49.4336617Z quantized_decomposed_dequantize_per_tensor_default_2333: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1715, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1715 = None 2025-03-21T20:31:49.4336714Z 2025-03-21T20:31:49.4337443Z # 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) 2025-03-21T20:31:49.4338356Z aten_permute_copy_default_428: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2276, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2276 = None 2025-03-21T20:31:49.4339447Z quantized_decomposed_quantize_per_tensor_default_1716: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_428, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_428 = None 2025-03-21T20:31:49.4340765Z quantized_decomposed_dequantize_per_tensor_default_2334: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1716, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1716 = None 2025-03-21T20:31:49.4341644Z aten_select_copy_int_502: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2334, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2334 = None 2025-03-21T20:31:49.4342661Z quantized_decomposed_quantize_per_tensor_default_1717: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_502, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_502 = None 2025-03-21T20:31:49.4343992Z quantized_decomposed_dequantize_per_tensor_default_2335: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1717, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1717 = None 2025-03-21T20:31:49.4344861Z aten_select_copy_int_503: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2335, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2335 = None 2025-03-21T20:31:49.4345894Z quantized_decomposed_quantize_per_tensor_default_1718: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_503, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_select_copy_int_503 = None 2025-03-21T20:31:49.4346021Z 2025-03-21T20:31:49.4347127Z # File: .50:5965 in forward, code: dequantize_per_tensor_default_1877 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1877, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1877 = None 2025-03-21T20:31:49.4348474Z quantized_decomposed_dequantize_per_tensor_default_2336: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1718, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1718 = None 2025-03-21T20:31:49.4348569Z 2025-03-21T20:31:49.4349285Z # 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) 2025-03-21T20:31:49.4355686Z aten_cat_default_42: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2303, quantized_decomposed_dequantize_per_tensor_default_2306, quantized_decomposed_dequantize_per_tensor_default_2309, quantized_decomposed_dequantize_per_tensor_default_2312, quantized_decomposed_dequantize_per_tensor_default_2315, quantized_decomposed_dequantize_per_tensor_default_2318, quantized_decomposed_dequantize_per_tensor_default_2321, quantized_decomposed_dequantize_per_tensor_default_2324, quantized_decomposed_dequantize_per_tensor_default_2327, quantized_decomposed_dequantize_per_tensor_default_2330, quantized_decomposed_dequantize_per_tensor_default_2333, quantized_decomposed_dequantize_per_tensor_default_2336]); quantized_decomposed_dequantize_per_tensor_default_2303 = quantized_decomposed_dequantize_per_tensor_default_2306 = quantized_decomposed_dequantize_per_tensor_default_2309 = quantized_decomposed_dequantize_per_tensor_default_2312 = quantized_decomposed_dequantize_per_tensor_default_2315 = quantized_decomposed_dequantize_per_tensor_default_2318 = quantized_decomposed_dequantize_per_tensor_default_2321 = quantized_decomposed_dequantize_per_tensor_default_2324 = quantized_decomposed_dequantize_per_tensor_default_2327 = quantized_decomposed_dequantize_per_tensor_default_2330 = quantized_decomposed_dequantize_per_tensor_default_2333 = quantized_decomposed_dequantize_per_tensor_default_2336 = None 2025-03-21T20:31:49.4356730Z quantized_decomposed_quantize_per_tensor_default_1719: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_42, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_cat_default_42 = None 2025-03-21T20:31:49.4358056Z quantized_decomposed_dequantize_per_tensor_default_2337: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1719, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1719 = None 2025-03-21T20:31:49.4364632Z aten_view_copy_default_189: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2337, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2337 = None 2025-03-21T20:31:49.4365806Z quantized_decomposed_quantize_per_tensor_default_1720: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_189, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_view_copy_default_189 = None 2025-03-21T20:31:49.4365927Z 2025-03-21T20:31:49.4366837Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.4368306Z quantized_decomposed_dequantize_per_tensor_default_2338: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1720, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1720 = None 2025-03-21T20:31:49.4368409Z 2025-03-21T20:31:49.4369150Z # 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) 2025-03-21T20:31:49.4370071Z aten_permute_copy_default_429: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2300, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2300 = None 2025-03-21T20:31:49.4371165Z quantized_decomposed_quantize_per_tensor_default_1721: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_429, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_429 = None 2025-03-21T20:31:49.4372485Z quantized_decomposed_dequantize_per_tensor_default_2339: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1721, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1721 = None 2025-03-21T20:31:49.4373345Z aten_select_copy_int_504: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2339, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2339 = None 2025-03-21T20:31:49.4374371Z quantized_decomposed_quantize_per_tensor_default_1722: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_504, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_504 = None 2025-03-21T20:31:49.4375699Z quantized_decomposed_dequantize_per_tensor_default_2340: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1722, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1722 = None 2025-03-21T20:31:49.4376570Z aten_select_copy_int_505: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2340, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2340 = None 2025-03-21T20:31:49.4377602Z quantized_decomposed_quantize_per_tensor_default_1723: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_505, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_505 = None 2025-03-21T20:31:49.4377705Z 2025-03-21T20:31:49.4378788Z # File: .50:5980 in forward, code: dequantize_per_tensor_default_1882 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1882, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1882 = None 2025-03-21T20:31:49.4380152Z quantized_decomposed_dequantize_per_tensor_default_2341: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1723, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1723 = None 2025-03-21T20:31:49.4380269Z 2025-03-21T20:31:49.4380992Z # 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) 2025-03-21T20:31:49.4381976Z aten_permute_copy_default_430: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2299, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2299 = None 2025-03-21T20:31:49.4383056Z quantized_decomposed_quantize_per_tensor_default_1724: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_430, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_430 = None 2025-03-21T20:31:49.4384403Z quantized_decomposed_dequantize_per_tensor_default_2342: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1724, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1724 = None 2025-03-21T20:31:49.4385267Z aten_select_copy_int_506: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2342, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2342 = None 2025-03-21T20:31:49.4386287Z quantized_decomposed_quantize_per_tensor_default_1725: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_506, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_506 = None 2025-03-21T20:31:49.4387616Z quantized_decomposed_dequantize_per_tensor_default_2343: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1725, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1725 = None 2025-03-21T20:31:49.4388457Z aten_select_copy_int_507: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2343, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2343 = None 2025-03-21T20:31:49.4389493Z quantized_decomposed_quantize_per_tensor_default_1726: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_507, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_507 = None 2025-03-21T20:31:49.4389617Z 2025-03-21T20:31:49.4390699Z # File: .50:5989 in forward, code: dequantize_per_tensor_default_1885 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1885, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1885 = None 2025-03-21T20:31:49.4392020Z quantized_decomposed_dequantize_per_tensor_default_2344: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1726, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1726 = None 2025-03-21T20:31:49.4392133Z 2025-03-21T20:31:49.4392940Z # 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) 2025-03-21T20:31:49.4393900Z aten_permute_copy_default_431: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2298, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2298 = None 2025-03-21T20:31:49.4394976Z quantized_decomposed_quantize_per_tensor_default_1727: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_431, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_431 = None 2025-03-21T20:31:49.4396379Z quantized_decomposed_dequantize_per_tensor_default_2345: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1727, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1727 = None 2025-03-21T20:31:49.4397220Z aten_select_copy_int_508: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2345, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2345 = None 2025-03-21T20:31:49.4398258Z quantized_decomposed_quantize_per_tensor_default_1728: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_508, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_508 = None 2025-03-21T20:31:49.4399584Z quantized_decomposed_dequantize_per_tensor_default_2346: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1728, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1728 = None 2025-03-21T20:31:49.4400433Z aten_select_copy_int_509: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2346, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2346 = None 2025-03-21T20:31:49.4401449Z quantized_decomposed_quantize_per_tensor_default_1729: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_509, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_509 = None 2025-03-21T20:31:49.4401563Z 2025-03-21T20:31:49.4402621Z # File: .50:5998 in forward, code: dequantize_per_tensor_default_1888 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1888, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1888 = None 2025-03-21T20:31:49.4403985Z quantized_decomposed_dequantize_per_tensor_default_2347: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1729, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1729 = None 2025-03-21T20:31:49.4404088Z 2025-03-21T20:31:49.4404816Z # 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) 2025-03-21T20:31:49.4405737Z aten_permute_copy_default_432: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2297, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2297 = None 2025-03-21T20:31:49.4406836Z quantized_decomposed_quantize_per_tensor_default_1730: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_432, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_432 = None 2025-03-21T20:31:49.4408181Z quantized_decomposed_dequantize_per_tensor_default_2348: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1730, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1730 = None 2025-03-21T20:31:49.4409079Z aten_select_copy_int_510: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2348, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2348 = None 2025-03-21T20:31:49.4410126Z quantized_decomposed_quantize_per_tensor_default_1731: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_510, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_510 = None 2025-03-21T20:31:49.4411457Z quantized_decomposed_dequantize_per_tensor_default_2349: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1731, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1731 = None 2025-03-21T20:31:49.4412312Z aten_select_copy_int_511: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2349, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2349 = None 2025-03-21T20:31:49.4413325Z quantized_decomposed_quantize_per_tensor_default_1732: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_511, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_511 = None 2025-03-21T20:31:49.4413440Z 2025-03-21T20:31:49.4414507Z # File: .50:6007 in forward, code: dequantize_per_tensor_default_1891 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1891, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1891 = None 2025-03-21T20:31:49.4415845Z quantized_decomposed_dequantize_per_tensor_default_2350: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1732, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1732 = None 2025-03-21T20:31:49.4415946Z 2025-03-21T20:31:49.4416666Z # 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) 2025-03-21T20:31:49.4417625Z aten_permute_copy_default_433: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2296, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2296 = None 2025-03-21T20:31:49.4418718Z quantized_decomposed_quantize_per_tensor_default_1733: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_433, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_433 = None 2025-03-21T20:31:49.4420040Z quantized_decomposed_dequantize_per_tensor_default_2351: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1733, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1733 = None 2025-03-21T20:31:49.4420919Z aten_select_copy_int_512: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2351, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2351 = None 2025-03-21T20:31:49.4421949Z quantized_decomposed_quantize_per_tensor_default_1734: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_512, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_512 = None 2025-03-21T20:31:49.4423320Z quantized_decomposed_dequantize_per_tensor_default_2352: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1734, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1734 = None 2025-03-21T20:31:49.4424157Z aten_select_copy_int_513: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2352, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2352 = None 2025-03-21T20:31:49.4425189Z quantized_decomposed_quantize_per_tensor_default_1735: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_513, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_513 = None 2025-03-21T20:31:49.4425286Z 2025-03-21T20:31:49.4426373Z # File: .50:6016 in forward, code: dequantize_per_tensor_default_1894 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1894, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1894 = None 2025-03-21T20:31:49.4427693Z quantized_decomposed_dequantize_per_tensor_default_2353: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1735, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1735 = None 2025-03-21T20:31:49.4427804Z 2025-03-21T20:31:49.4428522Z # 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) 2025-03-21T20:31:49.4429446Z aten_permute_copy_default_434: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2295, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2295 = None 2025-03-21T20:31:49.4430522Z quantized_decomposed_quantize_per_tensor_default_1736: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_434, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_434 = None 2025-03-21T20:31:49.4431881Z quantized_decomposed_dequantize_per_tensor_default_2354: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1736, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1736 = None 2025-03-21T20:31:49.4432722Z aten_select_copy_int_514: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2354, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2354 = None 2025-03-21T20:31:49.4433848Z quantized_decomposed_quantize_per_tensor_default_1737: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_514, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_514 = None 2025-03-21T20:31:49.4435208Z quantized_decomposed_dequantize_per_tensor_default_2355: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1737, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1737 = None 2025-03-21T20:31:49.4436063Z aten_select_copy_int_515: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2355, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2355 = None 2025-03-21T20:31:49.4437131Z quantized_decomposed_quantize_per_tensor_default_1738: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_515, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_515 = None 2025-03-21T20:31:49.4437248Z 2025-03-21T20:31:49.4438316Z # File: .50:6025 in forward, code: dequantize_per_tensor_default_1897 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1897, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1897 = None 2025-03-21T20:31:49.4439658Z quantized_decomposed_dequantize_per_tensor_default_2356: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1738, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1738 = None 2025-03-21T20:31:49.4439758Z 2025-03-21T20:31:49.4440491Z # 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) 2025-03-21T20:31:49.4441412Z aten_permute_copy_default_435: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2294, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2294 = None 2025-03-21T20:31:49.4442502Z quantized_decomposed_quantize_per_tensor_default_1739: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_435, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_435 = None 2025-03-21T20:31:49.4443833Z quantized_decomposed_dequantize_per_tensor_default_2357: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1739, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1739 = None 2025-03-21T20:31:49.4444716Z aten_select_copy_int_516: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2357, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2357 = None 2025-03-21T20:31:49.4445753Z quantized_decomposed_quantize_per_tensor_default_1740: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_516, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_516 = None 2025-03-21T20:31:49.4447069Z quantized_decomposed_dequantize_per_tensor_default_2358: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1740, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1740 = None 2025-03-21T20:31:49.4447917Z aten_select_copy_int_517: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2358, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2358 = None 2025-03-21T20:31:49.4448965Z quantized_decomposed_quantize_per_tensor_default_1741: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_517, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_517 = None 2025-03-21T20:31:49.4449076Z 2025-03-21T20:31:49.4450134Z # File: .50:6034 in forward, code: dequantize_per_tensor_default_1900 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1900, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1900 = None 2025-03-21T20:31:49.4451506Z quantized_decomposed_dequantize_per_tensor_default_2359: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1741, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1741 = None 2025-03-21T20:31:49.4451608Z 2025-03-21T20:31:49.4452339Z # 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) 2025-03-21T20:31:49.4453252Z aten_permute_copy_default_436: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2293, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2293 = None 2025-03-21T20:31:49.4454343Z quantized_decomposed_quantize_per_tensor_default_1742: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_436, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_436 = None 2025-03-21T20:31:49.4455658Z quantized_decomposed_dequantize_per_tensor_default_2360: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1742, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1742 = None 2025-03-21T20:31:49.4456509Z aten_select_copy_int_518: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2360, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2360 = None 2025-03-21T20:31:49.4457531Z quantized_decomposed_quantize_per_tensor_default_1743: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_518, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_518 = None 2025-03-21T20:31:49.4458890Z quantized_decomposed_dequantize_per_tensor_default_2361: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1743, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1743 = None 2025-03-21T20:31:49.4459727Z aten_select_copy_int_519: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2361, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2361 = None 2025-03-21T20:31:49.4460756Z quantized_decomposed_quantize_per_tensor_default_1744: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_519, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_519 = None 2025-03-21T20:31:49.4460856Z 2025-03-21T20:31:49.4461936Z # File: .50:6043 in forward, code: dequantize_per_tensor_default_1903 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1903, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1903 = None 2025-03-21T20:31:49.4463284Z quantized_decomposed_dequantize_per_tensor_default_2362: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1744, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1744 = None 2025-03-21T20:31:49.4463419Z 2025-03-21T20:31:49.4464134Z # 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) 2025-03-21T20:31:49.4465092Z aten_permute_copy_default_437: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2292, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2292 = None 2025-03-21T20:31:49.4466172Z quantized_decomposed_quantize_per_tensor_default_1745: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_437, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_437 = None 2025-03-21T20:31:49.4467679Z quantized_decomposed_dequantize_per_tensor_default_2363: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1745, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1745 = None 2025-03-21T20:31:49.4468531Z aten_select_copy_int_520: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2363, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2363 = None 2025-03-21T20:31:49.4469576Z quantized_decomposed_quantize_per_tensor_default_1746: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_520, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_520 = None 2025-03-21T20:31:49.4470888Z quantized_decomposed_dequantize_per_tensor_default_2364: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1746, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1746 = None 2025-03-21T20:31:49.4471738Z aten_select_copy_int_521: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2364, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2364 = None 2025-03-21T20:31:49.4472891Z quantized_decomposed_quantize_per_tensor_default_1747: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_521, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_521 = None 2025-03-21T20:31:49.4472992Z 2025-03-21T20:31:49.4474053Z # File: .50:6052 in forward, code: dequantize_per_tensor_default_1906 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1906, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1906 = None 2025-03-21T20:31:49.4475385Z quantized_decomposed_dequantize_per_tensor_default_2365: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1747, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1747 = None 2025-03-21T20:31:49.4475535Z 2025-03-21T20:31:49.4476251Z # 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) 2025-03-21T20:31:49.4477167Z aten_permute_copy_default_438: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2291, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2291 = None 2025-03-21T20:31:49.4478294Z quantized_decomposed_quantize_per_tensor_default_1748: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_438, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_438 = None 2025-03-21T20:31:49.4479674Z quantized_decomposed_dequantize_per_tensor_default_2366: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1748, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1748 = None 2025-03-21T20:31:49.4480522Z aten_select_copy_int_522: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2366, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2366 = None 2025-03-21T20:31:49.4481563Z quantized_decomposed_quantize_per_tensor_default_1749: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_522, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_522 = None 2025-03-21T20:31:49.4482886Z quantized_decomposed_dequantize_per_tensor_default_2367: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1749, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1749 = None 2025-03-21T20:31:49.4483737Z aten_select_copy_int_523: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2367, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2367 = None 2025-03-21T20:31:49.4484764Z quantized_decomposed_quantize_per_tensor_default_1750: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_523, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_523 = None 2025-03-21T20:31:49.4484872Z 2025-03-21T20:31:49.4485934Z # File: .50:6061 in forward, code: dequantize_per_tensor_default_1909 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1909, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1909 = None 2025-03-21T20:31:49.4487290Z quantized_decomposed_dequantize_per_tensor_default_2368: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1750, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1750 = None 2025-03-21T20:31:49.4487392Z 2025-03-21T20:31:49.4488120Z # 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) 2025-03-21T20:31:49.4489032Z aten_permute_copy_default_439: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2290, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2290 = None 2025-03-21T20:31:49.4490154Z quantized_decomposed_quantize_per_tensor_default_1751: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_439, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_439 = None 2025-03-21T20:31:49.4491467Z quantized_decomposed_dequantize_per_tensor_default_2369: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1751, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1751 = None 2025-03-21T20:31:49.4492406Z aten_select_copy_int_524: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2369, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2369 = None 2025-03-21T20:31:49.4493436Z quantized_decomposed_quantize_per_tensor_default_1752: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_524, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_524 = None 2025-03-21T20:31:49.4494769Z quantized_decomposed_dequantize_per_tensor_default_2370: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1752, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1752 = None 2025-03-21T20:31:49.4495613Z aten_select_copy_int_525: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2370, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2370 = None 2025-03-21T20:31:49.4496645Z quantized_decomposed_quantize_per_tensor_default_1753: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_525, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_525 = None 2025-03-21T20:31:49.4496743Z 2025-03-21T20:31:49.4497815Z # File: .50:6070 in forward, code: dequantize_per_tensor_default_1912 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1912, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1912 = None 2025-03-21T20:31:49.4499139Z quantized_decomposed_dequantize_per_tensor_default_2371: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1753, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1753 = None 2025-03-21T20:31:49.4499249Z 2025-03-21T20:31:49.4500027Z # 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) 2025-03-21T20:31:49.4500956Z aten_permute_copy_default_440: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2289, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2289 = None 2025-03-21T20:31:49.4502040Z quantized_decomposed_quantize_per_tensor_default_1754: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_440, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_permute_copy_default_440 = None 2025-03-21T20:31:49.4503385Z quantized_decomposed_dequantize_per_tensor_default_2372: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1754, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1754 = None 2025-03-21T20:31:49.4504260Z aten_select_copy_int_526: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2372, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2372 = None 2025-03-21T20:31:49.4505298Z quantized_decomposed_quantize_per_tensor_default_1755: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_526, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_526 = None 2025-03-21T20:31:49.4506678Z quantized_decomposed_dequantize_per_tensor_default_2373: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1755, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1755 = None 2025-03-21T20:31:49.4507522Z aten_select_copy_int_527: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2373, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2373 = None 2025-03-21T20:31:49.4508553Z quantized_decomposed_quantize_per_tensor_default_1756: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_527, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_select_copy_int_527 = None 2025-03-21T20:31:49.4508652Z 2025-03-21T20:31:49.4509736Z # File: .50:6079 in forward, code: dequantize_per_tensor_default_1915 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1915, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1915 = None 2025-03-21T20:31:49.4511044Z quantized_decomposed_dequantize_per_tensor_default_2374: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1756, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1756 = None 2025-03-21T20:31:49.4511157Z 2025-03-21T20:31:49.4511881Z # 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) 2025-03-21T20:31:49.4518407Z aten_cat_default_43: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2341, quantized_decomposed_dequantize_per_tensor_default_2344, quantized_decomposed_dequantize_per_tensor_default_2347, quantized_decomposed_dequantize_per_tensor_default_2350, quantized_decomposed_dequantize_per_tensor_default_2353, quantized_decomposed_dequantize_per_tensor_default_2356, quantized_decomposed_dequantize_per_tensor_default_2359, quantized_decomposed_dequantize_per_tensor_default_2362, quantized_decomposed_dequantize_per_tensor_default_2365, quantized_decomposed_dequantize_per_tensor_default_2368, quantized_decomposed_dequantize_per_tensor_default_2371, quantized_decomposed_dequantize_per_tensor_default_2374]); quantized_decomposed_dequantize_per_tensor_default_2341 = quantized_decomposed_dequantize_per_tensor_default_2344 = quantized_decomposed_dequantize_per_tensor_default_2347 = quantized_decomposed_dequantize_per_tensor_default_2350 = quantized_decomposed_dequantize_per_tensor_default_2353 = quantized_decomposed_dequantize_per_tensor_default_2356 = quantized_decomposed_dequantize_per_tensor_default_2359 = quantized_decomposed_dequantize_per_tensor_default_2362 = quantized_decomposed_dequantize_per_tensor_default_2365 = quantized_decomposed_dequantize_per_tensor_default_2368 = quantized_decomposed_dequantize_per_tensor_default_2371 = quantized_decomposed_dequantize_per_tensor_default_2374 = None 2025-03-21T20:31:49.4519448Z quantized_decomposed_quantize_per_tensor_default_1757: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_43, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_cat_default_43 = None 2025-03-21T20:31:49.4520761Z quantized_decomposed_dequantize_per_tensor_default_2375: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1757, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1757 = None 2025-03-21T20:31:49.4521718Z aten_view_copy_default_190: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2375, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2375 = None 2025-03-21T20:31:49.4522773Z quantized_decomposed_quantize_per_tensor_default_1758: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_190, 0.00021122458565514535, 31154, 0, 65535, torch.int32); aten_view_copy_default_190 = None 2025-03-21T20:31:49.4522887Z 2025-03-21T20:31:49.4523959Z # File: .50:6085 in forward, code: dequantize_per_tensor_default_1917 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1917, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantize_per_tensor_default_1917 = None 2025-03-21T20:31:49.4525300Z quantized_decomposed_dequantize_per_tensor_default_2376: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1758, 0.00021122458565514535, 31154, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1758 = None 2025-03-21T20:31:49.4525399Z 2025-03-21T20:31:49.4526479Z # File: .50:6086 in forward, code: quantize_per_tensor_default_1918 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1917, 0.00022162823006510735, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1917 = None 2025-03-21T20:31:49.4527806Z quantized_decomposed_quantize_per_tensor_default_1759: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2376, 0.00022162823006510735, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2376 = None 2025-03-21T20:31:49.4527921Z 2025-03-21T20:31:49.4528445Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.4529825Z quantized_decomposed_dequantize_per_tensor_default_2377: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1759, 0.00022162823006510735, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1759 = None 2025-03-21T20:31:49.4529925Z 2025-03-21T20:31:49.4530497Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:49.4531401Z aten_index_tensor_12: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_145, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_145 = None 2025-03-21T20:31:49.4532401Z quantized_decomposed_quantize_per_tensor_default_1760: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_12, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_12 = None 2025-03-21T20:31:49.4532525Z 2025-03-21T20:31:49.4533078Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.4534392Z quantized_decomposed_dequantize_per_tensor_default_2378: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1760, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1760 = None 2025-03-21T20:31:49.4534530Z 2025-03-21T20:31:49.4535200Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.4536115Z aten_permute_copy_default_441: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2338, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_2338 = None 2025-03-21T20:31:49.4537201Z quantized_decomposed_quantize_per_tensor_default_1761: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_441, 0.00039381824899464846, 31308, 0, 65535, torch.int32); aten_permute_copy_default_441 = None 2025-03-21T20:31:49.4537304Z 2025-03-21T20:31:49.4538380Z # File: .50:6093 in forward, code: dequantize_per_tensor_default_1920 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1920, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantize_per_tensor_default_1920 = None 2025-03-21T20:31:49.4539719Z quantized_decomposed_dequantize_per_tensor_default_2379: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1761, 0.00039381824899464846, 31308, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1761 = None 2025-03-21T20:31:49.4539815Z 2025-03-21T20:31:49.4540865Z # File: .50:6094 in forward, code: quantize_per_tensor_default_1921 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_1920, 0.000411360728321597, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_1920 = None 2025-03-21T20:31:49.4542197Z quantized_decomposed_quantize_per_tensor_default_1762: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2379, 0.000411360728321597, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2379 = None 2025-03-21T20:31:49.4542314Z 2025-03-21T20:31:49.4542983Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.4544299Z quantized_decomposed_dequantize_per_tensor_default_2380: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1762, 0.000411360728321597, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1762 = None 2025-03-21T20:31:49.4545212Z aten_expand_copy_default_40: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2274, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_2274 = None 2025-03-21T20:31:49.4545851Z 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 2025-03-21T20:31:49.4546780Z aten_expand_copy_default_41: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2380, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_2380 = None 2025-03-21T20:31:49.4547432Z 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 2025-03-21T20:31:49.4548218Z 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 2025-03-21T20:31:49.4548812Z 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 2025-03-21T20:31:49.4549862Z quantized_decomposed_quantize_per_tensor_default_1763: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_193, 0.0036731965374201536, 37823, 0, 65535, torch.int32); aten_view_copy_default_193 = None 2025-03-21T20:31:49.4551193Z quantized_decomposed_dequantize_per_tensor_default_2381: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1763, 0.0036731965374201536, 37823, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1763 = None 2025-03-21T20:31:49.4552168Z quantized_decomposed_dequantize_per_tensor_default_2382: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param159, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param159 = None 2025-03-21T20:31:49.4553622Z aten_mul_tensor_160: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2381, quantized_decomposed_dequantize_per_tensor_default_2382); quantized_decomposed_dequantize_per_tensor_default_2381 = quantized_decomposed_dequantize_per_tensor_default_2382 = None 2025-03-21T20:31:49.4554605Z quantized_decomposed_quantize_per_tensor_default_1764: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_160, 0.0004591495671775192, 37823, 0, 65535, torch.int32); aten_mul_tensor_160 = None 2025-03-21T20:31:49.4554721Z 2025-03-21T20:31:49.4555266Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.4556638Z quantized_decomposed_dequantize_per_tensor_default_2383: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1764, 0.0004591495671775192, 37823, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1764 = None 2025-03-21T20:31:49.4557931Z aten_add_tensor_52: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2383, quantized_decomposed_dequantize_per_tensor_default_2378); quantized_decomposed_dequantize_per_tensor_default_2383 = quantized_decomposed_dequantize_per_tensor_default_2378 = None 2025-03-21T20:31:49.4558923Z quantized_decomposed_quantize_per_tensor_default_1765: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_52, 0.004276345018297434, 62560, 0, 65535, torch.int32); aten_add_tensor_52 = None 2025-03-21T20:31:49.4559049Z 2025-03-21T20:31:49.4559702Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:49.4561020Z quantized_decomposed_dequantize_per_tensor_default_2384: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1765, 0.004276345018297434, 62560, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1765 = None 2025-03-21T20:31:49.4561945Z aten__softmax_default_10: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_2384, -1, False); quantized_decomposed_dequantize_per_tensor_default_2384 = None 2025-03-21T20:31:49.4563005Z quantized_decomposed_quantize_per_tensor_default_1766: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_10, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_10 = None 2025-03-21T20:31:49.4563123Z 2025-03-21T20:31:49.4563643Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.4564946Z quantized_decomposed_dequantize_per_tensor_default_2385: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1766, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1766 = None 2025-03-21T20:31:49.4565847Z aten_expand_copy_default_42: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2385, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_2385 = None 2025-03-21T20:31:49.4566496Z 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 2025-03-21T20:31:49.4567605Z aten_expand_copy_default_43: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2377, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2377 = None 2025-03-21T20:31:49.4568258Z 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 2025-03-21T20:31:49.4568995Z 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 2025-03-21T20:31:49.4569660Z 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 2025-03-21T20:31:49.4570697Z quantized_decomposed_quantize_per_tensor_default_1767: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_196, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_view_copy_default_196 = None 2025-03-21T20:31:49.4570815Z 2025-03-21T20:31:49.4571521Z # 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) 2025-03-21T20:31:49.4572851Z quantized_decomposed_dequantize_per_tensor_default_2386: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1767, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1767 = None 2025-03-21T20:31:49.4573793Z aten_permute_copy_default_442: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2386, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2386 = None 2025-03-21T20:31:49.4574882Z quantized_decomposed_quantize_per_tensor_default_1768: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_442, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_permute_copy_default_442 = None 2025-03-21T20:31:49.4576276Z quantized_decomposed_dequantize_per_tensor_default_2387: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1768, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1768 = None 2025-03-21T20:31:49.4577173Z aten_view_copy_default_197: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2387, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_2387 = None 2025-03-21T20:31:49.4578215Z quantized_decomposed_quantize_per_tensor_default_1769: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_197, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_view_copy_default_197 = None 2025-03-21T20:31:49.4578328Z 2025-03-21T20:31:49.4578913Z # 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) 2025-03-21T20:31:49.4580250Z quantized_decomposed_dequantize_per_tensor_default_2388: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1769, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1769 = None 2025-03-21T20:31:49.4581168Z aten_unsqueeze_copy_default_117: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2388, -1); quantized_decomposed_dequantize_per_tensor_default_2388 = None 2025-03-21T20:31:49.4582275Z quantized_decomposed_quantize_per_tensor_default_1770: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_117, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_unsqueeze_copy_default_117 = None 2025-03-21T20:31:49.4582374Z 2025-03-21T20:31:49.4582846Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.4584187Z quantized_decomposed_dequantize_per_tensor_default_2389: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1770, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1770 = None 2025-03-21T20:31:49.4585104Z aten_permute_copy_default_443: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2389, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2389 = None 2025-03-21T20:31:49.4586185Z quantized_decomposed_quantize_per_tensor_default_1771: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_443, 0.00014636466221418232, 32803, 0, 65535, torch.int32); aten_permute_copy_default_443 = None 2025-03-21T20:31:49.4586323Z 2025-03-21T20:31:49.4586735Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.4588069Z quantized_decomposed_dequantize_per_tensor_default_2390: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1771, 0.00014636466221418232, 32803, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1771 = None 2025-03-21T20:31:49.4589563Z aten_convolution_default_73: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2390, quantized_decomposed_dequantize_per_tensor_default_95, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2390 = quantized_decomposed_dequantize_per_tensor_default_95 = None 2025-03-21T20:31:49.4590640Z quantized_decomposed_quantize_per_tensor_default_1772: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_73, 0.0002480327384546399, 28212, 0, 65535, torch.int32); aten_convolution_default_73 = None 2025-03-21T20:31:49.4590740Z 2025-03-21T20:31:49.4591228Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.4592543Z quantized_decomposed_dequantize_per_tensor_default_2391: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1772, 0.0002480327384546399, 28212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1772 = None 2025-03-21T20:31:49.4593553Z aten_permute_copy_default_444: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2391, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2391 = None 2025-03-21T20:31:49.4594633Z quantized_decomposed_quantize_per_tensor_default_1773: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_444, 0.0002480327384546399, 28212, 0, 65535, torch.int32); aten_permute_copy_default_444 = None 2025-03-21T20:31:49.4594747Z 2025-03-21T20:31:49.4595349Z # 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]) 2025-03-21T20:31:49.4596672Z quantized_decomposed_dequantize_per_tensor_default_2392: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1773, 0.0002480327384546399, 28212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1773 = None 2025-03-21T20:31:49.4597572Z aten_squeeze_copy_dims_117: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2392, [-1]); quantized_decomposed_dequantize_per_tensor_default_2392 = None 2025-03-21T20:31:49.4598617Z quantized_decomposed_quantize_per_tensor_default_1774: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_117, 0.0002480327384546399, 28212, 0, 65535, torch.int32); aten_squeeze_copy_dims_117 = None 2025-03-21T20:31:49.4598716Z 2025-03-21T20:31:49.4599154Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.4600475Z quantized_decomposed_dequantize_per_tensor_default_2393: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1774, 0.0002480327384546399, 28212, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1774 = None 2025-03-21T20:31:49.4601810Z aten_add_tensor_53: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2213, quantized_decomposed_dequantize_per_tensor_default_2393); quantized_decomposed_dequantize_per_tensor_default_2213 = quantized_decomposed_dequantize_per_tensor_default_2393 = None 2025-03-21T20:31:49.4602801Z quantized_decomposed_quantize_per_tensor_default_1775: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_53, 0.0027502242010086775, 9540, 0, 65535, torch.int32); aten_add_tensor_53 = None 2025-03-21T20:31:49.4602937Z 2025-03-21T20:31:49.4603508Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.4604565Z quantized_decomposed_dequantize_per_tensor_default_2394: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1775, 0.0027502242010086775, 9540, 0, 65535, torch.int32) 2025-03-21T20:31:49.4605866Z quantized_decomposed_dequantize_per_tensor_default_2395: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1775, 0.0027502242010086775, 9540, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1775 = None 2025-03-21T20:31:49.4606467Z aten_pow_tensor_scalar_21: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2395, 2) 2025-03-21T20:31:49.4606984Z 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 2025-03-21T20:31:49.4607499Z 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 2025-03-21T20:31:49.4607974Z 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 2025-03-21T20:31:49.4608968Z aten_mul_tensor_161: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2395, aten_rsqrt_default_21); quantized_decomposed_dequantize_per_tensor_default_2395 = aten_rsqrt_default_21 = None 2025-03-21T20:31:49.4609895Z aten_mul_tensor_162: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_161, quantized_decomposed_dequantize_per_tensor_default_96); aten_mul_tensor_161 = quantized_decomposed_dequantize_per_tensor_default_96 = None 2025-03-21T20:31:49.4610909Z quantized_decomposed_quantize_per_tensor_default_1776: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_162, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_mul_tensor_162 = None 2025-03-21T20:31:49.4611007Z 2025-03-21T20:31:49.4611604Z # 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) 2025-03-21T20:31:49.4612655Z quantized_decomposed_dequantize_per_tensor_default_2396: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1776, 0.0005783338565379381, 21200, 0, 65535, torch.int32) 2025-03-21T20:31:49.4613981Z quantized_decomposed_dequantize_per_tensor_default_2397: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1776, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1776 = None 2025-03-21T20:31:49.4614926Z aten_unsqueeze_copy_default_118: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2397, -1); quantized_decomposed_dequantize_per_tensor_default_2397 = None 2025-03-21T20:31:49.4616070Z quantized_decomposed_quantize_per_tensor_default_1777: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_118, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_unsqueeze_copy_default_118 = None 2025-03-21T20:31:49.4616193Z 2025-03-21T20:31:49.4616662Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.4617979Z quantized_decomposed_dequantize_per_tensor_default_2398: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1777, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1777 = None 2025-03-21T20:31:49.4618894Z aten_permute_copy_default_445: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2398, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2398 = None 2025-03-21T20:31:49.4619964Z quantized_decomposed_quantize_per_tensor_default_1778: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_445, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_permute_copy_default_445 = None 2025-03-21T20:31:49.4620075Z 2025-03-21T20:31:49.4620486Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.4621811Z quantized_decomposed_dequantize_per_tensor_default_2399: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1778, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1778 = None 2025-03-21T20:31:49.4623276Z aten_convolution_default_74: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2399, quantized_decomposed_dequantize_per_tensor_default_97, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2399 = quantized_decomposed_dequantize_per_tensor_default_97 = None 2025-03-21T20:31:49.4624382Z quantized_decomposed_quantize_per_tensor_default_1779: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_74, 0.0002567260235082358, 25603, 0, 65535, torch.int32); aten_convolution_default_74 = None 2025-03-21T20:31:49.4624482Z 2025-03-21T20:31:49.4624967Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.4626290Z quantized_decomposed_dequantize_per_tensor_default_2400: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1779, 0.0002567260235082358, 25603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1779 = None 2025-03-21T20:31:49.4627219Z aten_permute_copy_default_446: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2400, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2400 = None 2025-03-21T20:31:49.4628327Z quantized_decomposed_quantize_per_tensor_default_1780: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_446, 0.0002567260235082358, 25603, 0, 65535, torch.int32); aten_permute_copy_default_446 = None 2025-03-21T20:31:49.4628464Z 2025-03-21T20:31:49.4629065Z # 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]) 2025-03-21T20:31:49.4630419Z quantized_decomposed_dequantize_per_tensor_default_2401: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1780, 0.0002567260235082358, 25603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1780 = None 2025-03-21T20:31:49.4631290Z aten_squeeze_copy_dims_118: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2401, [-1]); quantized_decomposed_dequantize_per_tensor_default_2401 = None 2025-03-21T20:31:49.4632337Z quantized_decomposed_quantize_per_tensor_default_1781: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_118, 0.0002567260235082358, 25603, 0, 65535, torch.int32); aten_squeeze_copy_dims_118 = None 2025-03-21T20:31:49.4632436Z 2025-03-21T20:31:49.4633101Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.4634169Z quantized_decomposed_dequantize_per_tensor_default_2402: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1781, 0.0002567260235082358, 25603, 0, 65535, torch.int32) 2025-03-21T20:31:49.4635511Z quantized_decomposed_dequantize_per_tensor_default_2403: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1781, 0.0002567260235082358, 25603, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1781 = None 2025-03-21T20:31:49.4636372Z aten_sigmoid_default_10: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_2403); quantized_decomposed_dequantize_per_tensor_default_2403 = None 2025-03-21T20:31:49.4637375Z quantized_decomposed_quantize_per_tensor_default_1782: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_10, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_10 = None 2025-03-21T20:31:49.4638704Z quantized_decomposed_dequantize_per_tensor_default_2404: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1782, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1782 = None 2025-03-21T20:31:49.4640013Z aten_mul_tensor_163: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2402, quantized_decomposed_dequantize_per_tensor_default_2404); quantized_decomposed_dequantize_per_tensor_default_2402 = quantized_decomposed_dequantize_per_tensor_default_2404 = None 2025-03-21T20:31:49.4641016Z quantized_decomposed_quantize_per_tensor_default_1783: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_163, 0.00016067380784079432, 1733, 0, 65535, torch.int32); aten_mul_tensor_163 = None 2025-03-21T20:31:49.4642356Z quantized_decomposed_dequantize_per_tensor_default_2405: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1783, 0.00016067380784079432, 1733, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1783 = None 2025-03-21T20:31:49.4642494Z 2025-03-21T20:31:49.4643079Z # 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) 2025-03-21T20:31:49.4644034Z aten_unsqueeze_copy_default_119: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2396, -1); quantized_decomposed_dequantize_per_tensor_default_2396 = None 2025-03-21T20:31:49.4645129Z quantized_decomposed_quantize_per_tensor_default_1784: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_119, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_unsqueeze_copy_default_119 = None 2025-03-21T20:31:49.4645240Z 2025-03-21T20:31:49.4645693Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.4647018Z quantized_decomposed_dequantize_per_tensor_default_2406: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1784, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1784 = None 2025-03-21T20:31:49.4647929Z aten_permute_copy_default_447: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2406, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2406 = None 2025-03-21T20:31:49.4649009Z quantized_decomposed_quantize_per_tensor_default_1785: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_447, 0.0005783338565379381, 21200, 0, 65535, torch.int32); aten_permute_copy_default_447 = None 2025-03-21T20:31:49.4649108Z 2025-03-21T20:31:49.4649534Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.4650845Z quantized_decomposed_dequantize_per_tensor_default_2407: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1785, 0.0005783338565379381, 21200, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1785 = None 2025-03-21T20:31:49.4652341Z aten_convolution_default_75: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2407, quantized_decomposed_dequantize_per_tensor_default_98, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2407 = quantized_decomposed_dequantize_per_tensor_default_98 = None 2025-03-21T20:31:49.4653415Z quantized_decomposed_quantize_per_tensor_default_1786: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_75, 0.00028021426987834275, 27530, 0, 65535, torch.int32); aten_convolution_default_75 = None 2025-03-21T20:31:49.4653526Z 2025-03-21T20:31:49.4654004Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.4655386Z quantized_decomposed_dequantize_per_tensor_default_2408: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1786, 0.00028021426987834275, 27530, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1786 = None 2025-03-21T20:31:49.4656319Z aten_permute_copy_default_448: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2408, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2408 = None 2025-03-21T20:31:49.4657449Z quantized_decomposed_quantize_per_tensor_default_1787: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_448, 0.00028021426987834275, 27530, 0, 65535, torch.int32); aten_permute_copy_default_448 = None 2025-03-21T20:31:49.4657563Z 2025-03-21T20:31:49.4658165Z # 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]) 2025-03-21T20:31:49.4659500Z quantized_decomposed_dequantize_per_tensor_default_2409: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1787, 0.00028021426987834275, 27530, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1787 = None 2025-03-21T20:31:49.4660367Z aten_squeeze_copy_dims_119: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2409, [-1]); quantized_decomposed_dequantize_per_tensor_default_2409 = None 2025-03-21T20:31:49.4661433Z quantized_decomposed_quantize_per_tensor_default_1788: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_119, 0.00028021426987834275, 27530, 0, 65535, torch.int32); aten_squeeze_copy_dims_119 = None 2025-03-21T20:31:49.4661535Z 2025-03-21T20:31:49.4662131Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.4663448Z quantized_decomposed_dequantize_per_tensor_default_2410: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1788, 0.00028021426987834275, 27530, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1788 = None 2025-03-21T20:31:49.4664762Z aten_mul_tensor_164: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2405, quantized_decomposed_dequantize_per_tensor_default_2410); quantized_decomposed_dequantize_per_tensor_default_2405 = quantized_decomposed_dequantize_per_tensor_default_2410 = None 2025-03-21T20:31:49.4665776Z quantized_decomposed_quantize_per_tensor_default_1789: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_164, 0.0008850086014717817, 31787, 0, 65535, torch.int32); aten_mul_tensor_164 = None 2025-03-21T20:31:49.4665891Z 2025-03-21T20:31:49.4666472Z # 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) 2025-03-21T20:31:49.4668009Z quantized_decomposed_dequantize_per_tensor_default_2411: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1789, 0.0008850086014717817, 31787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1789 = None 2025-03-21T20:31:49.4668997Z aten_unsqueeze_copy_default_120: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2411, -1); quantized_decomposed_dequantize_per_tensor_default_2411 = None 2025-03-21T20:31:49.4670112Z quantized_decomposed_quantize_per_tensor_default_1790: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_120, 0.0008850086014717817, 31787, 0, 65535, torch.int32); aten_unsqueeze_copy_default_120 = None 2025-03-21T20:31:49.4670250Z 2025-03-21T20:31:49.4670725Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.4672086Z quantized_decomposed_dequantize_per_tensor_default_2412: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1790, 0.0008850086014717817, 31787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1790 = None 2025-03-21T20:31:49.4673092Z aten_permute_copy_default_449: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2412, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2412 = None 2025-03-21T20:31:49.4674168Z quantized_decomposed_quantize_per_tensor_default_1791: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_449, 0.0008850086014717817, 31787, 0, 65535, torch.int32); aten_permute_copy_default_449 = None 2025-03-21T20:31:49.4674286Z 2025-03-21T20:31:49.4674701Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.4676046Z quantized_decomposed_dequantize_per_tensor_default_2413: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1791, 0.0008850086014717817, 31787, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1791 = None 2025-03-21T20:31:49.4677515Z aten_convolution_default_76: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2413, quantized_decomposed_dequantize_per_tensor_default_99, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2413 = quantized_decomposed_dequantize_per_tensor_default_99 = None 2025-03-21T20:31:49.4678598Z quantized_decomposed_quantize_per_tensor_default_1792: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_76, 0.0007228487520478666, 44000, 0, 65535, torch.int32); aten_convolution_default_76 = None 2025-03-21T20:31:49.4678696Z 2025-03-21T20:31:49.4679222Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.4680544Z quantized_decomposed_dequantize_per_tensor_default_2414: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1792, 0.0007228487520478666, 44000, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1792 = None 2025-03-21T20:31:49.4681470Z aten_permute_copy_default_450: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2414, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2414 = None 2025-03-21T20:31:49.4682538Z quantized_decomposed_quantize_per_tensor_default_1793: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_450, 0.0007228487520478666, 44000, 0, 65535, torch.int32); aten_permute_copy_default_450 = None 2025-03-21T20:31:49.4682676Z 2025-03-21T20:31:49.4683278Z # 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]) 2025-03-21T20:31:49.4684605Z quantized_decomposed_dequantize_per_tensor_default_2415: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1793, 0.0007228487520478666, 44000, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1793 = None 2025-03-21T20:31:49.4685516Z aten_squeeze_copy_dims_120: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2415, [-1]); quantized_decomposed_dequantize_per_tensor_default_2415 = None 2025-03-21T20:31:49.4686574Z quantized_decomposed_quantize_per_tensor_default_1794: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_120, 0.0007228487520478666, 44000, 0, 65535, torch.int32); aten_squeeze_copy_dims_120 = None 2025-03-21T20:31:49.4686672Z 2025-03-21T20:31:49.4687256Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.4688560Z quantized_decomposed_dequantize_per_tensor_default_2416: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1794, 0.0007228487520478666, 44000, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1794 = None 2025-03-21T20:31:49.4689866Z aten_add_tensor_54: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2394, quantized_decomposed_dequantize_per_tensor_default_2416); quantized_decomposed_dequantize_per_tensor_default_2394 = quantized_decomposed_dequantize_per_tensor_default_2416 = None 2025-03-21T20:31:49.4690843Z quantized_decomposed_quantize_per_tensor_default_1795: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_54, 0.0024239460472017527, 13427, 0, 65535, torch.int32); aten_add_tensor_54 = None 2025-03-21T20:31:49.4690953Z 2025-03-21T20:31:49.4691368Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.4692432Z quantized_decomposed_dequantize_per_tensor_default_2417: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1795, 0.0024239460472017527, 13427, 0, 65535, torch.int32) 2025-03-21T20:31:49.4692530Z 2025-03-21T20:31:49.4693201Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:108 in forward, code: self.attention_norm(x), freqs_cos, freqs_sin, **attn_options 2025-03-21T20:31:49.4694520Z quantized_decomposed_dequantize_per_tensor_default_2418: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1795, 0.0024239460472017527, 13427, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1795 = None 2025-03-21T20:31:49.4695117Z aten_pow_tensor_scalar_22: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2418, 2) 2025-03-21T20:31:49.4695628Z 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 2025-03-21T20:31:49.4696168Z 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 2025-03-21T20:31:49.4696640Z 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 2025-03-21T20:31:49.4697626Z aten_mul_tensor_165: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2418, aten_rsqrt_default_22); quantized_decomposed_dequantize_per_tensor_default_2418 = aten_rsqrt_default_22 = None 2025-03-21T20:31:49.4698611Z aten_mul_tensor_166: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_165, quantized_decomposed_dequantize_per_tensor_default_100); aten_mul_tensor_165 = quantized_decomposed_dequantize_per_tensor_default_100 = None 2025-03-21T20:31:49.4699610Z quantized_decomposed_quantize_per_tensor_default_1796: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_166, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_mul_tensor_166 = None 2025-03-21T20:31:49.4699707Z 2025-03-21T20:31:49.4700300Z # 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) 2025-03-21T20:31:49.4701348Z quantized_decomposed_dequantize_per_tensor_default_2419: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1796, 0.0005588648491539061, 33862, 0, 65535, torch.int32) 2025-03-21T20:31:49.4702413Z quantized_decomposed_dequantize_per_tensor_default_2420: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1796, 0.0005588648491539061, 33862, 0, 65535, torch.int32) 2025-03-21T20:31:49.4703723Z quantized_decomposed_dequantize_per_tensor_default_2421: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1796, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1796 = None 2025-03-21T20:31:49.4704662Z aten_unsqueeze_copy_default_121: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2421, -1); quantized_decomposed_dequantize_per_tensor_default_2421 = None 2025-03-21T20:31:49.4705749Z quantized_decomposed_quantize_per_tensor_default_1797: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_121, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_unsqueeze_copy_default_121 = None 2025-03-21T20:31:49.4705887Z 2025-03-21T20:31:49.4706345Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.4707670Z quantized_decomposed_dequantize_per_tensor_default_2422: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1797, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1797 = None 2025-03-21T20:31:49.4708583Z aten_permute_copy_default_451: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2422, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2422 = None 2025-03-21T20:31:49.4709688Z quantized_decomposed_quantize_per_tensor_default_1798: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_451, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_permute_copy_default_451 = None 2025-03-21T20:31:49.4709785Z 2025-03-21T20:31:49.4710208Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.4711549Z quantized_decomposed_dequantize_per_tensor_default_2423: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1798, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1798 = None 2025-03-21T20:31:49.4713177Z aten_convolution_default_77: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2423, quantized_decomposed_dequantize_per_tensor_default_101, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2423 = quantized_decomposed_dequantize_per_tensor_default_101 = None 2025-03-21T20:31:49.4714243Z quantized_decomposed_quantize_per_tensor_default_1799: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_77, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_convolution_default_77 = None 2025-03-21T20:31:49.4714353Z 2025-03-21T20:31:49.4714824Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.4716153Z quantized_decomposed_dequantize_per_tensor_default_2424: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1799, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1799 = None 2025-03-21T20:31:49.4717062Z aten_permute_copy_default_452: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2424, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2424 = None 2025-03-21T20:31:49.4718148Z quantized_decomposed_quantize_per_tensor_default_1800: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_452, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_permute_copy_default_452 = None 2025-03-21T20:31:49.4718247Z 2025-03-21T20:31:49.4718860Z # 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]) 2025-03-21T20:31:49.4720222Z quantized_decomposed_dequantize_per_tensor_default_2425: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1800, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1800 = None 2025-03-21T20:31:49.4721100Z aten_squeeze_copy_dims_121: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2425, [-1]); quantized_decomposed_dequantize_per_tensor_default_2425 = None 2025-03-21T20:31:49.4722146Z quantized_decomposed_quantize_per_tensor_default_1801: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_121, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_squeeze_copy_dims_121 = None 2025-03-21T20:31:49.4722255Z 2025-03-21T20:31:49.4722861Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.4724193Z quantized_decomposed_dequantize_per_tensor_default_2426: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1801, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1801 = None 2025-03-21T20:31:49.4724320Z 2025-03-21T20:31:49.4724912Z # 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) 2025-03-21T20:31:49.4725858Z aten_unsqueeze_copy_default_122: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2420, -1); quantized_decomposed_dequantize_per_tensor_default_2420 = None 2025-03-21T20:31:49.4726969Z quantized_decomposed_quantize_per_tensor_default_1802: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_122, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_unsqueeze_copy_default_122 = None 2025-03-21T20:31:49.4727065Z 2025-03-21T20:31:49.4727530Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.4728853Z quantized_decomposed_dequantize_per_tensor_default_2427: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1802, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1802 = None 2025-03-21T20:31:49.4729778Z aten_permute_copy_default_453: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2427, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2427 = None 2025-03-21T20:31:49.4730849Z quantized_decomposed_quantize_per_tensor_default_1803: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_453, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_permute_copy_default_453 = None 2025-03-21T20:31:49.4730963Z 2025-03-21T20:31:49.4731372Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.4732700Z quantized_decomposed_dequantize_per_tensor_default_2428: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1803, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1803 = None 2025-03-21T20:31:49.4734187Z aten_convolution_default_78: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2428, quantized_decomposed_dequantize_per_tensor_default_102, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2428 = quantized_decomposed_dequantize_per_tensor_default_102 = None 2025-03-21T20:31:49.4735268Z quantized_decomposed_quantize_per_tensor_default_1804: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_78, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_convolution_default_78 = None 2025-03-21T20:31:49.4735364Z 2025-03-21T20:31:49.4735848Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.4737191Z quantized_decomposed_dequantize_per_tensor_default_2429: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1804, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1804 = None 2025-03-21T20:31:49.4738116Z aten_permute_copy_default_454: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2429, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2429 = None 2025-03-21T20:31:49.4739230Z quantized_decomposed_quantize_per_tensor_default_1805: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_454, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_permute_copy_default_454 = None 2025-03-21T20:31:49.4739343Z 2025-03-21T20:31:49.4739945Z # 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]) 2025-03-21T20:31:49.4741268Z quantized_decomposed_dequantize_per_tensor_default_2430: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1805, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1805 = None 2025-03-21T20:31:49.4742129Z aten_squeeze_copy_dims_122: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2430, [-1]); quantized_decomposed_dequantize_per_tensor_default_2430 = None 2025-03-21T20:31:49.4743176Z quantized_decomposed_quantize_per_tensor_default_1806: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_122, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_squeeze_copy_dims_122 = None 2025-03-21T20:31:49.4743273Z 2025-03-21T20:31:49.4743875Z # 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) 2025-03-21T20:31:49.4745177Z quantized_decomposed_dequantize_per_tensor_default_2431: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1806, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1806 = None 2025-03-21T20:31:49.4745286Z 2025-03-21T20:31:49.4745862Z # 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) 2025-03-21T20:31:49.4746798Z aten_unsqueeze_copy_default_123: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2419, -1); quantized_decomposed_dequantize_per_tensor_default_2419 = None 2025-03-21T20:31:49.4747911Z quantized_decomposed_quantize_per_tensor_default_1807: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_123, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_unsqueeze_copy_default_123 = None 2025-03-21T20:31:49.4748009Z 2025-03-21T20:31:49.4748476Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.4749804Z quantized_decomposed_dequantize_per_tensor_default_2432: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1807, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1807 = None 2025-03-21T20:31:49.4750755Z aten_permute_copy_default_455: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2432, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2432 = None 2025-03-21T20:31:49.4751833Z quantized_decomposed_quantize_per_tensor_default_1808: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_455, 0.0005588648491539061, 33862, 0, 65535, torch.int32); aten_permute_copy_default_455 = None 2025-03-21T20:31:49.4751956Z 2025-03-21T20:31:49.4752364Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.4753855Z quantized_decomposed_dequantize_per_tensor_default_2433: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1808, 0.0005588648491539061, 33862, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1808 = None 2025-03-21T20:31:49.4755330Z aten_convolution_default_79: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2433, quantized_decomposed_dequantize_per_tensor_default_103, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2433 = quantized_decomposed_dequantize_per_tensor_default_103 = None 2025-03-21T20:31:49.4756387Z quantized_decomposed_quantize_per_tensor_default_1809: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_79, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_convolution_default_79 = None 2025-03-21T20:31:49.4756498Z 2025-03-21T20:31:49.4756969Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.4758282Z quantized_decomposed_dequantize_per_tensor_default_2434: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1809, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1809 = None 2025-03-21T20:31:49.4759213Z aten_permute_copy_default_456: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2434, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2434 = None 2025-03-21T20:31:49.4760285Z quantized_decomposed_quantize_per_tensor_default_1810: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_456, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_456 = None 2025-03-21T20:31:49.4760407Z 2025-03-21T20:31:49.4761009Z # 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]) 2025-03-21T20:31:49.4762327Z quantized_decomposed_dequantize_per_tensor_default_2435: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1810, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1810 = None 2025-03-21T20:31:49.4763207Z aten_squeeze_copy_dims_123: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2435, [-1]); quantized_decomposed_dequantize_per_tensor_default_2435 = None 2025-03-21T20:31:49.4764274Z quantized_decomposed_quantize_per_tensor_default_1811: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_123, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_squeeze_copy_dims_123 = None 2025-03-21T20:31:49.4764388Z 2025-03-21T20:31:49.4764974Z # 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) 2025-03-21T20:31:49.4766338Z quantized_decomposed_dequantize_per_tensor_default_2436: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1811, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1811 = None 2025-03-21T20:31:49.4766449Z 2025-03-21T20:31:49.4767199Z # File: /pytorch/executorch/examples/models/llama/attention.py:242 in forward, code: q = q.view(bsz, seqlen, self.n_local_heads, self.head_dim) 2025-03-21T20:31:49.4768091Z aten_view_copy_default_198: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2426, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2426 = None 2025-03-21T20:31:49.4769132Z quantized_decomposed_quantize_per_tensor_default_1812: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_198, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_view_copy_default_198 = None 2025-03-21T20:31:49.4769247Z 2025-03-21T20:31:49.4770310Z # File: .50:6253 in forward, code: dequantize_per_tensor_default_1972 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1972, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantize_per_tensor_default_1972 = None 2025-03-21T20:31:49.4771648Z quantized_decomposed_dequantize_per_tensor_default_2437: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1812, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1812 = None 2025-03-21T20:31:49.4771745Z 2025-03-21T20:31:49.4772347Z # 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) 2025-03-21T20:31:49.4773223Z aten_view_copy_default_199: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2431, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2431 = None 2025-03-21T20:31:49.4774325Z quantized_decomposed_quantize_per_tensor_default_1813: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_199, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_view_copy_default_199 = None 2025-03-21T20:31:49.4774424Z 2025-03-21T20:31:49.4775493Z # File: .50:6256 in forward, code: dequantize_per_tensor_default_1973 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1973, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantize_per_tensor_default_1973 = None 2025-03-21T20:31:49.4776811Z quantized_decomposed_dequantize_per_tensor_default_2438: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1813, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1813 = None 2025-03-21T20:31:49.4776957Z 2025-03-21T20:31:49.4777546Z # 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) 2025-03-21T20:31:49.4778428Z aten_view_copy_default_200: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2436, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2436 = None 2025-03-21T20:31:49.4779495Z quantized_decomposed_quantize_per_tensor_default_1814: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_200, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_view_copy_default_200 = None 2025-03-21T20:31:49.4779603Z 2025-03-21T20:31:49.4780383Z # 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) 2025-03-21T20:31:49.4781714Z quantized_decomposed_dequantize_per_tensor_default_2439: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1814, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1814 = None 2025-03-21T20:31:49.4781812Z 2025-03-21T20:31:49.4782682Z # File: .50:6261 in forward, code: quantize_per_tensor_default_1975 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_22, 0.00039327371632680297, 29965, 0, 65535, torch.int32); _to_copy_22 = None 2025-03-21T20:31:49.4783993Z quantized_decomposed_quantize_per_tensor_default_1815: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2437, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2437 = None 2025-03-21T20:31:49.4784102Z 2025-03-21T20:31:49.4784692Z # 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) 2025-03-21T20:31:49.4786018Z quantized_decomposed_dequantize_per_tensor_default_2440: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1815, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1815 = None 2025-03-21T20:31:49.4786904Z aten_view_copy_default_201: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2440, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2440 = None 2025-03-21T20:31:49.4787993Z quantized_decomposed_quantize_per_tensor_default_1816: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_201, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_view_copy_default_201 = None 2025-03-21T20:31:49.4789317Z quantized_decomposed_dequantize_per_tensor_default_2441: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1816, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1816 = None 2025-03-21T20:31:49.4789939Z aten_slice_copy_tensor_44: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2441, 4, 0, 1) 2025-03-21T20:31:49.4790800Z aten_slice_copy_tensor_45: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2441, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2441 = None 2025-03-21T20:31:49.4791431Z 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 2025-03-21T20:31:49.4792020Z 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 2025-03-21T20:31:49.4793205Z quantized_decomposed_quantize_per_tensor_default_1817: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_124, 0.00039327371632680297, 29965, 0, 65535, torch.int32); aten_squeeze_copy_dims_124 = None 2025-03-21T20:31:49.4793309Z 2025-03-21T20:31:49.4793863Z # 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 2025-03-21T20:31:49.4794911Z quantized_decomposed_dequantize_per_tensor_default_2442: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1817, 0.00039327371632680297, 29965, 0, 65535, torch.int32) 2025-03-21T20:31:49.4795027Z 2025-03-21T20:31:49.4795559Z # 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 2025-03-21T20:31:49.4796906Z quantized_decomposed_dequantize_per_tensor_default_2443: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1817, 0.00039327371632680297, 29965, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1817 = None 2025-03-21T20:31:49.4797005Z 2025-03-21T20:31:49.4797607Z # 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) 2025-03-21T20:31:49.4798641Z quantized_decomposed_quantize_per_tensor_default_1818: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_125, 0.000342332263244316, 30696, 0, 65535, torch.int32); aten_squeeze_copy_dims_125 = None 2025-03-21T20:31:49.4798758Z 2025-03-21T20:31:49.4799293Z # 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 2025-03-21T20:31:49.4800348Z quantized_decomposed_dequantize_per_tensor_default_2444: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1818, 0.000342332263244316, 30696, 0, 65535, torch.int32) 2025-03-21T20:31:49.4800446Z 2025-03-21T20:31:49.4801007Z # 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 2025-03-21T20:31:49.4802330Z quantized_decomposed_dequantize_per_tensor_default_2445: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1818, 0.000342332263244316, 30696, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1818 = None 2025-03-21T20:31:49.4802430Z 2025-03-21T20:31:49.4803315Z # File: .50:6276 in forward, code: quantize_per_tensor_default_1979 = torch.ops.quantized_decomposed.quantize_per_tensor.default(_to_copy_23, 0.0004171783511992544, 32679, 0, 65535, torch.int32); _to_copy_23 = None 2025-03-21T20:31:49.4804656Z quantized_decomposed_quantize_per_tensor_default_1819: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2438, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2438 = None 2025-03-21T20:31:49.4804770Z 2025-03-21T20:31:49.4805360Z # 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) 2025-03-21T20:31:49.4806743Z quantized_decomposed_dequantize_per_tensor_default_2446: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1819, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1819 = None 2025-03-21T20:31:49.4807637Z aten_view_copy_default_202: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2446, [1, 1, 12, -1, 2]); quantized_decomposed_dequantize_per_tensor_default_2446 = None 2025-03-21T20:31:49.4808694Z quantized_decomposed_quantize_per_tensor_default_1820: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_202, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_view_copy_default_202 = None 2025-03-21T20:31:49.4810021Z quantized_decomposed_dequantize_per_tensor_default_2447: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1820, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1820 = None 2025-03-21T20:31:49.4810627Z aten_slice_copy_tensor_46: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2447, 4, 0, 1) 2025-03-21T20:31:49.4811496Z aten_slice_copy_tensor_47: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_slice_copy_Tensor(quantized_decomposed_dequantize_per_tensor_default_2447, 4, 1, 2); quantized_decomposed_dequantize_per_tensor_default_2447 = None 2025-03-21T20:31:49.4812084Z 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 2025-03-21T20:31:49.4812690Z 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 2025-03-21T20:31:49.4813731Z quantized_decomposed_quantize_per_tensor_default_1821: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_126, 0.00038696694537065923, 32773, 0, 65535, torch.int32); aten_squeeze_copy_dims_126 = None 2025-03-21T20:31:49.4813872Z 2025-03-21T20:31:49.4814409Z # 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 2025-03-21T20:31:49.4815452Z quantized_decomposed_dequantize_per_tensor_default_2448: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.00038696694537065923, 32773, 0, 65535, torch.int32) 2025-03-21T20:31:49.4815570Z 2025-03-21T20:31:49.4816103Z # 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 2025-03-21T20:31:49.4817441Z quantized_decomposed_dequantize_per_tensor_default_2449: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1821, 0.00038696694537065923, 32773, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1821 = None 2025-03-21T20:31:49.4817565Z 2025-03-21T20:31:49.4818168Z # 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) 2025-03-21T20:31:49.4819248Z quantized_decomposed_quantize_per_tensor_default_1822: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_127, 0.0004171783511992544, 32679, 0, 65535, torch.int32); aten_squeeze_copy_dims_127 = None 2025-03-21T20:31:49.4819360Z 2025-03-21T20:31:49.4819910Z # 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 2025-03-21T20:31:49.4820976Z quantized_decomposed_dequantize_per_tensor_default_2450: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0004171783511992544, 32679, 0, 65535, torch.int32) 2025-03-21T20:31:49.4821073Z 2025-03-21T20:31:49.4821609Z # 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 2025-03-21T20:31:49.4822923Z quantized_decomposed_dequantize_per_tensor_default_2451: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1822, 0.0004171783511992544, 32679, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1822 = None 2025-03-21T20:31:49.4823036Z 2025-03-21T20:31:49.4823525Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.4824399Z aten_view_copy_default_203: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_151, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_151 = None 2025-03-21T20:31:49.4825425Z quantized_decomposed_quantize_per_tensor_default_1823: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_203, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); aten_view_copy_default_203 = None 2025-03-21T20:31:49.4825538Z 2025-03-21T20:31:49.4826066Z # 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 2025-03-21T20:31:49.4827141Z quantized_decomposed_dequantize_per_tensor_default_2452: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1823, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.4827255Z 2025-03-21T20:31:49.4827786Z # 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 2025-03-21T20:31:49.4828847Z quantized_decomposed_dequantize_per_tensor_default_2453: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1823, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.4828946Z 2025-03-21T20:31:49.4829492Z # 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 2025-03-21T20:31:49.4830536Z quantized_decomposed_dequantize_per_tensor_default_2454: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1823, 3.051804378628731e-05, 32768, 0, 65535, torch.int32) 2025-03-21T20:31:49.4830675Z 2025-03-21T20:31:49.4831204Z # 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 2025-03-21T20:31:49.4832517Z quantized_decomposed_dequantize_per_tensor_default_2455: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1823, 3.051804378628731e-05, 32768, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1823 = None 2025-03-21T20:31:49.4832640Z 2025-03-21T20:31:49.4833276Z # File: /pytorch/executorch/examples/models/llama/rope.py:78 in reshape_for_broadcast, code: return freqs_cis.view(shape) 2025-03-21T20:31:49.4834139Z aten_view_copy_default_204: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_163, [1, 1, 1, 32]); quantized_decomposed_dequantize_per_tensor_default_163 = None 2025-03-21T20:31:49.4835180Z quantized_decomposed_quantize_per_tensor_default_1824: "i32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_204, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); aten_view_copy_default_204 = None 2025-03-21T20:31:49.4835280Z 2025-03-21T20:31:49.4835825Z # 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 2025-03-21T20:31:49.4836872Z quantized_decomposed_dequantize_per_tensor_default_2456: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1824, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.4836986Z 2025-03-21T20:31:49.4837512Z # 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 2025-03-21T20:31:49.4838561Z quantized_decomposed_dequantize_per_tensor_default_2457: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1824, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.4838671Z 2025-03-21T20:31:49.4839197Z # 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 2025-03-21T20:31:49.4840254Z quantized_decomposed_dequantize_per_tensor_default_2458: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1824, 3.051786916330457e-05, 32767, 0, 65535, torch.int32) 2025-03-21T20:31:49.4840377Z 2025-03-21T20:31:49.4840921Z # 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 2025-03-21T20:31:49.4842234Z quantized_decomposed_dequantize_per_tensor_default_2459: "f32[1, 1, 1, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1824, 3.051786916330457e-05, 32767, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1824 = None 2025-03-21T20:31:49.4842346Z 2025-03-21T20:31:49.4842875Z # 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 2025-03-21T20:31:49.4844210Z aten_mul_tensor_167: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2443, quantized_decomposed_dequantize_per_tensor_default_2455); quantized_decomposed_dequantize_per_tensor_default_2443 = quantized_decomposed_dequantize_per_tensor_default_2455 = None 2025-03-21T20:31:49.4845187Z quantized_decomposed_quantize_per_tensor_default_1825: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_167, 0.0003908620565198362, 30132, 0, 65535, torch.int32); aten_mul_tensor_167 = None 2025-03-21T20:31:49.4846566Z quantized_decomposed_dequantize_per_tensor_default_2460: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1825, 0.0003908620565198362, 30132, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1825 = None 2025-03-21T20:31:49.4847856Z aten_mul_tensor_168: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2444, quantized_decomposed_dequantize_per_tensor_default_2458); quantized_decomposed_dequantize_per_tensor_default_2444 = quantized_decomposed_dequantize_per_tensor_default_2458 = None 2025-03-21T20:31:49.4848852Z quantized_decomposed_quantize_per_tensor_default_1826: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_168, 0.00015990187239367515, 32711, 0, 65535, torch.int32); aten_mul_tensor_168 = None 2025-03-21T20:31:49.4850177Z quantized_decomposed_dequantize_per_tensor_default_2461: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1826, 0.00015990187239367515, 32711, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1826 = None 2025-03-21T20:31:49.4851484Z aten_sub_tensor_22: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2460, quantized_decomposed_dequantize_per_tensor_default_2461); quantized_decomposed_dequantize_per_tensor_default_2460 = quantized_decomposed_dequantize_per_tensor_default_2461 = None 2025-03-21T20:31:49.4852467Z quantized_decomposed_quantize_per_tensor_default_1827: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_22, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_sub_tensor_22 = None 2025-03-21T20:31:49.4852568Z 2025-03-21T20:31:49.4853644Z # File: .50:6310 in forward, code: dequantize_per_tensor_default_1987 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1987, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantize_per_tensor_default_1987 = None 2025-03-21T20:31:49.4854964Z quantized_decomposed_dequantize_per_tensor_default_2462: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1827, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1827 = None 2025-03-21T20:31:49.4855077Z 2025-03-21T20:31:49.4855610Z # 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 2025-03-21T20:31:49.4856910Z aten_mul_tensor_169: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2442, quantized_decomposed_dequantize_per_tensor_default_2459); quantized_decomposed_dequantize_per_tensor_default_2442 = quantized_decomposed_dequantize_per_tensor_default_2459 = None 2025-03-21T20:31:49.4857913Z quantized_decomposed_quantize_per_tensor_default_1828: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_169, 0.00018527904467191547, 30845, 0, 65535, torch.int32); aten_mul_tensor_169 = None 2025-03-21T20:31:49.4859243Z quantized_decomposed_dequantize_per_tensor_default_2463: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1828, 0.00018527904467191547, 30845, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1828 = None 2025-03-21T20:31:49.4860591Z aten_mul_tensor_170: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2445, quantized_decomposed_dequantize_per_tensor_default_2454); quantized_decomposed_dequantize_per_tensor_default_2445 = quantized_decomposed_dequantize_per_tensor_default_2454 = None 2025-03-21T20:31:49.4861590Z quantized_decomposed_quantize_per_tensor_default_1829: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_170, 0.00033935264218598604, 30930, 0, 65535, torch.int32); aten_mul_tensor_170 = None 2025-03-21T20:31:49.4862893Z quantized_decomposed_dequantize_per_tensor_default_2464: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1829, 0.00033935264218598604, 30930, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1829 = None 2025-03-21T20:31:49.4864187Z aten_add_tensor_55: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2463, quantized_decomposed_dequantize_per_tensor_default_2464); quantized_decomposed_dequantize_per_tensor_default_2463 = quantized_decomposed_dequantize_per_tensor_default_2464 = None 2025-03-21T20:31:49.4865155Z quantized_decomposed_quantize_per_tensor_default_1830: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_55, 0.0003357737441547215, 31113, 0, 65535, torch.int32); aten_add_tensor_55 = None 2025-03-21T20:31:49.4865266Z 2025-03-21T20:31:49.4866319Z # File: .50:6319 in forward, code: dequantize_per_tensor_default_1990 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1990, 0.0003357737441547215, 31113, 0, 65535, torch.int32); quantize_per_tensor_default_1990 = None 2025-03-21T20:31:49.4867825Z quantized_decomposed_dequantize_per_tensor_default_2465: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1830, 0.0003357737441547215, 31113, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1830 = None 2025-03-21T20:31:49.4867925Z 2025-03-21T20:31:49.4868531Z # 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 2025-03-21T20:31:49.4869833Z aten_mul_tensor_171: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2449, quantized_decomposed_dequantize_per_tensor_default_2453); quantized_decomposed_dequantize_per_tensor_default_2449 = quantized_decomposed_dequantize_per_tensor_default_2453 = None 2025-03-21T20:31:49.4870830Z quantized_decomposed_quantize_per_tensor_default_1831: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_171, 0.0003779088146984577, 32871, 0, 65535, torch.int32); aten_mul_tensor_171 = None 2025-03-21T20:31:49.4872142Z quantized_decomposed_dequantize_per_tensor_default_2466: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1831, 0.0003779088146984577, 32871, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1831 = None 2025-03-21T20:31:49.4873571Z aten_mul_tensor_172: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2450, quantized_decomposed_dequantize_per_tensor_default_2456); quantized_decomposed_dequantize_per_tensor_default_2450 = quantized_decomposed_dequantize_per_tensor_default_2456 = None 2025-03-21T20:31:49.4874636Z quantized_decomposed_quantize_per_tensor_default_1832: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_172, 0.00018996265134774148, 34253, 0, 65535, torch.int32); aten_mul_tensor_172 = None 2025-03-21T20:31:49.4875945Z quantized_decomposed_dequantize_per_tensor_default_2467: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1832, 0.00018996265134774148, 34253, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1832 = None 2025-03-21T20:31:49.4877248Z aten_sub_tensor_23: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_sub_Tensor(quantized_decomposed_dequantize_per_tensor_default_2466, quantized_decomposed_dequantize_per_tensor_default_2467); quantized_decomposed_dequantize_per_tensor_default_2466 = quantized_decomposed_dequantize_per_tensor_default_2467 = None 2025-03-21T20:31:49.4878224Z quantized_decomposed_quantize_per_tensor_default_1833: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sub_tensor_23, 0.00038636886165477335, 32957, 0, 65535, torch.int32); aten_sub_tensor_23 = None 2025-03-21T20:31:49.4878339Z 2025-03-21T20:31:49.4879412Z # File: .50:6328 in forward, code: dequantize_per_tensor_default_1993 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1993, 0.00038636886165477335, 32957, 0, 65535, torch.int32); quantize_per_tensor_default_1993 = None 2025-03-21T20:31:49.4880741Z quantized_decomposed_dequantize_per_tensor_default_2468: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1833, 0.00038636886165477335, 32957, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1833 = None 2025-03-21T20:31:49.4880840Z 2025-03-21T20:31:49.4881391Z # 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 2025-03-21T20:31:49.4882703Z aten_mul_tensor_173: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2448, quantized_decomposed_dequantize_per_tensor_default_2457); quantized_decomposed_dequantize_per_tensor_default_2448 = quantized_decomposed_dequantize_per_tensor_default_2457 = None 2025-03-21T20:31:49.4883702Z quantized_decomposed_quantize_per_tensor_default_1834: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_173, 0.00015066901687532663, 31607, 0, 65535, torch.int32); aten_mul_tensor_173 = None 2025-03-21T20:31:49.4885017Z quantized_decomposed_dequantize_per_tensor_default_2469: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1834, 0.00015066901687532663, 31607, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1834 = None 2025-03-21T20:31:49.4886345Z aten_mul_tensor_174: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2451, quantized_decomposed_dequantize_per_tensor_default_2452); quantized_decomposed_dequantize_per_tensor_default_2451 = quantized_decomposed_dequantize_per_tensor_default_2452 = None 2025-03-21T20:31:49.4887325Z quantized_decomposed_quantize_per_tensor_default_1835: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_174, 0.00040073951822705567, 32950, 0, 65535, torch.int32); aten_mul_tensor_174 = None 2025-03-21T20:31:49.4888710Z quantized_decomposed_dequantize_per_tensor_default_2470: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1835, 0.00040073951822705567, 32950, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1835 = None 2025-03-21T20:31:49.4890002Z aten_add_tensor_56: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2469, quantized_decomposed_dequantize_per_tensor_default_2470); quantized_decomposed_dequantize_per_tensor_default_2469 = quantized_decomposed_dequantize_per_tensor_default_2470 = None 2025-03-21T20:31:49.4890989Z quantized_decomposed_quantize_per_tensor_default_1836: "i32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_56, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_add_tensor_56 = None 2025-03-21T20:31:49.4891090Z 2025-03-21T20:31:49.4892163Z # File: .50:6337 in forward, code: dequantize_per_tensor_default_1996 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1996, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_1996 = None 2025-03-21T20:31:49.4893477Z quantized_decomposed_dequantize_per_tensor_default_2471: "f32[1, 1, 12, 32]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1836, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1836 = None 2025-03-21T20:31:49.4893587Z 2025-03-21T20:31:49.4894192Z # 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) 2025-03-21T20:31:49.4895123Z aten_unsqueeze_copy_default_124: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2462, 4); quantized_decomposed_dequantize_per_tensor_default_2462 = None 2025-03-21T20:31:49.4896031Z aten_unsqueeze_copy_default_125: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2465, 4); quantized_decomposed_dequantize_per_tensor_default_2465 = None 2025-03-21T20:31:49.4896919Z 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 2025-03-21T20:31:49.4897901Z quantized_decomposed_quantize_per_tensor_default_1837: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_44, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_cat_default_44 = None 2025-03-21T20:31:49.4899236Z quantized_decomposed_dequantize_per_tensor_default_2472: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1837, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1837 = None 2025-03-21T20:31:49.4900147Z aten_view_copy_default_205: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2472, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2472 = None 2025-03-21T20:31:49.4901182Z quantized_decomposed_quantize_per_tensor_default_1838: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_205, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_view_copy_default_205 = None 2025-03-21T20:31:49.4901319Z 2025-03-21T20:31:49.4902406Z # File: .50:6343 in forward, code: dequantize_per_tensor_default_1998 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_1998, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantize_per_tensor_default_1998 = None 2025-03-21T20:31:49.4903726Z quantized_decomposed_dequantize_per_tensor_default_2473: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1838, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1838 = None 2025-03-21T20:31:49.4903823Z 2025-03-21T20:31:49.4904405Z # 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) 2025-03-21T20:31:49.4905339Z aten_unsqueeze_copy_default_126: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2468, 4); quantized_decomposed_dequantize_per_tensor_default_2468 = None 2025-03-21T20:31:49.4906263Z aten_unsqueeze_copy_default_127: "f32[1, 1, 12, 32, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2471, 4); quantized_decomposed_dequantize_per_tensor_default_2471 = None 2025-03-21T20:31:49.4907118Z 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 2025-03-21T20:31:49.4908117Z quantized_decomposed_quantize_per_tensor_default_1839: "i32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_45, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_cat_default_45 = None 2025-03-21T20:31:49.4909434Z quantized_decomposed_dequantize_per_tensor_default_2474: "f32[1, 1, 12, 32, 2]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1839, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1839 = None 2025-03-21T20:31:49.4910345Z aten_view_copy_default_206: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2474, [1, 1, 12, 64]); quantized_decomposed_dequantize_per_tensor_default_2474 = None 2025-03-21T20:31:49.4911376Z quantized_decomposed_quantize_per_tensor_default_1840: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_206, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_view_copy_default_206 = None 2025-03-21T20:31:49.4911493Z 2025-03-21T20:31:49.4912550Z # File: .50:6349 in forward, code: dequantize_per_tensor_default_2000 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2000, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2000 = None 2025-03-21T20:31:49.4913976Z quantized_decomposed_dequantize_per_tensor_default_2475: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1840, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1840 = None 2025-03-21T20:31:49.4914103Z 2025-03-21T20:31:49.4914968Z # File: .50:6351 in forward, code: quantize_per_tensor_default_2001 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_22, 0.0003872470697388053, 30395, 0, 65535, torch.int32); type_as_22 = None 2025-03-21T20:31:49.4916294Z quantized_decomposed_quantize_per_tensor_default_1841: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2473, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2473 = None 2025-03-21T20:31:49.4916410Z 2025-03-21T20:31:49.4917000Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.4918322Z quantized_decomposed_dequantize_per_tensor_default_2476: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1841, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1841 = None 2025-03-21T20:31:49.4918423Z 2025-03-21T20:31:49.4919284Z # File: .50:6354 in forward, code: quantize_per_tensor_default_2002 = torch.ops.quantized_decomposed.quantize_per_tensor.default(type_as_23, 0.0004016910679638386, 33587, 0, 65535, torch.int32); type_as_23 = None 2025-03-21T20:31:49.4920593Z quantized_decomposed_quantize_per_tensor_default_1842: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2475, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_dequantize_per_tensor_default_2475 = None 2025-03-21T20:31:49.4920705Z 2025-03-21T20:31:49.4921449Z # 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) 2025-03-21T20:31:49.4922782Z quantized_decomposed_dequantize_per_tensor_default_2477: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1842, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1842 = None 2025-03-21T20:31:49.4922880Z 2025-03-21T20:31:49.4923503Z # File: /pytorch/executorch/examples/models/llama/attention.py:249 in forward, code: q = q.transpose(1, 2) # (bs, n_local_heads, seqlen, head_dim) 2025-03-21T20:31:49.4924439Z aten_permute_copy_default_457: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2476, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2476 = None 2025-03-21T20:31:49.4925524Z quantized_decomposed_quantize_per_tensor_default_1843: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_457, 0.0003872470697388053, 30395, 0, 65535, torch.int32); aten_permute_copy_default_457 = None 2025-03-21T20:31:49.4925623Z 2025-03-21T20:31:49.4926269Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.4927623Z quantized_decomposed_dequantize_per_tensor_default_2478: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1843, 0.0003872470697388053, 30395, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1843 = None 2025-03-21T20:31:49.4927785Z 2025-03-21T20:31:49.4928549Z # 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) 2025-03-21T20:31:49.4930039Z aten_index_put_default_22: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_146, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2477); quantized_decomposed_dequantize_per_tensor_default_146 = quantized_decomposed_dequantize_per_tensor_default_2477 = None 2025-03-21T20:31:49.4931087Z quantized_decomposed_quantize_per_tensor_default_1844: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_22, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_index_put_default_22 = None 2025-03-21T20:31:49.4931187Z 2025-03-21T20:31:49.4932107Z # File: .50:6361 in forward, code: dequantize_per_tensor_default_2004 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2004, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4933166Z quantized_decomposed_dequantize_per_tensor_default_2479: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4933283Z 2025-03-21T20:31:49.4934004Z # 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) 2025-03-21T20:31:49.4935073Z quantized_decomposed_dequantize_per_tensor_default_2480: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4936120Z quantized_decomposed_dequantize_per_tensor_default_2481: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4937209Z quantized_decomposed_dequantize_per_tensor_default_2482: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4938263Z quantized_decomposed_dequantize_per_tensor_default_2483: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4939325Z quantized_decomposed_dequantize_per_tensor_default_2484: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4940396Z quantized_decomposed_dequantize_per_tensor_default_2485: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4941472Z quantized_decomposed_dequantize_per_tensor_default_2486: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4942573Z quantized_decomposed_dequantize_per_tensor_default_2487: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4943642Z quantized_decomposed_dequantize_per_tensor_default_2488: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4944707Z quantized_decomposed_dequantize_per_tensor_default_2489: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4945761Z quantized_decomposed_dequantize_per_tensor_default_2490: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32) 2025-03-21T20:31:49.4947106Z quantized_decomposed_dequantize_per_tensor_default_2491: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1844, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1844 = None 2025-03-21T20:31:49.4947208Z 2025-03-21T20:31:49.4947976Z # 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) 2025-03-21T20:31:49.4949450Z aten_index_put_default_23: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_aten_index_put_default(quantized_decomposed_dequantize_per_tensor_default_147, [None, attn_options_input_pos], quantized_decomposed_dequantize_per_tensor_default_2439); quantized_decomposed_dequantize_per_tensor_default_147 = quantized_decomposed_dequantize_per_tensor_default_2439 = None 2025-03-21T20:31:49.4950507Z quantized_decomposed_quantize_per_tensor_default_1845: "i32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_put_default_23, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_index_put_default_23 = None 2025-03-21T20:31:49.4950611Z 2025-03-21T20:31:49.4951547Z # File: .50:6376 in forward, code: dequantize_per_tensor_default_2005 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2005, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4952603Z quantized_decomposed_dequantize_per_tensor_default_2492: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4952718Z 2025-03-21T20:31:49.4953517Z # 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) 2025-03-21T20:31:49.4954589Z quantized_decomposed_dequantize_per_tensor_default_2493: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4955672Z quantized_decomposed_dequantize_per_tensor_default_2494: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4956769Z quantized_decomposed_dequantize_per_tensor_default_2495: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4957839Z quantized_decomposed_dequantize_per_tensor_default_2496: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4958913Z quantized_decomposed_dequantize_per_tensor_default_2497: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4959970Z quantized_decomposed_dequantize_per_tensor_default_2498: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4961035Z quantized_decomposed_dequantize_per_tensor_default_2499: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4962083Z quantized_decomposed_dequantize_per_tensor_default_2500: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4963136Z quantized_decomposed_dequantize_per_tensor_default_2501: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4964196Z quantized_decomposed_dequantize_per_tensor_default_2502: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4965263Z quantized_decomposed_dequantize_per_tensor_default_2503: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32) 2025-03-21T20:31:49.4966807Z quantized_decomposed_dequantize_per_tensor_default_2504: "f32[1, 128, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1845, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1845 = None 2025-03-21T20:31:49.4966907Z 2025-03-21T20:31:49.4967637Z # 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) 2025-03-21T20:31:49.4968618Z aten_permute_copy_default_458: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2491, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2491 = None 2025-03-21T20:31:49.4969699Z quantized_decomposed_quantize_per_tensor_default_1846: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_458, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_458 = None 2025-03-21T20:31:49.4971100Z quantized_decomposed_dequantize_per_tensor_default_2505: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1846, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1846 = None 2025-03-21T20:31:49.4971966Z aten_select_copy_int_528: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2505, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2505 = None 2025-03-21T20:31:49.4972989Z quantized_decomposed_quantize_per_tensor_default_1847: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_528, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_528 = None 2025-03-21T20:31:49.4974323Z quantized_decomposed_dequantize_per_tensor_default_2506: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1847, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1847 = None 2025-03-21T20:31:49.4975160Z aten_select_copy_int_529: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2506, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2506 = None 2025-03-21T20:31:49.4976198Z quantized_decomposed_quantize_per_tensor_default_1848: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_529, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_529 = None 2025-03-21T20:31:49.4976295Z 2025-03-21T20:31:49.4977363Z # File: .50:6397 in forward, code: dequantize_per_tensor_default_2008 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2008, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2008 = None 2025-03-21T20:31:49.4978667Z quantized_decomposed_dequantize_per_tensor_default_2507: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1848, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1848 = None 2025-03-21T20:31:49.4978814Z 2025-03-21T20:31:49.4979532Z # 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) 2025-03-21T20:31:49.4980462Z aten_permute_copy_default_459: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2490, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2490 = None 2025-03-21T20:31:49.4981540Z quantized_decomposed_quantize_per_tensor_default_1849: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_459, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_459 = None 2025-03-21T20:31:49.4982894Z quantized_decomposed_dequantize_per_tensor_default_2508: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1849, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1849 = None 2025-03-21T20:31:49.4983734Z aten_select_copy_int_530: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2508, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2508 = None 2025-03-21T20:31:49.4984818Z quantized_decomposed_quantize_per_tensor_default_1850: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_530, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_530 = None 2025-03-21T20:31:49.4986139Z quantized_decomposed_dequantize_per_tensor_default_2509: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1850, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1850 = None 2025-03-21T20:31:49.4986992Z aten_select_copy_int_531: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2509, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2509 = None 2025-03-21T20:31:49.4988028Z quantized_decomposed_quantize_per_tensor_default_1851: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_531, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_531 = None 2025-03-21T20:31:49.4988133Z 2025-03-21T20:31:49.4989198Z # File: .50:6406 in forward, code: dequantize_per_tensor_default_2011 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2011, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2011 = None 2025-03-21T20:31:49.4990529Z quantized_decomposed_dequantize_per_tensor_default_2510: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1851, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1851 = None 2025-03-21T20:31:49.4990628Z 2025-03-21T20:31:49.4991356Z # 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) 2025-03-21T20:31:49.4992269Z aten_permute_copy_default_460: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2489, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2489 = None 2025-03-21T20:31:49.4993452Z quantized_decomposed_quantize_per_tensor_default_1852: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_460, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_460 = None 2025-03-21T20:31:49.4994790Z quantized_decomposed_dequantize_per_tensor_default_2511: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1852, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1852 = None 2025-03-21T20:31:49.4995642Z aten_select_copy_int_532: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2511, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2511 = None 2025-03-21T20:31:49.4996706Z quantized_decomposed_quantize_per_tensor_default_1853: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_532, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_532 = None 2025-03-21T20:31:49.4998018Z quantized_decomposed_dequantize_per_tensor_default_2512: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1853, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1853 = None 2025-03-21T20:31:49.4999303Z aten_select_copy_int_533: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2512, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2512 = None 2025-03-21T20:31:49.5000321Z quantized_decomposed_quantize_per_tensor_default_1854: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_533, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_533 = None 2025-03-21T20:31:49.5000436Z 2025-03-21T20:31:49.5001499Z # File: .50:6415 in forward, code: dequantize_per_tensor_default_2014 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2014, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2014 = None 2025-03-21T20:31:49.5002820Z quantized_decomposed_dequantize_per_tensor_default_2513: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1854, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1854 = None 2025-03-21T20:31:49.5002921Z 2025-03-21T20:31:49.5003654Z # 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) 2025-03-21T20:31:49.5004569Z aten_permute_copy_default_461: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2488, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2488 = None 2025-03-21T20:31:49.5005659Z quantized_decomposed_quantize_per_tensor_default_1855: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_461, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_461 = None 2025-03-21T20:31:49.5007012Z quantized_decomposed_dequantize_per_tensor_default_2514: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1855, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1855 = None 2025-03-21T20:31:49.5007879Z aten_select_copy_int_534: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2514, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2514 = None 2025-03-21T20:31:49.5008897Z quantized_decomposed_quantize_per_tensor_default_1856: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_534, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_534 = None 2025-03-21T20:31:49.5010219Z quantized_decomposed_dequantize_per_tensor_default_2515: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1856, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1856 = None 2025-03-21T20:31:49.5011078Z aten_select_copy_int_535: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2515, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2515 = None 2025-03-21T20:31:49.5012160Z quantized_decomposed_quantize_per_tensor_default_1857: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_535, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_535 = None 2025-03-21T20:31:49.5012257Z 2025-03-21T20:31:49.5013347Z # File: .50:6424 in forward, code: dequantize_per_tensor_default_2017 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2017, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2017 = None 2025-03-21T20:31:49.5014666Z quantized_decomposed_dequantize_per_tensor_default_2516: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1857, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1857 = None 2025-03-21T20:31:49.5014778Z 2025-03-21T20:31:49.5015495Z # 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) 2025-03-21T20:31:49.5016419Z aten_permute_copy_default_462: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2487, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2487 = None 2025-03-21T20:31:49.5017502Z quantized_decomposed_quantize_per_tensor_default_1858: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_462, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_462 = None 2025-03-21T20:31:49.5018841Z quantized_decomposed_dequantize_per_tensor_default_2517: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1858, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1858 = None 2025-03-21T20:31:49.5019690Z aten_select_copy_int_536: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2517, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2517 = None 2025-03-21T20:31:49.5020744Z quantized_decomposed_quantize_per_tensor_default_1859: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_536, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_536 = None 2025-03-21T20:31:49.5022068Z quantized_decomposed_dequantize_per_tensor_default_2518: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1859, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1859 = None 2025-03-21T20:31:49.5022908Z aten_select_copy_int_537: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2518, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2518 = None 2025-03-21T20:31:49.5023939Z quantized_decomposed_quantize_per_tensor_default_1860: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_537, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_537 = None 2025-03-21T20:31:49.5024060Z 2025-03-21T20:31:49.5025134Z # File: .50:6433 in forward, code: dequantize_per_tensor_default_2020 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2020, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2020 = None 2025-03-21T20:31:49.5026518Z quantized_decomposed_dequantize_per_tensor_default_2519: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1860, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1860 = None 2025-03-21T20:31:49.5026631Z 2025-03-21T20:31:49.5027348Z # 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) 2025-03-21T20:31:49.5028275Z aten_permute_copy_default_463: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2486, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2486 = None 2025-03-21T20:31:49.5029353Z quantized_decomposed_quantize_per_tensor_default_1861: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_463, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_463 = None 2025-03-21T20:31:49.5030676Z quantized_decomposed_dequantize_per_tensor_default_2520: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1861, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1861 = None 2025-03-21T20:31:49.5031528Z aten_select_copy_int_538: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2520, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2520 = None 2025-03-21T20:31:49.5032552Z quantized_decomposed_quantize_per_tensor_default_1862: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_538, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_538 = None 2025-03-21T20:31:49.5033970Z quantized_decomposed_dequantize_per_tensor_default_2521: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1862, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1862 = None 2025-03-21T20:31:49.5034859Z aten_select_copy_int_539: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2521, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2521 = None 2025-03-21T20:31:49.5035870Z quantized_decomposed_quantize_per_tensor_default_1863: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_539, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_539 = None 2025-03-21T20:31:49.5035987Z 2025-03-21T20:31:49.5037050Z # File: .50:6442 in forward, code: dequantize_per_tensor_default_2023 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2023, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2023 = None 2025-03-21T20:31:49.5038411Z quantized_decomposed_dequantize_per_tensor_default_2522: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1863, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1863 = None 2025-03-21T20:31:49.5038511Z 2025-03-21T20:31:49.5039238Z # 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) 2025-03-21T20:31:49.5040202Z aten_permute_copy_default_464: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2485, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2485 = None 2025-03-21T20:31:49.5041293Z quantized_decomposed_quantize_per_tensor_default_1864: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_464, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_464 = None 2025-03-21T20:31:49.5042608Z quantized_decomposed_dequantize_per_tensor_default_2523: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1864, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1864 = None 2025-03-21T20:31:49.5043466Z aten_select_copy_int_540: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2523, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2523 = None 2025-03-21T20:31:49.5044483Z quantized_decomposed_quantize_per_tensor_default_1865: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_540, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_540 = None 2025-03-21T20:31:49.5045817Z quantized_decomposed_dequantize_per_tensor_default_2524: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1865, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1865 = None 2025-03-21T20:31:49.5046652Z aten_select_copy_int_541: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2524, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2524 = None 2025-03-21T20:31:49.5047676Z quantized_decomposed_quantize_per_tensor_default_1866: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_541, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_541 = None 2025-03-21T20:31:49.5047775Z 2025-03-21T20:31:49.5048877Z # File: .50:6451 in forward, code: dequantize_per_tensor_default_2026 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2026, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2026 = None 2025-03-21T20:31:49.5050194Z quantized_decomposed_dequantize_per_tensor_default_2525: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1866, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1866 = None 2025-03-21T20:31:49.5050308Z 2025-03-21T20:31:49.5051024Z # 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) 2025-03-21T20:31:49.5051979Z aten_permute_copy_default_465: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2484, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2484 = None 2025-03-21T20:31:49.5053056Z quantized_decomposed_quantize_per_tensor_default_1867: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_465, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_465 = None 2025-03-21T20:31:49.5054451Z quantized_decomposed_dequantize_per_tensor_default_2526: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1867, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1867 = None 2025-03-21T20:31:49.5055314Z aten_select_copy_int_542: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2526, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2526 = None 2025-03-21T20:31:49.5056335Z quantized_decomposed_quantize_per_tensor_default_1868: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_542, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_542 = None 2025-03-21T20:31:49.5057661Z quantized_decomposed_dequantize_per_tensor_default_2527: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1868, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1868 = None 2025-03-21T20:31:49.5058498Z aten_select_copy_int_543: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2527, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2527 = None 2025-03-21T20:31:49.5059520Z quantized_decomposed_quantize_per_tensor_default_1869: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_543, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_543 = None 2025-03-21T20:31:49.5059626Z 2025-03-21T20:31:49.5060704Z # File: .50:6460 in forward, code: dequantize_per_tensor_default_2029 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2029, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2029 = None 2025-03-21T20:31:49.5062034Z quantized_decomposed_dequantize_per_tensor_default_2528: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1869, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1869 = None 2025-03-21T20:31:49.5062151Z 2025-03-21T20:31:49.5062867Z # 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) 2025-03-21T20:31:49.5063796Z aten_permute_copy_default_466: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2483, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2483 = None 2025-03-21T20:31:49.5064868Z quantized_decomposed_quantize_per_tensor_default_1870: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_466, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_466 = None 2025-03-21T20:31:49.5066223Z quantized_decomposed_dequantize_per_tensor_default_2529: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1870, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1870 = None 2025-03-21T20:31:49.5067274Z aten_select_copy_int_544: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2529, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2529 = None 2025-03-21T20:31:49.5068364Z quantized_decomposed_quantize_per_tensor_default_1871: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_544, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_544 = None 2025-03-21T20:31:49.5069690Z quantized_decomposed_dequantize_per_tensor_default_2530: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1871, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1871 = None 2025-03-21T20:31:49.5070543Z aten_select_copy_int_545: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2530, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2530 = None 2025-03-21T20:31:49.5071559Z quantized_decomposed_quantize_per_tensor_default_1872: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_545, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_545 = None 2025-03-21T20:31:49.5071674Z 2025-03-21T20:31:49.5072737Z # File: .50:6469 in forward, code: dequantize_per_tensor_default_2032 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2032, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2032 = None 2025-03-21T20:31:49.5074135Z quantized_decomposed_dequantize_per_tensor_default_2531: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1872, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1872 = None 2025-03-21T20:31:49.5074236Z 2025-03-21T20:31:49.5074968Z # 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) 2025-03-21T20:31:49.5075916Z aten_permute_copy_default_467: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2482, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2482 = None 2025-03-21T20:31:49.5077010Z quantized_decomposed_quantize_per_tensor_default_1873: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_467, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_467 = None 2025-03-21T20:31:49.5078342Z quantized_decomposed_dequantize_per_tensor_default_2532: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1873, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1873 = None 2025-03-21T20:31:49.5079250Z aten_select_copy_int_546: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2532, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2532 = None 2025-03-21T20:31:49.5080262Z quantized_decomposed_quantize_per_tensor_default_1874: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_546, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_546 = None 2025-03-21T20:31:49.5081635Z quantized_decomposed_dequantize_per_tensor_default_2533: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1874, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1874 = None 2025-03-21T20:31:49.5082519Z aten_select_copy_int_547: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2533, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2533 = None 2025-03-21T20:31:49.5083538Z quantized_decomposed_quantize_per_tensor_default_1875: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_547, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_547 = None 2025-03-21T20:31:49.5083650Z 2025-03-21T20:31:49.5084703Z # File: .50:6478 in forward, code: dequantize_per_tensor_default_2035 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2035, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2035 = None 2025-03-21T20:31:49.5086040Z quantized_decomposed_dequantize_per_tensor_default_2534: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1875, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1875 = None 2025-03-21T20:31:49.5086141Z 2025-03-21T20:31:49.5086864Z # 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) 2025-03-21T20:31:49.5087794Z aten_permute_copy_default_468: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2481, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2481 = None 2025-03-21T20:31:49.5088872Z quantized_decomposed_quantize_per_tensor_default_1876: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_468, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_468 = None 2025-03-21T20:31:49.5090234Z quantized_decomposed_dequantize_per_tensor_default_2535: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1876, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1876 = None 2025-03-21T20:31:49.5091088Z aten_select_copy_int_548: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2535, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2535 = None 2025-03-21T20:31:49.5092115Z quantized_decomposed_quantize_per_tensor_default_1877: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_548, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_548 = None 2025-03-21T20:31:49.5093489Z quantized_decomposed_dequantize_per_tensor_default_2536: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1877, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1877 = None 2025-03-21T20:31:49.5094328Z aten_select_copy_int_549: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2536, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2536 = None 2025-03-21T20:31:49.5095378Z quantized_decomposed_quantize_per_tensor_default_1878: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_549, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_549 = None 2025-03-21T20:31:49.5095502Z 2025-03-21T20:31:49.5096585Z # File: .50:6487 in forward, code: dequantize_per_tensor_default_2038 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2038, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2038 = None 2025-03-21T20:31:49.5097896Z quantized_decomposed_dequantize_per_tensor_default_2537: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1878, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1878 = None 2025-03-21T20:31:49.5098016Z 2025-03-21T20:31:49.5098733Z # 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) 2025-03-21T20:31:49.5099672Z aten_permute_copy_default_469: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2480, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2480 = None 2025-03-21T20:31:49.5100739Z quantized_decomposed_quantize_per_tensor_default_1879: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_469, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_469 = None 2025-03-21T20:31:49.5102070Z quantized_decomposed_dequantize_per_tensor_default_2538: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1879, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1879 = None 2025-03-21T20:31:49.5102914Z aten_select_copy_int_550: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2538, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2538 = None 2025-03-21T20:31:49.5103974Z quantized_decomposed_quantize_per_tensor_default_1880: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_550, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_550 = None 2025-03-21T20:31:49.5105294Z quantized_decomposed_dequantize_per_tensor_default_2539: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1880, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1880 = None 2025-03-21T20:31:49.5106154Z aten_select_copy_int_551: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2539, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2539 = None 2025-03-21T20:31:49.5107189Z quantized_decomposed_quantize_per_tensor_default_1881: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_551, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_select_copy_int_551 = None 2025-03-21T20:31:49.5107301Z 2025-03-21T20:31:49.5108355Z # File: .50:6496 in forward, code: dequantize_per_tensor_default_2041 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2041, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2041 = None 2025-03-21T20:31:49.5109739Z quantized_decomposed_dequantize_per_tensor_default_2540: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1881, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1881 = None 2025-03-21T20:31:49.5109841Z 2025-03-21T20:31:49.5110573Z # 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) 2025-03-21T20:31:49.5116947Z aten_cat_default_46: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2507, quantized_decomposed_dequantize_per_tensor_default_2510, quantized_decomposed_dequantize_per_tensor_default_2513, quantized_decomposed_dequantize_per_tensor_default_2516, quantized_decomposed_dequantize_per_tensor_default_2519, quantized_decomposed_dequantize_per_tensor_default_2522, quantized_decomposed_dequantize_per_tensor_default_2525, quantized_decomposed_dequantize_per_tensor_default_2528, quantized_decomposed_dequantize_per_tensor_default_2531, quantized_decomposed_dequantize_per_tensor_default_2534, quantized_decomposed_dequantize_per_tensor_default_2537, quantized_decomposed_dequantize_per_tensor_default_2540]); quantized_decomposed_dequantize_per_tensor_default_2507 = quantized_decomposed_dequantize_per_tensor_default_2510 = quantized_decomposed_dequantize_per_tensor_default_2513 = quantized_decomposed_dequantize_per_tensor_default_2516 = quantized_decomposed_dequantize_per_tensor_default_2519 = quantized_decomposed_dequantize_per_tensor_default_2522 = quantized_decomposed_dequantize_per_tensor_default_2525 = quantized_decomposed_dequantize_per_tensor_default_2528 = quantized_decomposed_dequantize_per_tensor_default_2531 = quantized_decomposed_dequantize_per_tensor_default_2534 = quantized_decomposed_dequantize_per_tensor_default_2537 = quantized_decomposed_dequantize_per_tensor_default_2540 = None 2025-03-21T20:31:49.5117951Z quantized_decomposed_quantize_per_tensor_default_1882: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_46, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_cat_default_46 = None 2025-03-21T20:31:49.5119312Z quantized_decomposed_dequantize_per_tensor_default_2541: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1882, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1882 = None 2025-03-21T20:31:49.5120217Z aten_view_copy_default_207: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2541, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2541 = None 2025-03-21T20:31:49.5121267Z quantized_decomposed_quantize_per_tensor_default_1883: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_207, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_view_copy_default_207 = None 2025-03-21T20:31:49.5121405Z 2025-03-21T20:31:49.5122064Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.5123400Z quantized_decomposed_dequantize_per_tensor_default_2542: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1883, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1883 = None 2025-03-21T20:31:49.5123522Z 2025-03-21T20:31:49.5124260Z # 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) 2025-03-21T20:31:49.5125195Z aten_permute_copy_default_470: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2504, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2504 = None 2025-03-21T20:31:49.5126268Z quantized_decomposed_quantize_per_tensor_default_1884: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_470, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_470 = None 2025-03-21T20:31:49.5127601Z quantized_decomposed_dequantize_per_tensor_default_2543: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1884, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1884 = None 2025-03-21T20:31:49.5128452Z aten_select_copy_int_552: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2543, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2543 = None 2025-03-21T20:31:49.5129481Z quantized_decomposed_quantize_per_tensor_default_1885: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_552, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_552 = None 2025-03-21T20:31:49.5130808Z quantized_decomposed_dequantize_per_tensor_default_2544: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1885, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1885 = None 2025-03-21T20:31:49.5131648Z aten_select_copy_int_553: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2544, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2544 = None 2025-03-21T20:31:49.5132714Z quantized_decomposed_quantize_per_tensor_default_1886: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_553, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_553 = None 2025-03-21T20:31:49.5132812Z 2025-03-21T20:31:49.5133880Z # File: .50:6511 in forward, code: dequantize_per_tensor_default_2046 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2046, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2046 = None 2025-03-21T20:31:49.5135190Z quantized_decomposed_dequantize_per_tensor_default_2545: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1886, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1886 = None 2025-03-21T20:31:49.5135325Z 2025-03-21T20:31:49.5136044Z # 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) 2025-03-21T20:31:49.5136974Z aten_permute_copy_default_471: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2503, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2503 = None 2025-03-21T20:31:49.5138093Z quantized_decomposed_quantize_per_tensor_default_1887: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_471, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_471 = None 2025-03-21T20:31:49.5139422Z quantized_decomposed_dequantize_per_tensor_default_2546: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1887, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1887 = None 2025-03-21T20:31:49.5140262Z aten_select_copy_int_554: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2546, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2546 = None 2025-03-21T20:31:49.5141295Z quantized_decomposed_quantize_per_tensor_default_1888: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_554, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_554 = None 2025-03-21T20:31:49.5142608Z quantized_decomposed_dequantize_per_tensor_default_2547: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1888, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1888 = None 2025-03-21T20:31:49.5143464Z aten_select_copy_int_555: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2547, 0, 1); quantized_decomposed_dequantize_per_tensor_default_2547 = None 2025-03-21T20:31:49.5144479Z quantized_decomposed_quantize_per_tensor_default_1889: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_555, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_555 = None 2025-03-21T20:31:49.5144592Z 2025-03-21T20:31:49.5145677Z # File: .50:6520 in forward, code: dequantize_per_tensor_default_2049 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2049, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2049 = None 2025-03-21T20:31:49.5147013Z quantized_decomposed_dequantize_per_tensor_default_2548: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1889, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1889 = None 2025-03-21T20:31:49.5147111Z 2025-03-21T20:31:49.5147843Z # 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) 2025-03-21T20:31:49.5148757Z aten_permute_copy_default_472: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2502, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2502 = None 2025-03-21T20:31:49.5149917Z quantized_decomposed_quantize_per_tensor_default_1890: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_472, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_472 = None 2025-03-21T20:31:49.5151237Z quantized_decomposed_dequantize_per_tensor_default_2549: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1890, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1890 = None 2025-03-21T20:31:49.5152140Z aten_select_copy_int_556: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2549, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2549 = None 2025-03-21T20:31:49.5153278Z quantized_decomposed_quantize_per_tensor_default_1891: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_556, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_556 = None 2025-03-21T20:31:49.5154604Z quantized_decomposed_dequantize_per_tensor_default_2550: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1891, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1891 = None 2025-03-21T20:31:49.5155454Z aten_select_copy_int_557: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2550, 0, 2); quantized_decomposed_dequantize_per_tensor_default_2550 = None 2025-03-21T20:31:49.5156472Z quantized_decomposed_quantize_per_tensor_default_1892: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_557, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_557 = None 2025-03-21T20:31:49.5156586Z 2025-03-21T20:31:49.5157649Z # File: .50:6529 in forward, code: dequantize_per_tensor_default_2052 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2052, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2052 = None 2025-03-21T20:31:49.5158981Z quantized_decomposed_dequantize_per_tensor_default_2551: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1892, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1892 = None 2025-03-21T20:31:49.5159083Z 2025-03-21T20:31:49.5159852Z # 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) 2025-03-21T20:31:49.5160764Z aten_permute_copy_default_473: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2501, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2501 = None 2025-03-21T20:31:49.5161856Z quantized_decomposed_quantize_per_tensor_default_1893: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_473, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_473 = None 2025-03-21T20:31:49.5163179Z quantized_decomposed_dequantize_per_tensor_default_2552: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1893, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1893 = None 2025-03-21T20:31:49.5164066Z aten_select_copy_int_558: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2552, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2552 = None 2025-03-21T20:31:49.5165121Z quantized_decomposed_quantize_per_tensor_default_1894: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_558, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_558 = None 2025-03-21T20:31:49.5166475Z quantized_decomposed_dequantize_per_tensor_default_2553: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1894, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1894 = None 2025-03-21T20:31:49.5167487Z aten_select_copy_int_559: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2553, 0, 3); quantized_decomposed_dequantize_per_tensor_default_2553 = None 2025-03-21T20:31:49.5168523Z quantized_decomposed_quantize_per_tensor_default_1895: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_559, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_559 = None 2025-03-21T20:31:49.5168624Z 2025-03-21T20:31:49.5169703Z # File: .50:6538 in forward, code: dequantize_per_tensor_default_2055 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2055, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2055 = None 2025-03-21T20:31:49.5171020Z quantized_decomposed_dequantize_per_tensor_default_2554: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1895, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1895 = None 2025-03-21T20:31:49.5171135Z 2025-03-21T20:31:49.5171855Z # 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) 2025-03-21T20:31:49.5172784Z aten_permute_copy_default_474: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2500, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2500 = None 2025-03-21T20:31:49.5173916Z quantized_decomposed_quantize_per_tensor_default_1896: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_474, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_474 = None 2025-03-21T20:31:49.5175255Z quantized_decomposed_dequantize_per_tensor_default_2555: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1896, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1896 = None 2025-03-21T20:31:49.5176094Z aten_select_copy_int_560: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2555, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2555 = None 2025-03-21T20:31:49.5177166Z quantized_decomposed_quantize_per_tensor_default_1897: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_560, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_560 = None 2025-03-21T20:31:49.5178478Z quantized_decomposed_dequantize_per_tensor_default_2556: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1897, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1897 = None 2025-03-21T20:31:49.5179372Z aten_select_copy_int_561: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2556, 0, 4); quantized_decomposed_dequantize_per_tensor_default_2556 = None 2025-03-21T20:31:49.5180427Z quantized_decomposed_quantize_per_tensor_default_1898: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_561, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_561 = None 2025-03-21T20:31:49.5180545Z 2025-03-21T20:31:49.5181599Z # File: .50:6547 in forward, code: dequantize_per_tensor_default_2058 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2058, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2058 = None 2025-03-21T20:31:49.5182929Z quantized_decomposed_dequantize_per_tensor_default_2557: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1898, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1898 = None 2025-03-21T20:31:49.5183028Z 2025-03-21T20:31:49.5183761Z # 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) 2025-03-21T20:31:49.5184679Z aten_permute_copy_default_475: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2499, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2499 = None 2025-03-21T20:31:49.5185774Z quantized_decomposed_quantize_per_tensor_default_1899: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_475, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_475 = None 2025-03-21T20:31:49.5187105Z quantized_decomposed_dequantize_per_tensor_default_2558: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1899, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1899 = None 2025-03-21T20:31:49.5187973Z aten_select_copy_int_562: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2558, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2558 = None 2025-03-21T20:31:49.5189003Z quantized_decomposed_quantize_per_tensor_default_1900: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_562, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_562 = None 2025-03-21T20:31:49.5190315Z quantized_decomposed_dequantize_per_tensor_default_2559: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1900, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1900 = None 2025-03-21T20:31:49.5191193Z aten_select_copy_int_563: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2559, 0, 5); quantized_decomposed_dequantize_per_tensor_default_2559 = None 2025-03-21T20:31:49.5193325Z quantized_decomposed_quantize_per_tensor_default_1901: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_563, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_563 = None 2025-03-21T20:31:49.5194611Z 2025-03-21T20:31:49.5195843Z # File: .50:6556 in forward, code: dequantize_per_tensor_default_2061 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2061, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2061 = None 2025-03-21T20:31:49.5198360Z quantized_decomposed_dequantize_per_tensor_default_2560: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1901, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1901 = None 2025-03-21T20:31:49.5199918Z 2025-03-21T20:31:49.5200801Z # 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) 2025-03-21T20:31:49.5202590Z aten_permute_copy_default_476: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2498, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2498 = None 2025-03-21T20:31:49.5204772Z quantized_decomposed_quantize_per_tensor_default_1902: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_476, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_476 = None 2025-03-21T20:31:49.5207314Z quantized_decomposed_dequantize_per_tensor_default_2561: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1902, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1902 = None 2025-03-21T20:31:49.5209647Z aten_select_copy_int_564: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2561, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2561 = None 2025-03-21T20:31:49.5211664Z quantized_decomposed_quantize_per_tensor_default_1903: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_564, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_564 = None 2025-03-21T20:31:49.5214219Z quantized_decomposed_dequantize_per_tensor_default_2562: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1903, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1903 = None 2025-03-21T20:31:49.5216506Z aten_select_copy_int_565: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2562, 0, 6); quantized_decomposed_dequantize_per_tensor_default_2562 = None 2025-03-21T20:31:49.5218505Z quantized_decomposed_quantize_per_tensor_default_1904: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_565, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_565 = None 2025-03-21T20:31:49.5219914Z 2025-03-21T20:31:49.5226982Z # File: .50:6565 in forward, code: dequantize_per_tensor_default_2064 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2064, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2064 = None 2025-03-21T20:31:49.5229530Z quantized_decomposed_dequantize_per_tensor_default_2563: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1904, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1904 = None 2025-03-21T20:31:49.5231188Z 2025-03-21T20:31:49.5232116Z # 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) 2025-03-21T20:31:49.5234033Z aten_permute_copy_default_477: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2497, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2497 = None 2025-03-21T20:31:49.5236156Z quantized_decomposed_quantize_per_tensor_default_1905: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_477, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_477 = None 2025-03-21T20:31:49.5238700Z quantized_decomposed_dequantize_per_tensor_default_2564: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1905, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1905 = None 2025-03-21T20:31:49.5240997Z aten_select_copy_int_566: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2564, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2564 = None 2025-03-21T20:31:49.5242991Z quantized_decomposed_quantize_per_tensor_default_1906: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_566, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_566 = None 2025-03-21T20:31:49.5245470Z quantized_decomposed_dequantize_per_tensor_default_2565: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1906, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1906 = None 2025-03-21T20:31:49.5247807Z aten_select_copy_int_567: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2565, 0, 7); quantized_decomposed_dequantize_per_tensor_default_2565 = None 2025-03-21T20:31:49.5249802Z quantized_decomposed_quantize_per_tensor_default_1907: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_567, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_567 = None 2025-03-21T20:31:49.5251040Z 2025-03-21T20:31:49.5252267Z # File: .50:6574 in forward, code: dequantize_per_tensor_default_2067 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2067, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2067 = None 2025-03-21T20:31:49.5254781Z quantized_decomposed_dequantize_per_tensor_default_2566: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1907, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1907 = None 2025-03-21T20:31:49.5256359Z 2025-03-21T20:31:49.5257230Z # 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) 2025-03-21T20:31:49.5259028Z aten_permute_copy_default_478: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2496, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2496 = None 2025-03-21T20:31:49.5261190Z quantized_decomposed_quantize_per_tensor_default_1908: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_478, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_478 = None 2025-03-21T20:31:49.5263718Z quantized_decomposed_dequantize_per_tensor_default_2567: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1908, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1908 = None 2025-03-21T20:31:49.5265999Z aten_select_copy_int_568: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2567, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2567 = None 2025-03-21T20:31:49.5268209Z quantized_decomposed_quantize_per_tensor_default_1909: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_568, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_568 = None 2025-03-21T20:31:49.5270692Z quantized_decomposed_dequantize_per_tensor_default_2568: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1909, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1909 = None 2025-03-21T20:31:49.5273047Z aten_select_copy_int_569: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2568, 0, 8); quantized_decomposed_dequantize_per_tensor_default_2568 = None 2025-03-21T20:31:49.5275051Z quantized_decomposed_quantize_per_tensor_default_1910: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_569, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_569 = None 2025-03-21T20:31:49.5276302Z 2025-03-21T20:31:49.5277618Z # File: .50:6583 in forward, code: dequantize_per_tensor_default_2070 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2070, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2070 = None 2025-03-21T20:31:49.5280134Z quantized_decomposed_dequantize_per_tensor_default_2569: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1910, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1910 = None 2025-03-21T20:31:49.5281673Z 2025-03-21T20:31:49.5282535Z # 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) 2025-03-21T20:31:49.5284307Z aten_permute_copy_default_479: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2495, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2495 = None 2025-03-21T20:31:49.5286470Z quantized_decomposed_quantize_per_tensor_default_1911: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_479, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_479 = None 2025-03-21T20:31:49.5289076Z quantized_decomposed_dequantize_per_tensor_default_2570: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1911, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1911 = None 2025-03-21T20:31:49.5291364Z aten_select_copy_int_570: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2570, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2570 = None 2025-03-21T20:31:49.5293361Z quantized_decomposed_quantize_per_tensor_default_1912: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_570, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_570 = None 2025-03-21T20:31:49.5295828Z quantized_decomposed_dequantize_per_tensor_default_2571: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1912, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1912 = None 2025-03-21T20:31:49.5298106Z aten_select_copy_int_571: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2571, 0, 9); quantized_decomposed_dequantize_per_tensor_default_2571 = None 2025-03-21T20:31:49.5300094Z quantized_decomposed_quantize_per_tensor_default_1913: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_571, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_571 = None 2025-03-21T20:31:49.5301344Z 2025-03-21T20:31:49.5302562Z # File: .50:6592 in forward, code: dequantize_per_tensor_default_2073 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2073, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2073 = None 2025-03-21T20:31:49.5305077Z quantized_decomposed_dequantize_per_tensor_default_2572: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1913, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1913 = None 2025-03-21T20:31:49.5306650Z 2025-03-21T20:31:49.5307523Z # 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) 2025-03-21T20:31:49.5309286Z aten_permute_copy_default_480: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2494, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2494 = None 2025-03-21T20:31:49.5311410Z quantized_decomposed_quantize_per_tensor_default_1914: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_480, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_480 = None 2025-03-21T20:31:49.5314052Z quantized_decomposed_dequantize_per_tensor_default_2573: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1914, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1914 = None 2025-03-21T20:31:49.5316338Z aten_select_copy_int_572: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2573, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2573 = None 2025-03-21T20:31:49.5318403Z quantized_decomposed_quantize_per_tensor_default_1915: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_572, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_572 = None 2025-03-21T20:31:49.5320877Z quantized_decomposed_dequantize_per_tensor_default_2574: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1915, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1915 = None 2025-03-21T20:31:49.5323153Z aten_select_copy_int_573: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2574, 0, 10); quantized_decomposed_dequantize_per_tensor_default_2574 = None 2025-03-21T20:31:49.5325144Z quantized_decomposed_quantize_per_tensor_default_1916: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_573, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_573 = None 2025-03-21T20:31:49.5326390Z 2025-03-21T20:31:49.5327593Z # File: .50:6601 in forward, code: dequantize_per_tensor_default_2076 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2076, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2076 = None 2025-03-21T20:31:49.5330109Z quantized_decomposed_dequantize_per_tensor_default_2575: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1916, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1916 = None 2025-03-21T20:31:49.5331657Z 2025-03-21T20:31:49.5332522Z # 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) 2025-03-21T20:31:49.5334293Z aten_permute_copy_default_481: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2493, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2493 = None 2025-03-21T20:31:49.5336449Z quantized_decomposed_quantize_per_tensor_default_1917: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_481, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_permute_copy_default_481 = None 2025-03-21T20:31:49.5338978Z quantized_decomposed_dequantize_per_tensor_default_2576: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1917, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1917 = None 2025-03-21T20:31:49.5341263Z aten_select_copy_int_574: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2576, 0, 0); quantized_decomposed_dequantize_per_tensor_default_2576 = None 2025-03-21T20:31:49.5343280Z quantized_decomposed_quantize_per_tensor_default_1918: "i32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_574, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_574 = None 2025-03-21T20:31:49.5345770Z quantized_decomposed_dequantize_per_tensor_default_2577: "f32[12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1918, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1918 = None 2025-03-21T20:31:49.5348107Z aten_select_copy_int_575: "f32[128, 64]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2577, 0, 11); quantized_decomposed_dequantize_per_tensor_default_2577 = None 2025-03-21T20:31:49.5350106Z quantized_decomposed_quantize_per_tensor_default_1919: "i32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_575, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_select_copy_int_575 = None 2025-03-21T20:31:49.5351368Z 2025-03-21T20:31:49.5352588Z # File: .50:6610 in forward, code: dequantize_per_tensor_default_2079 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2079, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2079 = None 2025-03-21T20:31:49.5355200Z quantized_decomposed_dequantize_per_tensor_default_2578: "f32[128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1919, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1919 = None 2025-03-21T20:31:49.5356747Z 2025-03-21T20:31:49.5357608Z # 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) 2025-03-21T20:31:49.5364873Z aten_cat_default_47: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_aten_cat_default([quantized_decomposed_dequantize_per_tensor_default_2545, quantized_decomposed_dequantize_per_tensor_default_2548, quantized_decomposed_dequantize_per_tensor_default_2551, quantized_decomposed_dequantize_per_tensor_default_2554, quantized_decomposed_dequantize_per_tensor_default_2557, quantized_decomposed_dequantize_per_tensor_default_2560, quantized_decomposed_dequantize_per_tensor_default_2563, quantized_decomposed_dequantize_per_tensor_default_2566, quantized_decomposed_dequantize_per_tensor_default_2569, quantized_decomposed_dequantize_per_tensor_default_2572, quantized_decomposed_dequantize_per_tensor_default_2575, quantized_decomposed_dequantize_per_tensor_default_2578]); quantized_decomposed_dequantize_per_tensor_default_2545 = quantized_decomposed_dequantize_per_tensor_default_2548 = quantized_decomposed_dequantize_per_tensor_default_2551 = quantized_decomposed_dequantize_per_tensor_default_2554 = quantized_decomposed_dequantize_per_tensor_default_2557 = quantized_decomposed_dequantize_per_tensor_default_2560 = quantized_decomposed_dequantize_per_tensor_default_2563 = quantized_decomposed_dequantize_per_tensor_default_2566 = quantized_decomposed_dequantize_per_tensor_default_2569 = quantized_decomposed_dequantize_per_tensor_default_2572 = quantized_decomposed_dequantize_per_tensor_default_2575 = quantized_decomposed_dequantize_per_tensor_default_2578 = None 2025-03-21T20:31:49.5372748Z quantized_decomposed_quantize_per_tensor_default_1920: "i32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_cat_default_47, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_cat_default_47 = None 2025-03-21T20:31:49.5375259Z quantized_decomposed_dequantize_per_tensor_default_2579: "f32[1536, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1920, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1920 = None 2025-03-21T20:31:49.5377592Z aten_view_copy_default_208: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2579, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2579 = None 2025-03-21T20:31:49.5379750Z quantized_decomposed_quantize_per_tensor_default_1921: "i32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_208, 0.0001868398830993101, 34146, 0, 65535, torch.int32); aten_view_copy_default_208 = None 2025-03-21T20:31:49.5381024Z 2025-03-21T20:31:49.5382238Z # File: .50:6616 in forward, code: dequantize_per_tensor_default_2081 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2081, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantize_per_tensor_default_2081 = None 2025-03-21T20:31:49.5384744Z quantized_decomposed_dequantize_per_tensor_default_2580: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1921, 0.0001868398830993101, 34146, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1921 = None 2025-03-21T20:31:49.5386276Z 2025-03-21T20:31:49.5387499Z # File: .50:6617 in forward, code: quantize_per_tensor_default_2082 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_2081, 0.00019470337429083884, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_2081 = None 2025-03-21T20:31:49.5390015Z quantized_decomposed_quantize_per_tensor_default_1922: "i16[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2580, 0.00019470337429083884, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2580 = None 2025-03-21T20:31:49.5391570Z 2025-03-21T20:31:49.5392230Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.5394296Z quantized_decomposed_dequantize_per_tensor_default_2581: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1922, 0.00019470337429083884, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1922 = None 2025-03-21T20:31:49.5395852Z 2025-03-21T20:31:49.5396601Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:157 in forward, code: attn_mask = mask[input_pos] 2025-03-21T20:31:49.5398296Z aten_index_tensor_13: "f32[1, 128]" = executorch_exir_dialects_edge__ops_aten_index_Tensor(quantized_decomposed_dequantize_per_tensor_default_148, [attn_options_input_pos]); quantized_decomposed_dequantize_per_tensor_default_148 = attn_options_input_pos = None 2025-03-21T20:31:49.5400423Z quantized_decomposed_quantize_per_tensor_default_1923: "i32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_index_tensor_13, 0.0038910505827516317, 65535, 0, 65535, torch.int32); aten_index_tensor_13 = None 2025-03-21T20:31:49.5401640Z 2025-03-21T20:31:49.5402342Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.5404357Z quantized_decomposed_dequantize_per_tensor_default_2582: "f32[1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1923, 0.0038910505827516317, 65535, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1923 = None 2025-03-21T20:31:49.5405901Z 2025-03-21T20:31:49.5406686Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.5408436Z aten_permute_copy_default_482: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2542, [0, 1, 3, 2]); quantized_decomposed_dequantize_per_tensor_default_2542 = None 2025-03-21T20:31:49.5410552Z quantized_decomposed_quantize_per_tensor_default_1924: "i32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_482, 0.0004016910679638386, 33587, 0, 65535, torch.int32); aten_permute_copy_default_482 = None 2025-03-21T20:31:49.5411853Z 2025-03-21T20:31:49.5413062Z # File: .50:6624 in forward, code: dequantize_per_tensor_default_2084 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2084, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantize_per_tensor_default_2084 = None 2025-03-21T20:31:49.5415569Z quantized_decomposed_dequantize_per_tensor_default_2583: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1924, 0.0004016910679638386, 33587, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1924 = None 2025-03-21T20:31:49.5417118Z 2025-03-21T20:31:49.5418324Z # File: .50:6625 in forward, code: quantize_per_tensor_default_2085 = torch.ops.quantized_decomposed.quantize_per_tensor.default(dequantize_per_tensor_default_2084, 0.00041174760553985834, 0, -32767, 32767, torch.int16); dequantize_per_tensor_default_2084 = None 2025-03-21T20:31:49.5420855Z quantized_decomposed_quantize_per_tensor_default_1925: "i16[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(quantized_decomposed_dequantize_per_tensor_default_2583, 0.00041174760553985834, 0, -32767, 32767, torch.int16); quantized_decomposed_dequantize_per_tensor_default_2583 = None 2025-03-21T20:31:49.5422405Z 2025-03-21T20:31:49.5423203Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:160 in forward, code: attn_weight = q @ k.transpose(-2, -1) * scale_factor 2025-03-21T20:31:49.5425356Z quantized_decomposed_dequantize_per_tensor_default_2584: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1925, 0.00041174760553985834, 0, -32767, 32767, torch.int16); quantized_decomposed_quantize_per_tensor_default_1925 = None 2025-03-21T20:31:49.5427720Z aten_expand_copy_default_44: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2478, [1, 12, 1, 64]); quantized_decomposed_dequantize_per_tensor_default_2478 = None 2025-03-21T20:31:49.5429354Z 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 2025-03-21T20:31:49.5431027Z aten_expand_copy_default_45: "f32[1, 12, 64, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2584, [1, 12, 64, 128]); quantized_decomposed_dequantize_per_tensor_default_2584 = None 2025-03-21T20:31:49.5432730Z 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 2025-03-21T20:31:49.5434351Z 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 2025-03-21T20:31:49.5435853Z 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 2025-03-21T20:31:49.5437654Z quantized_decomposed_quantize_per_tensor_default_1926: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_211, 0.0039060052949935198, 34370, 0, 65535, torch.int32); aten_view_copy_default_211 = None 2025-03-21T20:31:49.5440132Z quantized_decomposed_dequantize_per_tensor_default_2585: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1926, 0.0039060052949935198, 34370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1926 = None 2025-03-21T20:31:49.5442546Z quantized_decomposed_dequantize_per_tensor_default_2586: "f32[1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(b__frozen_param160, 1.9073777366429567e-06, 0, 0, 65535, torch.int32); b__frozen_param160 = None 2025-03-21T20:31:49.5444957Z aten_mul_tensor_175: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2585, quantized_decomposed_dequantize_per_tensor_default_2586); quantized_decomposed_dequantize_per_tensor_default_2585 = quantized_decomposed_dequantize_per_tensor_default_2586 = None 2025-03-21T20:31:49.5447378Z quantized_decomposed_quantize_per_tensor_default_1927: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_175, 0.00048825066187418997, 34370, 0, 65535, torch.int32); aten_mul_tensor_175 = None 2025-03-21T20:31:49.5448588Z 2025-03-21T20:31:49.5449286Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:161 in forward, code: attn_weight += attn_mask 2025-03-21T20:31:49.5451295Z quantized_decomposed_dequantize_per_tensor_default_2587: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1927, 0.00048825066187418997, 34370, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1927 = None 2025-03-21T20:31:49.5454059Z aten_add_tensor_57: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2587, quantized_decomposed_dequantize_per_tensor_default_2582); quantized_decomposed_dequantize_per_tensor_default_2587 = quantized_decomposed_dequantize_per_tensor_default_2582 = None 2025-03-21T20:31:49.5456457Z quantized_decomposed_quantize_per_tensor_default_1928: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_57, 0.0042822156101465225, 61982, 0, 65535, torch.int32); aten_add_tensor_57 = None 2025-03-21T20:31:49.5457656Z 2025-03-21T20:31:49.5458437Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:162 in forward, code: attn_weight = torch.softmax(attn_weight, dim=-1) 2025-03-21T20:31:49.5460521Z quantized_decomposed_dequantize_per_tensor_default_2588: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1928, 0.0042822156101465225, 61982, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1928 = None 2025-03-21T20:31:49.5462889Z aten__softmax_default_11: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten__softmax_default(quantized_decomposed_dequantize_per_tensor_default_2588, -1, False); quantized_decomposed_dequantize_per_tensor_default_2588 = None 2025-03-21T20:31:49.5464945Z quantized_decomposed_quantize_per_tensor_default_1929: "i32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten__softmax_default_11, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); aten__softmax_default_11 = None 2025-03-21T20:31:49.5466187Z 2025-03-21T20:31:49.5467169Z # File: /pytorch/executorch/examples/models/llama/source_transformation/sdpa.py:163 in forward, code: y = attn_weight @ v 2025-03-21T20:31:49.5469127Z quantized_decomposed_dequantize_per_tensor_default_2589: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1929, 1.5259021893143654e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1929 = None 2025-03-21T20:31:49.5471460Z aten_expand_copy_default_46: "f32[1, 12, 1, 128]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2589, [1, 12, 1, 128]); quantized_decomposed_dequantize_per_tensor_default_2589 = None 2025-03-21T20:31:49.5473210Z 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 2025-03-21T20:31:49.5474895Z aten_expand_copy_default_47: "f32[1, 12, 128, 64]" = executorch_exir_dialects_edge__ops_aten_expand_copy_default(quantized_decomposed_dequantize_per_tensor_default_2581, [1, 12, 128, 64]); quantized_decomposed_dequantize_per_tensor_default_2581 = None 2025-03-21T20:31:49.5476574Z 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 2025-03-21T20:31:49.5478077Z 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 2025-03-21T20:31:49.5479517Z 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 2025-03-21T20:31:49.5481314Z quantized_decomposed_quantize_per_tensor_default_1930: "i32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_214, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_view_copy_default_214 = None 2025-03-21T20:31:49.5482581Z 2025-03-21T20:31:49.5483421Z # 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) 2025-03-21T20:31:49.5485581Z quantized_decomposed_dequantize_per_tensor_default_2590: "f32[1, 12, 1, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1930, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1930 = None 2025-03-21T20:31:49.5487922Z aten_permute_copy_default_483: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2590, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2590 = None 2025-03-21T20:31:49.5490082Z quantized_decomposed_quantize_per_tensor_default_1931: "i32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_483, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_permute_copy_default_483 = None 2025-03-21T20:31:49.5492601Z quantized_decomposed_dequantize_per_tensor_default_2591: "f32[1, 1, 12, 64]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1931, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1931 = None 2025-03-21T20:31:49.5494977Z aten_view_copy_default_215: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2591, [1, 1, 768]); quantized_decomposed_dequantize_per_tensor_default_2591 = None 2025-03-21T20:31:49.5497027Z quantized_decomposed_quantize_per_tensor_default_1932: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_215, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_view_copy_default_215 = None 2025-03-21T20:31:49.5498295Z 2025-03-21T20:31:49.5499034Z # 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) 2025-03-21T20:31:49.5501065Z quantized_decomposed_dequantize_per_tensor_default_2592: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1932, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1932 = None 2025-03-21T20:31:49.5503434Z aten_unsqueeze_copy_default_128: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2592, -1); quantized_decomposed_dequantize_per_tensor_default_2592 = None 2025-03-21T20:31:49.5505573Z quantized_decomposed_quantize_per_tensor_default_1933: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_128, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_unsqueeze_copy_default_128 = None 2025-03-21T20:31:49.5506883Z 2025-03-21T20:31:49.5507492Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.5509390Z quantized_decomposed_dequantize_per_tensor_default_2593: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1933, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1933 = None 2025-03-21T20:31:49.5511777Z aten_permute_copy_default_484: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2593, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2593 = None 2025-03-21T20:31:49.5513950Z quantized_decomposed_quantize_per_tensor_default_1934: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_484, 0.00014522179844789207, 27770, 0, 65535, torch.int32); aten_permute_copy_default_484 = None 2025-03-21T20:31:49.5515252Z 2025-03-21T20:31:49.5515797Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.5517662Z quantized_decomposed_dequantize_per_tensor_default_2594: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1934, 0.00014522179844789207, 27770, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1934 = None 2025-03-21T20:31:49.5520612Z aten_convolution_default_80: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2594, quantized_decomposed_dequantize_per_tensor_default_104, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2594 = quantized_decomposed_dequantize_per_tensor_default_104 = None 2025-03-21T20:31:49.5523311Z quantized_decomposed_quantize_per_tensor_default_1935: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_80, 0.0005083726719021797, 47465, 0, 65535, torch.int32); aten_convolution_default_80 = None 2025-03-21T20:31:49.5524605Z 2025-03-21T20:31:49.5525236Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.5527156Z quantized_decomposed_dequantize_per_tensor_default_2595: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1935, 0.0005083726719021797, 47465, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1935 = None 2025-03-21T20:31:49.5529520Z aten_permute_copy_default_485: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2595, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2595 = None 2025-03-21T20:31:49.5531626Z quantized_decomposed_quantize_per_tensor_default_1936: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_485, 0.0005083726719021797, 47465, 0, 65535, torch.int32); aten_permute_copy_default_485 = None 2025-03-21T20:31:49.5532933Z 2025-03-21T20:31:49.5533683Z # 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]) 2025-03-21T20:31:49.5535718Z quantized_decomposed_dequantize_per_tensor_default_2596: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1936, 0.0005083726719021797, 47465, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1936 = None 2025-03-21T20:31:49.5538018Z aten_squeeze_copy_dims_128: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2596, [-1]); quantized_decomposed_dequantize_per_tensor_default_2596 = None 2025-03-21T20:31:49.5540076Z quantized_decomposed_quantize_per_tensor_default_1937: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_128, 0.0005083726719021797, 47465, 0, 65535, torch.int32); aten_squeeze_copy_dims_128 = None 2025-03-21T20:31:49.5541328Z 2025-03-21T20:31:49.5541919Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:111 in forward, code: h = x + h 2025-03-21T20:31:49.5543775Z quantized_decomposed_dequantize_per_tensor_default_2597: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1937, 0.0005083726719021797, 47465, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1937 = None 2025-03-21T20:31:49.5546514Z aten_add_tensor_58: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2417, quantized_decomposed_dequantize_per_tensor_default_2597); quantized_decomposed_dequantize_per_tensor_default_2417 = quantized_decomposed_dequantize_per_tensor_default_2597 = None 2025-03-21T20:31:49.5548972Z quantized_decomposed_quantize_per_tensor_default_1938: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_58, 0.0023697831202298403, 14969, 0, 65535, torch.int32); aten_add_tensor_58 = None 2025-03-21T20:31:49.5550188Z 2025-03-21T20:31:49.5550921Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.5552711Z quantized_decomposed_dequantize_per_tensor_default_2598: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1938, 0.0023697831202298403, 14969, 0, 65535, torch.int32) 2025-03-21T20:31:49.5555322Z quantized_decomposed_dequantize_per_tensor_default_2599: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1938, 0.0023697831202298403, 14969, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1938 = None 2025-03-21T20:31:49.5557343Z aten_pow_tensor_scalar_23: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2599, 2) 2025-03-21T20:31:49.5558581Z 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 2025-03-21T20:31:49.5559742Z 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 2025-03-21T20:31:49.5560860Z 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 2025-03-21T20:31:49.5562460Z aten_mul_tensor_176: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2599, aten_rsqrt_default_23); quantized_decomposed_dequantize_per_tensor_default_2599 = aten_rsqrt_default_23 = None 2025-03-21T20:31:49.5564518Z aten_mul_tensor_177: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_176, quantized_decomposed_dequantize_per_tensor_default_105); aten_mul_tensor_176 = quantized_decomposed_dequantize_per_tensor_default_105 = None 2025-03-21T20:31:49.5566798Z quantized_decomposed_quantize_per_tensor_default_1939: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_177, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_mul_tensor_177 = None 2025-03-21T20:31:49.5567999Z 2025-03-21T20:31:49.5568786Z # 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) 2025-03-21T20:31:49.5570556Z quantized_decomposed_dequantize_per_tensor_default_2600: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1939, 0.0006559237372130156, 27360, 0, 65535, torch.int32) 2025-03-21T20:31:49.5573056Z quantized_decomposed_dequantize_per_tensor_default_2601: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1939, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1939 = None 2025-03-21T20:31:49.5575445Z aten_unsqueeze_copy_default_129: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2601, -1); quantized_decomposed_dequantize_per_tensor_default_2601 = None 2025-03-21T20:31:49.5577588Z quantized_decomposed_quantize_per_tensor_default_1940: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_129, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_unsqueeze_copy_default_129 = None 2025-03-21T20:31:49.5578945Z 2025-03-21T20:31:49.5579550Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.5581535Z quantized_decomposed_dequantize_per_tensor_default_2602: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1940, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1940 = None 2025-03-21T20:31:49.5583882Z aten_permute_copy_default_486: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2602, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2602 = None 2025-03-21T20:31:49.5585985Z quantized_decomposed_quantize_per_tensor_default_1941: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_486, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_permute_copy_default_486 = None 2025-03-21T20:31:49.5587283Z 2025-03-21T20:31:49.5587842Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.5589697Z quantized_decomposed_dequantize_per_tensor_default_2603: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1941, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1941 = None 2025-03-21T20:31:49.5592585Z aten_convolution_default_81: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2603, quantized_decomposed_dequantize_per_tensor_default_106, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2603 = quantized_decomposed_dequantize_per_tensor_default_106 = None 2025-03-21T20:31:49.5595325Z quantized_decomposed_quantize_per_tensor_default_1942: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_81, 0.0002535042294766754, 28878, 0, 65535, torch.int32); aten_convolution_default_81 = None 2025-03-21T20:31:49.5596610Z 2025-03-21T20:31:49.5597279Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.5599207Z quantized_decomposed_dequantize_per_tensor_default_2604: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1942, 0.0002535042294766754, 28878, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1942 = None 2025-03-21T20:31:49.5601571Z aten_permute_copy_default_487: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2604, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2604 = None 2025-03-21T20:31:49.5603699Z quantized_decomposed_quantize_per_tensor_default_1943: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_487, 0.0002535042294766754, 28878, 0, 65535, torch.int32); aten_permute_copy_default_487 = None 2025-03-21T20:31:49.5605047Z 2025-03-21T20:31:49.5605802Z # 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]) 2025-03-21T20:31:49.5607842Z quantized_decomposed_dequantize_per_tensor_default_2605: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1943, 0.0002535042294766754, 28878, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1943 = None 2025-03-21T20:31:49.5610199Z aten_squeeze_copy_dims_129: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2605, [-1]); quantized_decomposed_dequantize_per_tensor_default_2605 = None 2025-03-21T20:31:49.5612255Z quantized_decomposed_quantize_per_tensor_default_1944: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_129, 0.0002535042294766754, 28878, 0, 65535, torch.int32); aten_squeeze_copy_dims_129 = None 2025-03-21T20:31:49.5613528Z 2025-03-21T20:31:49.5614256Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.5616019Z quantized_decomposed_dequantize_per_tensor_default_2606: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1944, 0.0002535042294766754, 28878, 0, 65535, torch.int32) 2025-03-21T20:31:49.5618530Z quantized_decomposed_dequantize_per_tensor_default_2607: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1944, 0.0002535042294766754, 28878, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1944 = None 2025-03-21T20:31:49.5620816Z aten_sigmoid_default_11: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_sigmoid_default(quantized_decomposed_dequantize_per_tensor_default_2607); quantized_decomposed_dequantize_per_tensor_default_2607 = None 2025-03-21T20:31:49.5622777Z quantized_decomposed_quantize_per_tensor_default_1945: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_sigmoid_default_11, 1.52587890625e-05, 0, 0, 65535, torch.int32); aten_sigmoid_default_11 = None 2025-03-21T20:31:49.5625169Z quantized_decomposed_dequantize_per_tensor_default_2608: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1945, 1.52587890625e-05, 0, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1945 = None 2025-03-21T20:31:49.5627891Z aten_mul_tensor_178: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2606, quantized_decomposed_dequantize_per_tensor_default_2608); quantized_decomposed_dequantize_per_tensor_default_2606 = quantized_decomposed_dequantize_per_tensor_default_2608 = None 2025-03-21T20:31:49.5630297Z quantized_decomposed_quantize_per_tensor_default_1946: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_178, 0.00014603332965634763, 1907, 0, 65535, torch.int32); aten_mul_tensor_178 = None 2025-03-21T20:31:49.5632726Z quantized_decomposed_dequantize_per_tensor_default_2609: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1946, 0.00014603332965634763, 1907, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1946 = None 2025-03-21T20:31:49.5634351Z 2025-03-21T20:31:49.5635086Z # 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) 2025-03-21T20:31:49.5636714Z aten_unsqueeze_copy_default_130: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2600, -1); quantized_decomposed_dequantize_per_tensor_default_2600 = None 2025-03-21T20:31:49.5638912Z quantized_decomposed_quantize_per_tensor_default_1947: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_130, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_unsqueeze_copy_default_130 = None 2025-03-21T20:31:49.5640236Z 2025-03-21T20:31:49.5640839Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.5642727Z quantized_decomposed_dequantize_per_tensor_default_2610: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1947, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1947 = None 2025-03-21T20:31:49.5645063Z aten_permute_copy_default_488: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2610, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2610 = None 2025-03-21T20:31:49.5647165Z quantized_decomposed_quantize_per_tensor_default_1948: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_488, 0.0006559237372130156, 27360, 0, 65535, torch.int32); aten_permute_copy_default_488 = None 2025-03-21T20:31:49.5648453Z 2025-03-21T20:31:49.5649013Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.5650850Z quantized_decomposed_dequantize_per_tensor_default_2611: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1948, 0.0006559237372130156, 27360, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1948 = None 2025-03-21T20:31:49.5653771Z aten_convolution_default_82: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2611, quantized_decomposed_dequantize_per_tensor_default_107, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2611 = quantized_decomposed_dequantize_per_tensor_default_107 = None 2025-03-21T20:31:49.5656475Z quantized_decomposed_quantize_per_tensor_default_1949: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_82, 0.00044822643394581974, 39750, 0, 65535, torch.int32); aten_convolution_default_82 = None 2025-03-21T20:31:49.5657767Z 2025-03-21T20:31:49.5658388Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.5660323Z quantized_decomposed_dequantize_per_tensor_default_2612: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1949, 0.00044822643394581974, 39750, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1949 = None 2025-03-21T20:31:49.5662711Z aten_permute_copy_default_489: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2612, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2612 = None 2025-03-21T20:31:49.5664832Z quantized_decomposed_quantize_per_tensor_default_1950: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_489, 0.00044822643394581974, 39750, 0, 65535, torch.int32); aten_permute_copy_default_489 = None 2025-03-21T20:31:49.5666160Z 2025-03-21T20:31:49.5667096Z # 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]) 2025-03-21T20:31:49.5669226Z quantized_decomposed_dequantize_per_tensor_default_2613: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1950, 0.00044822643394581974, 39750, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1950 = None 2025-03-21T20:31:49.5671544Z aten_squeeze_copy_dims_130: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2613, [-1]); quantized_decomposed_dequantize_per_tensor_default_2613 = None 2025-03-21T20:31:49.5673684Z quantized_decomposed_quantize_per_tensor_default_1951: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_130, 0.00044822643394581974, 39750, 0, 65535, torch.int32); aten_squeeze_copy_dims_130 = None 2025-03-21T20:31:49.5674956Z 2025-03-21T20:31:49.5675681Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:36 in forward, code: return self.w2(F.silu(self.w1(x)) * self.w3(x)) 2025-03-21T20:31:49.5677713Z quantized_decomposed_dequantize_per_tensor_default_2614: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1951, 0.00044822643394581974, 39750, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1951 = None 2025-03-21T20:31:49.5680467Z aten_mul_tensor_179: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2609, quantized_decomposed_dequantize_per_tensor_default_2614); quantized_decomposed_dequantize_per_tensor_default_2609 = quantized_decomposed_dequantize_per_tensor_default_2614 = None 2025-03-21T20:31:49.5682882Z quantized_decomposed_quantize_per_tensor_default_1952: "i32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_179, 0.002697124844416976, 47690, 0, 65535, torch.int32); aten_mul_tensor_179 = None 2025-03-21T20:31:49.5684090Z 2025-03-21T20:31:49.5684863Z # 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) 2025-03-21T20:31:49.5686894Z quantized_decomposed_dequantize_per_tensor_default_2615: "f32[1, 1, 2048]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1952, 0.002697124844416976, 47690, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1952 = None 2025-03-21T20:31:49.5689271Z aten_unsqueeze_copy_default_131: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_aten_unsqueeze_copy_default(quantized_decomposed_dequantize_per_tensor_default_2615, -1); quantized_decomposed_dequantize_per_tensor_default_2615 = None 2025-03-21T20:31:49.5691416Z quantized_decomposed_quantize_per_tensor_default_1953: "i32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_unsqueeze_copy_default_131, 0.002697124844416976, 47690, 0, 65535, torch.int32); aten_unsqueeze_copy_default_131 = None 2025-03-21T20:31:49.5692763Z 2025-03-21T20:31:49.5693371Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.5695274Z quantized_decomposed_dequantize_per_tensor_default_2616: "f32[1, 1, 2048, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1953, 0.002697124844416976, 47690, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1953 = None 2025-03-21T20:31:49.5697710Z aten_permute_copy_default_490: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2616, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2616 = None 2025-03-21T20:31:49.5699830Z quantized_decomposed_quantize_per_tensor_default_1954: "i32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_490, 0.002697124844416976, 47690, 0, 65535, torch.int32); aten_permute_copy_default_490 = None 2025-03-21T20:31:49.5701126Z 2025-03-21T20:31:49.5701672Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.5703534Z quantized_decomposed_dequantize_per_tensor_default_2617: "f32[1, 2048, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1954, 0.002697124844416976, 47690, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1954 = None 2025-03-21T20:31:49.5706459Z aten_convolution_default_83: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2617, quantized_decomposed_dequantize_per_tensor_default_108, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2617 = quantized_decomposed_dequantize_per_tensor_default_108 = None 2025-03-21T20:31:49.5709099Z quantized_decomposed_quantize_per_tensor_default_1955: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_83, 0.002150162821635604, 55113, 0, 65535, torch.int32); aten_convolution_default_83 = None 2025-03-21T20:31:49.5710392Z 2025-03-21T20:31:49.5711019Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.5713054Z quantized_decomposed_dequantize_per_tensor_default_2618: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1955, 0.002150162821635604, 55113, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1955 = None 2025-03-21T20:31:49.5715387Z aten_permute_copy_default_491: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2618, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2618 = None 2025-03-21T20:31:49.5717492Z quantized_decomposed_quantize_per_tensor_default_1956: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_491, 0.002150162821635604, 55113, 0, 65535, torch.int32); aten_permute_copy_default_491 = None 2025-03-21T20:31:49.5718785Z 2025-03-21T20:31:49.5719550Z # 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]) 2025-03-21T20:31:49.5721616Z quantized_decomposed_dequantize_per_tensor_default_2619: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1956, 0.002150162821635604, 55113, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1956 = None 2025-03-21T20:31:49.5723926Z aten_squeeze_copy_dims_131: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_squeeze_copy_dims(quantized_decomposed_dequantize_per_tensor_default_2619, [-1]); quantized_decomposed_dequantize_per_tensor_default_2619 = None 2025-03-21T20:31:49.5726001Z quantized_decomposed_quantize_per_tensor_default_1957: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_squeeze_copy_dims_131, 0.002150162821635604, 55113, 0, 65535, torch.int32); aten_squeeze_copy_dims_131 = None 2025-03-21T20:31:49.5727262Z 2025-03-21T20:31:49.5727976Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:115 in forward, code: out = h + self.feed_forward(self.ffn_norm(h)) 2025-03-21T20:31:49.5729987Z quantized_decomposed_dequantize_per_tensor_default_2620: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1957, 0.002150162821635604, 55113, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1957 = None 2025-03-21T20:31:49.5732714Z aten_add_tensor_59: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_aten_add_Tensor(quantized_decomposed_dequantize_per_tensor_default_2598, quantized_decomposed_dequantize_per_tensor_default_2620); quantized_decomposed_dequantize_per_tensor_default_2598 = quantized_decomposed_dequantize_per_tensor_default_2620 = None 2025-03-21T20:31:49.5735099Z quantized_decomposed_quantize_per_tensor_default_1958: "i32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_add_tensor_59, 0.003176590660586953, 40851, 0, 65535, torch.int32); aten_add_tensor_59 = None 2025-03-21T20:31:49.5736294Z 2025-03-21T20:31:49.5736893Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:180 in forward, code: h = h[:, -1, :] 2025-03-21T20:31:49.5738776Z quantized_decomposed_dequantize_per_tensor_default_2621: "f32[1, 1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1958, 0.003176590660586953, 40851, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1958 = None 2025-03-21T20:31:49.5741068Z aten_select_copy_int_576: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_select_copy_int(quantized_decomposed_dequantize_per_tensor_default_2621, 1, -1); quantized_decomposed_dequantize_per_tensor_default_2621 = None 2025-03-21T20:31:49.5743126Z quantized_decomposed_quantize_per_tensor_default_1959: "i32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_select_copy_int_576, 0.003176590660586953, 40851, 0, 65535, torch.int32); aten_select_copy_int_576 = None 2025-03-21T20:31:49.5744358Z 2025-03-21T20:31:49.5744961Z # File: /pytorch/executorch/examples/models/llama/llama_transformer.py:182 in forward, code: h = self.norm(h) 2025-03-21T20:31:49.5746860Z quantized_decomposed_dequantize_per_tensor_default_2622: "f32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1959, 0.003176590660586953, 40851, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1959 = None 2025-03-21T20:31:49.5748878Z aten_pow_tensor_scalar_24: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_pow_Tensor_Scalar(quantized_decomposed_dequantize_per_tensor_default_2622, 2) 2025-03-21T20:31:49.5750124Z 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 2025-03-21T20:31:49.5751274Z 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 2025-03-21T20:31:49.5752410Z aten_rsqrt_default_24: "f32[1, 1]" = executorch_exir_dialects_edge__ops_aten_rsqrt_default(aten_add_scalar_24); aten_add_scalar_24 = None 2025-03-21T20:31:49.5754161Z aten_mul_tensor_180: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(quantized_decomposed_dequantize_per_tensor_default_2622, aten_rsqrt_default_24); quantized_decomposed_dequantize_per_tensor_default_2622 = aten_rsqrt_default_24 = None 2025-03-21T20:31:49.5756205Z aten_mul_tensor_181: "f32[1, 768]" = executorch_exir_dialects_edge__ops_aten_mul_Tensor(aten_mul_tensor_180, quantized_decomposed_dequantize_per_tensor_default_109); aten_mul_tensor_180 = quantized_decomposed_dequantize_per_tensor_default_109 = None 2025-03-21T20:31:49.5758245Z quantized_decomposed_quantize_per_tensor_default_1960: "i32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_mul_tensor_181, 0.0029369546100497246, 33824, 0, 65535, torch.int32); aten_mul_tensor_181 = None 2025-03-21T20:31:49.5759448Z 2025-03-21T20:31:49.5760184Z # 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) 2025-03-21T20:31:49.5762201Z quantized_decomposed_dequantize_per_tensor_default_2623: "f32[1, 768]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1960, 0.0029369546100497246, 33824, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1960 = None 2025-03-21T20:31:49.5764517Z aten_view_copy_default_216: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2623, [1, 1, 768, 1]); quantized_decomposed_dequantize_per_tensor_default_2623 = None 2025-03-21T20:31:49.5766734Z quantized_decomposed_quantize_per_tensor_default_1961: "i32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_216, 0.0029369546100497246, 33824, 0, 65535, torch.int32); aten_view_copy_default_216 = None 2025-03-21T20:31:49.5768005Z 2025-03-21T20:31:49.5768603Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:191 in forward, code: x = torch.transpose(x, 1, 2) 2025-03-21T20:31:49.5770565Z quantized_decomposed_dequantize_per_tensor_default_2624: "f32[1, 1, 768, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1961, 0.0029369546100497246, 33824, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1961 = None 2025-03-21T20:31:49.5772921Z aten_permute_copy_default_492: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2624, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2624 = None 2025-03-21T20:31:49.5775037Z quantized_decomposed_quantize_per_tensor_default_1962: "i32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_492, 0.0029369546100497246, 33824, 0, 65535, torch.int32); aten_permute_copy_default_492 = None 2025-03-21T20:31:49.5776334Z 2025-03-21T20:31:49.5776901Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:192 in forward, code: res = self.conv(x) 2025-03-21T20:31:49.5778797Z quantized_decomposed_dequantize_per_tensor_default_2625: "f32[1, 768, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1962, 0.0029369546100497246, 33824, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1962 = None 2025-03-21T20:31:49.5781720Z aten_convolution_default_84: "f32[1, 32000, 1, 1]" = executorch_exir_dialects_edge__ops_aten_convolution_default(quantized_decomposed_dequantize_per_tensor_default_2625, quantized_decomposed_dequantize_per_tensor_default_110, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1); quantized_decomposed_dequantize_per_tensor_default_2625 = quantized_decomposed_dequantize_per_tensor_default_110 = None 2025-03-21T20:31:49.5784450Z quantized_decomposed_quantize_per_tensor_default_1963: "i32[1, 32000, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_convolution_default_84, 0.0006781866541132331, 24939, 0, 65535, torch.int32); aten_convolution_default_84 = None 2025-03-21T20:31:49.5785751Z 2025-03-21T20:31:49.5786372Z # File: /pytorch/executorch/backends/qualcomm/utils/utils.py:193 in forward, code: res = torch.transpose(res, 1, 2) 2025-03-21T20:31:49.5788301Z quantized_decomposed_dequantize_per_tensor_default_2626: "f32[1, 32000, 1, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1963, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1963 = None 2025-03-21T20:31:49.5790675Z aten_permute_copy_default_493: "f32[1, 1, 32000, 1]" = executorch_exir_dialects_edge__ops_aten_permute_copy_default(quantized_decomposed_dequantize_per_tensor_default_2626, [0, 2, 1, 3]); quantized_decomposed_dequantize_per_tensor_default_2626 = None 2025-03-21T20:31:49.5792872Z quantized_decomposed_quantize_per_tensor_default_1964: "i32[1, 1, 32000, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_permute_copy_default_493, 0.0006781866541132331, 24939, 0, 65535, torch.int32); aten_permute_copy_default_493 = None 2025-03-21T20:31:49.5794176Z 2025-03-21T20:31:49.5794915Z # 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]) 2025-03-21T20:31:49.5796977Z quantized_decomposed_dequantize_per_tensor_default_2627: "f32[1, 1, 32000, 1]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1964, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1964 = None 2025-03-21T20:31:49.5799346Z aten_view_copy_default_217: "f32[1, 32000]" = executorch_exir_dialects_edge__ops_aten_view_copy_default(quantized_decomposed_dequantize_per_tensor_default_2627, [1, 32000]); quantized_decomposed_dequantize_per_tensor_default_2627 = None 2025-03-21T20:31:49.5801419Z quantized_decomposed_quantize_per_tensor_default_1965: "i32[1, 32000]" = executorch_exir_dialects_edge__ops_quantized_decomposed_quantize_per_tensor_default(aten_view_copy_default_217, 0.0006781866541132331, 24939, 0, 65535, torch.int32); aten_view_copy_default_217 = None 2025-03-21T20:31:49.5802702Z 2025-03-21T20:31:49.5803915Z # File: .50:6757 in forward, code: dequantize_per_tensor_default_2128 = torch.ops.quantized_decomposed.dequantize_per_tensor.default(quantize_per_tensor_default_2128, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantize_per_tensor_default_2128 = None 2025-03-21T20:31:49.5806429Z quantized_decomposed_dequantize_per_tensor_default_2628: "f32[1, 32000]" = executorch_exir_dialects_edge__ops_quantized_decomposed_dequantize_per_tensor_default(quantized_decomposed_quantize_per_tensor_default_1965, 0.0006781866541132331, 24939, 0, 65535, torch.int32); quantized_decomposed_quantize_per_tensor_default_1965 = None 2025-03-21T20:31:49.5807993Z 2025-03-21T20:31:49.5809176Z # File: .50:6758 in forward, code: copy__default = torch.ops.aten.copy_.default(layers_0_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_200); layers_0_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_200 = copy__default = None 2025-03-21T20:31:49.5811566Z 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, quantized_decomposed_dequantize_per_tensor_default_235); b_layers_0_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_235 = None 2025-03-21T20:31:49.5812950Z 2025-03-21T20:31:49.5814148Z # File: .50:6759 in forward, code: copy__default_1 = torch.ops.aten.copy_.default(layers_0_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_201); layers_0_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_201 = copy__default_1 = None 2025-03-21T20:31:49.5816482Z 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, quantized_decomposed_dequantize_per_tensor_default_248); b_layers_0_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_248 = None 2025-03-21T20:31:49.5817851Z 2025-03-21T20:31:49.5819034Z # File: .50:6760 in forward, code: copy__default_2 = torch.ops.aten.copy_.default(layers_1_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_364); layers_1_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_364 = copy__default_2 = None 2025-03-21T20:31:49.5821361Z 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, quantized_decomposed_dequantize_per_tensor_default_439); b_layers_1_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_439 = None 2025-03-21T20:31:49.5822735Z 2025-03-21T20:31:49.5823921Z # File: .50:6761 in forward, code: copy__default_3 = torch.ops.aten.copy_.default(layers_1_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_365); layers_1_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_365 = copy__default_3 = None 2025-03-21T20:31:49.5826246Z 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, quantized_decomposed_dequantize_per_tensor_default_452); b_layers_1_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_452 = None 2025-03-21T20:31:49.5827625Z 2025-03-21T20:31:49.5828844Z # File: .50:6762 in forward, code: copy__default_4 = torch.ops.aten.copy_.default(layers_2_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_528); layers_2_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_528 = copy__default_4 = None 2025-03-21T20:31:49.5831172Z 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, quantized_decomposed_dequantize_per_tensor_default_643); b_layers_2_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_643 = None 2025-03-21T20:31:49.5832557Z 2025-03-21T20:31:49.5833844Z # File: .50:6763 in forward, code: copy__default_5 = torch.ops.aten.copy_.default(layers_2_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_529); layers_2_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_529 = copy__default_5 = None 2025-03-21T20:31:49.5836194Z 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, quantized_decomposed_dequantize_per_tensor_default_656); b_layers_2_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_656 = None 2025-03-21T20:31:49.5837564Z 2025-03-21T20:31:49.5838783Z # File: .50:6764 in forward, code: copy__default_6 = torch.ops.aten.copy_.default(layers_3_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_692); layers_3_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_692 = copy__default_6 = None 2025-03-21T20:31:49.5841136Z 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, quantized_decomposed_dequantize_per_tensor_default_847); b_layers_3_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_847 = None 2025-03-21T20:31:49.5842503Z 2025-03-21T20:31:49.5843704Z # File: .50:6765 in forward, code: copy__default_7 = torch.ops.aten.copy_.default(layers_3_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_693); layers_3_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_693 = copy__default_7 = None 2025-03-21T20:31:49.5846021Z 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, quantized_decomposed_dequantize_per_tensor_default_860); b_layers_3_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_860 = None 2025-03-21T20:31:49.5847401Z 2025-03-21T20:31:49.5848600Z # File: .50:6766 in forward, code: copy__default_8 = torch.ops.aten.copy_.default(layers_4_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_856); layers_4_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_856 = copy__default_8 = None 2025-03-21T20:31:49.5850935Z 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, quantized_decomposed_dequantize_per_tensor_default_1051); b_layers_4_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1051 = None 2025-03-21T20:31:49.5852321Z 2025-03-21T20:31:49.5853517Z # File: .50:6767 in forward, code: copy__default_9 = torch.ops.aten.copy_.default(layers_4_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_857); layers_4_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_857 = copy__default_9 = None 2025-03-21T20:31:49.5855874Z 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, quantized_decomposed_dequantize_per_tensor_default_1064); b_layers_4_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1064 = None 2025-03-21T20:31:49.5857268Z 2025-03-21T20:31:49.5858481Z # File: .50:6768 in forward, code: copy__default_10 = torch.ops.aten.copy_.default(layers_5_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1020); layers_5_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1020 = copy__default_10 = None 2025-03-21T20:31:49.5860843Z 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, quantized_decomposed_dequantize_per_tensor_default_1255); b_layers_5_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1255 = None 2025-03-21T20:31:49.5862245Z 2025-03-21T20:31:49.5863457Z # File: .50:6769 in forward, code: copy__default_11 = torch.ops.aten.copy_.default(layers_5_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1021); layers_5_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1021 = copy__default_11 = None 2025-03-21T20:31:49.5865812Z 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, quantized_decomposed_dequantize_per_tensor_default_1268); b_layers_5_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1268 = None 2025-03-21T20:31:49.5867388Z 2025-03-21T20:31:49.5868654Z # File: .50:6770 in forward, code: copy__default_12 = torch.ops.aten.copy_.default(layers_6_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1184); layers_6_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1184 = copy__default_12 = None 2025-03-21T20:31:49.5871003Z 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, quantized_decomposed_dequantize_per_tensor_default_1459); b_layers_6_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1459 = None 2025-03-21T20:31:49.5872405Z 2025-03-21T20:31:49.5873697Z # File: .50:6771 in forward, code: copy__default_13 = torch.ops.aten.copy_.default(layers_6_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1185); layers_6_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1185 = copy__default_13 = None 2025-03-21T20:31:49.5876042Z 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, quantized_decomposed_dequantize_per_tensor_default_1472); b_layers_6_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1472 = None 2025-03-21T20:31:49.5877431Z 2025-03-21T20:31:49.5878642Z # File: .50:6772 in forward, code: copy__default_14 = torch.ops.aten.copy_.default(layers_7_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1348); layers_7_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1348 = copy__default_14 = None 2025-03-21T20:31:49.5880998Z 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, quantized_decomposed_dequantize_per_tensor_default_1663); b_layers_7_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1663 = None 2025-03-21T20:31:49.5882382Z 2025-03-21T20:31:49.5883571Z # File: .50:6773 in forward, code: copy__default_15 = torch.ops.aten.copy_.default(layers_7_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1349); layers_7_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1349 = copy__default_15 = None 2025-03-21T20:31:49.5885956Z 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, quantized_decomposed_dequantize_per_tensor_default_1676); b_layers_7_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1676 = None 2025-03-21T20:31:49.5887338Z 2025-03-21T20:31:49.5888547Z # File: .50:6774 in forward, code: copy__default_16 = torch.ops.aten.copy_.default(layers_8_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1512); layers_8_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1512 = copy__default_16 = None 2025-03-21T20:31:49.5890890Z 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, quantized_decomposed_dequantize_per_tensor_default_1867); b_layers_8_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_1867 = None 2025-03-21T20:31:49.5892315Z 2025-03-21T20:31:49.5893514Z # File: .50:6775 in forward, code: copy__default_17 = torch.ops.aten.copy_.default(layers_8_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1513); layers_8_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1513 = copy__default_17 = None 2025-03-21T20:31:49.5895894Z 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, quantized_decomposed_dequantize_per_tensor_default_1880); b_layers_8_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_1880 = None 2025-03-21T20:31:49.5897278Z 2025-03-21T20:31:49.5898511Z # File: .50:6776 in forward, code: copy__default_18 = torch.ops.aten.copy_.default(layers_9_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1676); layers_9_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1676 = copy__default_18 = None 2025-03-21T20:31:49.5900873Z 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, quantized_decomposed_dequantize_per_tensor_default_2071); b_layers_9_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_2071 = None 2025-03-21T20:31:49.5902261Z 2025-03-21T20:31:49.5903465Z # File: .50:6777 in forward, code: copy__default_19 = torch.ops.aten.copy_.default(layers_9_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1677); layers_9_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1677 = copy__default_19 = None 2025-03-21T20:31:49.5905818Z 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, quantized_decomposed_dequantize_per_tensor_default_2084); b_layers_9_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_2084 = None 2025-03-21T20:31:49.5907206Z 2025-03-21T20:31:49.5908406Z # File: .50:6778 in forward, code: copy__default_20 = torch.ops.aten.copy_.default(layers_10_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_1840); layers_10_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_1840 = copy__default_20 = None 2025-03-21T20:31:49.5910765Z 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, quantized_decomposed_dequantize_per_tensor_default_2275); b_layers_10_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_2275 = None 2025-03-21T20:31:49.5912161Z 2025-03-21T20:31:49.5913481Z # File: .50:6779 in forward, code: copy__default_21 = torch.ops.aten.copy_.default(layers_10_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_1841); layers_10_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_1841 = copy__default_21 = None 2025-03-21T20:31:49.5915846Z 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, quantized_decomposed_dequantize_per_tensor_default_2288); b_layers_10_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_2288 = None 2025-03-21T20:31:49.5917241Z 2025-03-21T20:31:49.5918456Z # File: .50:6780 in forward, code: copy__default_22 = torch.ops.aten.copy_.default(layers_11_attention_kv_cache_past_k_caches, dequantize_per_tensor_default_2004); layers_11_attention_kv_cache_past_k_caches = dequantize_per_tensor_default_2004 = copy__default_22 = None 2025-03-21T20:31:49.5920857Z 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, quantized_decomposed_dequantize_per_tensor_default_2479); b_layers_11_attention_kv_cache_past_k_caches = quantized_decomposed_dequantize_per_tensor_default_2479 = None 2025-03-21T20:31:49.5922250Z 2025-03-21T20:31:49.5923459Z # File: .50:6781 in forward, code: copy__default_23 = torch.ops.aten.copy_.default(layers_11_attention_kv_cache_past_v_caches, dequantize_per_tensor_default_2005); layers_11_attention_kv_cache_past_v_caches = dequantize_per_tensor_default_2005 = copy__default_23 = None 2025-03-21T20:31:49.5925856Z 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, quantized_decomposed_dequantize_per_tensor_default_2492); b_layers_11_attention_kv_cache_past_v_caches = quantized_decomposed_dequantize_per_tensor_default_2492 = None 2025-03-21T20:31:49.5929282Z 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, quantized_decomposed_dequantize_per_tensor_default_2628) 2025-03-21T20:31:49.5931651Z 2025-03-21T20:31:49.6049850Z Graph signature: ExportGraphSignature(input_specs=[InputSpec(kind=, arg=TensorArgument(name='b__frozen_param0'), target='_frozen_param0', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b__frozen_param1'), target='_frozen_param1', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b__frozen_param2'), target='_frozen_param2', persistent=True), InputSpec(kind=, 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target='layers.4.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_5_attention_kv_cache_past_k_caches'), target='layers.5.attention.kv_cache.past_k_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_5_attention_kv_cache_past_v_caches'), target='layers.5.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_6_attention_kv_cache_past_k_caches'), target='layers.6.attention.kv_cache.past_k_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_6_attention_kv_cache_past_v_caches'), target='layers.6.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_7_attention_kv_cache_past_k_caches'), target='layers.7.attention.kv_cache.past_k_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_7_attention_kv_cache_past_v_caches'), target='layers.7.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_8_attention_kv_cache_past_k_caches'), target='layers.8.attention.kv_cache.past_k_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_8_attention_kv_cache_past_v_caches'), target='layers.8.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_9_attention_kv_cache_past_k_caches'), target='layers.9.attention.kv_cache.past_k_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_9_attention_kv_cache_past_v_caches'), target='layers.9.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_10_attention_kv_cache_past_k_caches'), target='layers.10.attention.kv_cache.past_k_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_10_attention_kv_cache_past_v_caches'), target='layers.10.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_11_attention_kv_cache_past_k_caches'), target='layers.11.attention.kv_cache.past_k_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='b_layers_11_attention_kv_cache_past_v_caches'), target='layers.11.attention.kv_cache.past_v_caches', persistent=True), InputSpec(kind=, arg=TensorArgument(name='tokens'), target=None, persistent=None), InputSpec(kind=, arg=TensorArgument(name='attn_options_input_pos'), target=None, persistent=None)], output_specs=[OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default'), target='layers.0.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_1'), target='layers.0.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_2'), target='layers.1.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_3'), target='layers.1.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_4'), target='layers.2.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_5'), target='layers.2.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_6'), target='layers.3.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_7'), target='layers.3.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_8'), target='layers.4.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_9'), target='layers.4.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_10'), target='layers.5.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_11'), target='layers.5.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_12'), target='layers.6.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_13'), target='layers.6.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_14'), target='layers.7.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_15'), target='layers.7.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_16'), target='layers.8.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_17'), target='layers.8.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_18'), target='layers.9.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_19'), target='layers.9.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_20'), target='layers.10.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_21'), target='layers.10.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_22'), target='layers.11.attention.kv_cache.past_k_caches'), OutputSpec(kind=, arg=TensorArgument(name='aten_copy_default_23'), target='layers.11.attention.kv_cache.past_v_caches'), OutputSpec(kind=, arg=TensorArgument(name='quantized_decomposed_dequantize_per_tensor_default_2628'), target=None)]) 2025-03-21T20:32:02.8350590Z Range constraints: {} 2025-03-21T20:32:02.8351017Z 2025-03-21T20:32:02.8351397Z [INFO 2025-03-21 20:32:02,105 export_llama_lib.py:813] Lowering model using following partitioner(s): 2025-03-21T20:32:02.8352108Z [INFO 2025-03-21 20:32:02,105 export_llama_lib.py:815] --> QnnPartitioner 2025-03-21T20:32:02.8352669Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2 2025-03-21T20:32:02.8353308Z [WARNING] [Qnn ExecuTorch]: QnnDsp Initializing HtpProvider 2025-03-21T20:32:02.8353659Z 2025-03-21T20:32:02.8353984Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 2025-03-21T20:32:02.8354631Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. 2025-03-21T20:32:02.8355199Z [WARNING] [Qnn ExecuTorch]: QnnDsp Performance Estimates unsupported 2025-03-21T20:32:02.8355580Z 2025-03-21T20:32:02.8356348Z [WARNING] [Qnn ExecuTorch]: QnnDsp Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75 2025-03-21T20:32:02.8357256Z 2025-03-21T20:32:02.8357492Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization. 2025-03-21T20:32:02.8357985Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.8358529Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8359089Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.8359645Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8360190Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.8360701Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:02.8361218Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8361709Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.8362314Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.8362857Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8363409Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.8363950Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8364518Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.8365047Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.8365612Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.8366157Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8366953Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.8367594Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8368353Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.8368892Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.8369394Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:02.8369910Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.8370460Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8371016Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.8371565Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8372133Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.8372668Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:02.8373162Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.8373658Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.8374200Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8374750Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.8375306Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8376048Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.8376610Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.8377154Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8377683Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:02.8385241Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:02.8385759Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.8386240Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.8386733Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:02.8387270Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8387808Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:02.8388323Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.8388817Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:02.8389445Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8389964Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8390504Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8391042Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8391543Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8392080Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8392614Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8393261Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8393800Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8394391Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8395108Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8395647Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8396179Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8396687Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8397220Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8397741Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8398314Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8398848Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8399380Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8399886Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8400436Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8400970Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8401478Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8402007Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8402537Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8403043Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8403559Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8404095Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8404606Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8405139Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8405753Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8406348Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8406891Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8407430Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8407941Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8408476Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8409017Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.8409511Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:02.8410009Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8410524Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8411053Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8411587Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8412082Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8412616Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8413146Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8413661Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8414242Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8414768Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8415281Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8415815Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8416365Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8417030Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8417564Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8418082Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8418592Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8419125Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8419726Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8420237Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8420762Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8421298Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8421809Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8422343Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8422911Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8423419Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8423934Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8424472Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8425009Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8425540Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8426073Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8426569Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8427098Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8427716Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8428307Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.8428841Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8429388Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:02.8429906Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:02.8430448Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.8430992Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.8431503Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:02.8432039Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9869260Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9870247Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9870771Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:02.9871307Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9871886Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9872425Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.9872975Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9873454Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9873928Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:02.9874402Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9874879Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9875351Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.9875806Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9876434Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9876931Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:02.9877455Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9877927Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9878417Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9878950Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9879477Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9880001Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9880523Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:02.9881039Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:02.9881629Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9882154Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9882682Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9883206Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:02.9883730Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:02.9884243Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9884815Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9885338Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9885902Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9886438Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9887020Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9887631Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.9888174Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9888745Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9889297Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9889840Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9890395Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.9890941Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9891509Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9892067Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9892610Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9893166Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.9893717Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9894272Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9894824Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:02.9895321Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.9895822Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9896367Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9896975Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.9897634Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9898203Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9898728Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9899235Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9899790Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9900339Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.9900894Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9901509Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9902037Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9902534Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:02.9903047Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9903597Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9904157Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.9904709Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9905275Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9905890Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:02.9906517Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.9907015Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:02.9907561Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9908119Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:02.9908677Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9909230Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:02.9909828Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9910375Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9910914Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:02.9911432Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:02.9911935Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:02.9912434Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:02.9913015Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:02.9913550Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9914081Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:02.9914620Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9915331Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:02.9915825Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9916342Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9916885Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9917424Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9917936Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9918467Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9918986Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9919497Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9920028Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9920555Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9921060Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9921571Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9922100Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9922609Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9923137Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9923669Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9924175Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9924694Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9925228Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9925850Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9926541Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9927076Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9927568Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9928102Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9928637Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9929145Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9929674Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9930192Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9930703Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9931233Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9931820Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9932328Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9932860Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9933381Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9933895Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9934459Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9935100Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:02.9935608Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:02.9936089Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9936600Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9937159Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9937691Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9938200Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9938730Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9939245Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9939753Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9940288Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9940820Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9941330Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9941847Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:02.9942379Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:02.9942883Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1453885Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1454724Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1455243Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1455787Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1456306Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1456812Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1457340Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1457875Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1458382Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1458915Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1459430Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1459941Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1460470Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1461004Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1461700Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1462384Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1462918Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1463429Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1463964Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1464495Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1464989Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1465520Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1466060Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.1466836Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.1467468Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1468011Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1468503Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.1469033Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1469609Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1470160Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1470718Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.1471231Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1471805Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1472331Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.1472943Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1473497Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1474029Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.1474486Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1474951Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1475419Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.1475887Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1476358Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1476815Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.1477282Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1477748Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1478250Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1478783Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1479302Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1479830Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1480354Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.1480880Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.1481405Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1481928Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1482439Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1483147Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.1483679Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.1484207Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1484737Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1485269Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1485798Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1486310Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1486930Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1487488Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.1488043Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1488608Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1489149Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1489688Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1490244Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.1490793Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1491365Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1491996Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1492701Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1493261Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.1493820Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1494387Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1494940Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.1495464Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.1495971Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1496516Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1497075Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.1497629Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1498731Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1499249Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1499748Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1500288Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1500839Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.1501391Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1501939Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1502473Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1502963Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:03.1503634Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1504179Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1504720Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.1505272Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1505837Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1506387Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.1506882Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.1507380Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.1507900Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1508454Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.1509005Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1509570Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.1510121Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1510650Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1511179Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.1511697Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:03.1512236Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.1512918Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.1513410Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.1513924Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1514466Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:03.1514985Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.1515498Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.1515986Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1516507Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1517158Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1517698Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1518266Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1518791Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1519330Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1519846Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1520381Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1520925Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1521478Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1522098Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1522664Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1523252Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1523839Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1524375Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1524872Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1525405Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1525939Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1526448Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1526976Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.1527497Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1528007Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.1528539Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3058093Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3059105Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3059665Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3060211Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3060727Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3061263Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3061783Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3062293Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3062832Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3063372Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3063876Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3064408Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3064935Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3065445Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.3066049Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3066759Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3067453Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3067978Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3068495Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3069035Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3069580Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3070095Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3070615Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3071146Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3071656Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3072187Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3072846Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3073394Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3074090Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3074716Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3075237Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3075764Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3076361Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3076858Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3077393Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3077929Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3078486Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3079020Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3079550Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3080053Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3080696Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3081276Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3081817Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3082347Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3082866Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3083374Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3083903Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3084433Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3084942Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.3085476Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3086008Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.3086536Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.3087082Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3087627Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3088134Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.3088657Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3089231Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3089784Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3090289Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.3090818Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3091380Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3091906Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.3092422Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3092897Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3093373Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.3093849Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3094305Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3094783Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.3095256Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3095730Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3096201Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.3096658Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3097131Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3097667Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3098207Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3098743Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3099259Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3099786Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.3100320Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.3100878Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3101400Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3101928Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3102437Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.3102991Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.3103518Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3104049Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3104574Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3105086Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3105610Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3106149Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3106707Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.3107263Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3107826Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3108365Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3108915Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3109474Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.3110034Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3110600Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3111146Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3111692Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3112249Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.3112917Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3113484Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3114040Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.3114524Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.3115025Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3115573Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3116131Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.3116758Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3117375Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3117957Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3118533Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3119075Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3119634Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.3120173Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3120738Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3121263Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3121756Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:03.3122310Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3122849Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3123391Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.3123944Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3124508Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3125058Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.3125583Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.3126068Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.3126680Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3127294Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.3127943Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3128511Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.3129063Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.3129591Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.3130120Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.3130635Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:03.3131130Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.3131597Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.3132071Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.4655099Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4656044Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:03.4656567Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4657100Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.4657607Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4658110Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4658657Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4659194Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4659707Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4660237Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4660774Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4661270Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4661806Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4662337Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4662860Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4663396Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4663915Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4664428Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4665154Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4665697Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4666396Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4667229Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4667850Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4668363Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4668897Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4669437Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4669949Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4670468Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4671134Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4671649Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4672182Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4672718Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4673309Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4673900Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4674425Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4674935Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4675531Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4676477Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4677180Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4677902Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4678596Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4679221Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.4679793Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4680454Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4681037Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4681649Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4682310Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4682942Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4696032Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4696822Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4697367Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4697919Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4698446Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4698988Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4699528Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4700028Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4700562Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4701104Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4701651Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4702191Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4702721Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4703235Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4703775Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4704316Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4704956Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4705498Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4706031Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4706557Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4707102Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4707640Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4708154Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4708677Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4709222Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4709739Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4710308Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4710847Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4711364Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.4711887Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4712438Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.4713087Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.4713703Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4714254Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4714759Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.4715299Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.4715932Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.4716590Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4721458Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.4722037Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.4722608Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.4723145Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.4723612Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4724068Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4724516Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.4724959Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4725401Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4725843Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.4726290Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4747456Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4747909Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.4748359Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4748801Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.4749277Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4749783Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4750290Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4750799Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4751341Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.4751845Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.4752451Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4753148Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4753685Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4754231Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.4754819Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.4755325Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4755834Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4756339Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4756855Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.4757360Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4757884Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4758418Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.4758953Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4759497Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.4760065Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4760590Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4761127Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.4761661Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4762207Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.4762894Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4763489Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4764133Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.4764678Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4765283Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.4765841Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.4766340Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.4767096Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.4767628Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.4768188Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.4768748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6297172Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6298195Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6298716Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.6299270Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6299830Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.6300395Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6300967Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6301479Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6301983Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:03.6302506Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.6303055Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6303612Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.6304161Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6304728Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6305281Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.6305842Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.6306553Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.6307183Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6307732Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.6308460Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6309032Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6309592Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6310138Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6310662Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.6311180Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:03.6311680Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.6312153Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6312641Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.6313264Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6313835Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:03.6314410Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6315100Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.6315668Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6316178Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6316700Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6317305Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6317815Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6318348Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6318882Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6319436Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6319972Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6320510Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6321022Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6321551Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6322084Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6322580Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6323183Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6323896Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6324483Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6325014Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6325531Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6326042Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6326575Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6327107Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6327622Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6328153Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6328672Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6329181Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6329717Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6330255Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6330763Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6331283Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6331886Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6332580Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6333194Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6333785Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6334300Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6334819Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6335364Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6335873Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.6336376Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6336885Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6337408Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6337943Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6338458Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6338990Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6339557Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6340067Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6340816Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6341416Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6342102Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6342635Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6343234Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6343728Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6344259Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6344792Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6345335Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6345866Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6346385Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6346898Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6347431Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6347963Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6348475Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6349013Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6349535Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6350110Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6350836Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6351474Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6352095Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6352869Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6353420Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6353936Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6354474Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6355011Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6355510Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.6356049Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6356598Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.6357135Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.6357679Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.6358228Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6358727Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.6359264Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6359908Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6360467Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6360981Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.6361499Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6362118Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.6362838Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.6363400Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6363871Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6364340Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.6364791Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6365308Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6365771Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.6366240Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6366933Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6367387Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.6367854Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6368397Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.6368893Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6369425Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6369938Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.6370465Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.6371030Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.6371558Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.6372082Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.6372609Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.6373120Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8015211Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.8016198Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.8017164Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.8018114Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.8018937Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.8019848Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.8020803Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8021777Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8022808Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.8023795Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8024810Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.8025833Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8026829Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8027879Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.8028865Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8029929Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.8030964Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8031970Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8033121Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.8034081Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8035181Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.8036187Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.8037074Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.8037944Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8038915Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8039913Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.8040872Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8041812Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.8042745Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.8043623Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8044767Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8045782Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.8046727Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8047777Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.8048733Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.8049639Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:03.8050722Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8051616Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8052578Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.8053582Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8054730Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.8055716Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.8056572Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.8057489Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.8058436Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8059393Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.8060387Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8061397Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.8062427Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.8063379Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8064320Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.8065278Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:03.8066190Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.8067333Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.8068206Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.8069093Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8069974Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:03.8070888Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.8071798Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.8072666Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8073674Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8074628Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8075590Z [QNN Partitioner Op Support]: aten.select_copy.int | True 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2025-03-21T20:32:03.8086834Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8087743Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8088805Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8089761Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8090668Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8091518Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8092452Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8093351Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8094482Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8095464Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8096323Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8097314Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8098393Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8099301Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8100280Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8101229Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8102168Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8103140Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8104100Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8105033Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8105999Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8106855Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.8107750Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.8108636Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8109527Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8110476Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8111426Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8112361Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8113349Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8114230Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8115134Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8116065Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8117056Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8118005Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8118889Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8119875Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8120821Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8121790Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8122882Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8123758Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8124627Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8125589Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8126494Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8127440Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8128384Z [QNN Partitioner Op Support]: aten.select_copy.int | True 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2025-03-21T20:32:03.8139802Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8140712Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.8141564Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.8142628Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.8143561Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:03.8144517Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9751853Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9752967Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.9753904Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9754945Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9755831Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9756705Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.9757645Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9758661Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9759621Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.9760463Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9761255Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9762116Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.9762970Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9763816Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9764659Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.9765497Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9766230Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9767243Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:03.9768083Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9768896Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9769780Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9770704Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9771631Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9772804Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9773640Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.9774555Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.9775498Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9776427Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9777406Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9778338Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.9779256Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:03.9780219Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9781189Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9782282Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9783240Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9784064Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9784982Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9785990Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.9786973Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9788104Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9789080Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9790067Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9790996Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.9792057Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9793199Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9794176Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9795168Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9796163Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.9797019Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9797949Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9798912Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.9799721Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.9800529Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9801465Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9802460Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.9803432Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9804337Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9805274Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9806158Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9807121Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9808084Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.9809061Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9810099Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9810968Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9811812Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:03.9812736Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9813707Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9814739Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.9815731Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9816822Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9817841Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:03.9818735Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.9819641Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:03.9820625Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9821510Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:03.9822443Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9823459Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:03.9824445Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9825388Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9826395Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.9827328Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:03.9828168Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:03.9828929Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:03.9829779Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:03.9830720Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9831744Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:03.9832676Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9833684Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.9834562Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9835566Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9836560Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9837554Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9838496Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9839343Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9840231Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9841140Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9842077Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9843018Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9843909Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9844873Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9845819Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9846653Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9847588Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9848549Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9849471Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9850454Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9851365Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9852144Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9853023Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9853952Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9854787Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9855631Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9856551Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9857461Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9858401Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9859340Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9860230Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9861162Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9862107Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9862991Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9863926Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9864889Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9865728Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9866843Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9867807Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:03.9868845Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:03.9869759Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9870686Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9871590Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9872583Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9873652Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9874730Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9875713Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9876593Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9877436Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:03.9878481Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:03.9879393Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1565189Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1566276Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1567489Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1568402Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1569282Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1570176Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1571152Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1572128Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1573066Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1573967Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1574962Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1575910Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1576865Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1577865Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1578790Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1579621Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1580502Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1581423Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1582326Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1583234Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1584103Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1584999Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1585990Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1586833Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1587996Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1588957Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.1589877Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.1590884Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1591892Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1592673Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.1593615Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1594539Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1595480Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1596300Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.1597396Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1609310Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1610439Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.1611243Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1612095Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1612950Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.1613693Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1614734Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1615587Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.1616409Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1617269Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1618230Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.1618946Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1619684Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1620538Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1621448Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1622356Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1623227Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1624129Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.1625033Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.1626016Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1626865Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1627757Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1628678Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.1629606Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.1630587Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1631577Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1632461Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1633553Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1634519Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1635529Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1636568Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.1637506Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1638373Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1639337Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1640274Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1641228Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.1642293Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1643249Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1644213Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1645173Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1646051Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.1647005Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1648011Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1648993Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.1649894Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.1650781Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1651741Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1652571Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.1653481Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1654348Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1655187Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1655953Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1657005Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1662938Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.1663878Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1664830Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1665858Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1667053Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:04.1667884Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1668815Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1669776Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.1670744Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1671788Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1672909Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.1673735Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.1674687Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.1675668Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1676714Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.1677746Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1678645Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.1679503Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1680440Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1681354Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.1682220Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:04.1683048Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.1683849Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.1684654Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.1685638Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1686487Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:04.1687333Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.1688217Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.1689068Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1690182Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1691171Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1692068Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1693006Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1693976Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1694942Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1695886Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1696833Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1697661Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1698537Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1699456Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1700410Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1701270Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1702180Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1703114Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1704041Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1705084Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.1705992Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1707086Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.1708018Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3469718Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3470476Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3471116Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3471732Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3472294Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3472960Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3473579Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3474191Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3474803Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3475359Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3475909Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3476520Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3477135Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3477659Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3478270Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3478887Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3479478Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.3479978Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3480569Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3481188Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3481706Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3482305Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3482841Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3483444Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3483954Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3484483Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3485135Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3485738Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3486271Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3486804Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3487318Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3487842Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3488379Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3488889Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3489496Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3490031Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3490522Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3491052Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3491590Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3492101Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3492630Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3493165Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3493736Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3494273Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3494909Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3495422Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3496003Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3496616Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3497132Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3497675Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3498210Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3498729Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.3499267Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3499795Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.3500323Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.3500862Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3501416Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3501927Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.3502465Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3503048Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3503603Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3504111Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.3504626Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3505199Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3505729Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.3506207Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3506682Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3507144Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.3507617Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3508091Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3508564Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.3509031Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3509494Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3510112Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.3510581Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3511045Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3511540Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3512070Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3512582Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3513204Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3513729Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.3514250Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.3514776Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3515288Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3515812Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3516336Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.3516861Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.3517382Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3517893Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3518455Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3518977Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3519539Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3520087Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3520677Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.3521218Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3521785Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3522336Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3522874Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3523427Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.3523963Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3524529Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3525080Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3525623Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3526179Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.3526732Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3527286Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3527837Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.3528334Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.3528832Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3529368Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3529905Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.3530453Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3531020Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3531542Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3532038Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3532578Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3533116Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.3533667Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3534229Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3534780Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.3535274Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:04.3535851Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3536419Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3536973Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.3537523Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3538087Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3538634Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.3539114Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.3539610Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.3540158Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3540710Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.3541261Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3541813Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.3542365Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.3542943Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.3543472Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.3544021Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:04.5284297Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.5285186Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5285875Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.5286417Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5286934Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:04.5287451Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5287957Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.5288456Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5288965Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5289494Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5290029Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5290547Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5291082Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5291626Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5292140Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5292660Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5293198Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5293707Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5294237Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5294777Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5295273Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5295804Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5296339Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5296980Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5297858Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5298379Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5298894Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5299462Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5300093Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5300605Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5301139Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5301674Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5302174Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5302708Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5303243Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5303756Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5304286Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5304819Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5305313Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5305848Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5306380Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5306888Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5307421Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5307951Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5308531Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.5309030Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5309613Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5310141Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5310706Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5311204Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5311735Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5312270Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5312905Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5313449Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5313971Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5314490Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5315025Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5315569Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5316082Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5316612Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5317133Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5317639Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5318172Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5318703Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5319210Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5319727Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5320258Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5320771Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5321300Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5321838Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5322333Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5322869Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5323405Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5323914Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5324486Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5325021Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5325515Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5326046Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5326577Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5327087Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.5327623Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5328152Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.5328678Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.5329217Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5329758Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5330268Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.5330802Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.5331365Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.5331920Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5332429Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.5333129Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.5333744Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.5334330Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.5334806Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5335299Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5335771Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.5336241Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5336712Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5337192Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.5337667Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5338126Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5338604Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.5339081Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5339552Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.5340059Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5340576Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5341108Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5341641Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5342172Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.5342708Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.5343223Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5343754Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5344278Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5344803Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.5345330Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.5345853Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5346462Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5346990Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5347516Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.5348041Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5348581Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5349175Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.5349729Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5350294Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.5350851Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5351395Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5352064Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.5352612Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5353267Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.5353831Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5354373Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5354930Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.5355470Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.5356037Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.5356587Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.5357088Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.5357584Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.5358175Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7106343Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.7107297Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7107879Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7108664Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7109220Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.7109767Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7110324Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.7110882Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7111439Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7111966Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7112462Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:04.7113076Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.7113630Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7114187Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.7114730Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7115301Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7115854Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.7116415Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.7116913Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.7117447Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7118000Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.7118556Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7119118Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7119670Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.7120208Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7120730Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.7121241Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:04.7121738Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.7122204Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7122805Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.7123322Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7123847Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:04.7124358Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.7124872Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.7125370Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7125872Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7126402Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7126935Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7127464Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7128023Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7128556Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7129049Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7129578Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7130110Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7130617Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7131224Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7131815Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7132332Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7132866Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7133476Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7133989Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7134529Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7135051Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7135564Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7136105Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7136642Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7137154Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7137670Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7138211Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7138799Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7139334Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7139868Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7140377Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7140899Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7141427Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7141933Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7142459Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7142994Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7143491Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7144018Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7144560Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.7145065Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.7145560Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7146056Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7146591Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7147168Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7147683Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7148219Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7148841Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7149343Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7149876Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7150413Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7150923Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7151458Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7151979Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7152484Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7153112Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7153648Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7154165Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7154702Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7155230Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7155785Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7156321Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7156901Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7157419Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7157967Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7158524Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7159088Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7159617Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7160150Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7160657Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7161174Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7161707Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7162213Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7162748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7163285Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7163779Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.7164312Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7164851Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.7165373Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:04.7165915Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.7166443Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.7167165Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.7167695Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7168272Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7168899Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.7169409Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.7169922Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7170498Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.7171022Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.7171491Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7172047Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7172509Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.7172982Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7173456Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7173926Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.7174402Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7174855Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7175324Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:04.7175791Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7176260Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.7176754Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.7177283Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.7177821Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.7178401Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.7178936Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.7179467Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.7179998Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.8983325Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.8984119Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.8984921Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.8985442Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:04.8986055Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.8986585Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.8987157Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.8987693Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.8988216Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.8988761Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.8989321Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.8989874Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.8990445Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.8991006Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.8991546Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.8992105Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.8992658Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.8993312Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.8993869Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.8994409Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.8994963Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.8995516Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.8996070Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.8996622Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.8997212Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.8997876Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.8998423Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.8999055Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.8999669Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9000443Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.9001249Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.9011002Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.9011744Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9012316Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.9012896Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9013472Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.9013993Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.9014499Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:04.9015035Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.9015583Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9016145Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.9016694Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9017268Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.9017823Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:04.9018326Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.9018988Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:04.9019535Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9020126Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:04.9020841Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9021582Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:04.9022148Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.9022691Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9023216Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.9023736Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:04.9024233Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:04.9024703Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:04.9025185Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:04.9025714Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9026224Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:04.9026735Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.9027237Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.9027736Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9028248Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9028765Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9029305Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9029817Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9030357Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9030894Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9031578Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9032159Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9032697Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9033333Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9033870Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9034408Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9034902Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9035434Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9036026Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9036541Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9037062Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9037574Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9038092Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9038620Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9039152Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9039661Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9040196Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9040712Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9041217Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9041748Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9042494Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9043117Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9043638Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9044172Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9044762Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9045343Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9045882Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9046392Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9046949Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9047495Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:04.9048001Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:04.9048499Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9049010Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9049527Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9050062Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9050573Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9051103Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9051768Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9052392Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9052973Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9053506Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9054014Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9054554Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9055088Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9055590Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9056127Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9056658Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9057173Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9057705Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9058226Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9058737Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9059269Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9059807Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9060313Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9060903Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9061425Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9061941Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9062478Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9063022Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9063538Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9064063Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9064604Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9065258Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9065957Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9066499Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9067338Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:04.9067863Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:04.9068416Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:05.0873218Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:05.0874266Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0874978Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0875494Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:05.0876111Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0876697Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0877300Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0877811Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:05.0878342Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0878924Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0879457Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:05.0879921Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0880396Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0880867Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:05.0881334Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0881803Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0882267Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:05.0882718Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0883188Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0883781Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:05.0884398Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0884870Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0885356Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0885888Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0886422Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0886950Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0887482Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.0888000Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.0888528Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0889055Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0889582Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0890109Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.0890633Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.0891225Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0891761Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0892295Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0892832Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0893370Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0893904Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0894468Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.0895025Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0895593Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0896148Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0896718Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0897403Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.0898002Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0898591Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0899133Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0899728Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0900290Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.0900893Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0901461Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0902050Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:05.0902539Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:05.0903042Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0903592Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0904151Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.0904716Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0905267Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0905798Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0906299Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0906845Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0907402Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.0907972Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0908698Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0909271Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0909763Z [QNN Partitioner Op Support]: aten.sigmoid.default | True 2025-03-21T20:32:05.0910292Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0910833Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0911376Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.0911931Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0912498Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0913148Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:05.0913651Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:05.0914138Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.0914683Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0915246Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.0915803Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0916418Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.0916973Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0917501Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0918037Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:05.0918564Z [QNN Partitioner Op Support]: aten._softmax.default | True 2025-03-21T20:32:05.0919062Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:05.0919673Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.0920284Z [QNN Partitioner Op Support]: aten.matmul.default | True 2025-03-21T20:32:05.0920853Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0921500Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:05.0922009Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0922519Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:05.0923007Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0923523Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0924063Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0924601Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0925171Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0925708Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0926272Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0926789Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0927317Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0927881Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0928387Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0928911Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0929442Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0929949Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0930481Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0931018Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0931531Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0932050Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0932648Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0933346Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0933917Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0934452Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0934948Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0935485Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0936019Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0936532Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0937059Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0937596Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0938089Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0938619Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0939148Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0939653Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0940183Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0940702Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0941209Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0941798Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0942349Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.0942859Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:05.0943344Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0943871Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0944655Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0945235Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0945746Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0946283Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.0946804Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0947313Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.0947854Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7836111Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7837117Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7838108Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7838889Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7839905Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7840763Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7841513Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7842218Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7843046Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7843800Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7844512Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7845272Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7846027Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7846726Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7847474Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7848233Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7848948Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7849695Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7850431Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7851147Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7851901Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7852649Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7853366Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7854114Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7854853Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7855560Z [QNN Partitioner Op Support]: aten.select_copy.int | True 2025-03-21T20:32:05.7856305Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7857074Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:05.7857816Z [QNN Partitioner Op Support]: aten.index_put.default | True 2025-03-21T20:32:05.7858556Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7859309Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7860017Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:05.7860756Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.7861567Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.7862412Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7863106Z [QNN Partitioner Op Support]: aten.cat.default | True 2025-03-21T20:32:05.7863844Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.7864651Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.7865389Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:05.7866041Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7866914Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7867570Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:05.7868220Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7868873Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7869524Z [QNN Partitioner Op Support]: aten.add.Tensor | True 2025-03-21T20:32:05.7870157Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7870809Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7871462Z [QNN Partitioner Op Support]: aten.sub.Tensor | True 2025-03-21T20:32:05.7872111Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7872836Z [QNN Partitioner Op Support]: aten.mul.Tensor | True 2025-03-21T20:32:05.7873605Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7874350Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7875170Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.7875906Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.7876643Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.7877447Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.7878167Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7878898Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.7879639Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.7880372Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.7881118Z [QNN Partitioner Op Support]: aten.slice_copy.Tensor | True 2025-03-21T20:32:05.7881843Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7882584Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7883327Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7884071Z [QNN Partitioner Op Support]: aten.view_copy.default | True 2025-03-21T20:32:05.7884815Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.7885578Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7886347Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.7887125Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7887928Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.7888697Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.7889455Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7890218Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.7890992Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7891787Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.7892558Z [QNN Partitioner Op Support]: aten.squeeze_copy.dims | True 2025-03-21T20:32:05.7893313Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7894088Z [QNN Partitioner Op Support]: aten.convolution.default | True 2025-03-21T20:32:05.7894849Z [QNN Partitioner Op Support]: aten.permute_copy.default | True 2025-03-21T20:32:05.7895643Z [QNN Partitioner Op Support]: aten.unsqueeze_copy.default | True 2025-03-21T20:32:05.7896489Z [QNN Partitioner Op Support]: aten.rms_norm.default | True 2025-03-21T20:32:05.7897195Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:05.7897875Z [QNN Partitioner Op Support]: aten.index.Tensor | True 2025-03-21T20:32:05.7898578Z [QNN Partitioner Op Support]: aten.embedding.default | True 2025-03-21T20:32:05.7899313Z [QNN Partitioner Op Support]: aten._to_copy.default | True 2025-03-21T20:32:05.7900059Z [QNN Partitioner Op Support]: aten._to_copy.default | True 2025-03-21T20:32:05.7900997Z [INFO 2025-03-21 20:32:05,251 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7902134Z [INFO 2025-03-21 20:32:05,251 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7903245Z [INFO 2025-03-21 20:32:05,251 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7904365Z [INFO 2025-03-21 20:32:05,252 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7905517Z [INFO 2025-03-21 20:32:05,252 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7906640Z [INFO 2025-03-21 20:32:05,252 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7907764Z [INFO 2025-03-21 20:32:05,252 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7908937Z [INFO 2025-03-21 20:32:05,252 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7910100Z [INFO 2025-03-21 20:32:05,252 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7911267Z [INFO 2025-03-21 20:32:05,253 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7912377Z [INFO 2025-03-21 20:32:05,253 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7913605Z [INFO 2025-03-21 20:32:05,253 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7914727Z [INFO 2025-03-21 20:32:05,253 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7915853Z [INFO 2025-03-21 20:32:05,253 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7916979Z [INFO 2025-03-21 20:32:05,253 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7918111Z [INFO 2025-03-21 20:32:05,254 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7919231Z [INFO 2025-03-21 20:32:05,254 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7920344Z [INFO 2025-03-21 20:32:05,254 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7921473Z [INFO 2025-03-21 20:32:05,254 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7922593Z [INFO 2025-03-21 20:32:05,254 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7923722Z [INFO 2025-03-21 20:32:05,254 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7924847Z [INFO 2025-03-21 20:32:05,255 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7925960Z [INFO 2025-03-21 20:32:05,255 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7927067Z [INFO 2025-03-21 20:32:05,255 utils.py:363] The buffer node is a mutated buffer node, which is not constant. 2025-03-21T20:32:05.7927964Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters 2025-03-21T20:32:05.7928574Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context 2025-03-21T20:32:05.7929121Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device 2025-03-21T20:32:05.7929670Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend 2025-03-21T20:32:05.7930325Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2 2025-03-21T20:32:05.7931214Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 2025-03-21T20:32:05.7932118Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in SAVE MODE. 2025-03-21T20:32:06.7427187Z [WARNING] [Qnn ExecuTorch]: QnnDsp Performance Estimates unsupported 2025-03-21T20:32:06.7428001Z 2025-03-21T20:32:06.7428839Z [WARNING] [Qnn ExecuTorch]: QnnDsp Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75 2025-03-21T20:32:06.7429875Z 2025-03-21T20:32:06.7430180Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization. 2025-03-21T20:32:06.7431371Z [INFO 2025-03-21 20:32:06,570 qnn_preprocess.py:69] Visiting: aten__to_copy_default, aten._to_copy.default 2025-03-21T20:32:06.7432928Z [INFO 2025-03-21 20:32:06,571 qnn_preprocess.py:69] Visiting: aten__to_copy_default_1, aten._to_copy.default 2025-03-21T20:32:06.7434323Z [INFO 2025-03-21 20:32:06,572 qnn_preprocess.py:69] Visiting: aten_embedding_default, aten.embedding.default 2025-03-21T20:32:06.7435792Z [INFO 2025-03-21 20:32:06,686 qnn_preprocess.py:69] Visiting: aten_index_tensor, aten.index.Tensor 2025-03-21T20:32:06.7437059Z 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2025-03-21T20:32:13.9448947Z [INFO 2025-03-21 20:32:13,937 builder.py:443] graph(): 2025-03-21T20:32:13.9449878Z %b_layers_0_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9451263Z %b_layers_0_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9452263Z %b_layers_1_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9453289Z %b_layers_1_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9454736Z %b_layers_2_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9455793Z %b_layers_2_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9456878Z %b_layers_3_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9458360Z %b_layers_3_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9459771Z %b_layers_4_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9461117Z %b_layers_4_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9462197Z %b_layers_5_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9463198Z %b_layers_5_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9464682Z %b_layers_6_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9465678Z %b_layers_6_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9466981Z %b_layers_7_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9468587Z %b_layers_7_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9469999Z %b_layers_8_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9471207Z %b_layers_8_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9472448Z %b_layers_9_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9473943Z %b_layers_9_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9475320Z %b_layers_10_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9476658Z %b_layers_10_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9477855Z %b_layers_11_attention_kv_cache_past_k_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9479266Z %b_layers_11_attention_kv_cache_past_v_caches : [num_users=2] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9480054Z %tokens : [num_users=1] = placeholder[target=tokens] 2025-03-21T20:32:13.9480631Z %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos] 2025-03-21T20:32:13.9481278Z %lowered_module_0 : [num_users=1] = get_attr[target=lowered_module_0] 2025-03-21T20:32:13.9481740Z backend_id: QnnBackend 2025-03-21T20:32:13.9482047Z lowered graph(): 2025-03-21T20:32:13.9482462Z %b__frozen_param0 : [num_users=1] = placeholder[target=b__frozen_param0] 2025-03-21T20:32:13.9483059Z %b__frozen_param1 : [num_users=1] = placeholder[target=b__frozen_param1] 2025-03-21T20:32:13.9483653Z %b__frozen_param2 : [num_users=1] = placeholder[target=b__frozen_param2] 2025-03-21T20:32:13.9484237Z %b__frozen_param3 : [num_users=1] = placeholder[target=b__frozen_param3] 2025-03-21T20:32:13.9484810Z %b__frozen_param4 : [num_users=1] = placeholder[target=b__frozen_param4] 2025-03-21T20:32:13.9485402Z %b__frozen_param5 : [num_users=1] = placeholder[target=b__frozen_param5] 2025-03-21T20:32:13.9485990Z %b__frozen_param6 : [num_users=1] = placeholder[target=b__frozen_param6] 2025-03-21T20:32:13.9486577Z %b__frozen_param7 : [num_users=1] = placeholder[target=b__frozen_param7] 2025-03-21T20:32:13.9487165Z %b__frozen_param8 : [num_users=1] = placeholder[target=b__frozen_param8] 2025-03-21T20:32:13.9487738Z %b__frozen_param9 : [num_users=1] = placeholder[target=b__frozen_param9] 2025-03-21T20:32:13.9488334Z %b__frozen_param10 : [num_users=1] = placeholder[target=b__frozen_param10] 2025-03-21T20:32:13.9488941Z %b__frozen_param11 : [num_users=1] = placeholder[target=b__frozen_param11] 2025-03-21T20:32:13.9489546Z %b__frozen_param12 : [num_users=1] = placeholder[target=b__frozen_param12] 2025-03-21T20:32:13.9490151Z %b__frozen_param13 : [num_users=1] = placeholder[target=b__frozen_param13] 2025-03-21T20:32:13.9490749Z %b__frozen_param14 : [num_users=1] = placeholder[target=b__frozen_param14] 2025-03-21T20:32:13.9491340Z %b__frozen_param15 : [num_users=1] = placeholder[target=b__frozen_param15] 2025-03-21T20:32:13.9491938Z %b__frozen_param16 : [num_users=1] = placeholder[target=b__frozen_param16] 2025-03-21T20:32:13.9492590Z %b__frozen_param17 : [num_users=1] = placeholder[target=b__frozen_param17] 2025-03-21T20:32:13.9493195Z %b__frozen_param18 : [num_users=1] = placeholder[target=b__frozen_param18] 2025-03-21T20:32:13.9493800Z %b__frozen_param19 : [num_users=1] = placeholder[target=b__frozen_param19] 2025-03-21T20:32:13.9494405Z %b__frozen_param20 : [num_users=1] = placeholder[target=b__frozen_param20] 2025-03-21T20:32:13.9494996Z %b__frozen_param21 : [num_users=1] = placeholder[target=b__frozen_param21] 2025-03-21T20:32:13.9495602Z %b__frozen_param22 : [num_users=1] = placeholder[target=b__frozen_param22] 2025-03-21T20:32:13.9496206Z %b__frozen_param23 : [num_users=1] = placeholder[target=b__frozen_param23] 2025-03-21T20:32:13.9496807Z %b__frozen_param24 : [num_users=1] = placeholder[target=b__frozen_param24] 2025-03-21T20:32:13.9497405Z %b__frozen_param25 : [num_users=1] = placeholder[target=b__frozen_param25] 2025-03-21T20:32:13.9498005Z %b__frozen_param26 : [num_users=1] = placeholder[target=b__frozen_param26] 2025-03-21T20:32:13.9498591Z %b__frozen_param27 : [num_users=1] = placeholder[target=b__frozen_param27] 2025-03-21T20:32:13.9499192Z %b__frozen_param28 : [num_users=1] = placeholder[target=b__frozen_param28] 2025-03-21T20:32:13.9499791Z %b__frozen_param29 : [num_users=1] = placeholder[target=b__frozen_param29] 2025-03-21T20:32:13.9500428Z %b__frozen_param30 : [num_users=1] = placeholder[target=b__frozen_param30] 2025-03-21T20:32:13.9501026Z %b__frozen_param31 : [num_users=1] = placeholder[target=b__frozen_param31] 2025-03-21T20:32:13.9501656Z %b__frozen_param32 : [num_users=1] = placeholder[target=b__frozen_param32] 2025-03-21T20:32:13.9502275Z %b__frozen_param33 : [num_users=1] = placeholder[target=b__frozen_param33] 2025-03-21T20:32:13.9502879Z %b__frozen_param34 : [num_users=1] = placeholder[target=b__frozen_param34] 2025-03-21T20:32:13.9503480Z %b__frozen_param35 : [num_users=1] = placeholder[target=b__frozen_param35] 2025-03-21T20:32:13.9504085Z %b__frozen_param36 : [num_users=1] = placeholder[target=b__frozen_param36] 2025-03-21T20:32:13.9517095Z %b__frozen_param37 : [num_users=1] = placeholder[target=b__frozen_param37] 2025-03-21T20:32:13.9517827Z %b__frozen_param38 : [num_users=1] = placeholder[target=b__frozen_param38] 2025-03-21T20:32:13.9518448Z %b__frozen_param39 : [num_users=1] = placeholder[target=b__frozen_param39] 2025-03-21T20:32:13.9519057Z %b__frozen_param40 : [num_users=1] = placeholder[target=b__frozen_param40] 2025-03-21T20:32:13.9519665Z %b__frozen_param41 : [num_users=1] = placeholder[target=b__frozen_param41] 2025-03-21T20:32:13.9520265Z %b__frozen_param42 : [num_users=1] = placeholder[target=b__frozen_param42] 2025-03-21T20:32:13.9520867Z %b__frozen_param43 : [num_users=1] = placeholder[target=b__frozen_param43] 2025-03-21T20:32:13.9521456Z %b__frozen_param44 : [num_users=1] = placeholder[target=b__frozen_param44] 2025-03-21T20:32:13.9522057Z %b__frozen_param45 : [num_users=1] = placeholder[target=b__frozen_param45] 2025-03-21T20:32:13.9522659Z %b__frozen_param46 : [num_users=1] = placeholder[target=b__frozen_param46] 2025-03-21T20:32:13.9523288Z %b__frozen_param47 : [num_users=1] = placeholder[target=b__frozen_param47] 2025-03-21T20:32:13.9523887Z %b__frozen_param48 : [num_users=1] = placeholder[target=b__frozen_param48] 2025-03-21T20:32:13.9524477Z %b__frozen_param49 : [num_users=1] = placeholder[target=b__frozen_param49] 2025-03-21T20:32:13.9525084Z %b__frozen_param50 : [num_users=1] = placeholder[target=b__frozen_param50] 2025-03-21T20:32:13.9525686Z %b__frozen_param51 : [num_users=1] = placeholder[target=b__frozen_param51] 2025-03-21T20:32:13.9526289Z %b__frozen_param52 : [num_users=1] = placeholder[target=b__frozen_param52] 2025-03-21T20:32:13.9526893Z %b__frozen_param53 : [num_users=1] = placeholder[target=b__frozen_param53] 2025-03-21T20:32:13.9527495Z %b__frozen_param54 : [num_users=1] = placeholder[target=b__frozen_param54] 2025-03-21T20:32:13.9528082Z %b__frozen_param55 : [num_users=1] = placeholder[target=b__frozen_param55] 2025-03-21T20:32:13.9528688Z %b__frozen_param56 : [num_users=1] = placeholder[target=b__frozen_param56] 2025-03-21T20:32:13.9529294Z %b__frozen_param57 : [num_users=1] = placeholder[target=b__frozen_param57] 2025-03-21T20:32:13.9529896Z %b__frozen_param58 : [num_users=1] = placeholder[target=b__frozen_param58] 2025-03-21T20:32:13.9530498Z %b__frozen_param59 : [num_users=1] = placeholder[target=b__frozen_param59] 2025-03-21T20:32:13.9531103Z %b__frozen_param60 : [num_users=1] = placeholder[target=b__frozen_param60] 2025-03-21T20:32:13.9531694Z %b__frozen_param61 : [num_users=1] = placeholder[target=b__frozen_param61] 2025-03-21T20:32:13.9532300Z %b__frozen_param62 : [num_users=1] = placeholder[target=b__frozen_param62] 2025-03-21T20:32:13.9532907Z %b__frozen_param63 : [num_users=1] = placeholder[target=b__frozen_param63] 2025-03-21T20:32:13.9533516Z %b__frozen_param64 : [num_users=1] = placeholder[target=b__frozen_param64] 2025-03-21T20:32:13.9534123Z %b__frozen_param65 : [num_users=1] = placeholder[target=b__frozen_param65] 2025-03-21T20:32:13.9534733Z %b__frozen_param66 : [num_users=1] = placeholder[target=b__frozen_param66] 2025-03-21T20:32:13.9535398Z %b__frozen_param67 : [num_users=1] = placeholder[target=b__frozen_param67] 2025-03-21T20:32:13.9536005Z %b__frozen_param68 : [num_users=1] = placeholder[target=b__frozen_param68] 2025-03-21T20:32:13.9536652Z %b__frozen_param69 : [num_users=1] = placeholder[target=b__frozen_param69] 2025-03-21T20:32:13.9537255Z %b__frozen_param70 : [num_users=1] = placeholder[target=b__frozen_param70] 2025-03-21T20:32:13.9537887Z %b__frozen_param71 : [num_users=1] = placeholder[target=b__frozen_param71] 2025-03-21T20:32:13.9538492Z %b__frozen_param72 : [num_users=1] = placeholder[target=b__frozen_param72] 2025-03-21T20:32:13.9539081Z %b__frozen_param73 : [num_users=1] = placeholder[target=b__frozen_param73] 2025-03-21T20:32:13.9539679Z %b__frozen_param74 : [num_users=1] = placeholder[target=b__frozen_param74] 2025-03-21T20:32:13.9540377Z %b__frozen_param75 : [num_users=1] = placeholder[target=b__frozen_param75] 2025-03-21T20:32:13.9540977Z %b__frozen_param76 : [num_users=1] = placeholder[target=b__frozen_param76] 2025-03-21T20:32:13.9541585Z %b__frozen_param77 : [num_users=1] = placeholder[target=b__frozen_param77] 2025-03-21T20:32:13.9542194Z %b__frozen_param78 : [num_users=1] = placeholder[target=b__frozen_param78] 2025-03-21T20:32:13.9542779Z %b__frozen_param79 : [num_users=1] = placeholder[target=b__frozen_param79] 2025-03-21T20:32:13.9543385Z %b__frozen_param80 : [num_users=1] = placeholder[target=b__frozen_param80] 2025-03-21T20:32:13.9543989Z %b__frozen_param81 : [num_users=1] = placeholder[target=b__frozen_param81] 2025-03-21T20:32:13.9544598Z %b__frozen_param82 : [num_users=1] = placeholder[target=b__frozen_param82] 2025-03-21T20:32:13.9545201Z %b__frozen_param83 : [num_users=1] = placeholder[target=b__frozen_param83] 2025-03-21T20:32:13.9545795Z %b__frozen_param84 : [num_users=1] = placeholder[target=b__frozen_param84] 2025-03-21T20:32:13.9546401Z %b__frozen_param85 : [num_users=1] = placeholder[target=b__frozen_param85] 2025-03-21T20:32:13.9547005Z %b__frozen_param86 : [num_users=1] = placeholder[target=b__frozen_param86] 2025-03-21T20:32:13.9547611Z %b__frozen_param87 : [num_users=1] = placeholder[target=b__frozen_param87] 2025-03-21T20:32:13.9548211Z %b__frozen_param88 : [num_users=1] = placeholder[target=b__frozen_param88] 2025-03-21T20:32:13.9548815Z %b__frozen_param89 : [num_users=1] = placeholder[target=b__frozen_param89] 2025-03-21T20:32:13.9549403Z %b__frozen_param90 : [num_users=1] = placeholder[target=b__frozen_param90] 2025-03-21T20:32:13.9550001Z %b__frozen_param91 : [num_users=1] = placeholder[target=b__frozen_param91] 2025-03-21T20:32:13.9550602Z %b__frozen_param92 : [num_users=1] = placeholder[target=b__frozen_param92] 2025-03-21T20:32:13.9551204Z %b__frozen_param93 : [num_users=1] = placeholder[target=b__frozen_param93] 2025-03-21T20:32:13.9551801Z %b__frozen_param94 : [num_users=1] = placeholder[target=b__frozen_param94] 2025-03-21T20:32:13.9552407Z %b__frozen_param95 : [num_users=1] = placeholder[target=b__frozen_param95] 2025-03-21T20:32:13.9553127Z %b__frozen_param96 : [num_users=1] = placeholder[target=b__frozen_param96] 2025-03-21T20:32:13.9553741Z %b__frozen_param97 : [num_users=1] = placeholder[target=b__frozen_param97] 2025-03-21T20:32:13.9554348Z %b__frozen_param98 : [num_users=1] = placeholder[target=b__frozen_param98] 2025-03-21T20:32:13.9554956Z %b__frozen_param99 : [num_users=1] = placeholder[target=b__frozen_param99] 2025-03-21T20:32:13.9555573Z %b__frozen_param100 : [num_users=1] = placeholder[target=b__frozen_param100] 2025-03-21T20:32:13.9556203Z %b__frozen_param101 : [num_users=1] = placeholder[target=b__frozen_param101] 2025-03-21T20:32:13.9556807Z %b__frozen_param102 : [num_users=1] = placeholder[target=b__frozen_param102] 2025-03-21T20:32:13.9557426Z %b__frozen_param103 : [num_users=1] = placeholder[target=b__frozen_param103] 2025-03-21T20:32:13.9558040Z %b__frozen_param104 : [num_users=1] = placeholder[target=b__frozen_param104] 2025-03-21T20:32:13.9558695Z %b__frozen_param105 : [num_users=1] = placeholder[target=b__frozen_param105] 2025-03-21T20:32:13.9559347Z %b__frozen_param106 : [num_users=1] = placeholder[target=b__frozen_param106] 2025-03-21T20:32:13.9559966Z %b__frozen_param107 : [num_users=1] = placeholder[target=b__frozen_param107] 2025-03-21T20:32:13.9560598Z %b__frozen_param108 : [num_users=1] = placeholder[target=b__frozen_param108] 2025-03-21T20:32:13.9561214Z %b__frozen_param109 : [num_users=1] = placeholder[target=b__frozen_param109] 2025-03-21T20:32:13.9561829Z %b__frozen_param110 : [num_users=1] = placeholder[target=b__frozen_param110] 2025-03-21T20:32:13.9562444Z %b__frozen_param111 : [num_users=1] = placeholder[target=b__frozen_param111] 2025-03-21T20:32:13.9563113Z %b__frozen_param112 : [num_users=1] = placeholder[target=b__frozen_param112] 2025-03-21T20:32:13.9563727Z %b__frozen_param113 : [num_users=0] = placeholder[target=b__frozen_param113] 2025-03-21T20:32:13.9564329Z %b__frozen_param114 : [num_users=0] = placeholder[target=b__frozen_param114] 2025-03-21T20:32:13.9564945Z %b__frozen_param115 : [num_users=1] = placeholder[target=b__frozen_param115] 2025-03-21T20:32:13.9565561Z %b__frozen_param116 : [num_users=0] = placeholder[target=b__frozen_param116] 2025-03-21T20:32:13.9566184Z %b__frozen_param117 : [num_users=0] = placeholder[target=b__frozen_param117] 2025-03-21T20:32:13.9567074Z %b__frozen_param118 : [num_users=1] = placeholder[target=b__frozen_param118] 2025-03-21T20:32:13.9567693Z %b__frozen_param119 : [num_users=0] = placeholder[target=b__frozen_param119] 2025-03-21T20:32:13.9568293Z %b__frozen_param120 : [num_users=0] = placeholder[target=b__frozen_param120] 2025-03-21T20:32:13.9568914Z %b__frozen_param121 : [num_users=1] = placeholder[target=b__frozen_param121] 2025-03-21T20:32:13.9569530Z %b__frozen_param122 : [num_users=0] = placeholder[target=b__frozen_param122] 2025-03-21T20:32:13.9570148Z %b__frozen_param123 : [num_users=0] = placeholder[target=b__frozen_param123] 2025-03-21T20:32:13.9570767Z %b__frozen_param124 : [num_users=1] = placeholder[target=b__frozen_param124] 2025-03-21T20:32:13.9571384Z %b__frozen_param125 : [num_users=0] = placeholder[target=b__frozen_param125] 2025-03-21T20:32:13.9571990Z %b__frozen_param126 : [num_users=0] = placeholder[target=b__frozen_param126] 2025-03-21T20:32:13.9572608Z %b__frozen_param127 : [num_users=1] = placeholder[target=b__frozen_param127] 2025-03-21T20:32:13.9573231Z %b__frozen_param128 : [num_users=0] = placeholder[target=b__frozen_param128] 2025-03-21T20:32:13.9573850Z %b__frozen_param129 : [num_users=0] = placeholder[target=b__frozen_param129] 2025-03-21T20:32:13.9574477Z %b__frozen_param130 : [num_users=1] = placeholder[target=b__frozen_param130] 2025-03-21T20:32:13.9575094Z %b__frozen_param131 : [num_users=0] = placeholder[target=b__frozen_param131] 2025-03-21T20:32:13.9575701Z %b__frozen_param132 : [num_users=0] = placeholder[target=b__frozen_param132] 2025-03-21T20:32:13.9576320Z %b__frozen_param133 : [num_users=1] = placeholder[target=b__frozen_param133] 2025-03-21T20:32:13.9576938Z %b__frozen_param134 : [num_users=0] = placeholder[target=b__frozen_param134] 2025-03-21T20:32:13.9577557Z %b__frozen_param135 : [num_users=0] = placeholder[target=b__frozen_param135] 2025-03-21T20:32:13.9578175Z %b__frozen_param136 : [num_users=1] = placeholder[target=b__frozen_param136] 2025-03-21T20:32:13.9578796Z %b__frozen_param137 : [num_users=0] = placeholder[target=b__frozen_param137] 2025-03-21T20:32:13.9579399Z %b__frozen_param138 : [num_users=0] = placeholder[target=b__frozen_param138] 2025-03-21T20:32:13.9580029Z %b__frozen_param139 : [num_users=1] = placeholder[target=b__frozen_param139] 2025-03-21T20:32:13.9580650Z %b__frozen_param140 : [num_users=0] = placeholder[target=b__frozen_param140] 2025-03-21T20:32:13.9581363Z %b__frozen_param141 : [num_users=0] = placeholder[target=b__frozen_param141] 2025-03-21T20:32:13.9581989Z %b__frozen_param142 : [num_users=1] = placeholder[target=b__frozen_param142] 2025-03-21T20:32:13.9582654Z %b__frozen_param143 : [num_users=0] = placeholder[target=b__frozen_param143] 2025-03-21T20:32:13.9583301Z %b__frozen_param144 : [num_users=0] = placeholder[target=b__frozen_param144] 2025-03-21T20:32:13.9583925Z %b__frozen_param145 : [num_users=1] = placeholder[target=b__frozen_param145] 2025-03-21T20:32:13.9584542Z %b__frozen_param146 : [num_users=0] = placeholder[target=b__frozen_param146] 2025-03-21T20:32:13.9585157Z %b__frozen_param147 : [num_users=0] = placeholder[target=b__frozen_param147] 2025-03-21T20:32:13.9585834Z %b__frozen_param148 : [num_users=1] = placeholder[target=b__frozen_param148] 2025-03-21T20:32:13.9586454Z %b__frozen_param149 : [num_users=1] = placeholder[target=b__frozen_param149] 2025-03-21T20:32:13.9587058Z %b__frozen_param150 : [num_users=1] = placeholder[target=b__frozen_param150] 2025-03-21T20:32:13.9587677Z %b__frozen_param151 : [num_users=1] = placeholder[target=b__frozen_param151] 2025-03-21T20:32:13.9588291Z %b__frozen_param152 : [num_users=1] = placeholder[target=b__frozen_param152] 2025-03-21T20:32:13.9588907Z %b__frozen_param153 : [num_users=1] = placeholder[target=b__frozen_param153] 2025-03-21T20:32:13.9589524Z %b__frozen_param154 : [num_users=1] = placeholder[target=b__frozen_param154] 2025-03-21T20:32:13.9590142Z %b__frozen_param155 : [num_users=1] = placeholder[target=b__frozen_param155] 2025-03-21T20:32:13.9590743Z %b__frozen_param156 : [num_users=1] = placeholder[target=b__frozen_param156] 2025-03-21T20:32:13.9591365Z %b__frozen_param157 : [num_users=1] = placeholder[target=b__frozen_param157] 2025-03-21T20:32:13.9591979Z %b__frozen_param158 : [num_users=1] = placeholder[target=b__frozen_param158] 2025-03-21T20:32:13.9592601Z %b__frozen_param159 : [num_users=1] = placeholder[target=b__frozen_param159] 2025-03-21T20:32:13.9593311Z %b__frozen_param160 : [num_users=1] = placeholder[target=b__frozen_param160] 2025-03-21T20:32:13.9594139Z %b_layers_0_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9595141Z %b_layers_0_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9596149Z %b_layers_1_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9597149Z %b_layers_1_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9598156Z %b_layers_2_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9599163Z %b_layers_2_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9600329Z %b_layers_3_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9614076Z %b_layers_3_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9615103Z %b_layers_4_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9616103Z %b_layers_4_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9617087Z %b_layers_5_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9618076Z %b_layers_5_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9619159Z %b_layers_6_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9620190Z %b_layers_6_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_6_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9621219Z %b_layers_7_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9622213Z %b_layers_7_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_7_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9623239Z %b_layers_8_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9624230Z %b_layers_8_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_8_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9625208Z %b_layers_9_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9626212Z %b_layers_9_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_9_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9627212Z %b_layers_10_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9628213Z %b_layers_10_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_10_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9629212Z %b_layers_11_attention_kv_cache_past_v_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_v_caches] 2025-03-21T20:32:13.9630220Z %b_layers_11_attention_kv_cache_past_k_caches : [num_users=1] = placeholder[target=b_layers_11_attention_kv_cache_past_k_caches] 2025-03-21T20:32:13.9630943Z %tokens : [num_users=1] = placeholder[target=tokens] 2025-03-21T20:32:13.9631487Z %attn_options_input_pos : [num_users=1] = placeholder[target=attn_options_input_pos] 2025-03-21T20:32:13.9632526Z %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}) 2025-03-21T20:32:13.9634078Z %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}) 2025-03-21T20:32:13.9635601Z %aten_embedding_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.embedding.default](args = (%b__frozen_param0, %aten__to_copy_default), kwargs = {}) 2025-03-21T20:32:13.9637095Z %aten_index_tensor : [num_users=12] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param111, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9638570Z %aten_index_tensor_1 : [num_users=12] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param112, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9640028Z %aten_index_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param115, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9641484Z %aten_index_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param118, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9642935Z %aten_index_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param121, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9644397Z %aten_index_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param124, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9645908Z %aten_index_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param127, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9647396Z %aten_index_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param130, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9648844Z %aten_index_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param133, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9650347Z %aten_index_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param136, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9651820Z %aten_index_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param139, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9653286Z %aten_index_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param142, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9654760Z %aten_index_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param145, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9656229Z %aten_index_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b__frozen_param148, [%aten__to_copy_default_1]), kwargs = {}) 2025-03-21T20:32:13.9657805Z %aten_rms_norm_default : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.rms_norm.default](args = (%aten_embedding_default, [768], %b__frozen_param1, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:13.9659370Z %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 = {}) 2025-03-21T20:32:13.9660821Z %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 = {}) 2025-03-21T20:32:13.9662265Z %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 = {}) 2025-03-21T20:32:13.9663697Z %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 = {}) 2025-03-21T20:32:13.9665137Z %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 = {}) 2025-03-21T20:32:13.9666872Z %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 = {}) 2025-03-21T20:32:13.9668353Z %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 = {}) 2025-03-21T20:32:13.9669824Z %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 = {}) 2025-03-21T20:32:13.9671298Z %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 = {}) 2025-03-21T20:32:13.9672915Z %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 = {}) 2025-03-21T20:32:13.9674450Z %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 = {}) 2025-03-21T20:32:13.9675912Z %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 = {}) 2025-03-21T20:32:13.9677371Z %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 = {}) 2025-03-21T20:32:13.9678876Z %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 = {}) 2025-03-21T20:32:13.9680331Z %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 = {}) 2025-03-21T20:32:13.9681783Z %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 = {}) 2025-03-21T20:32:13.9683231Z %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 = {}) 2025-03-21T20:32:13.9684694Z %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 = {}) 2025-03-21T20:32:13.9686151Z %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 = {}) 2025-03-21T20:32:13.9687616Z %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 = {}) 2025-03-21T20:32:13.9689080Z %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 = {}) 2025-03-21T20:32:13.9690542Z %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 = {}) 2025-03-21T20:32:13.9692005Z %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 = {}) 2025-03-21T20:32:13.9693473Z %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 = {}) 2025-03-21T20:32:13.9694974Z %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 = {}) 2025-03-21T20:32:13.9696498Z %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 = {}) 2025-03-21T20:32:13.9698007Z %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 = {}) 2025-03-21T20:32:13.9699566Z %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 = {}) 2025-03-21T20:32:13.9701197Z %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 = {}) 2025-03-21T20:32:13.9702863Z %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 = {}) 2025-03-21T20:32:13.9704627Z %aten_convolution_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default, %b__frozen_param2, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9706602Z %aten_convolution_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_2, %b__frozen_param3, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9708532Z %aten_convolution_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_4, %b__frozen_param4, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9710279Z %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 = {}) 2025-03-21T20:32:13.9711846Z %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 = {}) 2025-03-21T20:32:13.9713513Z %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 = {}) 2025-03-21T20:32:13.9715040Z %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 = {}) 2025-03-21T20:32:13.9716499Z %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 = {}) 2025-03-21T20:32:13.9717957Z %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 = {}) 2025-03-21T20:32:13.9719426Z %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 = {}) 2025-03-21T20:32:13.9720895Z %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 = {}) 2025-03-21T20:32:13.9722381Z %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 = {}) 2025-03-21T20:32:13.9723892Z %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 = {}) 2025-03-21T20:32:13.9725398Z %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 = {}) 2025-03-21T20:32:13.9727162Z %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 = {}) 2025-03-21T20:32:13.9728921Z %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 = {}) 2025-03-21T20:32:13.9730431Z %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 = {}) 2025-03-21T20:32:13.9731885Z %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 = {}) 2025-03-21T20:32:13.9733361Z %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 = {}) 2025-03-21T20:32:13.9734866Z %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 = {}) 2025-03-21T20:32:13.9736432Z %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 = {}) 2025-03-21T20:32:13.9737995Z %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 = {}) 2025-03-21T20:32:13.9739558Z %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 = {}) 2025-03-21T20:32:13.9741110Z %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 = {}) 2025-03-21T20:32:13.9742680Z %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 = {}) 2025-03-21T20:32:13.9744239Z %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 = {}) 2025-03-21T20:32:13.9745798Z %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 = {}) 2025-03-21T20:32:13.9747349Z %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 = {}) 2025-03-21T20:32:13.9748898Z %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 = {}) 2025-03-21T20:32:13.9750455Z %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 = {}) 2025-03-21T20:32:13.9752015Z %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 = {}) 2025-03-21T20:32:13.9753589Z %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 = {}) 2025-03-21T20:32:13.9755022Z %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 = {}) 2025-03-21T20:32:13.9756489Z %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 = {}) 2025-03-21T20:32:13.9757956Z %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 = {}) 2025-03-21T20:32:13.9759416Z %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 = {}) 2025-03-21T20:32:13.9760840Z %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 = {}) 2025-03-21T20:32:13.9762294Z %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 = {}) 2025-03-21T20:32:13.9763718Z %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 = {}) 2025-03-21T20:32:13.9765147Z %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 = {}) 2025-03-21T20:32:13.9766939Z %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 = {}) 2025-03-21T20:32:13.9768370Z %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 = {}) 2025-03-21T20:32:13.9769788Z %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 = {}) 2025-03-21T20:32:13.9771206Z %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 = {}) 2025-03-21T20:32:13.9772622Z %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 = {}) 2025-03-21T20:32:13.9774029Z %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 = {}) 2025-03-21T20:32:13.9775451Z %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 = {}) 2025-03-21T20:32:13.9776898Z %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 = {}) 2025-03-21T20:32:13.9778374Z %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 = {}) 2025-03-21T20:32:13.9779844Z %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 = {}) 2025-03-21T20:32:13.9781314Z %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 = {}) 2025-03-21T20:32:13.9782782Z %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 = {}) 2025-03-21T20:32:13.9784332Z %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 = {}) 2025-03-21T20:32:13.9785888Z %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 = {}) 2025-03-21T20:32:13.9787364Z %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 = {}) 2025-03-21T20:32:13.9788794Z %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 = {}) 2025-03-21T20:32:13.9790208Z %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 = {}) 2025-03-21T20:32:13.9791602Z %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 = {}) 2025-03-21T20:32:13.9793096Z %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 = {}) 2025-03-21T20:32:13.9794480Z %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 = {}) 2025-03-21T20:32:13.9795862Z %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 = {}) 2025-03-21T20:32:13.9797254Z %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 = {}) 2025-03-21T20:32:13.9798650Z %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 = {}) 2025-03-21T20:32:13.9800048Z %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 = {}) 2025-03-21T20:32:13.9801435Z %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 = {}) 2025-03-21T20:32:13.9802826Z %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 = {}) 2025-03-21T20:32:13.9804214Z %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 = {}) 2025-03-21T20:32:13.9805587Z %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 = {}) 2025-03-21T20:32:13.9806940Z %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 = {}) 2025-03-21T20:32:13.9808297Z %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 = {}) 2025-03-21T20:32:13.9809653Z %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 = {}) 2025-03-21T20:32:13.9811960Z %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 = {}) 2025-03-21T20:32:13.9814424Z %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 = {}) 2025-03-21T20:32:13.9815899Z %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 = {}) 2025-03-21T20:32:13.9817415Z %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 = {}) 2025-03-21T20:32:13.9818905Z %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 = {}) 2025-03-21T20:32:13.9820381Z %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 = {}) 2025-03-21T20:32:13.9821928Z %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 = {}) 2025-03-21T20:32:13.9823559Z %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 = {}) 2025-03-21T20:32:13.9825084Z %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 = {}) 2025-03-21T20:32:13.9826522Z %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 = {}) 2025-03-21T20:32:13.9828031Z %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 = {}) 2025-03-21T20:32:13.9829796Z %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 = {}) 2025-03-21T20:32:13.9831569Z %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 = {}) 2025-03-21T20:32:13.9833206Z %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 = {}) 2025-03-21T20:32:13.9834748Z %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 = {}) 2025-03-21T20:32:13.9836288Z %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 = {}) 2025-03-21T20:32:13.9837835Z %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 = {}) 2025-03-21T20:32:13.9839383Z %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 = {}) 2025-03-21T20:32:13.9840975Z %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 = {}) 2025-03-21T20:32:13.9842578Z %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 = {}) 2025-03-21T20:32:13.9844112Z %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 = {}) 2025-03-21T20:32:13.9845659Z %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 = {}) 2025-03-21T20:32:13.9847206Z %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 = {}) 2025-03-21T20:32:13.9848747Z %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 = {}) 2025-03-21T20:32:13.9850228Z %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 = {}) 2025-03-21T20:32:13.9851646Z %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 = {}) 2025-03-21T20:32:13.9853059Z %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 = {}) 2025-03-21T20:32:13.9854484Z %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 = {}) 2025-03-21T20:32:13.9855899Z %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 = {}) 2025-03-21T20:32:13.9857325Z %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 = {}) 2025-03-21T20:32:13.9858754Z %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 = {}) 2025-03-21T20:32:13.9860169Z %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 = {}) 2025-03-21T20:32:13.9861585Z %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 = {}) 2025-03-21T20:32:13.9863011Z %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 = {}) 2025-03-21T20:32:13.9864428Z %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 = {}) 2025-03-21T20:32:13.9865848Z %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 = {}) 2025-03-21T20:32:13.9867488Z %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 = {}) 2025-03-21T20:32:13.9868929Z %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 = {}) 2025-03-21T20:32:13.9870349Z %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 = {}) 2025-03-21T20:32:13.9871732Z %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 = {}) 2025-03-21T20:32:13.9873246Z %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 = {}) 2025-03-21T20:32:13.9874641Z %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 = {}) 2025-03-21T20:32:13.9876042Z %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 = {}) 2025-03-21T20:32:13.9877433Z %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 = {}) 2025-03-21T20:32:13.9878835Z %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 = {}) 2025-03-21T20:32:13.9880239Z %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 = {}) 2025-03-21T20:32:13.9881649Z %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 = {}) 2025-03-21T20:32:13.9883063Z %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 = {}) 2025-03-21T20:32:13.9885403Z %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 = {}) 2025-03-21T20:32:13.9887782Z %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 = {}) 2025-03-21T20:32:13.9889310Z %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 = {}) 2025-03-21T20:32:13.9890938Z %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 = {}) 2025-03-21T20:32:13.9892473Z %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default, %b__frozen_param149), kwargs = {}) 2025-03-21T20:32:13.9893870Z %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 = {}) 2025-03-21T20:32:13.9895322Z %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 = {}) 2025-03-21T20:32:13.9896847Z %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 = {}) 2025-03-21T20:32:13.9898412Z %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 = {}) 2025-03-21T20:32:13.9899948Z %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 = {}) 2025-03-21T20:32:13.9901518Z %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 = {}) 2025-03-21T20:32:13.9903110Z %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 = {}) 2025-03-21T20:32:13.9904896Z %aten_convolution_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_33, %b__frozen_param5, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9906665Z %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 = {}) 2025-03-21T20:32:13.9908198Z %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 = {}) 2025-03-21T20:32:13.9909682Z %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 = {}) 2025-03-21T20:32:13.9911245Z %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], %b__frozen_param6, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:13.9912913Z %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 = {}) 2025-03-21T20:32:13.9914456Z %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 = {}) 2025-03-21T20:32:13.9916045Z %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 = {}) 2025-03-21T20:32:13.9917653Z %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 = {}) 2025-03-21T20:32:13.9919445Z %aten_convolution_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_35, %b__frozen_param7, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9921396Z %aten_convolution_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_37, %b__frozen_param8, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9923168Z %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 = {}) 2025-03-21T20:32:13.9924812Z %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 = {}) 2025-03-21T20:32:13.9926369Z %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 = {}) 2025-03-21T20:32:13.9927845Z %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 = {}) 2025-03-21T20:32:13.9929321Z %aten_sigmoid_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_squeeze_copy_dims_8,), kwargs = {}) 2025-03-21T20:32:13.9930755Z %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 = {}) 2025-03-21T20:32:13.9932203Z %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 = {}) 2025-03-21T20:32:13.9933671Z %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 = {}) 2025-03-21T20:32:13.9935241Z %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 = {}) 2025-03-21T20:32:13.9937035Z %aten_convolution_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_39, %b__frozen_param9, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9938801Z %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 = {}) 2025-03-21T20:32:13.9940342Z %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 = {}) 2025-03-21T20:32:13.9941799Z %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 = {}) 2025-03-21T20:32:13.9943336Z %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], %b__frozen_param10, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:13.9944933Z %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 = {}) 2025-03-21T20:32:13.9946482Z %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 = {}) 2025-03-21T20:32:13.9948022Z %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 = {}) 2025-03-21T20:32:13.9949608Z %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 = {}) 2025-03-21T20:32:13.9951226Z %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 = {}) 2025-03-21T20:32:13.9953000Z %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 = {}) 2025-03-21T20:32:13.9954823Z %aten_convolution_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_41, %b__frozen_param11, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9956816Z %aten_convolution_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_43, %b__frozen_param12, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9958761Z %aten_convolution_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_45, %b__frozen_param13, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:13.9960541Z %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 = {}) 2025-03-21T20:32:13.9962118Z %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 = {}) 2025-03-21T20:32:13.9963692Z %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 = {}) 2025-03-21T20:32:13.9965235Z %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 = {}) 2025-03-21T20:32:13.9966883Z %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 = {}) 2025-03-21T20:32:13.9968364Z %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 = {}) 2025-03-21T20:32:13.9969866Z %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 = {}) 2025-03-21T20:32:13.9971387Z %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 = {}) 2025-03-21T20:32:13.9972901Z %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 = {}) 2025-03-21T20:32:13.9974434Z %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 = {}) 2025-03-21T20:32:13.9975969Z %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 = {}) 2025-03-21T20:32:13.9977752Z %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 = {}) 2025-03-21T20:32:13.9979486Z %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 = {}) 2025-03-21T20:32:13.9980995Z %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 = {}) 2025-03-21T20:32:13.9982528Z %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 = {}) 2025-03-21T20:32:13.9983997Z %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 = {}) 2025-03-21T20:32:13.9985579Z %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 = {}) 2025-03-21T20:32:13.9987151Z %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 = {}) 2025-03-21T20:32:13.9988723Z %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 = {}) 2025-03-21T20:32:13.9990297Z %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 = {}) 2025-03-21T20:32:13.9991871Z %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 = {}) 2025-03-21T20:32:13.9993560Z %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 = {}) 2025-03-21T20:32:13.9995136Z %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 = {}) 2025-03-21T20:32:13.9996702Z %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 = {}) 2025-03-21T20:32:13.9998247Z %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 = {}) 2025-03-21T20:32:13.9999800Z %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 = {}) 2025-03-21T20:32:14.0001355Z %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 = {}) 2025-03-21T20:32:14.0002907Z %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 = {}) 2025-03-21T20:32:14.0004415Z %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 = {}) 2025-03-21T20:32:14.0005856Z %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 = {}) 2025-03-21T20:32:14.0007281Z %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 = {}) 2025-03-21T20:32:14.0008759Z %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 = {}) 2025-03-21T20:32:14.0010237Z %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 = {}) 2025-03-21T20:32:14.0011663Z %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 = {}) 2025-03-21T20:32:14.0013118Z %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 = {}) 2025-03-21T20:32:14.0014536Z %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 = {}) 2025-03-21T20:32:14.0015954Z %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 = {}) 2025-03-21T20:32:14.0017382Z %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 = {}) 2025-03-21T20:32:14.0018802Z %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 = {}) 2025-03-21T20:32:14.0020229Z %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 = {}) 2025-03-21T20:32:14.0021648Z %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 = {}) 2025-03-21T20:32:14.0023082Z %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 = {}) 2025-03-21T20:32:14.0024507Z %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 = {}) 2025-03-21T20:32:14.0025925Z %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 = {}) 2025-03-21T20:32:14.0027382Z %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 = {}) 2025-03-21T20:32:14.0028880Z %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 = {}) 2025-03-21T20:32:14.0030362Z %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 = {}) 2025-03-21T20:32:14.0031845Z %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 = {}) 2025-03-21T20:32:14.0033403Z %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 = {}) 2025-03-21T20:32:14.0034895Z %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 = {}) 2025-03-21T20:32:14.0036412Z %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 = {}) 2025-03-21T20:32:14.0037960Z %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 = {}) 2025-03-21T20:32:14.0039405Z %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 = {}) 2025-03-21T20:32:14.0040819Z %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 = {}) 2025-03-21T20:32:14.0042206Z %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 = {}) 2025-03-21T20:32:14.0043594Z %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 = {}) 2025-03-21T20:32:14.0044983Z %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 = {}) 2025-03-21T20:32:14.0046365Z %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 = {}) 2025-03-21T20:32:14.0047757Z %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 = {}) 2025-03-21T20:32:14.0049130Z %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 = {}) 2025-03-21T20:32:14.0050514Z %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 = {}) 2025-03-21T20:32:14.0051915Z %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 = {}) 2025-03-21T20:32:14.0053298Z %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 = {}) 2025-03-21T20:32:14.0054694Z %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 = {}) 2025-03-21T20:32:14.0056074Z %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 = {}) 2025-03-21T20:32:14.0057443Z %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 = {}) 2025-03-21T20:32:14.0058816Z %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 = {}) 2025-03-21T20:32:14.0060188Z %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 = {}) 2025-03-21T20:32:14.0062507Z %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 = {}) 2025-03-21T20:32:14.0064969Z %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 = {}) 2025-03-21T20:32:14.0066465Z %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 = {}) 2025-03-21T20:32:14.0068142Z %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 = {}) 2025-03-21T20:32:14.0069636Z %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 = {}) 2025-03-21T20:32:14.0071126Z %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 = {}) 2025-03-21T20:32:14.0072687Z %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 = {}) 2025-03-21T20:32:14.0074401Z %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 = {}) 2025-03-21T20:32:14.0075953Z %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 = {}) 2025-03-21T20:32:14.0077413Z %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 = {}) 2025-03-21T20:32:14.0078921Z %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 = {}) 2025-03-21T20:32:14.0080714Z %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 = {}) 2025-03-21T20:32:14.0082501Z %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 = {}) 2025-03-21T20:32:14.0084067Z %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 = {}) 2025-03-21T20:32:14.0085629Z %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 = {}) 2025-03-21T20:32:14.0087185Z %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 = {}) 2025-03-21T20:32:14.0088725Z %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 = {}) 2025-03-21T20:32:14.0090283Z %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 = {}) 2025-03-21T20:32:14.0091888Z %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 = {}) 2025-03-21T20:32:14.0093522Z %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 = {}) 2025-03-21T20:32:14.0095088Z %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 = {}) 2025-03-21T20:32:14.0096673Z %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 = {}) 2025-03-21T20:32:14.0098231Z %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 = {}) 2025-03-21T20:32:14.0099798Z %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 = {}) 2025-03-21T20:32:14.0101298Z %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 = {}) 2025-03-21T20:32:14.0102722Z %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 = {}) 2025-03-21T20:32:14.0104151Z %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 = {}) 2025-03-21T20:32:14.0105563Z %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 = {}) 2025-03-21T20:32:14.0106986Z %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 = {}) 2025-03-21T20:32:14.0108403Z %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 = {}) 2025-03-21T20:32:14.0109833Z %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 = {}) 2025-03-21T20:32:14.0111260Z %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 = {}) 2025-03-21T20:32:14.0112679Z %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 = {}) 2025-03-21T20:32:14.0114203Z %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 = {}) 2025-03-21T20:32:14.0115619Z %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 = {}) 2025-03-21T20:32:14.0117042Z %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 = {}) 2025-03-21T20:32:14.0118444Z %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 = {}) 2025-03-21T20:32:14.0119894Z %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 = {}) 2025-03-21T20:32:14.0121299Z %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 = {}) 2025-03-21T20:32:14.0122677Z %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 = {}) 2025-03-21T20:32:14.0124092Z %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 = {}) 2025-03-21T20:32:14.0125491Z %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 = {}) 2025-03-21T20:32:14.0126882Z %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 = {}) 2025-03-21T20:32:14.0128272Z %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 = {}) 2025-03-21T20:32:14.0129666Z %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 = {}) 2025-03-21T20:32:14.0131053Z %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 = {}) 2025-03-21T20:32:14.0132438Z %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 = {}) 2025-03-21T20:32:14.0133829Z %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 = {}) 2025-03-21T20:32:14.0136178Z %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 = {}) 2025-03-21T20:32:14.0138553Z %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 = {}) 2025-03-21T20:32:14.0140083Z %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 = {}) 2025-03-21T20:32:14.0141695Z %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 = {}) 2025-03-21T20:32:14.0143236Z %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_2, %b__frozen_param150), kwargs = {}) 2025-03-21T20:32:14.0144650Z %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 = {}) 2025-03-21T20:32:14.0146097Z %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 = {}) 2025-03-21T20:32:14.0147649Z %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 = {}) 2025-03-21T20:32:14.0149240Z %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 = {}) 2025-03-21T20:32:14.0150777Z %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 = {}) 2025-03-21T20:32:14.0152350Z %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 = {}) 2025-03-21T20:32:14.0154049Z %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 = {}) 2025-03-21T20:32:14.0155866Z %aten_convolution_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_74, %b__frozen_param14, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0157658Z %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 = {}) 2025-03-21T20:32:14.0159207Z %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 = {}) 2025-03-21T20:32:14.0160666Z %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 = {}) 2025-03-21T20:32:14.0162194Z %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], %b__frozen_param15, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0163786Z %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 = {}) 2025-03-21T20:32:14.0165337Z %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 = {}) 2025-03-21T20:32:14.0167077Z %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 = {}) 2025-03-21T20:32:14.0168706Z %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 = {}) 2025-03-21T20:32:14.0170512Z %aten_convolution_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_76, %b__frozen_param16, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0172486Z %aten_convolution_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_78, %b__frozen_param17, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0174263Z %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 = {}) 2025-03-21T20:32:14.0175966Z %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 = {}) 2025-03-21T20:32:14.0177540Z %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 = {}) 2025-03-21T20:32:14.0179021Z %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 = {}) 2025-03-21T20:32:14.0180508Z %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 = {}) 2025-03-21T20:32:14.0181958Z %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 = {}) 2025-03-21T20:32:14.0183412Z %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 = {}) 2025-03-21T20:32:14.0184883Z %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 = {}) 2025-03-21T20:32:14.0186452Z %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 = {}) 2025-03-21T20:32:14.0188253Z %aten_convolution_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_80, %b__frozen_param18, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0190032Z %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 = {}) 2025-03-21T20:32:14.0191568Z %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 = {}) 2025-03-21T20:32:14.0193101Z %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 = {}) 2025-03-21T20:32:14.0194647Z %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], %b__frozen_param19, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0196245Z %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 = {}) 2025-03-21T20:32:14.0197816Z %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 = {}) 2025-03-21T20:32:14.0199356Z %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 = {}) 2025-03-21T20:32:14.0200945Z %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 = {}) 2025-03-21T20:32:14.0202634Z %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 = {}) 2025-03-21T20:32:14.0204315Z %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 = {}) 2025-03-21T20:32:14.0206119Z %aten_convolution_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_82, %b__frozen_param20, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0208234Z %aten_convolution_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_84, %b__frozen_param21, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0210187Z %aten_convolution_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_86, %b__frozen_param22, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0211972Z %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 = {}) 2025-03-21T20:32:14.0213565Z %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 = {}) 2025-03-21T20:32:14.0215169Z %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 = {}) 2025-03-21T20:32:14.0216712Z %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 = {}) 2025-03-21T20:32:14.0218197Z %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 = {}) 2025-03-21T20:32:14.0219679Z %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 = {}) 2025-03-21T20:32:14.0221183Z %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 = {}) 2025-03-21T20:32:14.0222702Z %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 = {}) 2025-03-21T20:32:14.0224219Z %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 = {}) 2025-03-21T20:32:14.0225741Z %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 = {}) 2025-03-21T20:32:14.0227268Z %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 = {}) 2025-03-21T20:32:14.0229047Z %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 = {}) 2025-03-21T20:32:14.0230782Z %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 = {}) 2025-03-21T20:32:14.0232304Z %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 = {}) 2025-03-21T20:32:14.0233900Z %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 = {}) 2025-03-21T20:32:14.0235379Z %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 = {}) 2025-03-21T20:32:14.0236937Z %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 = {}) 2025-03-21T20:32:14.0238529Z %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 = {}) 2025-03-21T20:32:14.0240111Z %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 = {}) 2025-03-21T20:32:14.0241689Z %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 = {}) 2025-03-21T20:32:14.0243280Z %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 = {}) 2025-03-21T20:32:14.0244852Z %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 = {}) 2025-03-21T20:32:14.0246440Z %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 = {}) 2025-03-21T20:32:14.0248008Z %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 = {}) 2025-03-21T20:32:14.0249578Z %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 = {}) 2025-03-21T20:32:14.0251154Z %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 = {}) 2025-03-21T20:32:14.0252726Z %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 = {}) 2025-03-21T20:32:14.0254304Z %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 = {}) 2025-03-21T20:32:14.0255816Z %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 = {}) 2025-03-21T20:32:14.0257260Z %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 = {}) 2025-03-21T20:32:14.0258830Z %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 = {}) 2025-03-21T20:32:14.0260329Z %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 = {}) 2025-03-21T20:32:14.0261833Z %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 = {}) 2025-03-21T20:32:14.0263280Z %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 = {}) 2025-03-21T20:32:14.0264738Z %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 = {}) 2025-03-21T20:32:14.0266189Z %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 = {}) 2025-03-21T20:32:14.0267876Z %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 = {}) 2025-03-21T20:32:14.0269473Z %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 = {}) 2025-03-21T20:32:14.0270935Z %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 = {}) 2025-03-21T20:32:14.0272387Z %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 = {}) 2025-03-21T20:32:14.0273937Z %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 = {}) 2025-03-21T20:32:14.0275389Z %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 = {}) 2025-03-21T20:32:14.0276842Z %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 = {}) 2025-03-21T20:32:14.0278287Z %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 = {}) 2025-03-21T20:32:14.0279766Z %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 = {}) 2025-03-21T20:32:14.0281256Z %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 = {}) 2025-03-21T20:32:14.0282761Z %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 = {}) 2025-03-21T20:32:14.0284261Z %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 = {}) 2025-03-21T20:32:14.0285766Z %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 = {}) 2025-03-21T20:32:14.0287265Z %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 = {}) 2025-03-21T20:32:14.0288964Z %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 = {}) 2025-03-21T20:32:14.0290496Z %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 = {}) 2025-03-21T20:32:14.0291958Z %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 = {}) 2025-03-21T20:32:14.0293429Z %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 = {}) 2025-03-21T20:32:14.0295364Z %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 = {}) 2025-03-21T20:32:14.0296832Z %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 = {}) 2025-03-21T20:32:14.0298261Z %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 = {}) 2025-03-21T20:32:14.0299656Z %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 = {}) 2025-03-21T20:32:14.0301062Z %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 = {}) 2025-03-21T20:32:14.0302474Z %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 = {}) 2025-03-21T20:32:14.0303885Z %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 = {}) 2025-03-21T20:32:14.0305291Z %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 = {}) 2025-03-21T20:32:14.0306701Z %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 = {}) 2025-03-21T20:32:14.0308111Z %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 = {}) 2025-03-21T20:32:14.0309514Z %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 = {}) 2025-03-21T20:32:14.0310902Z %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 = {}) 2025-03-21T20:32:14.0312399Z %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 = {}) 2025-03-21T20:32:14.0313869Z %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 = {}) 2025-03-21T20:32:14.0316331Z %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 = {}) 2025-03-21T20:32:14.0318925Z %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 = {}) 2025-03-21T20:32:14.0320413Z %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 = {}) 2025-03-21T20:32:14.0321952Z %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 = {}) 2025-03-21T20:32:14.0323457Z %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 = {}) 2025-03-21T20:32:14.0324951Z %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 = {}) 2025-03-21T20:32:14.0326519Z %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 = {}) 2025-03-21T20:32:14.0328166Z %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 = {}) 2025-03-21T20:32:14.0329725Z %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 = {}) 2025-03-21T20:32:14.0331193Z %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 = {}) 2025-03-21T20:32:14.0332708Z %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 = {}) 2025-03-21T20:32:14.0334505Z %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 = {}) 2025-03-21T20:32:14.0336302Z %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 = {}) 2025-03-21T20:32:14.0337878Z %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 = {}) 2025-03-21T20:32:14.0339560Z %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 = {}) 2025-03-21T20:32:14.0341132Z %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 = {}) 2025-03-21T20:32:14.0342703Z %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 = {}) 2025-03-21T20:32:14.0344300Z %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 = {}) 2025-03-21T20:32:14.0345924Z %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 = {}) 2025-03-21T20:32:14.0347496Z %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 = {}) 2025-03-21T20:32:14.0349096Z %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 = {}) 2025-03-21T20:32:14.0350674Z %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 = {}) 2025-03-21T20:32:14.0352241Z %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 = {}) 2025-03-21T20:32:14.0353900Z %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 = {}) 2025-03-21T20:32:14.0355413Z %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 = {}) 2025-03-21T20:32:14.0356860Z %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 = {}) 2025-03-21T20:32:14.0358290Z %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 = {}) 2025-03-21T20:32:14.0359747Z %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 = {}) 2025-03-21T20:32:14.0361341Z %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 = {}) 2025-03-21T20:32:14.0362783Z %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 = {}) 2025-03-21T20:32:14.0364230Z %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 = {}) 2025-03-21T20:32:14.0365889Z %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 = {}) 2025-03-21T20:32:14.0367552Z %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 = {}) 2025-03-21T20:32:14.0369002Z %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 = {}) 2025-03-21T20:32:14.0370453Z %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 = {}) 2025-03-21T20:32:14.0371902Z %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 = {}) 2025-03-21T20:32:14.0373451Z %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 = {}) 2025-03-21T20:32:14.0374928Z %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 = {}) 2025-03-21T20:32:14.0376337Z %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 = {}) 2025-03-21T20:32:14.0377799Z %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 = {}) 2025-03-21T20:32:14.0379213Z %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 = {}) 2025-03-21T20:32:14.0380627Z %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 = {}) 2025-03-21T20:32:14.0382040Z %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 = {}) 2025-03-21T20:32:14.0383456Z %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 = {}) 2025-03-21T20:32:14.0384867Z %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 = {}) 2025-03-21T20:32:14.0386271Z %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 = {}) 2025-03-21T20:32:14.0387694Z %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 = {}) 2025-03-21T20:32:14.0389105Z %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 = {}) 2025-03-21T20:32:14.0391512Z %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 = {}) 2025-03-21T20:32:14.0394023Z %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 = {}) 2025-03-21T20:32:14.0395567Z %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 = {}) 2025-03-21T20:32:14.0397191Z %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 = {}) 2025-03-21T20:32:14.0405423Z %aten_mul_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_4, %b__frozen_param151), kwargs = {}) 2025-03-21T20:32:14.0406945Z %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 = {}) 2025-03-21T20:32:14.0408511Z %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 = {}) 2025-03-21T20:32:14.0410052Z %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 = {}) 2025-03-21T20:32:14.0411619Z %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 = {}) 2025-03-21T20:32:14.0413200Z %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 = {}) 2025-03-21T20:32:14.0414747Z %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 = {}) 2025-03-21T20:32:14.0416348Z %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 = {}) 2025-03-21T20:32:14.0418153Z %aten_convolution_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_115, %b__frozen_param23, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0419947Z %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 = {}) 2025-03-21T20:32:14.0421499Z %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 = {}) 2025-03-21T20:32:14.0422956Z %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 = {}) 2025-03-21T20:32:14.0424482Z %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], %b__frozen_param24, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0426071Z %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 = {}) 2025-03-21T20:32:14.0427656Z %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 = {}) 2025-03-21T20:32:14.0429950Z %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 = {}) 2025-03-21T20:32:14.0431653Z %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 = {}) 2025-03-21T20:32:14.0433578Z %aten_convolution_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_117, %b__frozen_param25, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0435561Z %aten_convolution_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_119, %b__frozen_param26, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0437414Z %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 = {}) 2025-03-21T20:32:14.0439088Z %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 = {}) 2025-03-21T20:32:14.0441474Z %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 = {}) 2025-03-21T20:32:14.0444245Z %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 = {}) 2025-03-21T20:32:14.0446888Z %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 = {}) 2025-03-21T20:32:14.0449557Z %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 = {}) 2025-03-21T20:32:14.0452205Z %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 = {}) 2025-03-21T20:32:14.0454867Z %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 = {}) 2025-03-21T20:32:14.0457716Z %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 = {}) 2025-03-21T20:32:14.0461141Z %aten_convolution_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_121, %b__frozen_param27, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0464284Z %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 = {}) 2025-03-21T20:32:14.0466197Z %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 = {}) 2025-03-21T20:32:14.0467954Z %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 = {}) 2025-03-21T20:32:14.0469494Z %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], %b__frozen_param28, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0471105Z %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 = {}) 2025-03-21T20:32:14.0472645Z %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 = {}) 2025-03-21T20:32:14.0474279Z %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 = {}) 2025-03-21T20:32:14.0475877Z %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 = {}) 2025-03-21T20:32:14.0477647Z %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 = {}) 2025-03-21T20:32:14.0479361Z %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 = {}) 2025-03-21T20:32:14.0481161Z %aten_convolution_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_123, %b__frozen_param29, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0483159Z %aten_convolution_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_125, %b__frozen_param30, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0485125Z %aten_convolution_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_127, %b__frozen_param31, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0486908Z %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 = {}) 2025-03-21T20:32:14.0488510Z %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 = {}) 2025-03-21T20:32:14.0490117Z %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 = {}) 2025-03-21T20:32:14.0491663Z %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 = {}) 2025-03-21T20:32:14.0493145Z %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 = {}) 2025-03-21T20:32:14.0494634Z %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 = {}) 2025-03-21T20:32:14.0496138Z %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 = {}) 2025-03-21T20:32:14.0497652Z %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 = {}) 2025-03-21T20:32:14.0499165Z %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 = {}) 2025-03-21T20:32:14.0500695Z %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 = {}) 2025-03-21T20:32:14.0502234Z %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 = {}) 2025-03-21T20:32:14.0503999Z %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 = {}) 2025-03-21T20:32:14.0505766Z %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 = {}) 2025-03-21T20:32:14.0507864Z %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 = {}) 2025-03-21T20:32:14.0509335Z %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 = {}) 2025-03-21T20:32:14.0510824Z %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 = {}) 2025-03-21T20:32:14.0512356Z %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 = {}) 2025-03-21T20:32:14.0514050Z %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 = {}) 2025-03-21T20:32:14.0515638Z %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 = {}) 2025-03-21T20:32:14.0517217Z %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 = {}) 2025-03-21T20:32:14.0518797Z %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 = {}) 2025-03-21T20:32:14.0520383Z %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 = {}) 2025-03-21T20:32:14.0521963Z %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 = {}) 2025-03-21T20:32:14.0523540Z %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 = {}) 2025-03-21T20:32:14.0525091Z %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 = {}) 2025-03-21T20:32:14.0526667Z %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 = {}) 2025-03-21T20:32:14.0528242Z %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 = {}) 2025-03-21T20:32:14.0529816Z %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 = {}) 2025-03-21T20:32:14.0531334Z %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 = {}) 2025-03-21T20:32:14.0532789Z %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 = {}) 2025-03-21T20:32:14.0534268Z %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 = {}) 2025-03-21T20:32:14.0535774Z %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 = {}) 2025-03-21T20:32:14.0537227Z %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 = {}) 2025-03-21T20:32:14.0538703Z %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 = {}) 2025-03-21T20:32:14.0540147Z %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 = {}) 2025-03-21T20:32:14.0541582Z %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 = {}) 2025-03-21T20:32:14.0543031Z %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 = {}) 2025-03-21T20:32:14.0544468Z %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 = {}) 2025-03-21T20:32:14.0545913Z %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 = {}) 2025-03-21T20:32:14.0547362Z %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 = {}) 2025-03-21T20:32:14.0548806Z %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 = {}) 2025-03-21T20:32:14.0550247Z %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 = {}) 2025-03-21T20:32:14.0551698Z %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 = {}) 2025-03-21T20:32:14.0553233Z %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 = {}) 2025-03-21T20:32:14.0554708Z %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 = {}) 2025-03-21T20:32:14.0556204Z %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 = {}) 2025-03-21T20:32:14.0557688Z %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 = {}) 2025-03-21T20:32:14.0559177Z %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 = {}) 2025-03-21T20:32:14.0560667Z %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 = {}) 2025-03-21T20:32:14.0562209Z %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 = {}) 2025-03-21T20:32:14.0563723Z %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 = {}) 2025-03-21T20:32:14.0565216Z %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 = {}) 2025-03-21T20:32:14.0566982Z %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 = {}) 2025-03-21T20:32:14.0568408Z %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 = {}) 2025-03-21T20:32:14.0569826Z %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 = {}) 2025-03-21T20:32:14.0571566Z %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 = {}) 2025-03-21T20:32:14.0573160Z %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 = {}) 2025-03-21T20:32:14.0574563Z %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 = {}) 2025-03-21T20:32:14.0575981Z %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 = {}) 2025-03-21T20:32:14.0577399Z %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 = {}) 2025-03-21T20:32:14.0578813Z %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 = {}) 2025-03-21T20:32:14.0580226Z %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 = {}) 2025-03-21T20:32:14.0581640Z %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 = {}) 2025-03-21T20:32:14.0583056Z %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 = {}) 2025-03-21T20:32:14.0584465Z %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 = {}) 2025-03-21T20:32:14.0585847Z %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 = {}) 2025-03-21T20:32:14.0587234Z %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 = {}) 2025-03-21T20:32:14.0588617Z %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 = {}) 2025-03-21T20:32:14.0591112Z %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 = {}) 2025-03-21T20:32:14.0593742Z %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 = {}) 2025-03-21T20:32:14.0595272Z %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 = {}) 2025-03-21T20:32:14.0596776Z %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 = {}) 2025-03-21T20:32:14.0598285Z %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 = {}) 2025-03-21T20:32:14.0599778Z %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 = {}) 2025-03-21T20:32:14.0601358Z %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 = {}) 2025-03-21T20:32:14.0603007Z %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 = {}) 2025-03-21T20:32:14.0604567Z %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 = {}) 2025-03-21T20:32:14.0606036Z %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 = {}) 2025-03-21T20:32:14.0607560Z %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 = {}) 2025-03-21T20:32:14.0609363Z %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 = {}) 2025-03-21T20:32:14.0611161Z %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 = {}) 2025-03-21T20:32:14.0612742Z %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 = {}) 2025-03-21T20:32:14.0614320Z %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 = {}) 2025-03-21T20:32:14.0615895Z %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 = {}) 2025-03-21T20:32:14.0617466Z %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 = {}) 2025-03-21T20:32:14.0619166Z %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 = {}) 2025-03-21T20:32:14.0620774Z %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 = {}) 2025-03-21T20:32:14.0622344Z %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 = {}) 2025-03-21T20:32:14.0623939Z %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 = {}) 2025-03-21T20:32:14.0625514Z %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 = {}) 2025-03-21T20:32:14.0627093Z %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 = {}) 2025-03-21T20:32:14.0628665Z %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 = {}) 2025-03-21T20:32:14.0630176Z %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 = {}) 2025-03-21T20:32:14.0631629Z %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 = {}) 2025-03-21T20:32:14.0633177Z %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 = {}) 2025-03-21T20:32:14.0634615Z %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 = {}) 2025-03-21T20:32:14.0636054Z %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 = {}) 2025-03-21T20:32:14.0637842Z %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 = {}) 2025-03-21T20:32:14.0639366Z %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 = {}) 2025-03-21T20:32:14.0641266Z %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 = {}) 2025-03-21T20:32:14.0642711Z %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 = {}) 2025-03-21T20:32:14.0644155Z %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 = {}) 2025-03-21T20:32:14.0645602Z %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 = {}) 2025-03-21T20:32:14.0647100Z %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 = {}) 2025-03-21T20:32:14.0648588Z %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 = {}) 2025-03-21T20:32:14.0650002Z %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 = {}) 2025-03-21T20:32:14.0651447Z %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 = {}) 2025-03-21T20:32:14.0652858Z %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 = {}) 2025-03-21T20:32:14.0654277Z %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 = {}) 2025-03-21T20:32:14.0655694Z %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 = {}) 2025-03-21T20:32:14.0657114Z %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 = {}) 2025-03-21T20:32:14.0658529Z %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 = {}) 2025-03-21T20:32:14.0659944Z %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 = {}) 2025-03-21T20:32:14.0661359Z %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 = {}) 2025-03-21T20:32:14.0662776Z %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 = {}) 2025-03-21T20:32:14.0664193Z %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 = {}) 2025-03-21T20:32:14.0666790Z %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 = {}) 2025-03-21T20:32:14.0669251Z %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 = {}) 2025-03-21T20:32:14.0670791Z %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 = {}) 2025-03-21T20:32:14.0672407Z %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 = {}) 2025-03-21T20:32:14.0674037Z %aten_mul_tensor_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_6, %b__frozen_param152), kwargs = {}) 2025-03-21T20:32:14.0675566Z %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 = {}) 2025-03-21T20:32:14.0677032Z %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 = {}) 2025-03-21T20:32:14.0678555Z %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 = {}) 2025-03-21T20:32:14.0680165Z %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 = {}) 2025-03-21T20:32:14.0681719Z %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 = {}) 2025-03-21T20:32:14.0683267Z %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 = {}) 2025-03-21T20:32:14.0684865Z %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 = {}) 2025-03-21T20:32:14.0686695Z %aten_convolution_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_156, %b__frozen_param32, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0688497Z %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 = {}) 2025-03-21T20:32:14.0690065Z %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 = {}) 2025-03-21T20:32:14.0691538Z %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 = {}) 2025-03-21T20:32:14.0693081Z %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], %b__frozen_param33, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0694687Z %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 = {}) 2025-03-21T20:32:14.0696248Z %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 = {}) 2025-03-21T20:32:14.0697844Z %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 = {}) 2025-03-21T20:32:14.0699494Z %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 = {}) 2025-03-21T20:32:14.0701312Z %aten_convolution_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_158, %b__frozen_param34, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0703630Z %aten_convolution_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_160, %b__frozen_param35, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0705563Z %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 = {}) 2025-03-21T20:32:14.0707892Z %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 = {}) 2025-03-21T20:32:14.0709828Z %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 = {}) 2025-03-21T20:32:14.0711329Z %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 = {}) 2025-03-21T20:32:14.0712857Z %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 = {}) 2025-03-21T20:32:14.0714320Z %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 = {}) 2025-03-21T20:32:14.0715777Z %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 = {}) 2025-03-21T20:32:14.0717246Z %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 = {}) 2025-03-21T20:32:14.0718817Z %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 = {}) 2025-03-21T20:32:14.0720628Z %aten_convolution_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_162, %b__frozen_param36, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0722416Z %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 = {}) 2025-03-21T20:32:14.0723971Z %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 = {}) 2025-03-21T20:32:14.0725434Z %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 = {}) 2025-03-21T20:32:14.0726966Z %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], %b__frozen_param37, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0728564Z %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 = {}) 2025-03-21T20:32:14.0730112Z %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 = {}) 2025-03-21T20:32:14.0731643Z %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 = {}) 2025-03-21T20:32:14.0733285Z %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 = {}) 2025-03-21T20:32:14.0734980Z %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 = {}) 2025-03-21T20:32:14.0736613Z %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 = {}) 2025-03-21T20:32:14.0738454Z %aten_convolution_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_164, %b__frozen_param38, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0740426Z %aten_convolution_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_166, %b__frozen_param39, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0742388Z %aten_convolution_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_168, %b__frozen_param40, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0744165Z %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 = {}) 2025-03-21T20:32:14.0745777Z %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 = {}) 2025-03-21T20:32:14.0747391Z %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 = {}) 2025-03-21T20:32:14.0748942Z %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 = {}) 2025-03-21T20:32:14.0750419Z %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 = {}) 2025-03-21T20:32:14.0751899Z %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 = {}) 2025-03-21T20:32:14.0753478Z %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 = {}) 2025-03-21T20:32:14.0754998Z %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 = {}) 2025-03-21T20:32:14.0756511Z %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 = {}) 2025-03-21T20:32:14.0758038Z %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 = {}) 2025-03-21T20:32:14.0759592Z %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 = {}) 2025-03-21T20:32:14.0761495Z %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 = {}) 2025-03-21T20:32:14.0763306Z %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 = {}) 2025-03-21T20:32:14.0764779Z %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 = {}) 2025-03-21T20:32:14.0766274Z %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 = {}) 2025-03-21T20:32:14.0768134Z %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 = {}) 2025-03-21T20:32:14.0769731Z %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 = {}) 2025-03-21T20:32:14.0771307Z %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 = {}) 2025-03-21T20:32:14.0773423Z %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 = {}) 2025-03-21T20:32:14.0775404Z %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 = {}) 2025-03-21T20:32:14.0777685Z %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 = {}) 2025-03-21T20:32:14.0780041Z %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 = {}) 2025-03-21T20:32:14.0781620Z %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 = {}) 2025-03-21T20:32:14.0783195Z %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 = {}) 2025-03-21T20:32:14.0784776Z %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 = {}) 2025-03-21T20:32:14.0786351Z %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 = {}) 2025-03-21T20:32:14.0787916Z %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 = {}) 2025-03-21T20:32:14.0789484Z %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 = {}) 2025-03-21T20:32:14.0790980Z %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 = {}) 2025-03-21T20:32:14.0792538Z %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 = {}) 2025-03-21T20:32:14.0794185Z %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 = {}) 2025-03-21T20:32:14.0795637Z %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 = {}) 2025-03-21T20:32:14.0797122Z %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 = {}) 2025-03-21T20:32:14.0798575Z %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 = {}) 2025-03-21T20:32:14.0800032Z %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 = {}) 2025-03-21T20:32:14.0801482Z %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 = {}) 2025-03-21T20:32:14.0802927Z %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 = {}) 2025-03-21T20:32:14.0804375Z %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 = {}) 2025-03-21T20:32:14.0805819Z %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 = {}) 2025-03-21T20:32:14.0807253Z %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 = {}) 2025-03-21T20:32:14.0808698Z %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 = {}) 2025-03-21T20:32:14.0810145Z %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 = {}) 2025-03-21T20:32:14.0811593Z %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 = {}) 2025-03-21T20:32:14.0813034Z %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 = {}) 2025-03-21T20:32:14.0814511Z %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 = {}) 2025-03-21T20:32:14.0816007Z %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 = {}) 2025-03-21T20:32:14.0817497Z %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 = {}) 2025-03-21T20:32:14.0819000Z %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 = {}) 2025-03-21T20:32:14.0820560Z %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 = {}) 2025-03-21T20:32:14.0822089Z %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 = {}) 2025-03-21T20:32:14.0823586Z %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 = {}) 2025-03-21T20:32:14.0825105Z %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 = {}) 2025-03-21T20:32:14.0826569Z %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 = {}) 2025-03-21T20:32:14.0827994Z %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 = {}) 2025-03-21T20:32:14.0829413Z %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 = {}) 2025-03-21T20:32:14.0830836Z %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 = {}) 2025-03-21T20:32:14.0832249Z %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 = {}) 2025-03-21T20:32:14.0834030Z %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 = {}) 2025-03-21T20:32:14.0835453Z %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 = {}) 2025-03-21T20:32:14.0836993Z %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 = {}) 2025-03-21T20:32:14.0838535Z %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 = {}) 2025-03-21T20:32:14.0840263Z %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 = {}) 2025-03-21T20:32:14.0842077Z %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 = {}) 2025-03-21T20:32:14.0843508Z %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 = {}) 2025-03-21T20:32:14.0845586Z %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 = {}) 2025-03-21T20:32:14.0848016Z %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 = {}) 2025-03-21T20:32:14.0849544Z %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 = {}) 2025-03-21T20:32:14.0852301Z %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 = {}) 2025-03-21T20:32:14.0855250Z %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 = {}) 2025-03-21T20:32:14.0857751Z %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 = {}) 2025-03-21T20:32:14.0859255Z %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 = {}) 2025-03-21T20:32:14.0860755Z %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 = {}) 2025-03-21T20:32:14.0862258Z %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 = {}) 2025-03-21T20:32:14.0863754Z %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 = {}) 2025-03-21T20:32:14.0865325Z %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 = {}) 2025-03-21T20:32:14.0867187Z %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 = {}) 2025-03-21T20:32:14.0868752Z %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 = {}) 2025-03-21T20:32:14.0870229Z %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 = {}) 2025-03-21T20:32:14.0871759Z %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 = {}) 2025-03-21T20:32:14.0873651Z %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 = {}) 2025-03-21T20:32:14.0875463Z %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 = {}) 2025-03-21T20:32:14.0877040Z %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 = {}) 2025-03-21T20:32:14.0878617Z %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 = {}) 2025-03-21T20:32:14.0880196Z %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 = {}) 2025-03-21T20:32:14.0881888Z %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 = {}) 2025-03-21T20:32:14.0883497Z %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 = {}) 2025-03-21T20:32:14.0885111Z %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 = {}) 2025-03-21T20:32:14.0886687Z %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 = {}) 2025-03-21T20:32:14.0888261Z %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 = {}) 2025-03-21T20:32:14.0889851Z %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 = {}) 2025-03-21T20:32:14.0891432Z %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 = {}) 2025-03-21T20:32:14.0893014Z %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 = {}) 2025-03-21T20:32:14.0894545Z %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 = {}) 2025-03-21T20:32:14.0896002Z %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 = {}) 2025-03-21T20:32:14.0897455Z %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 = {}) 2025-03-21T20:32:14.0899133Z %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 = {}) 2025-03-21T20:32:14.0900590Z %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 = {}) 2025-03-21T20:32:14.0902110Z %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 = {}) 2025-03-21T20:32:14.0903567Z %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 = {}) 2025-03-21T20:32:14.0905068Z %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 = {}) 2025-03-21T20:32:14.0907245Z %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 = {}) 2025-03-21T20:32:14.0909080Z %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 = {}) 2025-03-21T20:32:14.0910955Z %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 = {}) 2025-03-21T20:32:14.0912471Z %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 = {}) 2025-03-21T20:32:14.0914414Z %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 = {}) 2025-03-21T20:32:14.0915941Z %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 = {}) 2025-03-21T20:32:14.0917360Z %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 = {}) 2025-03-21T20:32:14.0918921Z %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 = {}) 2025-03-21T20:32:14.0920448Z %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 = {}) 2025-03-21T20:32:14.0922020Z %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 = {}) 2025-03-21T20:32:14.0923649Z %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 = {}) 2025-03-21T20:32:14.0925342Z %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 = {}) 2025-03-21T20:32:14.0926750Z %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 = {}) 2025-03-21T20:32:14.0928159Z %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 = {}) 2025-03-21T20:32:14.0929632Z %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 = {}) 2025-03-21T20:32:14.0931286Z %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 = {}) 2025-03-21T20:32:14.0933877Z %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 = {}) 2025-03-21T20:32:14.0936552Z %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 = {}) 2025-03-21T20:32:14.0938086Z %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 = {}) 2025-03-21T20:32:14.0939720Z %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 = {}) 2025-03-21T20:32:14.0941338Z %aten_mul_tensor_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_8, %b__frozen_param153), kwargs = {}) 2025-03-21T20:32:14.0942791Z %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 = {}) 2025-03-21T20:32:14.0944217Z %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 = {}) 2025-03-21T20:32:14.0945751Z %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 = {}) 2025-03-21T20:32:14.0947328Z %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 = {}) 2025-03-21T20:32:14.0948868Z %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 = {}) 2025-03-21T20:32:14.0950414Z %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 = {}) 2025-03-21T20:32:14.0952016Z %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 = {}) 2025-03-21T20:32:14.0953912Z %aten_convolution_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_197, %b__frozen_param41, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0955711Z %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 = {}) 2025-03-21T20:32:14.0957261Z %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 = {}) 2025-03-21T20:32:14.0958718Z %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 = {}) 2025-03-21T20:32:14.0960255Z %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], %b__frozen_param42, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0961859Z %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 = {}) 2025-03-21T20:32:14.0963416Z %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 = {}) 2025-03-21T20:32:14.0965188Z %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 = {}) 2025-03-21T20:32:14.0966988Z %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 = {}) 2025-03-21T20:32:14.0968869Z %aten_convolution_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_199, %b__frozen_param43, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0970924Z %aten_convolution_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_201, %b__frozen_param44, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0972853Z %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 = {}) 2025-03-21T20:32:14.0974572Z %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 = {}) 2025-03-21T20:32:14.0976365Z %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 = {}) 2025-03-21T20:32:14.0978039Z %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 = {}) 2025-03-21T20:32:14.0979543Z %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 = {}) 2025-03-21T20:32:14.0981108Z %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 = {}) 2025-03-21T20:32:14.0982681Z %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 = {}) 2025-03-21T20:32:14.0984167Z %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 = {}) 2025-03-21T20:32:14.0985759Z %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 = {}) 2025-03-21T20:32:14.0987576Z %aten_convolution_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_203, %b__frozen_param45, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.0989351Z %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 = {}) 2025-03-21T20:32:14.0990911Z %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 = {}) 2025-03-21T20:32:14.0992380Z %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 = {}) 2025-03-21T20:32:14.0994006Z %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], %b__frozen_param46, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.0995611Z %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 = {}) 2025-03-21T20:32:14.0997163Z %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 = {}) 2025-03-21T20:32:14.0998748Z %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 = {}) 2025-03-21T20:32:14.1000392Z %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 = {}) 2025-03-21T20:32:14.1002015Z %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 = {}) 2025-03-21T20:32:14.1003669Z %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 = {}) 2025-03-21T20:32:14.1005463Z %aten_convolution_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_205, %b__frozen_param47, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1007423Z %aten_convolution_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_207, %b__frozen_param48, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1009387Z %aten_convolution_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_209, %b__frozen_param49, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1011173Z %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 = {}) 2025-03-21T20:32:14.1012769Z %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 = {}) 2025-03-21T20:32:14.1014380Z %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 = {}) 2025-03-21T20:32:14.1015926Z %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 = {}) 2025-03-21T20:32:14.1017417Z %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 = {}) 2025-03-21T20:32:14.1018906Z %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 = {}) 2025-03-21T20:32:14.1020412Z %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 = {}) 2025-03-21T20:32:14.1021932Z %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 = {}) 2025-03-21T20:32:14.1023450Z %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 = {}) 2025-03-21T20:32:14.1024977Z %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 = {}) 2025-03-21T20:32:14.1026538Z %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 = {}) 2025-03-21T20:32:14.1028363Z %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 = {}) 2025-03-21T20:32:14.1030111Z %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 = {}) 2025-03-21T20:32:14.1031594Z %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 = {}) 2025-03-21T20:32:14.1033160Z %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 = {}) 2025-03-21T20:32:14.1034627Z %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 = {}) 2025-03-21T20:32:14.1036161Z %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 = {}) 2025-03-21T20:32:14.1037758Z %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 = {}) 2025-03-21T20:32:14.1039343Z %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 = {}) 2025-03-21T20:32:14.1040934Z %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 = {}) 2025-03-21T20:32:14.1042522Z %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 = {}) 2025-03-21T20:32:14.1044102Z %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 = {}) 2025-03-21T20:32:14.1045691Z %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 = {}) 2025-03-21T20:32:14.1047270Z %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 = {}) 2025-03-21T20:32:14.1049140Z %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 = {}) 2025-03-21T20:32:14.1050723Z %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 = {}) 2025-03-21T20:32:14.1052293Z %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 = {}) 2025-03-21T20:32:14.1053869Z %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 = {}) 2025-03-21T20:32:14.1055459Z %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 = {}) 2025-03-21T20:32:14.1056944Z %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 = {}) 2025-03-21T20:32:14.1058409Z %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 = {}) 2025-03-21T20:32:14.1059892Z %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 = {}) 2025-03-21T20:32:14.1061346Z %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 = {}) 2025-03-21T20:32:14.1062791Z %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 = {}) 2025-03-21T20:32:14.1064243Z %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 = {}) 2025-03-21T20:32:14.1065689Z %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 = {}) 2025-03-21T20:32:14.1067302Z %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 = {}) 2025-03-21T20:32:14.1068730Z %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 = {}) 2025-03-21T20:32:14.1070181Z %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 = {}) 2025-03-21T20:32:14.1071626Z %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 = {}) 2025-03-21T20:32:14.1073147Z %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 = {}) 2025-03-21T20:32:14.1074596Z %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 = {}) 2025-03-21T20:32:14.1076053Z %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 = {}) 2025-03-21T20:32:14.1077502Z %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 = {}) 2025-03-21T20:32:14.1078966Z %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 = {}) 2025-03-21T20:32:14.1080466Z %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 = {}) 2025-03-21T20:32:14.1081960Z %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 = {}) 2025-03-21T20:32:14.1083556Z %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 = {}) 2025-03-21T20:32:14.1085101Z %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 = {}) 2025-03-21T20:32:14.1086595Z %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 = {}) 2025-03-21T20:32:14.1088120Z %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 = {}) 2025-03-21T20:32:14.1089618Z %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 = {}) 2025-03-21T20:32:14.1091082Z %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 = {}) 2025-03-21T20:32:14.1092502Z %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 = {}) 2025-03-21T20:32:14.1093916Z %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 = {}) 2025-03-21T20:32:14.1095328Z %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 = {}) 2025-03-21T20:32:14.1096743Z %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 = {}) 2025-03-21T20:32:14.1098160Z %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 = {}) 2025-03-21T20:32:14.1099581Z %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 = {}) 2025-03-21T20:32:14.1100988Z %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 = {}) 2025-03-21T20:32:14.1102383Z %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 = {}) 2025-03-21T20:32:14.1103799Z %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 = {}) 2025-03-21T20:32:14.1105224Z %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 = {}) 2025-03-21T20:32:14.1106649Z %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 = {}) 2025-03-21T20:32:14.1108051Z %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 = {}) 2025-03-21T20:32:14.1109468Z %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 = {}) 2025-03-21T20:32:14.1110885Z %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 = {}) 2025-03-21T20:32:14.1112310Z %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 = {}) 2025-03-21T20:32:14.1114853Z %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 = {}) 2025-03-21T20:32:14.1117319Z %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 = {}) 2025-03-21T20:32:14.1118844Z %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 = {}) 2025-03-21T20:32:14.1120345Z %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 = {}) 2025-03-21T20:32:14.1121846Z %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 = {}) 2025-03-21T20:32:14.1123334Z %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 = {}) 2025-03-21T20:32:14.1124916Z %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 = {}) 2025-03-21T20:32:14.1126571Z %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 = {}) 2025-03-21T20:32:14.1128130Z %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 = {}) 2025-03-21T20:32:14.1129597Z %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 = {}) 2025-03-21T20:32:14.1131126Z %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 = {}) 2025-03-21T20:32:14.1132936Z %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 = {}) 2025-03-21T20:32:14.1134743Z %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 = {}) 2025-03-21T20:32:14.1136340Z %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 = {}) 2025-03-21T20:32:14.1137961Z %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 = {}) 2025-03-21T20:32:14.1139634Z %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 = {}) 2025-03-21T20:32:14.1141223Z %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 = {}) 2025-03-21T20:32:14.1142831Z %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 = {}) 2025-03-21T20:32:14.1144416Z %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 = {}) 2025-03-21T20:32:14.1146001Z %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 = {}) 2025-03-21T20:32:14.1147593Z %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 = {}) 2025-03-21T20:32:14.1149172Z %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 = {}) 2025-03-21T20:32:14.1150759Z %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 = {}) 2025-03-21T20:32:14.1152338Z %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 = {}) 2025-03-21T20:32:14.1153960Z %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 = {}) 2025-03-21T20:32:14.1155414Z %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 = {}) 2025-03-21T20:32:14.1156871Z %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 = {}) 2025-03-21T20:32:14.1158316Z %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 = {}) 2025-03-21T20:32:14.1159763Z %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 = {}) 2025-03-21T20:32:14.1161198Z %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 = {}) 2025-03-21T20:32:14.1162646Z %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 = {}) 2025-03-21T20:32:14.1164096Z %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 = {}) 2025-03-21T20:32:14.1165539Z %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 = {}) 2025-03-21T20:32:14.1167232Z %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 = {}) 2025-03-21T20:32:14.1168741Z %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 = {}) 2025-03-21T20:32:14.1170196Z %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 = {}) 2025-03-21T20:32:14.1171668Z %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 = {}) 2025-03-21T20:32:14.1173087Z %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 = {}) 2025-03-21T20:32:14.1174504Z %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 = {}) 2025-03-21T20:32:14.1175924Z %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 = {}) 2025-03-21T20:32:14.1177320Z %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 = {}) 2025-03-21T20:32:14.1178730Z %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 = {}) 2025-03-21T20:32:14.1180138Z %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 = {}) 2025-03-21T20:32:14.1181550Z %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 = {}) 2025-03-21T20:32:14.1183547Z %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 = {}) 2025-03-21T20:32:14.1184995Z %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 = {}) 2025-03-21T20:32:14.1186419Z %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 = {}) 2025-03-21T20:32:14.1187839Z %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 = {}) 2025-03-21T20:32:14.1190358Z %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 = {}) 2025-03-21T20:32:14.1192940Z %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 = {}) 2025-03-21T20:32:14.1194575Z %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 = {}) 2025-03-21T20:32:14.1196279Z %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 = {}) 2025-03-21T20:32:14.1197820Z %aten_mul_tensor_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_10, %b__frozen_param154), kwargs = {}) 2025-03-21T20:32:14.1199221Z %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 = {}) 2025-03-21T20:32:14.1200739Z %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 = {}) 2025-03-21T20:32:14.1202262Z %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 = {}) 2025-03-21T20:32:14.1203844Z %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 = {}) 2025-03-21T20:32:14.1205398Z %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 = {}) 2025-03-21T20:32:14.1206954Z %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 = {}) 2025-03-21T20:32:14.1208558Z %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 = {}) 2025-03-21T20:32:14.1210373Z %aten_convolution_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_238, %b__frozen_param50, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1212164Z %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 = {}) 2025-03-21T20:32:14.1213720Z %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 = {}) 2025-03-21T20:32:14.1215184Z %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 = {}) 2025-03-21T20:32:14.1216723Z %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], %b__frozen_param51, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1218333Z %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 = {}) 2025-03-21T20:32:14.1219879Z %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 = {}) 2025-03-21T20:32:14.1221482Z %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 = {}) 2025-03-21T20:32:14.1223157Z %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 = {}) 2025-03-21T20:32:14.1225014Z %aten_convolution_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_240, %b__frozen_param52, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1226980Z %aten_convolution_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_242, %b__frozen_param53, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1228781Z %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 = {}) 2025-03-21T20:32:14.1230390Z %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 = {}) 2025-03-21T20:32:14.1231937Z %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 = {}) 2025-03-21T20:32:14.1233522Z %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 = {}) 2025-03-21T20:32:14.1234978Z %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 = {}) 2025-03-21T20:32:14.1236429Z %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 = {}) 2025-03-21T20:32:14.1237901Z %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 = {}) 2025-03-21T20:32:14.1239376Z %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 = {}) 2025-03-21T20:32:14.1240941Z %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 = {}) 2025-03-21T20:32:14.1242750Z %aten_convolution_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_244, %b__frozen_param54, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1244555Z %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 = {}) 2025-03-21T20:32:14.1246113Z %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 = {}) 2025-03-21T20:32:14.1247573Z %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 = {}) 2025-03-21T20:32:14.1249117Z %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], %b__frozen_param55, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1250709Z %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 = {}) 2025-03-21T20:32:14.1252319Z %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 = {}) 2025-03-21T20:32:14.1253898Z %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 = {}) 2025-03-21T20:32:14.1255490Z %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 = {}) 2025-03-21T20:32:14.1257179Z %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 = {}) 2025-03-21T20:32:14.1258804Z %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 = {}) 2025-03-21T20:32:14.1260613Z %aten_convolution_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_246, %b__frozen_param56, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1262579Z %aten_convolution_default_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_248, %b__frozen_param57, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1264544Z %aten_convolution_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_250, %b__frozen_param58, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1266329Z %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 = {}) 2025-03-21T20:32:14.1268118Z %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 = {}) 2025-03-21T20:32:14.1269730Z %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 = {}) 2025-03-21T20:32:14.1286807Z %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 = {}) 2025-03-21T20:32:14.1288324Z %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 = {}) 2025-03-21T20:32:14.1289800Z %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 = {}) 2025-03-21T20:32:14.1291303Z %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 = {}) 2025-03-21T20:32:14.1292827Z %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 = {}) 2025-03-21T20:32:14.1294345Z %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 = {}) 2025-03-21T20:32:14.1296071Z %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 = {}) 2025-03-21T20:32:14.1297668Z %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 = {}) 2025-03-21T20:32:14.1299503Z %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 = {}) 2025-03-21T20:32:14.1301253Z %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 = {}) 2025-03-21T20:32:14.1302731Z %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 = {}) 2025-03-21T20:32:14.1304205Z %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 = {}) 2025-03-21T20:32:14.1305678Z %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 = {}) 2025-03-21T20:32:14.1307213Z %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 = {}) 2025-03-21T20:32:14.1308781Z %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 = {}) 2025-03-21T20:32:14.1310365Z %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 = {}) 2025-03-21T20:32:14.1311943Z %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 = {}) 2025-03-21T20:32:14.1313634Z %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 = {}) 2025-03-21T20:32:14.1315215Z %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 = {}) 2025-03-21T20:32:14.1316803Z %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 = {}) 2025-03-21T20:32:14.1318379Z %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 = {}) 2025-03-21T20:32:14.1319949Z %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 = {}) 2025-03-21T20:32:14.1321525Z %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 = {}) 2025-03-21T20:32:14.1323128Z %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 = {}) 2025-03-21T20:32:14.1324744Z %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 = {}) 2025-03-21T20:32:14.1326262Z %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 = {}) 2025-03-21T20:32:14.1327717Z %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 = {}) 2025-03-21T20:32:14.1329177Z %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 = {}) 2025-03-21T20:32:14.1330625Z %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 = {}) 2025-03-21T20:32:14.1332073Z %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 = {}) 2025-03-21T20:32:14.1333518Z %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 = {}) 2025-03-21T20:32:14.1334958Z %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 = {}) 2025-03-21T20:32:14.1336402Z %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 = {}) 2025-03-21T20:32:14.1337850Z %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 = {}) 2025-03-21T20:32:14.1339290Z %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 = {}) 2025-03-21T20:32:14.1340725Z %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 = {}) 2025-03-21T20:32:14.1342163Z %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 = {}) 2025-03-21T20:32:14.1343600Z %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 = {}) 2025-03-21T20:32:14.1345030Z %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 = {}) 2025-03-21T20:32:14.1346462Z %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 = {}) 2025-03-21T20:32:14.1347894Z %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 = {}) 2025-03-21T20:32:14.1349366Z %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 = {}) 2025-03-21T20:32:14.1350893Z %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 = {}) 2025-03-21T20:32:14.1352442Z %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 = {}) 2025-03-21T20:32:14.1354040Z %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 = {}) 2025-03-21T20:32:14.1355567Z %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 = {}) 2025-03-21T20:32:14.1357066Z %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 = {}) 2025-03-21T20:32:14.1358566Z %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 = {}) 2025-03-21T20:32:14.1360070Z %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 = {}) 2025-03-21T20:32:14.1361516Z %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 = {}) 2025-03-21T20:32:14.1362935Z %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 = {}) 2025-03-21T20:32:14.1364348Z %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 = {}) 2025-03-21T20:32:14.1365748Z %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 = {}) 2025-03-21T20:32:14.1367326Z %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 = {}) 2025-03-21T20:32:14.1368729Z %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 = {}) 2025-03-21T20:32:14.1370131Z %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 = {}) 2025-03-21T20:32:14.1371541Z %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 = {}) 2025-03-21T20:32:14.1372955Z %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 = {}) 2025-03-21T20:32:14.1374359Z %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 = {}) 2025-03-21T20:32:14.1375766Z %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 = {}) 2025-03-21T20:32:14.1377174Z %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 = {}) 2025-03-21T20:32:14.1378618Z %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 = {}) 2025-03-21T20:32:14.1380099Z %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 = {}) 2025-03-21T20:32:14.1381491Z %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 = {}) 2025-03-21T20:32:14.1382941Z %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 = {}) 2025-03-21T20:32:14.1385348Z %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 = {}) 2025-03-21T20:32:14.1387816Z %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 = {}) 2025-03-21T20:32:14.1389315Z %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 = {}) 2025-03-21T20:32:14.1390803Z %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 = {}) 2025-03-21T20:32:14.1392302Z %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 = {}) 2025-03-21T20:32:14.1393907Z %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 = {}) 2025-03-21T20:32:14.1395475Z %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 = {}) 2025-03-21T20:32:14.1397118Z %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 = {}) 2025-03-21T20:32:14.1398664Z %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 = {}) 2025-03-21T20:32:14.1400145Z %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 = {}) 2025-03-21T20:32:14.1401678Z %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 = {}) 2025-03-21T20:32:14.1403485Z %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 = {}) 2025-03-21T20:32:14.1405288Z %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 = {}) 2025-03-21T20:32:14.1406892Z %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 = {}) 2025-03-21T20:32:14.1408516Z %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 = {}) 2025-03-21T20:32:14.1410085Z %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 = {}) 2025-03-21T20:32:14.1411677Z %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 = {}) 2025-03-21T20:32:14.1413256Z %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 = {}) 2025-03-21T20:32:14.1414836Z %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 = {}) 2025-03-21T20:32:14.1416403Z %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 = {}) 2025-03-21T20:32:14.1417969Z %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 = {}) 2025-03-21T20:32:14.1419534Z %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 = {}) 2025-03-21T20:32:14.1421110Z %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 = {}) 2025-03-21T20:32:14.1422693Z %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 = {}) 2025-03-21T20:32:14.1424207Z %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 = {}) 2025-03-21T20:32:14.1425664Z %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 = {}) 2025-03-21T20:32:14.1427107Z %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 = {}) 2025-03-21T20:32:14.1428558Z %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 = {}) 2025-03-21T20:32:14.1430001Z %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 = {}) 2025-03-21T20:32:14.1431446Z %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 = {}) 2025-03-21T20:32:14.1432971Z %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 = {}) 2025-03-21T20:32:14.1434452Z %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 = {}) 2025-03-21T20:32:14.1435952Z %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 = {}) 2025-03-21T20:32:14.1437389Z %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 = {}) 2025-03-21T20:32:14.1438861Z %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 = {}) 2025-03-21T20:32:14.1440306Z %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 = {}) 2025-03-21T20:32:14.1441735Z %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 = {}) 2025-03-21T20:32:14.1443146Z %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 = {}) 2025-03-21T20:32:14.1444557Z %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 = {}) 2025-03-21T20:32:14.1445969Z %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 = {}) 2025-03-21T20:32:14.1447375Z %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 = {}) 2025-03-21T20:32:14.1448785Z %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 = {}) 2025-03-21T20:32:14.1450192Z %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 = {}) 2025-03-21T20:32:14.1451576Z %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 = {}) 2025-03-21T20:32:14.1452976Z %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 = {}) 2025-03-21T20:32:14.1454387Z %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 = {}) 2025-03-21T20:32:14.1455797Z %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 = {}) 2025-03-21T20:32:14.1457212Z %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 = {}) 2025-03-21T20:32:14.1459623Z %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 = {}) 2025-03-21T20:32:14.1462115Z %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 = {}) 2025-03-21T20:32:14.1463705Z %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 = {}) 2025-03-21T20:32:14.1465335Z %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 = {}) 2025-03-21T20:32:14.1467157Z %aten_mul_tensor_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_12, %b__frozen_param155), kwargs = {}) 2025-03-21T20:32:14.1468582Z %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 = {}) 2025-03-21T20:32:14.1470003Z %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 = {}) 2025-03-21T20:32:14.1471521Z %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 = {}) 2025-03-21T20:32:14.1473177Z %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 = {}) 2025-03-21T20:32:14.1474716Z %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 = {}) 2025-03-21T20:32:14.1476279Z %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 = {}) 2025-03-21T20:32:14.1477889Z %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 = {}) 2025-03-21T20:32:14.1479700Z %aten_convolution_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_279, %b__frozen_param59, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1481493Z %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 = {}) 2025-03-21T20:32:14.1483045Z %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 = {}) 2025-03-21T20:32:14.1484505Z %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 = {}) 2025-03-21T20:32:14.1486036Z %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], %b__frozen_param60, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1487627Z %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 = {}) 2025-03-21T20:32:14.1489166Z %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 = {}) 2025-03-21T20:32:14.1490806Z %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 = {}) 2025-03-21T20:32:14.1492528Z %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 = {}) 2025-03-21T20:32:14.1494325Z %aten_convolution_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_281, %b__frozen_param61, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1496326Z %aten_convolution_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_283, %b__frozen_param62, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1498103Z %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 = {}) 2025-03-21T20:32:14.1499702Z %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 = {}) 2025-03-21T20:32:14.1501247Z %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 = {}) 2025-03-21T20:32:14.1502734Z %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 = {}) 2025-03-21T20:32:14.1504185Z %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 = {}) 2025-03-21T20:32:14.1505627Z %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 = {}) 2025-03-21T20:32:14.1507097Z %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 = {}) 2025-03-21T20:32:14.1508585Z %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 = {}) 2025-03-21T20:32:14.1510167Z %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 = {}) 2025-03-21T20:32:14.1511977Z %aten_convolution_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_285, %b__frozen_param63, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1513865Z %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 = {}) 2025-03-21T20:32:14.1515413Z %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 = {}) 2025-03-21T20:32:14.1516860Z %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 = {}) 2025-03-21T20:32:14.1518444Z %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], %b__frozen_param64, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1520083Z %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 = {}) 2025-03-21T20:32:14.1521618Z %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 = {}) 2025-03-21T20:32:14.1523186Z %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 = {}) 2025-03-21T20:32:14.1524773Z %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 = {}) 2025-03-21T20:32:14.1526410Z %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 = {}) 2025-03-21T20:32:14.1528040Z %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 = {}) 2025-03-21T20:32:14.1529852Z %aten_convolution_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_287, %b__frozen_param65, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1531821Z %aten_convolution_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_289, %b__frozen_param66, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1533791Z %aten_convolution_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_291, %b__frozen_param67, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1535577Z %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 = {}) 2025-03-21T20:32:14.1537186Z %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 = {}) 2025-03-21T20:32:14.1538785Z %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 = {}) 2025-03-21T20:32:14.1540311Z %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 = {}) 2025-03-21T20:32:14.1541786Z %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 = {}) 2025-03-21T20:32:14.1543264Z %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 = {}) 2025-03-21T20:32:14.1544770Z %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 = {}) 2025-03-21T20:32:14.1546331Z %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 = {}) 2025-03-21T20:32:14.1547909Z %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 = {}) 2025-03-21T20:32:14.1549448Z %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 = {}) 2025-03-21T20:32:14.1551025Z %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 = {}) 2025-03-21T20:32:14.1552906Z %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 = {}) 2025-03-21T20:32:14.1554660Z %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 = {}) 2025-03-21T20:32:14.1556134Z %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 = {}) 2025-03-21T20:32:14.1557606Z %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 = {}) 2025-03-21T20:32:14.1559072Z %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 = {}) 2025-03-21T20:32:14.1560612Z %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 = {}) 2025-03-21T20:32:14.1562204Z %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 = {}) 2025-03-21T20:32:14.1563788Z %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 = {}) 2025-03-21T20:32:14.1565375Z %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 = {}) 2025-03-21T20:32:14.1567124Z %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 = {}) 2025-03-21T20:32:14.1568717Z %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 = {}) 2025-03-21T20:32:14.1570302Z %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 = {}) 2025-03-21T20:32:14.1571885Z %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 = {}) 2025-03-21T20:32:14.1573489Z %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 = {}) 2025-03-21T20:32:14.1575158Z %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 = {}) 2025-03-21T20:32:14.1576820Z %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 = {}) 2025-03-21T20:32:14.1578408Z %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 = {}) 2025-03-21T20:32:14.1579956Z %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 = {}) 2025-03-21T20:32:14.1581413Z %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 = {}) 2025-03-21T20:32:14.1582885Z %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 = {}) 2025-03-21T20:32:14.1584342Z %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 = {}) 2025-03-21T20:32:14.1585807Z %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 = {}) 2025-03-21T20:32:14.1587260Z %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 = {}) 2025-03-21T20:32:14.1588717Z %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 = {}) 2025-03-21T20:32:14.1590170Z %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 = {}) 2025-03-21T20:32:14.1591617Z %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 = {}) 2025-03-21T20:32:14.1593136Z %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 = {}) 2025-03-21T20:32:14.1594589Z %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 = {}) 2025-03-21T20:32:14.1596018Z %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 = {}) 2025-03-21T20:32:14.1597461Z %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 = {}) 2025-03-21T20:32:14.1598913Z %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 = {}) 2025-03-21T20:32:14.1600349Z %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 = {}) 2025-03-21T20:32:14.1601790Z %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 = {}) 2025-03-21T20:32:14.1603341Z %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 = {}) 2025-03-21T20:32:14.1604921Z %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 = {}) 2025-03-21T20:32:14.1606435Z %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 = {}) 2025-03-21T20:32:14.1607982Z %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 = {}) 2025-03-21T20:32:14.1609506Z %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 = {}) 2025-03-21T20:32:14.1611023Z %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 = {}) 2025-03-21T20:32:14.1612526Z %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 = {}) 2025-03-21T20:32:14.1614039Z %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 = {}) 2025-03-21T20:32:14.1615497Z %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 = {}) 2025-03-21T20:32:14.1616914Z %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 = {}) 2025-03-21T20:32:14.1618332Z %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 = {}) 2025-03-21T20:32:14.1619747Z %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 = {}) 2025-03-21T20:32:14.1621162Z %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 = {}) 2025-03-21T20:32:14.1622576Z %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 = {}) 2025-03-21T20:32:14.1623986Z %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 = {}) 2025-03-21T20:32:14.1625401Z %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 = {}) 2025-03-21T20:32:14.1626812Z %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 = {}) 2025-03-21T20:32:14.1628212Z %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 = {}) 2025-03-21T20:32:14.1629628Z %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 = {}) 2025-03-21T20:32:14.1631110Z %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 = {}) 2025-03-21T20:32:14.1632549Z %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 = {}) 2025-03-21T20:32:14.1634049Z %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 = {}) 2025-03-21T20:32:14.1635489Z %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 = {}) 2025-03-21T20:32:14.1636894Z %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 = {}) 2025-03-21T20:32:14.1638528Z %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 = {}) 2025-03-21T20:32:14.1639235Z %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 = {}) 2025-03-21T20:32:14.1639918Z %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 = {}) 2025-03-21T20:32:14.1640616Z %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 = {}) 2025-03-21T20:32:14.1641297Z %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 = {}) 2025-03-21T20:32:14.1641989Z %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 = {}) 2025-03-21T20:32:14.1642756Z %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 = {}) 2025-03-21T20:32:14.1643537Z %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 = {}) 2025-03-21T20:32:14.1644213Z %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 = {}) 2025-03-21T20:32:14.1644902Z %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 = {}) 2025-03-21T20:32:14.1645633Z %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 = {}) 2025-03-21T20:32:14.1646595Z %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 = {}) 2025-03-21T20:32:14.1647378Z %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 = {}) 2025-03-21T20:32:14.1648200Z %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 = {}) 2025-03-21T20:32:14.1648928Z %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 = {}) 2025-03-21T20:32:14.1649686Z %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 = {}) 2025-03-21T20:32:14.1650418Z %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 = {}) 2025-03-21T20:32:14.1651166Z %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 = {}) 2025-03-21T20:32:14.1651895Z %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 = {}) 2025-03-21T20:32:14.1652629Z %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 = {}) 2025-03-21T20:32:14.1653356Z %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 = {}) 2025-03-21T20:32:14.1654095Z %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 = {}) 2025-03-21T20:32:14.1654825Z %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 = {}) 2025-03-21T20:32:14.1655563Z %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 = {}) 2025-03-21T20:32:14.1656228Z %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 = {}) 2025-03-21T20:32:14.1656906Z %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 = {}) 2025-03-21T20:32:14.1657569Z %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 = {}) 2025-03-21T20:32:14.1658239Z %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 = {}) 2025-03-21T20:32:14.1658897Z %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 = {}) 2025-03-21T20:32:14.1659568Z %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 = {}) 2025-03-21T20:32:14.1660280Z %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 = {}) 2025-03-21T20:32:14.1660974Z %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 = {}) 2025-03-21T20:32:14.1661632Z %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 = {}) 2025-03-21T20:32:14.1662339Z %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 = {}) 2025-03-21T20:32:14.1663001Z %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 = {}) 2025-03-21T20:32:14.1663672Z %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 = {}) 2025-03-21T20:32:14.1664310Z %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 = {}) 2025-03-21T20:32:14.1664963Z %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 = {}) 2025-03-21T20:32:14.1665606Z %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 = {}) 2025-03-21T20:32:14.1666260Z %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 = {}) 2025-03-21T20:32:14.1667075Z %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 = {}) 2025-03-21T20:32:14.1667735Z %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 = {}) 2025-03-21T20:32:14.1668378Z %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 = {}) 2025-03-21T20:32:14.1669035Z %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 = {}) 2025-03-21T20:32:14.1669672Z %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 = {}) 2025-03-21T20:32:14.1670325Z %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 = {}) 2025-03-21T20:32:14.1670968Z %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 = {}) 2025-03-21T20:32:14.1671626Z %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 = {}) 2025-03-21T20:32:14.1673341Z %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 = {}) 2025-03-21T20:32:14.1674173Z %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 = {}) 2025-03-21T20:32:14.1674906Z %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 = {}) 2025-03-21T20:32:14.1675725Z %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 = {}) 2025-03-21T20:32:14.1676386Z %aten_mul_tensor_115 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_14, %b__frozen_param156), kwargs = {}) 2025-03-21T20:32:14.1677041Z %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 = {}) 2025-03-21T20:32:14.1677695Z %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 = {}) 2025-03-21T20:32:14.1678442Z %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 = {}) 2025-03-21T20:32:14.1679161Z %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 = {}) 2025-03-21T20:32:14.1679879Z %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 = {}) 2025-03-21T20:32:14.1680604Z %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 = {}) 2025-03-21T20:32:14.1681369Z %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 = {}) 2025-03-21T20:32:14.1682292Z %aten_convolution_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_320, %b__frozen_param68, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1683041Z %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 = {}) 2025-03-21T20:32:14.1683722Z %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 = {}) 2025-03-21T20:32:14.1684390Z %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 = {}) 2025-03-21T20:32:14.1685147Z %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], %b__frozen_param69, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1685900Z %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 = {}) 2025-03-21T20:32:14.1686640Z %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 = {}) 2025-03-21T20:32:14.1687433Z %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 = {}) 2025-03-21T20:32:14.1688213Z %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 = {}) 2025-03-21T20:32:14.1689155Z %aten_convolution_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_322, %b__frozen_param70, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1690074Z %aten_convolution_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_324, %b__frozen_param71, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1690831Z %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 = {}) 2025-03-21T20:32:14.1691567Z %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 = {}) 2025-03-21T20:32:14.1692264Z %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 = {}) 2025-03-21T20:32:14.1692948Z %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 = {}) 2025-03-21T20:32:14.1693612Z %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 = {}) 2025-03-21T20:32:14.1694294Z %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 = {}) 2025-03-21T20:32:14.1694978Z %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 = {}) 2025-03-21T20:32:14.1695675Z %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 = {}) 2025-03-21T20:32:14.1696445Z %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 = {}) 2025-03-21T20:32:14.1697370Z %aten_convolution_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_326, %b__frozen_param72, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1698123Z %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 = {}) 2025-03-21T20:32:14.1698801Z %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 = {}) 2025-03-21T20:32:14.1699502Z %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 = {}) 2025-03-21T20:32:14.1700317Z %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], %b__frozen_param73, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1701041Z %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 = {}) 2025-03-21T20:32:14.1701775Z %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 = {}) 2025-03-21T20:32:14.1702503Z %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 = {}) 2025-03-21T20:32:14.1703259Z %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 = {}) 2025-03-21T20:32:14.1704027Z %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 = {}) 2025-03-21T20:32:14.1704784Z %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 = {}) 2025-03-21T20:32:14.1705720Z %aten_convolution_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_328, %b__frozen_param74, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1706644Z %aten_convolution_default_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_330, %b__frozen_param75, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1707573Z %aten_convolution_default_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_332, %b__frozen_param76, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1708313Z %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 = {}) 2025-03-21T20:32:14.1709068Z %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 = {}) 2025-03-21T20:32:14.1709805Z %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 = {}) 2025-03-21T20:32:14.1710498Z %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 = {}) 2025-03-21T20:32:14.1711179Z %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 = {}) 2025-03-21T20:32:14.1711866Z %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 = {}) 2025-03-21T20:32:14.1712594Z %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 = {}) 2025-03-21T20:32:14.1713447Z %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 = {}) 2025-03-21T20:32:14.1714150Z %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 = {}) 2025-03-21T20:32:14.1714899Z %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 = {}) 2025-03-21T20:32:14.1715618Z %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 = {}) 2025-03-21T20:32:14.1716581Z %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 = {}) 2025-03-21T20:32:14.1717253Z %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 = {}) 2025-03-21T20:32:14.1717936Z %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 = {}) 2025-03-21T20:32:14.1718603Z %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 = {}) 2025-03-21T20:32:14.1719296Z %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 = {}) 2025-03-21T20:32:14.1720024Z %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 = {}) 2025-03-21T20:32:14.1720770Z %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 = {}) 2025-03-21T20:32:14.1721495Z %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 = {}) 2025-03-21T20:32:14.1722221Z %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 = {}) 2025-03-21T20:32:14.1722957Z %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 = {}) 2025-03-21T20:32:14.1723678Z %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 = {}) 2025-03-21T20:32:14.1724416Z %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 = {}) 2025-03-21T20:32:14.1725137Z %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 = {}) 2025-03-21T20:32:14.1725932Z %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 = {}) 2025-03-21T20:32:14.1726682Z %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 = {}) 2025-03-21T20:32:14.1727417Z %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 = {}) 2025-03-21T20:32:14.1728184Z %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 = {}) 2025-03-21T20:32:14.1728865Z %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 = {}) 2025-03-21T20:32:14.1729526Z %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 = {}) 2025-03-21T20:32:14.1730201Z %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 = {}) 2025-03-21T20:32:14.1730866Z %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 = {}) 2025-03-21T20:32:14.1731540Z %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 = {}) 2025-03-21T20:32:14.1732201Z %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 = {}) 2025-03-21T20:32:14.1732875Z %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 = {}) 2025-03-21T20:32:14.1733533Z %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 = {}) 2025-03-21T20:32:14.1734206Z %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 = {}) 2025-03-21T20:32:14.1734860Z %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 = {}) 2025-03-21T20:32:14.1735537Z %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 = {}) 2025-03-21T20:32:14.1736197Z %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 = {}) 2025-03-21T20:32:14.1736863Z %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 = {}) 2025-03-21T20:32:14.1737526Z %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 = {}) 2025-03-21T20:32:14.1738229Z %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 = {}) 2025-03-21T20:32:14.1738944Z %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 = {}) 2025-03-21T20:32:14.1739653Z %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 = {}) 2025-03-21T20:32:14.1740368Z %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 = {}) 2025-03-21T20:32:14.1741074Z %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 = {}) 2025-03-21T20:32:14.1741767Z %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 = {}) 2025-03-21T20:32:14.1742472Z %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 = {}) 2025-03-21T20:32:14.1743160Z %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 = {}) 2025-03-21T20:32:14.1743860Z %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 = {}) 2025-03-21T20:32:14.1744554Z %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 = {}) 2025-03-21T20:32:14.1745214Z %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 = {}) 2025-03-21T20:32:14.1745858Z %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 = {}) 2025-03-21T20:32:14.1746506Z %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 = {}) 2025-03-21T20:32:14.1747146Z %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 = {}) 2025-03-21T20:32:14.1747796Z %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 = {}) 2025-03-21T20:32:14.1748440Z %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 = {}) 2025-03-21T20:32:14.1749089Z %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 = {}) 2025-03-21T20:32:14.1749721Z %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 = {}) 2025-03-21T20:32:14.1750376Z %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 = {}) 2025-03-21T20:32:14.1751047Z %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 = {}) 2025-03-21T20:32:14.1751754Z %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 = {}) 2025-03-21T20:32:14.1752396Z %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 = {}) 2025-03-21T20:32:14.1753177Z %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 = {}) 2025-03-21T20:32:14.1753820Z %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 = {}) 2025-03-21T20:32:14.1754454Z %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 = {}) 2025-03-21T20:32:14.1755110Z %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 = {}) 2025-03-21T20:32:14.1756786Z %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 = {}) 2025-03-21T20:32:14.1757478Z %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 = {}) 2025-03-21T20:32:14.1758186Z %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 = {}) 2025-03-21T20:32:14.1758875Z %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 = {}) 2025-03-21T20:32:14.1759573Z %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 = {}) 2025-03-21T20:32:14.1760255Z %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 = {}) 2025-03-21T20:32:14.1761033Z %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 = {}) 2025-03-21T20:32:14.1761795Z %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 = {}) 2025-03-21T20:32:14.1762480Z %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 = {}) 2025-03-21T20:32:14.1763157Z %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 = {}) 2025-03-21T20:32:14.1763939Z %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 = {}) 2025-03-21T20:32:14.1764949Z %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 = {}) 2025-03-21T20:32:14.1765691Z %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 = {}) 2025-03-21T20:32:14.1766444Z %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 = {}) 2025-03-21T20:32:14.1767350Z %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 = {}) 2025-03-21T20:32:14.1768078Z %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 = {}) 2025-03-21T20:32:14.1768817Z %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 = {}) 2025-03-21T20:32:14.1769536Z %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 = {}) 2025-03-21T20:32:14.1770274Z %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 = {}) 2025-03-21T20:32:14.1770997Z %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 = {}) 2025-03-21T20:32:14.1771739Z %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 = {}) 2025-03-21T20:32:14.1772463Z %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 = {}) 2025-03-21T20:32:14.1773192Z %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 = {}) 2025-03-21T20:32:14.1773932Z %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 = {}) 2025-03-21T20:32:14.1774600Z %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 = {}) 2025-03-21T20:32:14.1775274Z %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 = {}) 2025-03-21T20:32:14.1775934Z %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 = {}) 2025-03-21T20:32:14.1776610Z %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 = {}) 2025-03-21T20:32:14.1777331Z %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 = {}) 2025-03-21T20:32:14.1778083Z %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 = {}) 2025-03-21T20:32:14.1778744Z %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 = {}) 2025-03-21T20:32:14.1779446Z %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 = {}) 2025-03-21T20:32:14.1780112Z %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 = {}) 2025-03-21T20:32:14.1780786Z %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 = {}) 2025-03-21T20:32:14.1781446Z %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 = {}) 2025-03-21T20:32:14.1782114Z %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 = {}) 2025-03-21T20:32:14.1782760Z %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 = {}) 2025-03-21T20:32:14.1783409Z %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 = {}) 2025-03-21T20:32:14.1784050Z %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 = {}) 2025-03-21T20:32:14.1784707Z %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 = {}) 2025-03-21T20:32:14.1785344Z %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 = {}) 2025-03-21T20:32:14.1785992Z %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 = {}) 2025-03-21T20:32:14.1786631Z %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 = {}) 2025-03-21T20:32:14.1787286Z %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 = {}) 2025-03-21T20:32:14.1787929Z %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 = {}) 2025-03-21T20:32:14.1788579Z %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 = {}) 2025-03-21T20:32:14.1789221Z %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 = {}) 2025-03-21T20:32:14.1789904Z %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 = {}) 2025-03-21T20:32:14.1791603Z %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 = {}) 2025-03-21T20:32:14.1792324Z %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 = {}) 2025-03-21T20:32:14.1793168Z %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 = {}) 2025-03-21T20:32:14.1793957Z %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 = {}) 2025-03-21T20:32:14.1794613Z %aten_mul_tensor_130 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_16, %b__frozen_param157), kwargs = {}) 2025-03-21T20:32:14.1795265Z %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 = {}) 2025-03-21T20:32:14.1795921Z %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 = {}) 2025-03-21T20:32:14.1796666Z %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 = {}) 2025-03-21T20:32:14.1797384Z %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 = {}) 2025-03-21T20:32:14.1798099Z %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 = {}) 2025-03-21T20:32:14.1798819Z %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 = {}) 2025-03-21T20:32:14.1799587Z %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 = {}) 2025-03-21T20:32:14.1800517Z %aten_convolution_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_361, %b__frozen_param77, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1801277Z %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 = {}) 2025-03-21T20:32:14.1801951Z %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 = {}) 2025-03-21T20:32:14.1802618Z %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 = {}) 2025-03-21T20:32:14.1803408Z %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], %b__frozen_param78, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1804185Z %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 = {}) 2025-03-21T20:32:14.1804892Z %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 = {}) 2025-03-21T20:32:14.1805682Z %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 = {}) 2025-03-21T20:32:14.1806434Z %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 = {}) 2025-03-21T20:32:14.1807373Z %aten_convolution_default_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_363, %b__frozen_param79, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1808291Z %aten_convolution_default_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_365, %b__frozen_param80, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1809042Z %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 = {}) 2025-03-21T20:32:14.1809783Z %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 = {}) 2025-03-21T20:32:14.1810477Z %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 = {}) 2025-03-21T20:32:14.1811150Z %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 = {}) 2025-03-21T20:32:14.1811813Z %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 = {}) 2025-03-21T20:32:14.1812492Z %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 = {}) 2025-03-21T20:32:14.1813179Z %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 = {}) 2025-03-21T20:32:14.1813878Z %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 = {}) 2025-03-21T20:32:14.1814643Z %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 = {}) 2025-03-21T20:32:14.1815571Z %aten_convolution_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_367, %b__frozen_param81, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1816373Z %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 = {}) 2025-03-21T20:32:14.1817101Z %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 = {}) 2025-03-21T20:32:14.1817767Z %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 = {}) 2025-03-21T20:32:14.1818556Z %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], %b__frozen_param82, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1819283Z %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 = {}) 2025-03-21T20:32:14.1820004Z %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 = {}) 2025-03-21T20:32:14.1820739Z %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 = {}) 2025-03-21T20:32:14.1821491Z %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 = {}) 2025-03-21T20:32:14.1822265Z %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 = {}) 2025-03-21T20:32:14.1823022Z %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 = {}) 2025-03-21T20:32:14.1823962Z %aten_convolution_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_369, %b__frozen_param83, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1824880Z %aten_convolution_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_371, %b__frozen_param84, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1825806Z %aten_convolution_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_373, %b__frozen_param85, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1826547Z %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 = {}) 2025-03-21T20:32:14.1827300Z %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 = {}) 2025-03-21T20:32:14.1828036Z %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 = {}) 2025-03-21T20:32:14.1828736Z %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 = {}) 2025-03-21T20:32:14.1829455Z %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 = {}) 2025-03-21T20:32:14.1830176Z %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 = {}) 2025-03-21T20:32:14.1830896Z %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 = {}) 2025-03-21T20:32:14.1831610Z %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 = {}) 2025-03-21T20:32:14.1832329Z %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 = {}) 2025-03-21T20:32:14.1833158Z %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 = {}) 2025-03-21T20:32:14.1833876Z %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 = {}) 2025-03-21T20:32:14.1834840Z %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 = {}) 2025-03-21T20:32:14.1835526Z %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 = {}) 2025-03-21T20:32:14.1836220Z %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 = {}) 2025-03-21T20:32:14.1836894Z %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 = {}) 2025-03-21T20:32:14.1837609Z %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 = {}) 2025-03-21T20:32:14.1838336Z %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 = {}) 2025-03-21T20:32:14.1839073Z %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 = {}) 2025-03-21T20:32:14.1839803Z %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 = {}) 2025-03-21T20:32:14.1840544Z %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 = {}) 2025-03-21T20:32:14.1841270Z %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 = {}) 2025-03-21T20:32:14.1842013Z %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 = {}) 2025-03-21T20:32:14.1842776Z %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 = {}) 2025-03-21T20:32:14.1843567Z %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 = {}) 2025-03-21T20:32:14.1844291Z %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 = {}) 2025-03-21T20:32:14.1845053Z %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 = {}) 2025-03-21T20:32:14.1845774Z %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 = {}) 2025-03-21T20:32:14.1846516Z %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 = {}) 2025-03-21T20:32:14.1847184Z %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 = {}) 2025-03-21T20:32:14.1847860Z %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 = {}) 2025-03-21T20:32:14.1848524Z %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 = {}) 2025-03-21T20:32:14.1849201Z %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 = {}) 2025-03-21T20:32:14.1849864Z %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 = {}) 2025-03-21T20:32:14.1850518Z %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 = {}) 2025-03-21T20:32:14.1851191Z %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 = {}) 2025-03-21T20:32:14.1851848Z %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 = {}) 2025-03-21T20:32:14.1852523Z %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 = {}) 2025-03-21T20:32:14.1853181Z %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 = {}) 2025-03-21T20:32:14.1853849Z %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 = {}) 2025-03-21T20:32:14.1854508Z %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 = {}) 2025-03-21T20:32:14.1855174Z %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 = {}) 2025-03-21T20:32:14.1855939Z %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 = {}) 2025-03-21T20:32:14.1856630Z %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 = {}) 2025-03-21T20:32:14.1857291Z %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 = {}) 2025-03-21T20:32:14.1858039Z %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 = {}) 2025-03-21T20:32:14.1858734Z %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 = {}) 2025-03-21T20:32:14.1859442Z %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 = {}) 2025-03-21T20:32:14.1860131Z %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 = {}) 2025-03-21T20:32:14.1860842Z %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 = {}) 2025-03-21T20:32:14.1861534Z %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 = {}) 2025-03-21T20:32:14.1862244Z %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 = {}) 2025-03-21T20:32:14.1862941Z %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 = {}) 2025-03-21T20:32:14.1863600Z %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 = {}) 2025-03-21T20:32:14.1864243Z %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 = {}) 2025-03-21T20:32:14.1864900Z %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 = {}) 2025-03-21T20:32:14.1865538Z %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 = {}) 2025-03-21T20:32:14.1866193Z %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 = {}) 2025-03-21T20:32:14.1866993Z %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 = {}) 2025-03-21T20:32:14.1867651Z %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 = {}) 2025-03-21T20:32:14.1868350Z %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 = {}) 2025-03-21T20:32:14.1869033Z %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 = {}) 2025-03-21T20:32:14.1869701Z %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 = {}) 2025-03-21T20:32:14.1870356Z %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 = {}) 2025-03-21T20:32:14.1871026Z %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 = {}) 2025-03-21T20:32:14.1871675Z %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 = {}) 2025-03-21T20:32:14.1872313Z %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 = {}) 2025-03-21T20:32:14.1873033Z %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 = {}) 2025-03-21T20:32:14.1873661Z %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 = {}) 2025-03-21T20:32:14.1875319Z %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 = {}) 2025-03-21T20:32:14.1876026Z %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 = {}) 2025-03-21T20:32:14.1876737Z %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 = {}) 2025-03-21T20:32:14.1877431Z %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 = {}) 2025-03-21T20:32:14.1878137Z %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 = {}) 2025-03-21T20:32:14.1878816Z %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 = {}) 2025-03-21T20:32:14.1879601Z %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 = {}) 2025-03-21T20:32:14.1880373Z %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 = {}) 2025-03-21T20:32:14.1881067Z %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 = {}) 2025-03-21T20:32:14.1881770Z %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 = {}) 2025-03-21T20:32:14.1882563Z %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 = {}) 2025-03-21T20:32:14.1883508Z %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 = {}) 2025-03-21T20:32:14.1884270Z %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 = {}) 2025-03-21T20:32:14.1884997Z %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 = {}) 2025-03-21T20:32:14.1885738Z %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 = {}) 2025-03-21T20:32:14.1886461Z %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 = {}) 2025-03-21T20:32:14.1887205Z %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 = {}) 2025-03-21T20:32:14.1887920Z %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 = {}) 2025-03-21T20:32:14.1888662Z %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 = {}) 2025-03-21T20:32:14.1889387Z %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 = {}) 2025-03-21T20:32:14.1890124Z %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 = {}) 2025-03-21T20:32:14.1890846Z %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 = {}) 2025-03-21T20:32:14.1891580Z %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 = {}) 2025-03-21T20:32:14.1892305Z %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 = {}) 2025-03-21T20:32:14.1892974Z %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 = {}) 2025-03-21T20:32:14.1893636Z %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 = {}) 2025-03-21T20:32:14.1894312Z %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 = {}) 2025-03-21T20:32:14.1895027Z %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 = {}) 2025-03-21T20:32:14.1895724Z %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 = {}) 2025-03-21T20:32:14.1896386Z %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 = {}) 2025-03-21T20:32:14.1897075Z %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 = {}) 2025-03-21T20:32:14.1897730Z %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 = {}) 2025-03-21T20:32:14.1898388Z %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 = {}) 2025-03-21T20:32:14.1899055Z %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 = {}) 2025-03-21T20:32:14.1899711Z %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 = {}) 2025-03-21T20:32:14.1900377Z %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 = {}) 2025-03-21T20:32:14.1901015Z %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 = {}) 2025-03-21T20:32:14.1901677Z %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 = {}) 2025-03-21T20:32:14.1902316Z %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 = {}) 2025-03-21T20:32:14.1902972Z %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 = {}) 2025-03-21T20:32:14.1903614Z %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 = {}) 2025-03-21T20:32:14.1904260Z %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 = {}) 2025-03-21T20:32:14.1904912Z %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 = {}) 2025-03-21T20:32:14.1905567Z %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 = {}) 2025-03-21T20:32:14.1906205Z %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 = {}) 2025-03-21T20:32:14.1906853Z %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 = {}) 2025-03-21T20:32:14.1908126Z %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 = {}) 2025-03-21T20:32:14.1908824Z %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 = {}) 2025-03-21T20:32:14.1910492Z %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 = {}) 2025-03-21T20:32:14.1911192Z %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 = {}) 2025-03-21T20:32:14.1911927Z %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 = {}) 2025-03-21T20:32:14.1912709Z %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 = {}) 2025-03-21T20:32:14.1913461Z %aten_mul_tensor_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_18, %b__frozen_param158), kwargs = {}) 2025-03-21T20:32:14.1914111Z %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 = {}) 2025-03-21T20:32:14.1914772Z %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 = {}) 2025-03-21T20:32:14.1915522Z %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 = {}) 2025-03-21T20:32:14.1916236Z %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 = {}) 2025-03-21T20:32:14.1916949Z %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 = {}) 2025-03-21T20:32:14.1917670Z %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 = {}) 2025-03-21T20:32:14.1918447Z %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 = {}) 2025-03-21T20:32:14.1919363Z %aten_convolution_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_402, %b__frozen_param86, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1920117Z %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 = {}) 2025-03-21T20:32:14.1920828Z %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 = {}) 2025-03-21T20:32:14.1921516Z %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 = {}) 2025-03-21T20:32:14.1922298Z %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], %b__frozen_param87, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1923062Z %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 = {}) 2025-03-21T20:32:14.1923780Z %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 = {}) 2025-03-21T20:32:14.1924558Z %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 = {}) 2025-03-21T20:32:14.1925313Z %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 = {}) 2025-03-21T20:32:14.1926240Z %aten_convolution_default_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_404, %b__frozen_param88, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1927158Z %aten_convolution_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_406, %b__frozen_param89, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1927912Z %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 = {}) 2025-03-21T20:32:14.1928650Z %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 = {}) 2025-03-21T20:32:14.1929348Z %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 = {}) 2025-03-21T20:32:14.1930031Z %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 = {}) 2025-03-21T20:32:14.1930690Z %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 = {}) 2025-03-21T20:32:14.1931379Z %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 = {}) 2025-03-21T20:32:14.1932058Z %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 = {}) 2025-03-21T20:32:14.1932751Z %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 = {}) 2025-03-21T20:32:14.1933520Z %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 = {}) 2025-03-21T20:32:14.1934470Z %aten_convolution_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_408, %b__frozen_param90, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1935271Z %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 = {}) 2025-03-21T20:32:14.1935957Z %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 = {}) 2025-03-21T20:32:14.1936658Z %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 = {}) 2025-03-21T20:32:14.1937421Z %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], %b__frozen_param91, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.1938153Z %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 = {}) 2025-03-21T20:32:14.1938865Z %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 = {}) 2025-03-21T20:32:14.1939596Z %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 = {}) 2025-03-21T20:32:14.1940350Z %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 = {}) 2025-03-21T20:32:14.1941123Z %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 = {}) 2025-03-21T20:32:14.1941882Z %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 = {}) 2025-03-21T20:32:14.1942814Z %aten_convolution_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_410, %b__frozen_param92, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1943733Z %aten_convolution_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_412, %b__frozen_param93, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1944666Z %aten_convolution_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_414, %b__frozen_param94, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.1945410Z %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 = {}) 2025-03-21T20:32:14.1946159Z %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 = {}) 2025-03-21T20:32:14.1946895Z %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 = {}) 2025-03-21T20:32:14.1947644Z %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 = {}) 2025-03-21T20:32:14.1948352Z %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 = {}) 2025-03-21T20:32:14.1949045Z %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 = {}) 2025-03-21T20:32:14.1949771Z %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 = {}) 2025-03-21T20:32:14.1950490Z %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 = {}) 2025-03-21T20:32:14.1951195Z %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 = {}) 2025-03-21T20:32:14.1951919Z %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 = {}) 2025-03-21T20:32:14.1952631Z %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 = {}) 2025-03-21T20:32:14.1953699Z %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 = {}) 2025-03-21T20:32:14.1954379Z %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 = {}) 2025-03-21T20:32:14.1955070Z %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 = {}) 2025-03-21T20:32:14.1955742Z %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 = {}) 2025-03-21T20:32:14.1956428Z %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 = {}) 2025-03-21T20:32:14.1957156Z %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 = {}) 2025-03-21T20:32:14.1957895Z %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 = {}) 2025-03-21T20:32:14.1958620Z %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 = {}) 2025-03-21T20:32:14.1959360Z %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 = {}) 2025-03-21T20:32:14.1960085Z %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 = {}) 2025-03-21T20:32:14.1960894Z %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 = {}) 2025-03-21T20:32:14.1961639Z %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 = {}) 2025-03-21T20:32:14.1962378Z %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 = {}) 2025-03-21T20:32:14.1963132Z %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 = {}) 2025-03-21T20:32:14.1963878Z %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 = {}) 2025-03-21T20:32:14.1964607Z %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 = {}) 2025-03-21T20:32:14.1965349Z %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 = {}) 2025-03-21T20:32:14.1966023Z %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 = {}) 2025-03-21T20:32:14.1966865Z %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 = {}) 2025-03-21T20:32:14.1967538Z %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 = {}) 2025-03-21T20:32:14.1968220Z %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 = {}) 2025-03-21T20:32:14.1968881Z %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 = {}) 2025-03-21T20:32:14.1969558Z %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 = {}) 2025-03-21T20:32:14.1970219Z %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 = {}) 2025-03-21T20:32:14.1970894Z %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 = {}) 2025-03-21T20:32:14.1971551Z %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 = {}) 2025-03-21T20:32:14.1972217Z %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 = {}) 2025-03-21T20:32:14.1972870Z %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 = {}) 2025-03-21T20:32:14.1973599Z %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 = {}) 2025-03-21T20:32:14.1974321Z %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 = {}) 2025-03-21T20:32:14.1974978Z %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 = {}) 2025-03-21T20:32:14.1975685Z %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 = {}) 2025-03-21T20:32:14.1976346Z %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 = {}) 2025-03-21T20:32:14.1977063Z %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 = {}) 2025-03-21T20:32:14.1977759Z %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 = {}) 2025-03-21T20:32:14.1978468Z %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 = {}) 2025-03-21T20:32:14.1979167Z %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 = {}) 2025-03-21T20:32:14.1979880Z %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 = {}) 2025-03-21T20:32:14.1980574Z %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 = {}) 2025-03-21T20:32:14.1981285Z %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 = {}) 2025-03-21T20:32:14.1981982Z %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 = {}) 2025-03-21T20:32:14.1982636Z %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 = {}) 2025-03-21T20:32:14.1983274Z %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 = {}) 2025-03-21T20:32:14.1983932Z %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 = {}) 2025-03-21T20:32:14.1984575Z %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 = {}) 2025-03-21T20:32:14.1985235Z %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 = {}) 2025-03-21T20:32:14.1985874Z %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 = {}) 2025-03-21T20:32:14.1986589Z %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 = {}) 2025-03-21T20:32:14.1987255Z %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 = {}) 2025-03-21T20:32:14.1987909Z %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 = {}) 2025-03-21T20:32:14.1988571Z %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 = {}) 2025-03-21T20:32:14.1989237Z %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 = {}) 2025-03-21T20:32:14.1989882Z %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 = {}) 2025-03-21T20:32:14.1990531Z %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 = {}) 2025-03-21T20:32:14.1991161Z %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 = {}) 2025-03-21T20:32:14.1991805Z %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 = {}) 2025-03-21T20:32:14.1992436Z %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 = {}) 2025-03-21T20:32:14.1994181Z %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 = {}) 2025-03-21T20:32:14.1994875Z %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 = {}) 2025-03-21T20:32:14.1995580Z %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 = {}) 2025-03-21T20:32:14.1996274Z %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 = {}) 2025-03-21T20:32:14.1996975Z %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 = {}) 2025-03-21T20:32:14.1997656Z %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 = {}) 2025-03-21T20:32:14.1998442Z %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 = {}) 2025-03-21T20:32:14.1999247Z %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 = {}) 2025-03-21T20:32:14.1999982Z %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 = {}) 2025-03-21T20:32:14.2000655Z %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 = {}) 2025-03-21T20:32:14.2001424Z %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 = {}) 2025-03-21T20:32:14.2002376Z %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 = {}) 2025-03-21T20:32:14.2003126Z %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 = {}) 2025-03-21T20:32:14.2003853Z %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 = {}) 2025-03-21T20:32:14.2004591Z %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 = {}) 2025-03-21T20:32:14.2005321Z %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 = {}) 2025-03-21T20:32:14.2006056Z %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 = {}) 2025-03-21T20:32:14.2006777Z %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 = {}) 2025-03-21T20:32:14.2007515Z %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 = {}) 2025-03-21T20:32:14.2008239Z %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 = {}) 2025-03-21T20:32:14.2008978Z %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 = {}) 2025-03-21T20:32:14.2009705Z %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 = {}) 2025-03-21T20:32:14.2010442Z %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 = {}) 2025-03-21T20:32:14.2011163Z %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 = {}) 2025-03-21T20:32:14.2011840Z %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 = {}) 2025-03-21T20:32:14.2012536Z %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 = {}) 2025-03-21T20:32:14.2013289Z %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 = {}) 2025-03-21T20:32:14.2013948Z %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 = {}) 2025-03-21T20:32:14.2014644Z %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 = {}) 2025-03-21T20:32:14.2015302Z %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 = {}) 2025-03-21T20:32:14.2015971Z %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 = {}) 2025-03-21T20:32:14.2016628Z %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 = {}) 2025-03-21T20:32:14.2017301Z %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 = {}) 2025-03-21T20:32:14.2017960Z %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 = {}) 2025-03-21T20:32:14.2018640Z %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 = {}) 2025-03-21T20:32:14.2019307Z %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 = {}) 2025-03-21T20:32:14.2019958Z %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 = {}) 2025-03-21T20:32:14.2020598Z %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 = {}) 2025-03-21T20:32:14.2021248Z %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 = {}) 2025-03-21T20:32:14.2021889Z %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 = {}) 2025-03-21T20:32:14.2022530Z %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 = {}) 2025-03-21T20:32:14.2023182Z %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 = {}) 2025-03-21T20:32:14.2023829Z %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 = {}) 2025-03-21T20:32:14.2024485Z %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 = {}) 2025-03-21T20:32:14.2025154Z %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 = {}) 2025-03-21T20:32:14.2025856Z %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 = {}) 2025-03-21T20:32:14.2026501Z %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 = {}) 2025-03-21T20:32:14.2027178Z %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 = {}) 2025-03-21T20:32:14.2028821Z %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 = {}) 2025-03-21T20:32:14.2029527Z %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 = {}) 2025-03-21T20:32:14.2030255Z %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 = {}) 2025-03-21T20:32:14.2031027Z %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 = {}) 2025-03-21T20:32:14.2031681Z %aten_mul_tensor_160 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_20, %b__frozen_param159), kwargs = {}) 2025-03-21T20:32:14.2032338Z %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 = {}) 2025-03-21T20:32:14.2033095Z %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 = {}) 2025-03-21T20:32:14.2033843Z %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 = {}) 2025-03-21T20:32:14.2034558Z %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 = {}) 2025-03-21T20:32:14.2035277Z %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 = {}) 2025-03-21T20:32:14.2036004Z %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 = {}) 2025-03-21T20:32:14.2036770Z %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 = {}) 2025-03-21T20:32:14.2037686Z %aten_convolution_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_443, %b__frozen_param95, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2038499Z %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 = {}) 2025-03-21T20:32:14.2039206Z %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 = {}) 2025-03-21T20:32:14.2039875Z %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 = {}) 2025-03-21T20:32:14.2040653Z %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], %b__frozen_param96, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.2041384Z %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 = {}) 2025-03-21T20:32:14.2042096Z %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 = {}) 2025-03-21T20:32:14.2042867Z %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 = {}) 2025-03-21T20:32:14.2043626Z %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 = {}) 2025-03-21T20:32:14.2044562Z %aten_convolution_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_445, %b__frozen_param97, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2045476Z %aten_convolution_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_447, %b__frozen_param98, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2046226Z %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 = {}) 2025-03-21T20:32:14.2046962Z %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 = {}) 2025-03-21T20:32:14.2047658Z %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 = {}) 2025-03-21T20:32:14.2048346Z %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 = {}) 2025-03-21T20:32:14.2049009Z %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 = {}) 2025-03-21T20:32:14.2049693Z %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 = {}) 2025-03-21T20:32:14.2050372Z %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 = {}) 2025-03-21T20:32:14.2051103Z %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 = {}) 2025-03-21T20:32:14.2051922Z %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 = {}) 2025-03-21T20:32:14.2052845Z %aten_convolution_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_449, %b__frozen_param99, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2053628Z %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 = {}) 2025-03-21T20:32:14.2054307Z %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 = {}) 2025-03-21T20:32:14.2054977Z %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 = {}) 2025-03-21T20:32:14.2055737Z %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], %b__frozen_param100, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.2056466Z %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 = {}) 2025-03-21T20:32:14.2057181Z %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 = {}) 2025-03-21T20:32:14.2057910Z %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 = {}) 2025-03-21T20:32:14.2058670Z %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 = {}) 2025-03-21T20:32:14.2059434Z %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 = {}) 2025-03-21T20:32:14.2060193Z %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 = {}) 2025-03-21T20:32:14.2061133Z %aten_convolution_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_451, %b__frozen_param101, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2062057Z %aten_convolution_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_453, %b__frozen_param102, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2062990Z %aten_convolution_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_455, %b__frozen_param103, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2063728Z %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 = {}) 2025-03-21T20:32:14.2064558Z %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 = {}) 2025-03-21T20:32:14.2065343Z %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 = {}) 2025-03-21T20:32:14.2066040Z %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 = {}) 2025-03-21T20:32:14.2066983Z %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 = {}) 2025-03-21T20:32:14.2067683Z %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 = {}) 2025-03-21T20:32:14.2068388Z %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 = {}) 2025-03-21T20:32:14.2069111Z %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 = {}) 2025-03-21T20:32:14.2069809Z %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 = {}) 2025-03-21T20:32:14.2070536Z %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 = {}) 2025-03-21T20:32:14.2071250Z %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 = {}) 2025-03-21T20:32:14.2072224Z %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 = {}) 2025-03-21T20:32:14.2073002Z %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 = {}) 2025-03-21T20:32:14.2073692Z %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 = {}) 2025-03-21T20:32:14.2074369Z %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 = {}) 2025-03-21T20:32:14.2075058Z %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 = {}) 2025-03-21T20:32:14.2075786Z %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 = {}) 2025-03-21T20:32:14.2076524Z %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 = {}) 2025-03-21T20:32:14.2077246Z %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 = {}) 2025-03-21T20:32:14.2078029Z %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 = {}) 2025-03-21T20:32:14.2078814Z %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 = {}) 2025-03-21T20:32:14.2079556Z %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 = {}) 2025-03-21T20:32:14.2080307Z %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 = {}) 2025-03-21T20:32:14.2081047Z %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 = {}) 2025-03-21T20:32:14.2081769Z %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 = {}) 2025-03-21T20:32:14.2082500Z %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 = {}) 2025-03-21T20:32:14.2083219Z %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 = {}) 2025-03-21T20:32:14.2083957Z %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 = {}) 2025-03-21T20:32:14.2084626Z %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 = {}) 2025-03-21T20:32:14.2085305Z %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 = {}) 2025-03-21T20:32:14.2085975Z %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 = {}) 2025-03-21T20:32:14.2086650Z %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 = {}) 2025-03-21T20:32:14.2087309Z %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 = {}) 2025-03-21T20:32:14.2093632Z %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 = {}) 2025-03-21T20:32:14.2094337Z %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 = {}) 2025-03-21T20:32:14.2095001Z %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 = {}) 2025-03-21T20:32:14.2095658Z %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 = {}) 2025-03-21T20:32:14.2096410Z %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 = {}) 2025-03-21T20:32:14.2097129Z %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 = {}) 2025-03-21T20:32:14.2097792Z %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 = {}) 2025-03-21T20:32:14.2098475Z %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 = {}) 2025-03-21T20:32:14.2099141Z %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 = {}) 2025-03-21T20:32:14.2099802Z %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 = {}) 2025-03-21T20:32:14.2100471Z %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 = {}) 2025-03-21T20:32:14.2101170Z %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 = {}) 2025-03-21T20:32:14.2101871Z %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 = {}) 2025-03-21T20:32:14.2102559Z %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 = {}) 2025-03-21T20:32:14.2103266Z %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 = {}) 2025-03-21T20:32:14.2103961Z %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 = {}) 2025-03-21T20:32:14.2104657Z %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 = {}) 2025-03-21T20:32:14.2105351Z %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 = {}) 2025-03-21T20:32:14.2106062Z %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 = {}) 2025-03-21T20:32:14.2106711Z %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 = {}) 2025-03-21T20:32:14.2107354Z %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 = {}) 2025-03-21T20:32:14.2107992Z %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 = {}) 2025-03-21T20:32:14.2108637Z %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 = {}) 2025-03-21T20:32:14.2109299Z %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 = {}) 2025-03-21T20:32:14.2110007Z %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 = {}) 2025-03-21T20:32:14.2110648Z %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 = {}) 2025-03-21T20:32:14.2111323Z %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 = {}) 2025-03-21T20:32:14.2111963Z %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 = {}) 2025-03-21T20:32:14.2112605Z %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 = {}) 2025-03-21T20:32:14.2113380Z %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 = {}) 2025-03-21T20:32:14.2114034Z %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 = {}) 2025-03-21T20:32:14.2114670Z %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 = {}) 2025-03-21T20:32:14.2115299Z %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 = {}) 2025-03-21T20:32:14.2115944Z %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 = {}) 2025-03-21T20:32:14.2116567Z %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 = {}) 2025-03-21T20:32:14.2118208Z %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 = {}) 2025-03-21T20:32:14.2118914Z %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 = {}) 2025-03-21T20:32:14.2119603Z %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 = {}) 2025-03-21T20:32:14.2120297Z %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 = {}) 2025-03-21T20:32:14.2120982Z %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 = {}) 2025-03-21T20:32:14.2121665Z %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 = {}) 2025-03-21T20:32:14.2122487Z %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 = {}) 2025-03-21T20:32:14.2123278Z %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 = {}) 2025-03-21T20:32:14.2123949Z %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 = {}) 2025-03-21T20:32:14.2124654Z %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 = {}) 2025-03-21T20:32:14.2125385Z %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 = {}) 2025-03-21T20:32:14.2126342Z %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 = {}) 2025-03-21T20:32:14.2127070Z %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 = {}) 2025-03-21T20:32:14.2127797Z %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 = {}) 2025-03-21T20:32:14.2128518Z %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 = {}) 2025-03-21T20:32:14.2129252Z %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 = {}) 2025-03-21T20:32:14.2129969Z %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 = {}) 2025-03-21T20:32:14.2130686Z %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 = {}) 2025-03-21T20:32:14.2131413Z %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 = {}) 2025-03-21T20:32:14.2132134Z %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 = {}) 2025-03-21T20:32:14.2132866Z %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 = {}) 2025-03-21T20:32:14.2133579Z %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 = {}) 2025-03-21T20:32:14.2134309Z %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 = {}) 2025-03-21T20:32:14.2135050Z %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 = {}) 2025-03-21T20:32:14.2135774Z %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 = {}) 2025-03-21T20:32:14.2136426Z %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 = {}) 2025-03-21T20:32:14.2137118Z %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 = {}) 2025-03-21T20:32:14.2137772Z %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 = {}) 2025-03-21T20:32:14.2138433Z %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 = {}) 2025-03-21T20:32:14.2139083Z %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 = {}) 2025-03-21T20:32:14.2139743Z %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 = {}) 2025-03-21T20:32:14.2140399Z %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 = {}) 2025-03-21T20:32:14.2141063Z %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 = {}) 2025-03-21T20:32:14.2141715Z %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 = {}) 2025-03-21T20:32:14.2142390Z %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 = {}) 2025-03-21T20:32:14.2143044Z %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 = {}) 2025-03-21T20:32:14.2143691Z %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 = {}) 2025-03-21T20:32:14.2144332Z %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 = {}) 2025-03-21T20:32:14.2144983Z %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 = {}) 2025-03-21T20:32:14.2145621Z %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 = {}) 2025-03-21T20:32:14.2146264Z %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 = {}) 2025-03-21T20:32:14.2146898Z %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 = {}) 2025-03-21T20:32:14.2147568Z %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 = {}) 2025-03-21T20:32:14.2148257Z %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 = {}) 2025-03-21T20:32:14.2148900Z %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 = {}) 2025-03-21T20:32:14.2149573Z %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 = {}) 2025-03-21T20:32:14.2150221Z %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 = {}) 2025-03-21T20:32:14.2150860Z %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 = {}) 2025-03-21T20:32:14.2152514Z %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 = {}) 2025-03-21T20:32:14.2153302Z %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 = {}) 2025-03-21T20:32:14.2154049Z %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 = {}) 2025-03-21T20:32:14.2154823Z %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 = {}) 2025-03-21T20:32:14.2155487Z %aten_mul_tensor_175 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_matmul_default_22, %b__frozen_param160), kwargs = {}) 2025-03-21T20:32:14.2156126Z %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 = {}) 2025-03-21T20:32:14.2156790Z %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 = {}) 2025-03-21T20:32:14.2157521Z %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 = {}) 2025-03-21T20:32:14.2158250Z %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 = {}) 2025-03-21T20:32:14.2158950Z %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 = {}) 2025-03-21T20:32:14.2159684Z %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 = {}) 2025-03-21T20:32:14.2160472Z %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 = {}) 2025-03-21T20:32:14.2161480Z %aten_convolution_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_484, %b__frozen_param104, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2162222Z %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 = {}) 2025-03-21T20:32:14.2162936Z %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 = {}) 2025-03-21T20:32:14.2163591Z %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 = {}) 2025-03-21T20:32:14.2164361Z %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], %b__frozen_param105, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.2165081Z %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 = {}) 2025-03-21T20:32:14.2165799Z %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 = {}) 2025-03-21T20:32:14.2166767Z %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 = {}) 2025-03-21T20:32:14.2167530Z %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 = {}) 2025-03-21T20:32:14.2168454Z %aten_convolution_default_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_486, %b__frozen_param106, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2169386Z %aten_convolution_default_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_488, %b__frozen_param107, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2170124Z %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 = {}) 2025-03-21T20:32:14.2170873Z %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 = {}) 2025-03-21T20:32:14.2171549Z %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 = {}) 2025-03-21T20:32:14.2172246Z %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 = {}) 2025-03-21T20:32:14.2172895Z %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 = {}) 2025-03-21T20:32:14.2173589Z %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 = {}) 2025-03-21T20:32:14.2174357Z %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 = {}) 2025-03-21T20:32:14.2175096Z %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 = {}) 2025-03-21T20:32:14.2175854Z %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 = {}) 2025-03-21T20:32:14.2176820Z %aten_convolution_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_490, %b__frozen_param108, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2177559Z %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 = {}) 2025-03-21T20:32:14.2178260Z %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 = {}) 2025-03-21T20:32:14.2178915Z %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 = {}) 2025-03-21T20:32:14.2179546Z %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 = {}) 2025-03-21T20:32:14.2180334Z %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], %b__frozen_param109, 9.999999747378752e-06), kwargs = {}) 2025-03-21T20:32:14.2181036Z %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 = {}) 2025-03-21T20:32:14.2181759Z %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 = {}) 2025-03-21T20:32:14.2182690Z %aten_convolution_default_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.convolution.default](args = (%aten_permute_copy_default_492, %b__frozen_param110, None, [1, 1], [0, 0], [1, 1], False, [0, 0], 1), kwargs = {}) 2025-03-21T20:32:14.2183423Z %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 = {}) 2025-03-21T20:32:14.2184126Z %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 = {}) 2025-03-21T20:32:14.2186588Z 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] 2025-03-21T20:32:14.2191564Z %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 = {}) 2025-03-21T20:32:14.2192021Z %getitem : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 0), kwargs = {}) 2025-03-21T20:32:14.2192423Z %getitem_1 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 1), kwargs = {}) 2025-03-21T20:32:14.2192928Z %getitem_2 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 2), kwargs = {}) 2025-03-21T20:32:14.2193331Z %getitem_3 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 3), kwargs = {}) 2025-03-21T20:32:14.2193744Z %getitem_4 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 4), kwargs = {}) 2025-03-21T20:32:14.2194148Z %getitem_5 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 5), kwargs = {}) 2025-03-21T20:32:14.2194569Z %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 6), kwargs = {}) 2025-03-21T20:32:14.2194970Z %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 7), kwargs = {}) 2025-03-21T20:32:14.2195383Z %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 8), kwargs = {}) 2025-03-21T20:32:14.2195783Z %getitem_9 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 9), kwargs = {}) 2025-03-21T20:32:14.2196191Z %getitem_10 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 10), kwargs = {}) 2025-03-21T20:32:14.2196614Z %getitem_11 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 11), kwargs = {}) 2025-03-21T20:32:14.2197021Z %getitem_12 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 12), kwargs = {}) 2025-03-21T20:32:14.2197439Z %getitem_13 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 13), kwargs = {}) 2025-03-21T20:32:14.2197849Z %getitem_14 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 14), kwargs = {}) 2025-03-21T20:32:14.2198265Z %getitem_15 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 15), kwargs = {}) 2025-03-21T20:32:14.2198671Z %getitem_16 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 16), kwargs = {}) 2025-03-21T20:32:14.2199087Z %getitem_17 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 17), kwargs = {}) 2025-03-21T20:32:14.2199530Z %getitem_18 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 18), kwargs = {}) 2025-03-21T20:32:14.2199981Z %getitem_19 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 19), kwargs = {}) 2025-03-21T20:32:14.2200411Z %getitem_20 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 20), kwargs = {}) 2025-03-21T20:32:14.2200817Z %getitem_21 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 21), kwargs = {}) 2025-03-21T20:32:14.2201242Z %getitem_22 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 22), kwargs = {}) 2025-03-21T20:32:14.2201676Z %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 23), kwargs = {}) 2025-03-21T20:32:14.2202096Z %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%executorch_call_delegate, 24), kwargs = {}) 2025-03-21T20:32:14.2202813Z %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 = {}) 2025-03-21T20:32:14.2203543Z %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 = {}) 2025-03-21T20:32:14.2204264Z %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 = {}) 2025-03-21T20:32:14.2204991Z %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 = {}) 2025-03-21T20:32:14.2205709Z %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 = {}) 2025-03-21T20:32:14.2206436Z %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 = {}) 2025-03-21T20:32:14.2207147Z %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 = {}) 2025-03-21T20:32:14.2207872Z %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 = {}) 2025-03-21T20:32:14.2208582Z %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 = {}) 2025-03-21T20:32:14.2209308Z %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 = {}) 2025-03-21T20:32:14.2210029Z %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 = {}) 2025-03-21T20:32:14.2210757Z %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 = {}) 2025-03-21T20:32:14.2211484Z %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 = {}) 2025-03-21T20:32:14.2212252Z %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 = {}) 2025-03-21T20:32:14.2212997Z %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 = {}) 2025-03-21T20:32:14.2213756Z %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 = {}) 2025-03-21T20:32:14.2214471Z %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 = {}) 2025-03-21T20:32:14.2215227Z %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 = {}) 2025-03-21T20:32:14.2215951Z %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 = {}) 2025-03-21T20:32:14.2216684Z %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 = {}) 2025-03-21T20:32:14.2217402Z %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 = {}) 2025-03-21T20:32:14.2218134Z %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 = {}) 2025-03-21T20:32:14.2218857Z %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 = {}) 2025-03-21T20:32:14.2219588Z %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 = {}) 2025-03-21T20:32:14.2221555Z 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) 2025-03-21T20:32:14.2221566Z 2025-03-21T20:32:14.2222229Z [INFO 2025-03-21 20:32:13,943 builder.py:448] Applied partitioners: 2025-03-21T20:32:14.2222359Z Total delegated subgraphs: 1 2025-03-21T20:32:14.2222494Z Number of delegated nodes: 1992 2025-03-21T20:32:14.2222620Z Number of non-delegated nodes: 49 2025-03-21T20:32:14.2222625Z 2025-03-21T20:32:14.2223247Z ╒════╤═════════════════════════════╤═══════════════════════════════════╤═══════════════════════════════════════╕ 2025-03-21T20:32:14.2223670Z │ │ op_type │ occurrences_in_delegated_graphs │ occurrences_in_non_delegated_graphs │ 2025-03-21T20:32:14.2224057Z ╞════╪═════════════════════════════╪═══════════════════════════════════╪═══════════════════════════════════════╡ 2025-03-21T20:32:14.2224431Z │ 0 │ aten__softmax_default │ 12 │ 0 │ 2025-03-21T20:32:14.2224795Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2225175Z │ 1 │ aten__to_copy_default │ 2 │ 0 │ 2025-03-21T20:32:14.2225577Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2225939Z │ 2 │ aten_add_tensor │ 60 │ 0 │ 2025-03-21T20:32:14.2226304Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2226630Z │ 3 │ aten_cat_default │ 48 │ 0 │ 2025-03-21T20:32:14.2227028Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2227396Z │ 4 │ aten_convolution_default │ 85 │ 0 │ 2025-03-21T20:32:14.2227771Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2228106Z │ 5 │ aten_copy_default │ 0 │ 24 │ 2025-03-21T20:32:14.2228503Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2228846Z │ 6 │ aten_embedding_default │ 1 │ 0 │ 2025-03-21T20:32:14.2229227Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2229575Z │ 7 │ aten_index_put_default │ 24 │ 0 │ 2025-03-21T20:32:14.2229951Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2230310Z │ 8 │ aten_index_tensor │ 14 │ 0 │ 2025-03-21T20:32:14.2230718Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2231081Z │ 9 │ aten_matmul_default │ 24 │ 0 │ 2025-03-21T20:32:14.2231446Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2231765Z │ 10 │ aten_mul_tensor │ 132 │ 0 │ 2025-03-21T20:32:14.2232132Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2232540Z │ 11 │ aten_permute_copy_default │ 494 │ 0 │ 2025-03-21T20:32:14.2233034Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2233396Z │ 12 │ aten_rms_norm_default │ 25 │ 0 │ 2025-03-21T20:32:14.2233760Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2234116Z │ 13 │ aten_select_copy_int │ 577 │ 0 │ 2025-03-21T20:32:14.2234482Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2234825Z │ 14 │ aten_sigmoid_default │ 12 │ 0 │ 2025-03-21T20:32:14.2235200Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2235536Z │ 15 │ aten_slice_copy_tensor │ 48 │ 0 │ 2025-03-21T20:32:14.2235926Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2236275Z │ 16 │ aten_squeeze_copy_dims │ 132 │ 0 │ 2025-03-21T20:32:14.2236709Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2237018Z │ 17 │ aten_sub_tensor │ 24 │ 0 │ 2025-03-21T20:32:14.2237390Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2237788Z │ 18 │ aten_unsqueeze_copy_default │ 132 │ 0 │ 2025-03-21T20:32:14.2238163Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2238536Z │ 19 │ aten_view_copy_default │ 146 │ 0 │ 2025-03-21T20:32:14.2238950Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:14.2239261Z │ 20 │ getitem │ 0 │ 25 │ 2025-03-21T20:32:25.6306171Z ├────┼─────────────────────────────┼───────────────────────────────────┼───────────────────────────────────────┤ 2025-03-21T20:32:25.6307045Z │ 21 │ Total │ 1992 │ 49 │ 2025-03-21T20:32:25.6307808Z ╘════╧═════════════════════════════╧═══════════════════════════════════╧═══════════════════════════════════════╛ 2025-03-21T20:32:25.6309557Z /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. 2025-03-21T20:32:25.6311228Z warnings.warn( 2025-03-21T20:32:25.6311726Z [INFO 2025-03-21 20:32:17,654 builder.py:507] Required memory for activation in bytes: [0, 19395584] 2025-03-21T20:32:25.6312307Z modelname: tinyllama_qnn_fp32 2025-03-21T20:32:25.6312665Z output_file: tinyllama_qnn_fp32.pte 2025-03-21T20:32:25.6313343Z [INFO 2025-03-21 20:32:17,761 utils.py:141] Saved exported program to tinyllama_qnn_fp32.pte 2025-03-21T20:32:25.6313886Z + echo 'Creating tokenizer.bin' 2025-03-21T20:32:25.6314230Z Creating tokenizer.bin 2025-03-21T20:32:25.6314747Z + python -m extension.llm.tokenizer.tokenizer -t tokenizer.model -o tokenizer.bin 2025-03-21T20:32:25.6315699Z + RUNTIME_ARGS='--model_path=tinyllama_qnn_fp32.pte --tokenizer_path=tokenizer.bin --prompt=Once --temperature=0 --seq_len=10 --warmup=1' 2025-03-21T20:32:25.6316746Z + echo 'Running tinyllama_qnn_fp32.pte in portable mode' 2025-03-21T20:32:25.6317292Z Running tinyllama_qnn_fp32.pte in portable mode 2025-03-21T20:32:25.6317696Z + [[ cmake == \b\u\c\k\2 ]] 2025-03-21T20:32:25.6318006Z + [[ cmake == \c\m\a\k\e ]] 2025-03-21T20:32:25.6318338Z + cmake_install_executorch_libraries 2025-03-21T20:32:25.6318928Z + echo 'Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a' 2025-03-21T20:32:25.6319645Z Installing libexecutorch.a, libextension_module.so, libportable_ops_lib.a 2025-03-21T20:32:25.6320160Z + rm -rf cmake-out 2025-03-21T20:32:25.6322522Z + 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 . 2025-03-21T20:32:25.6326859Z + 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 . 2025-03-21T20:32:25.6329211Z -- The C compiler identification is Clang 12.0.1 2025-03-21T20:32:25.6329652Z -- The CXX compiler identification is Clang 12.0.1 2025-03-21T20:32:25.6330068Z -- Detecting C compiler ABI info 2025-03-21T20:32:25.6330426Z -- Detecting C compiler ABI info - done 2025-03-21T20:32:25.6330876Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-03-21T20:32:25.6331312Z -- Detecting C compile features 2025-03-21T20:32:25.6331669Z -- Detecting C compile features - done 2025-03-21T20:32:25.6332044Z -- Detecting CXX compiler ABI info 2025-03-21T20:32:25.6332416Z -- Detecting CXX compiler ABI info - done 2025-03-21T20:32:25.6332881Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-03-21T20:32:25.6333327Z -- Detecting CXX compile features 2025-03-21T20:32:25.6333689Z -- Detecting CXX compile features - done 2025-03-21T20:32:25.6334537Z CMake Deprecation Warning at backends/xnnpack/third-party/FXdiv/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:32:25.6335365Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:32:25.6335848Z CMake. 2025-03-21T20:32:25.6335983Z 2025-03-21T20:32:25.6336239Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:32:25.6336877Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:32:25.6337435Z to work with policies introduced by or earlier. 2025-03-21T20:32:25.6337740Z 2025-03-21T20:32:25.6337861Z  2025-03-21T20:32:25.6338552Z CMake Deprecation Warning at backends/xnnpack/third-party/cpuinfo/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:32:25.6339389Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:32:25.6339855Z CMake. 2025-03-21T20:32:25.6340002Z 2025-03-21T20:32:25.6340257Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:32:25.6340889Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:32:25.6341448Z to work with policies introduced by or earlier. 2025-03-21T20:32:25.6341737Z 2025-03-21T20:32:25.6341869Z  2025-03-21T20:32:25.6342145Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-03-21T20:32:25.6342567Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-03-21T20:32:25.6343023Z -- Found Threads: TRUE 2025-03-21T20:32:25.6343798Z CMake Deprecation Warning at backends/xnnpack/third-party/pthreadpool/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED): 2025-03-21T20:32:25.6344695Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:32:25.6345182Z CMake. 2025-03-21T20:32:25.6345311Z 2025-03-21T20:32:25.6345600Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:32:25.6346232Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:32:25.6346782Z to work with policies introduced by or earlier. 2025-03-21T20:32:25.6347082Z 2025-03-21T20:32:25.6347198Z  2025-03-21T20:32:25.6347462Z -- Using python executable 'python' 2025-03-21T20:32:25.6347804Z -- Resolved buck2 as buck2. 2025-03-21T20:32:25.6348150Z -- Killing buck2 daemon 2025-03-21T20:32:25.6348440Z 'buck2 killall' 2025-03-21T20:32:25.6348734Z -- executorch: Generating source lists 2025-03-21T20:32:25.6349339Z -- executorch: Generating source file list /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-03-21T20:32:25.6350125Z -- executorch: Using sources file /pytorch/executorch/cmake-out/executorch_srcs.cmake 2025-03-21T20:32:25.6350686Z -- executorch: Using PAL default 'posix' 2025-03-21T20:32:25.6351063Z -- Generating operator lib: 2025-03-21T20:32:25.6351392Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:32:25.6352016Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:32:25.6352498Z -- ROOT_OPS: 2025-03-21T20:32:25.6352816Z -- INCLUDE_ALL_OPS: 2025-03-21T20:32:25.6354252Z 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" 2025-03-21T20:32:25.6355514Z -- Generating kernel bindings: 2025-03-21T20:32:25.6355851Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:32:25.6356316Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/portable/functions.yaml 2025-03-21T20:32:25.6356792Z -- CUSTOM_OPS_YAML: 2025-03-21T20:32:25.6357109Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-03-21T20:32:25.6359011Z 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 2025-03-21T20:32:25.6360675Z -- Generating operator lib: 2025-03-21T20:32:25.6361005Z -- LIB_NAME: portable_ops_lib 2025-03-21T20:32:25.6361345Z -- KERNEL_LIBS: portable_kernels 2025-03-21T20:32:25.6361669Z -- DEPS: executorch 2025-03-21T20:32:25.6362248Z 'python' '-c' 'import importlib.util; print(importlib.util.find_spec('torch').submodule_search_locations[0])' 2025-03-21T20:32:25.6362891Z -- Generating operator lib: 2025-03-21T20:32:25.6363220Z -- LIB_NAME: optimized_ops_lib 2025-03-21T20:32:25.6363697Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml 2025-03-21T20:32:25.6364168Z -- ROOT_OPS: 2025-03-21T20:32:25.6364443Z -- INCLUDE_ALL_OPS: 2025-03-21T20:32:25.6365845Z 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" 2025-03-21T20:32:25.6367372Z -- Generating kernel bindings: 2025-03-21T20:32:25.6367717Z -- LIB_NAME: optimized_ops_lib 2025-03-21T20:32:25.6368199Z -- FUNCTIONS_YAML: /pytorch/executorch/kernels/optimized/optimized.yaml 2025-03-21T20:32:25.6368686Z -- CUSTOM_OPS_YAML: 2025-03-21T20:32:25.6368996Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-03-21T20:32:25.6370939Z 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 2025-03-21T20:32:25.6372757Z -- Generating operator lib: 2025-03-21T20:32:25.6373152Z -- LIB_NAME: optimized_ops_lib 2025-03-21T20:32:25.6373504Z -- KERNEL_LIBS: optimized_kernels 2025-03-21T20:32:25.6373836Z -- DEPS: executorch 2025-03-21T20:32:25.6374141Z -- Merging kernel yaml files: 2025-03-21T20:32:25.6374761Z -- FUNCTIONS_YAML: /pytorch/executorch/configurations/../kernels/optimized/optimized.yaml 2025-03-21T20:32:25.6375574Z -- FALLBACK_YAML: /pytorch/executorch/configurations/../kernels/portable/functions.yaml 2025-03-21T20:32:25.6376237Z -- OUTPUT_DIR: /pytorch/executorch/cmake-out/configurations 2025-03-21T20:32:25.6376667Z -- Generating operator lib: 2025-03-21T20:32:25.6377022Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-03-21T20:32:25.6377599Z -- OPS_SCHEMA_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml 2025-03-21T20:32:25.6378104Z -- ROOT_OPS: 2025-03-21T20:32:25.6378372Z -- INCLUDE_ALL_OPS: 2025-03-21T20:32:25.6379834Z 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" 2025-03-21T20:32:28.4376209Z -- Generating kernel bindings: 2025-03-21T20:32:28.4377004Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-03-21T20:32:28.4378736Z -- FUNCTIONS_YAML: /pytorch/executorch/cmake-out/configurations/merged.yaml 2025-03-21T20:32:28.4379852Z -- CUSTOM_OPS_YAML: 2025-03-21T20:32:28.4380408Z -- ADD_EXCEPTION_BOUNDARY: TRUE 2025-03-21T20:32:28.4384696Z 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 2025-03-21T20:32:28.4388308Z -- Generating operator lib: 2025-03-21T20:32:28.4388955Z -- LIB_NAME: optimized_native_cpu_ops_lib 2025-03-21T20:32:28.4389805Z -- KERNEL_LIBS: optimized_kernels;optimized_portable_kernels 2025-03-21T20:32:28.4390631Z -- DEPS: executorch 2025-03-21T20:32:28.4391918Z CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required): 2025-03-21T20:32:28.4393519Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:32:28.4394455Z CMake. 2025-03-21T20:32:28.4394698Z 2025-03-21T20:32:28.4395144Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:32:28.4396346Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:32:28.4397376Z to work with policies introduced by or earlier. 2025-03-21T20:32:28.4397966Z 2025-03-21T20:32:28.4398216Z  2025-03-21T20:32:28.4398672Z -- Looking for C++ include unistd.h 2025-03-21T20:32:28.4399356Z -- Looking for C++ include unistd.h - found 2025-03-21T20:32:28.4400061Z -- Looking for C++ include stdint.h 2025-03-21T20:32:28.4400740Z -- Looking for C++ include stdint.h - found 2025-03-21T20:32:28.4401464Z -- Looking for C++ include inttypes.h 2025-03-21T20:32:28.4402165Z -- Looking for C++ include inttypes.h - found 2025-03-21T20:32:28.4402895Z -- Looking for C++ include sys/types.h 2025-03-21T20:32:28.4403595Z -- Looking for C++ include sys/types.h - found 2025-03-21T20:32:28.4404321Z -- Looking for C++ include sys/stat.h 2025-03-21T20:32:28.4405010Z -- Looking for C++ include sys/stat.h - found 2025-03-21T20:32:28.4405714Z -- Looking for C++ include fnmatch.h 2025-03-21T20:32:28.4406395Z -- Looking for C++ include fnmatch.h - found 2025-03-21T20:32:28.4407086Z -- Looking for C++ include stddef.h 2025-03-21T20:32:28.4407740Z -- Looking for C++ include stddef.h - found 2025-03-21T20:32:28.4408411Z -- Check size of uint32_t 2025-03-21T20:32:28.4408954Z -- Check size of uint32_t - done 2025-03-21T20:32:28.4409709Z -- Looking for strtoll 2025-03-21T20:32:28.4410221Z -- Looking for strtoll - found 2025-03-21T20:32:28.4410857Z -- Using qnn sdk root /tmp/qnn/2.28.0.241029 2025-03-21T20:32:28.4411747Z -- Using EXECUTORCH_SOURCE_DIR /pytorch/executorch 2025-03-21T20:32:28.4413265Z CMake Deprecation Warning at third-party/pybind11/CMakeLists.txt:13 (cmake_minimum_required): 2025-03-21T20:32:28.4414884Z Compatibility with CMake < 3.10 will be removed from a future version of 2025-03-21T20:32:28.4415768Z CMake. 2025-03-21T20:32:28.4416026Z 2025-03-21T20:32:28.4416513Z Update the VERSION argument value. Or, use the ... syntax 2025-03-21T20:32:28.4417713Z to tell CMake that the project requires at least but has been updated 2025-03-21T20:32:28.4418761Z to work with policies introduced by or earlier. 2025-03-21T20:32:28.4419304Z 2025-03-21T20:32:28.4419673Z  2025-03-21T20:32:28.4420093Z -- pybind11 v2.13.6 2025-03-21T20:32:28.4421041Z -- Found PythonInterp: python (found suitable version "3.10.16", minimum required is "3.7") 2025-03-21T20:32:28.4422161Z -- Found PythonLibs: /opt/conda/envs/py_3.10/lib/libpython3.10.so 2025-03-21T20:32:28.4422930Z -- Performing Test HAS_FLTO_THIN 2025-03-21T20:32:28.4423565Z -- Performing Test HAS_FLTO_THIN - Success 2025-03-21T20:32:28.4424274Z -- Generating operator lib: 2025-03-21T20:32:28.4424847Z -- LIB_NAME: quantized_ops_lib 2025-03-21T20:32:28.4425569Z -- OPS_SCHEMA_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-03-21T20:32:28.4426334Z -- ROOT_OPS: 2025-03-21T20:32:28.4426755Z -- INCLUDE_ALL_OPS: 2025-03-21T20:32:28.4429193Z 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" 2025-03-21T20:32:28.4431375Z -- Generating kernel bindings: 2025-03-21T20:32:28.4431920Z -- LIB_NAME: quantized_ops_lib 2025-03-21T20:32:28.4432446Z -- FUNCTIONS_YAML: 2025-03-21T20:32:28.4433292Z -- CUSTOM_OPS_YAML: /pytorch/executorch/kernels/quantized/quantized.yaml 2025-03-21T20:32:28.4434126Z -- ADD_EXCEPTION_BOUNDARY: FALSE 2025-03-21T20:32:28.4440652Z 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 2025-03-21T20:32:28.4447540Z -- Generating operator lib: 2025-03-21T20:32:28.4448145Z -- LIB_NAME: quantized_ops_lib 2025-03-21T20:32:28.4448788Z -- KERNEL_LIBS: quantized_kernels 2025-03-21T20:32:28.4449418Z -- DEPS: executorch 2025-03-21T20:32:28.4449922Z -- 2025-03-21T20:32:28.4450346Z -- ******** Summary ******** 2025-03-21T20:32:28.4450853Z -- CMAKE_BUILD_TYPE : Release 2025-03-21T20:32:28.4451427Z -- CMAKE_CXX_STANDARD : 17 2025-03-21T20:32:28.4452045Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-03-21T20:32:28.4452613Z -- CMAKE_TOOLCHAIN_FILE : 2025-03-21T20:32:28.4453195Z -- BUCK2 : buck2 2025-03-21T20:32:28.4453737Z -- PYTHON_EXECUTABLE : python 2025-03-21T20:32:28.4454685Z -- FLATC_EXECUTABLE : /pytorch/executorch/cmake-out/third-party/flatbuffers/flatc 2025-03-21T20:32:28.4455790Z -- EXECUTORCH_ENABLE_LOGGING : OFF 2025-03-21T20:32:28.4456588Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF 2025-03-21T20:32:28.4457379Z -- EXECUTORCH_LOG_LEVEL : Info 2025-03-21T20:32:28.4458160Z -- EXECUTORCH_BUILD_ANDROID_JNI : OFF 2025-03-21T20:32:28.4458921Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : OFF 2025-03-21T20:32:28.4459838Z -- EXECUTORCH_BUILD_CADENCE : OFF 2025-03-21T20:32:28.4460595Z -- EXECUTORCH_BUILD_COREML : OFF 2025-03-21T20:32:28.4461404Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-03-21T20:32:28.4462163Z -- EXECUTORCH_BUILD_DEVTOOLS : OFF 2025-03-21T20:32:28.4462947Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : ON 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Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/tensor_ptr.h 2025-03-21T20:32:52.3727730Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/tensor_ptr_maker.h 2025-03-21T20:32:54.2238590Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/tensor/test 2025-03-21T20:32:54.2240397Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool 2025-03-21T20:32:54.2242024Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/cpuinfo_utils.h 2025-03-21T20:32:54.2243591Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/test 2025-03-21T20:32:54.2245641Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/threadpool.h 2025-03-21T20:32:54.2247494Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/extension/threadpool/threadpool_guard.h 2025-03-21T20:32:54.2248872Z -- Installing: /pytorch/executorch/cmake-out/lib/libexecutorch.a 2025-03-21T20:32:54.2249854Z -- Installing: /pytorch/executorch/cmake-out/lib/libexecutorch_core.a 2025-03-21T20:32:54.2251238Z -- Installing: /pytorch/executorch/cmake-out/lib/cmake/ExecuTorch/executorch-config.cmake 2025-03-21T20:32:54.2252535Z -- Installing: /pytorch/executorch/cmake-out/lib/libqnn_executorch_backend.so 2025-03-21T20:32:54.2253701Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_data_loader.a 2025-03-21T20:32:54.2254897Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_flat_tensor.a 2025-03-21T20:32:54.2256371Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_module.so 2025-03-21T20:32:54.2257601Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_module_static.a 2025-03-21T20:32:54.2258798Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_tensor.a 2025-03-21T20:32:54.2259886Z -- Installing: /pytorch/executorch/cmake-out/lib/libextension_threadpool.a 2025-03-21T20:32:54.2261009Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_kernels.a 2025-03-21T20:32:54.2262153Z -- Installing: /pytorch/executorch/cmake-out/lib/libquantized_ops_lib.a 2025-03-21T20:32:54.2263499Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/Functions.h 2025-03-21T20:32:54.2265045Z -- Installing: /pytorch/executorch/cmake-out/include/executorch/kernels/quantized/NativeFunctions.h 2025-03-21T20:32:54.2266241Z + cmake_build_llama_runner 2025-03-21T20:32:54.2267216Z + echo 'Building llama runner' 2025-03-21T20:32:54.2267744Z Building llama runner 2025-03-21T20:32:54.2268271Z + pushd extension/llm/tokenizers 2025-03-21T20:32:54.2269082Z /pytorch/executorch/extension/llm/tokenizers /pytorch/executorch 2025-03-21T20:32:54.2269995Z + echo 'Updating tokenizers submodule' 2025-03-21T20:32:54.2270631Z Updating tokenizers submodule 2025-03-21T20:32:54.2271205Z + git submodule update --init 2025-03-21T20:32:54.2271738Z + popd 2025-03-21T20:32:54.2272139Z /pytorch/executorch 2025-03-21T20:32:54.2272632Z + dir=examples/models/llama 2025-03-21T20:32:54.2275151Z + 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 2025-03-21T20:32:54.2279431Z + 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 2025-03-21T20:32:54.2281842Z -- The C compiler identification is Clang 12.0.1 2025-03-21T20:32:54.2282606Z -- The CXX compiler identification is Clang 12.0.1 2025-03-21T20:32:54.2283239Z -- Detecting C compiler ABI info 2025-03-21T20:32:54.2283787Z -- Detecting C compiler ABI info - done 2025-03-21T20:32:54.2284529Z -- Check for working C compiler: /opt/cache/bin/cc - skipped 2025-03-21T20:32:54.2285269Z -- Detecting C compile features 2025-03-21T20:32:54.2285887Z -- Detecting C compile features - done 2025-03-21T20:32:54.2286542Z -- Detecting CXX compiler ABI info 2025-03-21T20:32:54.2287173Z -- Detecting CXX compiler ABI info - done 2025-03-21T20:32:54.2288010Z -- Check for working CXX compiler: /opt/cache/bin/c++ - skipped 2025-03-21T20:32:54.2288983Z -- Detecting CXX compile features 2025-03-21T20:32:54.2289627Z -- Detecting CXX compile features - done 2025-03-21T20:32:54.2290897Z CMake Warning (dev) at CMakeLists.txt:82 (find_package): 2025-03-21T20:32:54.2291941Z Policy CMP0144 is not set: find_package uses upper-case _ROOT 2025-03-21T20:32:54.2293211Z variables. Run "cmake --help-policy CMP0144" for policy details. Use the 2025-03-21T20:32:54.2294333Z cmake_policy command to set the policy and suppress this warning. 2025-03-21T20:32:54.2295006Z 2025-03-21T20:32:54.2295247Z CMake variable EXECUTORCH_ROOT is set to: 2025-03-21T20:32:54.2295691Z 2025-03-21T20:32:54.2295965Z /pytorch/executorch/examples/models/llama/../../.. 2025-03-21T20:32:54.2296489Z 2025-03-21T20:32:54.2296875Z Environment variable EXECUTORCH_ROOT is set to: 2025-03-21T20:32:54.2297398Z 2025-03-21T20:32:54.2297617Z /pytorch/executorch/.ci 2025-03-21T20:32:54.2297972Z 2025-03-21T20:32:54.2298464Z For compatibility, find_package is ignoring the variable, but code in a 2025-03-21T20:32:54.2299360Z .cmake module might still use it. 2025-03-21T20:32:54.2300111Z This warning is for project developers. Use -Wno-dev to suppress it. 2025-03-21T20:32:54.2300988Z  2025-03-21T20:32:54.2301461Z etdump library is not found. 2025-03-21T20:32:54.2302293Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2303238Z bundled_program library is not found. 2025-03-21T20:32:54.2304190Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2305020Z flatccrt library is not found. 2025-03-21T20:32:54.2305893Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2307049Z coremldelegate library is not found. 2025-03-21T20:32:54.2308094Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2309052Z mpsdelegate library is not found. 2025-03-21T20:32:54.2309995Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2310977Z neuron_backend library is not found. 2025-03-21T20:32:54.2311983Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2313024Z custom_ops library is not found. 2025-03-21T20:32:54.2313996Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2314980Z extension_runner_util library is not found. 2025-03-21T20:32:54.2315944Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2316944Z extension_training library is not found. 2025-03-21T20:32:54.2317919Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2318870Z xnnpack_backend library is not found. 2025-03-21T20:32:54.2319823Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2320684Z XNNPACK library is not found. 2025-03-21T20:32:54.2321538Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2322468Z microkernels-prod library is not found. 2025-03-21T20:32:54.2323401Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2324278Z kleidiai library is not found. 2025-03-21T20:32:54.2325134Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2325978Z vulkan_backend library is not found. 2025-03-21T20:32:54.2326944Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2327879Z quantized_ops_aot_lib library is not found. 2025-03-21T20:32:54.2328814Z If needed rebuild with the proper options in CMakeLists.txt 2025-03-21T20:32:54.2330338Z -- executorch: Using source file list /pytorch/executorch/cmake-out/examples/models/llama/runner/../../../../executorch_srcs.cmake 2025-03-21T20:32:54.2331697Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 2025-03-21T20:32:54.2332437Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX17 - Success 2025-03-21T20:32:54.2333287Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 2025-03-21T20:32:54.2334139Z -- Performing Test ABSL_INTERNAL_AT_LEAST_CXX20 - Failed 2025-03-21T20:32:54.2334871Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD 2025-03-21T20:32:54.2335621Z -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success 2025-03-21T20:32:54.2336286Z -- Found Threads: TRUE 2025-03-21T20:32:54.2336659Z -- 2025-03-21T20:32:54.2337005Z -- ******** Summary ******** 2025-03-21T20:32:54.2337495Z -- CMAKE_BUILD_TYPE : Release 2025-03-21T20:32:54.2338096Z -- CMAKE_CXX_STANDARD : 17 2025-03-21T20:32:54.2338733Z -- CMAKE_CXX_COMPILER_ID : Clang 2025-03-21T20:32:54.2339406Z -- CMAKE_TOOLCHAIN_FILE : 2025-03-21T20:32:54.2339933Z -- BUCK2 : 2025-03-21T20:32:54.2340484Z -- PYTHON_EXECUTABLE : python 2025-03-21T20:32:54.2341039Z -- FLATC_EXECUTABLE : 2025-03-21T20:32:54.2341594Z -- EXECUTORCH_ENABLE_LOGGING : 2025-03-21T20:32:54.2342226Z -- EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : 2025-03-21T20:32:54.2342817Z -- EXECUTORCH_LOG_LEVEL : 2025-03-21T20:32:54.2343338Z -- EXECUTORCH_BUILD_ANDROID_JNI : 2025-03-21T20:32:54.2343901Z -- EXECUTORCH_BUILD_ARM_BAREMETAL : 2025-03-21T20:32:54.2344415Z -- EXECUTORCH_BUILD_CADENCE : 2025-03-21T20:32:54.2344936Z -- EXECUTORCH_BUILD_COREML : 2025-03-21T20:32:54.2345444Z -- EXECUTORCH_BUILD_CPUINFO : ON 2025-03-21T20:32:54.2345974Z -- EXECUTORCH_BUILD_DEVTOOLS : 2025-03-21T20:32:54.2346471Z -- EXECUTORCH_BUILD_EXECUTOR_RUNNER : 2025-03-21T20:32:54.2346999Z -- EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : 2025-03-21T20:32:54.2347531Z -- EXECUTORCH_BUILD_EXTENSION_FLAT_TENSOR : 2025-03-21T20:32:54.2348054Z -- EXECUTORCH_BUILD_EXTENSION_LLM : 2025-03-21T20:32:54.2348553Z -- EXECUTORCH_BUILD_EXTENSION_MODULE : 2025-03-21T20:32:54.2349063Z -- EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : 2025-03-21T20:32:54.2349632Z -- EXECUTORCH_BUILD_EXTENSION_TENSOR : 2025-03-21T20:32:54.2350201Z -- EXECUTORCH_BUILD_EXTENSION_TRAINING : 2025-03-21T20:32:54.2350722Z -- EXECUTORCH_BUILD_FLATC : 2025-03-21T20:32:54.2351249Z -- EXECUTORCH_BUILD_GFLAGS : 2025-03-21T20:32:54.2351742Z -- EXECUTORCH_BUILD_HOST_TARGETS : 2025-03-21T20:32:54.2352286Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM : OFF 2025-03-21T20:32:54.2352952Z -- EXECUTORCH_BUILD_KERNELS_CUSTOM_AOT : 2025-03-21T20:32:54.2353488Z -- EXECUTORCH_BUILD_KERNELS_OPTIMIZED : ON 2025-03-21T20:32:54.2354030Z -- EXECUTORCH_BUILD_KERNELS_QUANTIZED : 2025-03-21T20:32:54.2354531Z -- EXECUTORCH_BUILD_MPS : 2025-03-21T20:32:54.2355076Z -- EXECUTORCH_BUILD_NEURON : 2025-03-21T20:32:54.2355598Z -- EXECUTORCH_BUILD_PTHREADPOOL : ON 2025-03-21T20:32:54.2356121Z -- EXECUTORCH_BUILD_PYBIND : 2025-03-21T20:32:54.2356628Z -- EXECUTORCH_BUILD_QNN : 2025-03-21T20:32:54.2357125Z -- EXECUTORCH_BUILD_SIZE_TEST : 2025-03-21T20:32:54.2357663Z -- EXECUTORCH_BUILD_TESTS : 2025-03-21T20:32:54.2358204Z -- EXECUTORCH_BUILD_VULKAN : 2025-03-21T20:32:54.2358760Z -- EXECUTORCH_BUILD_XNNPACK : OFF 2025-03-21T20:32:54.2359265Z -- Configuring done (1.3s) 2025-03-21T20:32:54.2359653Z -- Generating done (0.3s) 2025-03-21T20:32:54.2360313Z -- Build files have been written to: /pytorch/executorch/cmake-out/examples/models/llama 2025-03-21T20:32:54.2361207Z + cmake --build 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runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/llm/tokenizers/src/tiktoken.cpp.o 2025-03-21T20:33:01.0049786Z [ 99%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr.cpp.o 2025-03-21T20:33:01.0051029Z [100%] Building CXX object runner/CMakeFiles/llama_runner.dir/pytorch/executorch/extension/tensor/tensor_ptr_maker.cpp.o 2025-03-21T20:33:01.0051956Z [100%] Linking CXX shared library libllama_runner.so 2025-03-21T20:33:01.0052411Z [100%] Built target llama_runner 2025-03-21T20:33:01.0052955Z [100%] Building CXX object CMakeFiles/llama_main.dir/main.cpp.o 2025-03-21T20:33:01.0053546Z [100%] Linking CXX executable llama_main 2025-03-21T20:33:01.0053956Z [100%] Built target llama_main 2025-03-21T20:45:48.4315777Z ++ date +%H:%M:%S 2025-03-21T20:45:48.4316119Z + NOW=20:33:01 2025-03-21T20:45:48.4316434Z + echo 'Starting to run llama runner at 20:33:01' 2025-03-21T20:45:48.4316982Z Starting to run llama runner at 20:33:01 2025-03-21T20:45:48.4318608Z + 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 2025-03-21T20:45:48.4320530Z [INFO] [Qnn ExecuTorch]: Deserializing processed data using QnnContextCustomProtocol 2025-03-21T20:45:48.4321571Z [INFO] [Qnn ExecuTorch]: create QNN Logger with log_level 2 2025-03-21T20:45:48.4322299Z [WARNING] [Qnn ExecuTorch]: QnnDsp Initializing HtpProvider 2025-03-21T20:45:48.4322891Z 2025-03-21T20:45:48.4323272Z [INFO] [Qnn ExecuTorch]: Initialize Qnn backend parameters for Qnn executorch backend type 2 2025-03-21T20:45:48.4323931Z [INFO] [Qnn ExecuTorch]: Caching: Caching is in RESTORE MODE. 2025-03-21T20:45:48.4324646Z [INFO] [Qnn ExecuTorch]: QnnContextCustomProtocol expected magic number: 0x5678abcd but get: 0x2000000 2025-03-21T20:45:48.4325420Z [WARNING] [Qnn ExecuTorch]: QnnDsp Performance Estimates unsupported 2025-03-21T20:45:48.4325791Z 2025-03-21T20:45:48.4326297Z [WARNING] [Qnn ExecuTorch]: QnnDsp Arch 68 set by custom config is different from arch associated with SoC 57, will overwrite it to 75 2025-03-21T20:45:48.4326909Z 2025-03-21T20:45:48.4327095Z [INFO] [Qnn ExecuTorch]: Running level=3 optimization. 2025-03-21T20:45:48.4327870Z invalid char[INFO] [Qnn ExecuTorch]: Destroy Qnn backend parameters 2025-03-21T20:45:48.4328465Z [INFO] [Qnn ExecuTorch]: Destroy Qnn context 2025-03-21T20:45:48.4328872Z [INFO] [Qnn ExecuTorch]: Destroy Qnn device 2025-03-21T20:45:48.4329277Z [INFO] [Qnn ExecuTorch]: Destroy Qnn backend 2025-03-21T20:45:48.4329641Z ++ date +%H:%M:%S 2025-03-21T20:45:48.4329973Z + NOW=20:45:48 2025-03-21T20:45:48.4330236Z + echo 'Finished at 20:45:48' 2025-03-21T20:45:48.4330559Z Finished at 20:45:48 2025-03-21T20:45:48.4330840Z ++ cat result.txt 2025-03-21T20:45:48.4331168Z + RESULT='Once upon a time, there was a little girl 2025-03-21T20:45:48.4332799Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742589181003,"model_load_end_ms":1742589181393,"inference_start_ms":1742589498588,"inference_end_ms":1742589948347,"prompt_eval_end_ms":1742589559817,"first_token_ms":1742589559817,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000}' 2025-03-21T20:45:48.4334360Z + EXPECTED_PREFIX='Once upon a time,' 2025-03-21T20:45:48.4334747Z + [[ Once upon a time, there was a little girl 2025-03-21T20:45:48.4336458Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742589181003,"model_load_end_ms":1742589181393,"inference_start_ms":1742589498588,"inference_end_ms":1742589948347,"prompt_eval_end_ms":1742589559817,"first_token_ms":1742589559817,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000} == \O\n\c\e\ \u\p\o\n\ \a\ \t\i\m\e\,* ]] 2025-03-21T20:45:48.4338149Z + echo 'Expected result prefix: Once upon a time,' 2025-03-21T20:45:48.4338573Z Expected result prefix: Once upon a time, 2025-03-21T20:45:48.4339041Z + echo 'Actual result: Once upon a time, there was a little girl 2025-03-21T20:45:48.4340753Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742589181003,"model_load_end_ms":1742589181393,"inference_start_ms":1742589498588,"inference_end_ms":1742589948347,"prompt_eval_end_ms":1742589559817,"first_token_ms":1742589559817,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000}' 2025-03-21T20:45:48.4342336Z Actual result: Once upon a time, there was a little girl 2025-03-21T20:45:48.4343916Z PyTorchObserver {"prompt_tokens":1,"generated_tokens":8,"model_load_start_ms":1742589181003,"model_load_end_ms":1742589181393,"inference_start_ms":1742589498588,"inference_end_ms":1742589948347,"prompt_eval_end_ms":1742589559817,"first_token_ms":1742589559817,"aggregate_sampling_time_ms":0,"SCALING_FACTOR_UNITS_PER_SECOND":1000} 2025-03-21T20:45:48.4345414Z + echo Success 2025-03-21T20:45:48.4345702Z Success 2025-03-21T20:45:48.4345950Z + prepare_artifacts_upload 2025-03-21T20:45:48.4346269Z + '[' -n '' ']' 2025-03-21T20:45:48.4346536Z + cleanup_files 2025-03-21T20:45:48.4346859Z + echo 'Deleting downloaded and generated files' 2025-03-21T20:45:48.4347265Z Deleting downloaded and generated files 2025-03-21T20:45:48.4347633Z + rm stories110M.pt 2025-03-21T20:45:48.4347913Z + rm tokenizer.model 2025-03-21T20:45:48.4348197Z + rm tokenizer.bin 2025-03-21T20:45:48.4348487Z + rm tinyllama_qnn_fp32.pte 2025-03-21T20:45:48.4348780Z + rm result.txt 2025-03-21T20:45:48.4349044Z + rm params.json 2025-03-21T20:45:48.4432563Z ##[group]Run pmeier/pytest-results-action@v0.3.0 2025-03-21T20:45:48.4433166Z with: 2025-03-21T20:45:48.4433523Z path: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:48.4433979Z fail-on-empty: false 2025-03-21T20:45:48.4434259Z env: 2025-03-21T20:45:48.4434538Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:48.4434944Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:48.4435270Z PR_NUMBER: 2025-03-21T20:45:48.4438737Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:45:48.4442536Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:48.4443201Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:48.4443825Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:48.4444268Z ##[endgroup] 2025-03-21T20:45:48.5057976Z Prepare all required actions 2025-03-21T20:45:48.5096201Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-03-21T20:45:48.5096642Z with: 2025-03-21T20:45:48.5097039Z directory: /home/ec2-user/actions-runner/_work/executorch/executorch/ 2025-03-21T20:45:48.5097683Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-03-21T20:45:48.5098155Z env: 2025-03-21T20:45:48.5098432Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:48.5098839Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:48.5099169Z PR_NUMBER: 2025-03-21T20:45:48.5102622Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:45:48.5106275Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:48.5106941Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:48.5107560Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:48.5107990Z ##[endgroup] 2025-03-21T20:45:48.5128521Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-03-21T20:45:48.5129318Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-03-21T20:45:48.5138456Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:45:48.5138892Z env: 2025-03-21T20:45:48.5139178Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:48.5139583Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:48.5139915Z PR_NUMBER: 2025-03-21T20:45:48.5143348Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:45:48.5147069Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:48.5147733Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:48.5148416Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:48.5149002Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-03-21T20:45:48.5149625Z DIRECTORY: /home/ec2-user/actions-runner/_work/executorch/executorch/ 2025-03-21T20:45:48.5150109Z ##[endgroup] 2025-03-21T20:45:48.5384804Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally 2025-03-21T20:45:48.7745163Z latest: Pulling from tool/alpine 2025-03-21T20:45:48.7755266Z 540db60ca938: Pulling fs layer 2025-03-21T20:45:49.0084206Z 540db60ca938: Verifying Checksum 2025-03-21T20:45:49.0084934Z 540db60ca938: Download complete 2025-03-21T20:45:49.0963488Z 540db60ca938: Pull complete 2025-03-21T20:45:49.1113182Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748 2025-03-21T20:45:49.1160360Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest 2025-03-21T20:45:51.1100293Z Prepare all required actions 2025-03-21T20:45:51.1128649Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-03-21T20:45:51.1129080Z with: 2025-03-21T20:45:51.1129426Z directory: /home/ec2-user/actions-runner/_work/_temp 2025-03-21T20:45:51.1129987Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-03-21T20:45:51.1130467Z env: 2025-03-21T20:45:51.1130760Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:51.1131155Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:51.1131486Z PR_NUMBER: 2025-03-21T20:45:51.1134958Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:45:51.1138611Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:51.1139283Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:51.1139925Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:51.1140359Z ##[endgroup] 2025-03-21T20:45:51.1163793Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-03-21T20:45:51.1164604Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-03-21T20:45:51.1172054Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:45:51.1172492Z env: 2025-03-21T20:45:51.1172794Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:51.1173209Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:51.1173545Z PR_NUMBER: 2025-03-21T20:45:51.1176983Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:45:51.1180832Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:51.1181501Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:51.1182120Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:51.1182713Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-03-21T20:45:51.1183263Z DIRECTORY: /home/ec2-user/actions-runner/_work/_temp 2025-03-21T20:45:51.1183672Z ##[endgroup] 2025-03-21T20:45:51.9203001Z ##[group]Run # Only do these steps if we actually want to upload an artifact 2025-03-21T20:45:51.9203706Z # Only do these steps if we actually want to upload an artifact 2025-03-21T20:45:51.9204239Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then 2025-03-21T20:45:51.9204848Z  # If the default execution path is followed then we should get a wheel in the dist/ folder 2025-03-21T20:45:51.9205544Z  # attempt to just grab whatever is in there and scoop it all up 2025-03-21T20:45:51.9206101Z  if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then 2025-03-21T20:45:51.9206590Z  mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/" 2025-03-21T20:45:51.9206980Z  fi 2025-03-21T20:45:51.9207300Z  if [[ -d "artifacts-to-be-uploaded" ]]; then 2025-03-21T20:45:51.9207800Z  mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/" 2025-03-21T20:45:51.9208276Z  fi 2025-03-21T20:45:51.9208579Z fi 2025-03-21T20:45:51.9208825Z  2025-03-21T20:45:51.9209064Z upload_docs=0 2025-03-21T20:45:51.9209521Z # Check if there are files in the documentation folder to upload, note that 2025-03-21T20:45:51.9210048Z # empty folders do not count 2025-03-21T20:45:51.9210568Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then 2025-03-21T20:45:51.9211245Z  # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this 2025-03-21T20:45:51.9211808Z  # upload will probably not work correctly 2025-03-21T20:45:51.9212191Z  upload_docs=1 2025-03-21T20:45:51.9212516Z fi 2025-03-21T20:45:51.9212874Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}" 2025-03-21T20:45:51.9218995Z shell: /usr/bin/bash -e {0} 2025-03-21T20:45:51.9219323Z env: 2025-03-21T20:45:51.9219627Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:51.9237904Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:51.9238353Z PR_NUMBER: 2025-03-21T20:45:51.9241800Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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 "${PT2E_QUANTIZE}" 2025-03-21T20:45:51.9245503Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:51.9246177Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:51.9246789Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:51.9247393Z UPLOAD_ARTIFACT_NAME: 2025-03-21T20:45:51.9247700Z ##[endgroup] 2025-03-21T20:45:51.9355343Z Prepare all required actions 2025-03-21T20:45:51.9391656Z ##[group]Run ./test-infra/.github/actions/teardown-linux 2025-03-21T20:45:51.9392065Z with: 2025-03-21T20:45:51.9392297Z env: 2025-03-21T20:45:51.9392579Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:51.9393108Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:51.9393423Z PR_NUMBER: 2025-03-21T20:45:51.9396887Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:45:51.9400523Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:51.9401177Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:51.9401785Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:51.9402221Z ##[endgroup] 2025-03-21T20:45:51.9425107Z ##[group]Run set -eou pipefail 2025-03-21T20:45:51.9425492Z set -eou pipefail 2025-03-21T20:45:51.9425810Z  2025-03-21T20:45:51.9426232Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-03-21T20:45:51.9426779Z for _ in $(seq 1440); do 2025-03-21T20:45:51.9427165Z  # Break if no ssh session exists anymore 2025-03-21T20:45:51.9427566Z  if [ "$(who)" = "" ]; then 2025-03-21T20:45:51.9427921Z  break 2025-03-21T20:45:51.9428197Z  fi 2025-03-21T20:45:51.9428463Z  echo "." 2025-03-21T20:45:51.9428752Z  sleep 5 2025-03-21T20:45:51.9429019Z done 2025-03-21T20:45:51.9434652Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:45:51.9435088Z env: 2025-03-21T20:45:51.9435385Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:51.9435794Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:51.9436110Z PR_NUMBER: 2025-03-21T20:45:51.9439567Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./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}" 2025-03-21T20:45:51.9443211Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:45:51.9443876Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:45:51.9444501Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:45:51.9444933Z ##[endgroup] 2025-03-21T20:45:51.9468308Z Holding runner for 2 hours until all ssh sessions have logged out 2025-03-21T20:45:51.9537005Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-03-21T20:45:51.9537795Z # ignore expansion of "docker ps -q" since it could be empty 2025-03-21T20:45:51.9538372Z # shellcheck disable=SC2046 2025-03-21T20:45:51.9538743Z docker stop $(docker ps -q) || true 2025-03-21T20:45:51.9539141Z # Prune all of the docker images 2025-03-21T20:45:51.9539519Z docker system prune -af 2025-03-21T20:45:51.9544764Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:45:51.9545230Z env: 2025-03-21T20:45:51.9545527Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:45:51.9545924Z REPOSITORY: pytorch/executorch 2025-03-21T20:45:51.9546256Z PR_NUMBER: 2025-03-21T20:45:51.9549678Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 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sha256:270a1170e7e398434ff1b31e17e233f7d7b71aa99a40473615860068e86720af 2025-03-21T20:46:06.4662710Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest 2025-03-21T20:46:06.4663673Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748 2025-03-21T20:46:06.4664668Z deleted: sha256:6dbb9cc54074106d46d4ccb330f2a40a682d49dda5f4844962b7dce9fe44aaec 2025-03-21T20:46:06.4665401Z deleted: sha256:b2d5eeeaba3a22b9b8aa97261957974a6bd65274ebd43e1d81d0a7b8b752b116 2025-03-21T20:46:06.4665835Z 2025-03-21T20:46:06.4684680Z Total reclaimed space: 18.35GB 2025-03-21T20:46:06.4747637Z ##[group]Run set +e 2025-03-21T20:46:06.4748198Z set +e 2025-03-21T20:46:06.4748667Z if [[ "${NO_SUDO}" == "false" ]]; then 2025-03-21T20:46:06.4749458Z  sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}" 2025-03-21T20:46:06.4750084Z else 2025-03-21T20:46:06.4750546Z  rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}" 2025-03-21T20:46:06.4751140Z fi 2025-03-21T20:46:06.4751526Z set -e 2025-03-21T20:46:06.4761418Z shell: /usr/bin/bash -e {0} 2025-03-21T20:46:06.4761906Z env: 2025-03-21T20:46:06.4762348Z DOCKER_IMAGE: executorch-ubuntu-22.04-qnn-sdk 2025-03-21T20:46:06.4762989Z REPOSITORY: pytorch/executorch 2025-03-21T20:46:06.4763512Z PR_NUMBER: 2025-03-21T20:46:06.4770046Z SCRIPT: # The generic Linux job chooses to use base env, not the one setup by the image CONDA_ENV=$(conda env list --json | jq -r ".envs | .[-1]") conda activate "${CONDA_ENV}" BUILD_TOOL="cmake" DTYPE=fp32 MODE=qnn PT2E_QUANTIZE=qnn_16a16w ./install_requirements.sh --use-pt-pinned-commit PYTHON_EXECUTABLE=python bash .ci/scripts/setup-qnn-deps.sh PYTHON_EXECUTABLE=python bash .ci/scripts/build-qnn-sdk.sh # Setup executorch PYTHON_EXECUTABLE=python bash .ci/scripts/setup-linux.sh --build-tool "${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}" 2025-03-21T20:46:06.4777351Z RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts 2025-03-21T20:46:06.4778583Z RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results 2025-03-21T20:46:06.4779673Z RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs 2025-03-21T20:46:06.4780476Z NO_SUDO: false 2025-03-21T20:46:06.4780910Z ##[endgroup] 2025-03-21T20:46:07.7567128Z Post job cleanup. 2025-03-21T20:46:07.8648741Z Post job cleanup. 2025-03-21T20:46:07.9643039Z [command]/usr/bin/git version 2025-03-21T20:46:07.9713269Z git version 2.47.1 2025-03-21T20:46:07.9749605Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/ce6303ad-60a0-4e67-89f3-be12f9b9a9c5/.gitconfig' 2025-03-21T20:46:07.9758525Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/ce6303ad-60a0-4e67-89f3-be12f9b9a9c5' before making global git config changes 2025-03-21T20:46:07.9759591Z Adding repository directory to the temporary git global config as a safe directory 2025-03-21T20:46:07.9763939Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/executorch/executorch/test-infra 2025-03-21T20:46:07.9799937Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-03-21T20:46:07.9838402Z [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' || :" 2025-03-21T20:46:08.0127108Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-03-21T20:46:08.0145092Z http.https://github.com/.extraheader 2025-03-21T20:46:08.0155136Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-03-21T20:46:08.0181539Z [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' || :" 2025-03-21T20:46:08.0516087Z A job completed hook has been configured by the self-hosted runner administrator 2025-03-21T20:46:08.0543689Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-03-21T20:46:08.0549181Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-03-21T20:46:08.0549644Z ##[endgroup] 2025-03-21T20:46:16.4955009Z Cleaning up orphan processes