2024-05-15T23:31:47.1279349Z Current runner version: '2.316.1'
2024-05-15T23:31:47.1284419Z Runner name: 'i-0d9102d0cc85bf30c'
2024-05-15T23:31:47.1284921Z Runner group name: 'Default'
2024-05-15T23:31:47.1285544Z Machine name: 'ip-10-0-0-64'
2024-05-15T23:31:47.1287493Z ##[group]GITHUB_TOKEN Permissions
2024-05-15T23:31:47.1288861Z Contents: read
2024-05-15T23:31:47.1289170Z Metadata: read
2024-05-15T23:31:47.1289457Z Packages: read
2024-05-15T23:31:47.1289753Z ##[endgroup]
2024-05-15T23:31:47.1292503Z Secret source: Actions
2024-05-15T23:31:47.1292941Z Prepare workflow directory
2024-05-15T23:31:47.2554834Z Prepare all required actions
2024-05-15T23:31:47.2728659Z Getting action download info
2024-05-15T23:31:47.4104384Z Download action repository 'actions/checkout@v3' (SHA:f43a0e5ff2bd294095638e18286ca9a3d1956744)
2024-05-15T23:31:47.6255614Z Download action repository 'actions/download-artifact@v3' (SHA:9bc31d5ccc31df68ecc42ccf4149144866c47d8a)
2024-05-15T23:31:47.7695809Z Download action repository 'pmeier/pytest-results-action@v0.3.0' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2024-05-15T23:31:47.8683308Z Download action repository 'actions/upload-artifact@v3' (SHA:a8a3f3ad30e3422c9c7b888a15615d19a852ae32)
2024-05-15T23:31:48.0051804Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2024-05-15T23:31:48.2703864Z Uses: pytorch/test-infra/.github/workflows/linux_job.yml@refs/heads/main (2698cb3ae580a5b2e6f3488e44cf57d8178edb04)
2024-05-15T23:31:48.2705996Z ##[group] Inputs
2024-05-15T23:31:48.2708176Z   script: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:48.2710754Z   timeout: 60
2024-05-15T23:31:48.2711179Z   runner: linux.g5.4xlarge.nvidia.gpu
2024-05-15T23:31:48.2711695Z   upload-artifact: 
2024-05-15T23:31:48.2712122Z   download-artifact: 
2024-05-15T23:31:48.2712515Z   repository: 
2024-05-15T23:31:48.2712898Z   fetch-depth: 1
2024-05-15T23:31:48.2713279Z   submodules: 
2024-05-15T23:31:48.2713650Z   ref: 
2024-05-15T23:31:48.2714049Z   test-infra-repository: pytorch/test-infra
2024-05-15T23:31:48.2714572Z   test-infra-ref: 
2024-05-15T23:31:48.2714978Z   docker-image: pytorch/conda-builder
2024-05-15T23:31:48.2715476Z   docker-build-dir: .ci/docker
2024-05-15T23:31:48.2715931Z   gpu-arch-type: cuda
2024-05-15T23:31:48.2716339Z   gpu-arch-version: 12.1
2024-05-15T23:31:48.2716763Z   job-name: linux-job
2024-05-15T23:31:48.2717550Z   continue-on-error: false
2024-05-15T23:31:48.2717983Z   binary-matrix: 
2024-05-15T23:31:48.2718382Z   run-with-docker: true
2024-05-15T23:31:48.2718792Z   secrets-env: 
2024-05-15T23:31:48.2719152Z   no-sudo: false
2024-05-15T23:31:48.2719546Z ##[endgroup]
2024-05-15T23:31:48.2720222Z Complete job name: test-quantization-any / linux-job
2024-05-15T23:31:48.3510857Z ##[group]Run set -euxo pipefail
2024-05-15T23:31:48.3511486Z set -euxo pipefail
2024-05-15T23:31:48.3511979Z if [[ "${NO_SUDO}" == "false" ]]; then
2024-05-15T23:31:48.3512604Z   echo "::group::Cleanup with-sudo debug output"
2024-05-15T23:31:48.3513224Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2024-05-15T23:31:48.3513725Z else
2024-05-15T23:31:48.3514168Z   echo "::group::Cleanup no-sudo debug output"
2024-05-15T23:31:48.3514759Z   rm -rfv "${GITHUB_WORKSPACE}"
2024-05-15T23:31:48.3515327Z fi
2024-05-15T23:31:48.3515662Z 
2024-05-15T23:31:48.3516056Z mkdir -p "${GITHUB_WORKSPACE}"
2024-05-15T23:31:48.3516560Z echo "::endgroup::"
2024-05-15T23:31:48.3527516Z shell: /usr/bin/bash -e {0}
2024-05-15T23:31:48.3527956Z env:
2024-05-15T23:31:48.3528356Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:48.3529034Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:48.3529515Z   PR_NUMBER: 804
2024-05-15T23:31:48.3531586Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:48.3533713Z   NO_SUDO: false
2024-05-15T23:31:48.3534082Z ##[endgroup]
2024-05-15T23:31:48.3703960Z + [[ false == \f\a\l\s\e ]]
2024-05-15T23:31:48.3726637Z ##[group]Cleanup with-sudo debug output
2024-05-15T23:31:48.3736997Z + echo '::group::Cleanup with-sudo debug output'
2024-05-15T23:31:48.3737934Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/torchchat/torchchat
2024-05-15T23:31:48.3757612Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.git/branches'
2024-05-15T23:31:48.3758781Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.git/description'
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2024-05-15T23:31:48.5603437Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request_review.json'
2024-05-15T23:31:48.5604882Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request_review_approved.json'
2024-05-15T23:31:48.5606315Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/pull_request_reviews.json'
2024-05-15T23:31:48.5607747Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/permission.json'
2024-05-15T23:31:48.5609265Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.closed.json'
2024-05-15T23:31:48.5610927Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.labeled.json'
2024-05-15T23:31:48.5612531Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.synchronize.json'
2024-05-15T23:31:48.5614149Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger/pull_request.unlabeled.json'
2024-05-15T23:31:48.5615621Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push-trigger'
2024-05-15T23:31:48.5616910Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/push.json'
2024-05-15T23:31:48.5618182Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/workflow_jobs.json'
2024-05-15T23:31:48.5619570Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures/workflow_run.completed.json'
2024-05-15T23:31:48.5620953Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/fixtures'
2024-05-15T23:31:48.5622145Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/jobUtils.test.ts'
2024-05-15T23:31:48.5623373Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/labelCommands.test.ts'
2024-05-15T23:31:48.5624633Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/mergeCommands.test.ts'
2024-05-15T23:31:48.5625881Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/metricUtils.test.ts'
2024-05-15T23:31:48.5627047Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/reporter.js'
2024-05-15T23:31:48.5628212Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/retryBot.test.ts'
2024-05-15T23:31:48.5629450Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/searchUtils.test.ts'
2024-05-15T23:31:48.5630698Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/stripApprovals.test.ts'
2024-05-15T23:31:48.5631967Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/subscriptions.test.ts'
2024-05-15T23:31:48.5633305Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/triggerCircleCIWorkflows.test.ts'
2024-05-15T23:31:48.5634559Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/utils.ts'
2024-05-15T23:31:48.5635808Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test/verifyDisableTestIssue.test.ts'
2024-05-15T23:31:48.5637062Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/test'
2024-05-15T23:31:48.5638229Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/tsconfig.json'
2024-05-15T23:31:48.5639369Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/types/next-auth-d.ts'
2024-05-15T23:31:48.5640514Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/types'
2024-05-15T23:31:48.5641747Z removed '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci/yarn.lock'
2024-05-15T23:31:48.5642804Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/torchci'
2024-05-15T23:31:48.5643811Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra'
2024-05-15T23:31:48.5644763Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch'
2024-05-15T23:31:48.5645654Z removed directory: '/home/ec2-user/actions-runner/_work/torchchat/torchchat'
2024-05-15T23:31:48.5646857Z ##[endgroup]
2024-05-15T23:31:48.5890460Z ##[group]Run actions/checkout@v3
2024-05-15T23:31:48.5890877Z with:
2024-05-15T23:31:48.5891174Z   repository: pytorch/test-infra
2024-05-15T23:31:48.5891609Z   path: test-infra
2024-05-15T23:31:48.5891913Z   submodules: recursive
2024-05-15T23:31:48.5892390Z   token: ***
2024-05-15T23:31:48.5892695Z   ssh-strict: true
2024-05-15T23:31:48.5893013Z   persist-credentials: true
2024-05-15T23:31:48.5893357Z   clean: true
2024-05-15T23:31:48.5893666Z   sparse-checkout-cone-mode: true
2024-05-15T23:31:48.5894036Z   fetch-depth: 1
2024-05-15T23:31:48.5894327Z   fetch-tags: false
2024-05-15T23:31:48.5894626Z   lfs: false
2024-05-15T23:31:48.5894908Z   set-safe-directory: true
2024-05-15T23:31:48.5895238Z env:
2024-05-15T23:31:48.5895552Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:48.5895991Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:48.5896352Z   PR_NUMBER: 804
2024-05-15T23:31:48.5898381Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:48.5900576Z ##[endgroup]
2024-05-15T23:31:48.6879522Z Syncing repository: pytorch/test-infra
2024-05-15T23:31:48.6880394Z ##[group]Getting Git version info
2024-05-15T23:31:48.6881331Z Working directory is '/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra'
2024-05-15T23:31:48.6882275Z [command]/usr/bin/git version
2024-05-15T23:31:48.6882634Z git version 2.40.1
2024-05-15T23:31:48.6883820Z ##[endgroup]
2024-05-15T23:31:48.6895553Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/a4dc45ff-3eec-4f2d-8454-05d121757e4b/.gitconfig'
2024-05-15T23:31:48.6902937Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/a4dc45ff-3eec-4f2d-8454-05d121757e4b' before making global git config changes
2024-05-15T23:31:48.6904230Z Adding repository directory to the temporary git global config as a safe directory
2024-05-15T23:31:48.6907593Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-05-15T23:31:48.6938833Z ##[group]Initializing the repository
2024-05-15T23:31:48.6942166Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-05-15T23:31:48.6968734Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-05-15T23:31:48.6969715Z hint: is subject to change. To configure the initial branch name to use in all
2024-05-15T23:31:48.6970515Z hint: of your new repositories, which will suppress this warning, call:
2024-05-15T23:31:48.6971076Z hint: 
2024-05-15T23:31:48.6971503Z hint: 	git config --global init.defaultBranch <name>
2024-05-15T23:31:48.6971980Z hint: 
2024-05-15T23:31:48.6972488Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-05-15T23:31:48.6973309Z hint: 'development'. The just-created branch can be renamed via this command:
2024-05-15T23:31:48.6973907Z hint: 
2024-05-15T23:31:48.6974212Z hint: 	git branch -m <name>
2024-05-15T23:31:48.6975018Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.git/
2024-05-15T23:31:48.6978189Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2024-05-15T23:31:48.6997820Z ##[endgroup]
2024-05-15T23:31:48.6998579Z ##[group]Disabling automatic garbage collection
2024-05-15T23:31:48.7000180Z [command]/usr/bin/git config --local gc.auto 0
2024-05-15T23:31:48.7019224Z ##[endgroup]
2024-05-15T23:31:48.7020021Z ##[group]Setting up auth
2024-05-15T23:31:48.7025570Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-05-15T23:31:48.7047134Z [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' || :"
2024-05-15T23:31:48.7231093Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-05-15T23:31:48.7253650Z [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' || :"
2024-05-15T23:31:48.7449996Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-05-15T23:31:48.7487785Z ##[endgroup]
2024-05-15T23:31:48.7488667Z ##[group]Determining the default branch
2024-05-15T23:31:48.7491862Z Retrieving the default branch name
2024-05-15T23:31:48.9022992Z Default branch 'main'
2024-05-15T23:31:48.9023728Z ##[endgroup]
2024-05-15T23:31:48.9024275Z ##[group]Fetching the repository
2024-05-15T23:31:48.9028526Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main
2024-05-15T23:31:49.0891353Z remote: Enumerating objects: 1184, done.        
2024-05-15T23:31:49.0891909Z remote: Counting objects:   0% (1/1184)        
2024-05-15T23:31:49.0892596Z remote: Counting objects:   1% (12/1184)        
2024-05-15T23:31:49.0893240Z remote: Counting objects:   2% (24/1184)        
2024-05-15T23:31:49.0893841Z remote: Counting objects:   3% (36/1184)        
2024-05-15T23:31:49.0894696Z remote: Counting objects:   4% (48/1184)        
2024-05-15T23:31:49.0895444Z remote: Counting objects:   5% (60/1184)        
2024-05-15T23:31:49.0896160Z remote: Counting objects:   6% (72/1184)        
2024-05-15T23:31:49.0896881Z remote: Counting objects:   7% (83/1184)        
2024-05-15T23:31:49.0897632Z remote: Counting objects:   8% (95/1184)        
2024-05-15T23:31:49.0898338Z remote: Counting objects:   9% (107/1184)        
2024-05-15T23:31:49.0971030Z remote: Counting objects:  10% (119/1184)        
2024-05-15T23:31:49.0971921Z remote: Counting objects:  11% (131/1184)        
2024-05-15T23:31:49.0972421Z remote: Counting objects:  12% (143/1184)        
2024-05-15T23:31:49.0972905Z remote: Counting objects:  13% (154/1184)        
2024-05-15T23:31:49.0973403Z remote: Counting objects:  14% (166/1184)        
2024-05-15T23:31:49.0973897Z remote: Counting objects:  15% (178/1184)        
2024-05-15T23:31:49.0974377Z remote: Counting objects:  16% (190/1184)        
2024-05-15T23:31:49.0974870Z remote: Counting objects:  17% (202/1184)        
2024-05-15T23:31:49.0975358Z remote: Counting objects:  18% (214/1184)        
2024-05-15T23:31:49.0975936Z remote: Counting objects:  19% (225/1184)        
2024-05-15T23:31:49.0976426Z remote: Counting objects:  20% (237/1184)        
2024-05-15T23:31:49.0976909Z remote: Counting objects:  21% (249/1184)        
2024-05-15T23:31:49.0977393Z remote: Counting objects:  22% (261/1184)        
2024-05-15T23:31:49.0977881Z remote: Counting objects:  23% (273/1184)        
2024-05-15T23:31:49.0978364Z remote: Counting objects:  24% (285/1184)        
2024-05-15T23:31:49.0978847Z remote: Counting objects:  25% (296/1184)        
2024-05-15T23:31:49.0979328Z remote: Counting objects:  26% (308/1184)        
2024-05-15T23:31:49.0979806Z remote: Counting objects:  27% (320/1184)        
2024-05-15T23:31:49.0980300Z remote: Counting objects:  28% (332/1184)        
2024-05-15T23:31:49.0980786Z remote: Counting objects:  29% (344/1184)        
2024-05-15T23:31:49.0981269Z remote: Counting objects:  30% (356/1184)        
2024-05-15T23:31:49.0981755Z remote: Counting objects:  31% (368/1184)        
2024-05-15T23:31:49.0982240Z remote: Counting objects:  32% (379/1184)        
2024-05-15T23:31:49.0982725Z remote: Counting objects:  33% (391/1184)        
2024-05-15T23:31:49.0983211Z remote: Counting objects:  34% (403/1184)        
2024-05-15T23:31:49.0983696Z remote: Counting objects:  35% (415/1184)        
2024-05-15T23:31:49.0984415Z remote: Counting objects:  36% (427/1184)        
2024-05-15T23:31:49.0984912Z remote: Counting objects:  37% (439/1184)        
2024-05-15T23:31:49.0985405Z remote: Counting objects:  38% (450/1184)        
2024-05-15T23:31:49.0985901Z remote: Counting objects:  39% (462/1184)        
2024-05-15T23:31:49.0986382Z remote: Counting objects:  40% (474/1184)        
2024-05-15T23:31:49.0986873Z remote: Counting objects:  41% (486/1184)        
2024-05-15T23:31:49.0987369Z remote: Counting objects:  42% (498/1184)        
2024-05-15T23:31:49.0987853Z remote: Counting objects:  43% (510/1184)        
2024-05-15T23:31:49.0988336Z remote: Counting objects:  44% (521/1184)        
2024-05-15T23:31:49.0988821Z remote: Counting objects:  45% (533/1184)        
2024-05-15T23:31:49.0989301Z remote: Counting objects:  46% (545/1184)        
2024-05-15T23:31:49.0989783Z remote: Counting objects:  47% (557/1184)        
2024-05-15T23:31:49.0990266Z remote: Counting objects:  48% (569/1184)        
2024-05-15T23:31:49.0990770Z remote: Counting objects:  49% (581/1184)        
2024-05-15T23:31:49.0991395Z remote: Counting objects:  50% (592/1184)        
2024-05-15T23:31:49.0991876Z remote: Counting objects:  51% (604/1184)        
2024-05-15T23:31:49.0992355Z remote: Counting objects:  52% (616/1184)        
2024-05-15T23:31:49.0992838Z remote: Counting objects:  53% (628/1184)        
2024-05-15T23:31:49.0993322Z remote: Counting objects:  54% (640/1184)        
2024-05-15T23:31:49.0993805Z remote: Counting objects:  55% (652/1184)        
2024-05-15T23:31:49.0994300Z remote: Counting objects:  56% (664/1184)        
2024-05-15T23:31:49.0994792Z remote: Counting objects:  57% (675/1184)        
2024-05-15T23:31:49.0995280Z remote: Counting objects:  58% (687/1184)        
2024-05-15T23:31:49.0995762Z remote: Counting objects:  59% (699/1184)        
2024-05-15T23:31:49.0996249Z remote: Counting objects:  60% (711/1184)        
2024-05-15T23:31:49.0996735Z remote: Counting objects:  61% (723/1184)        
2024-05-15T23:31:49.0997219Z remote: Counting objects:  62% (735/1184)        
2024-05-15T23:31:49.0997785Z remote: Counting objects:  63% (746/1184)        
2024-05-15T23:31:49.0998267Z remote: Counting objects:  64% (758/1184)        
2024-05-15T23:31:49.0998747Z remote: Counting objects:  65% (770/1184)        
2024-05-15T23:31:49.0999233Z remote: Counting objects:  66% (782/1184)        
2024-05-15T23:31:49.0999714Z remote: Counting objects:  67% (794/1184)        
2024-05-15T23:31:49.1000193Z remote: Counting objects:  68% (806/1184)        
2024-05-15T23:31:49.1000677Z remote: Counting objects:  69% (817/1184)        
2024-05-15T23:31:49.1001377Z remote: Counting objects:  70% (829/1184)        
2024-05-15T23:31:49.1001858Z remote: Counting objects:  71% (841/1184)        
2024-05-15T23:31:49.1002352Z remote: Counting objects:  72% (853/1184)        
2024-05-15T23:31:49.1002834Z remote: Counting objects:  73% (865/1184)        
2024-05-15T23:31:49.1003319Z remote: Counting objects:  74% (877/1184)        
2024-05-15T23:31:49.1003819Z remote: Counting objects:  75% (888/1184)        
2024-05-15T23:31:49.1004313Z remote: Counting objects:  76% (900/1184)        
2024-05-15T23:31:49.1004800Z remote: Counting objects:  77% (912/1184)        
2024-05-15T23:31:49.1005290Z remote: Counting objects:  78% (924/1184)        
2024-05-15T23:31:49.1005790Z remote: Counting objects:  79% (936/1184)        
2024-05-15T23:31:49.1006292Z remote: Counting objects:  80% (948/1184)        
2024-05-15T23:31:49.1006779Z remote: Counting objects:  81% (960/1184)        
2024-05-15T23:31:49.1007278Z remote: Counting objects:  82% (971/1184)        
2024-05-15T23:31:49.1007783Z remote: Counting objects:  83% (983/1184)        
2024-05-15T23:31:49.1008277Z remote: Counting objects:  84% (995/1184)        
2024-05-15T23:31:49.1008797Z remote: Counting objects:  85% (1007/1184)        
2024-05-15T23:31:49.1009333Z remote: Counting objects:  86% (1019/1184)        
2024-05-15T23:31:49.1009950Z remote: Counting objects:  87% (1031/1184)        
2024-05-15T23:31:49.1010494Z remote: Counting objects:  88% (1042/1184)        
2024-05-15T23:31:49.1011023Z remote: Counting objects:  89% (1054/1184)        
2024-05-15T23:31:49.1011532Z remote: Counting objects:  90% (1066/1184)        
2024-05-15T23:31:49.1012031Z remote: Counting objects:  91% (1078/1184)        
2024-05-15T23:31:49.1012538Z remote: Counting objects:  92% (1090/1184)        
2024-05-15T23:31:49.1013028Z remote: Counting objects:  93% (1102/1184)        
2024-05-15T23:31:49.1013527Z remote: Counting objects:  94% (1113/1184)        
2024-05-15T23:31:49.1014028Z remote: Counting objects:  95% (1125/1184)        
2024-05-15T23:31:49.1014529Z remote: Counting objects:  96% (1137/1184)        
2024-05-15T23:31:49.1015044Z remote: Counting objects:  97% (1149/1184)        
2024-05-15T23:31:49.1015556Z remote: Counting objects:  98% (1161/1184)        
2024-05-15T23:31:49.1016055Z remote: Counting objects:  99% (1173/1184)        
2024-05-15T23:31:49.1016579Z remote: Counting objects: 100% (1184/1184)        
2024-05-15T23:31:49.1017193Z remote: Counting objects: 100% (1184/1184), done.        
2024-05-15T23:31:49.1017753Z remote: Compressing objects:   0% (1/931)        
2024-05-15T23:31:49.1018272Z remote: Compressing objects:   1% (10/931)        
2024-05-15T23:31:49.1018797Z remote: Compressing objects:   2% (19/931)        
2024-05-15T23:31:49.1019319Z remote: Compressing objects:   3% (28/931)        
2024-05-15T23:31:49.1019833Z remote: Compressing objects:   4% (38/931)        
2024-05-15T23:31:49.1020352Z remote: Compressing objects:   5% (47/931)        
2024-05-15T23:31:49.1020871Z remote: Compressing objects:   6% (56/931)        
2024-05-15T23:31:49.1021381Z remote: Compressing objects:   7% (66/931)        
2024-05-15T23:31:49.1021901Z remote: Compressing objects:   8% (75/931)        
2024-05-15T23:31:49.1022419Z remote: Compressing objects:   9% (84/931)        
2024-05-15T23:31:49.1022932Z remote: Compressing objects:  10% (94/931)        
2024-05-15T23:31:49.1023466Z remote: Compressing objects:  11% (103/931)        
2024-05-15T23:31:49.1024006Z remote: Compressing objects:  12% (112/931)        
2024-05-15T23:31:49.1024528Z remote: Compressing objects:  13% (122/931)        
2024-05-15T23:31:49.1025058Z remote: Compressing objects:  14% (131/931)        
2024-05-15T23:31:49.1025580Z remote: Compressing objects:  15% (140/931)        
2024-05-15T23:31:49.1026097Z remote: Compressing objects:  16% (149/931)        
2024-05-15T23:31:49.1026631Z remote: Compressing objects:  17% (159/931)        
2024-05-15T23:31:49.1027152Z remote: Compressing objects:  18% (168/931)        
2024-05-15T23:31:49.1027677Z remote: Compressing objects:  19% (177/931)        
2024-05-15T23:31:49.1028191Z remote: Compressing objects:  20% (187/931)        
2024-05-15T23:31:49.1028711Z remote: Compressing objects:  21% (196/931)        
2024-05-15T23:31:49.1029233Z remote: Compressing objects:  22% (205/931)        
2024-05-15T23:31:49.1029747Z remote: Compressing objects:  23% (215/931)        
2024-05-15T23:31:49.1030270Z remote: Compressing objects:  24% (224/931)        
2024-05-15T23:31:49.1030837Z remote: Compressing objects:  25% (233/931)        
2024-05-15T23:31:49.1031356Z remote: Compressing objects:  26% (243/931)        
2024-05-15T23:31:49.1031872Z remote: Compressing objects:  27% (252/931)        
2024-05-15T23:31:49.1032392Z remote: Compressing objects:  28% (261/931)        
2024-05-15T23:31:49.1032900Z remote: Compressing objects:  29% (270/931)        
2024-05-15T23:31:49.1033419Z remote: Compressing objects:  30% (280/931)        
2024-05-15T23:31:49.1033939Z remote: Compressing objects:  31% (289/931)        
2024-05-15T23:31:49.1034452Z remote: Compressing objects:  32% (298/931)        
2024-05-15T23:31:49.1034973Z remote: Compressing objects:  33% (308/931)        
2024-05-15T23:31:49.1035494Z remote: Compressing objects:  34% (317/931)        
2024-05-15T23:31:49.1036004Z remote: Compressing objects:  35% (326/931)        
2024-05-15T23:31:49.1036590Z remote: Compressing objects:  36% (336/931)        
2024-05-15T23:31:49.1037117Z remote: Compressing objects:  37% (345/931)        
2024-05-15T23:31:49.1037737Z remote: Compressing objects:  38% (354/931)        
2024-05-15T23:31:49.1038250Z remote: Compressing objects:  39% (364/931)        
2024-05-15T23:31:49.1038762Z remote: Compressing objects:  40% (373/931)        
2024-05-15T23:31:49.1039275Z remote: Compressing objects:  41% (382/931)        
2024-05-15T23:31:49.1039780Z remote: Compressing objects:  42% (392/931)        
2024-05-15T23:31:49.1040292Z remote: Compressing objects:  43% (401/931)        
2024-05-15T23:31:49.1040802Z remote: Compressing objects:  44% (410/931)        
2024-05-15T23:31:49.1041496Z remote: Compressing objects:  45% (419/931)        
2024-05-15T23:31:49.1042011Z remote: Compressing objects:  46% (429/931)        
2024-05-15T23:31:49.1042523Z remote: Compressing objects:  47% (438/931)        
2024-05-15T23:31:49.1043027Z remote: Compressing objects:  48% (447/931)        
2024-05-15T23:31:49.1043544Z remote: Compressing objects:  49% (457/931)        
2024-05-15T23:31:49.1044141Z remote: Compressing objects:  50% (466/931)        
2024-05-15T23:31:49.1044647Z remote: Compressing objects:  51% (475/931)        
2024-05-15T23:31:49.1045157Z remote: Compressing objects:  52% (485/931)        
2024-05-15T23:31:49.1045670Z remote: Compressing objects:  53% (494/931)        
2024-05-15T23:31:49.1046174Z remote: Compressing objects:  54% (503/931)        
2024-05-15T23:31:49.1046691Z remote: Compressing objects:  55% (513/931)        
2024-05-15T23:31:49.1047202Z remote: Compressing objects:  56% (522/931)        
2024-05-15T23:31:49.1047716Z remote: Compressing objects:  57% (531/931)        
2024-05-15T23:31:49.1048220Z remote: Compressing objects:  58% (540/931)        
2024-05-15T23:31:49.1048729Z remote: Compressing objects:  59% (550/931)        
2024-05-15T23:31:49.1049241Z remote: Compressing objects:  60% (559/931)        
2024-05-15T23:31:49.1049749Z remote: Compressing objects:  61% (568/931)        
2024-05-15T23:31:49.1050267Z remote: Compressing objects:  62% (578/931)        
2024-05-15T23:31:49.1050779Z remote: Compressing objects:  63% (587/931)        
2024-05-15T23:31:49.1051281Z remote: Compressing objects:  64% (596/931)        
2024-05-15T23:31:49.1051797Z remote: Compressing objects:  65% (606/931)        
2024-05-15T23:31:49.1052306Z remote: Compressing objects:  66% (615/931)        
2024-05-15T23:31:49.1052808Z remote: Compressing objects:  67% (624/931)        
2024-05-15T23:31:49.1053320Z remote: Compressing objects:  68% (634/931)        
2024-05-15T23:31:49.1053832Z remote: Compressing objects:  69% (643/931)        
2024-05-15T23:31:49.1054334Z remote: Compressing objects:  70% (652/931)        
2024-05-15T23:31:49.1054843Z remote: Compressing objects:  71% (662/931)        
2024-05-15T23:31:49.1055357Z remote: Compressing objects:  72% (671/931)        
2024-05-15T23:31:49.1055860Z remote: Compressing objects:  73% (680/931)        
2024-05-15T23:31:49.1056379Z remote: Compressing objects:  74% (689/931)        
2024-05-15T23:31:49.1056899Z remote: Compressing objects:  75% (699/931)        
2024-05-15T23:31:49.1057402Z remote: Compressing objects:  76% (708/931)        
2024-05-15T23:31:49.1057914Z remote: Compressing objects:  77% (717/931)        
2024-05-15T23:31:49.1058430Z remote: Compressing objects:  78% (727/931)        
2024-05-15T23:31:49.1058942Z remote: Compressing objects:  79% (736/931)        
2024-05-15T23:31:49.1059450Z remote: Compressing objects:  80% (745/931)        
2024-05-15T23:31:49.1059959Z remote: Compressing objects:  81% (755/931)        
2024-05-15T23:31:49.1060466Z remote: Compressing objects:  82% (764/931)        
2024-05-15T23:31:49.1060973Z remote: Compressing objects:  83% (773/931)        
2024-05-15T23:31:49.1061484Z remote: Compressing objects:  84% (783/931)        
2024-05-15T23:31:49.1061992Z remote: Compressing objects:  85% (792/931)        
2024-05-15T23:31:49.1062501Z remote: Compressing objects:  86% (801/931)        
2024-05-15T23:31:49.1063090Z remote: Compressing objects:  87% (810/931)        
2024-05-15T23:31:49.1063607Z remote: Compressing objects:  88% (820/931)        
2024-05-15T23:31:49.1064109Z remote: Compressing objects:  89% (829/931)        
2024-05-15T23:31:49.1064620Z remote: Compressing objects:  90% (838/931)        
2024-05-15T23:31:49.1065126Z remote: Compressing objects:  91% (848/931)        
2024-05-15T23:31:49.1065629Z remote: Compressing objects:  92% (857/931)        
2024-05-15T23:31:49.1066145Z remote: Compressing objects:  93% (866/931)        
2024-05-15T23:31:49.1066654Z remote: Compressing objects:  94% (876/931)        
2024-05-15T23:31:49.1067159Z remote: Compressing objects:  95% (885/931)        
2024-05-15T23:31:49.1067679Z remote: Compressing objects:  96% (894/931)        
2024-05-15T23:31:49.1068191Z remote: Compressing objects:  97% (904/931)        
2024-05-15T23:31:49.1068701Z remote: Compressing objects:  98% (913/931)        
2024-05-15T23:31:49.1069211Z remote: Compressing objects:  99% (922/931)        
2024-05-15T23:31:49.1069785Z remote: Compressing objects: 100% (931/931)        
2024-05-15T23:31:49.1070340Z remote: Compressing objects: 100% (931/931), done.        
2024-05-15T23:31:49.1070843Z Receiving objects:   0% (1/1184)
2024-05-15T23:31:49.1071234Z Receiving objects:   1% (12/1184)
2024-05-15T23:31:49.1071626Z Receiving objects:   2% (24/1184)
2024-05-15T23:31:49.1072017Z Receiving objects:   3% (36/1184)
2024-05-15T23:31:49.1072412Z Receiving objects:   4% (48/1184)
2024-05-15T23:31:49.1072800Z Receiving objects:   5% (60/1184)
2024-05-15T23:31:49.1073185Z Receiving objects:   6% (72/1184)
2024-05-15T23:31:49.1088033Z Receiving objects:   7% (83/1184)
2024-05-15T23:31:49.1090673Z Receiving objects:   8% (95/1184)
2024-05-15T23:31:49.1094034Z Receiving objects:   9% (107/1184)
2024-05-15T23:31:49.1095405Z Receiving objects:  10% (119/1184)
2024-05-15T23:31:49.1096549Z Receiving objects:  11% (131/1184)
2024-05-15T23:31:49.1098417Z Receiving objects:  12% (143/1184)
2024-05-15T23:31:49.1109188Z Receiving objects:  13% (154/1184)
2024-05-15T23:31:49.1110066Z Receiving objects:  14% (166/1184)
2024-05-15T23:31:49.1112642Z Receiving objects:  15% (178/1184)
2024-05-15T23:31:49.1114133Z Receiving objects:  16% (190/1184)
2024-05-15T23:31:49.1117183Z Receiving objects:  17% (202/1184)
2024-05-15T23:31:49.1129265Z Receiving objects:  18% (214/1184)
2024-05-15T23:31:49.1132331Z Receiving objects:  19% (225/1184)
2024-05-15T23:31:49.1135618Z Receiving objects:  20% (237/1184)
2024-05-15T23:31:49.1137132Z Receiving objects:  21% (249/1184)
2024-05-15T23:31:49.1149362Z Receiving objects:  22% (261/1184)
2024-05-15T23:31:49.1193001Z Receiving objects:  23% (273/1184)
2024-05-15T23:31:49.1194809Z Receiving objects:  24% (285/1184)
2024-05-15T23:31:49.1207890Z Receiving objects:  25% (296/1184)
2024-05-15T23:31:49.1209359Z Receiving objects:  26% (308/1184)
2024-05-15T23:31:49.1215026Z Receiving objects:  27% (320/1184)
2024-05-15T23:31:49.1217042Z Receiving objects:  28% (332/1184)
2024-05-15T23:31:49.1219367Z Receiving objects:  29% (344/1184)
2024-05-15T23:31:49.1221268Z Receiving objects:  30% (356/1184)
2024-05-15T23:31:49.1224652Z Receiving objects:  31% (368/1184)
2024-05-15T23:31:49.1234471Z Receiving objects:  32% (379/1184)
2024-05-15T23:31:49.1249211Z Receiving objects:  33% (391/1184)
2024-05-15T23:31:49.1250608Z Receiving objects:  34% (403/1184)
2024-05-15T23:31:49.1251924Z Receiving objects:  35% (415/1184)
2024-05-15T23:31:49.1252575Z Receiving objects:  36% (427/1184)
2024-05-15T23:31:49.1254666Z Receiving objects:  37% (439/1184)
2024-05-15T23:31:49.1256171Z Receiving objects:  38% (450/1184)
2024-05-15T23:31:49.1263116Z Receiving objects:  39% (462/1184)
2024-05-15T23:31:49.1265921Z Receiving objects:  40% (474/1184)
2024-05-15T23:31:49.1271882Z Receiving objects:  41% (486/1184)
2024-05-15T23:31:49.1274868Z Receiving objects:  42% (498/1184)
2024-05-15T23:31:49.1281646Z Receiving objects:  43% (510/1184)
2024-05-15T23:31:49.1285879Z Receiving objects:  44% (521/1184)
2024-05-15T23:31:49.1287288Z Receiving objects:  45% (533/1184)
2024-05-15T23:31:49.1288203Z Receiving objects:  46% (545/1184)
2024-05-15T23:31:49.1290084Z Receiving objects:  47% (557/1184)
2024-05-15T23:31:49.1294543Z Receiving objects:  48% (569/1184)
2024-05-15T23:31:49.1297978Z Receiving objects:  49% (581/1184)
2024-05-15T23:31:49.1303111Z Receiving objects:  50% (592/1184)
2024-05-15T23:31:49.1304508Z Receiving objects:  51% (604/1184)
2024-05-15T23:31:49.1307792Z Receiving objects:  52% (616/1184)
2024-05-15T23:31:49.1310866Z Receiving objects:  53% (628/1184)
2024-05-15T23:31:49.1313302Z Receiving objects:  54% (640/1184)
2024-05-15T23:31:49.1318569Z Receiving objects:  55% (652/1184)
2024-05-15T23:31:49.1322508Z Receiving objects:  56% (664/1184)
2024-05-15T23:31:49.1325805Z Receiving objects:  57% (675/1184)
2024-05-15T23:31:49.1328694Z Receiving objects:  58% (687/1184)
2024-05-15T23:31:49.1331712Z Receiving objects:  59% (699/1184)
2024-05-15T23:31:49.1334813Z Receiving objects:  60% (711/1184)
2024-05-15T23:31:49.1339008Z Receiving objects:  61% (723/1184)
2024-05-15T23:31:49.1341630Z Receiving objects:  62% (735/1184)
2024-05-15T23:31:49.1348942Z Receiving objects:  63% (746/1184)
2024-05-15T23:31:49.1355366Z Receiving objects:  64% (758/1184)
2024-05-15T23:31:49.1392363Z Receiving objects:  65% (770/1184)
2024-05-15T23:31:49.1397542Z Receiving objects:  66% (782/1184)
2024-05-15T23:31:49.1478553Z Receiving objects:  67% (794/1184)
2024-05-15T23:31:49.1479692Z Receiving objects:  68% (806/1184)
2024-05-15T23:31:49.1482698Z Receiving objects:  69% (817/1184)
2024-05-15T23:31:49.1489383Z Receiving objects:  70% (829/1184)
2024-05-15T23:31:49.1490392Z Receiving objects:  71% (841/1184)
2024-05-15T23:31:49.1491059Z Receiving objects:  72% (853/1184)
2024-05-15T23:31:49.1498850Z Receiving objects:  73% (865/1184)
2024-05-15T23:31:49.1502138Z Receiving objects:  74% (877/1184)
2024-05-15T23:31:49.1506636Z Receiving objects:  75% (888/1184)
2024-05-15T23:31:49.1511091Z Receiving objects:  76% (900/1184)
2024-05-15T23:31:49.1512620Z Receiving objects:  77% (912/1184)
2024-05-15T23:31:49.1515423Z Receiving objects:  78% (924/1184)
2024-05-15T23:31:49.1517744Z Receiving objects:  79% (936/1184)
2024-05-15T23:31:49.1519119Z Receiving objects:  80% (948/1184)
2024-05-15T23:31:49.1519524Z Receiving objects:  81% (960/1184)
2024-05-15T23:31:49.1519927Z Receiving objects:  82% (971/1184)
2024-05-15T23:31:49.1520325Z Receiving objects:  83% (983/1184)
2024-05-15T23:31:49.1521760Z Receiving objects:  84% (995/1184)
2024-05-15T23:31:49.1523869Z Receiving objects:  85% (1007/1184)
2024-05-15T23:31:49.1525447Z Receiving objects:  86% (1019/1184)
2024-05-15T23:31:49.1526766Z Receiving objects:  87% (1031/1184)
2024-05-15T23:31:49.1527176Z Receiving objects:  88% (1042/1184)
2024-05-15T23:31:49.1527586Z Receiving objects:  89% (1054/1184)
2024-05-15T23:31:49.1527987Z Receiving objects:  90% (1066/1184)
2024-05-15T23:31:49.1529489Z Receiving objects:  91% (1078/1184)
2024-05-15T23:31:49.1531334Z Receiving objects:  92% (1090/1184)
2024-05-15T23:31:49.1531751Z Receiving objects:  93% (1102/1184)
2024-05-15T23:31:49.1533926Z Receiving objects:  94% (1113/1184)
2024-05-15T23:31:49.1539516Z Receiving objects:  95% (1125/1184)
2024-05-15T23:31:49.1548503Z Receiving objects:  96% (1137/1184)
2024-05-15T23:31:49.1558110Z Receiving objects:  97% (1149/1184)
2024-05-15T23:31:49.1559089Z remote: Total 1184 (delta 220), reused 672 (delta 133), pack-reused 0        
2024-05-15T23:31:49.1563873Z Receiving objects:  98% (1161/1184)
2024-05-15T23:31:49.1574734Z Receiving objects:  99% (1173/1184)
2024-05-15T23:31:49.1575243Z Receiving objects: 100% (1184/1184)
2024-05-15T23:31:49.1575782Z Receiving objects: 100% (1184/1184), 1.53 MiB | 23.72 MiB/s, done.
2024-05-15T23:31:49.1579746Z Resolving deltas:   0% (0/220)
2024-05-15T23:31:49.1580852Z Resolving deltas:   1% (3/220)
2024-05-15T23:31:49.1581694Z Resolving deltas:   2% (5/220)
2024-05-15T23:31:49.1583917Z Resolving deltas:   3% (7/220)
2024-05-15T23:31:49.1585528Z Resolving deltas:   5% (11/220)
2024-05-15T23:31:49.1586278Z Resolving deltas:   6% (14/220)
2024-05-15T23:31:49.1586842Z Resolving deltas:   7% (16/220)
2024-05-15T23:31:49.1587426Z Resolving deltas:   8% (18/220)
2024-05-15T23:31:49.1587967Z Resolving deltas:   9% (20/220)
2024-05-15T23:31:49.1588442Z Resolving deltas:  11% (25/220)
2024-05-15T23:31:49.1588964Z Resolving deltas:  12% (27/220)
2024-05-15T23:31:49.1589487Z Resolving deltas:  13% (29/220)
2024-05-15T23:31:49.1589944Z Resolving deltas:  14% (31/220)
2024-05-15T23:31:49.1590444Z Resolving deltas:  15% (33/220)
2024-05-15T23:31:49.1590867Z Resolving deltas:  16% (36/220)
2024-05-15T23:31:49.1591629Z Resolving deltas:  17% (38/220)
2024-05-15T23:31:49.1592147Z Resolving deltas:  18% (40/220)
2024-05-15T23:31:49.1592659Z Resolving deltas:  19% (42/220)
2024-05-15T23:31:49.1593076Z Resolving deltas:  20% (45/220)
2024-05-15T23:31:49.1593874Z Resolving deltas:  21% (47/220)
2024-05-15T23:31:49.1594619Z Resolving deltas:  22% (50/220)
2024-05-15T23:31:49.1595205Z Resolving deltas:  23% (52/220)
2024-05-15T23:31:49.1596211Z Resolving deltas:  24% (53/220)
2024-05-15T23:31:49.1597234Z Resolving deltas:  25% (55/220)
2024-05-15T23:31:49.1597765Z Resolving deltas:  26% (58/220)
2024-05-15T23:31:49.1598587Z Resolving deltas:  27% (60/220)
2024-05-15T23:31:49.1602636Z Resolving deltas:  28% (62/220)
2024-05-15T23:31:49.1603037Z Resolving deltas:  30% (67/220)
2024-05-15T23:31:49.1613098Z Resolving deltas:  31% (69/220)
2024-05-15T23:31:49.1613592Z Resolving deltas:  32% (71/220)
2024-05-15T23:31:49.1613980Z Resolving deltas:  33% (73/220)
2024-05-15T23:31:49.1614376Z Resolving deltas:  34% (75/220)
2024-05-15T23:31:49.1615208Z Resolving deltas:  35% (77/220)
2024-05-15T23:31:49.1615736Z Resolving deltas:  36% (80/220)
2024-05-15T23:31:49.1616437Z Resolving deltas:  37% (82/220)
2024-05-15T23:31:49.1616902Z Resolving deltas:  38% (84/220)
2024-05-15T23:31:49.1617283Z Resolving deltas:  39% (86/220)
2024-05-15T23:31:49.1617930Z Resolving deltas:  40% (88/220)
2024-05-15T23:31:49.1619556Z Resolving deltas:  41% (91/220)
2024-05-15T23:31:49.1621160Z Resolving deltas:  42% (93/220)
2024-05-15T23:31:49.1622026Z Resolving deltas:  43% (95/220)
2024-05-15T23:31:49.1625608Z Resolving deltas:  44% (97/220)
2024-05-15T23:31:49.1627119Z Resolving deltas:  45% (99/220)
2024-05-15T23:31:49.1627551Z Resolving deltas:  46% (102/220)
2024-05-15T23:31:49.1628504Z Resolving deltas:  47% (105/220)
2024-05-15T23:31:49.1629685Z Resolving deltas:  48% (107/220)
2024-05-15T23:31:49.1630846Z Resolving deltas:  49% (108/220)
2024-05-15T23:31:49.1631470Z Resolving deltas:  50% (110/220)
2024-05-15T23:31:49.1632085Z Resolving deltas:  51% (113/220)
2024-05-15T23:31:49.1632668Z Resolving deltas:  52% (115/220)
2024-05-15T23:31:49.1633198Z Resolving deltas:  53% (118/220)
2024-05-15T23:31:49.1633742Z Resolving deltas:  54% (119/220)
2024-05-15T23:31:49.1634266Z Resolving deltas:  55% (121/220)
2024-05-15T23:31:49.1634773Z Resolving deltas:  56% (124/220)
2024-05-15T23:31:49.1635203Z Resolving deltas:  57% (126/220)
2024-05-15T23:31:49.1635642Z Resolving deltas:  58% (128/220)
2024-05-15T23:31:49.1636179Z Resolving deltas:  59% (130/220)
2024-05-15T23:31:49.1636564Z Resolving deltas:  60% (133/220)
2024-05-15T23:31:49.1637062Z Resolving deltas:  61% (135/220)
2024-05-15T23:31:49.1637647Z Resolving deltas:  62% (137/220)
2024-05-15T23:31:49.1638086Z Resolving deltas:  64% (142/220)
2024-05-15T23:31:49.1638523Z Resolving deltas:  65% (143/220)
2024-05-15T23:31:49.1639049Z Resolving deltas:  66% (147/220)
2024-05-15T23:31:49.1639463Z Resolving deltas:  67% (148/220)
2024-05-15T23:31:49.1639849Z Resolving deltas:  68% (150/220)
2024-05-15T23:31:49.1640319Z Resolving deltas:  69% (152/220)
2024-05-15T23:31:49.1640746Z Resolving deltas:  70% (154/220)
2024-05-15T23:31:49.1641329Z Resolving deltas:  71% (157/220)
2024-05-15T23:31:49.1641849Z Resolving deltas:  72% (160/220)
2024-05-15T23:31:49.1642352Z Resolving deltas:  73% (161/220)
2024-05-15T23:31:49.1642882Z Resolving deltas:  74% (163/220)
2024-05-15T23:31:49.1643630Z Resolving deltas:  75% (165/220)
2024-05-15T23:31:49.1644204Z Resolving deltas:  76% (168/220)
2024-05-15T23:31:49.1644816Z Resolving deltas:  77% (170/220)
2024-05-15T23:31:49.1645394Z Resolving deltas:  78% (173/220)
2024-05-15T23:31:49.1645925Z Resolving deltas:  79% (174/220)
2024-05-15T23:31:49.1646453Z Resolving deltas:  80% (176/220)
2024-05-15T23:31:49.1647016Z Resolving deltas:  81% (180/220)
2024-05-15T23:31:49.1647556Z Resolving deltas:  82% (181/220)
2024-05-15T23:31:49.1648146Z Resolving deltas:  83% (183/220)
2024-05-15T23:31:49.1648661Z Resolving deltas:  84% (185/220)
2024-05-15T23:31:49.1649183Z Resolving deltas:  85% (187/220)
2024-05-15T23:31:49.1649597Z Resolving deltas:  86% (190/220)
2024-05-15T23:31:49.1649989Z Resolving deltas:  87% (192/220)
2024-05-15T23:31:49.1650363Z Resolving deltas:  88% (194/220)
2024-05-15T23:31:49.1650750Z Resolving deltas:  89% (196/220)
2024-05-15T23:31:49.1651128Z Resolving deltas:  90% (198/220)
2024-05-15T23:31:49.1651503Z Resolving deltas:  91% (201/220)
2024-05-15T23:31:49.1651902Z Resolving deltas:  92% (203/220)
2024-05-15T23:31:49.1652401Z Resolving deltas:  94% (207/220)
2024-05-15T23:31:49.1652783Z Resolving deltas:  95% (209/220)
2024-05-15T23:31:49.1653166Z Resolving deltas:  96% (212/220)
2024-05-15T23:31:49.1653550Z Resolving deltas:  97% (215/220)
2024-05-15T23:31:49.1653921Z Resolving deltas:  98% (216/220)
2024-05-15T23:31:49.1697846Z Resolving deltas:  99% (218/220)
2024-05-15T23:31:49.1698458Z Resolving deltas: 100% (220/220)
2024-05-15T23:31:49.1698859Z Resolving deltas: 100% (220/220), done.
2024-05-15T23:31:49.1879417Z From https://github.com/pytorch/test-infra
2024-05-15T23:31:49.1880075Z  * [new branch]      main       -> origin/main
2024-05-15T23:31:49.1894788Z ##[endgroup]
2024-05-15T23:31:49.1895342Z ##[group]Determining the checkout info
2024-05-15T23:31:49.1898203Z ##[endgroup]
2024-05-15T23:31:49.1898783Z ##[group]Checking out the ref
2024-05-15T23:31:49.1903036Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2024-05-15T23:31:49.2435850Z Switched to a new branch 'main'
2024-05-15T23:31:49.2436626Z branch 'main' set up to track 'origin/main'.
2024-05-15T23:31:49.2442875Z ##[endgroup]
2024-05-15T23:31:49.2443450Z ##[group]Setting up auth for fetching submodules
2024-05-15T23:31:49.2450349Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-05-15T23:31:49.2497750Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2024-05-15T23:31:49.2526157Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2024-05-15T23:31:49.2549682Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2024-05-15T23:31:49.2577866Z ##[endgroup]
2024-05-15T23:31:49.2578429Z ##[group]Fetching submodules
2024-05-15T23:31:49.2581224Z [command]/usr/bin/git submodule sync --recursive
2024-05-15T23:31:49.2776695Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2024-05-15T23:31:49.2977879Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2024-05-15T23:31:49.3173074Z ##[endgroup]
2024-05-15T23:31:49.3173678Z ##[group]Persisting credentials for submodules
2024-05-15T23:31:49.3178632Z [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' || :"
2024-05-15T23:31:49.3377112Z [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"
2024-05-15T23:31:49.3576296Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2024-05-15T23:31:49.3774190Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2024-05-15T23:31:49.3971860Z ##[endgroup]
2024-05-15T23:31:49.3999559Z [command]/usr/bin/git log -1 --format='%H'
2024-05-15T23:31:49.4016447Z '2698cb3ae580a5b2e6f3488e44cf57d8178edb04'
2024-05-15T23:31:49.4285890Z Prepare all required actions
2024-05-15T23:31:49.4286387Z Getting action download info
2024-05-15T23:31:49.5153743Z Download action repository 'pytorch/test-infra@main' (SHA:2698cb3ae580a5b2e6f3488e44cf57d8178edb04)
2024-05-15T23:31:49.7438507Z Getting action download info
2024-05-15T23:31:49.8300751Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2024-05-15T23:31:49.9619071Z ##[group]Run ./test-infra/.github/actions/setup-linux
2024-05-15T23:31:49.9619623Z env:
2024-05-15T23:31:49.9620016Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:49.9620538Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:49.9620984Z   PR_NUMBER: 804
2024-05-15T23:31:49.9623086Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:49.9625337Z ##[endgroup]
2024-05-15T23:31:49.9822040Z ##[group]Run set -euo pipefail
2024-05-15T23:31:49.9822533Z set -euo pipefail
2024-05-15T23:31:49.9822994Z function get_ec2_metadata() {
2024-05-15T23:31:49.9823599Z   # Pulled from instance metadata endpoint for EC2
2024-05-15T23:31:49.9824557Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2024-05-15T23:31:49.9825392Z   category=$1
2024-05-15T23:31:49.9825997Z   curl -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2024-05-15T23:31:49.9826648Z }
2024-05-15T23:31:49.9827081Z echo "ami-id: $(get_ec2_metadata ami-id)"
2024-05-15T23:31:49.9827733Z echo "instance-id: $(get_ec2_metadata instance-id)"
2024-05-15T23:31:49.9828467Z echo "instance-type: $(get_ec2_metadata instance-type)"
2024-05-15T23:31:49.9829095Z echo "system info $(uname -a)"
2024-05-15T23:31:49.9838781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:31:49.9839351Z env:
2024-05-15T23:31:49.9839742Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:49.9840284Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:49.9840734Z   PR_NUMBER: 804
2024-05-15T23:31:49.9842927Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:49.9845051Z ##[endgroup]
2024-05-15T23:31:49.9979011Z ami-id: ami-0ce0c36d7a00b20e2
2024-05-15T23:31:50.0026186Z instance-id: i-0d9102d0cc85bf30c
2024-05-15T23:31:50.0066575Z instance-type: g5.4xlarge
2024-05-15T23:31:50.0072752Z system info Linux ip-10-0-0-64.ec2.internal 4.14.336-257.562.amzn2.x86_64 #1 SMP Sat Feb 24 09:50:35 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
2024-05-15T23:31:50.0102460Z ##[group]Run if systemctl is-active --quiet docker; then
2024-05-15T23:31:50.0103139Z if systemctl is-active --quiet docker; then
2024-05-15T23:31:50.0103747Z     echo "Docker daemon is running...";
2024-05-15T23:31:50.0104257Z else
2024-05-15T23:31:50.0104819Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2024-05-15T23:31:50.0105468Z fi
2024-05-15T23:31:50.0113187Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:31:50.0113765Z env:
2024-05-15T23:31:50.0114172Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:50.0114703Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:50.0115266Z   PR_NUMBER: 804
2024-05-15T23:31:50.0117329Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:50.0119594Z ##[endgroup]
2024-05-15T23:31:50.0202251Z Docker daemon is running...
2024-05-15T23:31:50.0224802Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2024-05-15T23:31:50.0225692Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2024-05-15T23:31:50.0226545Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2024-05-15T23:31:50.0227419Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2024-05-15T23:31:50.0228396Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2024-05-15T23:31:50.0236260Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:31:50.0236760Z env:
2024-05-15T23:31:50.0237076Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:50.0237665Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:50.0238040Z   PR_NUMBER: 804
2024-05-15T23:31:50.0240027Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:50.0242348Z   AWS_RETRY_MODE: standard
2024-05-15T23:31:50.0242701Z   AWS_MAX_ATTEMPTS: 5
2024-05-15T23:31:50.0243051Z   AWS_DEFAULT_REGION: us-east-1
2024-05-15T23:31:50.0243417Z ##[endgroup]
2024-05-15T23:31:51.0215581Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2024-05-15T23:31:51.0216604Z Configure a credential helper to remove this warning. See
2024-05-15T23:31:51.0217489Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2024-05-15T23:31:51.0218018Z 
2024-05-15T23:31:51.0218147Z Login Succeeded
2024-05-15T23:31:51.0254799Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-05-15T23:31:51.0255721Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-05-15T23:31:51.0256558Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2024-05-15T23:31:51.0264826Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:31:51.0265399Z env:
2024-05-15T23:31:51.0265793Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:51.0266336Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:51.0266786Z   PR_NUMBER: 804
2024-05-15T23:31:51.0268851Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:51.0270992Z ##[endgroup]
2024-05-15T23:31:51.0335147Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-05-15T23:31:51.0335750Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2024-05-15T23:31:51.0336276Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2024-05-15T23:31:51.0336764Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2024-05-15T23:31:51.0337362Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2024-05-15T23:31:51.0338066Z 
2024-05-15T23:31:51.0338466Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2024-05-15T23:31:51.0339038Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2024-05-15T23:31:51.0339534Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2024-05-15T23:31:51.0340175Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2024-05-15T23:31:51.0340765Z 
2024-05-15T23:31:51.0341087Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2024-05-15T23:31:51.0341614Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2024-05-15T23:31:51.0342056Z mkdir -p "${RUNNER_DOCS_DIR}"
2024-05-15T23:31:51.0342596Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2024-05-15T23:31:51.0349541Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:31:51.0350129Z env:
2024-05-15T23:31:51.0350447Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:51.0350900Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:51.0351279Z   PR_NUMBER: 804
2024-05-15T23:31:51.0353265Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:51.0355305Z ##[endgroup]
2024-05-15T23:31:51.1021539Z ##[group]Run needs=0
2024-05-15T23:31:51.1021942Z needs=0
2024-05-15T23:31:51.1022520Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2024-05-15T23:31:51.1023174Z   needs=1
2024-05-15T23:31:51.1023546Z fi
2024-05-15T23:31:51.1023974Z echo "does=${needs}" >> $GITHUB_OUTPUT
2024-05-15T23:31:51.1032032Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:31:51.1032586Z env:
2024-05-15T23:31:51.1032976Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:51.1033499Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:51.1033942Z   PR_NUMBER: 804
2024-05-15T23:31:51.1035999Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:51.1038385Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:31:51.1039206Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:31:51.1039994Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:31:51.1040571Z ##[endgroup]
2024-05-15T23:31:51.1364756Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2024-05-15T23:31:51.1365278Z with:
2024-05-15T23:31:51.1365549Z   driver-version: 550.54.15
2024-05-15T23:31:51.1365883Z env:
2024-05-15T23:31:51.1366192Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:51.1366647Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:51.1367018Z   PR_NUMBER: 804
2024-05-15T23:31:51.1368994Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:51.1371238Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:31:51.1372034Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:31:51.1372862Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:31:51.1373383Z ##[endgroup]
2024-05-15T23:31:51.1414671Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2024-05-15T23:31:51.1415216Z with:
2024-05-15T23:31:51.1415491Z   timeout_minutes: 10
2024-05-15T23:31:51.1415804Z   max_attempts: 3
2024-05-15T23:31:51.1446149Z   command: # Is it disgusting to have a full shell script here in this github action? Sure
# But is it the best way to make it so that this action relies on nothing else? Absolutely
set -eou pipefail

DISTRIBUTION=$(. /etc/os-release;echo $ID$VERSION_ID)
DRIVER_FN="NVIDIA-Linux-x86_64-${DRIVER_VERSION}.run"
YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y nvidia-docker2
        sudo systemctl restart docker
    )
}

install_nvidia_docker2_ubuntu20() {
    (
        set -x
        # Install nvidia-driver package if not installed
        status="$(dpkg-query -W --showformat='${db:Status-Status}' nvidia-docker2 2>&1)"
        if [ ! $? = 0 ] || [ ! "$status" = installed ]; then
          sudo apt-get install -y nvidia-docker2
          sudo systemctl restart docker
        fi
    )
}

pre_install_nvidia_driver_amzn2() {
    (
        # Purge any nvidia driver installed from RHEL repo
        sudo yum remove -y nvidia-driver-latest-dkms
    )
}

install_nvidia_driver_common() {
    (
        # Try to gather more information about the runner and its existing NVIDIA driver if any
        echo "Before installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        HAS_NVIDIA_DRIVER=0
        # Check if NVIDIA driver has already been installed
        if [ -x "$(command -v nvidia-smi)" ]; then
            set +e
            # The driver exists, check its version next. Also check only the first GPU if there are more than one of them
            # so that the same driver version is not print over multiple lines
            INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
            NVIDIA_SMI_STATUS=$?

            if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                echo "Failed to get NVIDIA driver version ($INSTALLED_DRIVER_VERSION). Continuing"
            elif [ "$INSTALLED_DRIVER_VERSION" != "$DRIVER_VERSION" ]; then
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has been installed, but we expect to have $DRIVER_VERSION instead. Continuing"
            else
                HAS_NVIDIA_DRIVER=1
                echo "NVIDIA driver ($INSTALLED_DRIVER_VERSION) has already been installed. Skipping NVIDIA driver installation"
            fi
            set -e
        fi

        if [ "$HAS_NVIDIA_DRIVER" -eq 0 ]; then
            # CAUTION: this may need to be updated in future
            if [ "${DISTRIBUTION}" != ubuntu20.04 ]; then
                  sudo yum groupinstall -y "Development Tools"
                  # ensure our kernel install is the same as our underlying kernel,
                  # groupinstall "Development Tools" has a habit of mismatching kernel headers
                  sudo yum install -y "kernel-devel-uname-r == $(uname -r)"
                  sudo modprobe backlight
            fi
            sudo curl -fsL -o /tmp/nvidia_driver "https://s3.amazonaws.com/ossci-linux/nvidia_driver/$DRIVER_FN"

            set +e
            sudo /bin/bash /tmp/nvidia_driver -s --no-drm
            NVIDIA_INSTALLATION_STATUS=$?

            RESET_GPU=0
            if [ "$NVIDIA_INSTALLATION_STATUS" -ne 0 ]; then
                sudo cat /var/log/nvidia-installer.log
                # Fail to install NVIDIA driver, try to reset the GPU
                RESET_GPU=1
            elif [ -x "$(command -v nvidia-smi)" ]; then
                # Check again if nvidia-smi works even if the driver installation completes successfully
                INSTALLED_DRIVER_VERSION=$(nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0)
                NVIDIA_SMI_STATUS=$?

                if [ "$NVIDIA_SMI_STATUS" -ne 0 ] && [ "$NVIDIA_SMI_STATUS" -ne 14 ]; then
                    RESET_GPU=1
                fi
            fi

            if [ "$RESET_GPU" -eq 1 ]; then
                NVIDIA_DEVICES=$(lspci -D | grep -i NVIDIA | cut -d' ' -f1)
                # The GPU can get stuck in a failure state if somehow the test crashs the GPU microcode. When this
                # happens, we'll try to reset all NVIDIA devices https://github.com/pytorch/pytorch/issues/88388
                for PCI_ID in $NVIDIA_DEVICES; do
                    DEVICE_ENABLED=$(cat /sys/bus/pci/devices/$PCI_ID/enable)

                    echo "Reseting $PCI_ID (enabled state: $DEVICE_ENABLED)"
                    # This requires sudo permission of course
                    echo "1" | sudo tee /sys/bus/pci/devices/$PCI_ID/reset
                    sleep 1
                done
            fi

            sudo rm -fv /tmp/nvidia_driver
            set -e
        fi
    )
}

post_install_nvidia_driver_common() {
    (
        sudo modprobe nvidia || true
        echo "After installing NVIDIA driver"
        lspci
        lsmod
        modinfo nvidia || true

        (
            set +e

            nvidia-smi
            # NB: Annoyingly, nvidia-smi command returns successfully with return code 0 even in
            # the case where the driver has already crashed as it still can get the driver version
            # and some basic information like the bus ID.  However, the rest of the information
            # would be missing (ERR!), for example:
            #
            # +-----------------------------------------------------------------------------+
            # | NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.0     |
            # |-------------------------------+----------------------+----------------------+
            # | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
            # | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
            # |                               |                      |               MIG M. |
            # |===============================+======================+======================|
            # |   0  ERR!                Off  | 00000000:00:1E.0 Off |                 ERR! |
            # |ERR!  ERR! ERR!    ERR! / ERR! |   4184MiB / 23028MiB |    ERR!      Default |
            # |                               |                      |                 ERR! |
            # +-------------------------------+----------------------+----------------------+
            #
            # +-----------------------------------------------------------------------------+
            # | Processes:                                                                  |
            # |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
            # |        ID   ID                                                   Usage      |
            # |=============================================================================|
            # +-----------------------------------------------------------------------------+
            #
            # This should be reported as a failure instead as it will guarantee to fail when
            # Docker tries to run with --gpus all
            #
            # So, the correct check here is to query one of the missing piece of info like
            # GPU name, so that the command can fail accordingly
            nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
            NVIDIA_SMI_STATUS=$?

            # Allowable exit statuses for nvidia-smi, see: https://github.com/NVIDIA/gpu-operator/issues/285
            if [ "$NVIDIA_SMI_STATUS" -eq 0 ] || [ "$NVIDIA_SMI_STATUS" -eq 14 ]; then
                echo "INFO: Ignoring allowed status ${NVIDIA_SMI_STATUS}"
            else
                echo "ERROR: nvidia-smi exited with unresolved status ${NVIDIA_SMI_STATUS}"
                exit ${NVIDIA_SMI_STATUS}
            fi
            set -e
        )
    )
}

install_nvidia_driver_amzn2() {
    (
        set -x
        pre_install_nvidia_driver_amzn2
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

install_nvidia_driver_ubuntu20() {
    (
        set -x
        install_nvidia_driver_common
        post_install_nvidia_driver_common
    )
}

echo "== Installing nvidia driver ${DRIVER_FN} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_driver_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_driver_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac

# Install container toolkit based on distribution
echo "== Installing nvidia container toolkit for ${DISTRIBUTION} =="
case "${DISTRIBUTION}" in
    amzn*)
        install_nvidia_docker2_amzn2
        ;;
    ubuntu20.04)
        install_nvidia_docker2_ubuntu20
        ;;
    *)
        echo "ERROR: Unknown distribution ${DISTRIBUTION}"
        exit 1
        ;;
esac
echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}"

2024-05-15T23:31:51.1476495Z   retry_wait_seconds: 10
2024-05-15T23:31:51.1476853Z   polling_interval_seconds: 1
2024-05-15T23:31:51.1477211Z   warning_on_retry: true
2024-05-15T23:31:51.1477621Z   continue_on_error: false
2024-05-15T23:31:51.1477966Z env:
2024-05-15T23:31:51.1478287Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:31:51.1478762Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:31:51.1479141Z   PR_NUMBER: 804
2024-05-15T23:31:51.1481324Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:31:51.1483599Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:31:51.1484374Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:31:51.1485117Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:31:51.1485638Z   DRIVER_VERSION: 550.54.15
2024-05-15T23:31:51.1485986Z ##[endgroup]
2024-05-15T23:31:51.2006874Z == Installing nvidia driver NVIDIA-Linux-x86_64-550.54.15.run ==
2024-05-15T23:31:51.2007808Z + pre_install_nvidia_driver_amzn2
2024-05-15T23:31:51.2008417Z + sudo yum remove -y nvidia-driver-latest-dkms
2024-05-15T23:31:51.5646625Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:31:51.6118688Z No Match for argument: nvidia-driver-latest-dkms
2024-05-15T23:31:51.6384047Z No Packages marked for removal
2024-05-15T23:31:51.6516141Z + install_nvidia_driver_common
2024-05-15T23:31:51.6518424Z + echo 'Before installing NVIDIA driver'
2024-05-15T23:31:51.6518977Z + lspci
2024-05-15T23:31:51.6519336Z Before installing NVIDIA driver
2024-05-15T23:31:51.6603148Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2024-05-15T23:31:51.6604093Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2024-05-15T23:31:51.6605001Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2024-05-15T23:31:51.6605783Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2024-05-15T23:31:51.6606523Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. Device 8061
2024-05-15T23:31:51.6607253Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2024-05-15T23:31:51.6607981Z 00:1e.0 3D controller: NVIDIA Corporation Device 2237 (rev a1)
2024-05-15T23:31:51.6608940Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2024-05-15T23:31:51.6609514Z + lsmod
2024-05-15T23:31:51.6654191Z Module                  Size  Used by
2024-05-15T23:31:51.6654764Z xt_nat                 16384  0
2024-05-15T23:31:51.6655270Z nvidia_modeset       1339392  0
2024-05-15T23:31:51.6655756Z veth                   16384  0
2024-05-15T23:31:51.6656237Z nvidia_uvm           4599808  0
2024-05-15T23:31:51.6656826Z nvidia              53989376  2 nvidia_uvm,nvidia_modeset
2024-05-15T23:31:51.6657492Z drm                   421888  1 nvidia
2024-05-15T23:31:51.6657920Z i2c_core               77824  2 nvidia,drm
2024-05-15T23:31:51.6658373Z backlight              16384  1 nvidia_modeset
2024-05-15T23:31:51.6658798Z xt_conntrack           16384  1
2024-05-15T23:31:51.6659171Z ipt_MASQUERADE         16384  1
2024-05-15T23:31:51.6659736Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2024-05-15T23:31:51.6660187Z nf_conntrack_netlink    49152  0
2024-05-15T23:31:51.6660621Z nfnetlink              16384  2 nf_conntrack_netlink
2024-05-15T23:31:51.6661083Z xfrm_user              45056  1
2024-05-15T23:31:51.6661457Z xfrm_algo              16384  1 xfrm_user
2024-05-15T23:31:51.6661862Z iptable_nat            16384  1
2024-05-15T23:31:51.6662229Z nf_conntrack_ipv4      16384  3
2024-05-15T23:31:51.6662637Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2024-05-15T23:31:51.6663107Z nf_nat_ipv4            16384  1 iptable_nat
2024-05-15T23:31:51.6663637Z nf_nat                 32768  3 nf_nat_masquerade_ipv4,nf_nat_ipv4,xt_nat
2024-05-15T23:31:51.6664599Z nf_conntrack          155648  8 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,xt_nat,nf_conntrack_netlink
2024-05-15T23:31:51.6665442Z xt_addrtype            16384  2
2024-05-15T23:31:51.6665807Z iptable_filter         16384  1
2024-05-15T23:31:51.6666183Z br_netfilter           24576  0
2024-05-15T23:31:51.6666568Z bridge                172032  1 br_netfilter
2024-05-15T23:31:51.6666999Z stp                    16384  1 bridge
2024-05-15T23:31:51.6667422Z llc                    16384  2 bridge,stp
2024-05-15T23:31:51.6667820Z overlay                86016  0
2024-05-15T23:31:51.6668180Z sunrpc                393216  1
2024-05-15T23:31:51.6668540Z dm_mirror              28672  0
2024-05-15T23:31:51.6668913Z dm_region_hash         20480  1 dm_mirror
2024-05-15T23:31:51.6669385Z dm_log                 20480  2 dm_region_hash,dm_mirror
2024-05-15T23:31:51.6669878Z dm_mod                143360  2 dm_log,dm_mirror
2024-05-15T23:31:51.6670309Z dax                    69632  1 dm_mod
2024-05-15T23:31:51.6670700Z crc32_pclmul           16384  0
2024-05-15T23:31:51.6671066Z ghash_clmulni_intel    16384  0
2024-05-15T23:31:51.6671425Z pcbc                   16384  0
2024-05-15T23:31:51.6671784Z mousedev               24576  0
2024-05-15T23:31:51.6672152Z aesni_intel           188416  0
2024-05-15T23:31:51.6672528Z aes_x86_64             20480  1 aesni_intel
2024-05-15T23:31:51.6672964Z crypto_simd            16384  1 aesni_intel
2024-05-15T23:31:51.6673412Z glue_helper            16384  1 aesni_intel
2024-05-15T23:31:51.6673943Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2024-05-15T23:31:51.6674465Z evdev                  20480  3
2024-05-15T23:31:51.6674825Z psmouse                32768  0
2024-05-15T23:31:51.6675177Z button                 16384  0
2024-05-15T23:31:51.6675528Z ena                   139264  0
2024-05-15T23:31:51.6675884Z ptp                    20480  1 ena
2024-05-15T23:31:51.6676262Z pps_core               20480  1 ptp
2024-05-15T23:31:51.6676646Z crc32c_intel           24576  0
2024-05-15T23:31:51.6677006Z autofs4                49152  2
2024-05-15T23:31:51.6677349Z + modinfo nvidia
2024-05-15T23:31:51.6708948Z filename:       /lib/modules/4.14.336-257.562.amzn2.x86_64/kernel/drivers/video/nvidia.ko
2024-05-15T23:31:51.6709957Z alias:          char-major-195-*
2024-05-15T23:31:51.6710443Z version:        550.54.15
2024-05-15T23:31:51.6710860Z supported:      external
2024-05-15T23:31:51.6711313Z license:        NVIDIA
2024-05-15T23:31:51.6711740Z firmware:       nvidia/550.54.15/gsp_tu10x.bin
2024-05-15T23:31:51.6712318Z firmware:       nvidia/550.54.15/gsp_ga10x.bin
2024-05-15T23:31:51.6712899Z srcversion:     833721318DA517F0C2FEC97
2024-05-15T23:31:51.6713499Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2024-05-15T23:31:51.6714060Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2024-05-15T23:31:51.6714541Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2024-05-15T23:31:51.6715040Z depends:        i2c-core,drm
2024-05-15T23:31:51.6715384Z retpoline:      Y
2024-05-15T23:31:51.6715681Z name:           nvidia
2024-05-15T23:31:51.6716216Z vermagic:       4.14.336-257.562.amzn2.x86_64 SMP mod_unload modversions 
2024-05-15T23:31:51.6716849Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2024-05-15T23:31:51.6717874Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2024-05-15T23:31:51.6718722Z parm:           NVreg_ResmanDebugLevel:int
2024-05-15T23:31:51.6719324Z parm:           NVreg_RmLogonRC:int
2024-05-15T23:31:51.6719914Z parm:           NVreg_ModifyDeviceFiles:int
2024-05-15T23:31:51.6720570Z parm:           NVreg_DeviceFileUID:int
2024-05-15T23:31:51.6721495Z parm:           NVreg_DeviceFileGID:int
2024-05-15T23:31:51.6722187Z parm:           NVreg_DeviceFileMode:int
2024-05-15T23:31:51.6722916Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2024-05-15T23:31:51.6723671Z parm:           NVreg_UsePageAttributeTable:int
2024-05-15T23:31:51.6724411Z parm:           NVreg_EnablePCIeGen3:int
2024-05-15T23:31:51.6724946Z parm:           NVreg_EnableMSI:int
2024-05-15T23:31:51.6725449Z parm:           NVreg_TCEBypassMode:int
2024-05-15T23:31:51.6726014Z parm:           NVreg_EnableStreamMemOPs:int
2024-05-15T23:31:51.6726758Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2024-05-15T23:31:51.6727609Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2024-05-15T23:31:51.6728208Z parm:           NVreg_EnableS0ixPowerManagement:int
2024-05-15T23:31:51.6728813Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2024-05-15T23:31:51.6729401Z parm:           NVreg_DynamicPowerManagement:int
2024-05-15T23:31:51.6730000Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2024-05-15T23:31:51.6730582Z parm:           NVreg_EnableGpuFirmware:int
2024-05-15T23:31:51.6731070Z parm:           NVreg_EnableGpuFirmwareLogs:int
2024-05-15T23:31:51.6731589Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2024-05-15T23:31:51.6732184Z parm:           NVreg_EnableUserNUMAManagement:int
2024-05-15T23:31:51.6732684Z parm:           NVreg_MemoryPoolSize:int
2024-05-15T23:31:51.6733137Z parm:           NVreg_KMallocHeapMaxSize:int
2024-05-15T23:31:51.6733609Z parm:           NVreg_VMallocHeapMaxSize:int
2024-05-15T23:31:51.6734077Z parm:           NVreg_IgnoreMMIOCheck:int
2024-05-15T23:31:51.6734512Z parm:           NVreg_NvLinkDisable:int
2024-05-15T23:31:51.6735007Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2024-05-15T23:31:51.6735528Z parm:           NVreg_RegisterPCIDriver:int
2024-05-15T23:31:51.6736012Z parm:           NVreg_EnableResizableBar:int
2024-05-15T23:31:51.6736673Z parm:           NVreg_EnableDbgBreakpoint:int
2024-05-15T23:31:51.6737395Z parm:           NVreg_EnableNonblockingOpen:int
2024-05-15T23:31:51.6738057Z parm:           NVreg_RegistryDwords:charp
2024-05-15T23:31:51.6738776Z parm:           NVreg_RegistryDwordsPerDevice:charp
2024-05-15T23:31:51.6739465Z parm:           NVreg_RmMsg:charp
2024-05-15T23:31:51.6740014Z parm:           NVreg_GpuBlacklist:charp
2024-05-15T23:31:51.6740654Z parm:           NVreg_TemporaryFilePath:charp
2024-05-15T23:31:51.6741299Z parm:           NVreg_ExcludedGpus:charp
2024-05-15T23:31:51.6741955Z parm:           NVreg_DmaRemapPeerMmio:int
2024-05-15T23:31:51.6742591Z parm:           NVreg_RmNvlinkBandwidth:charp
2024-05-15T23:31:51.6743221Z parm:           NVreg_ImexChannelCount:int
2024-05-15T23:31:51.6743802Z parm:           rm_firmware_active:charp
2024-05-15T23:31:51.6744521Z + HAS_NVIDIA_DRIVER=0
2024-05-15T23:31:51.6745051Z ++ command -v nvidia-smi
2024-05-15T23:31:51.6745558Z + '[' -x /usr/bin/nvidia-smi ']'
2024-05-15T23:31:51.6746034Z + set +e
2024-05-15T23:31:51.6746698Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2024-05-15T23:31:53.6695879Z + INSTALLED_DRIVER_VERSION=550.54.15
2024-05-15T23:31:53.6696547Z + NVIDIA_SMI_STATUS=0
2024-05-15T23:31:53.6697026Z + '[' 0 -ne 0 ']'
2024-05-15T23:31:53.6697389Z + '[' 550.54.15 '!=' 550.54.15 ']'
2024-05-15T23:31:53.6697763Z + HAS_NVIDIA_DRIVER=1
2024-05-15T23:31:53.6698467Z + echo 'NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation'
2024-05-15T23:31:53.6699154Z + set -e
2024-05-15T23:31:53.6699446Z + '[' 1 -eq 0 ']'
2024-05-15T23:31:53.6700018Z NVIDIA driver (550.54.15) has already been installed. Skipping NVIDIA driver installation
2024-05-15T23:31:53.6700982Z + post_install_nvidia_driver_common
2024-05-15T23:31:53.6701387Z + sudo modprobe nvidia
2024-05-15T23:31:53.6795119Z + echo 'After installing NVIDIA driver'
2024-05-15T23:31:53.6795535Z + lspci
2024-05-15T23:31:53.6795823Z After installing NVIDIA driver
2024-05-15T23:31:53.6877551Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2024-05-15T23:31:53.6878408Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2024-05-15T23:31:53.6879322Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2024-05-15T23:31:53.6880105Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2024-05-15T23:31:53.6881072Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. Device 8061
2024-05-15T23:31:53.6881822Z 00:05.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2024-05-15T23:31:53.6882525Z 00:1e.0 3D controller: NVIDIA Corporation Device 2237 (rev a1)
2024-05-15T23:31:53.6883324Z 00:1f.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2024-05-15T23:31:53.6883895Z + lsmod
2024-05-15T23:31:53.6892425Z Module                  Size  Used by
2024-05-15T23:31:53.6892892Z xt_nat                 16384  0
2024-05-15T23:31:53.6893386Z nvidia_modeset       1339392  0
2024-05-15T23:31:53.6893874Z veth                   16384  0
2024-05-15T23:31:53.6894359Z nvidia_uvm           4599808  0
2024-05-15T23:31:53.6894926Z nvidia              53989376  2 nvidia_uvm,nvidia_modeset
2024-05-15T23:31:53.6895571Z drm                   421888  1 nvidia
2024-05-15T23:31:53.6896121Z i2c_core               77824  2 nvidia,drm
2024-05-15T23:31:53.6896717Z backlight              16384  1 nvidia_modeset
2024-05-15T23:31:53.6897149Z xt_conntrack           16384  1
2024-05-15T23:31:53.6897516Z ipt_MASQUERADE         16384  1
2024-05-15T23:31:53.6897937Z nf_nat_masquerade_ipv4    16384  1 ipt_MASQUERADE
2024-05-15T23:31:53.6898393Z nf_conntrack_netlink    49152  0
2024-05-15T23:31:53.6898826Z nfnetlink              16384  2 nf_conntrack_netlink
2024-05-15T23:31:53.6899364Z xfrm_user              45056  1
2024-05-15T23:31:53.6899886Z xfrm_algo              16384  1 xfrm_user
2024-05-15T23:31:53.6900455Z iptable_nat            16384  1
2024-05-15T23:31:53.6900958Z nf_conntrack_ipv4      16384  3
2024-05-15T23:31:53.6901461Z nf_defrag_ipv4         16384  1 nf_conntrack_ipv4
2024-05-15T23:31:53.6902013Z nf_nat_ipv4            16384  1 iptable_nat
2024-05-15T23:31:53.6902754Z nf_nat                 32768  3 nf_nat_masquerade_ipv4,nf_nat_ipv4,xt_nat
2024-05-15T23:31:53.6904054Z nf_conntrack          155648  8 xt_conntrack,nf_nat_masquerade_ipv4,nf_conntrack_ipv4,nf_nat,ipt_MASQUERADE,nf_nat_ipv4,xt_nat,nf_conntrack_netlink
2024-05-15T23:31:53.6904990Z xt_addrtype            16384  2
2024-05-15T23:31:53.6905361Z iptable_filter         16384  1
2024-05-15T23:31:53.6905734Z br_netfilter           24576  0
2024-05-15T23:31:53.6906130Z bridge                172032  1 br_netfilter
2024-05-15T23:31:53.6906670Z stp                    16384  1 bridge
2024-05-15T23:31:53.6907081Z llc                    16384  2 bridge,stp
2024-05-15T23:31:53.6907694Z overlay                86016  0
2024-05-15T23:31:53.6908061Z sunrpc                393216  1
2024-05-15T23:31:53.6908421Z dm_mirror              28672  0
2024-05-15T23:31:53.6908807Z dm_region_hash         20480  1 dm_mirror
2024-05-15T23:31:53.6909289Z dm_log                 20480  2 dm_region_hash,dm_mirror
2024-05-15T23:31:53.6909791Z dm_mod                143360  2 dm_log,dm_mirror
2024-05-15T23:31:53.6910221Z dax                    69632  1 dm_mod
2024-05-15T23:31:53.6910612Z crc32_pclmul           16384  0
2024-05-15T23:31:53.6910981Z ghash_clmulni_intel    16384  0
2024-05-15T23:31:53.6911341Z pcbc                   16384  0
2024-05-15T23:31:53.6911700Z mousedev               24576  0
2024-05-15T23:31:53.6912063Z aesni_intel           188416  0
2024-05-15T23:31:53.6912445Z aes_x86_64             20480  1 aesni_intel
2024-05-15T23:31:53.6912970Z crypto_simd            16384  1 aesni_intel
2024-05-15T23:31:53.6913418Z glue_helper            16384  1 aesni_intel
2024-05-15T23:31:53.6913965Z cryptd                 28672  3 crypto_simd,ghash_clmulni_intel,aesni_intel
2024-05-15T23:31:53.6914493Z evdev                  20480  3
2024-05-15T23:31:53.6914851Z psmouse                32768  0
2024-05-15T23:31:53.6915202Z button                 16384  0
2024-05-15T23:31:53.6915556Z ena                   139264  0
2024-05-15T23:31:53.6917236Z ptp                    20480  1 ena
2024-05-15T23:31:53.6917722Z pps_core               20480  1 ptp
2024-05-15T23:31:53.6918105Z crc32c_intel           24576  0
2024-05-15T23:31:53.6918467Z autofs4                49152  2
2024-05-15T23:31:53.6918814Z + modinfo nvidia
2024-05-15T23:31:53.6919471Z filename:       /lib/modules/4.14.336-257.562.amzn2.x86_64/kernel/drivers/video/nvidia.ko
2024-05-15T23:31:53.6920162Z alias:          char-major-195-*
2024-05-15T23:31:53.6920534Z version:        550.54.15
2024-05-15T23:31:53.6921131Z supported:      external
2024-05-15T23:31:53.6921488Z license:        NVIDIA
2024-05-15T23:31:53.6921855Z firmware:       nvidia/550.54.15/gsp_tu10x.bin
2024-05-15T23:31:53.6922379Z firmware:       nvidia/550.54.15/gsp_ga10x.bin
2024-05-15T23:31:53.6922824Z srcversion:     833721318DA517F0C2FEC97
2024-05-15T23:31:53.6923271Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2024-05-15T23:31:53.6923758Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2024-05-15T23:31:53.6924237Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2024-05-15T23:31:53.6924708Z depends:        i2c-core,drm
2024-05-15T23:31:53.6925057Z retpoline:      Y
2024-05-15T23:31:53.6925355Z name:           nvidia
2024-05-15T23:31:53.6925883Z vermagic:       4.14.336-257.562.amzn2.x86_64 SMP mod_unload modversions 
2024-05-15T23:31:53.6926518Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2024-05-15T23:31:53.6927151Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2024-05-15T23:31:53.6927739Z parm:           NVreg_ResmanDebugLevel:int
2024-05-15T23:31:53.6928162Z parm:           NVreg_RmLogonRC:int
2024-05-15T23:31:53.6928592Z parm:           NVreg_ModifyDeviceFiles:int
2024-05-15T23:31:53.6929036Z parm:           NVreg_DeviceFileUID:int
2024-05-15T23:31:53.6929452Z parm:           NVreg_DeviceFileGID:int
2024-05-15T23:31:53.6929880Z parm:           NVreg_DeviceFileMode:int
2024-05-15T23:31:53.6930398Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2024-05-15T23:31:53.6930940Z parm:           NVreg_UsePageAttributeTable:int
2024-05-15T23:31:53.6931407Z parm:           NVreg_EnablePCIeGen3:int
2024-05-15T23:31:53.6931829Z parm:           NVreg_EnableMSI:int
2024-05-15T23:31:53.6932226Z parm:           NVreg_TCEBypassMode:int
2024-05-15T23:31:53.6932682Z parm:           NVreg_EnableStreamMemOPs:int
2024-05-15T23:31:53.6933200Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2024-05-15T23:31:53.6933764Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2024-05-15T23:31:53.6934313Z parm:           NVreg_EnableS0ixPowerManagement:int
2024-05-15T23:31:53.6934907Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2024-05-15T23:31:53.6935578Z parm:           NVreg_DynamicPowerManagement:int
2024-05-15T23:31:53.6936182Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2024-05-15T23:31:53.6936764Z parm:           NVreg_EnableGpuFirmware:int
2024-05-15T23:31:53.6937239Z parm:           NVreg_EnableGpuFirmwareLogs:int
2024-05-15T23:31:53.6937755Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2024-05-15T23:31:53.6938288Z parm:           NVreg_EnableUserNUMAManagement:int
2024-05-15T23:31:53.6938768Z parm:           NVreg_MemoryPoolSize:int
2024-05-15T23:31:53.6939222Z parm:           NVreg_KMallocHeapMaxSize:int
2024-05-15T23:31:53.6939694Z parm:           NVreg_VMallocHeapMaxSize:int
2024-05-15T23:31:53.6940145Z parm:           NVreg_IgnoreMMIOCheck:int
2024-05-15T23:31:53.6940581Z parm:           NVreg_NvLinkDisable:int
2024-05-15T23:31:53.6941136Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2024-05-15T23:31:53.6941642Z parm:           NVreg_RegisterPCIDriver:int
2024-05-15T23:31:53.6942115Z parm:           NVreg_EnableResizableBar:int
2024-05-15T23:31:53.6942589Z parm:           NVreg_EnableDbgBreakpoint:int
2024-05-15T23:31:53.6943074Z parm:           NVreg_EnableNonblockingOpen:int
2024-05-15T23:31:53.6943539Z parm:           NVreg_RegistryDwords:charp
2024-05-15T23:31:53.6944029Z parm:           NVreg_RegistryDwordsPerDevice:charp
2024-05-15T23:31:53.6944493Z parm:           NVreg_RmMsg:charp
2024-05-15T23:31:53.6944888Z parm:           NVreg_GpuBlacklist:charp
2024-05-15T23:31:53.6945341Z parm:           NVreg_TemporaryFilePath:charp
2024-05-15T23:31:53.6945807Z parm:           NVreg_ExcludedGpus:charp
2024-05-15T23:31:53.6946248Z parm:           NVreg_DmaRemapPeerMmio:int
2024-05-15T23:31:53.6946713Z parm:           NVreg_RmNvlinkBandwidth:charp
2024-05-15T23:31:53.6947182Z parm:           NVreg_ImexChannelCount:int
2024-05-15T23:31:53.6947628Z parm:           rm_firmware_active:charp
2024-05-15T23:31:53.6948019Z + set +e
2024-05-15T23:31:53.6948306Z + nvidia-smi
2024-05-15T23:31:55.2516341Z Wed May 15 23:31:55 2024       
2024-05-15T23:31:55.2517222Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:31:55.2518369Z | NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |
2024-05-15T23:31:55.2519170Z |-----------------------------------------+------------------------+----------------------+
2024-05-15T23:31:55.2519955Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2024-05-15T23:31:55.2520813Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2024-05-15T23:31:55.2521694Z |                                         |                        |               MIG M. |
2024-05-15T23:31:55.2522238Z |=========================================+========================+======================|
2024-05-15T23:31:55.2650814Z |   0  NVIDIA A10G                    Off |   00000000:00:1E.0 Off |                    0 |
2024-05-15T23:31:55.2651525Z |  0%   29C    P0             59W /  300W |       0MiB /  23028MiB |      0%      Default |
2024-05-15T23:31:55.2652142Z |                                         |                        |                  N/A |
2024-05-15T23:31:55.2652801Z +-----------------------------------------+------------------------+----------------------+
2024-05-15T23:31:55.2653466Z                                                                                          
2024-05-15T23:31:55.2654124Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:31:55.2654743Z | Processes:                                                                              |
2024-05-15T23:31:55.2655428Z |  GPU   GI   CI        PID   Type   Process name                              GPU Memory |
2024-05-15T23:31:55.2656106Z |        ID   ID                                                               Usage      |
2024-05-15T23:31:55.2656858Z |=========================================================================================|
2024-05-15T23:31:55.2657498Z |  No running processes found                                                             |
2024-05-15T23:31:55.2658225Z +-----------------------------------------------------------------------------------------+
2024-05-15T23:31:55.8725378Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2024-05-15T23:31:57.4489196Z NVIDIA A10G
2024-05-15T23:31:57.8942808Z + NVIDIA_SMI_STATUS=0
2024-05-15T23:31:57.8943525Z + '[' 0 -eq 0 ']'
2024-05-15T23:31:57.8943990Z + echo 'INFO: Ignoring allowed status 0'
2024-05-15T23:31:57.8944488Z + set -e
2024-05-15T23:31:57.8944843Z INFO: Ignoring allowed status 0
2024-05-15T23:31:57.8946732Z == Installing nvidia container toolkit for amzn2 ==
2024-05-15T23:31:57.8949478Z + sudo yum install -y yum-utils
2024-05-15T23:31:58.2109048Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:31:59.6823998Z Package yum-utils-1.1.31-46.amzn2.0.1.noarch already installed and latest version
2024-05-15T23:31:59.6825341Z Nothing to do
2024-05-15T23:31:59.8292603Z + sudo yum-config-manager --add-repo https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2024-05-15T23:32:00.1592762Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:32:00.1882916Z adding repo from: https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo
2024-05-15T23:32:00.1884092Z grabbing file https://nvidia.github.io/nvidia-docker/amzn2/nvidia-docker.repo to /etc/yum.repos.d/nvidia-docker.repo
2024-05-15T23:32:00.1885027Z repo saved to /etc/yum.repos.d/nvidia-docker.repo
2024-05-15T23:32:00.1998151Z + sudo yum install -y nvidia-docker2
2024-05-15T23:32:00.5157065Z Loaded plugins: extras_suggestions, langpacks, priorities, update-motd
2024-05-15T23:32:01.9840107Z Package nvidia-docker2-2.13.0-1.noarch already installed and latest version
2024-05-15T23:32:01.9840770Z Nothing to do
2024-05-15T23:32:02.1316691Z + sudo systemctl restart docker
2024-05-15T23:32:03.2074314Z Command completed after 1 attempt(s).
2024-05-15T23:32:03.2136649Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:32:03.2137408Z # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:32:03.2137996Z # shellcheck disable=SC2046
2024-05-15T23:32:03.2138447Z docker stop $(docker ps -q) || true
2024-05-15T23:32:03.2138912Z # Prune all of the docker images
2024-05-15T23:32:03.2139356Z docker system prune -af
2024-05-15T23:32:03.2147015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:32:03.2147496Z env:
2024-05-15T23:32:03.2147817Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:03.2148273Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:32:03.2148649Z   PR_NUMBER: 804
2024-05-15T23:32:03.2150648Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:32:03.2152884Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:32:03.2153646Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:32:03.2154353Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:32:03.2154967Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:32:03.2155440Z ##[endgroup]
2024-05-15T23:32:03.2456156Z "docker stop" requires at least 1 argument.
2024-05-15T23:32:03.2457155Z See 'docker stop --help'.
2024-05-15T23:32:03.2457483Z 
2024-05-15T23:32:03.2457754Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2024-05-15T23:32:03.2458128Z 
2024-05-15T23:32:03.2458478Z Stop one or more running containers
2024-05-15T23:32:03.2635463Z Total reclaimed space: 0B
2024-05-15T23:32:03.2695683Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2024-05-15T23:32:03.2696223Z with:
2024-05-15T23:32:03.2697138Z   github-secret: ***
2024-05-15T23:32:03.2697556Z   activate-with-label: false
2024-05-15T23:32:03.2697991Z   label: with-ssh
2024-05-15T23:32:03.2698381Z   remove-existing-keys: true
2024-05-15T23:32:03.2698808Z env:
2024-05-15T23:32:03.2699198Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:03.2699734Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:32:03.2700175Z   PR_NUMBER: 804
2024-05-15T23:32:03.2702244Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:32:03.2704734Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:32:03.2705619Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:32:03.2706417Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:32:03.2707107Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:32:03.2721767Z ##[endgroup]
2024-05-15T23:32:03.3472014Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2024-05-15T23:32:03.4622086Z ##[warning]Failed to get author of PR https://github.com/pytorch/torchchat/pull/804: HttpError: Resource not accessible by integration
2024-05-15T23:32:03.4630243Z ##[warning]Returning mikekgfb instead
2024-05-15T23:32:03.4631444Z Grabbing public ssh keys from https://github.com/mikekgfb.keys
2024-05-15T23:32:03.5359862Z No SSH keys found for user mikekgfb
2024-05-15T23:32:03.5360641Z Grabbing public ssh keys from https://github.com/mikekgfb.keys
2024-05-15T23:32:03.6078322Z No SSH keys found for user mikekgfb
2024-05-15T23:32:03.6186332Z ##[group]Run actions/checkout@v3
2024-05-15T23:32:03.6186718Z with:
2024-05-15T23:32:03.6187009Z   repository: pytorch/torchchat
2024-05-15T23:32:03.6187390Z   ref: refs/pull/804/merge
2024-05-15T23:32:03.6187747Z   path: pytorch/torchchat
2024-05-15T23:32:03.6188091Z   fetch-depth: 1
2024-05-15T23:32:03.6188506Z   token: ***
2024-05-15T23:32:03.6188796Z   ssh-strict: true
2024-05-15T23:32:03.6189121Z   persist-credentials: true
2024-05-15T23:32:03.6189462Z   clean: true
2024-05-15T23:32:03.6189790Z   sparse-checkout-cone-mode: true
2024-05-15T23:32:03.6190191Z   fetch-tags: false
2024-05-15T23:32:03.6190488Z   lfs: false
2024-05-15T23:32:03.6190806Z   set-safe-directory: true
2024-05-15T23:32:03.6191141Z env:
2024-05-15T23:32:03.6191450Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:03.6191909Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:32:03.6192284Z   PR_NUMBER: 804
2024-05-15T23:32:03.6194313Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:32:03.6196555Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:32:03.6197381Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:32:03.6198110Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:32:03.6198728Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:32:03.6199213Z ##[endgroup]
2024-05-15T23:32:03.7024466Z Syncing repository: pytorch/torchchat
2024-05-15T23:32:03.7033441Z ##[group]Getting Git version info
2024-05-15T23:32:03.7034531Z Working directory is '/home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat'
2024-05-15T23:32:03.7055384Z [command]/usr/bin/git version
2024-05-15T23:32:03.7093532Z git version 2.40.1
2024-05-15T23:32:03.7114783Z ##[endgroup]
2024-05-15T23:32:03.7124007Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/5633cd8a-9b62-4b4f-bc48-3e4697e9fe19/.gitconfig'
2024-05-15T23:32:03.7135999Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/5633cd8a-9b62-4b4f-bc48-3e4697e9fe19' before making global git config changes
2024-05-15T23:32:03.7137297Z Adding repository directory to the temporary git global config as a safe directory
2024-05-15T23:32:03.7140693Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat
2024-05-15T23:32:03.7169769Z ##[group]Initializing the repository
2024-05-15T23:32:03.7173665Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat
2024-05-15T23:32:03.7192739Z hint: Using 'master' as the name for the initial branch. This default branch name
2024-05-15T23:32:03.7193684Z hint: is subject to change. To configure the initial branch name to use in all
2024-05-15T23:32:03.7194554Z hint: of your new repositories, which will suppress this warning, call:
2024-05-15T23:32:03.7195182Z hint: 
2024-05-15T23:32:03.7195660Z hint: 	git config --global init.defaultBranch <name>
2024-05-15T23:32:03.7196193Z hint: 
2024-05-15T23:32:03.7196757Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2024-05-15T23:32:03.7197768Z hint: 'development'. The just-created branch can be renamed via this command:
2024-05-15T23:32:03.7198421Z hint: 
2024-05-15T23:32:03.7198816Z hint: 	git branch -m <name>
2024-05-15T23:32:03.7199742Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat/.git/
2024-05-15T23:32:03.7201768Z [command]/usr/bin/git remote add origin https://github.com/pytorch/torchchat
2024-05-15T23:32:03.7221367Z ##[endgroup]
2024-05-15T23:32:03.7222048Z ##[group]Disabling automatic garbage collection
2024-05-15T23:32:03.7223818Z [command]/usr/bin/git config --local gc.auto 0
2024-05-15T23:32:03.7247332Z ##[endgroup]
2024-05-15T23:32:03.7247965Z ##[group]Setting up auth
2024-05-15T23:32:03.7252574Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-05-15T23:32:03.7276448Z [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' || :"
2024-05-15T23:32:03.7464763Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-05-15T23:32:03.7485669Z [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' || :"
2024-05-15T23:32:03.7684369Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2024-05-15T23:32:03.7727451Z ##[endgroup]
2024-05-15T23:32:03.7728100Z ##[group]Fetching the repository
2024-05-15T23:32:03.7734621Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --progress --no-recurse-submodules --depth=1 origin +refs/pull/804/merge:refs/remotes/pull/804/merge
2024-05-15T23:32:04.0260595Z remote: Enumerating objects: 242, done.        
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2024-05-15T23:32:04.0325900Z remote: Counting objects: 100% (242/242), done.        
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2024-05-15T23:32:04.0438415Z remote: Compressing objects:  69% (140/202)        
2024-05-15T23:32:04.0439186Z remote: Compressing objects:  70% (142/202)        
2024-05-15T23:32:04.0439693Z remote: Compressing objects:  71% (144/202)        
2024-05-15T23:32:04.0440208Z remote: Compressing objects:  72% (146/202)        
2024-05-15T23:32:04.0440714Z remote: Compressing objects:  73% (148/202)        
2024-05-15T23:32:04.0443252Z remote: Compressing objects:  74% (150/202)        
2024-05-15T23:32:04.0447552Z remote: Compressing objects:  75% (152/202)        
2024-05-15T23:32:04.0448104Z remote: Compressing objects:  76% (154/202)        
2024-05-15T23:32:04.0448616Z remote: Compressing objects:  77% (156/202)        
2024-05-15T23:32:04.0450044Z remote: Compressing objects:  78% (158/202)        
2024-05-15T23:32:04.0451711Z remote: Compressing objects:  79% (160/202)        
2024-05-15T23:32:04.0453882Z remote: Compressing objects:  80% (162/202)        
2024-05-15T23:32:04.0454534Z remote: Compressing objects:  81% (164/202)        
2024-05-15T23:32:04.0455055Z remote: Compressing objects:  82% (166/202)        
2024-05-15T23:32:04.0455740Z remote: Compressing objects:  83% (168/202)        
2024-05-15T23:32:04.0456433Z remote: Compressing objects:  84% (170/202)        
2024-05-15T23:32:04.0457097Z remote: Compressing objects:  85% (172/202)        
2024-05-15T23:32:04.0457688Z remote: Compressing objects:  86% (174/202)        
2024-05-15T23:32:04.0458326Z remote: Compressing objects:  87% (176/202)        
2024-05-15T23:32:04.0458832Z remote: Compressing objects:  88% (178/202)        
2024-05-15T23:32:04.0459341Z remote: Compressing objects:  89% (180/202)        
2024-05-15T23:32:04.0459849Z remote: Compressing objects:  90% (182/202)        
2024-05-15T23:32:04.0460348Z remote: Compressing objects:  91% (184/202)        
2024-05-15T23:32:04.0460864Z remote: Compressing objects:  92% (186/202)        
2024-05-15T23:32:04.0461372Z remote: Compressing objects:  93% (188/202)        
2024-05-15T23:32:04.0461878Z remote: Compressing objects:  94% (190/202)        
2024-05-15T23:32:04.0462385Z remote: Compressing objects:  95% (192/202)        
2024-05-15T23:32:04.0462898Z remote: Compressing objects:  96% (194/202)        
2024-05-15T23:32:04.0463393Z remote: Compressing objects:  97% (196/202)        
2024-05-15T23:32:04.0463898Z remote: Compressing objects:  98% (198/202)        
2024-05-15T23:32:04.0464410Z remote: Compressing objects:  99% (200/202)        
2024-05-15T23:32:04.0464912Z remote: Compressing objects: 100% (202/202)        
2024-05-15T23:32:04.0465457Z remote: Compressing objects: 100% (202/202), done.        
2024-05-15T23:32:04.0481249Z Receiving objects:   0% (1/242)
2024-05-15T23:32:04.0481793Z Receiving objects:   1% (3/242)
2024-05-15T23:32:04.0482590Z Receiving objects:   2% (5/242)
2024-05-15T23:32:04.0484142Z Receiving objects:   3% (8/242)
2024-05-15T23:32:04.0484849Z Receiving objects:   4% (10/242)
2024-05-15T23:32:04.0485366Z Receiving objects:   5% (13/242)
2024-05-15T23:32:04.0487957Z Receiving objects:   6% (15/242)
2024-05-15T23:32:04.0488725Z Receiving objects:   7% (17/242)
2024-05-15T23:32:04.0489565Z Receiving objects:   8% (20/242)
2024-05-15T23:32:04.0490100Z Receiving objects:   9% (22/242)
2024-05-15T23:32:04.0490540Z Receiving objects:  10% (25/242)
2024-05-15T23:32:04.0490915Z Receiving objects:  11% (27/242)
2024-05-15T23:32:04.0495469Z Receiving objects:  12% (30/242)
2024-05-15T23:32:04.0497565Z Receiving objects:  13% (32/242)
2024-05-15T23:32:04.0500802Z Receiving objects:  14% (34/242)
2024-05-15T23:32:04.0501402Z Receiving objects:  15% (37/242)
2024-05-15T23:32:04.0501997Z Receiving objects:  16% (39/242)
2024-05-15T23:32:04.0502414Z Receiving objects:  17% (42/242)
2024-05-15T23:32:04.0502796Z Receiving objects:  18% (44/242)
2024-05-15T23:32:04.0503179Z Receiving objects:  19% (46/242)
2024-05-15T23:32:04.0503551Z Receiving objects:  20% (49/242)
2024-05-15T23:32:04.0503937Z Receiving objects:  21% (51/242)
2024-05-15T23:32:04.0504312Z Receiving objects:  22% (54/242)
2024-05-15T23:32:04.0509374Z Receiving objects:  23% (56/242)
2024-05-15T23:32:04.0509913Z Receiving objects:  24% (59/242)
2024-05-15T23:32:04.0510290Z Receiving objects:  25% (61/242)
2024-05-15T23:32:04.0513751Z Receiving objects:  26% (63/242)
2024-05-15T23:32:04.0514352Z Receiving objects:  27% (66/242)
2024-05-15T23:32:04.0514891Z Receiving objects:  28% (68/242)
2024-05-15T23:32:04.0515280Z Receiving objects:  29% (71/242)
2024-05-15T23:32:04.0515655Z Receiving objects:  30% (73/242)
2024-05-15T23:32:04.0516044Z Receiving objects:  31% (76/242)
2024-05-15T23:32:04.0516423Z Receiving objects:  32% (78/242)
2024-05-15T23:32:04.0528227Z Receiving objects:  33% (80/242)
2024-05-15T23:32:04.0528822Z Receiving objects:  34% (83/242)
2024-05-15T23:32:04.0529405Z Receiving objects:  35% (85/242)
2024-05-15T23:32:04.0541436Z Receiving objects:  36% (88/242)
2024-05-15T23:32:04.0542068Z Receiving objects:  37% (90/242)
2024-05-15T23:32:04.0542670Z Receiving objects:  38% (92/242)
2024-05-15T23:32:04.0543266Z Receiving objects:  39% (95/242)
2024-05-15T23:32:04.0543859Z Receiving objects:  40% (97/242)
2024-05-15T23:32:04.0544480Z Receiving objects:  41% (100/242)
2024-05-15T23:32:04.0545099Z Receiving objects:  42% (102/242)
2024-05-15T23:32:04.0545488Z Receiving objects:  43% (105/242)
2024-05-15T23:32:04.0545877Z Receiving objects:  44% (107/242)
2024-05-15T23:32:04.0546260Z Receiving objects:  45% (109/242)
2024-05-15T23:32:04.0546752Z Receiving objects:  46% (112/242)
2024-05-15T23:32:04.0571967Z Receiving objects:  47% (114/242)
2024-05-15T23:32:04.0572562Z Receiving objects:  48% (117/242)
2024-05-15T23:32:04.0573124Z Receiving objects:  49% (119/242)
2024-05-15T23:32:04.0575292Z Receiving objects:  50% (121/242)
2024-05-15T23:32:04.0577320Z Receiving objects:  51% (124/242)
2024-05-15T23:32:04.0579329Z Receiving objects:  52% (126/242)
2024-05-15T23:32:04.0579787Z Receiving objects:  53% (129/242)
2024-05-15T23:32:04.0580175Z Receiving objects:  54% (131/242)
2024-05-15T23:32:04.0580564Z Receiving objects:  55% (134/242)
2024-05-15T23:32:04.0580938Z Receiving objects:  56% (136/242)
2024-05-15T23:32:04.0585064Z Receiving objects:  57% (138/242)
2024-05-15T23:32:04.0585947Z Receiving objects:  58% (141/242)
2024-05-15T23:32:04.0587572Z Receiving objects:  59% (143/242)
2024-05-15T23:32:04.0588187Z Receiving objects:  60% (146/242)
2024-05-15T23:32:04.0588738Z Receiving objects:  61% (148/242)
2024-05-15T23:32:04.0589322Z Receiving objects:  62% (151/242)
2024-05-15T23:32:04.0592189Z Receiving objects:  63% (153/242)
2024-05-15T23:32:04.0593035Z Receiving objects:  64% (155/242)
2024-05-15T23:32:04.0593615Z Receiving objects:  65% (158/242)
2024-05-15T23:32:04.0595989Z Receiving objects:  66% (160/242)
2024-05-15T23:32:04.0599740Z Receiving objects:  67% (163/242)
2024-05-15T23:32:04.0600337Z Receiving objects:  68% (165/242)
2024-05-15T23:32:04.0601947Z Receiving objects:  69% (167/242)
2024-05-15T23:32:04.0605136Z Receiving objects:  70% (170/242)
2024-05-15T23:32:04.0607319Z Receiving objects:  71% (172/242)
2024-05-15T23:32:04.0609945Z Receiving objects:  72% (175/242)
2024-05-15T23:32:04.0613090Z Receiving objects:  73% (177/242)
2024-05-15T23:32:04.0613702Z Receiving objects:  74% (180/242)
2024-05-15T23:32:04.0614247Z Receiving objects:  75% (182/242)
2024-05-15T23:32:04.0614825Z Receiving objects:  76% (184/242)
2024-05-15T23:32:04.0616726Z Receiving objects:  77% (187/242)
2024-05-15T23:32:04.0619929Z Receiving objects:  78% (189/242)
2024-05-15T23:32:04.0620494Z Receiving objects:  79% (192/242)
2024-05-15T23:32:04.0621081Z Receiving objects:  80% (194/242)
2024-05-15T23:32:04.0621634Z Receiving objects:  81% (197/242)
2024-05-15T23:32:04.0625207Z Receiving objects:  82% (199/242)
2024-05-15T23:32:04.0626099Z Receiving objects:  83% (201/242)
2024-05-15T23:32:04.0626906Z Receiving objects:  84% (204/242)
2024-05-15T23:32:04.0628634Z Receiving objects:  85% (206/242)
2024-05-15T23:32:04.0629209Z Receiving objects:  86% (209/242)
2024-05-15T23:32:04.0630283Z remote: Total 242 (delta 16), reused 141 (delta 3), pack-reused 0        
2024-05-15T23:32:04.0631152Z Receiving objects:  87% (211/242)
2024-05-15T23:32:04.0631883Z Receiving objects:  88% (213/242)
2024-05-15T23:32:04.0632477Z Receiving objects:  89% (216/242)
2024-05-15T23:32:04.0633047Z Receiving objects:  90% (218/242)
2024-05-15T23:32:04.0634564Z Receiving objects:  91% (221/242)
2024-05-15T23:32:04.0635564Z Receiving objects:  92% (223/242)
2024-05-15T23:32:04.0636144Z Receiving objects:  93% (226/242)
2024-05-15T23:32:04.0636694Z Receiving objects:  94% (228/242)
2024-05-15T23:32:04.0637277Z Receiving objects:  95% (230/242)
2024-05-15T23:32:04.0637967Z Receiving objects:  96% (233/242)
2024-05-15T23:32:04.0639058Z Receiving objects:  97% (235/242)
2024-05-15T23:32:04.0642611Z Receiving objects:  98% (238/242)
2024-05-15T23:32:04.0643173Z Receiving objects:  99% (240/242)
2024-05-15T23:32:04.0643704Z Receiving objects: 100% (242/242)
2024-05-15T23:32:04.0644327Z Receiving objects: 100% (242/242), 318.88 KiB | 19.93 MiB/s, done.
2024-05-15T23:32:04.0648981Z Resolving deltas:   0% (0/16)
2024-05-15T23:32:04.0649523Z Resolving deltas:   6% (1/16)
2024-05-15T23:32:04.0649924Z Resolving deltas:  12% (2/16)
2024-05-15T23:32:04.0650452Z Resolving deltas:  18% (3/16)
2024-05-15T23:32:04.0651046Z Resolving deltas:  25% (4/16)
2024-05-15T23:32:04.0651641Z Resolving deltas:  31% (5/16)
2024-05-15T23:32:04.0652176Z Resolving deltas:  37% (6/16)
2024-05-15T23:32:04.0652960Z Resolving deltas:  43% (7/16)
2024-05-15T23:32:04.0653538Z Resolving deltas:  50% (8/16)
2024-05-15T23:32:04.0653913Z Resolving deltas:  56% (9/16)
2024-05-15T23:32:04.0654363Z Resolving deltas:  62% (10/16)
2024-05-15T23:32:04.0654935Z Resolving deltas:  68% (11/16)
2024-05-15T23:32:04.0655526Z Resolving deltas:  75% (12/16)
2024-05-15T23:32:04.0655946Z Resolving deltas:  87% (14/16)
2024-05-15T23:32:04.0656325Z Resolving deltas:  93% (15/16)
2024-05-15T23:32:04.0659613Z Resolving deltas: 100% (16/16)
2024-05-15T23:32:04.0660000Z Resolving deltas: 100% (16/16), done.
2024-05-15T23:32:04.0753992Z From https://github.com/pytorch/torchchat
2024-05-15T23:32:04.0754659Z  * [new ref]         refs/pull/804/merge -> pull/804/merge
2024-05-15T23:32:04.0769980Z ##[endgroup]
2024-05-15T23:32:04.0770524Z ##[group]Determining the checkout info
2024-05-15T23:32:04.0772305Z ##[endgroup]
2024-05-15T23:32:04.0772813Z ##[group]Checking out the ref
2024-05-15T23:32:04.0776183Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/804/merge
2024-05-15T23:32:04.0875472Z Note: switching to 'refs/remotes/pull/804/merge'.
2024-05-15T23:32:04.0875887Z 
2024-05-15T23:32:04.0876407Z You are in 'detached HEAD' state. You can look around, make experimental
2024-05-15T23:32:04.0877424Z changes and commit them, and you can discard any commits you make in this
2024-05-15T23:32:04.0878170Z state without impacting any branches by switching back to a branch.
2024-05-15T23:32:04.0878614Z 
2024-05-15T23:32:04.0879012Z If you want to create a new branch to retain commits you create, you may
2024-05-15T23:32:04.0879984Z do so (now or later) by using -c with the switch command. Example:
2024-05-15T23:32:04.0880415Z 
2024-05-15T23:32:04.0880600Z   git switch -c <new-branch-name>
2024-05-15T23:32:04.0881394Z 
2024-05-15T23:32:04.0881536Z Or undo this operation with:
2024-05-15T23:32:04.0881786Z 
2024-05-15T23:32:04.0881901Z   git switch -
2024-05-15T23:32:04.0882078Z 
2024-05-15T23:32:04.0882424Z Turn off this advice by setting config variable advice.detachedHead to false
2024-05-15T23:32:04.0882907Z 
2024-05-15T23:32:04.0883409Z HEAD is now at 0675758 Merge 5afec79d2a21e03d2f27855b184e97600186532c into db12669870c44a9aabc3376566b2503bd1dafcae
2024-05-15T23:32:04.0884795Z ##[endgroup]
2024-05-15T23:32:04.0905410Z [command]/usr/bin/git log -1 --format='%H'
2024-05-15T23:32:04.0921290Z '0675758ce54b35cb210ea6a9f57b121669315979'
2024-05-15T23:32:04.1090708Z Prepare all required actions
2024-05-15T23:32:04.1242578Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2024-05-15T23:32:04.1243085Z with:
2024-05-15T23:32:04.1243422Z   docker-image-name: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1244040Z   docker-build-dir: .ci/docker
2024-05-15T23:32:04.1244421Z   working-directory: pytorch/torchchat
2024-05-15T23:32:04.1244959Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:32:04.1245523Z   force-push: false
2024-05-15T23:32:04.1245809Z env:
2024-05-15T23:32:04.1246132Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1246595Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:32:04.1246963Z   PR_NUMBER: 804
2024-05-15T23:32:04.1249010Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:32:04.1251259Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:32:04.1252028Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:32:04.1252746Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:32:04.1253360Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:32:04.1253826Z ##[endgroup]
2024-05-15T23:32:04.1272188Z ##[group]Run set -ex
2024-05-15T23:32:04.1272538Z set -ex
2024-05-15T23:32:04.1272816Z 
2024-05-15T23:32:04.1273361Z # If the docker build directory or the build script doesn't exist, the action will
2024-05-15T23:32:04.1274306Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2024-05-15T23:32:04.1275110Z # job could then download the pre-built image as usual
2024-05-15T23:32:04.1275839Z if [[ ! -d "${DOCKER_BUILD_DIR}" ]] || [[ ! -f "${DOCKER_BUILD_DIR}/build.sh" ]]; then
2024-05-15T23:32:04.1276512Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2024-05-15T23:32:04.1277151Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:32:04.1277784Z 
2024-05-15T23:32:04.1278287Z   echo "There is no Docker build script in ${REPO_NAME} repo, skipping..."
2024-05-15T23:32:04.1278893Z   exit 0
2024-05-15T23:32:04.1279174Z else
2024-05-15T23:32:04.1279529Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2024-05-15T23:32:04.1279973Z fi
2024-05-15T23:32:04.1280227Z 
2024-05-15T23:32:04.1280676Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2024-05-15T23:32:04.1281756Z   # The docker image name already includes the ECR prefix and tag, so we can just
2024-05-15T23:32:04.1282525Z   # use it as it is, but first let's extract the tag
2024-05-15T23:32:04.1283208Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2024-05-15T23:32:04.1283913Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:32:04.1284604Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:32:04.1285156Z else
2024-05-15T23:32:04.1285582Z   DOCKER_TAG=$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2024-05-15T23:32:04.1286241Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:32:04.1287122Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:32:04.1287848Z fi
2024-05-15T23:32:04.1295579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:32:04.1296066Z env:
2024-05-15T23:32:04.1296477Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1296970Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:32:04.1297356Z   PR_NUMBER: 804
2024-05-15T23:32:04.1299648Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:32:04.1301951Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:32:04.1302713Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:32:04.1303432Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:32:04.1304030Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:32:04.1304518Z   REPO_NAME: torchchat
2024-05-15T23:32:04.1304908Z   DOCKER_IMAGE_NAME: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1305377Z   DOCKER_BUILD_DIR: .ci/docker
2024-05-15T23:32:04.1305854Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:32:04.1306366Z ##[endgroup]
2024-05-15T23:32:04.1326851Z + [[ ! -d .ci/docker ]]
2024-05-15T23:32:04.1327188Z + echo skip=true
2024-05-15T23:32:04.1327861Z + echo docker-image=pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1328565Z + echo 'There is no Docker build script in torchchat repo, skipping...'
2024-05-15T23:32:04.1329267Z There is no Docker build script in torchchat repo, skipping...
2024-05-15T23:32:04.1329794Z + exit 0
2024-05-15T23:32:04.1441309Z Prepare all required actions
2024-05-15T23:32:04.1477008Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2024-05-15T23:32:04.1477609Z with:
2024-05-15T23:32:04.1477943Z   docker-image: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1478500Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:32:04.1479003Z env:
2024-05-15T23:32:04.1479319Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1479765Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:32:04.1480135Z   PR_NUMBER: 804
2024-05-15T23:32:04.1482417Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:32:04.1484705Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:32:04.1485513Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:32:04.1486255Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:32:04.1486878Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:32:04.1487354Z ##[endgroup]
2024-05-15T23:32:04.1503892Z ##[group]Run set -x
2024-05-15T23:32:04.1504226Z set -x
2024-05-15T23:32:04.1504517Z set +e
2024-05-15T23:32:04.1504811Z 
2024-05-15T23:32:04.1505083Z login() {
2024-05-15T23:32:04.1505733Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2024-05-15T23:32:04.1506443Z }
2024-05-15T23:32:04.1506709Z 
2024-05-15T23:32:04.1506978Z retry () {
2024-05-15T23:32:04.1507369Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2024-05-15T23:32:04.1507813Z }
2024-05-15T23:32:04.1508083Z 
2024-05-15T23:32:04.1508401Z retry login "${DOCKER_REGISTRY}"
2024-05-15T23:32:04.1508807Z 
2024-05-15T23:32:04.1509074Z set -e
2024-05-15T23:32:04.1509546Z # ignore output since only exit code is used for conditional
2024-05-15T23:32:04.1510236Z # only pull docker image if it's not available locally
2024-05-15T23:32:04.1510989Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2024-05-15T23:32:04.1511680Z   retry docker pull "${DOCKER_IMAGE}"
2024-05-15T23:32:04.1512211Z fi
2024-05-15T23:32:04.1519582Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:32:04.1520068Z env:
2024-05-15T23:32:04.1520378Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.1521000Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:32:04.1521379Z   PR_NUMBER: 804
2024-05-15T23:32:04.1523387Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:32:04.1525632Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:32:04.1526391Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:32:04.1527122Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:32:04.1527744Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:32:04.1528343Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:32:04.1528862Z ##[endgroup]
2024-05-15T23:32:04.1550055Z + set +e
2024-05-15T23:32:04.1550742Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:32:04.1551375Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:32:04.1552453Z + aws ecr get-login-password --region us-east-1
2024-05-15T23:32:04.1553187Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2024-05-15T23:32:04.5951611Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2024-05-15T23:32:04.5952542Z Configure a credential helper to remove this warning. See
2024-05-15T23:32:04.5953642Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2024-05-15T23:32:04.5954373Z 
2024-05-15T23:32:04.5954520Z Login Succeeded
2024-05-15T23:32:04.5965760Z + set -e
2024-05-15T23:32:04.5966391Z + docker inspect --type=image pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.6111844Z + retry docker pull pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.6112495Z + docker pull pytorch/conda-builder:cuda12.1
2024-05-15T23:32:04.7969065Z cuda12.1: Pulling from pytorch/conda-builder
2024-05-15T23:32:04.7974616Z 2d473b07cdd5: Pulling fs layer
2024-05-15T23:32:04.7975175Z bcb41e0a6c79: Pulling fs layer
2024-05-15T23:32:04.7975687Z cf840f748311: Pulling fs layer
2024-05-15T23:32:04.7976156Z 716e37aeaebd: Pulling fs layer
2024-05-15T23:32:04.7976648Z 26102e172763: Pulling fs layer
2024-05-15T23:32:04.7977026Z f22bd6818f48: Pulling fs layer
2024-05-15T23:32:04.7977513Z 6b9efdae7507: Pulling fs layer
2024-05-15T23:32:04.7978011Z 38cebe59a028: Pulling fs layer
2024-05-15T23:32:04.7978492Z be3530973190: Pulling fs layer
2024-05-15T23:32:04.7978848Z c1abeb582c1a: Pulling fs layer
2024-05-15T23:32:04.7979277Z f2754d996029: Pulling fs layer
2024-05-15T23:32:04.7979637Z d4abe1a37696: Pulling fs layer
2024-05-15T23:32:04.7980001Z ffa9ecd4a5aa: Pulling fs layer
2024-05-15T23:32:04.7980381Z 30a9fd1610c3: Pulling fs layer
2024-05-15T23:32:04.7980763Z 6a123a6dec9d: Pulling fs layer
2024-05-15T23:32:04.7981123Z b843a4702cbe: Pulling fs layer
2024-05-15T23:32:04.7981497Z a03032e01a4f: Pulling fs layer
2024-05-15T23:32:04.7981856Z e5f4ea5256df: Pulling fs layer
2024-05-15T23:32:04.7982215Z 3e74cc4aca2f: Pulling fs layer
2024-05-15T23:32:04.7982580Z 5deb332f00f2: Pulling fs layer
2024-05-15T23:32:04.7982941Z 145717b5edc0: Pulling fs layer
2024-05-15T23:32:04.7983299Z 122da0886b25: Pulling fs layer
2024-05-15T23:32:04.7983656Z c1abeb582c1a: Waiting
2024-05-15T23:32:04.7983963Z 6a123a6dec9d: Waiting
2024-05-15T23:32:04.7984263Z b843a4702cbe: Waiting
2024-05-15T23:32:04.7984572Z f2754d996029: Waiting
2024-05-15T23:32:04.7984886Z 122da0886b25: Waiting
2024-05-15T23:32:04.7985181Z 26102e172763: Waiting
2024-05-15T23:32:04.7985659Z 145717b5edc0: Waiting
2024-05-15T23:32:04.7985964Z 38cebe59a028: Waiting
2024-05-15T23:32:04.7986268Z d4abe1a37696: Waiting
2024-05-15T23:32:04.7986576Z ffa9ecd4a5aa: Waiting
2024-05-15T23:32:04.7986883Z 30a9fd1610c3: Waiting
2024-05-15T23:32:04.7987183Z e5f4ea5256df: Waiting
2024-05-15T23:32:04.7987489Z 6b9efdae7507: Waiting
2024-05-15T23:32:04.7987811Z be3530973190: Waiting
2024-05-15T23:32:04.7988108Z 5deb332f00f2: Waiting
2024-05-15T23:32:04.7988418Z 3e74cc4aca2f: Waiting
2024-05-15T23:32:04.7988732Z f22bd6818f48: Waiting
2024-05-15T23:32:05.5707395Z cf840f748311: Verifying Checksum
2024-05-15T23:32:05.5707933Z cf840f748311: Download complete
2024-05-15T23:32:05.5814807Z 2d473b07cdd5: Verifying Checksum
2024-05-15T23:32:05.5815648Z 2d473b07cdd5: Download complete
2024-05-15T23:32:05.6246480Z 716e37aeaebd: Verifying Checksum
2024-05-15T23:32:05.6247119Z 716e37aeaebd: Download complete
2024-05-15T23:32:05.7144295Z f22bd6818f48: Verifying Checksum
2024-05-15T23:32:05.7144916Z f22bd6818f48: Download complete
2024-05-15T23:32:06.1507175Z 26102e172763: Verifying Checksum
2024-05-15T23:32:06.1507780Z 26102e172763: Download complete
2024-05-15T23:32:06.2142383Z bcb41e0a6c79: Verifying Checksum
2024-05-15T23:32:06.2142945Z bcb41e0a6c79: Download complete
2024-05-15T23:32:06.2599425Z 38cebe59a028: Verifying Checksum
2024-05-15T23:32:06.2600388Z 38cebe59a028: Download complete
2024-05-15T23:32:07.0273975Z c1abeb582c1a: Verifying Checksum
2024-05-15T23:32:07.0274679Z c1abeb582c1a: Download complete
2024-05-15T23:32:07.0780218Z f2754d996029: Download complete
2024-05-15T23:32:07.1301999Z 6b9efdae7507: Verifying Checksum
2024-05-15T23:32:07.1302606Z 6b9efdae7507: Download complete
2024-05-15T23:32:07.1338666Z d4abe1a37696: Verifying Checksum
2024-05-15T23:32:07.1339200Z d4abe1a37696: Download complete
2024-05-15T23:32:07.1775348Z ffa9ecd4a5aa: Verifying Checksum
2024-05-15T23:32:07.1775975Z ffa9ecd4a5aa: Download complete
2024-05-15T23:32:07.3132895Z 6a123a6dec9d: Verifying Checksum
2024-05-15T23:32:07.3133385Z 6a123a6dec9d: Download complete
2024-05-15T23:32:07.3244539Z 2d473b07cdd5: Pull complete
2024-05-15T23:32:07.3757083Z b843a4702cbe: Download complete
2024-05-15T23:32:07.4179971Z be3530973190: Download complete
2024-05-15T23:32:07.4595063Z e5f4ea5256df: Download complete
2024-05-15T23:32:07.7478171Z 3e74cc4aca2f: Verifying Checksum
2024-05-15T23:32:07.8028068Z 5deb332f00f2: Verifying Checksum
2024-05-15T23:32:07.8028513Z 5deb332f00f2: Download complete
2024-05-15T23:32:07.8432901Z 145717b5edc0: Verifying Checksum
2024-05-15T23:32:07.8433322Z 145717b5edc0: Download complete
2024-05-15T23:32:09.7587891Z bcb41e0a6c79: Pull complete
2024-05-15T23:32:11.3468421Z cf840f748311: Pull complete
2024-05-15T23:32:11.4446934Z 716e37aeaebd: Pull complete
2024-05-15T23:32:11.5268996Z a03032e01a4f: Verifying Checksum
2024-05-15T23:32:11.5269675Z a03032e01a4f: Download complete
2024-05-15T23:32:12.5658248Z 26102e172763: Pull complete
2024-05-15T23:32:12.7764903Z f22bd6818f48: Pull complete
2024-05-15T23:32:13.3982989Z 122da0886b25: Verifying Checksum
2024-05-15T23:32:13.3983517Z 122da0886b25: Download complete
2024-05-15T23:32:15.2822323Z 6b9efdae7507: Pull complete
2024-05-15T23:32:15.4932789Z 38cebe59a028: Pull complete
2024-05-15T23:32:17.7868959Z be3530973190: Pull complete
2024-05-15T23:32:19.2231746Z c1abeb582c1a: Pull complete
2024-05-15T23:32:19.3079788Z f2754d996029: Pull complete
2024-05-15T23:32:19.4149303Z d4abe1a37696: Pull complete
2024-05-15T23:32:19.5169780Z ffa9ecd4a5aa: Pull complete
2024-05-15T23:32:57.9849709Z 30a9fd1610c3: Verifying Checksum
2024-05-15T23:32:57.9850266Z 30a9fd1610c3: Download complete
2024-05-15T23:33:47.6253819Z 30a9fd1610c3: Pull complete
2024-05-15T23:33:48.0240662Z 6a123a6dec9d: Pull complete
2024-05-15T23:33:48.2109003Z b843a4702cbe: Pull complete
2024-05-15T23:33:56.2414536Z a03032e01a4f: Pull complete
2024-05-15T23:33:56.4706005Z e5f4ea5256df: Pull complete
2024-05-15T23:33:57.0125365Z 3e74cc4aca2f: Pull complete
2024-05-15T23:33:57.2486537Z 5deb332f00f2: Pull complete
2024-05-15T23:33:57.4831369Z 145717b5edc0: Pull complete
2024-05-15T23:34:07.8464884Z 122da0886b25: Pull complete
2024-05-15T23:34:07.9553086Z Digest: sha256:91def7add5f9900a7cd9149cc9f4eacc6da0cd662e43866d43deee758068d79c
2024-05-15T23:34:07.9949799Z Status: Downloaded newer image for pytorch/conda-builder:cuda12.1
2024-05-15T23:34:08.0172948Z docker.io/pytorch/conda-builder:cuda12.1
2024-05-15T23:34:08.0279841Z ##[group]Run set -ex
2024-05-15T23:34:08.0280205Z set -ex
2024-05-15T23:34:08.0280492Z {
2024-05-15T23:34:08.0280799Z   echo "#!/usr/bin/env bash";
2024-05-15T23:34:08.0281470Z   echo "set -eou pipefail";
2024-05-15T23:34:08.0281896Z   # shellcheck disable=SC2016
2024-05-15T23:34:08.0282369Z   echo 'eval "$(conda shell.bash hook)"';
2024-05-15T23:34:08.0282852Z   echo "set -x";
2024-05-15T23:34:08.0283219Z   echo "${SCRIPT}";
2024-05-15T23:34:08.0283628Z } > "${RUNNER_TEMP}/exec_script"
2024-05-15T23:34:08.0284130Z chmod +x "${RUNNER_TEMP}/exec_script"
2024-05-15T23:34:08.0285157Z python3 "/home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py" ""
2024-05-15T23:34:08.0293428Z shell: /usr/bin/bash -e {0}
2024-05-15T23:34:08.0293852Z env:
2024-05-15T23:34:08.0294225Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:34:08.0294677Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:34:08.0295053Z   PR_NUMBER: 804
2024-05-15T23:34:08.0297042Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:34:08.0299276Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:34:08.0300040Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:34:08.0300747Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:34:08.0301352Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:34:08.0302186Z   ALL_SECRETS: {
  "github_token": "***"
}
2024-05-15T23:34:08.0302598Z ##[endgroup]
2024-05-15T23:34:08.0337869Z + echo '#!/usr/bin/env bash'
2024-05-15T23:34:08.0338375Z + echo 'set -eou pipefail'
2024-05-15T23:34:08.0338810Z + echo 'eval "$(conda shell.bash hook)"'
2024-05-15T23:34:08.0339250Z + echo 'set -x'
2024-05-15T23:34:08.0339744Z + echo 'echo "::group::Print machine info"
2024-05-15T23:34:08.0341801Z uname -a
2024-05-15T23:34:08.0342141Z echo "::endgroup::"
2024-05-15T23:34:08.0342343Z 
2024-05-15T23:34:08.0342726Z echo "::group::Install newer objcopy that supports --set-section-alignment"
2024-05-15T23:34:08.0343396Z yum install -y  devtoolset-10-binutils
2024-05-15T23:34:08.0343957Z export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
2024-05-15T23:34:08.0344436Z echo "::endgroup::"
2024-05-15T23:34:08.0344642Z 
2024-05-15T23:34:08.0344821Z .ci/scripts/run-docs quantization
2024-05-15T23:34:08.0345093Z 
2024-05-15T23:34:08.0345249Z echo "::group::Completion"
2024-05-15T23:34:08.0345603Z echo "tests complete"
2024-05-15T23:34:08.0345977Z echo "*******************************************"
2024-05-15T23:34:08.0346404Z echo "::endgroup::"
2024-05-15T23:34:08.0346711Z '
2024-05-15T23:34:08.0347155Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2024-05-15T23:34:08.0348213Z + python3 /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra/.github/scripts/run_with_env_secrets.py ''
2024-05-15T23:35:11.9005585Z Running command: 
2024-05-15T23:35:11.9015234Z         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_9103923207"             `# 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             --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all             -v "/home/ec2-user/actions-runner/_work/torchchat/torchchat/pytorch/torchchat:/pytorch/torchchat"             -v "/home/ec2-user/actions-runner/_work/torchchat/torchchat/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_252259f5-8b62-472d-be7e-8e88501c8b9c":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_252259f5-8b62-472d-be7e-8e88501c8b9c"             -w /pytorch/torchchat             "pytorch/conda-builder:cuda12.1"
2024-05-15T23:35:11.9022294Z         
2024-05-15T23:35:11.9022826Z 44c2e5bafd352bda2f596248ff70160a10cff312afc0e168edb6057cd695e034
2024-05-15T23:35:11.9023834Z Running command: docker exec -t 44c2e5bafd352bda2f596248ff70160a10cff312afc0e168edb6057cd695e034 /exec
2024-05-15T23:35:11.9024689Z + echo '::group::Print machine info'
2024-05-15T23:35:11.9025410Z ##[group]Print machine info
2024-05-15T23:35:11.9025762Z + uname -a
2024-05-15T23:35:11.9026502Z Linux 44c2e5bafd35 4.14.336-257.562.amzn2.x86_64 #1 SMP Sat Feb 24 09:50:35 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux
2024-05-15T23:35:11.9027261Z + echo ::endgroup::
2024-05-15T23:35:11.9027779Z ##[endgroup]
2024-05-15T23:35:11.9028333Z + echo '::group::Install newer objcopy that supports --set-section-alignment'
2024-05-15T23:35:11.9029308Z ##[group]Install newer objcopy that supports --set-section-alignment
2024-05-15T23:35:11.9029928Z + yum install -y devtoolset-10-binutils
2024-05-15T23:35:11.9030366Z Loaded plugins: fastestmirror, ovl
2024-05-15T23:35:11.9030758Z Determining fastest mirrors
2024-05-15T23:35:11.9031006Z 
2024-05-15T23:35:11.9031280Z epel/x86_64/metalink                                     |  20 kB     00:00     
2024-05-15T23:35:11.9031841Z  * base: download.cf.centos.org
2024-05-15T23:35:11.9032284Z  * centos-sclo-rh: download.cf.centos.org
2024-05-15T23:35:11.9032786Z  * centos-sclo-sclo: download.cf.centos.org
2024-05-15T23:35:11.9033252Z  * epel: d2lzkl7pfhq30w.cloudfront.net
2024-05-15T23:35:11.9033670Z  * extras: download.cf.centos.org
2024-05-15T23:35:11.9034071Z  * updates: download.cf.centos.org
2024-05-15T23:35:11.9034342Z 
2024-05-15T23:35:11.9034562Z base                                                     | 3.6 kB     00:00     
2024-05-15T23:35:11.9034931Z 
2024-05-15T23:35:11.9035252Z centos-sclo-rh                                           | 3.0 kB     00:00     
2024-05-15T23:35:11.9035654Z 
2024-05-15T23:35:11.9035974Z centos-sclo-sclo                                         | 3.0 kB     00:00     
2024-05-15T23:35:11.9036393Z 
2024-05-15T23:35:11.9036609Z epel                                                     | 4.3 kB     00:00     
2024-05-15T23:35:11.9036969Z 
2024-05-15T23:35:11.9037294Z extras                                                   | 2.9 kB     00:00     
2024-05-15T23:35:11.9037657Z 
2024-05-15T23:35:11.9037882Z updates                                                  | 2.9 kB     00:00     
2024-05-15T23:35:11.9038255Z 
2024-05-15T23:35:11.9038532Z (1/4): epel/x86_64/group                                   | 399 kB   00:00     
2024-05-15T23:35:11.9038967Z 
2024-05-15T23:35:11.9039252Z (2/4): epel/x86_64/updateinfo                              | 1.0 MB   00:00     
2024-05-15T23:35:11.9039769Z 
2024-05-15T23:35:11.9040052Z (3/4): epel/x86_64/primary_db                              | 8.7 MB   00:00     
2024-05-15T23:35:11.9040484Z 
2024-05-15T23:35:11.9040785Z (4/4): updates/7/x86_64/primary_db                         |  27 MB   00:00     
2024-05-15T23:35:11.9041734Z Resolving Dependencies
2024-05-15T23:35:11.9042130Z --> Running transaction check
2024-05-15T23:35:11.9042901Z ---> Package devtoolset-10-binutils.x86_64 0:2.35-5.el7.4 will be installed
2024-05-15T23:35:11.9044044Z --> Processing Dependency: devtoolset-10-runtime for package: devtoolset-10-binutils-2.35-5.el7.4.x86_64
2024-05-15T23:35:11.9044915Z --> Running transaction check
2024-05-15T23:35:11.9045554Z ---> Package devtoolset-10-runtime.x86_64 0:10.1-0.el7 will be installed
2024-05-15T23:35:11.9046223Z --> Finished Dependency Resolution
2024-05-15T23:35:11.9046519Z 
2024-05-15T23:35:11.9046642Z Dependencies Resolved
2024-05-15T23:35:11.9046859Z 
2024-05-15T23:35:11.9047052Z ================================================================================
2024-05-15T23:35:11.9047687Z  Package                   Arch      Version            Repository         Size
2024-05-15T23:35:11.9048318Z ================================================================================
2024-05-15T23:35:11.9048793Z Installing:
2024-05-15T23:35:11.9049390Z  devtoolset-10-binutils    x86_64    2.35-5.el7.4       centos-sclo-rh    6.3 M
2024-05-15T23:35:11.9050051Z Installing for dependencies:
2024-05-15T23:35:11.9050727Z  devtoolset-10-runtime     x86_64    10.1-0.el7         centos-sclo-rh     19 k
2024-05-15T23:35:11.9051239Z 
2024-05-15T23:35:11.9051367Z Transaction Summary
2024-05-15T23:35:11.9051750Z ================================================================================
2024-05-15T23:35:11.9052279Z Install  1 Package (+1 Dependent package)
2024-05-15T23:35:11.9052605Z 
2024-05-15T23:35:11.9052747Z Total download size: 6.3 M
2024-05-15T23:35:11.9053105Z Installed size: 25 M
2024-05-15T23:35:11.9053439Z Downloading packages:
2024-05-15T23:35:11.9053661Z 
2024-05-15T23:35:11.9054114Z (1/2): devtoolset-10-runtime-10.1-0.el7.x86_64.rpm         |  19 kB   00:00     
2024-05-15T23:35:11.9054656Z 
2024-05-15T23:35:11.9055060Z (2/2): devtoolset-10-binutils-2.35-5.el7.4.x86_64.rpm      | 6.3 MB   00:00     
2024-05-15T23:35:11.9055810Z --------------------------------------------------------------------------------
2024-05-15T23:35:11.9056392Z Total                                               25 MB/s | 6.3 MB  00:00     
2024-05-15T23:35:11.9056876Z Running transaction check
2024-05-15T23:35:11.9057225Z Running transaction test
2024-05-15T23:35:11.9057575Z Transaction test succeeded
2024-05-15T23:35:11.9057912Z Running transaction
2024-05-15T23:35:11.9058113Z 
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2024-05-15T23:35:11.9082844Z ValueError: SELinux policy is not managed or store cannot be accessed.
2024-05-15T23:35:11.9083292Z 
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2024-05-15T23:35:13.3217221Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/as.info.gz
2024-05-15T23:35:13.3218359Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/binutils.info.gz
2024-05-15T23:35:13.3219471Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/gprof.info.gz
2024-05-15T23:35:13.3220584Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/ld.info.gz
2024-05-15T23:35:13.3221672Z install-info: No such file or directory for /opt/rh/devtoolset-10/root/usr/share/info/standards.info.gz
2024-05-15T23:35:13.3222281Z 
2024-05-15T23:35:13.3222677Z   Verifying  : devtoolset-10-runtime-10.1-0.el7.x86_64                      1/2 
2024-05-15T23:35:13.3223153Z 
2024-05-15T23:35:13.3223547Z   Verifying  : devtoolset-10-binutils-2.35-5.el7.4.x86_64                   2/2 
2024-05-15T23:35:13.3224030Z 
2024-05-15T23:35:13.3224142Z Installed:
2024-05-15T23:35:13.3224698Z   devtoolset-10-binutils.x86_64 0:2.35-5.el7.4                                  
2024-05-15T23:35:13.3225174Z 
2024-05-15T23:35:13.3225316Z Dependency Installed:
2024-05-15T23:35:13.3225913Z   devtoolset-10-runtime.x86_64 0:10.1-0.el7                                     
2024-05-15T23:35:13.3226392Z 
2024-05-15T23:35:13.3226499Z Complete!
2024-05-15T23:35:13.3227920Z + export PATH=/opt/rh/devtoolset-10/root/usr/bin/:/opt/conda/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.1/bin:/opt/rh/devtoolset-9/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2024-05-15T23:35:13.3230340Z + PATH=/opt/rh/devtoolset-10/root/usr/bin/:/opt/conda/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.1/bin:/opt/rh/devtoolset-9/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2024-05-15T23:35:13.3231659Z + echo ::endgroup::
2024-05-15T23:35:13.3232339Z ##[endgroup]
2024-05-15T23:35:13.3232693Z + .ci/scripts/run-docs quantization
2024-05-15T23:35:13.3233352Z ##[group]Create script to run quantization
2024-05-15T23:35:13.3233983Z ##[endgroup]
2024-05-15T23:35:13.3234482Z ##[group]Run quantization
2024-05-15T23:35:13.3234871Z *******************************************
2024-05-15T23:35:13.3235297Z set -eou pipefail
2024-05-15T23:35:13.3235710Z echo '::group::start-of-document'
2024-05-15T23:35:13.3236141Z echo '::endgroup::'
2024-05-15T23:35:13.3236521Z echo '::group::# Quantization'
2024-05-15T23:35:13.3236938Z TORCHCHAT_ROOT=${PWD} ./scripts/install_et.sh
2024-05-15T23:35:13.3237561Z echo '::endgroup::'
2024-05-15T23:35:13.3237988Z echo '::group::## Introduction'
2024-05-15T23:35:13.3238391Z echo '::endgroup::'
2024-05-15T23:35:13.3238830Z echo '::group::## Supported Quantization Schemes'
2024-05-15T23:35:13.3239326Z echo '::endgroup::'
2024-05-15T23:35:13.3239767Z echo '::group::## Quantization Profiles'
2024-05-15T23:35:13.3240225Z echo '::endgroup::'
2024-05-15T23:35:13.3240722Z echo '::group::## Quantization API'
2024-05-15T23:35:13.3241441Z echo '::endgroup::'
2024-05-15T23:35:13.3241812Z echo '::group::## Examples'
2024-05-15T23:35:13.3242160Z if false; then
2024-05-15T23:35:13.3242494Z   --quantize quant_config.json
2024-05-15T23:35:13.3242981Z   --quantize '{"linear:a8w4dq": {"groupsize" : 256}}'
2024-05-15T23:35:13.3243868Z   --quantize '{"embedding": {"bitwidth": 4, "groupsize":32}, "linear:a8w4dq": {"groupsize" : 256}}'
2024-05-15T23:35:13.3244496Z fi
2024-05-15T23:35:13.3245300Z python3 generate.py  stories15M --prompt "Hello, my name is" --quantize '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --device cpu
2024-05-15T23:35:13.3246849Z python3 torchchat.py export stories15M --quantize '{"embedding": {"bitwidth": 4, "groupsize":32}, "linear:int4": {"groupsize" : 256}}' --output-dso-path stories15M.so
2024-05-15T23:35:13.3247679Z 
2024-05-15T23:35:13.3248102Z python3 generate.py stories15M --dso-path stories15M.so  --prompt "Hello my name is"
2024-05-15T23:35:13.3249435Z python3 torchchat.py export stories15M --quantize '{"embedding": {"bitwidth": 4, "groupsize":32}, "linear:a8w4dq": {"groupsize" : 256}}' --output-pte-path stories15M.pte
2024-05-15T23:35:13.3250281Z 
2024-05-15T23:35:13.3250709Z python3 generate.py stories15M --pte-path stories15M.pte  --prompt "Hello my name is"
2024-05-15T23:35:13.3251401Z echo '::endgroup::'
2024-05-15T23:35:13.3251792Z echo '::group::## Model precision '
2024-05-15T23:35:13.3252215Z if false; then
2024-05-15T23:35:13.3252583Z python3 generate.py --dtype  fp32 ...
2024-05-15T23:35:13.3253043Z python3 export.py --dtype  fp32 ...
2024-05-15T23:35:13.3253423Z fi
2024-05-15T23:35:13.3253726Z echo '::endgroup::'
2024-05-15T23:35:13.3254199Z echo '::group::## Adding additional quantization schemes'
2024-05-15T23:35:13.3254735Z echo '::endgroup::'
2024-05-15T23:35:13.3255030Z exit 0
2024-05-15T23:35:13.3255272Z exit 1
2024-05-15T23:35:13.3255549Z *******************************************
2024-05-15T23:35:13.3255986Z + set -eou pipefail
2024-05-15T23:35:13.3256346Z + echo ::group::start-of-document
2024-05-15T23:35:13.3256975Z ##[group]start-of-document
2024-05-15T23:35:13.3257329Z + echo ::endgroup::
2024-05-15T23:35:13.3257890Z ##[endgroup]
2024-05-15T23:35:13.3258249Z + echo '::group::# Quantization'
2024-05-15T23:35:13.3258837Z ##[group]# Quantization
2024-05-15T23:35:13.3259193Z + TORCHCHAT_ROOT=/pytorch/torchchat
2024-05-15T23:35:13.3259592Z + ./scripts/install_et.sh
2024-05-15T23:35:13.3259955Z ++ dirname ./scripts/install_et.sh
2024-05-15T23:35:13.3260354Z + source ./scripts/install_utils.sh
2024-05-15T23:35:13.3260777Z ++ set -ex pipefail
2024-05-15T23:35:13.3262493Z ++ COMMON_CMAKE_ARGS='    -DCMAKE_BUILD_TYPE=Release     -DEXECUTORCH_ENABLE_LOGGING=ON     -DEXECUTORCH_LOG_LEVEL=Info     -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON     -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON     -DEXECUTORCH_BUILD_XNNPACK=ON'
2024-05-15T23:35:13.3264089Z + '[' '' == '' ']'
2024-05-15T23:35:13.3264424Z + ET_BUILD_DIR=et-build
2024-05-15T23:35:13.3264767Z + ENABLE_ET_PYBIND=pipefail
2024-05-15T23:35:13.3265124Z + pushd /pytorch/torchchat
2024-05-15T23:35:13.3265496Z /pytorch/torchchat /pytorch/torchchat
2024-05-15T23:35:13.3265907Z + find_cmake_prefix_path
2024-05-15T23:35:13.3266551Z ++ python3 -c 'from distutils.sysconfig import get_python_lib;print(get_python_lib())'
2024-05-15T23:35:13.3267291Z + path=/opt/conda/lib/python3.11/site-packages
2024-05-15T23:35:13.3267913Z + MY_CMAKE_PREFIX_PATH=/opt/conda/lib/python3.11/site-packages
2024-05-15T23:35:13.3268433Z + install_pip_dependencies
2024-05-15T23:35:13.3268858Z + echo 'Intalling common pip packages'
2024-05-15T23:35:13.3269293Z Intalling common pip packages
2024-05-15T23:35:13.3269753Z + pip3 install wheel 'cmake>=3.19' ninja zstd
2024-05-15T23:35:13.3270524Z Requirement already satisfied: wheel in /opt/conda/lib/python3.11/site-packages (0.38.4)
2024-05-15T23:35:13.3271182Z Collecting cmake>=3.19
2024-05-15T23:35:13.3271992Z   Downloading cmake-3.29.3-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (26.7 MB)
2024-05-15T23:35:13.3274736Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/26.7 MB ? eta -:--:--
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2024-05-15T23:35:13.3285377Z [?25hCollecting ninja
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2024-05-15T23:35:18.5580177Z [?25hInstalling collected packages: zstd, ninja, cmake
2024-05-15T23:35:18.5580671Z   Attempting uninstall: cmake
2024-05-15T23:35:18.5581081Z     Found existing installation: cmake 3.18.2
2024-05-15T23:35:18.5581550Z     Uninstalling cmake-3.18.2:
2024-05-15T23:35:18.5581996Z       Successfully uninstalled cmake-3.18.2
2024-05-15T23:35:18.5582603Z Successfully installed cmake-3.29.3 ninja-1.11.1.1 zstd-1.5.5.1
2024-05-15T23:35:18.5584406Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-05-15T23:35:18.5585793Z + pushd /pytorch/torchchat
2024-05-15T23:35:18.5586352Z /pytorch/torchchat /pytorch/torchchat /pytorch/torchchat
2024-05-15T23:35:18.5586906Z + pip3 install -r ./requirements.txt
2024-05-15T23:35:18.5587450Z Collecting torchao (from -r ./requirements.txt (line 4))
2024-05-15T23:35:18.5588057Z   Downloading torchao-0.1-py3-none-any.whl (54 kB)
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2024-05-15T23:35:18.5590624Z [?25hCollecting huggingface_hub (from -r ./requirements.txt (line 7))
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2024-05-15T23:35:18.5598806Z [?25hCollecting snakeviz (from -r ./requirements.txt (line 16))
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2024-05-15T23:35:18.5602267Z [?25hCollecting sentencepiece (from -r ./requirements.txt (line 17))
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2024-05-15T23:35:18.5605956Z [?25hCollecting numpy (from -r ./requirements.txt (line 18))
2024-05-15T23:35:18.5606826Z   Downloading numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.3 MB)
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2024-05-15T23:35:18.5616009Z [?25hCollecting lm-eval==0.4 (from -r ./requirements.txt (line 20))
2024-05-15T23:35:18.5616632Z   Downloading lm_eval-0.4.0.tar.gz (457 kB)
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2024-05-15T23:35:18.5619116Z [?25h  Installing build dependencies ... [?25l- \ | done
2024-05-15T23:35:18.5619799Z [?25h  Getting requirements to build wheel ... [?25l- done
2024-05-15T23:35:18.5620458Z [?25h  Preparing metadata (pyproject.toml) ... [?25l- done
2024-05-15T23:35:18.5621144Z [?25hCollecting blobfile (from -r ./requirements.txt (line 21))
2024-05-15T23:35:18.5621813Z   Downloading blobfile-2.1.1-py3-none-any.whl (73 kB)
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2024-05-15T23:35:18.5624705Z [?25hRequirement already satisfied: wheel in /opt/conda/lib/python3.11/site-packages (from -r ./requirements.txt (line 24)) (0.38.4)
2024-05-15T23:35:18.5626144Z Requirement already satisfied: cmake>=3.24 in /opt/conda/lib/python3.11/site-packages (from -r ./requirements.txt (line 25)) (3.29.3)
2024-05-15T23:35:18.5627565Z Requirement already satisfied: ninja in /opt/conda/lib/python3.11/site-packages (from -r ./requirements.txt (line 26)) (1.11.1.1)
2024-05-15T23:35:18.5628954Z Requirement already satisfied: zstd in /opt/conda/lib/python3.11/site-packages (from -r ./requirements.txt (line 27)) (1.5.5.1)
2024-05-15T23:35:18.5630085Z Collecting flask (from -r ./requirements.txt (line 30))
2024-05-15T23:35:18.5630694Z   Downloading flask-3.0.3-py3-none-any.whl (101 kB)
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2024-05-15T23:35:18.5633316Z [?25hCollecting accelerate>=0.21.0 (from lm-eval==0.4->-r ./requirements.txt (line 20))
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2024-05-15T23:35:19.9768805Z [?25hCollecting evaluate (from lm-eval==0.4->-r ./requirements.txt (line 20))
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2024-05-15T23:35:19.9772330Z [?25hCollecting datasets>=2.0.0 (from lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:35:19.9773147Z   Downloading datasets-2.19.1-py3-none-any.whl (542 kB)
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2024-05-15T23:35:19.9775872Z [?25hCollecting jsonlines (from lm-eval==0.4->-r ./requirements.txt (line 20))
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2024-05-15T23:35:19.9778293Z   Downloading numexpr-2.10.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (378 kB)
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2024-05-15T23:35:19.9781186Z [?25hCollecting peft>=0.2.0 (from lm-eval==0.4->-r ./requirements.txt (line 20))
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2024-05-15T23:35:21.3324649Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 249.3/779.2 MB 137.0 MB/s eta 0:00:04
2024-05-15T23:35:21.3325721Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 253.7/779.2 MB 168.3 MB/s eta 0:00:04
2024-05-15T23:35:21.3326791Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 260.1/779.2 MB 183.0 MB/s eta 0:00:03
2024-05-15T23:35:22.6799121Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 265.3/779.2 MB 189.5 MB/s eta 0:00:03
2024-05-15T23:35:22.6800637Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 268.9/779.2 MB 129.0 MB/s eta 0:00:04
2024-05-15T23:35:22.6802521Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 275.9/779.2 MB 162.1 MB/s eta 0:00:04
2024-05-15T23:35:22.6803609Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 278.9/779.2 MB 145.6 MB/s eta 0:00:04
2024-05-15T23:35:22.6804824Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 281.0/779.2 MB 148.5 MB/s eta 0:00:04
2024-05-15T23:35:22.6805912Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 286.7/779.2 MB 101.3 MB/s eta 0:00:05
2024-05-15T23:35:22.6806996Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 290.7/779.2 MB 106.1 MB/s eta 0:00:05
2024-05-15T23:35:22.6808070Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 295.7/779.2 MB 136.3 MB/s eta 0:00:04
2024-05-15T23:35:22.6809173Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 301.9/779.2 MB 172.8 MB/s eta 0:00:03
2024-05-15T23:35:22.6810282Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 307.2/779.2 MB 176.0 MB/s eta 0:00:03
2024-05-15T23:35:22.6811385Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 311.1/779.2 MB 138.5 MB/s eta 0:00:04
2024-05-15T23:35:22.6812453Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 314.6/779.2 MB 112.7 MB/s eta 0:00:05
2024-05-15T23:35:22.6813521Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 320.4/779.2 MB 134.7 MB/s eta 0:00:04
2024-05-15T23:35:22.6814592Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 325.1/779.2 MB 156.2 MB/s eta 0:00:03
2024-05-15T23:35:22.6815682Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 330.7/779.2 MB 151.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6816748Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 336.0/779.2 MB 157.0 MB/s eta 0:00:03
2024-05-15T23:35:22.6817851Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 343.6/779.2 MB 197.5 MB/s eta 0:00:03
2024-05-15T23:35:22.6818917Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 348.3/779.2 MB 168.6 MB/s eta 0:00:03
2024-05-15T23:35:22.6819991Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6821053Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6822224Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6823293Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6824424Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6825488Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6826552Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6827621Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6828704Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 352.3/779.2 MB 176.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6829766Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 355.7/779.2 MB 27.9 MB/s eta 0:00:16
2024-05-15T23:35:22.6830854Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 360.2/779.2 MB 27.4 MB/s eta 0:00:16
2024-05-15T23:35:22.6831920Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 365.1/779.2 MB 137.6 MB/s eta 0:00:04
2024-05-15T23:35:22.6832990Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 372.9/779.2 MB 208.4 MB/s eta 0:00:02
2024-05-15T23:35:22.6834052Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 379.2/779.2 MB 192.7 MB/s eta 0:00:03
2024-05-15T23:35:22.6835141Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 385.9/779.2 MB 194.7 MB/s eta 0:00:03
2024-05-15T23:35:22.6836202Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 390.7/779.2 MB 171.0 MB/s eta 0:00:03
2024-05-15T23:35:22.6837385Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 394.9/779.2 MB 136.6 MB/s eta 0:00:03
2024-05-15T23:35:22.6838448Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 400.5/779.2 MB 147.4 MB/s eta 0:00:03
2024-05-15T23:35:22.6839515Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 405.4/779.2 MB 151.4 MB/s eta 0:00:03
2024-05-15T23:35:22.6840579Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 411.1/779.2 MB 156.3 MB/s eta 0:00:03
2024-05-15T23:35:22.6841841Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 416.7/779.2 MB 158.8 MB/s eta 0:00:03
2024-05-15T23:35:24.0320763Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 423.6/779.2 MB 186.1 MB/s eta 0:00:02
2024-05-15T23:35:24.0322894Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 428.1/779.2 MB 162.0 MB/s eta 0:00:03
2024-05-15T23:35:24.0324293Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 431.9/779.2 MB 128.7 MB/s eta 0:00:03
2024-05-15T23:35:24.0325496Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 437.2/779.2 MB 139.6 MB/s eta 0:00:03
2024-05-15T23:35:24.0326580Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 441.4/779.2 MB 152.5 MB/s eta 0:00:03
2024-05-15T23:35:24.0327657Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 447.7/779.2 MB 152.1 MB/s eta 0:00:03
2024-05-15T23:35:24.0328761Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 453.5/779.2 MB 165.8 MB/s eta 0:00:02
2024-05-15T23:35:24.0329867Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 457.8/779.2 MB 146.7 MB/s eta 0:00:03
2024-05-15T23:35:24.0330946Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 461.8/779.2 MB 132.4 MB/s eta 0:00:03
2024-05-15T23:35:24.0332009Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 468.1/779.2 MB 150.4 MB/s eta 0:00:03
2024-05-15T23:35:24.0333074Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 472.8/779.2 MB 155.9 MB/s eta 0:00:02
2024-05-15T23:35:24.0334145Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 478.1/779.2 MB 151.8 MB/s eta 0:00:02
2024-05-15T23:35:24.0335238Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 483.4/779.2 MB 155.3 MB/s eta 0:00:02
2024-05-15T23:35:24.0336642Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 489.3/779.2 MB 159.0 MB/s eta 0:00:02
2024-05-15T23:35:24.0337715Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 494.8/779.2 MB 167.1 MB/s eta 0:00:02
2024-05-15T23:35:24.0338778Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 500.2/779.2 MB 169.1 MB/s eta 0:00:02
2024-05-15T23:35:24.0339852Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 501.2/779.2 MB 141.1 MB/s eta 0:00:02
2024-05-15T23:35:24.0340919Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 507.4/779.2 MB 114.5 MB/s eta 0:00:03
2024-05-15T23:35:24.0342124Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 512.1/779.2 MB 161.5 MB/s eta 0:00:02
2024-05-15T23:35:24.0343211Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 518.7/779.2 MB 164.2 MB/s eta 0:00:02
2024-05-15T23:35:24.0344278Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 521.1/779.2 MB 134.3 MB/s eta 0:00:02
2024-05-15T23:35:24.0345338Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 526.4/779.2 MB 120.1 MB/s eta 0:00:03
2024-05-15T23:35:24.0346410Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 529.8/779.2 MB 131.0 MB/s eta 0:00:02
2024-05-15T23:35:24.0347490Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 532.7/779.2 MB 117.2 MB/s eta 0:00:03
2024-05-15T23:35:24.0348581Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 535.6/779.2 MB 93.6 MB/s eta 0:00:03
2024-05-15T23:35:24.0349639Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 537.2/779.2 MB 75.6 MB/s eta 0:00:04
2024-05-15T23:35:24.0350723Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 541.8/779.2 MB 85.6 MB/s eta 0:00:03
2024-05-15T23:35:24.0351785Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 546.4/779.2 MB 111.8 MB/s eta 0:00:03
2024-05-15T23:35:24.0352852Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 552.6/779.2 MB 159.8 MB/s eta 0:00:02
2024-05-15T23:35:24.0353915Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 557.0/779.2 MB 165.0 MB/s eta 0:00:02
2024-05-15T23:35:24.0355084Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 561.0/779.2 MB 127.1 MB/s eta 0:00:02
2024-05-15T23:35:24.0356146Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 566.2/779.2 MB 136.8 MB/s eta 0:00:02
2024-05-15T23:35:24.0357365Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 572.8/779.2 MB 173.9 MB/s eta 0:00:02
2024-05-15T23:35:24.0358443Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 578.9/779.2 MB 188.6 MB/s eta 0:00:02
2024-05-15T23:35:24.0359510Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 586.2/779.2 MB 190.3 MB/s eta 0:00:02
2024-05-15T23:35:24.0360588Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 593.5/779.2 MB 213.8 MB/s eta 0:00:01
2024-05-15T23:35:24.0361832Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 600.5/779.2 MB 208.5 MB/s eta 0:00:01
2024-05-15T23:35:24.0362900Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 606.5/779.2 MB 190.6 MB/s eta 0:00:01
2024-05-15T23:35:24.0363985Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 612.4/779.2 MB 164.8 MB/s eta 0:00:02
2024-05-15T23:35:25.6177900Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 616.9/779.2 MB 151.7 MB/s eta 0:00:02
2024-05-15T23:35:25.6179521Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 622.0/779.2 MB 141.2 MB/s eta 0:00:02
2024-05-15T23:35:25.6180939Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 626.0/779.2 MB 134.6 MB/s eta 0:00:02
2024-05-15T23:35:25.6182131Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 630.2/779.2 MB 129.3 MB/s eta 0:00:02
2024-05-15T23:35:25.6183194Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 635.3/779.2 MB 133.9 MB/s eta 0:00:02
2024-05-15T23:35:25.6184289Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 639.6/779.2 MB 153.3 MB/s eta 0:00:01
2024-05-15T23:35:25.6185359Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 644.4/779.2 MB 137.0 MB/s eta 0:00:01
2024-05-15T23:35:25.6186415Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 651.2/779.2 MB 169.3 MB/s eta 0:00:01
2024-05-15T23:35:25.6187482Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 656.4/779.2 MB 171.5 MB/s eta 0:00:01
2024-05-15T23:35:25.6189028Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 662.7/779.2 MB 173.9 MB/s eta 0:00:01
2024-05-15T23:35:25.6190217Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 665.8/779.2 MB 175.9 MB/s eta 0:00:01
2024-05-15T23:35:25.6191374Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 668.2/779.2 MB 111.3 MB/s eta 0:00:01
2024-05-15T23:35:25.6192492Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 674.2/779.2 MB 111.0 MB/s eta 0:00:01
2024-05-15T23:35:25.6193556Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 677.4/779.2 MB 134.9 MB/s eta 0:00:01
2024-05-15T23:35:25.6194615Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 683.7/779.2 MB 138.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6195695Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 688.9/779.2 MB 182.5 MB/s eta 0:00:01
2024-05-15T23:35:25.6196754Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 693.1/779.2 MB 140.9 MB/s eta 0:00:01
2024-05-15T23:35:25.6197984Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 696.7/779.2 MB 118.7 MB/s eta 0:00:01
2024-05-15T23:35:25.6199045Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 702.2/779.2 MB 130.4 MB/s eta 0:00:01
2024-05-15T23:35:25.6200096Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 708.1/779.2 MB 163.3 MB/s eta 0:00:01
2024-05-15T23:35:25.6201400Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 713.0/779.2 MB 177.4 MB/s eta 0:00:01
2024-05-15T23:35:25.6202462Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 716.7/779.2 MB 122.0 MB/s eta 0:00:01
2024-05-15T23:35:25.6203532Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 721.4/779.2 MB 119.7 MB/s eta 0:00:01
2024-05-15T23:35:25.6204608Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 727.4/779.2 MB 153.4 MB/s eta 0:00:01
2024-05-15T23:35:25.6205668Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 733.2/779.2 MB 164.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6206724Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 739.2/779.2 MB 186.0 MB/s eta 0:00:01
2024-05-15T23:35:25.6207773Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 745.5/779.2 MB 177.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6208824Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 751.8/779.2 MB 192.7 MB/s eta 0:00:01
2024-05-15T23:35:25.6209986Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 757.5/779.2 MB 170.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6211106Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 762.3/779.2 MB 152.8 MB/s eta 0:00:01
2024-05-15T23:35:25.6212135Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 765.7/779.2 MB 125.8 MB/s eta 0:00:01
2024-05-15T23:35:25.6213125Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 773.2/779.2 MB 169.9 MB/s eta 0:00:01
2024-05-15T23:35:25.6214123Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 778.0/779.2 MB 176.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6215110Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6216106Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6217100Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6218119Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6219113Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:25.6220098Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0320591Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0322384Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0323781Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0324995Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0325988Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0326969Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0327961Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0328948Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0330224Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0331191Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0332267Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0333248Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0334221Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0335189Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0336196Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0337185Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0338193Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0339165Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0340137Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0341127Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0342176Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0343237Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0344287Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0345271Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0346258Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0347227Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0348207Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0349208Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0350180Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0351176Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0352158Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0353140Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0354122Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0355096Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0356083Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0357088Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0358130Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0359107Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0360084Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0361182Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:27.0362244Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4460758Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4462447Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4463574Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4464583Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4465577Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4466579Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4467558Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4468566Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4469552Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4470528Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4471510Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4472502Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4473506Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4474485Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4475498Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4476487Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4477474Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4478543Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4479674Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4480659Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4482015Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4483009Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4484006Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4485008Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4485995Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4487007Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4488006Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4489022Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4490007Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4490999Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4492001Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4493018Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4494004Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4495068Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4496066Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4497058Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4498044Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4499036Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4500120Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4501130Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:28.4502113Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8629614Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8632274Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8633369Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8634400Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8635406Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8636430Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8637410Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8638498Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8639489Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8640467Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8641874Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8655045Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8656168Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8657192Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8658199Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8659196Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8660226Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8661233Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8662225Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8663224Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8664224Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8665216Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8666211Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8667208Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8668223Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8669221Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8670202Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8671202Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8672224Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8673340Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8674334Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8675401Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8676399Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8677392Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8678452Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8679470Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8680467Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8681836Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8682895Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8683895Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:29.8684903Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9189242Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9190778Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9191838Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9192852Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9193842Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9194818Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9195807Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9197027Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9198011Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9199189Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9200198Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9201494Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9202482Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9203458Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9204472Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9205478Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9206456Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9207442Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9208430Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9209417Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9210521Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9211520Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9212593Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9213592Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9214566Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9215552Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9216540Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9217537Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9218526Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9219518Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
2024-05-15T23:35:31.9220504Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 779.2/779.2 MB 137.2 MB/s eta 0:00:01
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2024-05-15T23:35:31.9222408Z [?25hCollecting tqdm-multiprocess (from lm-eval==0.4->-r ./requirements.txt (line 20))
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2024-05-15T23:35:38.0442446Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.4/731.7 MB 190.4 MB/s eta 0:00:04
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2024-05-15T23:35:38.0445162Z      ╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 18.8/731.7 MB 182.6 MB/s eta 0:00:04
2024-05-15T23:35:38.0446578Z      ━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25.2/731.7 MB 190.1 MB/s eta 0:00:04
2024-05-15T23:35:38.0447702Z      ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30.3/731.7 MB 169.9 MB/s eta 0:00:05
2024-05-15T23:35:38.0448800Z      ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 37.7/731.7 MB 213.6 MB/s eta 0:00:04
2024-05-15T23:35:38.0449895Z      ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.0/731.7 MB 221.2 MB/s eta 0:00:04
2024-05-15T23:35:38.0450981Z      ━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 48.9/731.7 MB 157.0 MB/s eta 0:00:05
2024-05-15T23:35:38.0452057Z      ━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.5/731.7 MB 169.9 MB/s eta 0:00:04
2024-05-15T23:35:38.0453161Z      ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 59.8/731.7 MB 159.7 MB/s eta 0:00:05
2024-05-15T23:35:38.0454267Z      ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 65.5/731.7 MB 181.0 MB/s eta 0:00:04
2024-05-15T23:35:38.0455458Z      ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 72.7/731.7 MB 190.2 MB/s eta 0:00:04
2024-05-15T23:35:38.0456653Z      ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 79.7/731.7 MB 218.4 MB/s eta 0:00:03
2024-05-15T23:35:38.0457851Z      ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 84.9/731.7 MB 189.8 MB/s eta 0:00:04
2024-05-15T23:35:38.0459042Z      ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 88.8/731.7 MB 132.1 MB/s eta 0:00:05
2024-05-15T23:35:38.0460345Z      ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93.7/731.7 MB 127.2 MB/s eta 0:00:06
2024-05-15T23:35:38.0461520Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 97.5/731.7 MB 136.1 MB/s eta 0:00:05
2024-05-15T23:35:38.0462608Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 102.3/731.7 MB 116.9 MB/s eta 0:00:06
2024-05-15T23:35:38.0463687Z      ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 106.9/731.7 MB 142.1 MB/s eta 0:00:05
2024-05-15T23:35:38.0464839Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 110.6/731.7 MB 127.1 MB/s eta 0:00:05
2024-05-15T23:35:38.0465919Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 113.8/731.7 MB 109.6 MB/s eta 0:00:06
2024-05-15T23:35:38.0467033Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 119.5/731.7 MB 119.7 MB/s eta 0:00:06
2024-05-15T23:35:38.0468137Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.7/731.7 MB 142.1 MB/s eta 0:00:05
2024-05-15T23:35:38.0469218Z      ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 125.8/731.7 MB 155.2 MB/s eta 0:00:04
2024-05-15T23:35:38.0470311Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 127.0/731.7 MB 88.7 MB/s eta 0:00:07
2024-05-15T23:35:38.0471396Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 133.3/731.7 MB 92.9 MB/s eta 0:00:07
2024-05-15T23:35:38.0472481Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 138.4/731.7 MB 167.0 MB/s eta 0:00:04
2024-05-15T23:35:38.0473581Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 142.6/731.7 MB 144.6 MB/s eta 0:00:05
2024-05-15T23:35:38.0474688Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 148.9/731.7 MB 158.3 MB/s eta 0:00:04
2024-05-15T23:35:38.0475776Z      ━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.2/731.7 MB 184.4 MB/s eta 0:00:04
2024-05-15T23:35:38.0476872Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 160.3/731.7 MB 160.2 MB/s eta 0:00:04
2024-05-15T23:35:38.0477951Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 165.7/731.7 MB 156.6 MB/s eta 0:00:04
2024-05-15T23:35:38.0479144Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 171.1/731.7 MB 164.1 MB/s eta 0:00:04
2024-05-15T23:35:38.0480316Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 177.5/731.7 MB 184.0 MB/s eta 0:00:04
2024-05-15T23:35:38.0481608Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━ 183.6/731.7 MB 181.8 MB/s eta 0:00:04
2024-05-15T23:35:38.0482786Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 188.7/731.7 MB 167.9 MB/s eta 0:00:04
2024-05-15T23:35:38.0483871Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 194.0/731.7 MB 154.3 MB/s eta 0:00:04
2024-05-15T23:35:38.0484953Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 200.3/731.7 MB 169.9 MB/s eta 0:00:04
2024-05-15T23:35:38.0486031Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 205.5/731.7 MB 161.7 MB/s eta 0:00:04
2024-05-15T23:35:39.3960204Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 211.2/731.7 MB 157.0 MB/s eta 0:00:04
2024-05-15T23:35:39.3962190Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 216.0/731.7 MB 156.5 MB/s eta 0:00:04
2024-05-15T23:35:39.3963744Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 222.7/731.7 MB 168.4 MB/s eta 0:00:04
2024-05-15T23:35:39.3964955Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 228.3/731.7 MB 167.4 MB/s eta 0:00:04
2024-05-15T23:35:39.3966060Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 233.8/731.7 MB 164.7 MB/s eta 0:00:04
2024-05-15T23:35:39.3967159Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 238.4/731.7 MB 146.9 MB/s eta 0:00:04
2024-05-15T23:35:39.3968467Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 241.8/731.7 MB 117.4 MB/s eta 0:00:05
2024-05-15T23:35:39.3969562Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 247.5/731.7 MB 126.0 MB/s eta 0:00:04
2024-05-15T23:35:39.3970765Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 252.3/731.7 MB 152.7 MB/s eta 0:00:04
2024-05-15T23:35:39.3971852Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 254.4/731.7 MB 115.4 MB/s eta 0:00:05
2024-05-15T23:35:39.3972937Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 259.0/731.7 MB 116.5 MB/s eta 0:00:05
2024-05-15T23:35:39.3974035Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 265.3/731.7 MB 163.3 MB/s eta 0:00:03
2024-05-15T23:35:39.3975152Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 271.8/731.7 MB 182.6 MB/s eta 0:00:03
2024-05-15T23:35:39.3976242Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 277.2/731.7 MB 167.4 MB/s eta 0:00:03
2024-05-15T23:35:39.3977359Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 281.0/731.7 MB 138.6 MB/s eta 0:00:04
2024-05-15T23:35:39.3978452Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 286.3/731.7 MB 129.3 MB/s eta 0:00:04
2024-05-15T23:35:39.3979537Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 292.5/731.7 MB 161.5 MB/s eta 0:00:03
2024-05-15T23:35:39.3980632Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 295.7/731.7 MB 177.3 MB/s eta 0:00:03
2024-05-15T23:35:39.3981740Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 301.4/731.7 MB 137.2 MB/s eta 0:00:04
2024-05-15T23:35:39.3982833Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 307.1/731.7 MB 176.0 MB/s eta 0:00:03
2024-05-15T23:35:39.3983932Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 313.5/731.7 MB 199.8 MB/s eta 0:00:03
2024-05-15T23:35:39.3985076Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 318.9/731.7 MB 172.6 MB/s eta 0:00:03
2024-05-15T23:35:39.3986161Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 324.8/731.7 MB 157.7 MB/s eta 0:00:03
2024-05-15T23:35:39.3987243Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 330.3/731.7 MB 167.4 MB/s eta 0:00:03
2024-05-15T23:35:39.3988325Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 336.6/731.7 MB 187.9 MB/s eta 0:00:03
2024-05-15T23:35:39.3989514Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 342.8/731.7 MB 169.4 MB/s eta 0:00:03
2024-05-15T23:35:39.3990673Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 349.2/731.7 MB 190.1 MB/s eta 0:00:03
2024-05-15T23:35:39.3991770Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 355.5/731.7 MB 190.0 MB/s eta 0:00:02
2024-05-15T23:35:39.3992841Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 361.8/731.7 MB 191.5 MB/s eta 0:00:02
2024-05-15T23:35:39.3993922Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 368.0/731.7 MB 193.4 MB/s eta 0:00:02
2024-05-15T23:35:39.3995001Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 375.4/731.7 MB 192.0 MB/s eta 0:00:02
2024-05-15T23:35:39.3996103Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 382.7/731.7 MB 214.0 MB/s eta 0:00:02
2024-05-15T23:35:39.3997210Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 390.1/731.7 MB 215.8 MB/s eta 0:00:02
2024-05-15T23:35:39.3998291Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 395.4/731.7 MB 183.4 MB/s eta 0:00:02
2024-05-15T23:35:39.3999521Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 402.5/731.7 MB 180.4 MB/s eta 0:00:02
2024-05-15T23:35:39.4000621Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 407.9/731.7 MB 173.1 MB/s eta 0:00:02
2024-05-15T23:35:39.4001830Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 412.0/731.7 MB 142.6 MB/s eta 0:00:03
2024-05-15T23:35:39.4002944Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 417.3/731.7 MB 146.9 MB/s eta 0:00:03
2024-05-15T23:35:39.4004047Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 420.2/731.7 MB 117.2 MB/s eta 0:00:03
2024-05-15T23:35:40.7484297Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 426.5/731.7 MB 127.5 MB/s eta 0:00:03
2024-05-15T23:35:40.7485654Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 432.6/731.7 MB 187.7 MB/s eta 0:00:02
2024-05-15T23:35:40.7486901Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 438.3/731.7 MB 195.5 MB/s eta 0:00:02
2024-05-15T23:35:40.7488270Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 443.3/731.7 MB 153.7 MB/s eta 0:00:02
2024-05-15T23:35:40.7489760Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 448.8/731.7 MB 179.8 MB/s eta 0:00:02
2024-05-15T23:35:40.7490978Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 454.4/731.7 MB 160.5 MB/s eta 0:00:02
2024-05-15T23:35:40.7492060Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 461.5/731.7 MB 193.5 MB/s eta 0:00:02
2024-05-15T23:35:40.7493136Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 467.7/731.7 MB 190.1 MB/s eta 0:00:02
2024-05-15T23:35:40.7494203Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 473.2/731.7 MB 161.4 MB/s eta 0:00:02
2024-05-15T23:35:40.7495275Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 478.6/731.7 MB 167.5 MB/s eta 0:00:02
2024-05-15T23:35:40.7496368Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 485.5/731.7 MB 202.7 MB/s eta 0:00:02
2024-05-15T23:35:40.7497451Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 489.7/731.7 MB 172.9 MB/s eta 0:00:02
2024-05-15T23:35:40.7498512Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 495.6/731.7 MB 144.5 MB/s eta 0:00:02
2024-05-15T23:35:40.7499583Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 502.0/731.7 MB 189.0 MB/s eta 0:00:02
2024-05-15T23:35:40.7500657Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 506.5/731.7 MB 162.2 MB/s eta 0:00:02
2024-05-15T23:35:40.7501743Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 508.9/731.7 MB 116.5 MB/s eta 0:00:02
2024-05-15T23:35:40.7502820Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 514.3/731.7 MB 112.6 MB/s eta 0:00:02
2024-05-15T23:35:40.7503890Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 521.6/731.7 MB 182.1 MB/s eta 0:00:02
2024-05-15T23:35:40.7504975Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 525.8/731.7 MB 166.3 MB/s eta 0:00:02
2024-05-15T23:35:40.7506045Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 529.5/731.7 MB 141.4 MB/s eta 0:00:02
2024-05-15T23:35:40.7507110Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 531.6/731.7 MB 98.4 MB/s eta 0:00:03
2024-05-15T23:35:40.7508180Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 538.1/731.7 MB 123.2 MB/s eta 0:00:02
2024-05-15T23:35:40.7509335Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 541.1/731.7 MB 141.3 MB/s eta 0:00:02
2024-05-15T23:35:40.7510406Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 547.3/731.7 MB 144.0 MB/s eta 0:00:02
2024-05-15T23:35:40.7511528Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 549.8/731.7 MB 132.1 MB/s eta 0:00:02
2024-05-15T23:35:40.7512614Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 556.0/731.7 MB 129.3 MB/s eta 0:00:02
2024-05-15T23:35:40.7513684Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 562.6/731.7 MB 185.7 MB/s eta 0:00:01
2024-05-15T23:35:40.7514754Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 568.1/731.7 MB 175.1 MB/s eta 0:00:01
2024-05-15T23:35:40.7515836Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 571.5/731.7 MB 135.5 MB/s eta 0:00:02
2024-05-15T23:35:40.7516908Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 574.6/731.7 MB 110.0 MB/s eta 0:00:02
2024-05-15T23:35:40.7517991Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 576.7/731.7 MB 87.7 MB/s eta 0:00:02
2024-05-15T23:35:40.7519155Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 580.1/731.7 MB 80.8 MB/s eta 0:00:02
2024-05-15T23:35:40.7520214Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 585.1/731.7 MB 114.8 MB/s eta 0:00:02
2024-05-15T23:35:40.7521663Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 590.2/731.7 MB 148.9 MB/s eta 0:00:01
2024-05-15T23:35:40.7522760Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 594.5/731.7 MB 138.1 MB/s eta 0:00:01
2024-05-15T23:35:40.7523829Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 595.8/731.7 MB 102.7 MB/s eta 0:00:02
2024-05-15T23:35:40.7524984Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 597.7/731.7 MB 88.4 MB/s eta 0:00:02
2024-05-15T23:35:40.7526056Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 600.8/731.7 MB 78.0 MB/s eta 0:00:02
2024-05-15T23:35:40.7527124Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 607.1/731.7 MB 121.2 MB/s eta 0:00:02
2024-05-15T23:35:42.3633710Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 613.4/731.7 MB 182.4 MB/s eta 0:00:01
2024-05-15T23:35:42.3635384Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 620.7/731.7 MB 217.5 MB/s eta 0:00:01
2024-05-15T23:35:42.3636469Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 627.6/731.7 MB 202.6 MB/s eta 0:00:01
2024-05-15T23:35:42.3637566Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 635.3/731.7 MB 221.2 MB/s eta 0:00:01
2024-05-15T23:35:42.3638713Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 638.7/731.7 MB 158.8 MB/s eta 0:00:01
2024-05-15T23:35:42.3639792Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 645.7/731.7 MB 154.4 MB/s eta 0:00:01
2024-05-15T23:35:42.3641081Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 653.3/731.7 MB 213.8 MB/s eta 0:00:01
2024-05-15T23:35:42.3642183Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 659.5/731.7 MB 203.2 MB/s eta 0:00:01
2024-05-15T23:35:42.3643252Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 666.1/731.7 MB 188.5 MB/s eta 0:00:01
2024-05-15T23:35:42.3644336Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 672.1/731.7 MB 178.4 MB/s eta 0:00:01
2024-05-15T23:35:42.3645412Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 678.5/731.7 MB 183.3 MB/s eta 0:00:01
2024-05-15T23:35:42.3646539Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 684.7/731.7 MB 185.7 MB/s eta 0:00:01
2024-05-15T23:35:42.3647613Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 690.0/731.7 MB 174.3 MB/s eta 0:00:01
2024-05-15T23:35:42.3648673Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 694.1/731.7 MB 146.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3649872Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 700.0/731.7 MB 140.3 MB/s eta 0:00:01
2024-05-15T23:35:42.3651039Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 704.8/731.7 MB 155.4 MB/s eta 0:00:01
2024-05-15T23:35:42.3652108Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 710.4/731.7 MB 150.3 MB/s eta 0:00:01
2024-05-15T23:35:42.3653136Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 716.2/731.7 MB 168.3 MB/s eta 0:00:01
2024-05-15T23:35:42.3654150Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 721.4/731.7 MB 160.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3655157Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 724.3/731.7 MB 120.9 MB/s eta 0:00:01
2024-05-15T23:35:42.3656169Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 729.8/731.7 MB 134.4 MB/s eta 0:00:01
2024-05-15T23:35:42.3657166Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3658170Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3659168Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3660165Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3661159Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3662180Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3663180Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3664181Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3665168Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3666169Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3667166Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3668148Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3669218Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3670265Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3671253Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3672229Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3673219Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3674206Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:42.3675223Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7766968Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7768396Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7769538Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7770529Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7771500Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7772478Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7773482Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7774476Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7775445Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7776439Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7777422Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7778407Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7779562Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7780552Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7781617Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7782598Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7783564Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7784551Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7785562Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7786540Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7787540Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7788527Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7789512Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7790494Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7791467Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7792466Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7793453Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7794506Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7795493Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7796477Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7797458Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7798609Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7799587Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7800595Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7801742Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7802713Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7803702Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7804689Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7805683Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7806720Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:43.7807701Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:45.1911779Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:45.1913226Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:45.1914392Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:45.1915616Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:45.1916599Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:45.1917702Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
2024-05-15T23:35:45.1918819Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
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2024-05-15T23:35:46.6075084Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
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2024-05-15T23:35:46.6109308Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
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2024-05-15T23:35:48.5560478Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
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2024-05-15T23:35:48.5568374Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
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2024-05-15T23:35:48.5588505Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
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2024-05-15T23:35:48.5597402Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 731.7/731.7 MB 128.0 MB/s eta 0:00:01
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2024-05-15T23:35:48.5599603Z [?25hCollecting nvidia-cublas-cu12==12.1.3.1 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:35:48.5600661Z   Downloading nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
2024-05-15T23:35:48.5601729Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/410.6 MB ? eta -:--:--
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2024-05-15T23:35:49.9099083Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 90.2/410.6 MB 210.8 MB/s eta 0:00:02
2024-05-15T23:35:49.9100307Z      ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 95.3/410.6 MB 179.2 MB/s eta 0:00:02
2024-05-15T23:35:49.9101472Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 99.9/410.6 MB 143.7 MB/s eta 0:00:03
2024-05-15T23:35:49.9102703Z      ━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 105.8/410.6 MB 177.4 MB/s eta 0:00:02
2024-05-15T23:35:49.9103870Z      ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━ 113.2/410.6 MB 205.9 MB/s eta 0:00:02
2024-05-15T23:35:49.9105015Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━ 119.9/410.6 MB 198.7 MB/s eta 0:00:02
2024-05-15T23:35:49.9106227Z      ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 126.2/410.6 MB 189.5 MB/s eta 0:00:02
2024-05-15T23:35:49.9107507Z      ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 131.5/410.6 MB 161.5 MB/s eta 0:00:02
2024-05-15T23:35:49.9108724Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 137.4/410.6 MB 164.1 MB/s eta 0:00:02
2024-05-15T23:35:49.9109970Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 143.6/410.6 MB 184.6 MB/s eta 0:00:02
2024-05-15T23:35:49.9111171Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 147.8/410.6 MB 169.7 MB/s eta 0:00:02
2024-05-15T23:35:49.9112358Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 151.6/410.6 MB 127.0 MB/s eta 0:00:03
2024-05-15T23:35:49.9113506Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 157.1/410.6 MB 133.6 MB/s eta 0:00:02
2024-05-15T23:35:49.9114741Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 162.0/410.6 MB 151.6 MB/s eta 0:00:02
2024-05-15T23:35:49.9115906Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 167.8/410.6 MB 155.0 MB/s eta 0:00:02
2024-05-15T23:35:49.9117108Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 172.0/410.6 MB 148.9 MB/s eta 0:00:02
2024-05-15T23:35:49.9118301Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 175.2/410.6 MB 124.8 MB/s eta 0:00:02
2024-05-15T23:35:49.9119563Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 180.3/410.6 MB 123.9 MB/s eta 0:00:02
2024-05-15T23:35:49.9120791Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 184.5/410.6 MB 126.4 MB/s eta 0:00:02
2024-05-15T23:35:49.9122146Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 188.9/410.6 MB 131.0 MB/s eta 0:00:02
2024-05-15T23:35:49.9123311Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 196.1/410.6 MB 180.6 MB/s eta 0:00:02
2024-05-15T23:35:49.9124471Z      ━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 203.3/410.6 MB 212.7 MB/s eta 0:00:01
2024-05-15T23:35:49.9125552Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━ 207.7/410.6 MB 161.5 MB/s eta 0:00:02
2024-05-15T23:35:49.9126698Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 211.8/410.6 MB 138.2 MB/s eta 0:00:02
2024-05-15T23:35:49.9127799Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 212.9/410.6 MB 134.7 MB/s eta 0:00:02
2024-05-15T23:35:49.9128897Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 217.0/410.6 MB 96.3 MB/s eta 0:00:03
2024-05-15T23:35:51.3838054Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 221.2/410.6 MB 95.4 MB/s eta 0:00:02
2024-05-15T23:35:51.3840170Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 227.5/410.6 MB 189.1 MB/s eta 0:00:01
2024-05-15T23:35:51.3841577Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 231.7/410.6 MB 165.9 MB/s eta 0:00:02
2024-05-15T23:35:51.3842722Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━ 234.9/410.6 MB 119.2 MB/s eta 0:00:02
2024-05-15T23:35:51.3843808Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 241.5/410.6 MB 137.5 MB/s eta 0:00:02
2024-05-15T23:35:51.3844890Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 247.3/410.6 MB 183.8 MB/s eta 0:00:01
2024-05-15T23:35:51.3846002Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 252.7/410.6 MB 160.0 MB/s eta 0:00:01
2024-05-15T23:35:51.3847094Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 257.9/410.6 MB 155.1 MB/s eta 0:00:01
2024-05-15T23:35:51.3848167Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 260.0/410.6 MB 140.5 MB/s eta 0:00:02
2024-05-15T23:35:51.3849285Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 265.1/410.6 MB 120.1 MB/s eta 0:00:02
2024-05-15T23:35:51.3850351Z      ━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━ 269.5/410.6 MB 123.5 MB/s eta 0:00:02
2024-05-15T23:35:51.3851419Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 275.8/410.6 MB 160.0 MB/s eta 0:00:01
2024-05-15T23:35:51.3852506Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 280.0/410.6 MB 161.5 MB/s eta 0:00:01
2024-05-15T23:35:51.3853589Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 283.6/410.6 MB 122.9 MB/s eta 0:00:02
2024-05-15T23:35:51.3854659Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 289.4/410.6 MB 140.5 MB/s eta 0:00:01
2024-05-15T23:35:51.3855719Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 296.4/410.6 MB 188.2 MB/s eta 0:00:01
2024-05-15T23:35:51.3856782Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 302.9/410.6 MB 192.4 MB/s eta 0:00:01
2024-05-15T23:35:51.3857853Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 308.8/410.6 MB 177.9 MB/s eta 0:00:01
2024-05-15T23:35:51.3859068Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 316.6/410.6 MB 217.3 MB/s eta 0:00:01
2024-05-15T23:35:51.3860201Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 323.2/410.6 MB 213.8 MB/s eta 0:00:01
2024-05-15T23:35:51.3861269Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 327.1/410.6 MB 156.6 MB/s eta 0:00:01
2024-05-15T23:35:51.3862327Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 333.3/410.6 MB 144.4 MB/s eta 0:00:01
2024-05-15T23:35:51.3863389Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 339.7/410.6 MB 195.2 MB/s eta 0:00:01
2024-05-15T23:35:51.3864451Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 345.9/410.6 MB 183.6 MB/s eta 0:00:01
2024-05-15T23:35:51.3865534Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 353.4/410.6 MB 222.5 MB/s eta 0:00:01
2024-05-15T23:35:51.3866598Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 359.7/410.6 MB 201.8 MB/s eta 0:00:01
2024-05-15T23:35:51.3867686Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 365.6/410.6 MB 169.4 MB/s eta 0:00:01
2024-05-15T23:35:51.3868745Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 370.0/410.6 MB 152.6 MB/s eta 0:00:01
2024-05-15T23:35:51.3869803Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 374.3/410.6 MB 136.8 MB/s eta 0:00:01
2024-05-15T23:35:51.3870865Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 377.6/410.6 MB 108.5 MB/s eta 0:00:01
2024-05-15T23:35:51.3872006Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 384.4/410.6 MB 144.9 MB/s eta 0:00:01
2024-05-15T23:35:51.3873064Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 391.1/410.6 MB 210.5 MB/s eta 0:00:01
2024-05-15T23:35:51.3874196Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 395.3/410.6 MB 172.7 MB/s eta 0:00:01
2024-05-15T23:35:51.3875267Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 395.3/410.6 MB 172.7 MB/s eta 0:00:01
2024-05-15T23:35:51.3876318Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 395.7/410.6 MB 77.1 MB/s eta 0:00:01
2024-05-15T23:35:51.3877353Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 400.2/410.6 MB 69.9 MB/s eta 0:00:01
2024-05-15T23:35:51.3878479Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺ 404.7/410.6 MB 71.5 MB/s eta 0:00:01
2024-05-15T23:35:51.3879517Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 407.0/410.6 MB 104.2 MB/s eta 0:00:01
2024-05-15T23:35:51.3880535Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7988139Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7989395Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7990652Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7991804Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7992850Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7993867Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7994851Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7995833Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7996831Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
2024-05-15T23:35:52.7997834Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 410.6/410.6 MB 116.9 MB/s eta 0:00:01
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2024-05-15T23:35:54.4869904Z [?25hCollecting nvidia-cufft-cu12==11.0.2.54 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:35:54.4870943Z   Downloading nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
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2024-05-15T23:35:54.4878468Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.6/121.6 MB 177.3 MB/s eta 0:00:01
2024-05-15T23:35:54.4879642Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 40.3/121.6 MB 165.2 MB/s eta 0:00:01
2024-05-15T23:35:55.8964706Z      ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━ 47.2/121.6 MB 196.1 MB/s eta 0:00:01
2024-05-15T23:35:55.8966474Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 53.4/121.6 MB 194.2 MB/s eta 0:00:01
2024-05-15T23:35:55.8967695Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 60.5/121.6 MB 189.1 MB/s eta 0:00:01
2024-05-15T23:35:55.8968791Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 67.7/121.6 MB 203.7 MB/s eta 0:00:01
2024-05-15T23:35:55.8969868Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 74.6/121.6 MB 193.6 MB/s eta 0:00:01
2024-05-15T23:35:55.8970978Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 78.6/121.6 MB 219.4 MB/s eta 0:00:01
2024-05-15T23:35:55.8972050Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 84.0/121.6 MB 138.2 MB/s eta 0:00:01
2024-05-15T23:35:55.8973152Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 90.4/121.6 MB 199.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8974212Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 97.2/121.6 MB 179.1 MB/s eta 0:00:01
2024-05-15T23:35:55.8975285Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 103.4/121.6 MB 180.8 MB/s eta 0:00:01
2024-05-15T23:35:55.8976352Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 110.0/121.6 MB 186.4 MB/s eta 0:00:01
2024-05-15T23:35:55.8977437Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 116.4/121.6 MB 190.3 MB/s eta 0:00:01
2024-05-15T23:35:55.8978466Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8979496Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8980505Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8981502Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8982483Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8983481Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8984610Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8985669Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8986662Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8987669Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8988667Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8989721Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8990721Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8991729Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
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2024-05-15T23:35:55.8996730Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8997731Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8998812Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.8999797Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.9000783Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.9002037Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.9003030Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.9004137Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:55.9005135Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
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2024-05-15T23:35:57.3201801Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:57.3202921Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:57.3203927Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:57.3204949Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:57.3205951Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 121.6/121.6 MB 216.9 MB/s eta 0:00:01
2024-05-15T23:35:57.3206937Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 121.6/121.6 MB 8.5 MB/s eta 0:00:00
2024-05-15T23:35:57.3207997Z [?25hCollecting nvidia-curand-cu12==10.3.2.106 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:35:57.3209038Z   Downloading nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
2024-05-15T23:35:57.3209970Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/56.5 MB ? eta -:--:--
2024-05-15T23:35:57.3211020Z      ━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.0/56.5 MB 150.3 MB/s eta 0:00:01
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2024-05-15T23:35:57.3216638Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 27.5/56.5 MB 150.9 MB/s eta 0:00:01
2024-05-15T23:35:57.3217709Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 32.0/56.5 MB 131.4 MB/s eta 0:00:01
2024-05-15T23:35:57.3218771Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 37.5/56.5 MB 146.0 MB/s eta 0:00:01
2024-05-15T23:35:57.3219971Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 42.1/56.5 MB 146.9 MB/s eta 0:00:01
2024-05-15T23:35:57.3221045Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 46.1/56.5 MB 133.3 MB/s eta 0:00:01
2024-05-15T23:35:57.3222114Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 51.7/56.5 MB 136.5 MB/s eta 0:00:01
2024-05-15T23:35:57.3224514Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 54.5/56.5 MB 122.5 MB/s eta 0:00:01
2024-05-15T23:35:57.3225709Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.5/56.5 MB 133.8 MB/s eta 0:00:01
2024-05-15T23:35:57.3226893Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.5/56.5 MB 133.8 MB/s eta 0:00:01
2024-05-15T23:35:57.3227909Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.5/56.5 MB 133.8 MB/s eta 0:00:01
2024-05-15T23:35:57.3228904Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.5/56.5 MB 133.8 MB/s eta 0:00:01
2024-05-15T23:35:57.3229887Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 56.5/56.5 MB 133.8 MB/s eta 0:00:01
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2024-05-15T23:35:57.3243209Z [?25hCollecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:35:57.3244276Z   Downloading nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
2024-05-15T23:35:57.3245232Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/124.2 MB ? eta -:--:--
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2024-05-15T23:35:58.7431809Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 84.2/124.2 MB 177.2 MB/s eta 0:00:01
2024-05-15T23:35:58.7432906Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 89.5/124.2 MB 173.1 MB/s eta 0:00:01
2024-05-15T23:35:58.7433989Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 94.4/124.2 MB 148.4 MB/s eta 0:00:01
2024-05-15T23:35:58.7435073Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 97.5/124.2 MB 126.8 MB/s eta 0:00:01
2024-05-15T23:35:58.7436145Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 102.8/124.2 MB 127.2 MB/s eta 0:00:01
2024-05-15T23:35:58.7437215Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 107.5/124.2 MB 141.8 MB/s eta 0:00:01
2024-05-15T23:35:58.7438277Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 114.3/124.2 MB 175.9 MB/s eta 0:00:01
2024-05-15T23:35:58.7439500Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 120.6/124.2 MB 189.9 MB/s eta 0:00:01
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2024-05-15T23:36:00.1831336Z [?25hCollecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:36:00.1832406Z   Downloading nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
2024-05-15T23:36:00.1833341Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/196.0 MB ? eta -:--:--
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2024-05-15T23:36:00.1849218Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 83.3/196.0 MB 184.3 MB/s eta 0:00:01
2024-05-15T23:36:00.1850290Z      ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 89.6/196.0 MB 167.0 MB/s eta 0:00:01
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2024-05-15T23:36:00.1852438Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 102.3/196.0 MB 187.7 MB/s eta 0:00:01
2024-05-15T23:36:00.1853507Z      ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 108.6/196.0 MB 168.7 MB/s eta 0:00:01
2024-05-15T23:36:00.1854574Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 114.6/196.0 MB 176.5 MB/s eta 0:00:01
2024-05-15T23:36:00.1855779Z      ━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━ 121.0/196.0 MB 170.5 MB/s eta 0:00:01
2024-05-15T23:36:00.1856846Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 126.9/196.0 MB 185.1 MB/s eta 0:00:01
2024-05-15T23:36:00.1857995Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 133.2/196.0 MB 178.2 MB/s eta 0:00:01
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2024-05-15T23:36:01.6024048Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━ 147.0/196.0 MB 134.2 MB/s eta 0:00:01
2024-05-15T23:36:01.6025637Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━ 154.1/196.0 MB 170.8 MB/s eta 0:00:01
2024-05-15T23:36:01.6026796Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━ 160.4/196.0 MB 191.4 MB/s eta 0:00:01
2024-05-15T23:36:01.6027925Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━ 167.3/196.0 MB 199.2 MB/s eta 0:00:01
2024-05-15T23:36:01.6029016Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 172.4/196.0 MB 169.1 MB/s eta 0:00:01
2024-05-15T23:36:01.6030102Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 179.3/196.0 MB 179.6 MB/s eta 0:00:01
2024-05-15T23:36:01.6031188Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 183.9/196.0 MB 161.7 MB/s eta 0:00:01
2024-05-15T23:36:01.6032289Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 187.6/196.0 MB 128.2 MB/s eta 0:00:01
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2024-05-15T23:36:03.1093085Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
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2024-05-15T23:36:03.1095256Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1096243Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1097239Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1098225Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1099470Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1100443Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1101534Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1102531Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1103513Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1104490Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1105500Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1106494Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1107493Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1108474Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1109458Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1110442Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1111416Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1112412Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 196.0/196.0 MB 190.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1113391Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 196.0/196.0 MB 5.5 MB/s eta 0:00:00
2024-05-15T23:36:03.1114418Z [?25hCollecting nvidia-nccl-cu12==2.20.5 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:36:03.1115423Z   Downloading nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)
2024-05-15T23:36:03.1116353Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/176.2 MB ? eta -:--:--
2024-05-15T23:36:03.1117369Z      ━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 6.3/176.2 MB 189.9 MB/s eta 0:00:01
2024-05-15T23:36:03.1118561Z      ━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 9.9/176.2 MB 149.0 MB/s eta 0:00:02
2024-05-15T23:36:03.1119731Z      ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.7/176.2 MB 143.4 MB/s eta 0:00:02
2024-05-15T23:36:03.1121061Z      ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 20.3/176.2 MB 151.7 MB/s eta 0:00:02
2024-05-15T23:36:03.1122212Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 25.9/176.2 MB 144.9 MB/s eta 0:00:02
2024-05-15T23:36:03.1123290Z      ━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30.4/176.2 MB 156.2 MB/s eta 0:00:01
2024-05-15T23:36:03.1124356Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 34.7/176.2 MB 131.3 MB/s eta 0:00:02
2024-05-15T23:36:03.1125426Z      ━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 38.8/176.2 MB 125.0 MB/s eta 0:00:02
2024-05-15T23:36:03.1126517Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 44.0/176.2 MB 140.8 MB/s eta 0:00:01
2024-05-15T23:36:03.1127604Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.9/176.2 MB 158.9 MB/s eta 0:00:01
2024-05-15T23:36:03.1128681Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 56.6/176.2 MB 198.9 MB/s eta 0:00:01
2024-05-15T23:36:03.1129743Z      ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━ 60.8/176.2 MB 156.3 MB/s eta 0:00:01
2024-05-15T23:36:03.1130802Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 65.0/176.2 MB 130.7 MB/s eta 0:00:01
2024-05-15T23:36:03.1131862Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 70.2/176.2 MB 137.7 MB/s eta 0:00:01
2024-05-15T23:36:03.1132950Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━ 75.9/176.2 MB 155.1 MB/s eta 0:00:01
2024-05-15T23:36:03.1134040Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 81.8/176.2 MB 165.9 MB/s eta 0:00:01
2024-05-15T23:36:03.1135107Z      ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 88.7/176.2 MB 188.2 MB/s eta 0:00:01
2024-05-15T23:36:04.5274330Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 93.8/176.2 MB 167.2 MB/s eta 0:00:01
2024-05-15T23:36:04.5275848Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 98.9/176.2 MB 150.6 MB/s eta 0:00:01
2024-05-15T23:36:04.5277258Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 106.3/176.2 MB 178.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5278656Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 112.2/176.2 MB 189.4 MB/s eta 0:00:01
2024-05-15T23:36:04.5279757Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 117.4/176.2 MB 157.7 MB/s eta 0:00:01
2024-05-15T23:36:04.5281106Z      ━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 122.7/176.2 MB 168.8 MB/s eta 0:00:01
2024-05-15T23:36:04.5282211Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 129.6/176.2 MB 174.6 MB/s eta 0:00:01
2024-05-15T23:36:04.5283299Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 135.5/176.2 MB 180.7 MB/s eta 0:00:01
2024-05-15T23:36:04.5284377Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━ 137.4/176.2 MB 159.2 MB/s eta 0:00:01
2024-05-15T23:36:04.5285476Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 141.8/176.2 MB 109.2 MB/s eta 0:00:01
2024-05-15T23:36:04.5286548Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━ 147.8/176.2 MB 162.1 MB/s eta 0:00:01
2024-05-15T23:36:04.5287643Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 153.5/176.2 MB 175.5 MB/s eta 0:00:01
2024-05-15T23:36:04.5288718Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━ 159.9/176.2 MB 168.3 MB/s eta 0:00:01
2024-05-15T23:36:04.5289934Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━ 165.7/176.2 MB 178.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5291002Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━ 167.8/176.2 MB 137.1 MB/s eta 0:00:01
2024-05-15T23:36:04.5292090Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 171.5/176.2 MB 105.0 MB/s eta 0:00:01
2024-05-15T23:36:04.5293130Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 175.1/176.2 MB 99.7 MB/s eta 0:00:01
2024-05-15T23:36:04.5294212Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5295224Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5296229Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5297214Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5298206Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5299336Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5300348Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5301327Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5302311Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5303315Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5304312Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5305308Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
2024-05-15T23:36:04.5306303Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 176.2/176.2 MB 90.9 MB/s eta 0:00:01
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2024-05-15T23:36:05.9857598Z [?25hCollecting nvidia-nvtx-cu12==12.1.105 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:36:05.9858600Z   Downloading nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
2024-05-15T23:36:05.9859507Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/99.1 kB ? eta -:--:--
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2024-05-15T23:36:05.9861394Z [?25hCollecting triton==2.3.0 (from torch>=1.8->lm-eval==0.4->-r ./requirements.txt (line 20))
2024-05-15T23:36:05.9862488Z   Downloading triton-2.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (168.1 MB)
2024-05-15T23:36:05.9863527Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/168.1 MB ? eta -:--:--
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2024-05-15T23:36:07.5658057Z      ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 55.6/168.1 MB 116.6 MB/s eta 0:00:01
2024-05-15T23:36:07.5659564Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 60.5/168.1 MB 120.2 MB/s eta 0:00:01
2024-05-15T23:36:07.5660669Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 64.1/168.1 MB 125.2 MB/s eta 0:00:01
2024-05-15T23:36:07.5661763Z      ━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 69.6/168.1 MB 123.9 MB/s eta 0:00:01
2024-05-15T23:36:07.5662877Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 74.4/168.1 MB 161.6 MB/s eta 0:00:01
2024-05-15T23:36:07.5663954Z      ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━ 78.6/168.1 MB 149.1 MB/s eta 0:00:01
2024-05-15T23:36:07.5665211Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 83.6/168.1 MB 125.4 MB/s eta 0:00:01
2024-05-15T23:36:07.5666297Z      ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 88.9/168.1 MB 130.5 MB/s eta 0:00:01
2024-05-15T23:36:07.5667372Z      ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━ 94.4/168.1 MB 161.1 MB/s eta 0:00:01
2024-05-15T23:36:07.5668435Z      ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━ 100.7/168.1 MB 183.6 MB/s eta 0:00:01
2024-05-15T23:36:07.5669650Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 106.1/168.1 MB 170.3 MB/s eta 0:00:01
2024-05-15T23:36:07.5670718Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 111.6/168.1 MB 161.6 MB/s eta 0:00:01
2024-05-15T23:36:07.5671804Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 118.9/168.1 MB 202.4 MB/s eta 0:00:01
2024-05-15T23:36:07.5672868Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━ 124.6/168.1 MB 185.9 MB/s eta 0:00:01
2024-05-15T23:36:07.5673933Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 129.0/168.1 MB 149.9 MB/s eta 0:00:01
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2024-05-15T23:36:13.1583200Z [?25hBuilding wheels for collected packages: lm-eval, rouge-score, sqlitedict
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2024-05-15T23:37:14.2659261Z   Stored in directory: /root/.cache/pip/wheels/73/63/89/7210274f9b7fb033b8f22671f64c0e0b55083d30c3c046a3ff
2024-05-15T23:37:14.2660635Z Successfully built lm-eval rouge-score sqlitedict
2024-05-15T23:37:14.2666679Z Installing collected packages: sqlitedict, sentencepiece, mpmath, xxhash, Werkzeug, tzdata, typing-extensions, triton, tornado, threadpoolctl, tcolorpy, tabulate, sympy, safetensors, regex, pycryptodomex, pybind11, pyarrow-hotfix, portalocker, pathvalidate, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, numpy, networkx, multidict, mbstrdecoder, lxml, jsonlines, joblib, itsdangerous, fsspec, frozenlist, dill, colorama, blinker, absl-py, yarl, typepy, tqdm-multiprocess, tiktoken, snakeviz, scipy, sacrebleu, pyarrow, pandas, nvidia-cusparse-cu12, nvidia-cudnn-cu12, numexpr, nltk, multiprocess, huggingface_hub, gguf, flask, blobfile, aiosignal, tokenizers, scikit-learn, rouge-score, nvidia-cusolver-cu12, aiohttp, transformers, torch, DataProperty, torchao, tabledata, datasets, accelerate, pytablewriter, peft, evaluate, lm-eval
2024-05-15T23:37:14.2680708Z Successfully installed DataProperty-1.0.1 Werkzeug-3.0.3 absl-py-2.1.0 accelerate-0.30.1 aiohttp-3.9.5 aiosignal-1.3.1 blinker-1.8.2 blobfile-2.1.1 colorama-0.4.6 datasets-2.19.1 dill-0.3.8 evaluate-0.4.2 flask-3.0.3 frozenlist-1.4.1 fsspec-2024.3.1 gguf-0.6.0 huggingface_hub-0.23.0 itsdangerous-2.2.0 joblib-1.4.2 jsonlines-4.0.0 lm-eval-0.4.0 lxml-4.9.4 mbstrdecoder-1.1.3 mpmath-1.3.0 multidict-6.0.5 multiprocess-0.70.16 networkx-3.3 nltk-3.8.1 numexpr-2.10.0 numpy-1.26.4 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.20.5 nvidia-nvjitlink-cu12-12.4.127 nvidia-nvtx-cu12-12.1.105 pandas-2.2.2 pathvalidate-3.2.0 peft-0.10.0 portalocker-2.8.2 pyarrow-16.1.0 pyarrow-hotfix-0.6 pybind11-2.12.0 pycryptodomex-3.20.0 pytablewriter-1.2.0 regex-2024.5.15 rouge-score-0.1.2 sacrebleu-2.4.2 safetensors-0.4.3 scikit-learn-1.4.2 scipy-1.13.0 sentencepiece-0.2.0 snakeviz-2.2.0 sqlitedict-2.1.0 sympy-1.12 tabledata-1.3.3 tabulate-0.9.0 tcolorpy-0.1.6 threadpoolctl-3.5.0 tiktoken-0.7.0 tokenizers-0.19.1 torch-2.3.0 torchao-0.1 tornado-6.4 tqdm-multiprocess-0.0.11 transformers-4.40.2 triton-2.3.0 typepy-1.3.2 typing-extensions-4.11.0 tzdata-2024.1 xxhash-3.4.1 yarl-1.9.4
2024-05-15T23:37:14.2690840Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-05-15T23:37:14.2692681Z + popd
2024-05-15T23:37:14.2692995Z /pytorch/torchchat /pytorch/torchchat
2024-05-15T23:37:14.2693396Z + clone_executorch
2024-05-15T23:37:14.2693888Z + echo 'Cloning executorch to /pytorch/torchchat/et-build/src'
2024-05-15T23:37:14.2694537Z Cloning executorch to /pytorch/torchchat/et-build/src
2024-05-15T23:37:14.2695060Z + rm -rf /pytorch/torchchat/et-build
2024-05-15T23:37:14.2695633Z + mkdir -p /pytorch/torchchat/et-build/src
2024-05-15T23:37:14.2696131Z + pushd /pytorch/torchchat/et-build/src
2024-05-15T23:37:14.2696760Z /pytorch/torchchat/et-build/src /pytorch/torchchat /pytorch/torchchat
2024-05-15T23:37:14.2697423Z + git clone https://github.com/pytorch/executorch.git
2024-05-15T23:37:14.2697947Z Cloning into 'executorch'...
2024-05-15T23:37:14.2698390Z remote: Enumerating objects: 84774, done.
2024-05-15T23:37:14.2698896Z remote: Counting objects:   0% (1/116)
2024-05-15T23:37:14.2699381Z remote: Counting objects:   1% (2/116)
2024-05-15T23:37:14.2699860Z remote: Counting objects:   2% (3/116)
2024-05-15T23:37:14.2700348Z remote: Counting objects:   3% (4/116)
2024-05-15T23:37:14.2700830Z remote: Counting objects:   4% (5/116)
2024-05-15T23:37:14.2701299Z remote: Counting objects:   5% (6/116)
2024-05-15T23:37:14.2701776Z remote: Counting objects:   6% (7/116)
2024-05-15T23:37:14.2702258Z remote: Counting objects:   7% (9/116)
2024-05-15T23:37:14.2702744Z remote: Counting objects:   8% (10/116)
2024-05-15T23:37:14.2703240Z remote: Counting objects:   9% (11/116)
2024-05-15T23:37:14.2703730Z remote: Counting objects:  10% (12/116)
2024-05-15T23:37:14.2704218Z remote: Counting objects:  11% (13/116)
2024-05-15T23:37:14.2704709Z remote: Counting objects:  12% (14/116)
2024-05-15T23:37:14.2705198Z remote: Counting objects:  13% (16/116)
2024-05-15T23:37:14.2705689Z remote: Counting objects:  14% (17/116)
2024-05-15T23:37:14.2706168Z remote: Counting objects:  15% (18/116)
2024-05-15T23:37:14.2706652Z remote: Counting objects:  16% (19/116)
2024-05-15T23:37:14.2707144Z remote: Counting objects:  17% (20/116)
2024-05-15T23:37:14.2707627Z remote: Counting objects:  18% (21/116)
2024-05-15T23:37:14.2708114Z remote: Counting objects:  19% (23/116)
2024-05-15T23:37:14.2708603Z remote: Counting objects:  20% (24/116)
2024-05-15T23:37:14.2709081Z remote: Counting objects:  21% (25/116)
2024-05-15T23:37:14.2709574Z remote: Counting objects:  22% (26/116)
2024-05-15T23:37:14.2710064Z remote: Counting objects:  23% (27/116)
2024-05-15T23:37:14.2710539Z remote: Counting objects:  24% (28/116)
2024-05-15T23:37:14.2711021Z remote: Counting objects:  25% (29/116)
2024-05-15T23:37:14.2711537Z remote: Counting objects:  26% (31/116)
2024-05-15T23:37:14.2712040Z remote: Counting objects:  27% (32/116)
2024-05-15T23:37:14.2712524Z remote: Counting objects:  28% (33/116)
2024-05-15T23:37:14.2713015Z remote: Counting objects:  29% (34/116)
2024-05-15T23:37:14.2713490Z remote: Counting objects:  30% (35/116)
2024-05-15T23:37:14.2713977Z remote: Counting objects:  31% (36/116)
2024-05-15T23:37:14.2714460Z remote: Counting objects:  32% (38/116)
2024-05-15T23:37:14.2714938Z remote: Counting objects:  33% (39/116)
2024-05-15T23:37:14.2715424Z remote: Counting objects:  34% (40/116)
2024-05-15T23:37:14.2715907Z remote: Counting objects:  35% (41/116)
2024-05-15T23:37:14.2716388Z remote: Counting objects:  36% (42/116)
2024-05-15T23:37:14.2716873Z remote: Counting objects:  37% (43/116)
2024-05-15T23:37:14.2717362Z remote: Counting objects:  38% (45/116)
2024-05-15T23:37:14.2717939Z remote: Counting objects:  39% (46/116)
2024-05-15T23:37:14.2718426Z remote: Counting objects:  40% (47/116)
2024-05-15T23:37:14.2718909Z remote: Counting objects:  41% (48/116)
2024-05-15T23:37:14.2719385Z remote: Counting objects:  42% (49/116)
2024-05-15T23:37:14.2719871Z remote: Counting objects:  43% (50/116)
2024-05-15T23:37:14.2720355Z remote: Counting objects:  44% (52/116)
2024-05-15T23:37:14.2721113Z remote: Counting objects:  45% (53/116)
2024-05-15T23:37:14.2721897Z remote: Counting objects:  46% (54/116)
2024-05-15T23:37:14.2722559Z remote: Counting objects:  47% (55/116)
2024-05-15T23:37:14.2723041Z remote: Counting objects:  48% (56/116)
2024-05-15T23:37:14.2723528Z remote: Counting objects:  49% (57/116)
2024-05-15T23:37:14.2724015Z remote: Counting objects:  50% (58/116)
2024-05-15T23:37:14.2724592Z remote: Counting objects:  51% (60/116)
2024-05-15T23:37:14.2725083Z remote: Counting objects:  52% (61/116)
2024-05-15T23:37:14.2725569Z remote: Counting objects:  53% (62/116)
2024-05-15T23:37:14.2726043Z remote: Counting objects:  54% (63/116)
2024-05-15T23:37:14.2726527Z remote: Counting objects:  55% (64/116)
2024-05-15T23:37:14.2727009Z remote: Counting objects:  56% (65/116)
2024-05-15T23:37:14.2727490Z remote: Counting objects:  57% (67/116)
2024-05-15T23:37:14.2727965Z remote: Counting objects:  58% (68/116)
2024-05-15T23:37:14.2728447Z remote: Counting objects:  59% (69/116)
2024-05-15T23:37:14.2728936Z remote: Counting objects:  60% (70/116)
2024-05-15T23:37:14.2729415Z remote: Counting objects:  61% (71/116)
2024-05-15T23:37:14.2729899Z remote: Counting objects:  62% (72/116)
2024-05-15T23:37:14.2730381Z remote: Counting objects:  63% (74/116)
2024-05-15T23:37:14.2730855Z remote: Counting objects:  64% (75/116)
2024-05-15T23:37:14.2731347Z remote: Counting objects:  65% (76/116)
2024-05-15T23:37:14.2731827Z remote: Counting objects:  66% (77/116)
2024-05-15T23:37:14.2732307Z remote: Counting objects:  67% (78/116)
2024-05-15T23:37:14.2732787Z remote: Counting objects:  68% (79/116)
2024-05-15T23:37:14.2733270Z remote: Counting objects:  69% (81/116)
2024-05-15T23:37:14.2733744Z remote: Counting objects:  70% (82/116)
2024-05-15T23:37:14.2734221Z remote: Counting objects:  71% (83/116)
2024-05-15T23:37:14.2734704Z remote: Counting objects:  72% (84/116)
2024-05-15T23:37:14.2735182Z remote: Counting objects:  73% (85/116)
2024-05-15T23:37:14.2735668Z remote: Counting objects:  74% (86/116)
2024-05-15T23:37:14.2736149Z remote: Counting objects:  75% (87/116)
2024-05-15T23:37:14.2736625Z remote: Counting objects:  76% (89/116)
2024-05-15T23:37:14.2737105Z remote: Counting objects:  77% (90/116)
2024-05-15T23:37:14.2737587Z remote: Counting objects:  78% (91/116)
2024-05-15T23:37:14.2738073Z remote: Counting objects:  79% (92/116)
2024-05-15T23:37:14.2738554Z remote: Counting objects:  80% (93/116)
2024-05-15T23:37:14.2739040Z remote: Counting objects:  81% (94/116)
2024-05-15T23:37:14.2739513Z remote: Counting objects:  82% (96/116)
2024-05-15T23:37:14.2739992Z remote: Counting objects:  83% (97/116)
2024-05-15T23:37:14.2740474Z remote: Counting objects:  84% (98/116)
2024-05-15T23:37:14.2740952Z remote: Counting objects:  85% (99/116)
2024-05-15T23:37:14.2741444Z remote: Counting objects:  86% (100/116)
2024-05-15T23:37:14.2741947Z remote: Counting objects:  87% (101/116)
2024-05-15T23:37:14.2742447Z remote: Counting objects:  88% (103/116)
2024-05-15T23:37:14.2742942Z remote: Counting objects:  89% (104/116)
2024-05-15T23:37:14.2743440Z remote: Counting objects:  90% (105/116)
2024-05-15T23:37:14.2743931Z remote: Counting objects:  91% (106/116)
2024-05-15T23:37:14.2744424Z remote: Counting objects:  92% (107/116)
2024-05-15T23:37:14.2744924Z remote: Counting objects:  93% (108/116)
2024-05-15T23:37:14.2745410Z remote: Counting objects:  94% (110/116)
2024-05-15T23:37:14.2745902Z remote: Counting objects:  95% (111/116)
2024-05-15T23:37:14.2746397Z remote: Counting objects:  96% (112/116)
2024-05-15T23:37:14.2746880Z remote: Counting objects:  97% (113/116)
2024-05-15T23:37:14.2747374Z remote: Counting objects:  98% (114/116)
2024-05-15T23:37:14.2747863Z remote: Counting objects:  99% (115/116)
2024-05-15T23:37:14.2748349Z remote: Counting objects: 100% (116/116)
2024-05-15T23:37:14.2748877Z remote: Counting objects: 100% (116/116), done.
2024-05-15T23:37:14.2749488Z remote: Compressing objects:   1% (1/78)
2024-05-15T23:37:14.2749991Z remote: Compressing objects:   2% (2/78)
2024-05-15T23:37:14.2750482Z remote: Compressing objects:   3% (3/78)
2024-05-15T23:37:14.2750979Z remote: Compressing objects:   5% (4/78)
2024-05-15T23:37:14.2751478Z remote: Compressing objects:   6% (5/78)
2024-05-15T23:37:14.2752024Z remote: Compressing objects:   7% (6/78)
2024-05-15T23:37:14.2752524Z remote: Compressing objects:   8% (7/78)
2024-05-15T23:37:14.2753023Z remote: Compressing objects:  10% (8/78)
2024-05-15T23:37:14.2753512Z remote: Compressing objects:  11% (9/78)
2024-05-15T23:37:14.2754018Z remote: Compressing objects:  12% (10/78)
2024-05-15T23:37:14.2754536Z remote: Compressing objects:  14% (11/78)
2024-05-15T23:37:14.2755043Z remote: Compressing objects:  15% (12/78)
2024-05-15T23:37:15.3348944Z remote: Compressing objects:  16% (13/78)
2024-05-15T23:37:15.3349752Z remote: Compressing objects:  17% (14/78)
2024-05-15T23:37:15.3350492Z remote: Compressing objects:  19% (15/78)
2024-05-15T23:37:15.3351184Z remote: Compressing objects:  20% (16/78)
2024-05-15T23:37:15.3351750Z remote: Compressing objects:  21% (17/78)
2024-05-15T23:37:15.3352448Z remote: Compressing objects:  23% (18/78)
2024-05-15T23:37:15.3353124Z remote: Compressing objects:  24% (19/78)
2024-05-15T23:37:15.3353828Z remote: Compressing objects:  25% (20/78)
2024-05-15T23:37:15.3354532Z remote: Compressing objects:  26% (21/78)
2024-05-15T23:37:15.3355208Z remote: Compressing objects:  28% (22/78)
2024-05-15T23:37:15.3355716Z remote: Compressing objects:  29% (23/78)
2024-05-15T23:37:15.3356216Z remote: Compressing objects:  30% (24/78)
2024-05-15T23:37:15.3356715Z remote: Compressing objects:  32% (25/78)
2024-05-15T23:37:15.3357214Z remote: Compressing objects:  33% (26/78)
2024-05-15T23:37:15.3358034Z remote: Compressing objects:  34% (27/78)
2024-05-15T23:37:15.3358735Z remote: Compressing objects:  35% (28/78)
2024-05-15T23:37:15.3359424Z remote: Compressing objects:  37% (29/78)
2024-05-15T23:37:15.3360122Z remote: Compressing objects:  38% (30/78)
2024-05-15T23:37:15.3361010Z remote: Compressing objects:  39% (31/78)
2024-05-15T23:37:15.3361714Z remote: Compressing objects:  41% (32/78)
2024-05-15T23:37:15.3362257Z remote: Compressing objects:  42% (33/78)
2024-05-15T23:37:15.3362765Z remote: Compressing objects:  43% (34/78)
2024-05-15T23:37:15.3363266Z remote: Compressing objects:  44% (35/78)
2024-05-15T23:37:15.3363762Z remote: Compressing objects:  46% (36/78)
2024-05-15T23:37:15.3364267Z remote: Compressing objects:  47% (37/78)
2024-05-15T23:37:15.3364761Z remote: Compressing objects:  48% (38/78)
2024-05-15T23:37:15.3365257Z remote: Compressing objects:  50% (39/78)
2024-05-15T23:37:15.3365771Z remote: Compressing objects:  51% (40/78)
2024-05-15T23:37:15.3366264Z remote: Compressing objects:  52% (41/78)
2024-05-15T23:37:15.3366761Z remote: Compressing objects:  53% (42/78)
2024-05-15T23:37:15.3367268Z remote: Compressing objects:  55% (43/78)
2024-05-15T23:37:15.3367760Z remote: Compressing objects:  56% (44/78)
2024-05-15T23:37:15.3368266Z remote: Compressing objects:  57% (45/78)
2024-05-15T23:37:15.3368767Z remote: Compressing objects:  58% (46/78)
2024-05-15T23:37:15.3369260Z remote: Compressing objects:  60% (47/78)
2024-05-15T23:37:15.3369771Z remote: Compressing objects:  61% (48/78)
2024-05-15T23:37:15.3370271Z remote: Compressing objects:  62% (49/78)
2024-05-15T23:37:15.3370776Z remote: Compressing objects:  64% (50/78)
2024-05-15T23:37:15.3371269Z remote: Compressing objects:  65% (51/78)
2024-05-15T23:37:15.3371768Z remote: Compressing objects:  66% (52/78)
2024-05-15T23:37:15.3372267Z remote: Compressing objects:  67% (53/78)
2024-05-15T23:37:15.3372764Z remote: Compressing objects:  69% (54/78)
2024-05-15T23:37:15.3373267Z remote: Compressing objects:  70% (55/78)
2024-05-15T23:37:15.3373773Z remote: Compressing objects:  71% (56/78)
2024-05-15T23:37:15.3374540Z remote: Compressing objects:  73% (57/78)
2024-05-15T23:37:15.3375042Z remote: Compressing objects:  74% (58/78)
2024-05-15T23:37:15.3375542Z remote: Compressing objects:  75% (59/78)
2024-05-15T23:37:15.3376035Z remote: Compressing objects:  76% (60/78)
2024-05-15T23:37:15.3376620Z remote: Compressing objects:  78% (61/78)
2024-05-15T23:37:15.3377132Z remote: Compressing objects:  79% (62/78)
2024-05-15T23:37:15.3377628Z remote: Compressing objects:  80% (63/78)
2024-05-15T23:37:15.3378127Z remote: Compressing objects:  82% (64/78)
2024-05-15T23:37:15.3378626Z remote: Compressing objects:  83% (65/78)
2024-05-15T23:37:15.3379117Z remote: Compressing objects:  84% (66/78)
2024-05-15T23:37:15.3379613Z remote: Compressing objects:  85% (67/78)
2024-05-15T23:37:15.3380111Z remote: Compressing objects:  87% (68/78)
2024-05-15T23:37:15.3380604Z remote: Compressing objects:  88% (69/78)
2024-05-15T23:37:15.3381113Z remote: Compressing objects:  89% (70/78)
2024-05-15T23:37:15.3381612Z remote: Compressing objects:  91% (71/78)
2024-05-15T23:37:15.3382105Z remote: Compressing objects:  92% (72/78)
2024-05-15T23:37:15.3382603Z remote: Compressing objects:  93% (73/78)
2024-05-15T23:37:15.3383104Z remote: Compressing objects:  94% (74/78)
2024-05-15T23:37:15.3383604Z remote: Compressing objects:  96% (75/78)
2024-05-15T23:37:15.3384103Z remote: Compressing objects:  97% (76/78)
2024-05-15T23:37:15.3384606Z remote: Compressing objects:  98% (77/78)
2024-05-15T23:37:15.3385100Z remote: Compressing objects: 100% (78/78)
2024-05-15T23:37:15.3385635Z remote: Compressing objects: 100% (78/78), done.
2024-05-15T23:37:15.3386115Z Receiving objects:   0% (1/84774)
2024-05-15T23:37:15.3386506Z Receiving objects:   1% (848/84774)
2024-05-15T23:37:15.3413792Z Receiving objects:   2% (1696/84774)
2024-05-15T23:37:15.3414346Z Receiving objects:   3% (2544/84774)
2024-05-15T23:37:15.3414749Z Receiving objects:   4% (3391/84774)
2024-05-15T23:37:15.3415176Z Receiving objects:   5% (4239/84774)
2024-05-15T23:37:15.3415624Z Receiving objects:   6% (5087/84774)
2024-05-15T23:37:15.3416026Z Receiving objects:   7% (5935/84774)
2024-05-15T23:37:15.3416413Z Receiving objects:   8% (6782/84774)
2024-05-15T23:37:15.3416812Z Receiving objects:   9% (7630/84774)
2024-05-15T23:37:15.3417218Z Receiving objects:  10% (8478/84774)
2024-05-15T23:37:15.3417607Z Receiving objects:  11% (9326/84774)
2024-05-15T23:37:15.3418008Z Receiving objects:  12% (10173/84774)
2024-05-15T23:37:15.3418413Z Receiving objects:  13% (11021/84774)
2024-05-15T23:37:15.3418808Z Receiving objects:  14% (11869/84774)
2024-05-15T23:37:15.3419207Z Receiving objects:  15% (12717/84774)
2024-05-15T23:37:15.3419609Z Receiving objects:  16% (13564/84774)
2024-05-15T23:37:15.3420104Z Receiving objects:  17% (14412/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3420717Z Receiving objects:  18% (15260/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3421325Z Receiving objects:  19% (16108/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3421918Z Receiving objects:  20% (16955/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3422523Z Receiving objects:  21% (17803/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3423113Z Receiving objects:  22% (18651/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3423717Z Receiving objects:  23% (19499/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3424297Z Receiving objects:  24% (20346/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3424891Z Receiving objects:  25% (21194/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3425488Z Receiving objects:  26% (22042/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3426068Z Receiving objects:  27% (22889/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3426660Z Receiving objects:  28% (23737/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3427250Z Receiving objects:  29% (24585/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3427825Z Receiving objects:  30% (25433/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3428704Z Receiving objects:  31% (26280/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3429290Z Receiving objects:  32% (27128/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3429878Z Receiving objects:  33% (27976/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3430546Z Receiving objects:  34% (28824/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3431137Z Receiving objects:  35% (29671/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3431722Z Receiving objects:  36% (30519/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3432298Z Receiving objects:  37% (31367/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3432891Z Receiving objects:  38% (32215/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3433476Z Receiving objects:  39% (33062/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3434053Z Receiving objects:  40% (33910/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3434639Z Receiving objects:  41% (34758/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3435242Z Receiving objects:  42% (35606/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3435818Z Receiving objects:  43% (36453/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3436400Z Receiving objects:  44% (37301/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3436990Z Receiving objects:  45% (38149/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3437682Z Receiving objects:  46% (38997/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3438262Z Receiving objects:  47% (39844/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3438844Z Receiving objects:  48% (40692/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3439429Z Receiving objects:  49% (41540/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3440005Z Receiving objects:  50% (42387/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3440595Z Receiving objects:  51% (43235/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3441308Z Receiving objects:  52% (44083/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3441892Z Receiving objects:  53% (44931/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3442477Z Receiving objects:  54% (45778/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3443061Z Receiving objects:  55% (46626/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3443640Z Receiving objects:  56% (47474/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3444220Z Receiving objects:  57% (48322/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3444805Z Receiving objects:  58% (49169/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3445381Z Receiving objects:  59% (50017/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3445962Z Receiving objects:  60% (50865/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3446546Z Receiving objects:  61% (51713/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3447132Z Receiving objects:  62% (52560/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3447708Z Receiving objects:  63% (53408/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3448298Z Receiving objects:  64% (54256/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3448882Z Receiving objects:  65% (55104/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3449462Z Receiving objects:  66% (55951/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3450052Z Receiving objects:  67% (56799/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3450643Z Receiving objects:  68% (57647/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3451218Z Receiving objects:  69% (58495/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3451806Z Receiving objects:  70% (59342/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3452394Z Receiving objects:  71% (60190/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3452970Z Receiving objects:  72% (61038/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3453557Z Receiving objects:  73% (61886/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3454137Z Receiving objects:  74% (62733/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3454803Z Receiving objects:  75% (63581/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3455384Z Receiving objects:  76% (64429/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3455964Z Receiving objects:  77% (65276/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3456554Z Receiving objects:  78% (66124/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3457199Z Receiving objects:  79% (66972/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3457785Z Receiving objects:  80% (67820/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3458370Z Receiving objects:  81% (68667/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3458944Z Receiving objects:  81% (69316/84774), 25.44 MiB | 50.87 MiB/s
2024-05-15T23:37:15.3459528Z Receiving objects:  82% (69515/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:15.3460112Z Receiving objects:  83% (70363/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:15.3460691Z Receiving objects:  84% (71211/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:15.3461282Z Receiving objects:  85% (72058/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:15.3461864Z Receiving objects:  86% (72906/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:15.3462444Z Receiving objects:  87% (73754/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:15.3463025Z Receiving objects:  88% (74602/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6157255Z Receiving objects:  89% (75449/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6158246Z Receiving objects:  90% (76297/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6159094Z Receiving objects:  91% (77145/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6159915Z Receiving objects:  92% (77993/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6160710Z Receiving objects:  93% (78840/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6161836Z Receiving objects:  94% (79688/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6162695Z Receiving objects:  95% (80536/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6163503Z Receiving objects:  96% (81384/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6164280Z Receiving objects:  97% (82231/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6165069Z Receiving objects:  98% (83079/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6165859Z Receiving objects:  99% (83927/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6166750Z remote: Total 84774 (delta 67), reused 71 (delta 38), pack-reused 84658
2024-05-15T23:37:17.6167429Z Receiving objects: 100% (84774/84774), 50.61 MiB | 50.60 MiB/s
2024-05-15T23:37:17.6168067Z Receiving objects: 100% (84774/84774), 57.88 MiB | 49.98 MiB/s, done.
2024-05-15T23:37:17.6168669Z Resolving deltas:   0% (0/65385)
2024-05-15T23:37:17.6169052Z Resolving deltas:   1% (654/65385)
2024-05-15T23:37:17.6169432Z Resolving deltas:   2% (1309/65385)
2024-05-15T23:37:17.6169828Z Resolving deltas:   3% (1962/65385)
2024-05-15T23:37:17.6170221Z Resolving deltas:   4% (2616/65385)
2024-05-15T23:37:17.6170605Z Resolving deltas:   5% (3270/65385)
2024-05-15T23:37:17.6171002Z Resolving deltas:   6% (3924/65385)
2024-05-15T23:37:17.6171392Z Resolving deltas:   7% (4577/65385)
2024-05-15T23:37:17.6171772Z Resolving deltas:   8% (5231/65385)
2024-05-15T23:37:17.6172158Z Resolving deltas:   9% (5886/65385)
2024-05-15T23:37:17.6172549Z Resolving deltas:  10% (6539/65385)
2024-05-15T23:37:17.6172932Z Resolving deltas:  11% (7194/65385)
2024-05-15T23:37:17.6173316Z Resolving deltas:  12% (7848/65385)
2024-05-15T23:37:17.6173705Z Resolving deltas:  13% (8501/65385)
2024-05-15T23:37:17.6174083Z Resolving deltas:  14% (9156/65385)
2024-05-15T23:37:17.6174468Z Resolving deltas:  15% (9808/65385)
2024-05-15T23:37:17.6174857Z Resolving deltas:  16% (10462/65385)
2024-05-15T23:37:17.6175249Z Resolving deltas:  17% (11116/65385)
2024-05-15T23:37:17.6175647Z Resolving deltas:  18% (11770/65385)
2024-05-15T23:37:17.6176047Z Resolving deltas:  19% (12424/65385)
2024-05-15T23:37:17.6176434Z Resolving deltas:  20% (13077/65385)
2024-05-15T23:37:17.6176830Z Resolving deltas:  21% (13731/65385)
2024-05-15T23:37:17.6177424Z Resolving deltas:  22% (14387/65385)
2024-05-15T23:37:17.6177812Z Resolving deltas:  23% (15039/65385)
2024-05-15T23:37:17.6178204Z Resolving deltas:  24% (15694/65385)
2024-05-15T23:37:17.6178597Z Resolving deltas:  25% (16347/65385)
2024-05-15T23:37:17.6178983Z Resolving deltas:  26% (17001/65385)
2024-05-15T23:37:17.6179459Z Resolving deltas:  27% (17654/65385)
2024-05-15T23:37:17.6179854Z Resolving deltas:  28% (18308/65385)
2024-05-15T23:37:17.6180236Z Resolving deltas:  29% (18964/65385)
2024-05-15T23:37:17.6180626Z Resolving deltas:  30% (19616/65385)
2024-05-15T23:37:17.6181016Z Resolving deltas:  31% (20270/65385)
2024-05-15T23:37:17.6181398Z Resolving deltas:  32% (20924/65385)
2024-05-15T23:37:17.6181788Z Resolving deltas:  33% (21580/65385)
2024-05-15T23:37:17.6182177Z Resolving deltas:  34% (22231/65385)
2024-05-15T23:37:17.6182563Z Resolving deltas:  35% (22886/65385)
2024-05-15T23:37:17.6182954Z Resolving deltas:  36% (23539/65385)
2024-05-15T23:37:17.6183355Z Resolving deltas:  37% (24194/65385)
2024-05-15T23:37:17.6183739Z Resolving deltas:  38% (24847/65385)
2024-05-15T23:37:17.6184127Z Resolving deltas:  39% (25501/65385)
2024-05-15T23:37:17.6184516Z Resolving deltas:  40% (26154/65385)
2024-05-15T23:37:17.6184904Z Resolving deltas:  41% (26808/65385)
2024-05-15T23:37:17.6185293Z Resolving deltas:  42% (27462/65385)
2024-05-15T23:37:17.6185695Z Resolving deltas:  43% (28116/65385)
2024-05-15T23:37:17.6186078Z Resolving deltas:  44% (28770/65385)
2024-05-15T23:37:17.6186469Z Resolving deltas:  45% (29424/65385)
2024-05-15T23:37:17.6186856Z Resolving deltas:  46% (30078/65385)
2024-05-15T23:37:17.6187240Z Resolving deltas:  47% (30731/65385)
2024-05-15T23:37:17.6187635Z Resolving deltas:  48% (31385/65385)
2024-05-15T23:37:17.6188025Z Resolving deltas:  49% (32039/65385)
2024-05-15T23:37:17.6188414Z Resolving deltas:  50% (32693/65385)
2024-05-15T23:37:17.6188808Z Resolving deltas:  51% (33347/65385)
2024-05-15T23:37:17.6189196Z Resolving deltas:  52% (34002/65385)
2024-05-15T23:37:17.6189584Z Resolving deltas:  53% (34655/65385)
2024-05-15T23:37:17.6189985Z Resolving deltas:  54% (35308/65385)
2024-05-15T23:37:17.6190377Z Resolving deltas:  55% (35962/65385)
2024-05-15T23:37:17.6190761Z Resolving deltas:  56% (36616/65385)
2024-05-15T23:37:17.6191163Z Resolving deltas:  57% (37272/65385)
2024-05-15T23:37:17.6191561Z Resolving deltas:  58% (37924/65385)
2024-05-15T23:37:17.6191943Z Resolving deltas:  59% (38578/65385)
2024-05-15T23:37:17.6192335Z Resolving deltas:  60% (39231/65385)
2024-05-15T23:37:17.6192725Z Resolving deltas:  61% (39885/65385)
2024-05-15T23:37:17.6193107Z Resolving deltas:  62% (40540/65385)
2024-05-15T23:37:17.6193497Z Resolving deltas:  63% (41193/65385)
2024-05-15T23:37:17.6193885Z Resolving deltas:  64% (41847/65385)
2024-05-15T23:37:17.6194266Z Resolving deltas:  65% (42502/65385)
2024-05-15T23:37:17.6194660Z Resolving deltas:  66% (43155/65385)
2024-05-15T23:37:17.6195049Z Resolving deltas:  67% (43808/65385)
2024-05-15T23:37:17.6195439Z Resolving deltas:  68% (44462/65385)
2024-05-15T23:37:17.6195832Z Resolving deltas:  69% (45118/65385)
2024-05-15T23:37:17.6196220Z Resolving deltas:  70% (45770/65385)
2024-05-15T23:37:17.6196605Z Resolving deltas:  71% (46424/65385)
2024-05-15T23:37:17.6196998Z Resolving deltas:  72% (47079/65385)
2024-05-15T23:37:17.6197388Z Resolving deltas:  73% (47732/65385)
2024-05-15T23:37:17.6197908Z Resolving deltas:  74% (48387/65385)
2024-05-15T23:37:17.6198301Z Resolving deltas:  75% (49039/65385)
2024-05-15T23:37:17.6198690Z Resolving deltas:  76% (49694/65385)
2024-05-15T23:37:17.6199074Z Resolving deltas:  77% (50347/65385)
2024-05-15T23:37:17.6199466Z Resolving deltas:  78% (51002/65385)
2024-05-15T23:37:17.6199855Z Resolving deltas:  79% (51655/65385)
2024-05-15T23:37:17.6200239Z Resolving deltas:  80% (52308/65385)
2024-05-15T23:37:17.6200636Z Resolving deltas:  81% (52962/65385)
2024-05-15T23:37:17.6201303Z Resolving deltas:  82% (53617/65385)
2024-05-15T23:37:17.6201690Z Resolving deltas:  82% (53654/65385)
2024-05-15T23:37:17.6202180Z Resolving deltas:  83% (54270/65385)
2024-05-15T23:37:17.6202571Z Resolving deltas:  84% (54924/65385)
2024-05-15T23:37:17.6202955Z Resolving deltas:  85% (55578/65385)
2024-05-15T23:37:17.6203345Z Resolving deltas:  86% (56232/65385)
2024-05-15T23:37:17.6203737Z Resolving deltas:  87% (56885/65385)
2024-05-15T23:37:17.6204186Z Resolving deltas:  88% (57539/65385)
2024-05-15T23:37:17.6204581Z Resolving deltas:  89% (58194/65385)
2024-05-15T23:37:17.6204972Z Resolving deltas:  90% (58847/65385)
2024-05-15T23:37:17.6205470Z Resolving deltas:  91% (59501/65385)
2024-05-15T23:37:17.6206019Z Resolving deltas:  92% (60155/65385)
2024-05-15T23:37:17.6206556Z Resolving deltas:  93% (60809/65385)
2024-05-15T23:37:17.6207097Z Resolving deltas:  94% (61463/65385)
2024-05-15T23:37:17.6207645Z Resolving deltas:  95% (62116/65385)
2024-05-15T23:37:17.6208206Z Resolving deltas:  96% (62770/65385)
2024-05-15T23:37:17.6208776Z Resolving deltas:  97% (63424/65385)
2024-05-15T23:37:17.6209332Z Resolving deltas:  98% (64079/65385)
2024-05-15T23:37:17.6209903Z Resolving deltas:  99% (64732/65385)
2024-05-15T23:37:17.6210471Z Resolving deltas: 100% (65385/65385)
2024-05-15T23:37:17.6211042Z Resolving deltas: 100% (65385/65385), done.
2024-05-15T23:37:17.6211619Z + cd executorch
2024-05-15T23:37:17.6212209Z ++ cat /pytorch/torchchat/.pins/et-pin.txt
2024-05-15T23:37:17.6212954Z + git checkout fff20a738c5bb5c1cb259468b0a8aa6c6be8cd38
2024-05-15T23:37:17.6213945Z Note: switching to 'fff20a738c5bb5c1cb259468b0a8aa6c6be8cd38'.
2024-05-15T23:37:17.6214509Z 
2024-05-15T23:37:17.6214894Z You are in 'detached HEAD' state. You can look around, make experimental
2024-05-15T23:37:17.6215652Z changes and commit them, and you can discard any commits you make in this
2024-05-15T23:37:17.6216389Z state without impacting any branches by switching back to a branch.
2024-05-15T23:37:17.6216818Z 
2024-05-15T23:37:17.6217124Z If you want to create a new branch to retain commits you create, you may
2024-05-15T23:37:17.6217895Z do so (now or later) by using -c with the switch command. Example:
2024-05-15T23:37:17.6218313Z 
2024-05-15T23:37:17.6218487Z   git switch -c <new-branch-name>
2024-05-15T23:37:17.6218757Z 
2024-05-15T23:37:17.6218888Z Or undo this operation with:
2024-05-15T23:37:17.6219127Z 
2024-05-15T23:37:17.6219247Z   git switch -
2024-05-15T23:37:17.6219422Z 
2024-05-15T23:37:17.6219750Z Turn off this advice by setting config variable advice.detachedHead to false
2024-05-15T23:37:17.6220235Z 
2024-05-15T23:37:17.6220434Z HEAD is now at fff20a738 Update pytorch pin (#3562)
2024-05-15T23:37:17.6220994Z + echo 'Install executorch: submodule update'
2024-05-15T23:37:17.6221444Z Install executorch: submodule update
2024-05-15T23:37:17.6221842Z + git submodule sync
2024-05-15T23:37:17.6222206Z + git submodule update --init
2024-05-15T23:37:17.6223509Z Submodule 'backends/arm/third-party/ethos-u-core-driver' (https://review.mlplatform.org/ml/ethos-u/ethos-u-core-driver) registered for path 'backends/arm/third-party/ethos-u-core-driver'
2024-05-15T23:37:17.6225513Z Submodule 'backends/arm/third-party/serialization_lib' (https://review.mlplatform.org/tosa/serialization_lib) registered for path 'backends/arm/third-party/serialization_lib'
2024-05-15T23:37:17.6227388Z Submodule 'backends/vulkan/third-party/Vulkan-Headers' (https://github.com/KhronosGroup/Vulkan-Headers) registered for path 'backends/vulkan/third-party/Vulkan-Headers'
2024-05-15T23:37:17.6229461Z Submodule 'backends/vulkan/third-party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'backends/vulkan/third-party/VulkanMemoryAllocator'
2024-05-15T23:37:17.6231291Z Submodule 'backends/vulkan/third-party/volk' (https://github.com/zeux/volk) registered for path 'backends/vulkan/third-party/volk'
2024-05-15T23:37:17.6232809Z Submodule 'backends/xnnpack/third-party/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'backends/xnnpack/third-party/FP16'
2024-05-15T23:37:17.6234494Z Submodule 'backends/xnnpack/third-party/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'backends/xnnpack/third-party/FXdiv'
2024-05-15T23:37:17.6236146Z Submodule 'backends/xnnpack/third-party/XNNPACK' (https://github.com/digantdesai/XNNPACK.git) registered for path 'backends/xnnpack/third-party/XNNPACK'
2024-05-15T23:37:17.6237976Z Submodule 'backends/xnnpack/third-party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'backends/xnnpack/third-party/cpuinfo'
2024-05-15T23:37:17.6239702Z Submodule 'backends/xnnpack/third-party/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'backends/xnnpack/third-party/pthreadpool'
2024-05-15T23:37:17.6242320Z Submodule 'examples/models/llama2/third-party/abseil-cpp' (https://github.com/abseil/abseil-cpp.git) registered for path 'examples/models/llama2/third-party/abseil-cpp'
2024-05-15T23:37:17.6244126Z Submodule 'examples/models/llama2/third-party/re2' (https://github.com/google/re2.git) registered for path 'examples/models/llama2/third-party/re2'
2024-05-15T23:37:17.6245651Z Submodule 'examples/third-party/LLaVA' (https://github.com/haotian-liu/LLaVA.git) registered for path 'examples/third-party/LLaVA'
2024-05-15T23:37:17.6247125Z Submodule 'examples/third-party/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'examples/third-party/fbjni'
2024-05-15T23:37:17.6248894Z Submodule 'kernels/optimized/third-party/eigen' (https://gitlab.com/libeigen/eigen.git) registered for path 'kernels/optimized/third-party/eigen'
2024-05-15T23:37:17.6250381Z Submodule 'third-party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third-party/flatbuffers'
2024-05-15T23:37:17.6251685Z Submodule 'third-party/flatcc' (https://github.com/dvidelabs/flatcc.git) registered for path 'third-party/flatcc'
2024-05-15T23:37:17.6252919Z Submodule 'third-party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third-party/gflags'
2024-05-15T23:37:53.5071229Z Submodule 'third-party/googletest' (https://github.com/google/googletest.git) registered for path 'third-party/googletest'
2024-05-15T23:37:53.5072646Z Submodule 'third-party/ios-cmake' (https://github.com/leetal/ios-cmake) registered for path 'third-party/ios-cmake'
2024-05-15T23:37:53.5074585Z Submodule 'third-party/lm-evaluation-harness' (https://github.com/EleutherAI/lm-evaluation-harness) registered for path 'third-party/lm-evaluation-harness'
2024-05-15T23:37:53.5076377Z Submodule 'third-party/prelude' (https://github.com/facebook/buck2-prelude.git) registered for path 'third-party/prelude'
2024-05-15T23:37:53.5078061Z Submodule 'third-party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third-party/pybind11'
2024-05-15T23:37:53.5079763Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/arm/third-party/ethos-u-core-driver'...
2024-05-15T23:37:53.5081537Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/arm/third-party/serialization_lib'...
2024-05-15T23:37:53.5082744Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/vulkan/third-party/Vulkan-Headers'...
2024-05-15T23:37:53.5084233Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/vulkan/third-party/VulkanMemoryAllocator'...
2024-05-15T23:37:53.5085856Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/vulkan/third-party/volk'...
2024-05-15T23:37:53.5087029Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/xnnpack/third-party/FP16'...
2024-05-15T23:37:53.5088109Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/xnnpack/third-party/FXdiv'...
2024-05-15T23:37:53.5089212Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/xnnpack/third-party/XNNPACK'...
2024-05-15T23:37:53.5090316Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/xnnpack/third-party/cpuinfo'...
2024-05-15T23:37:53.5091447Z Cloning into '/pytorch/torchchat/et-build/src/executorch/backends/xnnpack/third-party/pthreadpool'...
2024-05-15T23:37:53.5092984Z Cloning into '/pytorch/torchchat/et-build/src/executorch/examples/models/llama2/third-party/abseil-cpp'...
2024-05-15T23:37:53.5094156Z Cloning into '/pytorch/torchchat/et-build/src/executorch/examples/models/llama2/third-party/re2'...
2024-05-15T23:37:53.5095209Z Cloning into '/pytorch/torchchat/et-build/src/executorch/examples/third-party/LLaVA'...
2024-05-15T23:37:53.5096284Z Cloning into '/pytorch/torchchat/et-build/src/executorch/examples/third-party/fbjni'...
2024-05-15T23:37:53.5097333Z Cloning into '/pytorch/torchchat/et-build/src/executorch/kernels/optimized/third-party/eigen'...
2024-05-15T23:37:53.5098343Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/flatbuffers'...
2024-05-15T23:37:53.5099250Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/flatcc'...
2024-05-15T23:37:53.5100124Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/gflags'...
2024-05-15T23:37:53.5101026Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/googletest'...
2024-05-15T23:37:53.5101955Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/ios-cmake'...
2024-05-15T23:37:53.5102941Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/lm-evaluation-harness'...
2024-05-15T23:37:53.5103924Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/prelude'...
2024-05-15T23:37:53.5104824Z Cloning into '/pytorch/torchchat/et-build/src/executorch/third-party/pybind11'...
2024-05-15T23:37:53.5105960Z Submodule path 'backends/arm/third-party/ethos-u-core-driver': checked out '90f9df900acdc0718ecd2dfdc53780664758dec5'
2024-05-15T23:37:53.5107264Z Submodule path 'backends/arm/third-party/serialization_lib': checked out '187af0d41fe75d08d2a7ec84c1b4d24b9b641ed2'
2024-05-15T23:37:53.5108537Z Submodule path 'backends/vulkan/third-party/Vulkan-Headers': checked out '0c5928795a66e93f65e5e68a36d8daa79a209dc2'
2024-05-15T23:37:53.5109854Z Submodule path 'backends/vulkan/third-party/VulkanMemoryAllocator': checked out 'a6bfc237255a6bac1513f7c1ebde6d8aed6b5191'
2024-05-15T23:37:53.5111115Z Submodule path 'backends/vulkan/third-party/volk': checked out 'b3bc21e584f97400b6884cb2a541a56c6a5ddba3'
2024-05-15T23:37:53.5112289Z Submodule path 'backends/xnnpack/third-party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3'
2024-05-15T23:37:53.5113532Z Submodule path 'backends/xnnpack/third-party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1'
2024-05-15T23:37:53.5114735Z Submodule path 'backends/xnnpack/third-party/XNNPACK': checked out '70bbd07c1de310a1f89379c746b8f24a506c3283'
2024-05-15T23:37:53.5115936Z Submodule path 'backends/xnnpack/third-party/cpuinfo': checked out 'd6860c477c99f1fce9e28eb206891af3c0e1a1d7'
2024-05-15T23:37:53.5117174Z Submodule path 'backends/xnnpack/third-party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2024-05-15T23:37:53.5118607Z Submodule path 'examples/models/llama2/third-party/abseil-cpp': checked out '854193071498f330b71083d7e06a7cd18e02a4cc'
2024-05-15T23:37:53.5119882Z Submodule path 'examples/models/llama2/third-party/re2': checked out 'ac82d4f628a2045d89964ae11c48403d3b091af1'
2024-05-15T23:37:53.5121345Z Submodule path 'examples/third-party/LLaVA': checked out '7440ec9ee37b0374c6b5548818e89878e38f3353'
2024-05-15T23:37:53.5122826Z Submodule path 'examples/third-party/fbjni': checked out '52a14f0daa889a20d8984798b8d96eb03cebd334'
2024-05-15T23:37:53.5124389Z Submodule path 'kernels/optimized/third-party/eigen': checked out 'a39ade4ccf99df845ec85c580fbbb324f71952fa'
2024-05-15T23:37:53.5125930Z Submodule path 'third-party/flatbuffers': checked out '0100f6a5779831fa7a651e4b67ef389a8752bd9b'
2024-05-15T23:37:53.5127034Z Submodule path 'third-party/flatcc': checked out 'eb5228f76d395bffe31a33398ff73e60dfba5914'
2024-05-15T23:37:53.5128044Z Submodule path 'third-party/gflags': checked out 'a738fdf9338412f83ab3f26f31ac11ed3f3ec4bd'
2024-05-15T23:37:53.5129066Z Submodule path 'third-party/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2024-05-15T23:37:53.5130244Z Submodule path 'third-party/ios-cmake': checked out '06465b27698424cf4a04a5ca4904d50a3c966c45'
2024-05-15T23:37:53.5131357Z Submodule path 'third-party/lm-evaluation-harness': checked out '49695e8d94c3ab011b7ae8814d809de30b1b1182'
2024-05-15T23:37:53.5132525Z Submodule path 'third-party/prelude': checked out '923237d9e55a8f5a0ad0eeb1154388e8f159f62f'
2024-05-15T23:37:53.5133545Z Submodule path 'third-party/pybind11': checked out '8c7b8dd0ae74b36b7d42f77b0dd4096ebb7f4ab1'
2024-05-15T23:37:53.5134207Z + popd
2024-05-15T23:37:53.5134517Z /pytorch/torchchat /pytorch/torchchat
2024-05-15T23:37:53.5134968Z + install_executorch_libs pipefail
2024-05-15T23:37:53.5137851Z + export 'CMAKE_ARGS=        -DCMAKE_BUILD_TYPE=Release     -DEXECUTORCH_ENABLE_LOGGING=ON     -DEXECUTORCH_LOG_LEVEL=Info     -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON     -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON     -DEXECUTORCH_BUILD_XNNPACK=ON     -DCMAKE_PREFIX_PATH=/opt/conda/lib/python3.11/site-packages     -DCMAKE_INSTALL_PREFIX=/pytorch/torchchat/et-build/install'
2024-05-15T23:37:53.5142002Z + CMAKE_ARGS='        -DCMAKE_BUILD_TYPE=Release     -DEXECUTORCH_ENABLE_LOGGING=ON     -DEXECUTORCH_LOG_LEVEL=Info     -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON     -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON     -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON     -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON     -DEXECUTORCH_BUILD_XNNPACK=ON     -DCMAKE_PREFIX_PATH=/opt/conda/lib/python3.11/site-packages     -DCMAKE_INSTALL_PREFIX=/pytorch/torchchat/et-build/install'
2024-05-15T23:37:53.5144249Z + export 'CMAKE_BUILD_ARGS=--target install'
2024-05-15T23:37:53.5144741Z + CMAKE_BUILD_ARGS='--target install'
2024-05-15T23:37:53.5145174Z + install_executorch_python_libs pipefail
2024-05-15T23:37:53.5145684Z + '[' '!' -d /pytorch/torchchat/et-build ']'
2024-05-15T23:37:53.5146182Z + pushd /pytorch/torchchat/et-build/src
2024-05-15T23:37:53.5146824Z /pytorch/torchchat/et-build/src /pytorch/torchchat /pytorch/torchchat
2024-05-15T23:37:53.5147391Z + cd executorch
2024-05-15T23:37:53.5147809Z + echo 'Building and installing python libraries'
2024-05-15T23:37:53.5148310Z Building and installing python libraries
2024-05-15T23:37:53.5148763Z + '[' pipefail = false ']'
2024-05-15T23:37:53.5149172Z + echo 'Installing pybind'
2024-05-15T23:37:53.5149515Z Installing pybind
2024-05-15T23:37:53.5149943Z + bash ./install_requirements.sh --pybind xnnpack
2024-05-15T23:37:53.5150688Z Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
2024-05-15T23:37:53.5151377Z Collecting torch==2.4.0.dev20240507
2024-05-15T23:37:53.5152366Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torch-2.4.0.dev20240507%2Bcpu-cp311-cp311-linux_x86_64.whl (192.7 MB)
2024-05-15T23:37:53.5153607Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/192.7 MB ? eta -:--:--
2024-05-15T23:37:53.5154728Z      ━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.2/192.7 MB 246.6 MB/s eta 0:00:01
2024-05-15T23:37:53.5155843Z      ━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 15.9/192.7 MB 224.1 MB/s eta 0:00:01
2024-05-15T23:37:53.5157026Z      ━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 22.8/192.7 MB 206.1 MB/s eta 0:00:01
2024-05-15T23:37:53.5158214Z      ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 30.1/192.7 MB 209.5 MB/s eta 0:00:01
2024-05-15T23:37:53.5159317Z      ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 37.4/192.7 MB 211.6 MB/s eta 0:00:01
2024-05-15T23:37:55.2427557Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 45.7/192.7 MB 234.3 MB/s eta 0:00:01
2024-05-15T23:37:55.2429213Z      ━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 54.4/192.7 MB 243.1 MB/s eta 0:00:01
2024-05-15T23:37:55.2430318Z      ━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 63.0/192.7 MB 250.8 MB/s eta 0:00:01
2024-05-15T23:37:55.2431446Z      ━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━ 69.1/192.7 MB 198.0 MB/s eta 0:00:01
2024-05-15T23:37:55.2432540Z      ━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━ 77.1/192.7 MB 213.4 MB/s eta 0:00:01
2024-05-15T23:37:55.2433626Z      ━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 85.9/192.7 MB 250.2 MB/s eta 0:00:01
2024-05-15T23:37:55.2434717Z      ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 94.7/192.7 MB 254.2 MB/s eta 0:00:01
2024-05-15T23:37:55.2435812Z      ━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━ 103.5/192.7 MB 253.3 MB/s eta 0:00:01
2024-05-15T23:37:55.2436903Z      ━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━ 112.4/192.7 MB 258.3 MB/s eta 0:00:01
2024-05-15T23:37:55.2438099Z      ━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 121.1/192.7 MB 252.6 MB/s eta 0:00:01
2024-05-15T23:37:55.2439182Z      ━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 130.1/192.7 MB 258.8 MB/s eta 0:00:01
2024-05-15T23:37:55.2440264Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 138.9/192.7 MB 256.7 MB/s eta 0:00:01
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2024-05-15T23:37:55.2468158Z [?25hCollecting torchvision==0.19.0.dev20240507
2024-05-15T23:37:55.2469246Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torchvision-0.19.0.dev20240507%2Bcpu-cp311-cp311-linux_x86_64.whl (1.7 MB)
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2024-05-15T23:38:13.1192824Z Collecting tomli
2024-05-15T23:38:13.1193246Z   Downloading tomli-2.0.1-py3-none-any.whl (12 kB)
2024-05-15T23:38:13.1194274Z Requirement already satisfied: wheel in /opt/conda/lib/python3.11/site-packages (0.38.4)
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2024-05-15T23:38:13.1195967Z Collecting timm==0.6.13
2024-05-15T23:38:13.1196418Z   Downloading timm-0.6.13-py3-none-any.whl (549 kB)
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2024-05-15T23:38:13.1198936Z [?25hCollecting torchaudio==2.2.0.dev20240507
2024-05-15T23:38:13.1199984Z   Downloading https://download.pytorch.org/whl/nightly/cpu/torchaudio-2.2.0.dev20240507%2Bcpu-cp311-cp311-linux_x86_64.whl (1.7 MB)
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2024-05-15T23:38:13.1203239Z [?25hCollecting torchsr==1.0.4
2024-05-15T23:38:13.1203741Z   Downloading torchsr-1.0.4-py3-none-any.whl (31 kB)
2024-05-15T23:38:13.1204224Z Collecting transformers==4.38.2
2024-05-15T23:38:13.1204760Z   Downloading transformers-4.38.2-py3-none-any.whl (8.5 MB)
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2024-05-15T23:38:13.1209754Z [?25hRequirement already satisfied: filelock in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (3.13.1)
2024-05-15T23:38:13.1211214Z Requirement already satisfied: typing-extensions>=4.8.0 in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (4.11.0)
2024-05-15T23:38:13.1212585Z Requirement already satisfied: sympy in /opt/conda/lib/python3.11/site-packages (from torch==2.4.0.dev20240507) (1.12)
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2024-05-15T23:38:13.1217857Z Requirement already satisfied: numpy in /opt/conda/lib/python3.11/site-packages (from torchvision==0.19.0.dev20240507) (1.26.4)
2024-05-15T23:38:13.1218897Z Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.19.0.dev20240507)
2024-05-15T23:38:13.1219822Z   Downloading pillow-10.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.4 MB)
2024-05-15T23:38:13.1220796Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/4.4 MB ? eta -:--:--
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2024-05-15T23:38:13.1223866Z [?25hRequirement already satisfied: huggingface-hub in /opt/conda/lib/python3.11/site-packages (from timm==0.6.13) (0.23.0)
2024-05-15T23:38:13.1225213Z Requirement already satisfied: packaging>=20.0 in /opt/conda/lib/python3.11/site-packages (from transformers==4.38.2) (23.0)
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2024-05-15T23:38:13.1228939Z Collecting tokenizers<0.19,>=0.14 (from transformers==4.38.2)
2024-05-15T23:38:13.1229888Z   Downloading tokenizers-0.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.6 MB)
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2024-05-15T23:38:13.1244566Z Installing collected packages: tomli, pillow, torch, torchvision, torchaudio, tokenizers, transformers, torchsr, timm
2024-05-15T23:38:13.1245360Z   Attempting uninstall: torch
2024-05-15T23:38:13.1245778Z     Found existing installation: torch 2.3.0
2024-05-15T23:38:13.1246262Z     Uninstalling torch-2.3.0:
2024-05-15T23:38:13.1246703Z       Successfully uninstalled torch-2.3.0
2024-05-15T23:38:13.1247151Z   Attempting uninstall: tokenizers
2024-05-15T23:38:13.1247604Z     Found existing installation: tokenizers 0.19.1
2024-05-15T23:38:13.1248142Z     Uninstalling tokenizers-0.19.1:
2024-05-15T23:38:13.1248667Z       Successfully uninstalled tokenizers-0.19.1
2024-05-15T23:38:13.1249136Z   Attempting uninstall: transformers
2024-05-15T23:38:13.1249607Z     Found existing installation: transformers 4.40.2
2024-05-15T23:38:13.1250140Z     Uninstalling transformers-4.40.2:
2024-05-15T23:38:13.1250658Z       Successfully uninstalled transformers-4.40.2
2024-05-15T23:38:13.1252133Z Successfully installed pillow-10.3.0 timm-0.6.13 tokenizers-0.15.2 tomli-2.0.1 torch-2.4.0.dev20240507+cpu torchaudio-2.2.0.dev20240507+cpu torchsr-1.0.4 torchvision-0.19.0.dev20240507+cpu transformers-4.38.2
2024-05-15T23:38:13.1254491Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-05-15T23:38:13.1256145Z Using pip 23.1.2 from /opt/conda/lib/python3.11/site-packages/pip (python 3.11)
2024-05-15T23:38:13.1257029Z WARNING: The index url "" seems invalid, please provide a scheme.
2024-05-15T23:38:13.1257731Z Looking in indexes: https://pypi.org/simple, 
2024-05-15T23:38:13.1258321Z Processing /pytorch/torchchat/et-build/src/executorch
2024-05-15T23:38:13.1258886Z   Running command Preparing metadata (pyproject.toml)
2024-05-15T23:38:13.1260169Z   /opt/conda/lib/python3.11/site-packages/setuptools/config/pyprojecttoml.py:66: _BetaConfiguration: Support for `[tool.setuptools]` in `pyproject.toml` is still *beta*.
2024-05-15T23:38:13.1261526Z     config = read_configuration(filepath, True, ignore_option_errors, dist)
2024-05-15T23:38:15.5930123Z   running dist_info
2024-05-15T23:38:15.5930840Z   creating /tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info
2024-05-15T23:38:15.5932451Z   writing /tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/PKG-INFO
2024-05-15T23:38:15.5933922Z   writing dependency_links to /tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/dependency_links.txt
2024-05-15T23:38:15.5935510Z   writing entry points to /tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/entry_points.txt
2024-05-15T23:38:15.5936651Z   writing requirements to /tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/requires.txt
2024-05-15T23:38:15.5937994Z   writing top-level names to /tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/top_level.txt
2024-05-15T23:38:15.5939062Z   writing manifest file '/tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/SOURCES.txt'
2024-05-15T23:38:15.5940096Z   reading manifest file '/tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/SOURCES.txt'
2024-05-15T23:38:15.5941016Z   adding license file 'LICENSE'
2024-05-15T23:38:15.5941908Z   writing manifest file '/tmp/pip-modern-metadata-7e8u42fh/executorch.egg-info/SOURCES.txt'
2024-05-15T23:38:15.5942902Z   creating '/tmp/pip-modern-metadata-7e8u42fh/executorch-0.3.0a0+fff20a7.dist-info'
2024-05-15T23:38:15.5943973Z   Preparing metadata (pyproject.toml) ... [?25l[?25hdone
2024-05-15T23:38:15.5944934Z WARNING: Location 'expecttest/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5945869Z Collecting expecttest (from executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5946510Z   Downloading expecttest-0.2.1-py3-none-any.whl (7.4 kB)
2024-05-15T23:38:15.5947469Z WARNING: Location 'flatbuffers/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5948409Z Collecting flatbuffers (from executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5949120Z   Downloading flatbuffers-24.3.25-py2.py3-none-any.whl (26 kB)
2024-05-15T23:38:15.5950123Z WARNING: Location 'hypothesis/' is ignored: it is either a non-existing path or lacks a specific scheme.
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2024-05-15T23:38:15.5951709Z   Downloading hypothesis-6.102.4-py3-none-any.whl (462 kB)
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2024-05-15T23:38:15.5958926Z WARNING: Location 'parameterized/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5959895Z Collecting parameterized (from executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5960590Z   Downloading parameterized-0.9.0-py2.py3-none-any.whl (20 kB)
2024-05-15T23:38:15.5961981Z WARNING: Location 'pytest/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5962875Z Collecting pytest (from executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5963472Z   Downloading pytest-8.2.0-py3-none-any.whl (339 kB)
2024-05-15T23:38:15.5964254Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/339.2 kB ? eta -:--:--
2024-05-15T23:38:15.5965349Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 339.2/339.2 kB 40.6 MB/s eta 0:00:00
2024-05-15T23:38:15.5966470Z [?25hWARNING: Location 'pytest-xdist/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5967520Z Collecting pytest-xdist (from executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5968183Z   Downloading pytest_xdist-3.6.1-py3-none-any.whl (46 kB)
2024-05-15T23:38:15.5968974Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/46.1 kB ? eta -:--:--
2024-05-15T23:38:15.5969894Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 46.1/46.1 kB 15.8 MB/s eta 0:00:00
2024-05-15T23:38:15.5971070Z [?25hRequirement already satisfied: pyyaml in /opt/conda/lib/python3.11/site-packages (from executorch==0.3.0a0+fff20a7) (6.0.1)
2024-05-15T23:38:15.5972489Z Requirement already satisfied: ruamel.yaml in /opt/conda/lib/python3.11/site-packages (from executorch==0.3.0a0+fff20a7) (0.17.21)
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2024-05-15T23:38:15.5978074Z WARNING: Location 'sortedcontainers/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5979210Z Collecting sortedcontainers<3.0.0,>=2.1.0 (from hypothesis->executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5980064Z   Downloading sortedcontainers-2.4.0-py2.py3-none-any.whl (29 kB)
2024-05-15T23:38:15.5981271Z Requirement already satisfied: python-dateutil>=2.8.2 in /opt/conda/lib/python3.11/site-packages (from pandas->executorch==0.3.0a0+fff20a7) (2.8.2)
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2024-05-15T23:38:15.5985717Z WARNING: Location 'iniconfig/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5986683Z Collecting iniconfig (from pytest->executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5987365Z   Downloading iniconfig-2.0.0-py3-none-any.whl (5.9 kB)
2024-05-15T23:38:15.5988279Z WARNING: Location 'pluggy/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5989266Z Collecting pluggy<2.0,>=1.5 (from pytest->executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5989949Z   Downloading pluggy-1.5.0-py3-none-any.whl (20 kB)
2024-05-15T23:38:15.5990860Z WARNING: Location 'execnet/' is ignored: it is either a non-existing path or lacks a specific scheme.
2024-05-15T23:38:15.5991855Z Collecting execnet>=2.1 (from pytest-xdist->executorch==0.3.0a0+fff20a7)
2024-05-15T23:38:15.5992560Z   Downloading execnet-2.1.1-py3-none-any.whl (40 kB)
2024-05-15T23:38:15.5993342Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/40.6 kB ? eta -:--:--
2024-05-15T23:38:15.5994265Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 40.6/40.6 kB 12.2 MB/s eta 0:00:00
2024-05-15T23:38:15.5995489Z [?25hRequirement already satisfied: mpmath>=0.19 in /opt/conda/lib/python3.11/site-packages (from sympy->executorch==0.3.0a0+fff20a7) (1.3.0)
2024-05-15T23:38:15.5997190Z Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.11/site-packages (from python-dateutil>=2.8.2->pandas->executorch==0.3.0a0+fff20a7) (1.16.0)
2024-05-15T23:38:15.5998357Z Building wheels for collected packages: executorch
2024-05-15T23:38:15.5998958Z   Running command Building wheel for executorch (pyproject.toml)
2024-05-15T23:38:15.6000358Z   /opt/conda/lib/python3.11/site-packages/setuptools/config/pyprojecttoml.py:66: _BetaConfiguration: Support for `[tool.setuptools]` in `pyproject.toml` is still *beta*.
2024-05-15T23:38:15.6001822Z     config = read_configuration(filepath, True, ignore_option_errors, dist)
2024-05-15T23:38:15.6002380Z   running bdist_wheel
2024-05-15T23:38:15.6002697Z   running build
2024-05-15T23:38:15.6003063Z   command options for 'CustomBuild':
2024-05-15T23:38:15.6003487Z     build_base = pip-out
2024-05-15T23:38:15.6003867Z     build_purelib = pip-out/lib
2024-05-15T23:38:15.6004370Z     build_platlib = pip-out/lib.linux-x86_64-cpython-311
2024-05-15T23:38:15.6004945Z     build_lib = pip-out/lib.linux-x86_64-cpython-311
2024-05-15T23:38:15.6005473Z     build_scripts = pip-out/scripts-3.11
2024-05-15T23:38:15.6006005Z     build_temp = pip-out/temp.linux-x86_64-cpython-311
2024-05-15T23:38:15.6006502Z     plat_name = linux-x86_64
2024-05-15T23:38:15.6006853Z     compiler = None
2024-05-15T23:38:15.6007157Z     parallel = 15
2024-05-15T23:38:15.6007443Z     debug = None
2024-05-15T23:38:15.6007735Z     force = None
2024-05-15T23:38:15.6008063Z     executable = /opt/conda/bin/python
2024-05-15T23:38:15.6008628Z   creating /pytorch/torchchat/et-build/src/executorch/pip-out
2024-05-15T23:38:15.6009484Z   creating /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311
2024-05-15T23:38:15.6010562Z   creating /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out
2024-05-15T23:38:15.6011785Z   deleting /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/CMakeCache.txt
2024-05-15T23:38:15.6012668Z   temporarily unsetting HOME while running as root
2024-05-15T23:38:15.6018174Z   cmake -S /pytorch/torchchat/et-build/src/executorch -B /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out -DBUCK2= -DPYTHON_EXECUTABLE=/opt/conda/bin/python -DCMAKE_PREFIX_PATH=/opt/conda/lib/python3.11/site-packages -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_ENABLE_LOGGING=ON -DEXECUTORCH_LOG_LEVEL=Info -DCMAKE_OSX_DEPLOYMENT_TARGET=10.15 -DEXECUTORCH_SEPARATE_FLATCC_HOST_PROJECT=OFF -DEXECUTORCH_BUILD_PYBIND=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_KERNELS_CUSTOM=ON -DEXECUTORCH_BUILD_KERNELS_CUSTOM_AOT=ON -DCMAKE_BUILD_TYPE=Release -DEXECUTORCH_ENABLE_LOGGING=ON -DEXECUTORCH_LOG_LEVEL=Info -DEXECUTORCH_BUILD_KERNELS_OPTIMIZED=ON -DEXECUTORCH_BUILD_EXTENSION_DATA_LOADER=ON -DEXECUTORCH_BUILD_EXTENSION_MODULE=ON -DEXECUTORCH_BUILD_KERNELS_QUANTIZED=ON -DEXECUTORCH_BUILD_XNNPACK=ON -DCMAKE_PREFIX_PATH=/opt/conda/lib/python3.11/site-packages -DCMAKE_INSTALL_PREFIX=/pytorch/torchchat/et-build/install -DEXECUTORCH_BUILD_XNNPACK=ON
2024-05-15T23:38:21.2317487Z   -- The C compiler identification is GNU 9.3.1
2024-05-15T23:38:21.2318251Z   -- The CXX compiler identification is GNU 9.3.1
2024-05-15T23:38:21.2318962Z   -- Detecting C compiler ABI info
2024-05-15T23:38:21.2319631Z   -- Detecting C compiler ABI info - done
2024-05-15T23:38:21.2320571Z   -- Check for working C compiler: /opt/rh/devtoolset-9/root/usr/bin/cc - skipped
2024-05-15T23:38:21.2321650Z   -- Detecting C compile features
2024-05-15T23:38:21.2322101Z   -- Detecting C compile features - done
2024-05-15T23:38:21.2322572Z   -- Detecting CXX compiler ABI info
2024-05-15T23:38:21.2323047Z   -- Detecting CXX compiler ABI info - done
2024-05-15T23:38:21.2323753Z   -- Check for working CXX compiler: /opt/rh/devtoolset-9/root/usr/bin/c++ - skipped
2024-05-15T23:38:21.2324423Z   -- Detecting CXX compile features
2024-05-15T23:38:21.2324889Z   -- Detecting CXX compile features - done
2024-05-15T23:38:21.2325393Z   -- Performing Test CMAKE_HAVE_LIBC_PTHREAD
2024-05-15T23:38:21.2326232Z   -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed
2024-05-15T23:38:21.2326780Z   -- Check if compiler accepts -pthread
2024-05-15T23:38:21.2327275Z   -- Check if compiler accepts -pthread - yes
2024-05-15T23:38:21.2327743Z   -- Found Threads: TRUE
2024-05-15T23:38:21.2328988Z   -- Downloading FXdiv to /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FXdiv-source (define FXDIV_SOURCE_DIR to avoid it)
2024-05-15T23:38:21.2330103Z   -- Configuring done (0.0s)
2024-05-15T23:38:21.2330498Z   -- Generating done (0.0s)
2024-05-15T23:38:21.2331493Z   -- Build files have been written to: /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FXdiv-download
2024-05-15T23:38:21.2332492Z   [ 11%] Creating directories for 'fxdiv'
2024-05-15T23:38:21.2333053Z   [ 22%] Performing download step (git clone) for 'fxdiv'
2024-05-15T23:38:21.2333586Z   Cloning into 'FXdiv-source'...
2024-05-15T23:38:21.2333980Z   Already on 'master'
2024-05-15T23:38:21.2334419Z   Your branch is up to date with 'origin/master'.
2024-05-15T23:38:21.2334955Z   [ 33%] Performing update step for 'fxdiv'
2024-05-15T23:38:21.2335428Z   [ 44%] No patch step for 'fxdiv'
2024-05-15T23:38:21.2335870Z   [ 55%] No configure step for 'fxdiv'
2024-05-15T23:38:21.2336315Z   [ 66%] No build step for 'fxdiv'
2024-05-15T23:38:21.2336750Z   [ 77%] No install step for 'fxdiv'
2024-05-15T23:38:21.2337190Z   [ 88%] No test step for 'fxdiv'
2024-05-15T23:38:21.2337603Z   [100%] Completed 'fxdiv'
2024-05-15T23:38:21.2337942Z   [100%] Built target fxdiv
2024-05-15T23:38:21.2338370Z   -- Looking for pthread_create in pthreads
2024-05-15T23:38:21.2338932Z   -- Looking for pthread_create in pthreads - not found
2024-05-15T23:38:21.2339483Z   -- Looking for pthread_create in pthread
2024-05-15T23:38:21.2340003Z   -- Looking for pthread_create in pthread - found
2024-05-15T23:38:21.2340633Z   -- Using python executable '/opt/conda/bin/python'
2024-05-15T23:38:21.2342081Z   -- Resolved buck2 as /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/buck2-bin/buck2-071372cfde6e9936c62eb92823742392af4a945570df5c5b34d3eed1b03813c3.
2024-05-15T23:38:21.2343342Z   -- Killing buck2 daemon
2024-05-15T23:38:21.2343753Z   -- executorch: Generating source lists
2024-05-15T23:38:21.2344885Z   -- executorch: Generating source file list /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/executorch_srcs.cmake
2024-05-15T23:38:21.2346535Z   -- executorch: Using sources file /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/executorch_srcs.cmake
2024-05-15T23:38:21.2347554Z   -- Proceeding with version: 23.5.26.0
2024-05-15T23:38:21.2348000Z   -- Looking for strtof_l
2024-05-15T23:38:21.2348388Z   -- Looking for strtof_l - found
2024-05-15T23:38:21.2348799Z   -- Looking for strtoull_l
2024-05-15T23:38:21.2349205Z   -- Looking for strtoull_l - found
2024-05-15T23:38:21.2349624Z   -- Looking for realpath
2024-05-15T23:38:21.2350014Z   -- Looking for realpath - found
2024-05-15T23:38:21.2350417Z   -- CMAKE_CXX_FLAGS:
2024-05-15T23:38:21.2350772Z   -- Generating operator lib:
2024-05-15T23:38:21.2351181Z   --   LIB_NAME: portable_ops_lib
2024-05-15T23:38:21.2351934Z   --   OPS_SCHEMA_YAML: /pytorch/torchchat/et-build/src/executorch/kernels/portable/functions.yaml
2024-05-15T23:38:21.2352655Z   --   ROOT_OPS:
2024-05-15T23:38:21.2352980Z   --   INCLUDE_ALL_OPS:
2024-05-15T23:38:21.2354986Z   Command - /opt/conda/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/torchchat/et-build/src/executorch/kernels/portable/functions.yaml"
2024-05-15T23:38:21.2356922Z   -- Generating kernel bindings:
2024-05-15T23:38:21.2357434Z   --   LIB_NAME: portable_ops_lib
2024-05-15T23:38:21.2358168Z   --   FUNCTIONS_YAML: /pytorch/torchchat/et-build/src/executorch/kernels/portable/functions.yaml
2024-05-15T23:38:21.2358964Z   --   CUSTOM_OPS_YAML:
2024-05-15T23:38:21.2362159Z   Generated files /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/Functions.h;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/portable/portable_ops_lib/NativeFunctions.h
2024-05-15T23:38:21.2364936Z   -- Generating operator lib:
2024-05-15T23:38:21.2365338Z   --   LIB_NAME: portable_ops_lib
2024-05-15T23:38:21.2365778Z   --   KERNEL_LIBS: portable_kernels
2024-05-15T23:38:21.2366201Z   --   DEPS: executorch
2024-05-15T23:38:21.2367495Z   -- executorch: Using source file list /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/examples/models/llama2/custom_ops/../../../../executorch_srcs.cmake
2024-05-15T23:38:21.2369251Z   CMake Warning at /opt/conda/lib/python3.11/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2024-05-15T23:38:21.2370203Z     static library kineto_LIBRARY-NOTFOUND not found.
2024-05-15T23:38:21.2370704Z   Call Stack (most recent call first):
2024-05-15T23:38:21.2371693Z     /opt/conda/lib/python3.11/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found)
2024-05-15T23:38:21.2372692Z     examples/models/llama2/custom_ops/CMakeLists.txt:80 (find_package)
2024-05-15T23:38:21.2373131Z 
2024-05-15T23:38:21.2373137Z 
2024-05-15T23:38:21.2373534Z   -- Found Torch: /opt/conda/lib/python3.11/site-packages/torch/lib/libtorch.so
2024-05-15T23:38:21.2374178Z   -- Generating operator lib:
2024-05-15T23:38:21.2374592Z   --   LIB_NAME: optimized_ops_lib
2024-05-15T23:38:21.2375376Z   --   OPS_SCHEMA_YAML: /pytorch/torchchat/et-build/src/executorch/kernels/optimized/optimized-oss.yaml
2024-05-15T23:38:21.2376115Z   --   ROOT_OPS:
2024-05-15T23:38:21.2376451Z   --   INCLUDE_ALL_OPS:
2024-05-15T23:38:21.2378512Z   Command - /opt/conda/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/torchchat/et-build/src/executorch/kernels/optimized/optimized-oss.yaml"
2024-05-15T23:38:21.2380469Z   -- Generating kernel bindings:
2024-05-15T23:38:21.2380938Z   --   LIB_NAME: optimized_ops_lib
2024-05-15T23:38:21.2381717Z   --   FUNCTIONS_YAML: /pytorch/torchchat/et-build/src/executorch/kernels/optimized/optimized-oss.yaml
2024-05-15T23:38:21.2382468Z   --   CUSTOM_OPS_YAML:
2024-05-15T23:38:21.2385448Z   Generated files /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/Functions.h;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/optimized/optimized_ops_lib/NativeFunctions.h
2024-05-15T23:38:21.2388256Z   -- Generating operator lib:
2024-05-15T23:38:21.2388668Z   --   LIB_NAME: optimized_ops_lib
2024-05-15T23:38:21.2389110Z   --   KERNEL_LIBS: optimized_kernels
2024-05-15T23:38:21.2389528Z   --   DEPS: executorch
2024-05-15T23:38:21.2389899Z   -- Generating operator lib:
2024-05-15T23:38:21.2390304Z   --   LIB_NAME: quantized_ops_lib
2024-05-15T23:38:21.2391049Z   --   OPS_SCHEMA_YAML: /pytorch/torchchat/et-build/src/executorch/kernels/quantized/quantized.yaml
2024-05-15T23:38:21.2391772Z   --   ROOT_OPS:
2024-05-15T23:38:21.2392099Z   --   INCLUDE_ALL_OPS:
2024-05-15T23:38:21.2394113Z   Command - /opt/conda/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/torchchat/et-build/src/executorch/kernels/quantized/quantized.yaml"
2024-05-15T23:38:21.2396147Z   -- Generating kernel bindings:
2024-05-15T23:38:21.2396582Z   --   LIB_NAME: quantized_ops_lib
2024-05-15T23:38:21.2397047Z   --   FUNCTIONS_YAML:
2024-05-15T23:38:21.2397804Z   --   CUSTOM_OPS_YAML: /pytorch/torchchat/et-build/src/executorch/kernels/quantized/quantized.yaml
2024-05-15T23:38:21.2403936Z   Generated files /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/Functions.h;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/NativeFunctions.h;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/RegisterCPUCustomOps.cpp;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/RegisterSchema.cpp;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/kernels/quantized/quantized_ops_lib/CustomOpsNativeFunctions.h
2024-05-15T23:38:21.2409154Z   -- Generating operator lib:
2024-05-15T23:38:21.2409564Z   --   LIB_NAME: quantized_ops_lib
2024-05-15T23:38:21.2409989Z   --   KERNEL_LIBS: quantized_kernels
2024-05-15T23:38:21.2410413Z   --   DEPS: executorch
2024-05-15T23:38:21.2410784Z   -- Merging kernel yaml files:
2024-05-15T23:38:21.2411654Z   --   FUNCTIONS_YAML: /pytorch/torchchat/et-build/src/executorch/configurations/../kernels/optimized/optimized-oss.yaml
2024-05-15T23:38:21.2412934Z   --   FALLBACK_YAML: /pytorch/torchchat/et-build/src/executorch/configurations/../kernels/portable/functions.yaml
2024-05-15T23:38:21.2414232Z   --   OUTPUT_DIR: /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations
2024-05-15T23:38:22.7331105Z   -- Generating operator lib:
2024-05-15T23:38:22.7331686Z   --   LIB_NAME: optimized_native_cpu_ops_lib
2024-05-15T23:38:22.7333280Z   --   OPS_SCHEMA_YAML: /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations/merged.yaml
2024-05-15T23:38:22.7335377Z   --   ROOT_OPS:
2024-05-15T23:38:22.7335810Z   --   INCLUDE_ALL_OPS:
2024-05-15T23:38:22.7338578Z   Command - /opt/conda/bin/python;-m;codegen.tools.gen_oplist;--output_path=/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/selected_operators.yaml;--ops_schema_yaml_path="/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations/merged.yaml"
2024-05-15T23:38:22.7340773Z   -- Generating kernel bindings:
2024-05-15T23:38:22.7341242Z   --   LIB_NAME: optimized_native_cpu_ops_lib
2024-05-15T23:38:22.7342300Z   --   FUNCTIONS_YAML: /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations/merged.yaml
2024-05-15T23:38:22.7343247Z   --   CUSTOM_OPS_YAML:
2024-05-15T23:38:22.7346264Z   Generated files /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/RegisterCodegenUnboxedKernelsEverything.cpp;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/Functions.h;/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/configurations/optimized_native_cpu_ops_lib/NativeFunctions.h
2024-05-15T23:38:22.7349090Z   -- Generating operator lib:
2024-05-15T23:38:22.7349537Z   --   LIB_NAME: optimized_native_cpu_ops_lib
2024-05-15T23:38:22.7350087Z   --   KERNEL_LIBS: portable_kernels;optimized_kernels
2024-05-15T23:38:22.7350811Z   --   DEPS: executorch
2024-05-15T23:38:22.7351496Z   CMake Deprecation Warning at third-party/gflags/CMakeLists.txt:73 (cmake_minimum_required):
2024-05-15T23:38:22.7352367Z     Compatibility with CMake < 3.5 will be removed from a future version of
2024-05-15T23:38:22.7352936Z     CMake.
2024-05-15T23:38:22.7353096Z 
2024-05-15T23:38:22.7353505Z     Update the VERSION argument <min> value or use a ...<max> suffix to tell
2024-05-15T23:38:22.7354267Z     CMake that the project does not need compatibility with older versions.
2024-05-15T23:38:22.7354734Z 
2024-05-15T23:38:22.7354739Z 
2024-05-15T23:38:22.7354920Z   -- Looking for C++ include unistd.h
2024-05-15T23:38:22.7355413Z   -- Looking for C++ include unistd.h - found
2024-05-15T23:38:22.7355897Z   -- Looking for C++ include stdint.h
2024-05-15T23:38:22.7356377Z   -- Looking for C++ include stdint.h - found
2024-05-15T23:38:22.7356865Z   -- Looking for C++ include inttypes.h
2024-05-15T23:38:22.7357477Z   -- Looking for C++ include inttypes.h - found
2024-05-15T23:38:22.7357991Z   -- Looking for C++ include sys/types.h
2024-05-15T23:38:22.7358500Z   -- Looking for C++ include sys/types.h - found
2024-05-15T23:38:22.7358995Z   -- Looking for C++ include sys/stat.h
2024-05-15T23:38:22.7359497Z   -- Looking for C++ include sys/stat.h - found
2024-05-15T23:38:22.7359993Z   -- Looking for C++ include fnmatch.h
2024-05-15T23:38:22.7360486Z   -- Looking for C++ include fnmatch.h - found
2024-05-15T23:38:22.7361416Z   -- Looking for C++ include stddef.h
2024-05-15T23:38:22.7361907Z   -- Looking for C++ include stddef.h - found
2024-05-15T23:38:22.7362372Z   -- Check size of uint32_t
2024-05-15T23:38:22.7362785Z   -- Check size of uint32_t - done
2024-05-15T23:38:22.7363205Z   -- Looking for strtoll
2024-05-15T23:38:22.7363584Z   -- Looking for strtoll - found
2024-05-15T23:38:22.7364046Z   -- The ASM compiler identification is GNU
2024-05-15T23:38:22.7364626Z   -- Found assembler: /opt/rh/devtoolset-9/root/usr/bin/cc
2024-05-15T23:38:22.7365892Z   -- Downloading FP16 to /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FP16-source (define FP16_SOURCE_DIR to avoid it)
2024-05-15T23:38:22.7366992Z   -- Configuring done (0.0s)
2024-05-15T23:38:22.7367389Z   -- Generating done (0.0s)
2024-05-15T23:38:22.7368382Z   -- Build files have been written to: /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FP16-download
2024-05-15T23:38:22.7369375Z   [ 11%] Creating directories for 'fp16'
2024-05-15T23:38:22.7370029Z   [ 22%] Performing download step (download, verify and extract) for 'fp16'
2024-05-15T23:38:22.7370634Z   -- Downloading...
2024-05-15T23:38:22.7371845Z      dst='/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip'
2024-05-15T23:38:22.7372994Z      timeout='none'
2024-05-15T23:38:22.7373354Z      inactivity timeout='none'
2024-05-15T23:38:22.7374169Z   -- Using src='https://github.com/Maratyszcza/FP16/archive/0a92994d729ff76a58f692d3028ca1b64b145d91.zip'
2024-05-15T23:38:22.7374977Z   -- [download 14% complete]
2024-05-15T23:38:22.7375376Z   -- [download 32% complete]
2024-05-15T23:38:22.7375763Z   -- [download 81% complete]
2024-05-15T23:38:22.7376156Z   -- [download 100% complete]
2024-05-15T23:38:22.7376544Z   -- verifying file...
2024-05-15T23:38:22.7377740Z          file='/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip'
2024-05-15T23:38:22.7378893Z   -- Downloading... done
2024-05-15T23:38:22.7379251Z   -- extracting...
2024-05-15T23:38:22.7408055Z        src='/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FP16-download/fp16-prefix/src/0a92994d729ff76a58f692d3028ca1b64b145d91.zip'
2024-05-15T23:38:22.7409667Z        dst='/pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/FP16-source'
2024-05-15T23:38:22.7410794Z   -- extracting... [tar xfz]
2024-05-15T23:38:22.7411241Z   -- extracting... [analysis]
2024-05-15T23:38:22.7411636Z   -- extracting... [rename]
2024-05-15T23:38:22.7412026Z   -- extracting... [clean up]
2024-05-15T23:38:22.7412412Z   -- extracting... done
2024-05-15T23:38:22.7412797Z   [ 33%] No update step for 'fp16'
2024-05-15T23:38:22.7413327Z   [ 44%] No patch step for 'fp16'
2024-05-15T23:38:22.7413769Z   [ 55%] No configure step for 'fp16'
2024-05-15T23:38:22.7414212Z   [ 66%] No build step for 'fp16'
2024-05-15T23:38:22.7414634Z   [ 77%] No install step for 'fp16'
2024-05-15T23:38:22.7415068Z   [ 88%] No test step for 'fp16'
2024-05-15T23:38:22.7415472Z   [100%] Completed 'fp16'
2024-05-15T23:38:22.7415806Z   [100%] Built target fp16
2024-05-15T23:38:22.7416743Z   CMake Deprecation Warning at pip-out/temp.linux-x86_64-cpython-311/cmake-out/FP16-source/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2024-05-15T23:38:22.7417801Z     Compatibility with CMake < 3.5 will be removed from a future version of
2024-05-15T23:38:22.7418376Z     CMake.
2024-05-15T23:38:22.7418535Z 
2024-05-15T23:38:22.7418848Z     Update the VERSION argument <min> value or use a ...<max> suffix to tell
2024-05-15T23:38:22.7419608Z     CMake that the project does not need compatibility with older versions.
2024-05-15T23:38:22.7420065Z 
2024-05-15T23:38:22.7420070Z 
2024-05-15T23:38:22.7420995Z   -- Downloading PSimd to /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/psimd-source (define PSIMD_SOURCE_DIR to avoid it)
2024-05-15T23:38:22.7422254Z   CMake Deprecation Warning at CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2024-05-15T23:38:22.7423006Z     Compatibility with CMake < 3.5 will be removed from a future version of
2024-05-15T23:38:22.7423554Z     CMake.
2024-05-15T23:38:22.7423712Z 
2024-05-15T23:38:22.7424016Z     Update the VERSION argument <min> value or use a ...<max> suffix to tell
2024-05-15T23:38:22.7424773Z     CMake that the project does not need compatibility with older versions.
2024-05-15T23:38:22.7425236Z 
2024-05-15T23:38:22.7425241Z 
2024-05-15T23:38:22.7425416Z   -- Configuring done (0.0s)
2024-05-15T23:38:22.7425806Z   -- Generating done (0.0s)
2024-05-15T23:38:22.7426817Z   -- Build files have been written to: /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/psimd-download
2024-05-15T23:38:22.7427827Z   [ 11%] Creating directories for 'psimd'
2024-05-15T23:38:22.7428377Z   [ 22%] Performing download step (git clone) for 'psimd'
2024-05-15T23:38:22.7428913Z   Cloning into 'psimd-source'...
2024-05-15T23:38:22.7429320Z   Already on 'master'
2024-05-15T23:38:22.7429750Z   Your branch is up to date with 'origin/master'.
2024-05-15T23:38:22.7430287Z   [ 33%] Performing update step for 'psimd'
2024-05-15T23:38:22.7430812Z   [ 44%] No patch step for 'psimd'
2024-05-15T23:38:22.7431270Z   [ 55%] No configure step for 'psimd'
2024-05-15T23:38:22.7431723Z   [ 66%] No build step for 'psimd'
2024-05-15T23:38:22.7432201Z   [ 77%] No install step for 'psimd'
2024-05-15T23:38:22.7432651Z   [ 88%] No test step for 'psimd'
2024-05-15T23:38:22.7433059Z   [100%] Completed 'psimd'
2024-05-15T23:38:22.7433407Z   [100%] Built target psimd
2024-05-15T23:38:22.7434386Z   CMake Deprecation Warning at pip-out/temp.linux-x86_64-cpython-311/cmake-out/psimd-source/CMakeLists.txt:1 (CMAKE_MINIMUM_REQUIRED):
2024-05-15T23:38:22.7435482Z     Compatibility with CMake < 3.5 will be removed from a future version of
2024-05-15T23:38:22.7436045Z     CMake.
2024-05-15T23:38:22.7436199Z 
2024-05-15T23:38:22.7436512Z     Update the VERSION argument <min> value or use a ...<max> suffix to tell
2024-05-15T23:38:22.7437341Z     CMake that the project does not need compatibility with older versions.
2024-05-15T23:38:22.7437808Z 
2024-05-15T23:38:22.7437813Z 
2024-05-15T23:38:22.7437973Z   -- pybind11 v2.12.0 dev1
2024-05-15T23:38:22.7438698Z   CMake Warning (dev) at third-party/pybind11/tools/FindPythonLibsNew.cmake:98 (find_package):
2024-05-15T23:38:22.7439696Z     Policy CMP0148 is not set: The FindPythonInterp and FindPythonLibs modules
2024-05-15T23:38:22.7440530Z     are removed.  Run "cmake --help-policy CMP0148" for policy details.  Use
2024-05-15T23:38:22.7441643Z     the cmake_policy command to set the policy and suppress this warning.
2024-05-15T23:38:22.7442090Z 
2024-05-15T23:38:22.7442380Z   Call Stack (most recent call first):
2024-05-15T23:38:22.7443033Z     third-party/pybind11/tools/pybind11Tools.cmake:50 (find_package)
2024-05-15T23:38:22.7443789Z     third-party/pybind11/tools/pybind11Common.cmake:188 (include)
2024-05-15T23:38:22.7444454Z     third-party/pybind11/CMakeLists.txt:211 (include)
2024-05-15T23:38:22.7445146Z   This warning is for project developers.  Use -Wno-dev to suppress it.
2024-05-15T23:38:22.7445596Z 
2024-05-15T23:38:22.7446133Z   -- Found PythonInterp: /opt/conda/bin/python (found suitable version "3.11.4", minimum required is "3.6")
2024-05-15T23:38:22.7446996Z   -- Found PythonLibs: /opt/conda/lib/libpython3.11.so
2024-05-15T23:38:22.7447522Z   -- Performing Test HAS_FLTO
2024-05-15T23:38:22.7447941Z   -- Performing Test HAS_FLTO - Success
2024-05-15T23:38:22.7448700Z   CMake Deprecation Warning at third-party/flatcc/CMakeLists.txt:2 (cmake_minimum_required):
2024-05-15T23:38:22.7449557Z     Compatibility with CMake < 3.5 will be removed from a future version of
2024-05-15T23:38:22.7450117Z     CMake.
2024-05-15T23:38:22.7450283Z 
2024-05-15T23:38:22.7450590Z     Update the VERSION argument <min> value or use a ...<max> suffix to tell
2024-05-15T23:38:22.7451350Z     CMake that the project does not need compatibility with older versions.
2024-05-15T23:38:22.7451810Z 
2024-05-15T23:38:22.7451815Z 
2024-05-15T23:38:22.7452216Z   -- dist install dir /pytorch/torchchat/et-build/src/executorch/third-party/flatcc
2024-05-15T23:38:22.7453132Z   -- lib install dir /pytorch/torchchat/et-build/src/executorch/third-party/flatcc/lib
2024-05-15T23:38:22.7453896Z   -- Setting GNU C compiler options with c11 and Posix
2024-05-15T23:38:22.7454441Z   -- Disabling -pedantic for GCC >= 8.0
2024-05-15T23:38:22.7455132Z   -- Disabling GNU C compiler warnings: -Wstringop-truncation -Wno-format-overflow
2024-05-15T23:38:22.7455777Z   -- GCC_VERSION: 9
2024-05-15T23:38:22.7455969Z 
2024-05-15T23:38:22.7456967Z   -- Configured C_FLAGS:  -DFLATCC_REFLECTION=0 -std=c11 -Wall -Wextra -Wno-stringop-truncation -Wno-format-overflow -DPORTABLE_POSIX_MEMALIGN=1 -Werror -Wno-unused-function -Wsign-conversion
2024-05-15T23:38:36.6808263Z   CMake Warning at /opt/conda/lib/python3.11/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2024-05-15T23:38:36.6809598Z     static library kineto_LIBRARY-NOTFOUND not found.
2024-05-15T23:38:36.6810325Z   Call Stack (most recent call first):
2024-05-15T23:38:36.6811772Z     /opt/conda/lib/python3.11/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:127 (append_torchlib_if_found)
2024-05-15T23:38:36.6813155Z     CMakeLists.txt:581 (find_package)
2024-05-15T23:38:36.6813606Z 
2024-05-15T23:38:36.6813614Z 
2024-05-15T23:38:36.6813807Z   --
2024-05-15T23:38:36.6814256Z   -- ******** Summary ********
2024-05-15T23:38:36.6814980Z   --   CMAKE_BUILD_TYPE              : Release
2024-05-15T23:38:36.6815737Z   --   CMAKE_CXX_STANDARD            : 17
2024-05-15T23:38:36.6816467Z   --   CMAKE_CXX_COMPILER_ID         : GNU
2024-05-15T23:38:36.6817212Z   --   CMAKE_TOOLCHAIN_FILE          :
2024-05-15T23:38:36.6819266Z   --   BUCK2                         : /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/buck2-bin/buck2-071372cfde6e9936c62eb92823742392af4a945570df5c5b34d3eed1b03813c3
2024-05-15T23:38:36.6821358Z   --   PYTHON_EXECUTABLE             : /opt/conda/bin/python
2024-05-15T23:38:36.6822214Z   --   FLATC_EXECUTABLE              : flatc
2024-05-15T23:38:36.6822985Z   --   EXECUTORCH_ENABLE_LOGGING              : ON
2024-05-15T23:38:36.6823821Z   --   EXECUTORCH_ENABLE_PROGRAM_VERIFICATION : OFF
2024-05-15T23:38:36.6824686Z   --   EXECUTORCH_LOG_LEVEL                   : Info
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2024-05-15T23:38:36.6826665Z   --   EXECUTORCH_BUILD_ARM_BAREMETAL         : OFF
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2024-05-15T23:38:36.6828322Z   --   EXECUTORCH_BUILD_KERNELS_CUSTOM        : ON
2024-05-15T23:38:36.6829345Z   --   EXECUTORCH_BUILD_EXECUTOR_RUNNER       : ON
2024-05-15T23:38:36.6830204Z   --   EXECUTORCH_BUILD_EXTENSION_DATA_LOADER : ON
2024-05-15T23:38:36.6831042Z   --   EXECUTORCH_BUILD_EXTENSION_MODULE      : ON
2024-05-15T23:38:36.6831867Z   --   EXECUTORCH_BUILD_EXTENSION_RUNNER_UTIL : OFF
2024-05-15T23:38:36.6832701Z   --   EXECUTORCH_BUILD_FLATC                 : ON
2024-05-15T23:38:36.6833525Z   --   EXECUTORCH_BUILD_GFLAGS                : ON
2024-05-15T23:38:36.6834340Z   --   EXECUTORCH_BUILD_GTESTS                : OFF
2024-05-15T23:38:36.6835149Z   --   EXECUTORCH_BUILD_HOST_TARGETS          : ON
2024-05-15T23:38:36.6835959Z   --   EXECUTORCH_BUILD_MPS                   : OFF
2024-05-15T23:38:36.6836749Z   --   EXECUTORCH_BUILD_PYBIND                : ON
2024-05-15T23:38:36.6837747Z   --   EXECUTORCH_BUILD_QNN                   : OFF
2024-05-15T23:38:36.6838578Z   --   EXECUTORCH_BUILD_KERNELS_OPTIMIZED     : ON
2024-05-15T23:38:36.6839422Z   --   EXECUTORCH_BUILD_KERNELS_QUANTIZED     : ON
2024-05-15T23:38:36.6840263Z   --   EXECUTORCH_BUILD_SDK                   : OFF
2024-05-15T23:38:36.6841296Z   --   EXECUTORCH_BUILD_SIZE_TEST             : OFF
2024-05-15T23:38:36.6842135Z   --   EXECUTORCH_BUILD_XNNPACK               : ON
2024-05-15T23:38:36.6842937Z   --   EXECUTORCH_BUILD_VULKAN                : OFF
2024-05-15T23:38:36.6843760Z   --   EXECUTORCH_BUILD_PTHREADPOOL           : ON
2024-05-15T23:38:36.6844581Z   --   EXECUTORCH_BUILD_CPUINFO               : ON
2024-05-15T23:38:36.6845318Z   -- Configuring done (7.1s)
2024-05-15T23:38:36.6845913Z   -- Generating done (1.3s)
2024-05-15T23:38:36.6847323Z   -- Build files have been written to: /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out
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2024-05-15T23:39:30.8666761Z     420 |                 [scaling_factor](Vec x, Vec y) {
2024-05-15T23:39:30.8667463Z         |                 ^
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2024-05-15T23:42:16.9495128Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_exp.cpp: In lambda function:
2024-05-15T23:42:16.9497586Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_exp.cpp:39:7: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:16.9499407Z      39 |       [](Vec x) { return x.exp(); }, out_data, in_data, numel);
2024-05-15T23:42:16.9500193Z         |       ^
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2024-05-15T23:42:16.9519839Z   In file included from /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/kernel/kernel_includes.h:21,
2024-05-15T23:42:16.9522052Z                    from /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_neg.cpp:11:
2024-05-15T23:42:16.9523789Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_neg.cpp: In lambda function:
2024-05-15T23:42:16.9526142Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_neg.cpp:32:9: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:16.9528077Z      32 |         [](Vec x) { return x.neg(); },
2024-05-15T23:42:16.9528744Z         |         ^
2024-05-15T23:42:16.9530490Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:888:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2024-05-15T23:42:16.9532117Z     888 |       __VA_ARGS__                                    \
2024-05-15T23:42:16.9532814Z         |       ^~~~~~~~~~~
2024-05-15T23:42:16.9537563Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:947:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2024-05-15T23:42:16.9539943Z     947 |   ET_INTERNAL_SWITCH_CASE(                                    \
2024-05-15T23:42:16.9540752Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:16.9542823Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1093:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2024-05-15T23:42:16.9544776Z    1093 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__))
2024-05-15T23:42:16.9545634Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:16.9547247Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_neg.cpp:29:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES’
2024-05-15T23:42:16.9548843Z      29 |   ET_SWITCH_REAL_TYPES(in.scalar_type(), ctx, "neg.out", CTYPE, [&] {
2024-05-15T23:42:16.9549691Z         |   ^~~~~~~~~~~~~~~~~~~~
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2024-05-15T23:42:16.9556698Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_native_layer_norm.cpp:97:11: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:16.9559084Z      97 |           [scale, offset](Vec x, Vec gamma, Vec beta) {
2024-05-15T23:42:16.9559831Z         |           ^
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2024-05-15T23:42:24.4712770Z   In file included from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2024-05-15T23:42:24.4714872Z                    from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2024-05-15T23:42:24.4716671Z                    from /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_sub.cpp:11:
2024-05-15T23:42:24.4718614Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_sub.cpp: In lambda function:
2024-05-15T23:42:24.4721369Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_sub.cpp:56:11: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:24.4723524Z      56 |           [alpha_val](Vec x, Vec y) { return x - Vec(alpha_val) * y; },
2024-05-15T23:42:24.4724370Z         |           ^
2024-05-15T23:42:24.4726158Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:888:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2024-05-15T23:42:24.4727942Z     888 |       __VA_ARGS__                                    \
2024-05-15T23:42:24.4728662Z         |       ^~~~~~~~~~~
2024-05-15T23:42:24.4730491Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:947:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2024-05-15T23:42:24.4732396Z     947 |   ET_INTERNAL_SWITCH_CASE(                                    \
2024-05-15T23:42:24.4733212Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:24.4735216Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1093:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2024-05-15T23:42:24.4737289Z    1093 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__))
2024-05-15T23:42:24.4738194Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:24.4739955Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_sub.cpp:49:5: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES’
2024-05-15T23:42:24.4741716Z      49 |     ET_SWITCH_REAL_TYPES(out_type, ctx, "sub.out", CTYPE, [&]() {
2024-05-15T23:42:24.4742574Z         |     ^~~~~~~~~~~~~~~~~~~~
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2024-05-15T23:42:24.9709177Z   In file included from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2024-05-15T23:42:24.9710997Z                    from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2024-05-15T23:42:24.9712524Z                    from /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_le.cpp:11:
2024-05-15T23:42:24.9714032Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_le.cpp: In lambda function:
2024-05-15T23:42:24.9716201Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_le.cpp:49:15: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:24.9718118Z      49 |               [](Vec x, Vec y) { return x.le(y); },
2024-05-15T23:42:24.9718748Z         |               ^
2024-05-15T23:42:24.9720302Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:888:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2024-05-15T23:42:24.9722356Z     888 |       __VA_ARGS__                                    \
2024-05-15T23:42:24.9722967Z         |       ^~~~~~~~~~~
2024-05-15T23:42:24.9724489Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:947:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2024-05-15T23:42:24.9726069Z     947 |   ET_INTERNAL_SWITCH_CASE(                                    \
2024-05-15T23:42:24.9726764Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:24.9728663Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:963:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2024-05-15T23:42:24.9730006Z     963 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2024-05-15T23:42:24.9730620Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:24.9732010Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1101:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2024-05-15T23:42:24.9733231Z    1101 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2024-05-15T23:42:24.9733757Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:24.9734806Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_le.cpp:45:5: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2024-05-15T23:42:24.9735758Z      45 |     ET_SWITCH_REAL_TYPES_AND(
2024-05-15T23:42:24.9736176Z         |     ^~~~~~~~~~~~~~~~~~~~~~~~
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2024-05-15T23:42:25.3532278Z   In file included from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2024-05-15T23:42:25.3534326Z                    from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2024-05-15T23:42:25.3536063Z                    from /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_div.cpp:11:
2024-05-15T23:42:25.3537764Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_div.cpp: In lambda function:
2024-05-15T23:42:25.3540196Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_div.cpp:64:11: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:25.3541939Z      64 |           [](Vec x, Vec y) { return x / y; },
2024-05-15T23:42:25.3542564Z         |           ^
2024-05-15T23:42:25.3544213Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:888:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2024-05-15T23:42:25.3545975Z     888 |       __VA_ARGS__                                    \
2024-05-15T23:42:25.3546668Z         |       ^~~~~~~~~~~
2024-05-15T23:42:25.3548338Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:947:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2024-05-15T23:42:25.3550194Z     947 |   ET_INTERNAL_SWITCH_CASE(                                    \
2024-05-15T23:42:25.3551001Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:25.3552884Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:963:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2024-05-15T23:42:25.3554963Z     963 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2024-05-15T23:42:25.3555923Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:25.3558131Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1101:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2024-05-15T23:42:25.3560054Z    1101 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2024-05-15T23:42:25.3561102Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:25.3562878Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_div.cpp:61:5: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2024-05-15T23:42:25.3564635Z      61 |     ET_SWITCH_REAL_TYPES_AND(Bool, out_type, ctx, "div.out", CTYPE, [&]() {
2024-05-15T23:42:25.3565503Z         |     ^~~~~~~~~~~~~~~~~~~~~~~~
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2024-05-15T23:42:25.6960815Z   In file included from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2024-05-15T23:42:25.6963116Z                    from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2024-05-15T23:42:25.6964876Z                    from /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_mul.cpp:11:
2024-05-15T23:42:25.6966605Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_mul.cpp: In lambda function:
2024-05-15T23:42:25.6969027Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_mul.cpp:70:11: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:25.6970850Z      70 |           [](Vec x, Vec y) { return x * y; },
2024-05-15T23:42:25.6971514Z         |           ^
2024-05-15T23:42:25.6973221Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:888:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2024-05-15T23:42:26.0209727Z     888 |       __VA_ARGS__                                    \
2024-05-15T23:42:26.0210458Z         |       ^~~~~~~~~~~
2024-05-15T23:42:26.0212287Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:947:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2024-05-15T23:42:26.0214444Z     947 |   ET_INTERNAL_SWITCH_CASE(                                    \
2024-05-15T23:42:26.0215252Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:26.0217395Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:963:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2024-05-15T23:42:26.0219472Z     963 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2024-05-15T23:42:26.0220433Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:26.0222497Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1101:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2024-05-15T23:42:26.0224460Z    1101 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2024-05-15T23:42:26.0225292Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:26.0227138Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1117:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2024-05-15T23:42:26.0229037Z    1117 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2024-05-15T23:42:26.0229942Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:26.0231425Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_mul.cpp:67:5: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2024-05-15T23:42:26.0233047Z      67 |     ET_SWITCH_REALB_TYPES(out_type, ctx, "mul.out", CTYPE, [&]() {
2024-05-15T23:42:26.0233860Z         |     ^~~~~~~~~~~~~~~~~~~~~
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2024-05-15T23:42:29.1241176Z   In file included from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/selective_build.h:44,
2024-05-15T23:42:29.1243109Z                    from /pytorch/torchchat/et-build/src/executorch/../executorch/kernels/portable/cpu/scalar_utils.h:15,
2024-05-15T23:42:29.1244728Z                    from /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_add.cpp:11:
2024-05-15T23:42:29.1246374Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_add.cpp: In lambda function:
2024-05-15T23:42:29.1248757Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_add.cpp:53:11: note: the ABI for passing parameters with 32-byte alignment has changed in GCC 4.6
2024-05-15T23:42:29.1250675Z      53 |           [alpha_val](Vec x, Vec y) { return x + Vec(alpha_val) * y; },
2024-05-15T23:42:29.1251457Z         |           ^
2024-05-15T23:42:29.1253122Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:888:7: note: in definition of macro ‘ET_INTERNAL_SWITCH’
2024-05-15T23:42:29.1254837Z     888 |       __VA_ARGS__                                    \
2024-05-15T23:42:29.1255524Z         |       ^~~~~~~~~~~
2024-05-15T23:42:29.1257229Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:947:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE’
2024-05-15T23:42:29.1259362Z     947 |   ET_INTERNAL_SWITCH_CASE(                                    \
2024-05-15T23:42:29.1260127Z         |   ^~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:29.1262066Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:963:3: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES’
2024-05-15T23:42:29.1264144Z     963 |   ET_INTERNAL_SWITCH_CASE_REAL_TYPES(CTYPE_ALIAS, __VA_ARGS__)               \
2024-05-15T23:42:29.1265061Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:29.1266884Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1101:7: note: in expansion of macro ‘ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND’
2024-05-15T23:42:29.1268686Z    1101 |       ET_INTERNAL_SWITCH_CASE_REAL_TYPES_AND(          \
2024-05-15T23:42:29.1269459Z         |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:29.1271374Z   /pytorch/torchchat/et-build/src/executorch/../executorch/runtime/core/exec_aten/util/scalar_type_util.h:1117:3: note: in expansion of macro ‘ET_SWITCH_REAL_TYPES_AND’
2024-05-15T23:42:29.1273291Z    1117 |   ET_SWITCH_REAL_TYPES_AND(Bool, TYPE, CONTEXT, NAME, CTYPE_ALIAS, __VA_ARGS__)
2024-05-15T23:42:29.1274210Z         |   ^~~~~~~~~~~~~~~~~~~~~~~~
2024-05-15T23:42:29.1275685Z   /pytorch/torchchat/et-build/src/executorch/kernels/optimized/cpu/op_add.cpp:46:5: note: in expansion of macro ‘ET_SWITCH_REALB_TYPES’
2024-05-15T23:42:29.1277276Z      46 |     ET_SWITCH_REALB_TYPES(a_type, ctx, "add.out", CTYPE, [&]() {
2024-05-15T23:42:29.1278364Z         |     ^~~~~~~~~~~~~~~~~~~~~
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2024-05-15T23:45:08.1433831Z   copying backends/vulkan/vulkan_preprocess.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan
2024-05-15T23:45:08.1435429Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack
2024-05-15T23:45:08.1437001Z   copying backends/xnnpack/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack
2024-05-15T23:45:08.1439001Z   copying backends/xnnpack/xnnpack_preprocess.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack
2024-05-15T23:45:08.1440597Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple
2024-05-15T23:45:08.1442074Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps
2024-05-15T23:45:08.1443754Z   copying backends/apple/mps/mps_preprocess.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps
2024-05-15T23:45:08.1445424Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml
2024-05-15T23:45:08.1446870Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/compiler
2024-05-15T23:45:08.1448792Z   copying backends/apple/coreml/compiler/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/compiler
2024-05-15T23:45:08.1451143Z   copying backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/compiler
2024-05-15T23:45:08.1453311Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/partition
2024-05-15T23:45:08.1455386Z   copying backends/apple/coreml/partition/coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/partition
2024-05-15T23:45:08.1457570Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/quantizer
2024-05-15T23:45:08.1459610Z   copying backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/quantizer
2024-05-15T23:45:08.1461573Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/test
2024-05-15T23:45:08.1463579Z   copying backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/test
2024-05-15T23:45:08.1465933Z   copying backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/test
2024-05-15T23:45:08.1467936Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/runtime
2024-05-15T23:45:08.1469553Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/runtime/inmemoryfs
2024-05-15T23:45:08.1471829Z   copying backends/apple/coreml/runtime/inmemoryfs/setup.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/runtime/inmemoryfs
2024-05-15T23:45:08.1473991Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1475957Z   copying backends/apple/mps/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1478389Z   copying backends/apple/mps/operators/activation_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1480729Z   copying backends/apple/mps/operators/binary_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1482836Z   copying backends/apple/mps/operators/clamp_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1484355Z   copying backends/apple/mps/operators/constant_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1485988Z   copying backends/apple/mps/operators/convolution_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1487624Z   copying backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1489309Z   copying backends/apple/mps/operators/normalization_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1490883Z   copying backends/apple/mps/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1492423Z   copying backends/apple/mps/operators/op_getitem.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1493962Z   copying backends/apple/mps/operators/pad_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1495840Z   copying backends/apple/mps/operators/pooling_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1497620Z   copying backends/apple/mps/operators/range_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1499096Z   copying backends/apple/mps/operators/reduce_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1500571Z   copying backends/apple/mps/operators/shape_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1510482Z   copying backends/apple/mps/operators/unary_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1512198Z   copying backends/apple/mps/operators/indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1513786Z   copying backends/apple/mps/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.1515011Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/partition
2024-05-15T23:45:08.1516287Z   copying backends/apple/mps/partition/mps_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/partition
2024-05-15T23:45:08.1517633Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.1518992Z   copying backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.1520638Z   copying backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.1522166Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test
2024-05-15T23:45:08.1523311Z   copying backends/apple/mps/test/test_mps.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test
2024-05-15T23:45:08.1524707Z   copying backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test
2024-05-15T23:45:08.1526204Z   copying backends/apple/mps/test/test_mps_models.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test
2024-05-15T23:45:08.1527609Z   copying backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test
2024-05-15T23:45:08.1529040Z   copying backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test
2024-05-15T23:45:08.1530449Z   copying backends/apple/mps/test/test_mps_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test
2024-05-15T23:45:08.1531591Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/utils
2024-05-15T23:45:08.1532751Z   copying backends/apple/mps/utils/mps_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/utils
2024-05-15T23:45:08.1533854Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1534961Z   copying backends/arm/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1536268Z   copying backends/arm/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1537571Z   copying backends/arm/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1538857Z   copying backends/arm/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1540176Z   copying backends/arm/operators/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1541528Z   copying backends/arm/operators/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1542836Z   copying backends/arm/operators/op_clone.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1544127Z   copying backends/arm/operators/op_common.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1545429Z   copying backends/arm/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1546728Z   copying backends/arm/operators/op_dequant.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1548140Z   copying backends/arm/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1549442Z   copying backends/arm/operators/op_get_item.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1550868Z   copying backends/arm/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1552199Z   copying backends/arm/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1553505Z   copying backends/arm/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1554843Z   copying backends/arm/operators/op_placeholder.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1556219Z   copying backends/arm/operators/op_quant.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1557647Z   copying backends/arm/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1558937Z   copying backends/arm/operators/op_view.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators
2024-05-15T23:45:08.1560007Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test
2024-05-15T23:45:08.1561224Z   copying backends/arm/test/common.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test
2024-05-15T23:45:08.1562424Z   copying backends/arm/test/test_models.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test
2024-05-15T23:45:08.1563628Z   copying backends/arm/test/test_tosa.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test
2024-05-15T23:45:08.1564864Z   copying backends/arm/test/arm_tosa_reference.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test
2024-05-15T23:45:08.1565956Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/misc
2024-05-15T23:45:08.1567118Z   copying backends/arm/test/misc/test_debug_feats.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/misc
2024-05-15T23:45:08.1568622Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/models
2024-05-15T23:45:08.1570252Z   copying backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/models
2024-05-15T23:45:08.1571734Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1572843Z   copying backends/arm/test/ops/test_add.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1574162Z   copying backends/arm/test/ops/test_avg_pool.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1575507Z   copying backends/arm/test/ops/test_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1576844Z   copying backends/arm/test/ops/test_clone.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1578150Z   copying backends/arm/test/ops/test_conv.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1579490Z   copying backends/arm/test/ops/test_conv_combos.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1580874Z   copying backends/arm/test/ops/test_depthwise_conv.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1582225Z   copying backends/arm/test/ops/test_linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1583555Z   copying backends/arm/test/ops/test_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1585043Z   copying backends/arm/test/ops/test_softmax.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1586356Z   copying backends/arm/test/ops/test_view.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops
2024-05-15T23:45:08.1587451Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tester
2024-05-15T23:45:08.1588660Z   copying backends/arm/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tester
2024-05-15T23:45:08.1590017Z   copying backends/arm/test/tester/arm_tester.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tester
2024-05-15T23:45:08.1591168Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tosautil
2024-05-15T23:45:08.1592345Z   copying backends/arm/test/tosautil/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tosautil
2024-05-15T23:45:08.1593758Z   copying backends/arm/test/tosautil/tosa_test_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tosautil
2024-05-15T23:45:08.1594946Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party
2024-05-15T23:45:08.1595981Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib
2024-05-15T23:45:08.1597522Z   copying backends/arm/third-party/serialization_lib/setup.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib
2024-05-15T23:45:08.1598983Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python
2024-05-15T23:45:08.1600269Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer
2024-05-15T23:45:08.1602226Z   copying backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer
2024-05-15T23:45:08.1604394Z   copying backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/serializer
2024-05-15T23:45:08.1606106Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1607926Z   copying backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1610076Z   copying backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1612131Z   copying backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1614219Z   copying backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1616323Z   copying backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1618400Z   copying backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1620524Z   copying backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1622545Z   copying backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1624673Z   copying backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1626922Z   copying backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1629060Z   copying backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1631132Z   copying backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1633200Z   copying backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1635219Z   copying backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1637229Z   copying backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1639377Z   copying backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1641612Z   copying backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1643713Z   copying backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1645818Z   copying backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1647916Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1649967Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1652031Z   copying backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1654115Z   copying backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1656789Z   copying backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1659037Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1661096Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1663136Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1665302Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1667401Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1669475Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1671632Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1673727Z   copying backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1675808Z   copying backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1677935Z   copying backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.1679506Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test
2024-05-15T23:45:08.1680759Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts
2024-05-15T23:45:08.1682713Z   copying backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts
2024-05-15T23:45:08.1684426Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2024-05-15T23:45:08.1686260Z   copying backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2024-05-15T23:45:08.1687723Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence
2024-05-15T23:45:08.1688586Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.1689674Z   copying backends/cadence/aot/compiler.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.1690985Z   copying backends/cadence/aot/ops_registrations.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.1692266Z   copying backends/cadence/aot/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.1693500Z   copying backends/cadence/aot/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.1694766Z   copying backends/cadence/aot/export_example.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.1696069Z   copying backends/cadence/aot/quantizer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.1697150Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/utils
2024-05-15T23:45:08.1698269Z   copying backends/cadence/utils/gen_header.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/utils
2024-05-15T23:45:08.1699631Z   copying backends/cadence/utils/post_compilation.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/utils
2024-05-15T23:45:08.1700920Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_backend_delegate_passes
2024-05-15T23:45:08.1702623Z   copying backends/example/example_backend_delegate_passes/merge_to_dim_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_backend_delegate_passes
2024-05-15T23:45:08.1704659Z   copying backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_backend_delegate_passes
2024-05-15T23:45:08.1706161Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1707536Z   copying backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1709117Z   copying backends/example/example_operators/add.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1710640Z   copying backends/example/example_operators/conv2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1712204Z   copying backends/example/example_operators/conv_relu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1713807Z   copying backends/example/example_operators/dropout.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1715396Z   copying backends/example/example_operators/flatten.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1716950Z   copying backends/example/example_operators/linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1718543Z   copying backends/example/example_operators/op_base.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1720063Z   copying backends/example/example_operators/ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1721697Z   copying backends/example/example_operators/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators
2024-05-15T23:45:08.1722910Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1724078Z   copying backends/qualcomm/builders/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1725471Z   copying backends/qualcomm/builders/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1726862Z   copying backends/qualcomm/builders/op_add.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1728252Z   copying backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1729681Z   copying backends/qualcomm/builders/op_batch_norm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1731069Z   copying backends/qualcomm/builders/op_bmm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1732457Z   copying backends/qualcomm/builders/op_cast.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1733820Z   copying backends/qualcomm/builders/op_cat.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1735182Z   copying backends/qualcomm/builders/op_ceil.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1736562Z   copying backends/qualcomm/builders/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1737946Z   copying backends/qualcomm/builders/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1739456Z   copying backends/qualcomm/builders/op_depth_to_space.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1740902Z   copying backends/qualcomm/builders/op_dequantize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1742360Z   copying backends/qualcomm/builders/op_div.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1743761Z   copying backends/qualcomm/builders/op_embedding.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1745165Z   copying backends/qualcomm/builders/op_expand.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1746539Z   copying backends/qualcomm/builders/op_gelu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1747940Z   copying backends/qualcomm/builders/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1749348Z   copying backends/qualcomm/builders/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1750773Z   copying backends/qualcomm/builders/op_layer_norm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1752175Z   copying backends/qualcomm/builders/op_linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1753586Z   copying backends/qualcomm/builders/op_log_softmax.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1754987Z   copying backends/qualcomm/builders/op_matmul.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1756393Z   copying backends/qualcomm/builders/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1757886Z   copying backends/qualcomm/builders/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1759318Z   copying backends/qualcomm/builders/op_mul.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1761267Z   copying backends/qualcomm/builders/op_pad.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1762658Z   copying backends/qualcomm/builders/op_pow.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1764045Z   copying backends/qualcomm/builders/op_quantize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1765423Z   copying backends/qualcomm/builders/op_relu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1766809Z   copying backends/qualcomm/builders/op_reshape.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1768196Z   copying backends/qualcomm/builders/op_rsqrt.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1769617Z   copying backends/qualcomm/builders/op_select_copy.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1771180Z   copying backends/qualcomm/builders/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1772858Z   copying backends/qualcomm/builders/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1774466Z   copying backends/qualcomm/builders/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1776197Z   copying backends/qualcomm/builders/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1777898Z   copying backends/qualcomm/builders/op_sqrt.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1779680Z   copying backends/qualcomm/builders/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1781236Z   copying backends/qualcomm/builders/op_sub.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1782897Z   copying backends/qualcomm/builders/op_sum_int_list.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1784422Z   copying backends/qualcomm/builders/op_tanh.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1786073Z   copying backends/qualcomm/builders/op_transpose.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1787681Z   copying backends/qualcomm/builders/op_unsqueeze.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1789479Z   copying backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1791123Z   copying backends/qualcomm/builders/qnn_constants.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1792817Z   copying backends/qualcomm/builders/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.1794129Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/partition
2024-05-15T23:45:08.1795525Z   copying backends/qualcomm/partition/common_defs.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/partition
2024-05-15T23:45:08.1797351Z   copying backends/qualcomm/partition/qnn_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/partition
2024-05-15T23:45:08.1798647Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1800143Z   copying backends/qualcomm/passes/annotate_and_quant_scalar.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1801927Z   copying backends/qualcomm/passes/annotate_decomposed.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1803658Z   copying backends/qualcomm/passes/annotate_quant_attrs.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1805372Z   copying backends/qualcomm/passes/convert_binary_op_with_scalar.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1807141Z   copying backends/qualcomm/passes/convert_bmm_to_matmul.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1808812Z   copying backends/qualcomm/passes/convert_hardsigmoid.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1810514Z   copying backends/qualcomm/passes/convert_hardswish.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1812299Z   copying backends/qualcomm/passes/convert_interpolate_with_upsample2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1813959Z   copying backends/qualcomm/passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1815674Z   copying backends/qualcomm/passes/decompose_scaled_dot_product_attention.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1817526Z   copying backends/qualcomm/passes/decompose_silu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1819291Z   copying backends/qualcomm/passes/fold_qdq.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1820784Z   copying backends/qualcomm/passes/i64_to_i32.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1822536Z   copying backends/qualcomm/passes/insert_io_qdq.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1824181Z   copying backends/qualcomm/passes/insert_requantize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1825800Z   copying backends/qualcomm/passes/layout_transform.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1827576Z   copying backends/qualcomm/passes/recompose_pixel_shuffle.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1829219Z   copying backends/qualcomm/passes/reduce_dynamic_range.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1830939Z   copying backends/qualcomm/passes/remove_clone.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1832533Z   copying backends/qualcomm/passes/replace_inf_buffer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1834074Z   copying backends/qualcomm/passes/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.1835350Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/quantizer
2024-05-15T23:45:08.1836554Z   copying backends/qualcomm/quantizer/quantizer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/quantizer
2024-05-15T23:45:08.1838335Z   copying backends/qualcomm/quantizer/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/quantizer
2024-05-15T23:45:08.1839694Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.1841341Z   copying backends/qualcomm/serialization/qnn_compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.1843320Z   copying backends/qualcomm/serialization/qnn_compile_spec_serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.1844628Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.1846047Z   copying backends/qualcomm/tests/models.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.1847567Z   copying backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.1849135Z   copying backends/qualcomm/tests/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.1850626Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/utils
2024-05-15T23:45:08.1851878Z   copying backends/qualcomm/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/utils
2024-05-15T23:45:08.1853049Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/transforms/test
2024-05-15T23:45:08.1854401Z   copying backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/transforms/test
2024-05-15T23:45:08.1855749Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/partitioner
2024-05-15T23:45:08.1857070Z   copying backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/partitioner
2024-05-15T23:45:08.1858377Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.1859716Z   copying backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.1861529Z   copying backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.1863310Z   copying backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.1864585Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test
2024-05-15T23:45:08.1865765Z   copying backends/vulkan/test/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test
2024-05-15T23:45:08.1867271Z   copying backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test
2024-05-15T23:45:08.1868751Z   copying backends/vulkan/test/test_vulkan_delegate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test
2024-05-15T23:45:08.1869962Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime
2024-05-15T23:45:08.1870908Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/api
2024-05-15T23:45:08.1872210Z   copying backends/vulkan/runtime/api/gen_vulkan_spv.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/api
2024-05-15T23:45:08.1873505Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests
2024-05-15T23:45:08.1874853Z   copying backends/vulkan/test/op_tests/generate_op_tests.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests
2024-05-15T23:45:08.1876479Z   copying backends/vulkan/test/op_tests/cases.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests
2024-05-15T23:45:08.1877832Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests/utils
2024-05-15T23:45:08.1879262Z   copying backends/vulkan/test/op_tests/utils/codegen.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests/utils
2024-05-15T23:45:08.1881106Z   copying backends/vulkan/test/op_tests/utils/codegen_base.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests/utils
2024-05-15T23:45:08.1882456Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party
2024-05-15T23:45:08.1883520Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/volk
2024-05-15T23:45:08.1884889Z   copying backends/vulkan/third-party/volk/generate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/volk
2024-05-15T23:45:08.1886286Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers
2024-05-15T23:45:08.1887545Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1889263Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1891421Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1893490Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1895595Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/generator.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1897624Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1899656Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/reg.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1901893Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.1903732Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2024-05-15T23:45:08.1905703Z   copying backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2024-05-15T23:45:08.1907448Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/VulkanMemoryAllocator
2024-05-15T23:45:08.1908789Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools
2024-05-15T23:45:08.1910301Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2024-05-15T23:45:08.1912415Z   copying backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2024-05-15T23:45:08.1914165Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1915410Z   copying backends/xnnpack/operators/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1916883Z   copying backends/xnnpack/operators/node_visitor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1918450Z   copying backends/xnnpack/operators/op_abs.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1919902Z   copying backends/xnnpack/operators/op_add.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1921543Z   copying backends/xnnpack/operators/op_addmm.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1923031Z   copying backends/xnnpack/operators/op_cat.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1924530Z   copying backends/xnnpack/operators/op_ceiling.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1926005Z   copying backends/xnnpack/operators/op_clamp.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1927468Z   copying backends/xnnpack/operators/op_conv2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1929006Z   copying backends/xnnpack/operators/op_dequantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1930536Z   copying backends/xnnpack/operators/op_div.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1932076Z   copying backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1933747Z   copying backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1935258Z   copying backends/xnnpack/operators/op_elu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1936713Z   copying backends/xnnpack/operators/op_floor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1938409Z   copying backends/xnnpack/operators/op_hardswish.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1940512Z   copying backends/xnnpack/operators/op_hardtanh.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1942016Z   copying backends/xnnpack/operators/op_leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1943528Z   copying backends/xnnpack/operators/op_linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1945007Z   copying backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1946531Z   copying backends/xnnpack/operators/op_max_dim.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1947922Z   copying backends/xnnpack/operators/op_maximum.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1949323Z   copying backends/xnnpack/operators/op_minimum.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1950742Z   copying backends/xnnpack/operators/op_multiply.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1952153Z   copying backends/xnnpack/operators/op_negate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1953550Z   copying backends/xnnpack/operators/op_permute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1954946Z   copying backends/xnnpack/operators/op_prelu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1956405Z   copying backends/xnnpack/operators/op_quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1957938Z   copying backends/xnnpack/operators/op_relu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1959316Z   copying backends/xnnpack/operators/op_sdpa.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1960706Z   copying backends/xnnpack/operators/op_sigmoid.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1962323Z   copying backends/xnnpack/operators/op_skip_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1963742Z   copying backends/xnnpack/operators/op_slice_copy.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1965161Z   copying backends/xnnpack/operators/op_softmax.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1966597Z   copying backends/xnnpack/operators/op_square.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1968012Z   copying backends/xnnpack/operators/op_square_root.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1969424Z   copying backends/xnnpack/operators/op_squeeze.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1970887Z   copying backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1972420Z   copying backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1973875Z   copying backends/xnnpack/operators/op_sub.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1975246Z   copying backends/xnnpack/operators/op_to_copy.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1976656Z   copying backends/xnnpack/operators/quant_params.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1978225Z   copying backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1979663Z   copying backends/xnnpack/operators/op_max_pool2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1981149Z   copying backends/xnnpack/operators/op_mean_dim.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.1982328Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition
2024-05-15T23:45:08.1983516Z   copying backends/xnnpack/partition/configs.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition
2024-05-15T23:45:08.1984975Z   copying backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition
2024-05-15T23:45:08.1986166Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1987293Z   copying backends/xnnpack/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1988733Z   copying backends/xnnpack/passes/channels_last_tagged_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1990238Z   copying backends/xnnpack/passes/conv1d_unsqueeze_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1991664Z   copying backends/xnnpack/passes/convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1993062Z   copying backends/xnnpack/passes/convert_to_sdpa.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1994532Z   copying backends/xnnpack/passes/convert_to_upsample_bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1996071Z   copying backends/xnnpack/passes/fuse_activation_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1997613Z   copying backends/xnnpack/passes/fuse_batch_norm_with_conv.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.1999064Z   copying backends/xnnpack/passes/prelu_reshape_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.2000482Z   copying backends/xnnpack/passes/remove_getitem_op.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.2002138Z   copying backends/xnnpack/passes/tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.2003577Z   copying backends/xnnpack/passes/xnnpack_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.2004748Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.2006071Z   copying backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.2007695Z   copying backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.2008931Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test
2024-05-15T23:45:08.2010079Z   copying backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test
2024-05-15T23:45:08.2011485Z   copying backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test
2024-05-15T23:45:08.2012675Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party
2024-05-15T23:45:08.2014015Z   copying backends/xnnpack/third-party/generate-cpuinfo-wrappers.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party
2024-05-15T23:45:08.2015781Z   copying backends/xnnpack/third-party/generate-xnnpack-wrappers.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party
2024-05-15T23:45:08.2017108Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/utils
2024-05-15T23:45:08.2018219Z   copying backends/xnnpack/utils/configs.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/utils
2024-05-15T23:45:08.2019533Z   copying backends/xnnpack/utils/quant_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/utils
2024-05-15T23:45:08.2020829Z   copying backends/xnnpack/utils/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/utils
2024-05-15T23:45:08.2022161Z   copying backends/xnnpack/utils/xnnpack_constants.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/utils
2024-05-15T23:45:08.2023365Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition/graphs
2024-05-15T23:45:08.2024708Z   copying backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition/graphs
2024-05-15T23:45:08.2026339Z   copying backends/xnnpack/partition/graphs/sdpa.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition/graphs
2024-05-15T23:45:08.2027575Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2028813Z   copying backends/xnnpack/test/models/deeplab_v3.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2030509Z   copying backends/xnnpack/test/models/edsr.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2032520Z   copying backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2034903Z   copying backends/xnnpack/test/models/inception_v3.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2037429Z   copying backends/xnnpack/test/models/inception_v4.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2039883Z   copying backends/xnnpack/test/models/llama2_et_example.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2042482Z   copying backends/xnnpack/test/models/mobilebert.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2044909Z   copying backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2047420Z   copying backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2049818Z   copying backends/xnnpack/test/models/resnet.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2052256Z   copying backends/xnnpack/test/models/torchvision_vit.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2054717Z   copying backends/xnnpack/test/models/very_big_model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2057069Z   copying backends/xnnpack/test/models/w2l.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.2058948Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2060795Z   copying backends/xnnpack/test/ops/abs.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2062915Z   copying backends/xnnpack/test/ops/add.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2065340Z   copying backends/xnnpack/test/ops/avgpool2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2067647Z   copying backends/xnnpack/test/ops/bilinear2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2070018Z   copying backends/xnnpack/test/ops/cat.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2072206Z   copying backends/xnnpack/test/ops/ceil.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2074388Z   copying backends/xnnpack/test/ops/clamp.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2076600Z   copying backends/xnnpack/test/ops/conv1d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2078874Z   copying backends/xnnpack/test/ops/conv2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2081165Z   copying backends/xnnpack/test/ops/div.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2083120Z   copying backends/xnnpack/test/ops/elu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2084490Z   copying backends/xnnpack/test/ops/floor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2085921Z   copying backends/xnnpack/test/ops/hardswish.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2087330Z   copying backends/xnnpack/test/ops/hardtanh.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2088733Z   copying backends/xnnpack/test/ops/leaky_relu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2090125Z   copying backends/xnnpack/test/ops/max_dim.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2091497Z   copying backends/xnnpack/test/ops/maximum.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2092875Z   copying backends/xnnpack/test/ops/mean_dim.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2094262Z   copying backends/xnnpack/test/ops/minimum.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2095698Z   copying backends/xnnpack/test/ops/multiply.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2097087Z   copying backends/xnnpack/test/ops/negate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2098468Z   copying backends/xnnpack/test/ops/permute.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2099825Z   copying backends/xnnpack/test/ops/pow.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2101157Z   copying backends/xnnpack/test/ops/prelu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2102589Z   copying backends/xnnpack/test/ops/quantize_per_tensor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2104002Z   copying backends/xnnpack/test/ops/relu.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2105340Z   copying backends/xnnpack/test/ops/sdpa.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2106688Z   copying backends/xnnpack/test/ops/sigmoid.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2108074Z   copying backends/xnnpack/test/ops/slice_copy.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2109600Z   copying backends/xnnpack/test/ops/softmax.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2110962Z   copying backends/xnnpack/test/ops/sqrt.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2112386Z   copying backends/xnnpack/test/ops/square.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2113822Z   copying backends/xnnpack/test/ops/static_constant_pad.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2115229Z   copying backends/xnnpack/test/ops/sub.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2116619Z   copying backends/xnnpack/test/ops/linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2118123Z   copying backends/xnnpack/test/ops/maxpool2d.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.2120743Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.2122246Z   copying backends/xnnpack/test/passes/test_activation_fusion.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.2123819Z   copying backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.2125462Z   copying backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.2127095Z   copying backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.2128676Z   copying backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.2130276Z   copying backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.2131576Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/serialization
2024-05-15T23:45:08.2132975Z   copying backends/xnnpack/test/serialization/test_serialization.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/serialization
2024-05-15T23:45:08.2134652Z   copying backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/serialization
2024-05-15T23:45:08.2135990Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/tester
2024-05-15T23:45:08.2137189Z   copying backends/xnnpack/test/tester/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/tester
2024-05-15T23:45:08.2138613Z   copying backends/xnnpack/test/tester/tester.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/tester
2024-05-15T23:45:08.2139839Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16
2024-05-15T23:45:08.2141158Z   copying backends/xnnpack/third-party/FP16/configure.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16
2024-05-15T23:45:08.2142443Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv
2024-05-15T23:45:08.2143774Z   copying backends/xnnpack/third-party/FXdiv/configure.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv
2024-05-15T23:45:08.2145087Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo
2024-05-15T23:45:08.2146448Z   copying backends/xnnpack/third-party/cpuinfo/configure.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo
2024-05-15T23:45:08.2147933Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool
2024-05-15T23:45:08.2149365Z   copying backends/xnnpack/third-party/pthreadpool/configure.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool
2024-05-15T23:45:08.2150834Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include
2024-05-15T23:45:08.2151985Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16
2024-05-15T23:45:08.2153501Z   copying backends/xnnpack/third-party/FP16/include/fp16/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16
2024-05-15T23:45:08.2155314Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16
2024-05-15T23:45:08.2157121Z   copying backends/xnnpack/third-party/FP16/include/fp16/avx2.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/include/fp16
2024-05-15T23:45:08.2158653Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/test
2024-05-15T23:45:08.2159802Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2024-05-15T23:45:08.2161581Z   copying backends/xnnpack/third-party/FP16/test/peachpy/stubs.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/test/peachpy
2024-05-15T23:45:08.2163031Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK
2024-05-15T23:45:08.2164162Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2024-05-15T23:45:08.2165785Z   copying backends/xnnpack/third-party/XNNPACK/scripts/convert-assembly-to-jit.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2024-05-15T23:45:08.2167759Z   copying backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2024-05-15T23:45:08.2169260Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2170995Z   copying backends/xnnpack/third-party/XNNPACK/tools/check-assembly-and-jit-microkernels-in-sync.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2173040Z   copying backends/xnnpack/third-party/XNNPACK/tools/dump-jit-output.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2174965Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-argmaxpool-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2176923Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-avgpool-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2178842Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-bfly4-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2180791Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2182773Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-conv-hwc2chw-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2184801Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-multipass-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2186835Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv-unipass-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2188955Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-dwconv2d-chw-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2190930Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-enum.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2192808Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-fftr-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2194701Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-fill-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2196712Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-filterbank-accumulate-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2198926Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-filterbank-subtract-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2201145Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gavgpool-cw-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2203130Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gavgpool-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2205047Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-gemm-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2207014Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-chw-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2209004Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-ibilinear-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2210967Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-norm-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2355106Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-lut-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2357849Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-maxpool-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2360133Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-pack-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2362497Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-packb-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2364706Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-packw-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2366827Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-pad-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2369015Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-prelu-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2371262Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2373682Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddextexp-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2376087Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-raddstoreexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2378401Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-reduce-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2380718Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-rmaxabs-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2382860Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-spmm-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2385095Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-tanh-eval.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2387253Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-transpose-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2389536Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vbinary-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2391655Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vcvt-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2393898Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vhswish-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2396034Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vlog-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2398372Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vlrelu-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2400517Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vlshift-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2402948Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vmulcaddc-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2405178Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleexpminusmax-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2407543Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vscaleextexp-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2409746Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vsquareabs-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2412049Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-benchmark.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2414363Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2416500Z   copying backends/xnnpack/third-party/XNNPACK/tools/generate-window-test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2418796Z   copying backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2421007Z   copying backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2423081Z   copying backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.2425170Z   copying backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools
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2024-05-15T23:45:08.2430941Z   copying backends/xnnpack/third-party/cpuinfo/scripts/arm-linux-filesystem-dump.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts
2024-05-15T23:45:08.2433053Z   copying backends/xnnpack/third-party/cpuinfo/scripts/parse-x86-cpuid-dump.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/scripts
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2024-05-15T23:45:08.2439631Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples
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2024-05-15T23:45:08.2441808Z   copying examples/models/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models
2024-05-15T23:45:08.2443152Z   copying examples/models/model_base.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models
2024-05-15T23:45:08.2444369Z   copying examples/models/model_factory.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models
2024-05-15T23:45:08.2445582Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/deeplab_v3
2024-05-15T23:45:08.2446934Z   copying examples/models/deeplab_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/deeplab_v3
2024-05-15T23:45:08.2448479Z   copying examples/models/deeplab_v3/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/deeplab_v3
2024-05-15T23:45:08.2449764Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/edsr
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2024-05-15T23:45:08.2453627Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/emformer_rnnt
2024-05-15T23:45:08.2455033Z   copying examples/models/emformer_rnnt/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/emformer_rnnt
2024-05-15T23:45:08.2456493Z   copying examples/models/emformer_rnnt/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/emformer_rnnt
2024-05-15T23:45:08.2457697Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v3
2024-05-15T23:45:08.2459228Z   copying examples/models/inception_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v3
2024-05-15T23:45:08.2461247Z   copying examples/models/inception_v3/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v3
2024-05-15T23:45:08.2462620Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v4
2024-05-15T23:45:08.2463942Z   copying examples/models/inception_v4/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v4
2024-05-15T23:45:08.2465380Z   copying examples/models/inception_v4/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v4
2024-05-15T23:45:08.2466829Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2468089Z   copying examples/models/llama2/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2469442Z   copying examples/models/llama2/builder.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2470833Z   copying examples/models/llama2/eval_llama.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2472196Z   copying examples/models/llama2/eval_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2473586Z   copying examples/models/llama2/export_llama.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2474962Z   copying examples/models/llama2/export_llama_lib.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2476365Z   copying examples/models/llama2/fairseq2.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2477880Z   copying examples/models/llama2/install_requirement_helper.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2479295Z   copying examples/models/llama2/llama_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2480665Z   copying examples/models/llama2/llama_transformer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2482229Z   copying examples/models/llama2/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2
2024-05-15T23:45:08.2483374Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llava_encoder
2024-05-15T23:45:08.2484609Z   copying examples/models/llava_encoder/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llava_encoder
2024-05-15T23:45:08.2486031Z   copying examples/models/llava_encoder/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llava_encoder
2024-05-15T23:45:08.2487212Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilebert
2024-05-15T23:45:08.2488405Z   copying examples/models/mobilebert/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilebert
2024-05-15T23:45:08.2489793Z   copying examples/models/mobilebert/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilebert
2024-05-15T23:45:08.2490970Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v2
2024-05-15T23:45:08.2492201Z   copying examples/models/mobilenet_v2/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v2
2024-05-15T23:45:08.2493624Z   copying examples/models/mobilenet_v2/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v2
2024-05-15T23:45:08.2494809Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v3
2024-05-15T23:45:08.2496027Z   copying examples/models/mobilenet_v3/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v3
2024-05-15T23:45:08.2497445Z   copying examples/models/mobilenet_v3/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v3
2024-05-15T23:45:08.2498737Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/resnet
2024-05-15T23:45:08.2499852Z   copying examples/models/resnet/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/resnet
2024-05-15T23:45:08.2501217Z   copying examples/models/resnet/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/resnet
2024-05-15T23:45:08.2502367Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/torchvision_vit
2024-05-15T23:45:08.2503631Z   copying examples/models/torchvision_vit/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/torchvision_vit
2024-05-15T23:45:08.2505116Z   copying examples/models/torchvision_vit/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/torchvision_vit
2024-05-15T23:45:08.2506312Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/toy_model
2024-05-15T23:45:08.2507483Z   copying examples/models/toy_model/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/toy_model
2024-05-15T23:45:08.2508883Z   copying examples/models/toy_model/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/toy_model
2024-05-15T23:45:08.2510051Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/wav2letter
2024-05-15T23:45:08.2511247Z   copying examples/models/wav2letter/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/wav2letter
2024-05-15T23:45:08.2512689Z   copying examples/models/wav2letter/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/wav2letter
2024-05-15T23:45:08.2513959Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.2515319Z   copying examples/models/llama2/custom_ops/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.2516978Z   copying examples/models/llama2/custom_ops/sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.2518824Z   copying examples/models/llama2/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.2520255Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.2521911Z   copying examples/models/llama2/experimental/generate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.2523653Z   copying examples/models/llama2/experimental/load_gguf_q4_0.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.2525412Z   copying examples/models/llama2/experimental/subclass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.2527104Z   copying examples/models/llama2/experimental/test_subclass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.2528455Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/lib
2024-05-15T23:45:08.2529698Z   copying examples/models/llama2/lib/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/lib
2024-05-15T23:45:08.2531164Z   copying examples/models/llama2/lib/quant_lib.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/lib
2024-05-15T23:45:08.2532650Z   copying examples/models/llama2/lib/partitioner_lib.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/lib
2024-05-15T23:45:08.2533962Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/runner
2024-05-15T23:45:08.2535263Z   copying examples/models/llama2/runner/generation.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/runner
2024-05-15T23:45:08.2536767Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.2538294Z   copying examples/models/llama2/source_transformation/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.2540190Z   copying examples/models/llama2/source_transformation/quantize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.2542000Z   copying examples/models/llama2/source_transformation/rope.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.2543778Z   copying examples/models/llama2/source_transformation/sdpa.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.2545149Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tests
2024-05-15T23:45:08.2546711Z   copying examples/models/llama2/tests/test_simple_sdpa.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tests
2024-05-15T23:45:08.2548067Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer
2024-05-15T23:45:08.2549440Z   copying examples/models/llama2/tokenizer/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer
2024-05-15T23:45:08.2551053Z   copying examples/models/llama2/tokenizer/tiktoken.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer
2024-05-15T23:45:08.2552753Z   copying examples/models/llama2/tokenizer/tokenizer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer
2024-05-15T23:45:08.2554266Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party
2024-05-15T23:45:08.2555485Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp
2024-05-15T23:45:08.2557178Z   copying examples/models/llama2/third-party/abseil-cpp/conanfile.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp
2024-05-15T23:45:08.2618415Z   copying examples/models/llama2/third-party/abseil-cpp/create_lts.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp
2024-05-15T23:45:08.2620562Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl
2024-05-15T23:45:08.2622461Z   copying examples/models/llama2/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl
2024-05-15T23:45:08.2624305Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts
2024-05-15T23:45:08.2626072Z   copying examples/models/llama2/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts
2024-05-15T23:45:08.2628313Z   copying examples/models/llama2/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts
2024-05-15T23:45:08.2629973Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2
2024-05-15T23:45:08.2631192Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/benchlog
2024-05-15T23:45:08.2632823Z   copying examples/models/llama2/third-party/re2/benchlog/benchplot.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/benchlog
2024-05-15T23:45:08.2634422Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.2636062Z   copying examples/models/llama2/third-party/re2/python/re2.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.2638518Z   copying examples/models/llama2/third-party/re2/python/re2_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.2641038Z   copying examples/models/llama2/third-party/re2/python/setup.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.2642804Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.2644553Z   copying examples/models/llama2/third-party/re2/re2/make_unicode_casefold.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.2646847Z   copying examples/models/llama2/third-party/re2/re2/make_unicode_groups.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.2648957Z   copying examples/models/llama2/third-party/re2/re2/unicode.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.2650641Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer/test
2024-05-15T23:45:08.2652286Z   copying examples/models/llama2/tokenizer/test/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer/test
2024-05-15T23:45:08.2654196Z   copying examples/models/llama2/tokenizer/test/test_tokenizer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer/test
2024-05-15T23:45:08.2655594Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2656572Z   copying exir/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2657620Z   copying exir/common.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2658671Z   copying exir/control_flow.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2659656Z   copying exir/delegate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2660757Z   copying exir/dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2661913Z   copying exir/dynamic_shape.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2662984Z   copying exir/error.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2663926Z   copying exir/graph.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2664975Z   copying exir/graph_module.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2666168Z   copying exir/lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2667314Z   copying exir/memory.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2668387Z   copying exir/memory_planning.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2669412Z   copying exir/pass_base.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2670491Z   copying exir/pass_manager.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2671620Z   copying exir/print_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2672746Z   copying exir/scalar_type.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2673736Z   copying exir/schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2674750Z   copying exir/sym_util.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2675838Z   copying exir/tracer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2676882Z   copying exir/types.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2678104Z   copying exir/version.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2679089Z   copying exir/wrap.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2680162Z   copying exir/tensor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir
2024-05-15T23:45:08.2681420Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.2682416Z   copying exir/_serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.2683567Z   copying exir/_serialize/_cord.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.2684729Z   copying exir/_serialize/_dataclass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.2685931Z   copying exir/_serialize/_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.2687267Z   copying exir/_serialize/_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.2688418Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend
2024-05-15T23:45:08.2689512Z   copying exir/backend/backend_api.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend
2024-05-15T23:45:08.2690800Z   copying exir/backend/backend_details.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend
2024-05-15T23:45:08.2692169Z   copying exir/backend/compile_spec_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend
2024-05-15T23:45:08.2693511Z   copying exir/backend/partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend
2024-05-15T23:45:08.2694748Z   copying exir/backend/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend
2024-05-15T23:45:08.2695852Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture
2024-05-15T23:45:08.2696983Z   copying exir/capture/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture
2024-05-15T23:45:08.2698261Z   copying exir/capture/_capture.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture
2024-05-15T23:45:08.2699313Z   copying exir/capture/_unlift.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture
2024-05-15T23:45:08.2700554Z   copying exir/capture/_config.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture
2024-05-15T23:45:08.2701621Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects
2024-05-15T23:45:08.2702665Z   copying exir/dialects/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects
2024-05-15T23:45:08.2703877Z   copying exir/dialects/_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects
2024-05-15T23:45:08.2704970Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit
2024-05-15T23:45:08.2706010Z   copying exir/emit/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit
2024-05-15T23:45:08.2707177Z   copying exir/emit/_emit_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit
2024-05-15T23:45:08.2708286Z   copying exir/emit/_emitter.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit
2024-05-15T23:45:08.2709343Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator
2024-05-15T23:45:08.2710505Z   copying exir/operator/convert.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator
2024-05-15T23:45:08.2711780Z   copying exir/operator/manip.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator
2024-05-15T23:45:08.2712869Z   copying exir/operator/util.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator
2024-05-15T23:45:08.2713960Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2715059Z   copying exir/passes/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2716419Z   copying exir/passes/_quant_patterns_and_replacements.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2718056Z   copying exir/passes/const_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2719274Z   copying exir/passes/debug_handle_generator_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2720813Z   copying exir/passes/dim_order_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2728802Z   copying exir/passes/dynamic_shape_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2730515Z   copying exir/passes/executorch_prim_ops_registry.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2732220Z   copying exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2733726Z   copying exir/passes/memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2735187Z   copying exir/passes/memory_planning_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2736498Z   copying exir/passes/normalize_transpose_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2738003Z   copying exir/passes/normalize_view_copy_base_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2739299Z   copying exir/passes/pass_registry.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2740519Z   copying exir/passes/quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2741773Z   copying exir/passes/remove_graph_asserts_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2743086Z   copying exir/passes/remove_mixed_type_operators.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2744377Z   copying exir/passes/remove_noop_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2745697Z   copying exir/passes/replace_aten_with_edge_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2747286Z   copying exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2748687Z   copying exir/passes/replace_edge_with_backend_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2750048Z   copying exir/passes/replace_sym_size_op_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2751363Z   copying exir/passes/scalar_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2752570Z   copying exir/passes/spec_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2753831Z   copying exir/passes/sym_shape_eval_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2755103Z   copying exir/passes/sym_to_tensor_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2756310Z   copying exir/passes/constant_prop_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2757796Z   copying exir/passes/replace_view_copy_with_view_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes
2024-05-15T23:45:08.2758900Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program
2024-05-15T23:45:08.2759964Z   copying exir/program/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program
2024-05-15T23:45:08.2761502Z   copying exir/program/_fake_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program
2024-05-15T23:45:08.2762790Z   copying exir/program/_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program
2024-05-15T23:45:08.2763982Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde
2024-05-15T23:45:08.2764970Z   copying exir/serde/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde
2024-05-15T23:45:08.2766088Z   copying exir/serde/schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde
2024-05-15T23:45:08.2767314Z   copying exir/serde/serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde
2024-05-15T23:45:08.2768546Z   copying exir/serde/export_serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde
2024-05-15T23:45:08.2769576Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2770580Z   copying exir/tests/asr_joiner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2771716Z   copying exir/tests/common.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2772872Z   copying exir/tests/control_flow_models.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2774182Z   copying exir/tests/dynamic_shape_models.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2775378Z   copying exir/tests/models.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2776547Z   copying exir/tests/test_arg_validator.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2777776Z   copying exir/tests/test_capture.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2778918Z   copying exir/tests/test_common.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2780126Z   copying exir/tests/test_delegate.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2781297Z   copying exir/tests/test_dim_order_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2782650Z   copying exir/tests/test_dynamic_shape_propagation.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2783911Z   copying exir/tests/test_error.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2785263Z   copying exir/tests/test_memory_format_ops_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2786590Z   copying exir/tests/test_op_convert.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2787898Z   copying exir/tests/test_pass_infra.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2789314Z   copying exir/tests/test_print_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2790555Z   copying exir/tests/test_quant_fusion_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2791811Z   copying exir/tests/test_quantization.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2793051Z   copying exir/tests/test_serde.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2794206Z   copying exir/tests/test_tensor.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2795381Z   copying exir/tests/test_tracer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2796582Z   copying exir/tests/test_verification.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2797865Z   copying exir/tests/transformer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2799140Z   copying exir/tests/test_memory_planning.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2800365Z   copying exir/tests/test_passes.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2801854Z   copying exir/tests/test_remove_view_copy.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests
2024-05-15T23:45:08.2803176Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification
2024-05-15T23:45:08.2804345Z   copying exir/verification/arg_validator.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification
2024-05-15T23:45:08.2805797Z   copying exir/verification/dev_html.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification
2024-05-15T23:45:08.2807163Z   copying exir/verification/interpreter.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification
2024-05-15T23:45:08.2808539Z   copying exir/verification/verifier.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification
2024-05-15T23:45:08.2809744Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/test
2024-05-15T23:45:08.2810941Z   copying exir/_serialize/test/test_cord.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/test
2024-05-15T23:45:08.2812365Z   copying exir/_serialize/test/test_flatbuffer.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/test
2024-05-15T23:45:08.2813828Z   copying exir/_serialize/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/test
2024-05-15T23:45:08.2815154Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.2816776Z   copying exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.2818767Z   copying exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.2820680Z   copying exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.2822100Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2823411Z   copying exir/backend/test/backend_with_compiler_demo.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2824998Z   copying exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2826558Z   copying exir/backend/test/hta_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2828029Z   copying exir/backend/test/op_partitioner_demo.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2829498Z   copying exir/backend/test/qnn_backend_demo.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2848294Z   copying exir/backend/test/test_backends.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2849954Z   copying exir/backend/test/test_backends_lifted.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2851663Z   copying exir/backend/test/test_backends_nested.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2853530Z   copying exir/backend/test/test_debug_handle_map.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2855085Z   copying exir/backend/test/test_delegate_map_builder.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2856489Z   copying exir/backend/test/test_graph_partition.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2857898Z   copying exir/backend/test/test_lowered_backend_module.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2859284Z   copying exir/backend/test/test_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2860595Z   copying exir/backend/test/test_passes.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2862035Z   copying exir/backend/test/test_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test
2024-05-15T23:45:08.2863132Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos
2024-05-15T23:45:08.2880493Z   copying exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos
2024-05-15T23:45:08.2882462Z   copying exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos
2024-05-15T23:45:08.2883790Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.2885243Z   copying exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.2887029Z   copying exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.2888801Z   copying exir/backend/test/demos/rpc/test_rpc.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.2890085Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/backend
2024-05-15T23:45:08.2891275Z   copying exir/dialects/backend/_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/backend
2024-05-15T23:45:08.2892443Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge
2024-05-15T23:45:08.2893587Z   copying exir/dialects/edge/_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge
2024-05-15T23:45:08.2894701Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/test
2024-05-15T23:45:08.2895915Z   copying exir/dialects/test/test_exir_dialect_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/test
2024-05-15T23:45:08.2897133Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/backend/test
2024-05-15T23:45:08.2898440Z   copying exir/dialects/backend/test/test_backend_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/backend/test
2024-05-15T23:45:08.2899727Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/arg
2024-05-15T23:45:08.2900930Z   copying exir/dialects/edge/arg/model.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/arg
2024-05-15T23:45:08.2902337Z   copying exir/dialects/edge/arg/type.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/arg
2024-05-15T23:45:08.2903549Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.2904818Z   copying exir/dialects/edge/dtype/runner.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.2906270Z   copying exir/dialects/edge/dtype/supported.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.2907747Z   copying exir/dialects/edge/dtype/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.2914842Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op
2024-05-15T23:45:08.2916219Z   copying exir/dialects/edge/op/api.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op
2024-05-15T23:45:08.2917757Z   copying exir/dialects/edge/op/sample_input.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op
2024-05-15T23:45:08.2919093Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/spec
2024-05-15T23:45:08.2920519Z   copying exir/dialects/edge/spec/gen.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/spec
2024-05-15T23:45:08.2922239Z   copying exir/dialects/edge/spec/utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/spec
2024-05-15T23:45:08.2923776Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/test
2024-05-15T23:45:08.2925159Z   copying exir/dialects/edge/test/test_edge_ops.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/test
2024-05-15T23:45:08.2926814Z   copying exir/dialects/edge/test/test_edge_yaml.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/test
2024-05-15T23:45:08.2928337Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op/test
2024-05-15T23:45:08.2929926Z   copying exir/dialects/edge/op/test/test_api.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op/test
2024-05-15T23:45:08.2931222Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit/test
2024-05-15T23:45:08.2932406Z   copying exir/emit/test/test_emit.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit/test
2024-05-15T23:45:08.2933578Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator/test
2024-05-15T23:45:08.2934793Z   copying exir/operator/test/test_operator.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator/test
2024-05-15T23:45:08.2935985Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/test
2024-05-15T23:45:08.2937213Z   copying exir/program/test/test_fake_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/test
2024-05-15T23:45:08.2938739Z   copying exir/program/test/test_program.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/test
2024-05-15T23:45:08.2939925Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification/test
2024-05-15T23:45:08.2941253Z   copying exir/verification/test/test_verifier.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification/test
2024-05-15T23:45:08.2942441Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/extension
2024-05-15T23:45:08.2943450Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util
2024-05-15T23:45:08.2944691Z   copying extension/gguf_util/convert_main.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util
2024-05-15T23:45:08.2946119Z   copying extension/gguf_util/converter.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util
2024-05-15T23:45:08.2947523Z   copying extension/gguf_util/load_gguf.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util
2024-05-15T23:45:08.2948763Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings
2024-05-15T23:45:08.2950018Z   copying extension/pybindings/portable_lib.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings
2024-05-15T23:45:08.2951237Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pytree
2024-05-15T23:45:08.2952392Z   copying extension/pytree/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pytree
2024-05-15T23:45:08.2953607Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util/converters
2024-05-15T23:45:08.2955193Z   copying extension/gguf_util/converters/llama_converter.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util/converters
2024-05-15T23:45:08.2956558Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings/test
2024-05-15T23:45:08.2958267Z   copying extension/pybindings/test/make_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings/test
2024-05-15T23:45:08.2959899Z   copying extension/pybindings/test/test_pybindings.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings/test
2024-05-15T23:45:08.2961531Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pytree/test
2024-05-15T23:45:08.2962616Z   copying extension/pytree/test/test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pytree/test
2024-05-15T23:45:08.2963571Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk
2024-05-15T23:45:08.2964343Z   copying sdk/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk
2024-05-15T23:45:08.2965337Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program
2024-05-15T23:45:08.2966375Z   copying sdk/bundled_program/config.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program
2024-05-15T23:45:08.2967616Z   copying sdk/bundled_program/core.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program
2024-05-15T23:45:08.2968791Z   copying sdk/bundled_program/version.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program
2024-05-15T23:45:08.2969790Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/debug_format
2024-05-15T23:45:08.2970801Z   copying sdk/debug_format/base_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/debug_format
2024-05-15T23:45:08.2971962Z   copying sdk/debug_format/et_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/debug_format
2024-05-15T23:45:08.2972894Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump
2024-05-15T23:45:08.2973883Z   copying sdk/etdump/schema_flatcc.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump
2024-05-15T23:45:08.2974931Z   copying sdk/etdump/serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump
2024-05-15T23:45:08.2975891Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord
2024-05-15T23:45:08.2976813Z   copying sdk/etrecord/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord
2024-05-15T23:45:08.2977858Z   copying sdk/etrecord/_etrecord.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord
2024-05-15T23:45:08.2978799Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector
2024-05-15T23:45:08.2979744Z   copying sdk/inspector/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector
2024-05-15T23:45:08.2980820Z   copying sdk/inspector/_inspector.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector
2024-05-15T23:45:08.2981948Z   copying sdk/inspector/_inspector_utils.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector
2024-05-15T23:45:08.2983097Z   copying sdk/inspector/inspector_cli.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector
2024-05-15T23:45:08.2984108Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/size_analysis_tool
2024-05-15T23:45:08.2985243Z   copying sdk/size_analysis_tool/size_analysis_tool.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/size_analysis_tool
2024-05-15T23:45:08.2986609Z   copying sdk/size_analysis_tool/size_analysis_tool_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/size_analysis_tool
2024-05-15T23:45:08.2987749Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.2988898Z   copying sdk/bundled_program/schema/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.2990322Z   copying sdk/bundled_program/schema/bundled_program_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.2991541Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.2992731Z   copying sdk/bundled_program/serialize/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.2993874Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.2995037Z   copying sdk/bundled_program/test/test_bundle_data.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.2996448Z   copying sdk/bundled_program/test/test_config.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.2997866Z   copying sdk/bundled_program/test/test_end2end.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.2998984Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/util
2024-05-15T23:45:08.3000196Z   copying sdk/bundled_program/util/test_util.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/util
2024-05-15T23:45:08.3001697Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema/test
2024-05-15T23:45:08.3003080Z   copying sdk/bundled_program/schema/test/test_schema.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema/test
2024-05-15T23:45:08.3004449Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize/test
2024-05-15T23:45:08.3005850Z   copying sdk/bundled_program/serialize/test/test_serialize.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize/test
2024-05-15T23:45:08.3007032Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump/tests
2024-05-15T23:45:08.3008074Z   copying sdk/etdump/tests/serialize_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump/tests
2024-05-15T23:45:08.3009109Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord/tests
2024-05-15T23:45:08.3010169Z   copying sdk/etrecord/tests/etrecord_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord/tests
2024-05-15T23:45:08.3011206Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/tests
2024-05-15T23:45:08.3012318Z   copying sdk/inspector/tests/event_blocks_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/tests
2024-05-15T23:45:08.3013624Z   copying sdk/inspector/tests/inspector_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/tests
2024-05-15T23:45:08.3014946Z   copying sdk/inspector/tests/inspector_utils_test.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/tests
2024-05-15T23:45:08.3016000Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/util
2024-05-15T23:45:08.3016886Z   copying util/activation_memory_profiler.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/util
2024-05-15T23:45:08.3017890Z   copying util/python_profiler.py -> pip-out/lib.linux-x86_64-cpython-311/executorch/util
2024-05-15T23:45:08.3018671Z   creating pip-out/lib.linux-x86_64-cpython-311/serializer
2024-05-15T23:45:08.3019719Z   copying backends/arm/third-party/serialization_lib/python/serializer/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/serializer
2024-05-15T23:45:08.3021200Z   copying backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py -> pip-out/lib.linux-x86_64-cpython-311/serializer
2024-05-15T23:45:08.3022221Z   creating pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3023351Z   copying backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3024827Z   copying backends/arm/third-party/serialization_lib/python/tosa/Attribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3026210Z   copying backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3027615Z   copying backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3029044Z   copying backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3030458Z   copying backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3031860Z   copying backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3033221Z   copying backends/arm/third-party/serialization_lib/python/tosa/DType.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3034569Z   copying backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3036132Z   copying backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3037701Z   copying backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3039161Z   copying backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3040562Z   copying backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3042135Z   copying backends/arm/third-party/serialization_lib/python/tosa/Op.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3043461Z   copying backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3044859Z   copying backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3046279Z   copying backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3047704Z   copying backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3049138Z   copying backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3050572Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3051965Z   copying backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3053354Z   copying backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3054888Z   copying backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3056480Z   copying backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3058102Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3059687Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3061260Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3062851Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3064415Z   copying backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.3065235Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.5961956Z   copying backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.5964037Z   copying backends/arm/third-party/serialization_lib/python/tosa/Version.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.5965533Z   copying backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.5966941Z   copying backends/arm/third-party/serialization_lib/python/tosa/__init__.py -> pip-out/lib.linux-x86_64-cpython-311/tosa
2024-05-15T23:45:08.5967751Z   running egg_info
2024-05-15T23:45:08.5968107Z   creating executorch.egg-info
2024-05-15T23:45:08.5968551Z   writing executorch.egg-info/PKG-INFO
2024-05-15T23:45:08.5969405Z   writing dependency_links to executorch.egg-info/dependency_links.txt
2024-05-15T23:45:08.5970133Z   writing entry points to executorch.egg-info/entry_points.txt
2024-05-15T23:45:08.5970806Z   writing requirements to executorch.egg-info/requires.txt
2024-05-15T23:45:08.5971478Z   writing top-level names to executorch.egg-info/top_level.txt
2024-05-15T23:45:08.5972262Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2024-05-15T23:45:08.5972906Z   reading manifest file 'executorch.egg-info/SOURCES.txt'
2024-05-15T23:45:08.5973444Z   adding license file 'LICENSE'
2024-05-15T23:45:08.5973966Z   writing manifest file 'executorch.egg-info/SOURCES.txt'
2024-05-15T23:45:08.5975095Z   copying backends/apple/mps/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.5976496Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/schema
2024-05-15T23:45:08.5978082Z   copying backends/arm/third-party/serialization_lib/schema/tosa.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/schema
2024-05-15T23:45:08.5979676Z   copying backends/cadence/aot/functions.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot
2024-05-15T23:45:08.5981096Z   copying backends/qualcomm/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.5982284Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/aot
2024-05-15T23:45:08.5983192Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/aot/ir
2024-05-15T23:45:08.5984323Z   copying backends/qualcomm/aot/ir/qcir.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/aot/ir
2024-05-15T23:45:08.5985727Z   copying backends/vulkan/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.5986955Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph
2024-05-15T23:45:08.5987977Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops
2024-05-15T23:45:08.5989041Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.5990499Z   copying backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.5992247Z   copying backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.5993973Z   copying backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.5995710Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.5997611Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.5999430Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6001418Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6003291Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6005084Z   copying backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6006965Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6008848Z   copying backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6010921Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6012716Z   copying backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6014435Z   copying backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6016164Z   copying backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6017938Z   copying backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6019732Z   copying backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6021503Z   copying backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6023276Z   copying backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6025049Z   copying backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6026777Z   copying backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6028483Z   copying backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6030251Z   copying backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6032037Z   copying backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6033838Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6035644Z   copying backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6037680Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6039810Z   copying backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6041912Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6043930Z   copying backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6045936Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_batch_height_width.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6048068Z   copying backends/vulkan/runtime/graph/ops/glsl/slice_channel.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6050121Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax_batch_height_width.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6052203Z   copying backends/vulkan/runtime/graph/ops/glsl/softmax_channel.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6054072Z   copying backends/vulkan/runtime/graph/ops/glsl/sum_dim.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6055942Z   copying backends/vulkan/runtime/graph/ops/glsl/sum_dim_keepdim.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6057838Z   copying backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6059774Z   copying backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.6061153Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/glsl
2024-05-15T23:45:08.6062400Z   copying backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/glsl
2024-05-15T23:45:08.6064023Z   copying backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.6065648Z   copying backends/xnnpack/serialization/schema.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.6067368Z   copying backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16
2024-05-15T23:45:08.6069054Z   copying backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv
2024-05-15T23:45:08.6070774Z   copying backends/xnnpack/third-party/cpuinfo/confu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo
2024-05-15T23:45:08.6072554Z   copying backends/xnnpack/third-party/pthreadpool/confu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/pthreadpool
2024-05-15T23:45:08.6074079Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/eval
2024-05-15T23:45:08.6075665Z   copying backends/xnnpack/third-party/XNNPACK/eval/f16-tanh.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/eval
2024-05-15T23:45:08.6077628Z   copying backends/xnnpack/third-party/XNNPACK/eval/f32-tanh.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/eval
2024-05-15T23:45:08.6079231Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6081016Z   copying backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6083003Z   copying backends/xnnpack/third-party/XNNPACK/test/cs16-bfly4.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6084897Z   copying backends/xnnpack/third-party/XNNPACK/test/cs16-fftr.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6086928Z   copying backends/xnnpack/third-party/XNNPACK/test/cs16-vsquareabs.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6088932Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-avgpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6091094Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6093335Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-multipass.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6095617Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-unipass.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6097675Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6099719Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6101792Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6103851Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6105888Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6107867Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-cw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6109873Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6111939Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gemm-jit.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6113927Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6116091Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6118382Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6120321Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-igemm-jit.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6122349Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6124253Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-maxpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6126163Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-pavgpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6128019Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-prelu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6129833Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-qs8-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6131888Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6133753Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6135604Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6137403Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6139289Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6141274Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6143381Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vabs.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6145441Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vadd-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6147326Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6149174Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vclamp.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6151107Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vcmul.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6152935Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vdiv-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6154804Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vdivc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6156681Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-velu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6158596Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vhswish.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6160397Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vlrelu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6162311Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6164100Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmaxc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6165900Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmin.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6167683Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vminc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6169492Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmul-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6171356Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmulc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6173364Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6175282Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vneg.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6177111Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vrdivc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6178942Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vrndd.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6180733Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vrndne.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6182529Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vrndu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6184302Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vrndz.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6186141Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vrsubc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6187990Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vsigmoid.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6189794Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vsqr.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6191601Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiff.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6193417Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiffc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6195227Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vsqrt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6197048Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vsub-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6199991Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vsubc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6201982Z   copying backends/xnnpack/third-party/XNNPACK/test/f16-vtanh.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6204277Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6206332Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-avgpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6208203Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6210059Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6212020Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-multipass.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6214146Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-unipass.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6216228Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-multipass.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6218137Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-unipass.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6220039Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6221903Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-f16-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6223768Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-cw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6225669Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6227578Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6229455Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-jit.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6231318Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6233190Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6235004Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6236862Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6238880Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6240740Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6242693Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-jit.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6244570Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6246618Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6248444Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6250292Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-maxpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6252210Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-pavgpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6254241Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6256146Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-prelu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6258009Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6259926Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6261837Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6263708Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6265541Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qs8-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6267358Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-qu8-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6269218Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6271083Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6273000Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6274861Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6276637Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6278523Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6280307Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6282256Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6284069Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vabs.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6285922Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vadd-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6287803Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vadd-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6289616Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vadd.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6291430Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6293679Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6296027Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vaddc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6297831Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vclamp.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6299605Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vcmul.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6301418Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6303263Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6305052Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vdiv.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6306865Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6308714Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6310518Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vdivc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6312289Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-velu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6314075Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vhswish.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6315912Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vlrelu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6317794Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6319566Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmaxc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6321450Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmin.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6323212Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vminc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6325036Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmul-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6326923Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmul-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6328717Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmul.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6330523Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6332472Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6334278Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6336195Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6338027Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vneg.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6339849Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6341703Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6343523Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6345304Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrelu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6347131Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrndd.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6348936Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrndne.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6350713Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrndu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6352483Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrndz.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6354258Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrsqrt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6356091Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6358021Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6359837Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6361787Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6363674Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6365514Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsigmoid.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6367303Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsqr.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6369455Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiff.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6371571Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiffc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6373506Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsqrt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6375447Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsub-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6377306Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsub-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6379101Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsub.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6380920Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6382789Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-relu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6384616Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vsubc.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6386388Z   copying backends/xnnpack/third-party/XNNPACK/test/f32-vtanh.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6388186Z   copying backends/xnnpack/third-party/XNNPACK/test/i16-vlshift.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6390083Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6392057Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6394038Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6396020Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6398056Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6400039Z   copying backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6402060Z   copying backends/xnnpack/third-party/XNNPACK/test/qs16-qs8-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6404012Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6406105Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6408179Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6410231Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6412271Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-f16-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6414091Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-f32-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6416112Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6418092Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6420152Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-multipass-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6422290Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-unipass-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6424324Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-jit-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6426295Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6428265Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-jit-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6430236Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6432169Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vadd-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6434034Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6435878Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6437749Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vhswish.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6439550Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vlrelu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6441507Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vmul-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6443472Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vmul-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6445397Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vmulc-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6447329Z   copying backends/xnnpack/third-party/XNNPACK/test/qs8-vmulc-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6449270Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-avgpool-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6451277Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-multipass-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6453455Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-multipass-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6455573Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6457624Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6459554Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-f32-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6461440Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6463411Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6465351Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6467270Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-gemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6469198Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6471130Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-igemm-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6473015Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vadd-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6474879Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vaddc-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6476691Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vcvt.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6478531Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vhswish.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6480315Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vlrelu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6482271Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6484420Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6486359Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-fp32.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6488286Z   copying backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-rndnu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6490162Z   copying backends/xnnpack/third-party/XNNPACK/test/s16-rmaxabs.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6492060Z   copying backends/xnnpack/third-party/XNNPACK/test/s16-window.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6493928Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6496067Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-maxpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6498171Z   copying backends/xnnpack/third-party/XNNPACK/test/s8-vclamp.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6500346Z   copying backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-accumulate.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6502625Z   copying backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-subtract.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6504767Z   copying backends/xnnpack/third-party/XNNPACK/test/u32-vlog.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6506931Z   copying backends/xnnpack/third-party/XNNPACK/test/u64-u32-vsqrtshift.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6509059Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6511136Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6513265Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-maxpool-minmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6515357Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6517549Z   copying backends/xnnpack/third-party/XNNPACK/test/u8-vclamp.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6519323Z   copying backends/xnnpack/third-party/XNNPACK/test/x16-packw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6521229Z   copying backends/xnnpack/third-party/XNNPACK/test/x16-transpose.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6523046Z   copying backends/xnnpack/third-party/XNNPACK/test/x24-transpose.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6524850Z   copying backends/xnnpack/third-party/XNNPACK/test/x32-packb.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6526672Z   copying backends/xnnpack/third-party/XNNPACK/test/x32-packw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6528439Z   copying backends/xnnpack/third-party/XNNPACK/test/x32-packx.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6530219Z   copying backends/xnnpack/third-party/XNNPACK/test/x32-transpose.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6532013Z   copying backends/xnnpack/third-party/XNNPACK/test/x32-zerob.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6533893Z   copying backends/xnnpack/third-party/XNNPACK/test/x64-transpose.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6535668Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.6537501Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-packw.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.7297589Z   copying backends/xnnpack/third-party/XNNPACK/test/x8-transpose.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.7299694Z   copying backends/xnnpack/third-party/XNNPACK/test/xx-fill.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.7301619Z   copying backends/xnnpack/third-party/XNNPACK/test/xx-pad.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.7303608Z   copying backends/xnnpack/third-party/XNNPACK/test/xx-transposev.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.7305301Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src
2024-05-15T23:45:08.7306572Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src/enums
2024-05-15T23:45:08.7308400Z   copying backends/xnnpack/third-party/XNNPACK/src/enums/microkernel-type.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src/enums
2024-05-15T23:45:08.7310548Z   copying backends/xnnpack/third-party/XNNPACK/src/enums/node-type.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src/enums
2024-05-15T23:45:08.7312705Z   copying backends/xnnpack/third-party/XNNPACK/src/enums/operator-type.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src/enums
2024-05-15T23:45:08.7314792Z   copying backends/xnnpack/third-party/cpuinfo/deps/clog/confu.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/cpuinfo/deps/clog
2024-05-15T23:45:08.7316449Z   copying exir/dialects/edge/edge.yaml -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge
2024-05-15T23:45:08.7317618Z   creating pip-out/lib.linux-x86_64-cpython-311/executorch/schema
2024-05-15T23:45:08.7318534Z   copying schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/schema
2024-05-15T23:45:08.7319559Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/schema
2024-05-15T23:45:08.7320749Z   copying sdk/etdump/etdump_schema_flatcc.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump
2024-05-15T23:45:08.7322167Z   copying sdk/etdump/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump
2024-05-15T23:45:08.7323599Z   copying sdk/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.7325171Z   copying sdk/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.7326532Z   copying schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.7327710Z   copying schema/program.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize
2024-05-15T23:45:08.7329146Z   copying sdk/bundled_program/schema/bundled_program_schema.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.7330751Z   copying sdk/bundled_program/schema/scalar_type.fbs -> pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.7331722Z   running build_ext
2024-05-15T23:45:08.7333913Z   copying /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/examples/models/llama2/custom_ops/libcustom_ops_aot_lib.so -> /pytorch/torchchat/et-build/src/executorch/pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.7337224Z   copying /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/third-party/flatbuffers/flatc -> /pytorch/torchchat/et-build/src/executorch/pip-out/lib.linux-x86_64-cpython-311/executorch/data/bin
2024-05-15T23:45:08.7339958Z   copying /pytorch/torchchat/et-build/src/executorch/pip-out/temp.linux-x86_64-cpython-311/cmake-out/_portable_lib.cpython-311-x86_64-linux-gnu.so -> pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings
2024-05-15T23:45:08.7341511Z   installing to pip-out/bdist.linux-x86_64/wheel
2024-05-15T23:45:08.7341969Z   running install
2024-05-15T23:45:08.7342318Z   running install_lib
2024-05-15T23:45:08.7342727Z   creating pip-out/bdist.linux-x86_64
2024-05-15T23:45:08.7343260Z   creating pip-out/bdist.linux-x86_64/wheel
2024-05-15T23:45:08.7343882Z   creating pip-out/bdist.linux-x86_64/wheel/executorch
2024-05-15T23:45:08.7344570Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data
2024-05-15T23:45:08.7345332Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/data/bin
2024-05-15T23:45:08.7346547Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/data/bin/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/data/bin
2024-05-15T23:45:08.7348150Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/data/bin/flatc -> pip-out/bdist.linux-x86_64/wheel/executorch/data/bin
2024-05-15T23:45:08.7349283Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends
2024-05-15T23:45:08.7350063Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7351390Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/arm_backend.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7353154Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/arm_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7354965Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/arm_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7356784Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/arm_quantizer_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7358677Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/arm_vela.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7360436Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/tosa_mapping.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7362399Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/tosa_quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7364155Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/tosa_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm
2024-05-15T23:45:08.7365497Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7367341Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7369453Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7371496Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7373444Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_addmm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7375645Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7377851Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7379924Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7381879Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7383916Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7385933Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_dequant.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7387965Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7389901Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_get_item.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7391935Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7393984Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7395940Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7398103Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_placeholder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7400102Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_quant.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7402317Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7404261Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/operators/op_view.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/operators
2024-05-15T23:45:08.7405648Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2024-05-15T23:45:08.7407028Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2024-05-15T23:45:08.7408871Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/test_models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2024-05-15T23:45:08.7410708Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/test_tosa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2024-05-15T23:45:08.7412654Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/arm_tosa_reference.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test
2024-05-15T23:45:08.7414051Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc
2024-05-15T23:45:08.7415576Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/misc/test_debug_feats.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/misc
2024-05-15T23:45:08.7417193Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models
2024-05-15T23:45:08.7418765Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/models/test_mobilenet_v2_arm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/models
2024-05-15T23:45:08.7420457Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7422130Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7424192Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_avg_pool.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7426379Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7428373Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7430472Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_conv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7432596Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_conv_combos.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7434727Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_depthwise_conv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7436776Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7438799Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7440727Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7442792Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/ops/test_view.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/ops
2024-05-15T23:45:08.7444188Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester
2024-05-15T23:45:08.7445638Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tester/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester
2024-05-15T23:45:08.7447766Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tester/arm_tester.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tester
2024-05-15T23:45:08.7449302Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil
2024-05-15T23:45:08.7450756Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tosautil/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil
2024-05-15T23:45:08.7453010Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/test/tosautil/tosa_test_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/test/tosautil
2024-05-15T23:45:08.7454556Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party
2024-05-15T23:45:08.7455721Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib
2024-05-15T23:45:08.7457570Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/arm/third-party/serialization_lib/setup.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib
2024-05-15T23:45:08.7459639Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python
2024-05-15T23:45:08.7460959Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/serializer
2024-05-15T23:45:08.7463292Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7466215Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7468397Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/python/tosa
2024-05-15T23:45:08.7470574Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7473525Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7476405Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7479289Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7482641Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7485502Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7488330Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7491203Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7493942Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7496826Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7499865Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7502699Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7505714Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7508607Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7511369Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7514190Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7517090Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7520164Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7523245Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7526122Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7528938Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7531771Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7534639Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7537439Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7540284Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7543112Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7545876Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7548665Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7551617Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7554589Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7557656Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7560512Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7563449Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7566256Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7568219Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test
2024-05-15T23:45:08.7569511Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts
2024-05-15T23:45:08.7571640Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7573779Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit
2024-05-15T23:45:08.7575997Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7578382Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/arm/third-party/serialization_lib/schema
2024-05-15T23:45:08.7580668Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7582362Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example
2024-05-15T23:45:08.7583884Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_backend.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example
2024-05-15T23:45:08.7585755Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example
2024-05-15T23:45:08.7587668Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example
2024-05-15T23:45:08.7589521Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/test_example_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example
2024-05-15T23:45:08.7591113Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_backend_delegate_passes
2024-05-15T23:45:08.7593203Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7596046Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7598033Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7599937Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/adaptive_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7602262Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7604583Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7606955Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/conv_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7609168Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/dropout.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7611473Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/flatten.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7613746Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7616061Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/op_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7618216Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7620589Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/example/example_operators/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/example/example_operators
2024-05-15T23:45:08.7622103Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm
2024-05-15T23:45:08.7623518Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/qnn_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm
2024-05-15T23:45:08.7624913Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7626447Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7628480Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7630529Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7632537Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_avg_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7634562Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_batch_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7636791Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_bmm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7638859Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_cast.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7641120Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7643239Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_ceil.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7645248Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7647322Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7649392Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_depth_to_space.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7651436Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_dequantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7653506Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7655964Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_embedding.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7658029Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_expand.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7660106Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_gelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7662213Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7664266Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7666351Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_layer_norm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7668406Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7670453Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_log_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7672527Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_matmul.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7673559Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7674619Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7675747Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_mul.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7676869Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_pad.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7678047Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_pow.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7679110Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_quantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7680047Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7681224Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_reshape.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7682211Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_rsqrt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7683262Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_select_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7684309Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7685292Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7686320Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7687381Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7688326Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_sqrt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7689393Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7690416Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7691394Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_sum_int_list.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7692411Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_tanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7693469Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_transpose.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7694425Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_unsqueeze.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7695523Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7696586Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/qnn_constants.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7697635Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/builders/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/builders
2024-05-15T23:45:08.7698156Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition
2024-05-15T23:45:08.7699463Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/partition/common_defs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition
2024-05-15T23:45:08.7700490Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/partition/qnn_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/partition
2024-05-15T23:45:08.7700936Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7701998Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/annotate_and_quant_scalar.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7703082Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/annotate_decomposed.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7704153Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/annotate_quant_attrs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7705200Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/convert_binary_op_with_scalar.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7706280Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/convert_bmm_to_matmul.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7707352Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/convert_hardsigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7708321Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/convert_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7709481Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/convert_interpolate_with_upsample2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7710537Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7711679Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/decompose_scaled_dot_product_attention.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7712678Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/decompose_silu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7713700Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/fold_qdq.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7714657Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/i64_to_i32.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7715667Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/insert_io_qdq.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7716787Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/insert_requantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7717849Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/layout_transform.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7719040Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/recompose_pixel_shuffle.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7720196Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/reduce_dynamic_range.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7721367Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/remove_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7722468Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/replace_inf_buffer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7723592Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/passes/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/passes
2024-05-15T23:45:08.7724109Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer
2024-05-15T23:45:08.7725272Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/quantizer/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer
2024-05-15T23:45:08.7726528Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/quantizer/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/quantizer
2024-05-15T23:45:08.7727109Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.7728331Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/serialization/qnn_compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.7729522Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/serialization/qnn_compile_spec_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.7730638Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/serialization
2024-05-15T23:45:08.7731045Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.7732036Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.7732995Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/tests/test_qnn_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.7733968Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/tests/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/tests
2024-05-15T23:45:08.7734359Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils
2024-05-15T23:45:08.7735345Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/utils/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/utils
2024-05-15T23:45:08.7735817Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot
2024-05-15T23:45:08.7736291Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir
2024-05-15T23:45:08.7737240Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/qualcomm/aot/ir/qcir.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/qualcomm/aot/ir
2024-05-15T23:45:08.7737681Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms
2024-05-15T23:45:08.7738524Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/transforms/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms
2024-05-15T23:45:08.7739725Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/transforms/duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms
2024-05-15T23:45:08.7740836Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/transforms/addmm_mm_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms
2024-05-15T23:45:08.7741246Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test
2024-05-15T23:45:08.7742388Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/transforms/test
2024-05-15T23:45:08.7742751Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan
2024-05-15T23:45:08.7743632Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan
2024-05-15T23:45:08.7744597Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/vulkan_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan
2024-05-15T23:45:08.7745026Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner
2024-05-15T23:45:08.7746154Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/partitioner/vulkan_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/partitioner
2024-05-15T23:45:08.7746594Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.7747734Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization/vulkan_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.7748886Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization/vulkan_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.7749989Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization/vulkan_graph_builder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.7751031Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/serialization
2024-05-15T23:45:08.7751502Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test
2024-05-15T23:45:08.7752441Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/test_serialization.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test
2024-05-15T23:45:08.7753492Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/test_vulkan_delegate_header.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test
2024-05-15T23:45:08.7754538Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/test_vulkan_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test
2024-05-15T23:45:08.7754967Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests
2024-05-15T23:45:08.7756089Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests/generate_op_tests.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests
2024-05-15T23:45:08.7757121Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests/cases.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests
2024-05-15T23:45:08.7757695Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils
2024-05-15T23:45:08.7758871Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/codegen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils
2024-05-15T23:45:08.7760153Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/op_tests/utils/codegen_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/op_tests/utils
2024-05-15T23:45:08.7760570Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/glsl
2024-05-15T23:45:08.7761890Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/test/glsl/all_shaders.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/test/glsl
2024-05-15T23:45:08.7762304Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime
2024-05-15T23:45:08.7762725Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/api
2024-05-15T23:45:08.7763817Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/api/gen_vulkan_spv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/api
2024-05-15T23:45:08.7764265Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph
2024-05-15T23:45:08.7764710Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops
2024-05-15T23:45:08.7765248Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7766454Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7767666Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7768890Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7770044Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7771509Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7772806Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7774260Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7775478Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7776603Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7777768Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7778998Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7780163Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7781425Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7782575Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7783716Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7784850Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7786011Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7787141Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7788294Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7799634Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7801012Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7802453Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7803626Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7804779Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7805941Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7807100Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7808263Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7809413Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7810557Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7811704Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7813049Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_batch_height_width.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7814254Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/slice_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7815462Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_batch_height_width.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7816608Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_channel.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7817718Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7818868Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim_keepdim.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7819977Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7821069Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/runtime/graph/ops/glsl
2024-05-15T23:45:08.7821482Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party
2024-05-15T23:45:08.7821925Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/volk
2024-05-15T23:45:08.7822943Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/vulkan/third-party/volk/generate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/volk
2024-05-15T23:45:08.7823456Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers
2024-05-15T23:45:08.7824022Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry
2024-05-15T23:45:08.7825291Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7826578Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7827839Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7829080Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7830303Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7831496Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7832816Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7833501Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools
2024-05-15T23:45:08.7834832Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7835385Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator
2024-05-15T23:45:08.7835973Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools
2024-05-15T23:45:08.7838989Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis
2024-05-15T23:45:08.7840494Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7841047Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack
2024-05-15T23:45:08.7841856Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack
2024-05-15T23:45:08.7842724Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/xnnpack_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack
2024-05-15T23:45:08.7843128Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7844078Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7845034Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7845964Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_abs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7846882Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7847809Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_addmm.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7848764Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_cat.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7849703Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_ceiling.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7850637Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_clamp.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7851567Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7852578Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_dequantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7853561Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7854581Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7855695Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7856616Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_elu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7857551Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_floor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7858504Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_hardswish.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7859512Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7860467Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7861395Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7862408Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_matrix_multiplication.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7863352Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_max_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7864439Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_maximum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7865654Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_minimum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7866608Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_multiply.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7867536Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_negate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7868460Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_permute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7869392Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_prelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7870380Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_quantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7871299Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7872214Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7873143Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7874157Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_skip_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7875151Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7876089Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7877017Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_square.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7878061Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_square_root.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7879035Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_squeeze.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7880032Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7881170Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7882086Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_sub.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7883022Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_to_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7883979Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/quant_params.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7884946Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_avg_pooling2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7885900Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_max_pool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7886837Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/operators/op_mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/operators
2024-05-15T23:45:08.7887243Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition
2024-05-15T23:45:08.7888178Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition/configs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition
2024-05-15T23:45:08.7889174Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition/xnnpack_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition
2024-05-15T23:45:08.7889621Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs
2024-05-15T23:45:08.7890662Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition/graphs/bilinear_2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs
2024-05-15T23:45:08.7891676Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/partition/graphs/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/partition/graphs
2024-05-15T23:45:08.7892129Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7893008Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7894090Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7895080Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/conv1d_unsqueeze_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7896016Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7896948Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/convert_to_sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7898006Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7898964Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/fuse_activation_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7899941Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/fuse_batch_norm_with_conv.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7900883Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/prelu_reshape_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7901818Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/remove_getitem_op.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7902789Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7903708Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/passes/xnnpack_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/passes
2024-05-15T23:45:08.7904137Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.7905172Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.7906229Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.7907243Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization/runtime_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.7908223Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/serialization
2024-05-15T23:45:08.7908604Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test
2024-05-15T23:45:08.7909518Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/test_xnnpack_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test
2024-05-15T23:45:08.7910474Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test
2024-05-15T23:45:08.7910917Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7911892Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/deeplab_v3.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7912889Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/edsr.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7913880Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/emformer_rnnt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7914867Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/inception_v3.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7915852Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/inception_v4.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7916891Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/llama2_et_example.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7917971Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/mobilebert.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7920280Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/mobilenet_v2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7921362Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/mobilenet_v3.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7922316Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/resnet.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7923334Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/torchvision_vit.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7924324Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/very_big_model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7925454Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/models/w2l.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/models
2024-05-15T23:45:08.7925881Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7926910Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/abs.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7927972Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/add.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7928952Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/avgpool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7930022Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/bilinear2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7931054Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/cat.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7931985Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/ceil.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7933053Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/clamp.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7934197Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/conv1d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7935355Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/conv2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7936403Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/div.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7937323Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/elu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7938533Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/floor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7939991Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/hardswish.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7941290Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/hardtanh.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7942396Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/leaky_relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7943544Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/max_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7944555Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/maximum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7945598Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/mean_dim.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7946650Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/minimum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7947811Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/multiply.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7948766Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/negate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7949830Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/permute.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7950869Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/pow.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7951928Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/prelu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7953006Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/quantize_per_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7954006Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/relu.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7955045Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7956208Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/sigmoid.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7957230Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/slice_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7958445Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/softmax.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7959510Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/sqrt.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7960567Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/square.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7961859Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/static_constant_pad.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7963016Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/sub.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7964074Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7965169Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/ops/maxpool2d.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/ops
2024-05-15T23:45:08.7965605Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
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2024-05-15T23:45:08.7968000Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.7969210Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.7970316Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes/test_convert_to_linear.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.7971487Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.7972683Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/passes
2024-05-15T23:45:08.7973169Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization
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2024-05-15T23:45:08.7975644Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/serialization/test_xnnheader.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/serialization
2024-05-15T23:45:08.7976077Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/tester
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2024-05-15T23:45:08.7978380Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/test/tester/tester.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/test/tester
2024-05-15T23:45:08.7978817Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party
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2024-05-15T23:45:08.7981356Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/generate-xnnpack-wrappers.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party
2024-05-15T23:45:08.7981859Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16
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2024-05-15T23:45:08.7983699Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/include
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2024-05-15T23:45:08.7986906Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7988205Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7988721Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16/test
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2024-05-15T23:45:08.7990678Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.7991747Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FP16/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FP16
2024-05-15T23:45:08.7992328Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FXdiv
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2024-05-15T23:45:08.7994595Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/FXdiv/confu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/FXdiv
2024-05-15T23:45:08.7995190Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo
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2024-05-15T23:45:08.7999200Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/cpuinfo/scripts
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2024-05-15T23:45:08.8002698Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8004136Z   copying pip-out/lib.linux-x86_64-cpython-311/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
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2024-05-15T23:45:08.8007546Z   copying pip-out/lib.linux-x86_64-cpython-311/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
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2024-05-15T23:45:08.8011812Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK
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2024-05-15T23:45:08.8013593Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts/convert-assembly-to-jit.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts
2024-05-15T23:45:08.8014786Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/scripts
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2024-05-15T23:45:08.8017829Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/dump-jit-output.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8019074Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8020290Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-avgpool-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8021493Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-bfly4-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8022787Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8024093Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8025379Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8026640Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8027896Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8029110Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-enum.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8030316Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-fftr-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8031508Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-fill-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8032815Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-filterbank-accumulate-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8034129Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-filterbank-subtract-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8035381Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gavgpool-cw-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8036651Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-gavgpool-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8037964Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8039235Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8040460Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8041963Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8043780Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8045202Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-maxpool-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8046635Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-pack-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8047944Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-packb-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8058049Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-packw-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8059709Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-pad-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8061123Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-prelu-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8062643Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8063976Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8065558Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8066868Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8068313Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-rmaxabs-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8069554Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8070950Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-tanh-eval.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8072288Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-transpose-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8073687Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8074996Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vcvt-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8076329Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vhswish-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8077957Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vlog-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8079269Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vlrelu-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8080584Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vlshift-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8082200Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8083713Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8085066Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8086452Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vsquareabs-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8087787Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-vunary-benchmark.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8089098Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8090413Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/generate-window-test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8091611Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/primes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8092872Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/update-microkernels.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8094088Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/xngen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8095327Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/tools/xnncommon.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/tools
2024-05-15T23:45:08.8095898Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/eval
2024-05-15T23:45:08.8097078Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/eval/f16-tanh.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/eval
2024-05-15T23:45:08.8098317Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/eval/f32-tanh.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/eval
2024-05-15T23:45:08.8099014Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8100410Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8101634Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-bfly4.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8102846Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-fftr.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8104113Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-vsquareabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8105455Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-avgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8106748Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8108101Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-multipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8109446Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-unipass.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8116045Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8117462Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8118690Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8119921Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8121258Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8122436Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-cw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8123636Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8124796Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-jit.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8126116Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8127386Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8128556Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8129706Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-jit.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8130891Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8132137Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-maxpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8133340Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-pavgpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8134486Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-prelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8135691Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-qs8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8136934Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8138070Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8139204Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8140348Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8141480Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8142663Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8143789Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8144972Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vadd-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8146149Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8147334Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vclamp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8148518Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vcmul.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8149698Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdiv-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8150875Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdivc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8152036Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-velu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8153191Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vhswish.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8154327Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vlrelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8155456Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8156595Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmaxc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8157808Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmin.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8158943Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vminc.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8160115Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmul-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8161396Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8162612Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8174853Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vneg.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8176313Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrdivc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
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2024-05-15T23:45:08.8254059Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
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2024-05-15T23:45:08.8313411Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
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2024-05-15T23:45:08.8383291Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8384590Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-dwconv-minmax-unipass-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8385765Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-f32-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8387012Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8388261Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-gavgpool-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8389490Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8390729Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8391955Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8393195Z   copying pip-out/lib.linux-x86_64-cpython-311/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
2024-05-15T23:45:08.8394377Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vadd-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8395666Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vaddc-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8410646Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vcvt.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8411941Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vhswish.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8413085Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vlrelu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8414352Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8415573Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmul-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8416794Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-fp32.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8418011Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/qu8-vmulc-minmax-rndnu.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8419154Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/s16-rmaxabs.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8420300Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/s16-window.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8421449Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8422637Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-maxpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8423768Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/s8-vclamp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8425013Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-accumulate.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8426284Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u32-filterbank-subtract.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8427409Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u32-vlog.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8428602Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u64-u32-vsqrtshift.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8429801Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-ibilinear.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8430992Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-lut32norm.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8432176Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-maxpool-minmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8433296Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-rmax.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8434450Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/u8-vclamp.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8435591Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x16-packw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8436744Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x16-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8437978Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x24-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8439116Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packb.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8440253Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8441625Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-packx.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8442778Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8443908Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x32-zerob.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8445062Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x64-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8446177Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-lut.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8447309Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-packw.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8448449Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/x8-transpose.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8449803Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/xx-fill.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8451048Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/xx-pad.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8452218Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/test/xx-transposev.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/test
2024-05-15T23:45:08.8452710Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src
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2024-05-15T23:45:08.8454495Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src/enums/microkernel-type.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src/enums
2024-05-15T23:45:08.8455742Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src/enums/node-type.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src/enums
2024-05-15T23:45:08.8456975Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/third-party/XNNPACK/src/enums/operator-type.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/third-party/XNNPACK/src/enums
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2024-05-15T23:45:08.8492427Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/utils/quant_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils
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2024-05-15T23:45:08.8494498Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/xnnpack/utils/xnnpack_constants.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/xnnpack/utils
2024-05-15T23:45:08.8494922Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple
2024-05-15T23:45:08.8495384Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps
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2024-05-15T23:45:08.8496865Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
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2024-05-15T23:45:08.8499129Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/activation_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8500255Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8501499Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/clamp_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8502609Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/constant_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8503869Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/convolution_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8505117Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/linear_algebra_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8506210Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/normalization_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8507414Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/op_clone.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8508424Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/op_getitem.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8509608Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/pad_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8510723Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/pooling_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8511903Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/range_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8513012Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/reduce_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8514134Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/shape_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8515224Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8516268Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8517500Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/operators/node_visitor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/operators
2024-05-15T23:45:08.8518038Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition
2024-05-15T23:45:08.8519157Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/partition/mps_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/partition
2024-05-15T23:45:08.8519714Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.8521100Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/serialization/mps_graph_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.8522345Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/serialization/mps_graph_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.8523517Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/serialization/schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/serialization
2024-05-15T23:45:08.8523931Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2024-05-15T23:45:08.8524984Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test/test_mps.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2024-05-15T23:45:08.8526194Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test/test_mps_binary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2024-05-15T23:45:08.8527414Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test/test_mps_models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2024-05-15T23:45:08.8528485Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test/test_mps_unary_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2024-05-15T23:45:08.8529573Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test/test_mps_indexing_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2024-05-15T23:45:08.8530594Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/test/test_mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/test
2024-05-15T23:45:08.8531120Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils
2024-05-15T23:45:08.8532189Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/mps/utils/mps_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/mps/utils
2024-05-15T23:45:08.8532661Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml
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2024-05-15T23:45:08.8535390Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/compiler/coreml_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/compiler
2024-05-15T23:45:08.8535881Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/partition
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2024-05-15T23:45:08.8537611Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer
2024-05-15T23:45:08.8538791Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/quantizer/coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/quantizer
2024-05-15T23:45:08.8539213Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test
2024-05-15T23:45:08.8540366Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/test/test_coreml_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test
2024-05-15T23:45:08.8541516Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/apple/coreml/test/test_coreml_quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/test
2024-05-15T23:45:08.8541959Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/apple/coreml/runtime
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2024-05-15T23:45:08.8563730Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence
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2024-05-15T23:45:08.8564976Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot/compiler.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2024-05-15T23:45:08.8565877Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot/ops_registrations.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2024-05-15T23:45:08.8566982Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2024-05-15T23:45:08.8568057Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2024-05-15T23:45:08.8569021Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot/export_example.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2024-05-15T23:45:08.8569976Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot/quantizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2024-05-15T23:45:08.8570962Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/aot/functions.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/aot
2024-05-15T23:45:08.8571435Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils
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2024-05-15T23:45:08.8573487Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/backends/cadence/utils/post_compilation.py -> pip-out/bdist.linux-x86_64/wheel/executorch/backends/cadence/utils
2024-05-15T23:45:08.8573801Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples
2024-05-15T23:45:08.8574185Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models
2024-05-15T23:45:08.8575048Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models
2024-05-15T23:45:08.8576018Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/model_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models
2024-05-15T23:45:08.8576972Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/model_factory.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models
2024-05-15T23:45:08.8577389Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/deeplab_v3
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2024-05-15T23:45:08.8579420Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/deeplab_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/deeplab_v3
2024-05-15T23:45:08.8579813Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/edsr
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2024-05-15T23:45:08.8582170Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/emformer_rnnt
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2024-05-15T23:45:08.8584187Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/emformer_rnnt/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/emformer_rnnt
2024-05-15T23:45:08.8584712Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v3
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2024-05-15T23:45:08.8586986Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v3
2024-05-15T23:45:08.8587514Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v4
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2024-05-15T23:45:08.8589587Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/inception_v4/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/inception_v4
2024-05-15T23:45:08.8590074Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8590978Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8592014Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/builder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8593020Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/eval_llama.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8594042Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/eval_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8595061Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/export_llama.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8596036Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/export_llama_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8597019Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/fairseq2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8598199Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/install_requirement_helper.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8599236Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/llama_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8600298Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/llama_transformer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8601399Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2
2024-05-15T23:45:08.8601952Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops
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2024-05-15T23:45:08.8604293Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops/sdpa_with_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.8605508Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops/test_sdpa_with_kv_cache.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.8606705Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/custom_ops/libcustom_ops_aot_lib.so -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/custom_ops
2024-05-15T23:45:08.8607195Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental
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2024-05-15T23:45:08.8609823Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental/load_gguf_q4_0.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.8611035Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental/subclass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.8612270Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/experimental/test_subclass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/experimental
2024-05-15T23:45:08.8629520Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/lib
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2024-05-15T23:45:08.8632129Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/lib/quant_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/lib
2024-05-15T23:45:08.8633153Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/lib/partitioner_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/lib
2024-05-15T23:45:08.8633654Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/runner
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2024-05-15T23:45:08.8635359Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation
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2024-05-15T23:45:08.8637978Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation/quantize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.8639199Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation/rope.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.8640422Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/source_transformation/sdpa.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/source_transformation
2024-05-15T23:45:08.8641133Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tests
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2024-05-15T23:45:08.8642607Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer
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2024-05-15T23:45:08.8644760Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer/tiktoken.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer
2024-05-15T23:45:08.8645896Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer/tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer
2024-05-15T23:45:08.8646493Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer/test
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2024-05-15T23:45:08.8648988Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/tokenizer/test/test_tokenizer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/tokenizer/test
2024-05-15T23:45:08.8649465Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party
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2024-05-15T23:45:08.8651391Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/conanfile.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp
2024-05-15T23:45:08.8652753Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/create_lts.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp
2024-05-15T23:45:08.8653332Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl
2024-05-15T23:45:08.8654725Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl/abseil.podspec.gen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl
2024-05-15T23:45:08.8655411Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts
2024-05-15T23:45:08.8656803Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts/copts.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts
2024-05-15T23:45:08.8658258Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts/generate_copts.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts
2024-05-15T23:45:08.8658751Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2
2024-05-15T23:45:08.8659381Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/benchlog
2024-05-15T23:45:08.8660600Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/benchlog/benchplot.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/benchlog
2024-05-15T23:45:08.8661228Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.8662464Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/python/re2.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.8663753Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/python/re2_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.8664920Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/python/setup.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/python
2024-05-15T23:45:08.8665518Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.8666819Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/re2/make_unicode_casefold.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.8668184Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/re2/make_unicode_groups.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.8669512Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llama2/third-party/re2/re2/unicode.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llama2/third-party/re2/re2
2024-05-15T23:45:08.8670125Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava_encoder
2024-05-15T23:45:08.8671190Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llava_encoder/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava_encoder
2024-05-15T23:45:08.8672129Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/llava_encoder/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/llava_encoder
2024-05-15T23:45:08.8672656Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert
2024-05-15T23:45:08.8673701Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilebert/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert
2024-05-15T23:45:08.8674837Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilebert/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilebert
2024-05-15T23:45:08.8675270Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2
2024-05-15T23:45:08.8676268Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v2/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2
2024-05-15T23:45:08.8677380Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v2/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v2
2024-05-15T23:45:08.8677884Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3
2024-05-15T23:45:08.8678907Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v3/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3
2024-05-15T23:45:08.8679948Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/mobilenet_v3/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/mobilenet_v3
2024-05-15T23:45:08.8717438Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet
2024-05-15T23:45:08.8718675Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/resnet/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet
2024-05-15T23:45:08.8719726Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/resnet/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/resnet
2024-05-15T23:45:08.8720167Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit
2024-05-15T23:45:08.8721420Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/torchvision_vit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit
2024-05-15T23:45:08.8722541Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/torchvision_vit/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/torchvision_vit
2024-05-15T23:45:08.8722951Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model
2024-05-15T23:45:08.8723978Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/toy_model/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model
2024-05-15T23:45:08.8724872Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/toy_model/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/toy_model
2024-05-15T23:45:08.8725515Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter
2024-05-15T23:45:08.8726508Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/wav2letter/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter
2024-05-15T23:45:08.8727656Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/examples/models/wav2letter/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/examples/models/wav2letter
2024-05-15T23:45:08.8728050Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8728745Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8729397Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8730116Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/control_flow.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8731046Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8731768Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8732570Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dynamic_shape.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8733223Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/error.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8733989Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/graph.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8734679Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/graph_module.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8735570Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8736273Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/memory.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8737086Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8737787Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/pass_base.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8738571Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/pass_manager.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8739300Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/print_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8740069Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/scalar_type.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8740848Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8741525Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/sym_util.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8742214Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tracer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8742949Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/types.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8743691Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/version.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8744367Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/wrap.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8745034Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir
2024-05-15T23:45:08.8745585Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8746390Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8747345Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/_cord.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8748142Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/_dataclass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8749048Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8749878Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8750378Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
2024-05-15T23:45:08.8751252Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/test/test_cord.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
2024-05-15T23:45:08.8752227Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/test/test_flatbuffer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
2024-05-15T23:45:08.8753195Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize/test
2024-05-15T23:45:08.8754014Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8754903Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/_serialize/program.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/_serialize
2024-05-15T23:45:08.8755246Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2024-05-15T23:45:08.8756159Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/backend_api.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2024-05-15T23:45:08.8757024Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/backend_details.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2024-05-15T23:45:08.8758109Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/compile_spec_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2024-05-15T23:45:08.8759025Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2024-05-15T23:45:08.8759835Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend
2024-05-15T23:45:08.8760414Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.8761810Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.8763056Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.8764305Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/canonical_partitioners
2024-05-15T23:45:08.8764745Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8765733Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/backend_with_compiler_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8766945Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/backend_with_delegate_mapping_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8803895Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/hta_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8805164Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/op_partitioner_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8806184Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/qnn_backend_demo.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8807054Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_backends.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8808011Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_backends_lifted.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8808917Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_backends_nested.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8809832Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_debug_handle_map.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8810756Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_delegate_map_builder.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8811656Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_graph_partition.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8812597Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_lowered_backend_module.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8813478Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8814339Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8815182Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/test_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test
2024-05-15T23:45:08.8815573Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos
2024-05-15T23:45:08.8816564Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/test_delegate_aten_mode.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos
2024-05-15T23:45:08.8817554Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos
2024-05-15T23:45:08.8817968Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.8819058Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.8820144Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.8821118Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/backend/test/demos/rpc/test_rpc.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/backend/test/demos/rpc
2024-05-15T23:45:08.8821513Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2024-05-15T23:45:08.8822267Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2024-05-15T23:45:08.8823073Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture/_capture.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2024-05-15T23:45:08.8823837Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture/_unlift.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2024-05-15T23:45:08.8824590Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/capture/_config.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/capture
2024-05-15T23:45:08.8824933Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects
2024-05-15T23:45:08.8825751Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects
2024-05-15T23:45:08.8826536Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects
2024-05-15T23:45:08.8826921Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend
2024-05-15T23:45:08.8827782Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/backend/_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend
2024-05-15T23:45:08.8828188Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test
2024-05-15T23:45:08.8829189Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/backend/test/test_backend_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/backend/test
2024-05-15T23:45:08.8829548Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge
2024-05-15T23:45:08.8830372Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge
2024-05-15T23:45:08.8830755Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg
2024-05-15T23:45:08.8831646Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/arg/model.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg
2024-05-15T23:45:08.8832533Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/arg/type.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/arg
2024-05-15T23:45:08.8832922Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.8833847Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/dtype/runner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.8834790Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/dtype/supported.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.8835709Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/dtype/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/dtype
2024-05-15T23:45:08.8836094Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op
2024-05-15T23:45:08.8836960Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op/api.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op
2024-05-15T23:45:08.8838012Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op/sample_input.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op
2024-05-15T23:45:08.8838414Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test
2024-05-15T23:45:08.8839370Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/op/test/test_api.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/op/test
2024-05-15T23:45:08.8839806Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec
2024-05-15T23:45:08.8840686Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/spec/gen.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec
2024-05-15T23:45:08.8841835Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/spec/utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/spec
2024-05-15T23:45:08.8842228Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test
2024-05-15T23:45:08.8843167Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/test/test_edge_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test
2024-05-15T23:45:08.8844116Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/test/test_edge_yaml.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge/test
2024-05-15T23:45:08.8845002Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/edge/edge.yaml -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/edge
2024-05-15T23:45:08.8845380Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test
2024-05-15T23:45:08.8846342Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/dialects/test/test_exir_dialect_ops.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/dialects/test
2024-05-15T23:45:08.8846653Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2024-05-15T23:45:08.8847381Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2024-05-15T23:45:08.8848129Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit/_emit_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2024-05-15T23:45:08.8848858Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit/_emitter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit
2024-05-15T23:45:08.8899015Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test
2024-05-15T23:45:08.8900078Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/emit/test/test_emit.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/emit/test
2024-05-15T23:45:08.8900462Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2024-05-15T23:45:08.8901343Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator/convert.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2024-05-15T23:45:08.8902121Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator/manip.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2024-05-15T23:45:08.8902871Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator/util.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator
2024-05-15T23:45:08.8903251Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test
2024-05-15T23:45:08.8904178Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/operator/test/test_operator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/operator/test
2024-05-15T23:45:08.8904508Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8905255Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8906113Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/_quant_patterns_and_replacements.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8906902Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/const_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8907746Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/debug_handle_generator_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8908781Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/dim_order_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8909699Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/dynamic_shape_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8910742Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/executorch_prim_ops_registry.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8911874Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/insert_write_back_for_buffers_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8912957Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8913793Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/memory_planning_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8914803Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/normalize_transpose_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8915814Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/normalize_view_copy_base_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8916681Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/pass_registry.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8917630Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8920339Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/remove_graph_asserts_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8921477Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/remove_mixed_type_operators.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8922351Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/remove_noop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8923284Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/replace_aten_with_edge_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8924374Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8925257Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/replace_edge_with_backend_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8926094Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/replace_sym_size_op_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8926917Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/scalar_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8927711Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/spec_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8928510Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/sym_shape_eval_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8929309Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/sym_to_tensor_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8930113Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/constant_prop_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8931072Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/passes/replace_view_copy_with_view_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/passes
2024-05-15T23:45:08.8931411Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
2024-05-15T23:45:08.8932219Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
2024-05-15T23:45:08.8933001Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
2024-05-15T23:45:08.8933753Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program
2024-05-15T23:45:08.8934108Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test
2024-05-15T23:45:08.8934991Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/test/test_fake_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test
2024-05-15T23:45:08.8935931Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/program/test/test_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/program/test
2024-05-15T23:45:08.8936252Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
2024-05-15T23:45:08.8936975Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
2024-05-15T23:45:08.8937706Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde/schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
2024-05-15T23:45:08.8938462Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde/serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
2024-05-15T23:45:08.8939241Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/serde/export_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/serde
2024-05-15T23:45:08.8939672Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8940557Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/asr_joiner.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8941309Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8942119Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/control_flow_models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8942922Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/dynamic_shape_models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8943659Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/models.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8944445Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8945207Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_capture.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8945962Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_common.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8946723Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_delegate.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.8947521Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_dim_order_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9067210Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_dynamic_shape_propagation.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9069336Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_error.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9070974Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_memory_format_ops_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9072703Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_op_convert.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9074280Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_pass_infra.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9075878Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_print_program.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9077754Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_quant_fusion_pass.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9079859Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_quantization.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9081788Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_serde.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9083431Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_tensor.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9085180Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_tracer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9086876Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_verification.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9088562Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/transformer.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9090325Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_memory_planning.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9092170Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_passes.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9093941Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/tests/test_remove_view_copy.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/tests
2024-05-15T23:45:08.9095392Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2024-05-15T23:45:08.9096839Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification/arg_validator.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2024-05-15T23:45:08.9098875Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification/dev_html.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2024-05-15T23:45:08.9100774Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification/interpreter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2024-05-15T23:45:08.9102766Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification/verifier.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification
2024-05-15T23:45:08.9104183Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test
2024-05-15T23:45:08.9105742Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/exir/verification/test/test_verifier.py -> pip-out/bdist.linux-x86_64/wheel/executorch/exir/verification/test
2024-05-15T23:45:08.9107162Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension
2024-05-15T23:45:08.9108014Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util
2024-05-15T23:45:08.9109478Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util/convert_main.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util
2024-05-15T23:45:08.9111553Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util/converter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util
2024-05-15T23:45:08.9113584Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util/load_gguf.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util
2024-05-15T23:45:08.9115047Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util/converters
2024-05-15T23:45:08.9116718Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/gguf_util/converters/llama_converter.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/gguf_util/converters
2024-05-15T23:45:08.9118368Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings
2024-05-15T23:45:08.9119915Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings/portable_lib.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings
2024-05-15T23:45:08.9121689Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test
2024-05-15T23:45:08.9123291Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings/test/make_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test
2024-05-15T23:45:08.9125607Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings/test/test_pybindings.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings/test
2024-05-15T23:45:08.9127964Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pybindings/_portable_lib.cpython-311-x86_64-linux-gnu.so -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pybindings
2024-05-15T23:45:08.9129565Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree
2024-05-15T23:45:08.9130984Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pytree/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree
2024-05-15T23:45:08.9132400Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree/test
2024-05-15T23:45:08.9133960Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/extension/pytree/test/test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/extension/pytree/test
2024-05-15T23:45:08.9135291Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk
2024-05-15T23:45:08.9136496Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk
2024-05-15T23:45:08.9137595Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program
2024-05-15T23:45:08.9139117Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/config.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program
2024-05-15T23:45:08.9141037Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/core.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program
2024-05-15T23:45:08.9143029Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/version.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program
2024-05-15T23:45:08.9144530Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.9146101Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.9148363Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema/bundled_program_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.9150008Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema/test
2024-05-15T23:45:08.9151749Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema/test/test_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema/test
2024-05-15T23:45:08.9154144Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.9156556Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/schema
2024-05-15T23:45:08.9158239Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.9160064Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.9161862Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize/test
2024-05-15T23:45:08.9163549Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize/test/test_serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize/test
2024-05-15T23:45:08.9165754Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize/bundled_program_schema.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.9167791Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/serialize/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/serialize
2024-05-15T23:45:08.9169222Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.9170624Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/test/test_bundle_data.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.9172468Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/test/test_config.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.9174306Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/test/test_end2end.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/test
2024-05-15T23:45:08.9175632Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/util
2024-05-15T23:45:08.9177008Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/bundled_program/util/test_util.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/bundled_program/util
2024-05-15T23:45:08.9178274Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/debug_format
2024-05-15T23:45:08.9179534Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/debug_format/base_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/debug_format
2024-05-15T23:45:08.9181187Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/debug_format/et_schema.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/debug_format
2024-05-15T23:45:08.9182343Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump
2024-05-15T23:45:08.9183516Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump/schema_flatcc.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump
2024-05-15T23:45:08.9185074Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump/serialize.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump
2024-05-15T23:45:08.9186225Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump/tests
2024-05-15T23:45:08.9187524Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump/tests/serialize_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump/tests
2024-05-15T23:45:08.9189209Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump/etdump_schema_flatcc.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump
2024-05-15T23:45:08.9190815Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etdump/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etdump
2024-05-15T23:45:08.9192002Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord
2024-05-15T23:45:08.9193161Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord
2024-05-15T23:45:08.9194782Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord/_etrecord.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord
2024-05-15T23:45:08.9195946Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord/tests
2024-05-15T23:45:08.9197412Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/etrecord/tests/etrecord_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/etrecord/tests
2024-05-15T23:45:08.9198678Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector
2024-05-15T23:45:08.9199865Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/__init__.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector
2024-05-15T23:45:08.9201577Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/_inspector.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector
2024-05-15T23:45:08.9203273Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/_inspector_utils.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector
2024-05-15T23:45:08.9204926Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/inspector_cli.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector
2024-05-15T23:45:08.9206140Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests
2024-05-15T23:45:08.9207502Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/tests/event_blocks_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests
2024-05-15T23:45:08.9209333Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/tests/inspector_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests
2024-05-15T23:45:08.9211184Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/inspector/tests/inspector_utils_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/inspector/tests
2024-05-15T23:45:08.9212530Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/sdk/size_analysis_tool
2024-05-15T23:45:08.9213912Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/size_analysis_tool/size_analysis_tool.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/size_analysis_tool
2024-05-15T23:45:08.9215823Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/sdk/size_analysis_tool/size_analysis_tool_test.py -> pip-out/bdist.linux-x86_64/wheel/executorch/sdk/size_analysis_tool
2024-05-15T23:45:08.9217043Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/util
2024-05-15T23:45:08.9218189Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/util/activation_memory_profiler.py -> pip-out/bdist.linux-x86_64/wheel/executorch/util
2024-05-15T23:45:08.9219700Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/util/python_profiler.py -> pip-out/bdist.linux-x86_64/wheel/executorch/util
2024-05-15T23:45:08.9220748Z   creating pip-out/bdist.linux-x86_64/wheel/executorch/schema
2024-05-15T23:45:08.9221826Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/schema/program.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/schema
2024-05-15T23:45:08.9223290Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/schema/scalar_type.fbs -> pip-out/bdist.linux-x86_64/wheel/executorch/schema
2024-05-15T23:45:08.9224652Z   copying pip-out/lib.linux-x86_64-cpython-311/executorch/version.py -> pip-out/bdist.linux-x86_64/wheel/executorch
2024-05-15T23:45:08.9225563Z   creating pip-out/bdist.linux-x86_64/wheel/serializer
2024-05-15T23:45:08.9226514Z   copying pip-out/lib.linux-x86_64-cpython-311/serializer/__init__.py -> pip-out/bdist.linux-x86_64/wheel/serializer
2024-05-15T23:45:08.9227812Z   copying pip-out/lib.linux-x86_64-cpython-311/serializer/tosa_serializer.py -> pip-out/bdist.linux-x86_64/wheel/serializer
2024-05-15T23:45:08.9228802Z   creating pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9229804Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/ArithmeticRightShiftAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9231092Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/Attribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9232361Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/AxisAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9233586Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/ClampAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9234829Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/CondIfAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9236060Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/ConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9237399Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/CustomAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9238657Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/DType.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9239826Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/FFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9241223Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/FullyConnectedAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9242512Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/MatMulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9243730Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/MulAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9244955Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/NegateAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9246118Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/Op.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9247263Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/PadAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9248481Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/PoolAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9249702Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/RFFTAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9250944Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/RescaleAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9252188Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/ReshapeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9253438Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/ResizeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9254649Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/ResizeMode.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9255848Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/SliceAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9257076Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TableAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9258302Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TileAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9259533Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TosaBasicBlock.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9544331Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TosaGraph.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9546143Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TosaOperator.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9547713Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TosaRegion.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9548883Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TosaTensor.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9550307Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TransposeAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9551608Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/TransposeConvAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9552920Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/Version.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9554138Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/WhileLoopAttribute.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9555341Z   copying pip-out/lib.linux-x86_64-cpython-311/tosa/__init__.py -> pip-out/bdist.linux-x86_64/wheel/tosa
2024-05-15T23:45:08.9556073Z   running install_egg_info
2024-05-15T23:45:08.9556871Z   Copying executorch.egg-info to pip-out/bdist.linux-x86_64/wheel/executorch-0.3.0a0+fff20a7-py3.11.egg-info
2024-05-15T23:45:08.9557756Z   running install_scripts
2024-05-15T23:45:08.9558421Z   creating pip-out/bdist.linux-x86_64/wheel/executorch-0.3.0a0+fff20a7.dist-info/WHEEL
2024-05-15T23:45:08.9559869Z   creating '/tmp/pip-wheel-rkcvy49s/.tmp-a3_6qrxj/executorch-0.3.0a0+fff20a7-cp311-cp311-linux_x86_64.whl' and adding 'pip-out/bdist.linux-x86_64/wheel' to it
2024-05-15T23:45:08.9561080Z   adding 'executorch/version.py'
2024-05-15T23:45:08.9561659Z   adding 'executorch/backends/apple/coreml/compiler/__init__.py'
2024-05-15T23:45:08.9562427Z   adding 'executorch/backends/apple/coreml/compiler/coreml_preprocess.py'
2024-05-15T23:45:08.9563269Z   adding 'executorch/backends/apple/coreml/partition/coreml_partitioner.py'
2024-05-15T23:45:08.9564107Z   adding 'executorch/backends/apple/coreml/quantizer/coreml_quantizer.py'
2024-05-15T23:45:08.9564910Z   adding 'executorch/backends/apple/coreml/runtime/inmemoryfs/setup.py'
2024-05-15T23:45:08.9565726Z   adding 'executorch/backends/apple/coreml/test/test_coreml_partitioner.py'
2024-05-15T23:45:08.9566554Z   adding 'executorch/backends/apple/coreml/test/test_coreml_quantizer.py'
2024-05-15T23:45:08.9567286Z   adding 'executorch/backends/apple/mps/mps_preprocess.py'
2024-05-15T23:45:08.9567946Z   adding 'executorch/backends/apple/mps/operators/__init__.py'
2024-05-15T23:45:08.9568668Z   adding 'executorch/backends/apple/mps/operators/activation_ops.py'
2024-05-15T23:45:08.9569405Z   adding 'executorch/backends/apple/mps/operators/binary_ops.py'
2024-05-15T23:45:08.9570110Z   adding 'executorch/backends/apple/mps/operators/clamp_ops.py'
2024-05-15T23:45:08.9570832Z   adding 'executorch/backends/apple/mps/operators/constant_ops.py'
2024-05-15T23:45:08.9571587Z   adding 'executorch/backends/apple/mps/operators/convolution_ops.py'
2024-05-15T23:45:08.9572334Z   adding 'executorch/backends/apple/mps/operators/indexing_ops.py'
2024-05-15T23:45:08.9573101Z   adding 'executorch/backends/apple/mps/operators/linear_algebra_ops.py'
2024-05-15T23:45:08.9573875Z   adding 'executorch/backends/apple/mps/operators/node_visitor.py'
2024-05-15T23:45:08.9574640Z   adding 'executorch/backends/apple/mps/operators/normalization_ops.py'
2024-05-15T23:45:08.9575373Z   adding 'executorch/backends/apple/mps/operators/op_clone.py'
2024-05-15T23:45:08.9586004Z   adding 'executorch/backends/apple/mps/operators/op_getitem.py'
2024-05-15T23:45:08.9586730Z   adding 'executorch/backends/apple/mps/operators/pad_ops.py'
2024-05-15T23:45:08.9587445Z   adding 'executorch/backends/apple/mps/operators/pooling_ops.py'
2024-05-15T23:45:08.9588157Z   adding 'executorch/backends/apple/mps/operators/range_ops.py'
2024-05-15T23:45:08.9588863Z   adding 'executorch/backends/apple/mps/operators/reduce_ops.py'
2024-05-15T23:45:08.9589556Z   adding 'executorch/backends/apple/mps/operators/shape_ops.py'
2024-05-15T23:45:08.9590246Z   adding 'executorch/backends/apple/mps/operators/unary_ops.py'
2024-05-15T23:45:08.9590989Z   adding 'executorch/backends/apple/mps/partition/mps_partitioner.py'
2024-05-15T23:45:08.9591805Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_schema.py'
2024-05-15T23:45:08.9592754Z   adding 'executorch/backends/apple/mps/serialization/mps_graph_serialize.py'
2024-05-15T23:45:08.9593552Z   adding 'executorch/backends/apple/mps/serialization/schema.fbs'
2024-05-15T23:45:08.9594227Z   adding 'executorch/backends/apple/mps/test/test_mps.py'
2024-05-15T23:45:08.9594911Z   adding 'executorch/backends/apple/mps/test/test_mps_binary_ops.py'
2024-05-15T23:45:08.9595745Z   adding 'executorch/backends/apple/mps/test/test_mps_indexing_ops.py'
2024-05-15T23:45:08.9596484Z   adding 'executorch/backends/apple/mps/test/test_mps_models.py'
2024-05-15T23:45:08.9597207Z   adding 'executorch/backends/apple/mps/test/test_mps_unary_ops.py'
2024-05-15T23:45:08.9597992Z   adding 'executorch/backends/apple/mps/test/test_mps_utils.py'
2024-05-15T23:45:08.9598667Z   adding 'executorch/backends/apple/mps/utils/mps_utils.py'
2024-05-15T23:45:08.9599272Z   adding 'executorch/backends/arm/arm_backend.py'
2024-05-15T23:45:08.9600064Z   adding 'executorch/backends/arm/arm_partitioner.py'
2024-05-15T23:45:08.9600727Z   adding 'executorch/backends/arm/arm_quantizer.py'
2024-05-15T23:45:08.9601547Z   adding 'executorch/backends/arm/arm_quantizer_utils.py'
2024-05-15T23:45:08.9602115Z   adding 'executorch/backends/arm/arm_vela.py'
2024-05-15T23:45:08.9602661Z   adding 'executorch/backends/arm/tosa_mapping.py'
2024-05-15T23:45:08.9603241Z   adding 'executorch/backends/arm/tosa_quant_utils.py'
2024-05-15T23:45:08.9603808Z   adding 'executorch/backends/arm/tosa_utils.py'
2024-05-15T23:45:08.9604391Z   adding 'executorch/backends/arm/operators/__init__.py'
2024-05-15T23:45:08.9605033Z   adding 'executorch/backends/arm/operators/node_visitor.py'
2024-05-15T23:45:08.9605656Z   adding 'executorch/backends/arm/operators/op_add.py'
2024-05-15T23:45:08.9606275Z   adding 'executorch/backends/arm/operators/op_addmm.py'
2024-05-15T23:45:08.9606928Z   adding 'executorch/backends/arm/operators/op_avg_pool2d.py'
2024-05-15T23:45:08.9607597Z   adding 'executorch/backends/arm/operators/op_batch_norm.py'
2024-05-15T23:45:08.9608252Z   adding 'executorch/backends/arm/operators/op_clone.py'
2024-05-15T23:45:08.9608882Z   adding 'executorch/backends/arm/operators/op_common.py'
2024-05-15T23:45:08.9609504Z   adding 'executorch/backends/arm/operators/op_conv2d.py'
2024-05-15T23:45:08.9610139Z   adding 'executorch/backends/arm/operators/op_dequant.py'
2024-05-15T23:45:08.9610759Z   adding 'executorch/backends/arm/operators/op_div.py'
2024-05-15T23:45:08.9611384Z   adding 'executorch/backends/arm/operators/op_get_item.py'
2024-05-15T23:45:08.9612030Z   adding 'executorch/backends/arm/operators/op_hardtanh.py'
2024-05-15T23:45:08.9612671Z   adding 'executorch/backends/arm/operators/op_mean_dim.py'
2024-05-15T23:45:08.9613318Z   adding 'executorch/backends/arm/operators/op_permute.py'
2024-05-15T23:45:08.9613977Z   adding 'executorch/backends/arm/operators/op_placeholder.py'
2024-05-15T23:45:08.9614630Z   adding 'executorch/backends/arm/operators/op_quant.py'
2024-05-15T23:45:08.9615262Z   adding 'executorch/backends/arm/operators/op_softmax.py'
2024-05-15T23:45:08.9615880Z   adding 'executorch/backends/arm/operators/op_view.py'
2024-05-15T23:45:08.9616527Z   adding 'executorch/backends/arm/test/arm_tosa_reference.py'
2024-05-15T23:45:08.9617134Z   adding 'executorch/backends/arm/test/common.py'
2024-05-15T23:45:08.9617702Z   adding 'executorch/backends/arm/test/test_models.py'
2024-05-15T23:45:08.9618296Z   adding 'executorch/backends/arm/test/test_tosa.py'
2024-05-15T23:45:08.9618942Z   adding 'executorch/backends/arm/test/misc/test_debug_feats.py'
2024-05-15T23:45:08.9619679Z   adding 'executorch/backends/arm/test/models/test_mobilenet_v2_arm.py'
2024-05-15T23:45:08.9620365Z   adding 'executorch/backends/arm/test/ops/test_add.py'
2024-05-15T23:45:08.9621004Z   adding 'executorch/backends/arm/test/ops/test_avg_pool.py'
2024-05-15T23:45:08.9621664Z   adding 'executorch/backends/arm/test/ops/test_batch_norm.py'
2024-05-15T23:45:08.9622312Z   adding 'executorch/backends/arm/test/ops/test_clone.py'
2024-05-15T23:45:08.9622933Z   adding 'executorch/backends/arm/test/ops/test_conv.py'
2024-05-15T23:45:08.9623641Z   adding 'executorch/backends/arm/test/ops/test_conv_combos.py'
2024-05-15T23:45:08.9624359Z   adding 'executorch/backends/arm/test/ops/test_depthwise_conv.py'
2024-05-15T23:45:08.9625042Z   adding 'executorch/backends/arm/test/ops/test_linear.py'
2024-05-15T23:45:08.9625696Z   adding 'executorch/backends/arm/test/ops/test_mean_dim.py'
2024-05-15T23:45:08.9626408Z   adding 'executorch/backends/arm/test/ops/test_softmax.py'
2024-05-15T23:45:08.9627040Z   adding 'executorch/backends/arm/test/ops/test_view.py'
2024-05-15T23:45:08.9627662Z   adding 'executorch/backends/arm/test/tester/__init__.py'
2024-05-15T23:45:08.9628301Z   adding 'executorch/backends/arm/test/tester/arm_tester.py'
2024-05-15T23:45:08.9628956Z   adding 'executorch/backends/arm/test/tosautil/__init__.py'
2024-05-15T23:45:08.9629660Z   adding 'executorch/backends/arm/test/tosautil/tosa_test_utils.py'
2024-05-15T23:45:08.9630433Z   adding 'executorch/backends/arm/third-party/serialization_lib/setup.py'
2024-05-15T23:45:08.9631407Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/__init__.py'
2024-05-15T23:45:08.9632492Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/serializer/tosa_serializer.py'
2024-05-15T23:45:08.9633700Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ArithmeticRightShiftAttribute.py'
2024-05-15T23:45:08.9634829Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Attribute.py'
2024-05-15T23:45:08.9635858Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/AxisAttribute.py'
2024-05-15T23:45:08.9636911Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ClampAttribute.py'
2024-05-15T23:45:08.9638036Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CondIfAttribute.py'
2024-05-15T23:45:08.9639093Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ConvAttribute.py'
2024-05-15T23:45:08.9640152Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/CustomAttribute.py'
2024-05-15T23:45:08.9641283Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/DType.py'
2024-05-15T23:45:08.9642281Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FFTAttribute.py'
2024-05-15T23:45:08.9643395Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/FullyConnectedAttribute.py'
2024-05-15T23:45:08.9644515Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MatMulAttribute.py'
2024-05-15T23:45:08.9645553Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/MulAttribute.py'
2024-05-15T23:45:08.9646596Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/NegateAttribute.py'
2024-05-15T23:45:08.9799627Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Op.py'
2024-05-15T23:45:08.9803212Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PadAttribute.py'
2024-05-15T23:45:08.9804448Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/PoolAttribute.py'
2024-05-15T23:45:08.9805644Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RFFTAttribute.py'
2024-05-15T23:45:08.9806827Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/RescaleAttribute.py'
2024-05-15T23:45:08.9807950Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ReshapeAttribute.py'
2024-05-15T23:45:08.9809182Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeAttribute.py'
2024-05-15T23:45:08.9810212Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/ResizeMode.py'
2024-05-15T23:45:08.9811392Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/SliceAttribute.py'
2024-05-15T23:45:08.9812451Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TableAttribute.py'
2024-05-15T23:45:08.9813625Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TileAttribute.py'
2024-05-15T23:45:08.9814767Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaBasicBlock.py'
2024-05-15T23:45:08.9815931Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaGraph.py'
2024-05-15T23:45:08.9817069Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaOperator.py'
2024-05-15T23:45:08.9818134Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaRegion.py'
2024-05-15T23:45:08.9819293Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TosaTensor.py'
2024-05-15T23:45:08.9820482Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeAttribute.py'
2024-05-15T23:45:08.9821649Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/TransposeConvAttribute.py'
2024-05-15T23:45:08.9822738Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/Version.py'
2024-05-15T23:45:08.9823915Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/WhileLoopAttribute.py'
2024-05-15T23:45:08.9825125Z   adding 'executorch/backends/arm/third-party/serialization_lib/python/tosa/__init__.py'
2024-05-15T23:45:08.9826073Z   adding 'executorch/backends/arm/third-party/serialization_lib/schema/tosa.fbs'
2024-05-15T23:45:08.9827071Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/test_npy_fileio.py'
2024-05-15T23:45:08.9828128Z   adding 'executorch/backends/arm/third-party/serialization_lib/test/scripts/xunit/xunit.py'
2024-05-15T23:45:08.9828929Z   adding 'executorch/backends/cadence/aot/__init__.py'
2024-05-15T23:45:08.9829538Z   adding 'executorch/backends/cadence/aot/compiler.py'
2024-05-15T23:45:08.9830181Z   adding 'executorch/backends/cadence/aot/export_example.py'
2024-05-15T23:45:08.9830833Z   adding 'executorch/backends/cadence/aot/functions.yaml'
2024-05-15T23:45:08.9831524Z   adding 'executorch/backends/cadence/aot/ops_registrations.py'
2024-05-15T23:45:08.9832188Z   adding 'executorch/backends/cadence/aot/quantizer.py'
2024-05-15T23:45:08.9832782Z   adding 'executorch/backends/cadence/aot/utils.py'
2024-05-15T23:45:08.9833471Z   adding 'executorch/backends/cadence/utils/gen_header.py'
2024-05-15T23:45:08.9834238Z   adding 'executorch/backends/cadence/utils/post_compilation.py'
2024-05-15T23:45:08.9834922Z   adding 'executorch/backends/example/example_backend.py'
2024-05-15T23:45:08.9835579Z   adding 'executorch/backends/example/example_partitioner.py'
2024-05-15T23:45:08.9836255Z   adding 'executorch/backends/example/example_quantizer.py'
2024-05-15T23:45:08.9836936Z   adding 'executorch/backends/example/test_example_delegate.py'
2024-05-15T23:45:08.9838047Z   adding 'executorch/backends/example/example_backend_delegate_passes/merge_to_dim_pass.py'
2024-05-15T23:45:08.9839122Z   adding 'executorch/backends/example/example_backend_delegate_passes/permute_memory_formats_pass.py'
2024-05-15T23:45:08.9840124Z   adding 'executorch/backends/example/example_operators/adaptive_avg_pool2d.py'
2024-05-15T23:45:08.9841061Z   adding 'executorch/backends/example/example_operators/add.py'
2024-05-15T23:45:08.9841840Z   adding 'executorch/backends/example/example_operators/conv2d.py'
2024-05-15T23:45:08.9842731Z   adding 'executorch/backends/example/example_operators/conv_relu.py'
2024-05-15T23:45:08.9843636Z   adding 'executorch/backends/example/example_operators/dropout.py'
2024-05-15T23:45:08.9844391Z   adding 'executorch/backends/example/example_operators/flatten.py'
2024-05-15T23:45:08.9845134Z   adding 'executorch/backends/example/example_operators/linear.py'
2024-05-15T23:45:08.9845882Z   adding 'executorch/backends/example/example_operators/op_base.py'
2024-05-15T23:45:08.9846737Z   adding 'executorch/backends/example/example_operators/ops.py'
2024-05-15T23:45:08.9847470Z   adding 'executorch/backends/example/example_operators/utils.py'
2024-05-15T23:45:08.9848251Z   adding 'executorch/backends/qualcomm/qnn_preprocess.py'
2024-05-15T23:45:08.9848874Z   adding 'executorch/backends/qualcomm/aot/ir/qcir.fbs'
2024-05-15T23:45:08.9849670Z   adding 'executorch/backends/qualcomm/builders/__init__.py'
2024-05-15T23:45:08.9850377Z   adding 'executorch/backends/qualcomm/builders/node_visitor.py'
2024-05-15T23:45:08.9851145Z   adding 'executorch/backends/qualcomm/builders/op_add.py'
2024-05-15T23:45:08.9851997Z   adding 'executorch/backends/qualcomm/builders/op_avg_pool2d.py'
2024-05-15T23:45:08.9852782Z   adding 'executorch/backends/qualcomm/builders/op_batch_norm.py'
2024-05-15T23:45:08.9853723Z   adding 'executorch/backends/qualcomm/builders/op_bmm.py'
2024-05-15T23:45:08.9854446Z   adding 'executorch/backends/qualcomm/builders/op_cast.py'
2024-05-15T23:45:08.9855097Z   adding 'executorch/backends/qualcomm/builders/op_cat.py'
2024-05-15T23:45:08.9855952Z   adding 'executorch/backends/qualcomm/builders/op_ceil.py'
2024-05-15T23:45:08.9856625Z   adding 'executorch/backends/qualcomm/builders/op_clamp.py'
2024-05-15T23:45:08.9857389Z   adding 'executorch/backends/qualcomm/builders/op_conv2d.py'
2024-05-15T23:45:08.9858146Z   adding 'executorch/backends/qualcomm/builders/op_depth_to_space.py'
2024-05-15T23:45:08.9859045Z   adding 'executorch/backends/qualcomm/builders/op_dequantize.py'
2024-05-15T23:45:08.9859758Z   adding 'executorch/backends/qualcomm/builders/op_div.py'
2024-05-15T23:45:08.9860448Z   adding 'executorch/backends/qualcomm/builders/op_embedding.py'
2024-05-15T23:45:08.9861150Z   adding 'executorch/backends/qualcomm/builders/op_expand.py'
2024-05-15T23:45:08.9861828Z   adding 'executorch/backends/qualcomm/builders/op_gelu.py'
2024-05-15T23:45:08.9862525Z   adding 'executorch/backends/qualcomm/builders/op_hardswish.py'
2024-05-15T23:45:08.9863231Z   adding 'executorch/backends/qualcomm/builders/op_hardtanh.py'
2024-05-15T23:45:08.9863953Z   adding 'executorch/backends/qualcomm/builders/op_layer_norm.py'
2024-05-15T23:45:08.9864667Z   adding 'executorch/backends/qualcomm/builders/op_linear.py'
2024-05-15T23:45:08.9865388Z   adding 'executorch/backends/qualcomm/builders/op_log_softmax.py'
2024-05-15T23:45:08.9866109Z   adding 'executorch/backends/qualcomm/builders/op_matmul.py'
2024-05-15T23:45:08.9866945Z   adding 'executorch/backends/qualcomm/builders/op_max_pool2d.py'
2024-05-15T23:45:08.9867674Z   adding 'executorch/backends/qualcomm/builders/op_mean_dim.py'
2024-05-15T23:45:08.9868344Z   adding 'executorch/backends/qualcomm/builders/op_mul.py'
2024-05-15T23:45:08.9869125Z   adding 'executorch/backends/qualcomm/builders/op_pad.py'
2024-05-15T23:45:08.9869786Z   adding 'executorch/backends/qualcomm/builders/op_pow.py'
2024-05-15T23:45:08.9870452Z   adding 'executorch/backends/qualcomm/builders/op_quantize.py'
2024-05-15T23:45:08.9871268Z   adding 'executorch/backends/qualcomm/builders/op_relu.py'
2024-05-15T23:45:08.9871964Z   adding 'executorch/backends/qualcomm/builders/op_reshape.py'
2024-05-15T23:45:08.9872645Z   adding 'executorch/backends/qualcomm/builders/op_rsqrt.py'
2024-05-15T23:45:08.9873503Z   adding 'executorch/backends/qualcomm/builders/op_select_copy.py'
2024-05-15T23:45:08.9874367Z   adding 'executorch/backends/qualcomm/builders/op_sigmoid.py'
2024-05-15T23:45:08.9875074Z   adding 'executorch/backends/qualcomm/builders/op_skip_ops.py'
2024-05-15T23:45:08.9875933Z   adding 'executorch/backends/qualcomm/builders/op_slice_copy.py'
2024-05-15T23:45:08.9876646Z   adding 'executorch/backends/qualcomm/builders/op_softmax.py'
2024-05-15T23:45:08.9877530Z   adding 'executorch/backends/qualcomm/builders/op_sqrt.py'
2024-05-15T23:45:08.9878219Z   adding 'executorch/backends/qualcomm/builders/op_squeeze.py'
2024-05-15T23:45:08.9878968Z   adding 'executorch/backends/qualcomm/builders/op_sub.py'
2024-05-15T23:45:08.9879726Z   adding 'executorch/backends/qualcomm/builders/op_sum_int_list.py'
2024-05-15T23:45:08.9880446Z   adding 'executorch/backends/qualcomm/builders/op_tanh.py'
2024-05-15T23:45:08.9881396Z   adding 'executorch/backends/qualcomm/builders/op_transpose.py'
2024-05-15T23:45:08.9882386Z   adding 'executorch/backends/qualcomm/builders/op_unsqueeze.py'
2024-05-15T23:45:08.9883185Z   adding 'executorch/backends/qualcomm/builders/op_upsample_bilinear2d.py'
2024-05-15T23:45:08.9884110Z   adding 'executorch/backends/qualcomm/builders/qnn_constants.py'
2024-05-15T23:45:08.9884920Z   adding 'executorch/backends/qualcomm/builders/utils.py'
2024-05-15T23:45:08.9885787Z   adding 'executorch/backends/qualcomm/partition/common_defs.py'
2024-05-15T23:45:08.9886540Z   adding 'executorch/backends/qualcomm/partition/qnn_partitioner.py'
2024-05-15T23:45:08.9887548Z   adding 'executorch/backends/qualcomm/passes/annotate_and_quant_scalar.py'
2024-05-15T23:45:08.9888518Z   adding 'executorch/backends/qualcomm/passes/annotate_decomposed.py'
2024-05-15T23:45:08.9889304Z   adding 'executorch/backends/qualcomm/passes/annotate_quant_attrs.py'
2024-05-15T23:45:08.9890281Z   adding 'executorch/backends/qualcomm/passes/convert_binary_op_with_scalar.py'
2024-05-15T23:45:08.9891341Z   adding 'executorch/backends/qualcomm/passes/convert_bmm_to_matmul.py'
2024-05-15T23:45:08.9892136Z   adding 'executorch/backends/qualcomm/passes/convert_hardsigmoid.py'
2024-05-15T23:45:08.9893035Z   adding 'executorch/backends/qualcomm/passes/convert_hardswish.py'
2024-05-15T23:45:08.9893938Z   adding 'executorch/backends/qualcomm/passes/convert_interpolate_with_upsample2d.py'
2024-05-15T23:45:08.9894905Z   adding 'executorch/backends/qualcomm/passes/convert_to_linear.py'
2024-05-15T23:45:08.9895909Z   adding 'executorch/backends/qualcomm/passes/decompose_scaled_dot_product_attention.py'
2024-05-15T23:45:08.9896844Z   adding 'executorch/backends/qualcomm/passes/decompose_silu.py'
2024-05-15T23:45:08.9897572Z   adding 'executorch/backends/qualcomm/passes/fold_qdq.py'
2024-05-15T23:45:08.9898420Z   adding 'executorch/backends/qualcomm/passes/i64_to_i32.py'
2024-05-15T23:45:08.9899122Z   adding 'executorch/backends/qualcomm/passes/insert_io_qdq.py'
2024-05-15T23:45:08.9899992Z   adding 'executorch/backends/qualcomm/passes/insert_requantize.py'
2024-05-15T23:45:08.9900875Z   adding 'executorch/backends/qualcomm/passes/layout_transform.py'
2024-05-15T23:45:09.0091232Z   adding 'executorch/backends/qualcomm/passes/recompose_pixel_shuffle.py'
2024-05-15T23:45:09.0092446Z   adding 'executorch/backends/qualcomm/passes/reduce_dynamic_range.py'
2024-05-15T23:45:09.0093360Z   adding 'executorch/backends/qualcomm/passes/remove_clone.py'
2024-05-15T23:45:09.0094075Z   adding 'executorch/backends/qualcomm/passes/replace_inf_buffer.py'
2024-05-15T23:45:09.0094909Z   adding 'executorch/backends/qualcomm/passes/utils.py'
2024-05-15T23:45:09.0095562Z   adding 'executorch/backends/qualcomm/quantizer/quantizer.py'
2024-05-15T23:45:09.0096213Z   adding 'executorch/backends/qualcomm/quantizer/utils.py'
2024-05-15T23:45:09.0097146Z   adding 'executorch/backends/qualcomm/serialization/qnn_compile_spec_schema.py'
2024-05-15T23:45:09.0098076Z   adding 'executorch/backends/qualcomm/serialization/qnn_compile_spec_serialize.py'
2024-05-15T23:45:09.0099060Z   adding 'executorch/backends/qualcomm/serialization/schema.fbs'
2024-05-15T23:45:09.0099816Z   adding 'executorch/backends/qualcomm/tests/models.py'
2024-05-15T23:45:09.0100489Z   adding 'executorch/backends/qualcomm/tests/test_qnn_delegate.py'
2024-05-15T23:45:09.0101239Z   adding 'executorch/backends/qualcomm/tests/utils.py'
2024-05-15T23:45:09.0101910Z   adding 'executorch/backends/qualcomm/utils/utils.py'
2024-05-15T23:45:09.0102532Z   adding 'executorch/backends/transforms/__init__.py'
2024-05-15T23:45:09.0103233Z   adding 'executorch/backends/transforms/addmm_mm_to_linear.py'
2024-05-15T23:45:09.0104056Z   adding 'executorch/backends/transforms/duplicate_dynamic_quant_chain.py'
2024-05-15T23:45:09.0105056Z   adding 'executorch/backends/transforms/test/test_duplicate_dynamic_quant_chain.py'
2024-05-15T23:45:09.0105932Z   adding 'executorch/backends/vulkan/__init__.py'
2024-05-15T23:45:09.0106568Z   adding 'executorch/backends/vulkan/vulkan_preprocess.py'
2024-05-15T23:45:09.0107520Z   adding 'executorch/backends/vulkan/partitioner/vulkan_partitioner.py'
2024-05-15T23:45:09.0108360Z   adding 'executorch/backends/vulkan/runtime/api/gen_vulkan_spv.py'
2024-05-15T23:45:09.0109230Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/binary_op.yaml'
2024-05-15T23:45:09.0110215Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/clone.yaml'
2024-05-15T23:45:09.0111103Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv1d.yaml'
2024-05-15T23:45:09.0111991Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d.yaml'
2024-05-15T23:45:09.0112889Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw.yaml'
2024-05-15T23:45:09.0113878Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_output_tile.yaml'
2024-05-15T23:45:09.0114983Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_dw_prepack_weights.yaml'
2024-05-15T23:45:09.0116137Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_prepack_weights.yaml'
2024-05-15T23:45:09.0117161Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv2d_pw.yaml'
2024-05-15T23:45:09.0118171Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d.yaml'
2024-05-15T23:45:09.0119239Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/conv_transpose2d_prepack_weights.yaml'
2024-05-15T23:45:09.0120442Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_channel_offset.yaml'
2024-05-15T23:45:09.0121556Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/copy_offset.yaml'
2024-05-15T23:45:09.0122378Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/full.yaml'
2024-05-15T23:45:09.0123294Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/image_to_nchw.yaml'
2024-05-15T23:45:09.0124266Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_naive.yaml'
2024-05-15T23:45:09.0125179Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/matmul_optimized.yaml'
2024-05-15T23:45:09.0126081Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/max_pool2d.yaml'
2024-05-15T23:45:09.0126983Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/native_layer_norm.yaml'
2024-05-15T23:45:09.0127892Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/nchw_to_image.yaml'
2024-05-15T23:45:09.0128718Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/no_op.yaml'
2024-05-15T23:45:09.0129526Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/permute.yaml'
2024-05-15T23:45:09.0130395Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/repeat_channel.yaml'
2024-05-15T23:45:09.0131301Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_batch_4d.yaml'
2024-05-15T23:45:09.0132306Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_3d.yaml'
2024-05-15T23:45:09.0133341Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_channel_4d.yaml'
2024-05-15T23:45:09.0134361Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_3d.yaml'
2024-05-15T23:45:09.0135381Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_height_4d.yaml'
2024-05-15T23:45:09.0136373Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_3d.yaml'
2024-05-15T23:45:09.0137386Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/select_width_4d.yaml'
2024-05-15T23:45:09.0138358Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_batch_height_width.yaml'
2024-05-15T23:45:09.0139396Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/slice_channel.yaml'
2024-05-15T23:45:09.0140463Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_batch_height_width.yaml'
2024-05-15T23:45:09.0141447Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/softmax_channel.yaml'
2024-05-15T23:45:09.0142311Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim.yaml'
2024-05-15T23:45:09.0143177Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/sum_dim_keepdim.yaml'
2024-05-15T23:45:09.0144247Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/unary_op.yaml'
2024-05-15T23:45:09.0145141Z   adding 'executorch/backends/vulkan/runtime/graph/ops/glsl/view.yaml'
2024-05-15T23:45:09.0145872Z   adding 'executorch/backends/vulkan/serialization/schema.fbs'
2024-05-15T23:45:09.0146835Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_builder.py'
2024-05-15T23:45:09.0147786Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_schema.py'
2024-05-15T23:45:09.0148648Z   adding 'executorch/backends/vulkan/serialization/vulkan_graph_serialize.py'
2024-05-15T23:45:09.0149441Z   adding 'executorch/backends/vulkan/test/test_serialization.py'
2024-05-15T23:45:09.0150257Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate.py'
2024-05-15T23:45:09.0151145Z   adding 'executorch/backends/vulkan/test/test_vulkan_delegate_header.py'
2024-05-15T23:45:09.0151965Z   adding 'executorch/backends/vulkan/test/glsl/all_shaders.yaml'
2024-05-15T23:45:09.0152800Z   adding 'executorch/backends/vulkan/test/op_tests/cases.py'
2024-05-15T23:45:09.0153531Z   adding 'executorch/backends/vulkan/test/op_tests/generate_op_tests.py'
2024-05-15T23:45:09.0154386Z   adding 'executorch/backends/vulkan/test/op_tests/utils/codegen.py'
2024-05-15T23:45:09.0155271Z   adding 'executorch/backends/vulkan/test/op_tests/utils/codegen_base.py'
2024-05-15T23:45:09.0156256Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/apiconventions.py'
2024-05-15T23:45:09.0157437Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/cgenerator.py'
2024-05-15T23:45:09.0158435Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/conventions.py'
2024-05-15T23:45:09.0159528Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/generator.py'
2024-05-15T23:45:09.0160586Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/genvk.py'
2024-05-15T23:45:09.0161729Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/reg.py'
2024-05-15T23:45:09.0162705Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/vkconventions.py'
2024-05-15T23:45:09.0163855Z   adding 'executorch/backends/vulkan/third-party/Vulkan-Headers/registry/spec_tools/util.py'
2024-05-15T23:45:09.0165022Z   adding 'executorch/backends/vulkan/third-party/VulkanMemoryAllocator/tools/GpuMemDumpVis/GpuMemDumpVis.py'
2024-05-15T23:45:09.0166046Z   adding 'executorch/backends/vulkan/third-party/volk/generate.py'
2024-05-15T23:45:09.0166730Z   adding 'executorch/backends/xnnpack/__init__.py'
2024-05-15T23:45:09.0167512Z   adding 'executorch/backends/xnnpack/xnnpack_preprocess.py'
2024-05-15T23:45:09.0168241Z   adding 'executorch/backends/xnnpack/operators/__init__.py'
2024-05-15T23:45:09.0168973Z   adding 'executorch/backends/xnnpack/operators/node_visitor.py'
2024-05-15T23:45:09.0169659Z   adding 'executorch/backends/xnnpack/operators/op_abs.py'
2024-05-15T23:45:09.0170308Z   adding 'executorch/backends/xnnpack/operators/op_add.py'
2024-05-15T23:45:09.0171046Z   adding 'executorch/backends/xnnpack/operators/op_addmm.py'
2024-05-15T23:45:09.0171847Z   adding 'executorch/backends/xnnpack/operators/op_avg_pooling2d.py'
2024-05-15T23:45:09.0172551Z   adding 'executorch/backends/xnnpack/operators/op_cat.py'
2024-05-15T23:45:09.0173218Z   adding 'executorch/backends/xnnpack/operators/op_ceiling.py'
2024-05-15T23:45:09.0174007Z   adding 'executorch/backends/xnnpack/operators/op_clamp.py'
2024-05-15T23:45:09.0174771Z   adding 'executorch/backends/xnnpack/operators/op_conv2d.py'
2024-05-15T23:45:09.0175540Z   adding 'executorch/backends/xnnpack/operators/op_dequantize_per_tensor.py'
2024-05-15T23:45:09.0176360Z   adding 'executorch/backends/xnnpack/operators/op_div.py'
2024-05-15T23:45:09.0177209Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_dequantize_ops.py'
2024-05-15T23:45:09.0178077Z   adding 'executorch/backends/xnnpack/operators/op_dynamic_quantize_ops.py'
2024-05-15T23:45:09.0178916Z   adding 'executorch/backends/xnnpack/operators/op_elu.py'
2024-05-15T23:45:09.0179572Z   adding 'executorch/backends/xnnpack/operators/op_floor.py'
2024-05-15T23:45:09.0180357Z   adding 'executorch/backends/xnnpack/operators/op_hardswish.py'
2024-05-15T23:45:09.0181149Z   adding 'executorch/backends/xnnpack/operators/op_hardtanh.py'
2024-05-15T23:45:09.0181973Z   adding 'executorch/backends/xnnpack/operators/op_leaky_relu.py'
2024-05-15T23:45:09.0182685Z   adding 'executorch/backends/xnnpack/operators/op_linear.py'
2024-05-15T23:45:09.0183461Z   adding 'executorch/backends/xnnpack/operators/op_matrix_multiplication.py'
2024-05-15T23:45:09.0184227Z   adding 'executorch/backends/xnnpack/operators/op_max_dim.py'
2024-05-15T23:45:09.0185024Z   adding 'executorch/backends/xnnpack/operators/op_max_pool2d.py'
2024-05-15T23:45:09.0185779Z   adding 'executorch/backends/xnnpack/operators/op_maximum.py'
2024-05-15T23:45:09.0186509Z   adding 'executorch/backends/xnnpack/operators/op_mean_dim.py'
2024-05-15T23:45:09.0187350Z   adding 'executorch/backends/xnnpack/operators/op_minimum.py'
2024-05-15T23:45:09.0188132Z   adding 'executorch/backends/xnnpack/operators/op_multiply.py'
2024-05-15T23:45:09.0188885Z   adding 'executorch/backends/xnnpack/operators/op_negate.py'
2024-05-15T23:45:09.0189607Z   adding 'executorch/backends/xnnpack/operators/op_permute.py'
2024-05-15T23:45:09.0370659Z   adding 'executorch/backends/xnnpack/operators/op_prelu.py'
2024-05-15T23:45:09.0371760Z   adding 'executorch/backends/xnnpack/operators/op_quantize_per_tensor.py'
2024-05-15T23:45:09.0372753Z   adding 'executorch/backends/xnnpack/operators/op_relu.py'
2024-05-15T23:45:09.0373626Z   adding 'executorch/backends/xnnpack/operators/op_sdpa.py'
2024-05-15T23:45:09.0374495Z   adding 'executorch/backends/xnnpack/operators/op_sigmoid.py'
2024-05-15T23:45:09.0375196Z   adding 'executorch/backends/xnnpack/operators/op_skip_ops.py'
2024-05-15T23:45:09.0375982Z   adding 'executorch/backends/xnnpack/operators/op_slice_copy.py'
2024-05-15T23:45:09.0376812Z   adding 'executorch/backends/xnnpack/operators/op_softmax.py'
2024-05-15T23:45:09.0377542Z   adding 'executorch/backends/xnnpack/operators/op_square.py'
2024-05-15T23:45:09.0378340Z   adding 'executorch/backends/xnnpack/operators/op_square_root.py'
2024-05-15T23:45:09.0379122Z   adding 'executorch/backends/xnnpack/operators/op_squeeze.py'
2024-05-15T23:45:09.0380015Z   adding 'executorch/backends/xnnpack/operators/op_static_constant_pad.py'
2024-05-15T23:45:09.0380974Z   adding 'executorch/backends/xnnpack/operators/op_static_resize_bilinear_2d.py'
2024-05-15T23:45:09.0381842Z   adding 'executorch/backends/xnnpack/operators/op_sub.py'
2024-05-15T23:45:09.0382570Z   adding 'executorch/backends/xnnpack/operators/op_to_copy.py'
2024-05-15T23:45:09.0383363Z   adding 'executorch/backends/xnnpack/operators/quant_params.py'
2024-05-15T23:45:09.0384109Z   adding 'executorch/backends/xnnpack/partition/configs.py'
2024-05-15T23:45:09.0384917Z   adding 'executorch/backends/xnnpack/partition/xnnpack_partitioner.py'
2024-05-15T23:45:09.0385796Z   adding 'executorch/backends/xnnpack/partition/graphs/bilinear_2d.py'
2024-05-15T23:45:09.0386665Z   adding 'executorch/backends/xnnpack/partition/graphs/sdpa.py'
2024-05-15T23:45:09.0387411Z   adding 'executorch/backends/xnnpack/passes/__init__.py'
2024-05-15T23:45:09.0388292Z   adding 'executorch/backends/xnnpack/passes/channels_last_tagged_reshape_pass.py'
2024-05-15T23:45:09.0389237Z   adding 'executorch/backends/xnnpack/passes/conv1d_unsqueeze_pass.py'
2024-05-15T23:45:09.0390075Z   adding 'executorch/backends/xnnpack/passes/convert_to_linear.py'
2024-05-15T23:45:09.0390892Z   adding 'executorch/backends/xnnpack/passes/convert_to_sdpa.py'
2024-05-15T23:45:09.0391775Z   adding 'executorch/backends/xnnpack/passes/convert_to_upsample_bilinear2d.py'
2024-05-15T23:45:09.0392726Z   adding 'executorch/backends/xnnpack/passes/fuse_activation_pass.py'
2024-05-15T23:45:09.0393607Z   adding 'executorch/backends/xnnpack/passes/fuse_batch_norm_with_conv.py'
2024-05-15T23:45:09.0394618Z   adding 'executorch/backends/xnnpack/passes/prelu_reshape_pass.py'
2024-05-15T23:45:09.0394949Z   adding 'executorch/backends/xnnpack/passes/remove_getitem_op.py'
2024-05-15T23:45:09.0395374Z   adding 'executorch/backends/xnnpack/passes/tag_implicit_q_dq_pass.py'
2024-05-15T23:45:09.0395769Z   adding 'executorch/backends/xnnpack/passes/xnnpack_pass.py'
2024-05-15T23:45:09.0396181Z   adding 'executorch/backends/xnnpack/serialization/runtime_schema.fbs'
2024-05-15T23:45:09.0396503Z   adding 'executorch/backends/xnnpack/serialization/schema.fbs'
2024-05-15T23:45:09.0396915Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_schema.py'
2024-05-15T23:45:09.0397479Z   adding 'executorch/backends/xnnpack/serialization/xnnpack_graph_serialize.py'
2024-05-15T23:45:09.0397855Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils.py'
2024-05-15T23:45:09.0398246Z   adding 'executorch/backends/xnnpack/test/test_xnnpack_utils_classes.py'
2024-05-15T23:45:09.0398591Z   adding 'executorch/backends/xnnpack/test/models/deeplab_v3.py'
2024-05-15T23:45:09.0399008Z   adding 'executorch/backends/xnnpack/test/models/edsr.py'
2024-05-15T23:45:09.0399340Z   adding 'executorch/backends/xnnpack/test/models/emformer_rnnt.py'
2024-05-15T23:45:09.0399661Z   adding 'executorch/backends/xnnpack/test/models/inception_v3.py'
2024-05-15T23:45:09.0399998Z   adding 'executorch/backends/xnnpack/test/models/inception_v4.py'
2024-05-15T23:45:09.0400418Z   adding 'executorch/backends/xnnpack/test/models/llama2_et_example.py'
2024-05-15T23:45:09.0400727Z   adding 'executorch/backends/xnnpack/test/models/mobilebert.py'
2024-05-15T23:45:09.0401303Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v2.py'
2024-05-15T23:45:09.0401645Z   adding 'executorch/backends/xnnpack/test/models/mobilenet_v3.py'
2024-05-15T23:45:09.0401975Z   adding 'executorch/backends/xnnpack/test/models/resnet.py'
2024-05-15T23:45:09.0402352Z   adding 'executorch/backends/xnnpack/test/models/torchvision_vit.py'
2024-05-15T23:45:09.0402686Z   adding 'executorch/backends/xnnpack/test/models/very_big_model.py'
2024-05-15T23:45:09.0403030Z   adding 'executorch/backends/xnnpack/test/models/w2l.py'
2024-05-15T23:45:09.0403287Z   adding 'executorch/backends/xnnpack/test/ops/abs.py'
2024-05-15T23:45:09.0403553Z   adding 'executorch/backends/xnnpack/test/ops/add.py'
2024-05-15T23:45:09.0403904Z   adding 'executorch/backends/xnnpack/test/ops/avgpool2d.py'
2024-05-15T23:45:09.0404194Z   adding 'executorch/backends/xnnpack/test/ops/bilinear2d.py'
2024-05-15T23:45:09.0404469Z   adding 'executorch/backends/xnnpack/test/ops/cat.py'
2024-05-15T23:45:09.0404783Z   adding 'executorch/backends/xnnpack/test/ops/ceil.py'
2024-05-15T23:45:09.0405056Z   adding 'executorch/backends/xnnpack/test/ops/clamp.py'
2024-05-15T23:45:09.0405385Z   adding 'executorch/backends/xnnpack/test/ops/conv1d.py'
2024-05-15T23:45:09.0405655Z   adding 'executorch/backends/xnnpack/test/ops/conv2d.py'
2024-05-15T23:45:09.0405895Z   adding 'executorch/backends/xnnpack/test/ops/div.py'
2024-05-15T23:45:09.0406229Z   adding 'executorch/backends/xnnpack/test/ops/elu.py'
2024-05-15T23:45:09.0406517Z   adding 'executorch/backends/xnnpack/test/ops/floor.py'
2024-05-15T23:45:09.0406871Z   adding 'executorch/backends/xnnpack/test/ops/hardswish.py'
2024-05-15T23:45:09.0407157Z   adding 'executorch/backends/xnnpack/test/ops/hardtanh.py'
2024-05-15T23:45:09.0407456Z   adding 'executorch/backends/xnnpack/test/ops/leaky_relu.py'
2024-05-15T23:45:09.0407800Z   adding 'executorch/backends/xnnpack/test/ops/linear.py'
2024-05-15T23:45:09.0408092Z   adding 'executorch/backends/xnnpack/test/ops/max_dim.py'
2024-05-15T23:45:09.0408418Z   adding 'executorch/backends/xnnpack/test/ops/maximum.py'
2024-05-15T23:45:09.0408707Z   adding 'executorch/backends/xnnpack/test/ops/maxpool2d.py'
2024-05-15T23:45:09.0409002Z   adding 'executorch/backends/xnnpack/test/ops/mean_dim.py'
2024-05-15T23:45:09.0409333Z   adding 'executorch/backends/xnnpack/test/ops/minimum.py'
2024-05-15T23:45:09.0409739Z   adding 'executorch/backends/xnnpack/test/ops/multiply.py'
2024-05-15T23:45:09.0410059Z   adding 'executorch/backends/xnnpack/test/ops/negate.py'
2024-05-15T23:45:09.0410325Z   adding 'executorch/backends/xnnpack/test/ops/permute.py'
2024-05-15T23:45:09.0410595Z   adding 'executorch/backends/xnnpack/test/ops/pow.py'
2024-05-15T23:45:09.0411002Z   adding 'executorch/backends/xnnpack/test/ops/prelu.py'
2024-05-15T23:45:09.0411393Z   adding 'executorch/backends/xnnpack/test/ops/quantize_per_tensor.py'
2024-05-15T23:45:09.0411692Z   adding 'executorch/backends/xnnpack/test/ops/relu.py'
2024-05-15T23:45:09.0411940Z   adding 'executorch/backends/xnnpack/test/ops/sdpa.py'
2024-05-15T23:45:09.0412240Z   adding 'executorch/backends/xnnpack/test/ops/sigmoid.py'
2024-05-15T23:45:09.0412586Z   adding 'executorch/backends/xnnpack/test/ops/slice_copy.py'
2024-05-15T23:45:09.0412899Z   adding 'executorch/backends/xnnpack/test/ops/softmax.py'
2024-05-15T23:45:09.0413179Z   adding 'executorch/backends/xnnpack/test/ops/sqrt.py'
2024-05-15T23:45:09.0413530Z   adding 'executorch/backends/xnnpack/test/ops/square.py'
2024-05-15T23:45:09.0413957Z   adding 'executorch/backends/xnnpack/test/ops/static_constant_pad.py'
2024-05-15T23:45:09.0414217Z   adding 'executorch/backends/xnnpack/test/ops/sub.py'
2024-05-15T23:45:09.0414677Z   adding 'executorch/backends/xnnpack/test/passes/test_activation_fusion.py'
2024-05-15T23:45:09.0415070Z   adding 'executorch/backends/xnnpack/test/passes/test_batch_norm_fusion.py'
2024-05-15T23:45:09.0415616Z   adding 'executorch/backends/xnnpack/test/passes/test_channels_last_tagged_reshape.py'
2024-05-15T23:45:09.0416061Z   adding 'executorch/backends/xnnpack/test/passes/test_convert_to_linear.py'
2024-05-15T23:45:09.0416461Z   adding 'executorch/backends/xnnpack/test/passes/test_remove_get_item_pass.py'
2024-05-15T23:45:09.0416942Z   adding 'executorch/backends/xnnpack/test/passes/test_tag_implicit_q_dq_pass.py'
2024-05-15T23:45:09.0417360Z   adding 'executorch/backends/xnnpack/test/serialization/test_serialization.py'
2024-05-15T23:45:09.0417822Z   adding 'executorch/backends/xnnpack/test/serialization/test_xnnheader.py'
2024-05-15T23:45:09.0418112Z   adding 'executorch/backends/xnnpack/test/tester/__init__.py'
2024-05-15T23:45:09.0418457Z   adding 'executorch/backends/xnnpack/test/tester/tester.py'
2024-05-15T23:45:09.0418896Z   adding 'executorch/backends/xnnpack/third-party/generate-cpuinfo-wrappers.py'
2024-05-15T23:45:09.0419366Z   adding 'executorch/backends/xnnpack/third-party/generate-xnnpack-wrappers.py'
2024-05-15T23:45:09.0419703Z   adding 'executorch/backends/xnnpack/third-party/FP16/configure.py'
2024-05-15T23:45:09.0420106Z   adding 'executorch/backends/xnnpack/third-party/FP16/confu.yaml'
2024-05-15T23:45:09.0420536Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/__init__.py'
2024-05-15T23:45:09.0420950Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx.py'
2024-05-15T23:45:09.0421349Z   adding 'executorch/backends/xnnpack/third-party/FP16/include/fp16/avx2.py'
2024-05-15T23:45:09.0421813Z   adding 'executorch/backends/xnnpack/third-party/FP16/test/peachpy/stubs.py'
2024-05-15T23:45:09.0422220Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/configure.py'
2024-05-15T23:45:09.0422582Z   adding 'executorch/backends/xnnpack/third-party/FXdiv/confu.yaml'
2024-05-15T23:45:09.0423070Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/eval/f16-tanh.yaml'
2024-05-15T23:45:09.0423474Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/eval/f32-tanh.yaml'
2024-05-15T23:45:09.0424030Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/convert-assembly-to-jit.py'
2024-05-15T23:45:09.0424505Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/scripts/sort-filenames.py'
2024-05-15T23:45:09.0425047Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/src/enums/microkernel-type.yaml'
2024-05-15T23:45:09.0425512Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/src/enums/node-type.yaml'
2024-05-15T23:45:09.0426161Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/src/enums/operator-type.yaml'
2024-05-15T23:45:09.0426655Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/bf16-gemm-minmax.yaml'
2024-05-15T23:45:09.0427066Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-bfly4.yaml'
2024-05-15T23:45:09.0427586Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-fftr.yaml'
2024-05-15T23:45:09.0428038Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/cs16-vsquareabs.yaml'
2024-05-15T23:45:09.0428550Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-avgpool-minmax.yaml'
2024-05-15T23:45:09.0429013Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-conv-hwc2chw.yaml'
2024-05-15T23:45:09.0429596Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-multipass.yaml'
2024-05-15T23:45:09.0525002Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv-minmax-unipass.yaml'
2024-05-15T23:45:09.0525685Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-dwconv2d-chw.yaml'
2024-05-15T23:45:09.0526338Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32-vcvt.yaml'
2024-05-15T23:45:09.0526815Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-gemm-minmax.yaml'
2024-05-15T23:45:09.0527385Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-igemm-minmax.yaml'
2024-05-15T23:45:09.0527814Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-f32acc-rsum.yaml'
2024-05-15T23:45:09.0528321Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-cw.yaml'
2024-05-15T23:45:09.0528788Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gavgpool-minmax.yaml'
2024-05-15T23:45:09.0529287Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-jit.yaml'
2024-05-15T23:45:09.0529779Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-gemm-minmax.yaml'
2024-05-15T23:45:09.0530237Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear-chw.yaml'
2024-05-15T23:45:09.0530735Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-ibilinear.yaml'
2024-05-15T23:45:09.0531217Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-jit.yaml'
2024-05-15T23:45:09.0531666Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-igemm-minmax.yaml'
2024-05-15T23:45:09.0532189Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-maxpool-minmax.yaml'
2024-05-15T23:45:09.0532721Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-pavgpool-minmax.yaml'
2024-05-15T23:45:09.0533110Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-prelu.yaml'
2024-05-15T23:45:09.0533581Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-qs8-vcvt.yaml'
2024-05-15T23:45:09.0534127Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-raddstoreexpminusmax.yaml'
2024-05-15T23:45:09.0534556Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmax.yaml'
2024-05-15T23:45:09.0534953Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rmin.yaml'
2024-05-15T23:45:09.0535430Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rminmax.yaml'
2024-05-15T23:45:09.0535886Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-rsum.yaml'
2024-05-15T23:45:09.0536315Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-spmm-minmax.yaml'
2024-05-15T23:45:09.0536780Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vabs.yaml'
2024-05-15T23:45:09.0537261Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vadd-minmax.yaml'
2024-05-15T23:45:09.0537706Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vaddc-minmax.yaml'
2024-05-15T23:45:09.0538163Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vclamp.yaml'
2024-05-15T23:45:09.0538677Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vcmul.yaml'
2024-05-15T23:45:09.0539166Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdiv-minmax.yaml'
2024-05-15T23:45:09.0539640Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vdivc-minmax.yaml'
2024-05-15T23:45:09.0540144Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-velu.yaml'
2024-05-15T23:45:09.0540640Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vhswish.yaml'
2024-05-15T23:45:09.0541034Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vlrelu.yaml'
2024-05-15T23:45:09.0541505Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmax.yaml'
2024-05-15T23:45:09.0541957Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmaxc.yaml'
2024-05-15T23:45:09.0542334Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmin.yaml'
2024-05-15T23:45:09.0542802Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vminc.yaml'
2024-05-15T23:45:09.0543397Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmul-minmax.yaml'
2024-05-15T23:45:09.0543879Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulc-minmax.yaml'
2024-05-15T23:45:09.0544450Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vmulcaddc-minmax.yaml'
2024-05-15T23:45:09.0544864Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vneg.yaml'
2024-05-15T23:45:09.0545344Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrdivc-minmax.yaml'
2024-05-15T23:45:09.0545766Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndd.yaml'
2024-05-15T23:45:09.0546196Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndne.yaml'
2024-05-15T23:45:09.0546652Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndu.yaml'
2024-05-15T23:45:09.0547035Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrndz.yaml'
2024-05-15T23:45:09.0547557Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vrsubc-minmax.yaml'
2024-05-15T23:45:09.0548042Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsigmoid.yaml'
2024-05-15T23:45:09.0548422Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqr.yaml'
2024-05-15T23:45:09.0548904Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiff.yaml'
2024-05-15T23:45:09.0549369Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrdiffc.yaml'
2024-05-15T23:45:09.0549786Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsqrt.yaml'
2024-05-15T23:45:09.0550255Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsub-minmax.yaml'
2024-05-15T23:45:09.0550727Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vsubc-minmax.yaml'
2024-05-15T23:45:09.0551175Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f16-vtanh.yaml'
2024-05-15T23:45:09.0551611Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-argmaxpool.yaml'
2024-05-15T23:45:09.0552133Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-avgpool-minmax.yaml'
2024-05-15T23:45:09.0552609Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc.yaml'
2024-05-15T23:45:09.0553050Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-conv-hwc2chw.yaml'
2024-05-15T23:45:09.0553646Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-multipass.yaml'
2024-05-15T23:45:09.0554214Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-minmax-unipass.yaml'
2024-05-15T23:45:09.0554699Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-multipass.yaml'
2024-05-15T23:45:09.0555198Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv-unipass.yaml'
2024-05-15T23:45:09.0555701Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-dwconv2d-chw.yaml'
2024-05-15T23:45:09.0556198Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-f16-vcvt.yaml'
2024-05-15T23:45:09.0556697Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-cw.yaml'
2024-05-15T23:45:09.0557227Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gavgpool-minmax.yaml'
2024-05-15T23:45:09.0557950Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-goi-minmax.yaml'
2024-05-15T23:45:09.0558379Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-jit.yaml'
2024-05-15T23:45:09.0558873Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-minmax.yaml'
2024-05-15T23:45:09.0559291Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm-relu.yaml'
2024-05-15T23:45:09.0559757Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemm.yaml'
2024-05-15T23:45:09.0560246Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-gemminc-minmax.yaml'
2024-05-15T23:45:09.0560759Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear-chw.yaml'
2024-05-15T23:45:09.0561433Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ibilinear.yaml'
2024-05-15T23:45:09.0561883Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-jit.yaml'
2024-05-15T23:45:09.0562364Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-minmax.yaml'
2024-05-15T23:45:09.0562840Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm-relu.yaml'
2024-05-15T23:45:09.0563253Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-igemm.yaml'
2024-05-15T23:45:09.0563768Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-maxpool-minmax.yaml'
2024-05-15T23:45:09.0564237Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-pavgpool-minmax.yaml'
2024-05-15T23:45:09.0564724Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-ppmm-minmax.yaml'
2024-05-15T23:45:09.0565213Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-prelu.yaml'
2024-05-15T23:45:09.0565670Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc4w-gemm-minmax.yaml'
2024-05-15T23:45:09.0566212Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-minmax.yaml'
2024-05-15T23:45:09.0566727Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm-relu.yaml'
2024-05-15T23:45:09.0567141Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qc8w-gemm.yaml'
2024-05-15T23:45:09.0567629Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qs8-vcvt.yaml'
2024-05-15T23:45:09.0568098Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-qu8-vcvt.yaml'
2024-05-15T23:45:09.0568558Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddexpminusmax.yaml'
2024-05-15T23:45:09.0569056Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddextexp.yaml'
2024-05-15T23:45:09.0569627Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-raddstoreexpminusmax.yaml'
2024-05-15T23:45:09.0570018Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmax.yaml'
2024-05-15T23:45:09.0570444Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rmin.yaml'
2024-05-15T23:45:09.0570896Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rminmax.yaml'
2024-05-15T23:45:09.0571340Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-rsum.yaml'
2024-05-15T23:45:09.0571786Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-spmm-minmax.yaml'
2024-05-15T23:45:09.0688689Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vabs.yaml'
2024-05-15T23:45:09.0689570Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd-minmax.yaml'
2024-05-15T23:45:09.0690330Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd-relu.yaml'
2024-05-15T23:45:09.0691239Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vadd.yaml'
2024-05-15T23:45:09.0692047Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-minmax.yaml'
2024-05-15T23:45:09.0692835Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc-relu.yaml'
2024-05-15T23:45:09.0693768Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vaddc.yaml'
2024-05-15T23:45:09.0694474Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vclamp.yaml'
2024-05-15T23:45:09.0695235Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vcmul.yaml'
2024-05-15T23:45:09.0695988Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-minmax.yaml'
2024-05-15T23:45:09.0696796Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv-relu.yaml'
2024-05-15T23:45:09.0697444Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdiv.yaml'
2024-05-15T23:45:09.0698164Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-minmax.yaml'
2024-05-15T23:45:09.0698962Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc-relu.yaml'
2024-05-15T23:45:09.0699642Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vdivc.yaml'
2024-05-15T23:45:09.0700284Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-velu.yaml'
2024-05-15T23:45:09.0700925Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vhswish.yaml'
2024-05-15T23:45:09.0701576Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vlrelu.yaml'
2024-05-15T23:45:09.0702200Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmax.yaml'
2024-05-15T23:45:09.0702836Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmaxc.yaml'
2024-05-15T23:45:09.0703467Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmin.yaml'
2024-05-15T23:45:09.0704095Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vminc.yaml'
2024-05-15T23:45:09.0704819Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul-minmax.yaml'
2024-05-15T23:45:09.0705515Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul-relu.yaml'
2024-05-15T23:45:09.0706171Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmul.yaml'
2024-05-15T23:45:09.0706881Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-minmax.yaml'
2024-05-15T23:45:09.0707539Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc-relu.yaml'
2024-05-15T23:45:09.0708185Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulc.yaml'
2024-05-15T23:45:09.0708927Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vmulcaddc-minmax.yaml'
2024-05-15T23:45:09.0709565Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vneg.yaml'
2024-05-15T23:45:09.0710291Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-minmax.yaml'
2024-05-15T23:45:09.0710990Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc-relu.yaml'
2024-05-15T23:45:09.0711652Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrdivc.yaml'
2024-05-15T23:45:09.0712262Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrelu.yaml'
2024-05-15T23:45:09.0712899Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndd.yaml'
2024-05-15T23:45:09.0713547Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndne.yaml'
2024-05-15T23:45:09.0714141Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndu.yaml'
2024-05-15T23:45:09.0714780Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrndz.yaml'
2024-05-15T23:45:09.0715397Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsqrt.yaml'
2024-05-15T23:45:09.0716120Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-minmax.yaml'
2024-05-15T23:45:09.0716911Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc-relu.yaml'
2024-05-15T23:45:09.0717652Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vrsubc.yaml'
2024-05-15T23:45:09.0718429Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleexpminusmax.yaml'
2024-05-15T23:45:09.0719248Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vscaleextexp.yaml'
2024-05-15T23:45:09.0719942Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsigmoid.yaml'
2024-05-15T23:45:09.0720549Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqr.yaml'
2024-05-15T23:45:09.0721509Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiff.yaml'
2024-05-15T23:45:09.0722184Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrdiffc.yaml'
2024-05-15T23:45:09.0722831Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsqrt.yaml'
2024-05-15T23:45:09.0723649Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub-minmax.yaml'
2024-05-15T23:45:09.0724305Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub-relu.yaml'
2024-05-15T23:45:09.0724950Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsub.yaml'
2024-05-15T23:45:09.0725642Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-minmax.yaml'
2024-05-15T23:45:09.0726333Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc-relu.yaml'
2024-05-15T23:45:09.0726982Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vsubc.yaml'
2024-05-15T23:45:09.0727601Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/f32-vtanh.yaml'
2024-05-15T23:45:09.0728283Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/i16-vlshift.yaml'
2024-05-15T23:45:09.0729047Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc4w-gemm-minmax.yaml'
2024-05-15T23:45:09.0729854Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-gemm-minmax.yaml'
2024-05-15T23:45:09.0730648Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f16-qc8w-igemm-minmax.yaml'
2024-05-15T23:45:09.0731447Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc4w-gemm-minmax.yaml'
2024-05-15T23:45:09.0732222Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-gemm-minmax.yaml'
2024-05-15T23:45:09.0733049Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qd8-f32-qc8w-igemm-minmax.yaml'
2024-05-15T23:45:09.0733703Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs16-qs8-vcvt.yaml'
2024-05-15T23:45:09.0734611Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-fp32.yaml'
2024-05-15T23:45:09.0735492Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-multipass-rndnu.yaml'
2024-05-15T23:45:09.0736377Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-fp32.yaml'
2024-05-15T23:45:09.0737264Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-dwconv-minmax-unipass-rndnu.yaml'
2024-05-15T23:45:09.0737936Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-f16-vcvt.yaml'
2024-05-15T23:45:09.0738602Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-f32-vcvt.yaml'
2024-05-15T23:45:09.0739408Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-fp32.yaml'
2024-05-15T23:45:09.0740206Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-gavgpool-minmax-rndnu.yaml'
2024-05-15T23:45:09.0741166Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-multipass-fp32.yaml'
2024-05-15T23:45:09.0742114Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-dwconv-minmax-unipass-fp32.yaml'
2024-05-15T23:45:09.0742860Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-jit-fp32.yaml'
2024-05-15T23:45:09.0743823Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-gemm-minmax-fp32.yaml'
2024-05-15T23:45:09.0744572Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-jit-fp32.yaml'
2024-05-15T23:45:09.0745550Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-qc8w-igemm-minmax-fp32.yaml'
2024-05-15T23:45:09.0746231Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vadd-minmax.yaml'
2024-05-15T23:45:09.0746951Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vaddc-minmax.yaml'
2024-05-15T23:45:09.0747561Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vcvt.yaml'
2024-05-15T23:45:09.0748216Z   adding 'executorch/backends/xnnpack/third-party/XNNPACK/test/qs8-vhswish.yaml'
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2024-05-15T23:45:09.3907927Z   adding 'executorch/examples/models/llama2/source_transformation/quantize.py'
2024-05-15T23:45:09.3908522Z   adding 'executorch/examples/models/llama2/source_transformation/rope.py'
2024-05-15T23:45:09.3909108Z   adding 'executorch/examples/models/llama2/source_transformation/sdpa.py'
2024-05-15T23:45:09.3909574Z   adding 'executorch/examples/models/llama2/tests/test_simple_sdpa.py'
2024-05-15T23:45:09.3909987Z   adding 'executorch/examples/models/llama2/third-party/abseil-cpp/conanfile.py'
2024-05-15T23:45:09.3910421Z   adding 'executorch/examples/models/llama2/third-party/abseil-cpp/create_lts.py'
2024-05-15T23:45:09.3911204Z   adding 'executorch/examples/models/llama2/third-party/abseil-cpp/absl/abseil.podspec.gen.py'
2024-05-15T23:45:09.3911933Z   adding 'executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts/copts.py'
2024-05-15T23:45:09.3912650Z   adding 'executorch/examples/models/llama2/third-party/abseil-cpp/absl/copts/generate_copts.py'
2024-05-15T23:45:09.3913329Z   adding 'executorch/examples/models/llama2/third-party/re2/benchlog/benchplot.py'
2024-05-15T23:45:09.3913926Z   adding 'executorch/examples/models/llama2/third-party/re2/python/re2.py'
2024-05-15T23:45:09.3914464Z   adding 'executorch/examples/models/llama2/third-party/re2/python/re2_test.py'
2024-05-15T23:45:09.3914856Z   adding 'executorch/examples/models/llama2/third-party/re2/python/setup.py'
2024-05-15T23:45:09.3915522Z   adding 'executorch/examples/models/llama2/third-party/re2/re2/make_unicode_casefold.py'
2024-05-15T23:45:09.3916249Z   adding 'executorch/examples/models/llama2/third-party/re2/re2/make_unicode_groups.py'
2024-05-15T23:45:09.3916816Z   adding 'executorch/examples/models/llama2/third-party/re2/re2/unicode.py'
2024-05-15T23:45:09.3917169Z   adding 'executorch/examples/models/llama2/tokenizer/__init__.py'
2024-05-15T23:45:09.3917638Z   adding 'executorch/examples/models/llama2/tokenizer/tiktoken.py'
2024-05-15T23:45:09.3918120Z   adding 'executorch/examples/models/llama2/tokenizer/tokenizer.py'
2024-05-15T23:45:09.3918793Z   adding 'executorch/examples/models/llama2/tokenizer/test/__init__.py'
2024-05-15T23:45:09.3919401Z   adding 'executorch/examples/models/llama2/tokenizer/test/test_tokenizer.py'
2024-05-15T23:45:09.3919796Z   adding 'executorch/examples/models/llava_encoder/__init__.py'
2024-05-15T23:45:09.3920207Z   adding 'executorch/examples/models/llava_encoder/model.py'
2024-05-15T23:45:09.3920657Z   adding 'executorch/examples/models/mobilebert/__init__.py'
2024-05-15T23:45:09.3921382Z   adding 'executorch/examples/models/mobilebert/model.py'
2024-05-15T23:45:09.3921868Z   adding 'executorch/examples/models/mobilenet_v2/__init__.py'
2024-05-15T23:45:09.3922283Z   adding 'executorch/examples/models/mobilenet_v2/model.py'
2024-05-15T23:45:09.3922597Z   adding 'executorch/examples/models/mobilenet_v3/__init__.py'
2024-05-15T23:45:09.3922864Z   adding 'executorch/examples/models/mobilenet_v3/model.py'
2024-05-15T23:45:09.3923115Z   adding 'executorch/examples/models/resnet/__init__.py'
2024-05-15T23:45:09.3923451Z   adding 'executorch/examples/models/resnet/model.py'
2024-05-15T23:45:09.3923755Z   adding 'executorch/examples/models/torchvision_vit/__init__.py'
2024-05-15T23:45:09.3924037Z   adding 'executorch/examples/models/torchvision_vit/model.py'
2024-05-15T23:45:09.3924306Z   adding 'executorch/examples/models/toy_model/__init__.py'
2024-05-15T23:45:09.3924565Z   adding 'executorch/examples/models/toy_model/model.py'
2024-05-15T23:45:09.3924903Z   adding 'executorch/examples/models/wav2letter/__init__.py'
2024-05-15T23:45:09.3925331Z   adding 'executorch/examples/models/wav2letter/model.py'
2024-05-15T23:45:09.3925627Z   adding 'executorch/exir/__init__.py'
2024-05-15T23:45:09.3925917Z   adding 'executorch/exir/common.py'
2024-05-15T23:45:09.3926241Z   adding 'executorch/exir/control_flow.py'
2024-05-15T23:45:09.3926524Z   adding 'executorch/exir/delegate.py'
2024-05-15T23:45:09.3926871Z   adding 'executorch/exir/dim_order_utils.py'
2024-05-15T23:45:09.3927202Z   adding 'executorch/exir/dynamic_shape.py'
2024-05-15T23:45:09.3927493Z   adding 'executorch/exir/error.py'
2024-05-15T23:45:09.3927780Z   adding 'executorch/exir/graph.py'
2024-05-15T23:45:09.3928096Z   adding 'executorch/exir/graph_module.py'
2024-05-15T23:45:09.3928457Z   adding 'executorch/exir/lowered_backend_module.py'
2024-05-15T23:45:09.3928649Z   adding 'executorch/exir/memory.py'
2024-05-15T23:45:09.3928863Z   adding 'executorch/exir/memory_planning.py'
2024-05-15T23:45:09.3929043Z   adding 'executorch/exir/pass_base.py'
2024-05-15T23:45:09.3929282Z   adding 'executorch/exir/pass_manager.py'
2024-05-15T23:45:09.3929581Z   adding 'executorch/exir/print_program.py'
2024-05-15T23:45:09.3929892Z   adding 'executorch/exir/scalar_type.py'
2024-05-15T23:45:09.3930183Z   adding 'executorch/exir/schema.py'
2024-05-15T23:45:09.3930474Z   adding 'executorch/exir/sym_util.py'
2024-05-15T23:45:09.3930757Z   adding 'executorch/exir/tensor.py'
2024-05-15T23:45:09.3931033Z   adding 'executorch/exir/tracer.py'
2024-05-15T23:45:09.3931319Z   adding 'executorch/exir/types.py'
2024-05-15T23:45:09.3931612Z   adding 'executorch/exir/version.py'
2024-05-15T23:45:09.3931902Z   adding 'executorch/exir/wrap.py'
2024-05-15T23:45:09.3932261Z   adding 'executorch/exir/_serialize/__init__.py'
2024-05-15T23:45:09.3932601Z   adding 'executorch/exir/_serialize/_cord.py'
2024-05-15T23:45:09.3932924Z   adding 'executorch/exir/_serialize/_dataclass.py'
2024-05-15T23:45:09.3933250Z   adding 'executorch/exir/_serialize/_flatbuffer.py'
2024-05-15T23:45:09.3933621Z   adding 'executorch/exir/_serialize/_program.py'
2024-05-15T23:45:09.3933978Z   adding 'executorch/exir/_serialize/program.fbs'
2024-05-15T23:45:09.3934368Z   adding 'executorch/exir/_serialize/scalar_type.fbs'
2024-05-15T23:45:09.3934772Z   adding 'executorch/exir/_serialize/test/test_cord.py'
2024-05-15T23:45:09.3935156Z   adding 'executorch/exir/_serialize/test/test_flatbuffer.py'
2024-05-15T23:45:09.3935425Z   adding 'executorch/exir/_serialize/test/test_program.py'
2024-05-15T23:45:09.3935752Z   adding 'executorch/exir/backend/backend_api.py'
2024-05-15T23:45:09.3935993Z   adding 'executorch/exir/backend/backend_details.py'
2024-05-15T23:45:09.3936281Z   adding 'executorch/exir/backend/compile_spec_schema.py'
2024-05-15T23:45:09.3936633Z   adding 'executorch/exir/backend/partitioner.py'
2024-05-15T23:45:09.3936956Z   adding 'executorch/exir/backend/utils.py'
2024-05-15T23:45:09.3937827Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_constant_node_pass.py'
2024-05-15T23:45:09.3938545Z   adding 'executorch/exir/backend/canonical_partitioners/duplicate_dequant_node_pass.py'
2024-05-15T23:45:09.3939244Z   adding 'executorch/exir/backend/canonical_partitioners/pattern_op_partitioner.py'
2024-05-15T23:45:09.3939777Z   adding 'executorch/exir/backend/test/backend_with_compiler_demo.py'
2024-05-15T23:45:09.3940275Z   adding 'executorch/exir/backend/test/backend_with_delegate_mapping_demo.py'
2024-05-15T23:45:09.9849969Z   adding 'executorch/exir/backend/test/hta_partitioner_demo.py'
2024-05-15T23:45:09.9851151Z   adding 'executorch/exir/backend/test/op_partitioner_demo.py'
2024-05-15T23:45:09.9851932Z   adding 'executorch/exir/backend/test/qnn_backend_demo.py'
2024-05-15T23:45:09.9852559Z   adding 'executorch/exir/backend/test/test_backends.py'
2024-05-15T23:45:09.9853216Z   adding 'executorch/exir/backend/test/test_backends_lifted.py'
2024-05-15T23:45:09.9853909Z   adding 'executorch/exir/backend/test/test_backends_nested.py'
2024-05-15T23:45:09.9854595Z   adding 'executorch/exir/backend/test/test_debug_handle_map.py'
2024-05-15T23:45:09.9855321Z   adding 'executorch/exir/backend/test/test_delegate_map_builder.py'
2024-05-15T23:45:09.9856038Z   adding 'executorch/exir/backend/test/test_graph_partition.py'
2024-05-15T23:45:09.9856764Z   adding 'executorch/exir/backend/test/test_lowered_backend_module.py'
2024-05-15T23:45:09.9857478Z   adding 'executorch/exir/backend/test/test_partitioner.py'
2024-05-15T23:45:09.9858100Z   adding 'executorch/exir/backend/test/test_passes.py'
2024-05-15T23:45:09.9858702Z   adding 'executorch/exir/backend/test/test_utils.py'
2024-05-15T23:45:09.9859392Z   adding 'executorch/exir/backend/test/demos/test_delegate_aten_mode.py'
2024-05-15T23:45:09.9860173Z   adding 'executorch/exir/backend/test/demos/test_xnnpack_qnnpack.py'
2024-05-15T23:45:09.9861024Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_partitioner.py'
2024-05-15T23:45:09.9861933Z   adding 'executorch/exir/backend/test/demos/rpc/executor_backend_preprocess.py'
2024-05-15T23:45:09.9862720Z   adding 'executorch/exir/backend/test/demos/rpc/test_rpc.py'
2024-05-15T23:45:09.9863314Z   adding 'executorch/exir/capture/__init__.py'
2024-05-15T23:45:09.9863831Z   adding 'executorch/exir/capture/_capture.py'
2024-05-15T23:45:09.9864355Z   adding 'executorch/exir/capture/_config.py'
2024-05-15T23:45:09.9864871Z   adding 'executorch/exir/capture/_unlift.py'
2024-05-15T23:45:09.9865385Z   adding 'executorch/exir/dialects/__init__.py'
2024-05-15T23:45:09.9865947Z   adding 'executorch/exir/dialects/_ops.py'
2024-05-15T23:45:09.9866483Z   adding 'executorch/exir/dialects/backend/_ops.py'
2024-05-15T23:45:09.9867136Z   adding 'executorch/exir/dialects/backend/test/test_backend_ops.py'
2024-05-15T23:45:09.9867775Z   adding 'executorch/exir/dialects/edge/_ops.py'
2024-05-15T23:45:09.9868319Z   adding 'executorch/exir/dialects/edge/edge.yaml'
2024-05-15T23:45:09.9868897Z   adding 'executorch/exir/dialects/edge/arg/model.py'
2024-05-15T23:45:09.9869487Z   adding 'executorch/exir/dialects/edge/arg/type.py'
2024-05-15T23:45:09.9870090Z   adding 'executorch/exir/dialects/edge/dtype/runner.py'
2024-05-15T23:45:09.9870722Z   adding 'executorch/exir/dialects/edge/dtype/supported.py'
2024-05-15T23:45:09.9871340Z   adding 'executorch/exir/dialects/edge/dtype/utils.py'
2024-05-15T23:45:09.9871917Z   adding 'executorch/exir/dialects/edge/op/api.py'
2024-05-15T23:45:09.9872519Z   adding 'executorch/exir/dialects/edge/op/sample_input.py'
2024-05-15T23:45:09.9873168Z   adding 'executorch/exir/dialects/edge/op/test/test_api.py'
2024-05-15T23:45:09.9873875Z   adding 'executorch/exir/dialects/edge/spec/gen.py'
2024-05-15T23:45:09.9874459Z   adding 'executorch/exir/dialects/edge/spec/utils.py'
2024-05-15T23:45:09.9875088Z   adding 'executorch/exir/dialects/edge/test/test_edge_ops.py'
2024-05-15T23:45:09.9875767Z   adding 'executorch/exir/dialects/edge/test/test_edge_yaml.py'
2024-05-15T23:45:09.9876536Z   adding 'executorch/exir/dialects/test/test_exir_dialect_ops.py'
2024-05-15T23:45:09.9877136Z   adding 'executorch/exir/emit/__init__.py'
2024-05-15T23:45:09.9877757Z   adding 'executorch/exir/emit/_emit_program.py'
2024-05-15T23:45:09.9878275Z   adding 'executorch/exir/emit/_emitter.py'
2024-05-15T23:45:09.9880281Z   adding 'executorch/exir/emit/test/test_emit.py'
2024-05-15T23:45:09.9881107Z   adding 'executorch/exir/operator/convert.py'
2024-05-15T23:45:09.9881633Z   adding 'executorch/exir/operator/manip.py'
2024-05-15T23:45:09.9882129Z   adding 'executorch/exir/operator/util.py'
2024-05-15T23:45:09.9882703Z   adding 'executorch/exir/operator/test/test_operator.py'
2024-05-15T23:45:09.9883327Z   adding 'executorch/exir/passes/__init__.py'
2024-05-15T23:45:09.9883964Z   adding 'executorch/exir/passes/_quant_patterns_and_replacements.py'
2024-05-15T23:45:09.9884640Z   adding 'executorch/exir/passes/const_prop_pass.py'
2024-05-15T23:45:09.9885245Z   adding 'executorch/exir/passes/constant_prop_pass.py'
2024-05-15T23:45:09.9885901Z   adding 'executorch/exir/passes/debug_handle_generator_pass.py'
2024-05-15T23:45:09.9886569Z   adding 'executorch/exir/passes/dim_order_ops_registry.py'
2024-05-15T23:45:09.9887227Z   adding 'executorch/exir/passes/dynamic_shape_prop_pass.py'
2024-05-15T23:45:09.9887923Z   adding 'executorch/exir/passes/executorch_prim_ops_registry.py'
2024-05-15T23:45:09.9888665Z   adding 'executorch/exir/passes/insert_write_back_for_buffers_pass.py'
2024-05-15T23:45:09.9889375Z   adding 'executorch/exir/passes/memory_format_ops_pass.py'
2024-05-15T23:45:09.9890013Z   adding 'executorch/exir/passes/memory_planning_pass.py'
2024-05-15T23:45:09.9890660Z   adding 'executorch/exir/passes/normalize_transpose_pass.py'
2024-05-15T23:45:09.9891359Z   adding 'executorch/exir/passes/normalize_view_copy_base_pass.py'
2024-05-15T23:45:09.9892002Z   adding 'executorch/exir/passes/pass_registry.py'
2024-05-15T23:45:09.9892576Z   adding 'executorch/exir/passes/quant_fusion_pass.py'
2024-05-15T23:45:09.9893216Z   adding 'executorch/exir/passes/remove_graph_asserts_pass.py'
2024-05-15T23:45:09.9893910Z   adding 'executorch/exir/passes/remove_mixed_type_operators.py'
2024-05-15T23:45:09.9894552Z   adding 'executorch/exir/passes/remove_noop_pass.py'
2024-05-15T23:45:09.9895197Z   adding 'executorch/exir/passes/replace_aten_with_edge_pass.py'
2024-05-15T23:45:09.9896035Z   adding 'executorch/exir/passes/replace_broken_ops_with_function_ops_pass.py'
2024-05-15T23:45:09.9896829Z   adding 'executorch/exir/passes/replace_edge_with_backend_pass.py'
2024-05-15T23:45:09.9897521Z   adding 'executorch/exir/passes/replace_sym_size_op_pass.py'
2024-05-15T23:45:09.9898241Z   adding 'executorch/exir/passes/replace_view_copy_with_view_pass.py'
2024-05-15T23:45:09.9898936Z   adding 'executorch/exir/passes/scalar_to_tensor_pass.py'
2024-05-15T23:45:09.9899523Z   adding 'executorch/exir/passes/spec_prop_pass.py'
2024-05-15T23:45:09.9900123Z   adding 'executorch/exir/passes/sym_shape_eval_pass.py'
2024-05-15T23:45:09.9900741Z   adding 'executorch/exir/passes/sym_to_tensor_pass.py'
2024-05-15T23:45:09.9901297Z   adding 'executorch/exir/program/__init__.py'
2024-05-15T23:45:09.9901838Z   adding 'executorch/exir/program/_fake_program.py'
2024-05-15T23:45:09.9902384Z   adding 'executorch/exir/program/_program.py'
2024-05-15T23:45:09.9902973Z   adding 'executorch/exir/program/test/test_fake_program.py'
2024-05-15T23:45:09.9903602Z   adding 'executorch/exir/program/test/test_program.py'
2024-05-15T23:45:09.9904156Z   adding 'executorch/exir/serde/__init__.py'
2024-05-15T23:45:09.9904696Z   adding 'executorch/exir/serde/export_serialize.py'
2024-05-15T23:45:09.9905335Z   adding 'executorch/exir/serde/schema.py'
2024-05-15T23:45:09.9905845Z   adding 'executorch/exir/serde/serialize.py'
2024-05-15T23:45:09.9906359Z   adding 'executorch/exir/tests/asr_joiner.py'
2024-05-15T23:45:09.9906858Z   adding 'executorch/exir/tests/common.py'
2024-05-15T23:45:09.9907403Z   adding 'executorch/exir/tests/control_flow_models.py'
2024-05-15T23:45:09.9908064Z   adding 'executorch/exir/tests/dynamic_shape_models.py'
2024-05-15T23:45:09.9908616Z   adding 'executorch/exir/tests/models.py'
2024-05-15T23:45:09.9919900Z   adding 'executorch/exir/tests/test_arg_validator.py'
2024-05-15T23:45:09.9920541Z   adding 'executorch/exir/tests/test_capture.py'
2024-05-15T23:45:09.9921213Z   adding 'executorch/exir/tests/test_common.py'
2024-05-15T23:45:09.9921753Z   adding 'executorch/exir/tests/test_delegate.py'
2024-05-15T23:45:09.9922336Z   adding 'executorch/exir/tests/test_dim_order_utils.py'
2024-05-15T23:45:09.9923015Z   adding 'executorch/exir/tests/test_dynamic_shape_propagation.py'
2024-05-15T23:45:09.9923741Z   adding 'executorch/exir/tests/test_error.py'
2024-05-15T23:45:09.9924346Z   adding 'executorch/exir/tests/test_memory_format_ops_pass.py'
2024-05-15T23:45:09.9924996Z   adding 'executorch/exir/tests/test_memory_planning.py'
2024-05-15T23:45:09.9925575Z   adding 'executorch/exir/tests/test_op_convert.py'
2024-05-15T23:45:09.9926147Z   adding 'executorch/exir/tests/test_pass_infra.py'
2024-05-15T23:45:09.9926696Z   adding 'executorch/exir/tests/test_passes.py'
2024-05-15T23:45:09.9927252Z   adding 'executorch/exir/tests/test_print_program.py'
2024-05-15T23:45:09.9927869Z   adding 'executorch/exir/tests/test_quant_fusion_pass.py'
2024-05-15T23:45:09.9928479Z   adding 'executorch/exir/tests/test_quantization.py'
2024-05-15T23:45:09.9929087Z   adding 'executorch/exir/tests/test_remove_view_copy.py'
2024-05-15T23:45:09.9929658Z   adding 'executorch/exir/tests/test_serde.py'
2024-05-15T23:45:09.9930184Z   adding 'executorch/exir/tests/test_tensor.py'
2024-05-15T23:45:09.9930707Z   adding 'executorch/exir/tests/test_tracer.py'
2024-05-15T23:45:09.9931254Z   adding 'executorch/exir/tests/test_verification.py'
2024-05-15T23:45:09.9931812Z   adding 'executorch/exir/tests/transformer.py'
2024-05-15T23:45:09.9932371Z   adding 'executorch/exir/verification/arg_validator.py'
2024-05-15T23:45:09.9932940Z   adding 'executorch/exir/verification/dev_html.py'
2024-05-15T23:45:09.9933516Z   adding 'executorch/exir/verification/interpreter.py'
2024-05-15T23:45:09.9934083Z   adding 'executorch/exir/verification/verifier.py'
2024-05-15T23:45:09.9934690Z   adding 'executorch/exir/verification/test/test_verifier.py'
2024-05-15T23:45:09.9935326Z   adding 'executorch/extension/gguf_util/convert_main.py'
2024-05-15T23:45:09.9935928Z   adding 'executorch/extension/gguf_util/converter.py'
2024-05-15T23:45:09.9936511Z   adding 'executorch/extension/gguf_util/load_gguf.py'
2024-05-15T23:45:09.9937200Z   adding 'executorch/extension/gguf_util/converters/llama_converter.py'
2024-05-15T23:45:09.9938077Z   adding 'executorch/extension/pybindings/_portable_lib.cpython-311-x86_64-linux-gnu.so'
2024-05-15T23:45:09.9938869Z   adding 'executorch/extension/pybindings/portable_lib.py'
2024-05-15T23:45:09.9939520Z   adding 'executorch/extension/pybindings/test/make_test.py'
2024-05-15T23:45:09.9940216Z   adding 'executorch/extension/pybindings/test/test_pybindings.py'
2024-05-15T23:45:09.9940861Z   adding 'executorch/extension/pytree/__init__.py'
2024-05-15T23:45:09.9941413Z   adding 'executorch/extension/pytree/test/test.py'
2024-05-15T23:45:09.9941936Z   adding 'executorch/schema/program.fbs'
2024-05-15T23:45:09.9942434Z   adding 'executorch/schema/scalar_type.fbs'
2024-05-15T23:45:09.9942915Z   adding 'executorch/sdk/__init__.py'
2024-05-15T23:45:09.9943422Z   adding 'executorch/sdk/bundled_program/config.py'
2024-05-15T23:45:09.9943977Z   adding 'executorch/sdk/bundled_program/core.py'
2024-05-15T23:45:09.9944535Z   adding 'executorch/sdk/bundled_program/version.py'
2024-05-15T23:45:09.9945152Z   adding 'executorch/sdk/bundled_program/schema/__init__.py'
2024-05-15T23:45:09.9945959Z   adding 'executorch/sdk/bundled_program/schema/bundled_program_schema.fbs'
2024-05-15T23:45:09.9946762Z   adding 'executorch/sdk/bundled_program/schema/bundled_program_schema.py'
2024-05-15T23:45:09.9947511Z   adding 'executorch/sdk/bundled_program/schema/scalar_type.fbs'
2024-05-15T23:45:09.9948298Z   adding 'executorch/sdk/bundled_program/schema/test/test_schema.py'
2024-05-15T23:45:09.9949007Z   adding 'executorch/sdk/bundled_program/serialize/__init__.py'
2024-05-15T23:45:09.9949780Z   adding 'executorch/sdk/bundled_program/serialize/bundled_program_schema.fbs'
2024-05-15T23:45:09.9950569Z   adding 'executorch/sdk/bundled_program/serialize/scalar_type.fbs'
2024-05-15T23:45:09.9951331Z   adding 'executorch/sdk/bundled_program/serialize/test/test_serialize.py'
2024-05-15T23:45:09.9952087Z   adding 'executorch/sdk/bundled_program/test/test_bundle_data.py'
2024-05-15T23:45:09.9952779Z   adding 'executorch/sdk/bundled_program/test/test_config.py'
2024-05-15T23:45:13.7796029Z   adding 'executorch/sdk/bundled_program/test/test_end2end.py'
2024-05-15T23:45:13.7797356Z   adding 'executorch/sdk/bundled_program/util/test_util.py'
2024-05-15T23:45:13.7798176Z   adding 'executorch/sdk/debug_format/base_schema.py'
2024-05-15T23:45:13.7798860Z   adding 'executorch/sdk/debug_format/et_schema.py'
2024-05-15T23:45:13.7799707Z   adding 'executorch/sdk/etdump/etdump_schema_flatcc.fbs'
2024-05-15T23:45:13.7800570Z   adding 'executorch/sdk/etdump/scalar_type.fbs'
2024-05-15T23:45:13.7801568Z   adding 'executorch/sdk/etdump/schema_flatcc.py'
2024-05-15T23:45:13.7802134Z   adding 'executorch/sdk/etdump/serialize.py'
2024-05-15T23:45:13.7802716Z   adding 'executorch/sdk/etdump/tests/serialize_test.py'
2024-05-15T23:45:13.7803284Z   adding 'executorch/sdk/etrecord/__init__.py'
2024-05-15T23:45:13.7803823Z   adding 'executorch/sdk/etrecord/_etrecord.py'
2024-05-15T23:45:13.7804407Z   adding 'executorch/sdk/etrecord/tests/etrecord_test.py'
2024-05-15T23:45:13.7804982Z   adding 'executorch/sdk/inspector/__init__.py'
2024-05-15T23:45:13.7805545Z   adding 'executorch/sdk/inspector/_inspector.py'
2024-05-15T23:45:13.7806135Z   adding 'executorch/sdk/inspector/_inspector_utils.py'
2024-05-15T23:45:13.7806734Z   adding 'executorch/sdk/inspector/inspector_cli.py'
2024-05-15T23:45:13.7807373Z   adding 'executorch/sdk/inspector/tests/event_blocks_test.py'
2024-05-15T23:45:13.7808049Z   adding 'executorch/sdk/inspector/tests/inspector_test.py'
2024-05-15T23:45:13.7808746Z   adding 'executorch/sdk/inspector/tests/inspector_utils_test.py'
2024-05-15T23:45:13.7809466Z   adding 'executorch/sdk/size_analysis_tool/size_analysis_tool.py'
2024-05-15T23:45:13.7810222Z   adding 'executorch/sdk/size_analysis_tool/size_analysis_tool_test.py'
2024-05-15T23:45:13.7810925Z   adding 'executorch/util/activation_memory_profiler.py'
2024-05-15T23:45:13.7811514Z   adding 'executorch/util/python_profiler.py'
2024-05-15T23:45:13.7812004Z   adding 'serializer/__init__.py'
2024-05-15T23:45:13.7812468Z   adding 'serializer/tosa_serializer.py'
2024-05-15T23:45:13.7813008Z   adding 'tosa/ArithmeticRightShiftAttribute.py'
2024-05-15T23:45:13.7813519Z   adding 'tosa/Attribute.py'
2024-05-15T23:45:13.7813932Z   adding 'tosa/AxisAttribute.py'
2024-05-15T23:45:13.7814361Z   adding 'tosa/ClampAttribute.py'
2024-05-15T23:45:13.7814807Z   adding 'tosa/CondIfAttribute.py'
2024-05-15T23:45:13.7815255Z   adding 'tosa/ConvAttribute.py'
2024-05-15T23:45:13.7815682Z   adding 'tosa/CustomAttribute.py'
2024-05-15T23:45:13.7816103Z   adding 'tosa/DType.py'
2024-05-15T23:45:13.7816492Z   adding 'tosa/FFTAttribute.py'
2024-05-15T23:45:13.7816946Z   adding 'tosa/FullyConnectedAttribute.py'
2024-05-15T23:45:13.7817438Z   adding 'tosa/MatMulAttribute.py'
2024-05-15T23:45:13.7817873Z   adding 'tosa/MulAttribute.py'
2024-05-15T23:45:13.7818300Z   adding 'tosa/NegateAttribute.py'
2024-05-15T23:45:13.7818713Z   adding 'tosa/Op.py'
2024-05-15T23:45:13.7820652Z   adding 'tosa/PadAttribute.py'
2024-05-15T23:45:13.7821297Z   adding 'tosa/PoolAttribute.py'
2024-05-15T23:45:13.7822015Z   adding 'tosa/RFFTAttribute.py'
2024-05-15T23:45:13.7822564Z   adding 'tosa/RescaleAttribute.py'
2024-05-15T23:45:13.7823023Z   adding 'tosa/ReshapeAttribute.py'
2024-05-15T23:45:13.7823595Z   adding 'tosa/ResizeAttribute.py'
2024-05-15T23:45:13.7824030Z   adding 'tosa/ResizeMode.py'
2024-05-15T23:45:13.7824442Z   adding 'tosa/SliceAttribute.py'
2024-05-15T23:45:13.7825027Z   adding 'tosa/TableAttribute.py'
2024-05-15T23:45:13.7825667Z   adding 'tosa/TileAttribute.py'
2024-05-15T23:45:13.7826243Z   adding 'tosa/TosaBasicBlock.py'
2024-05-15T23:45:13.7826845Z   adding 'tosa/TosaGraph.py'
2024-05-15T23:45:13.7827358Z   adding 'tosa/TosaOperator.py'
2024-05-15T23:45:13.7827830Z   adding 'tosa/TosaRegion.py'
2024-05-15T23:45:13.7828439Z   adding 'tosa/TosaTensor.py'
2024-05-15T23:45:13.7829010Z   adding 'tosa/TransposeAttribute.py'
2024-05-15T23:45:13.7829675Z   adding 'tosa/TransposeConvAttribute.py'
2024-05-15T23:45:13.7830143Z   adding 'tosa/Version.py'
2024-05-15T23:45:13.7830669Z   adding 'tosa/WhileLoopAttribute.py'
2024-05-15T23:45:13.7831282Z   adding 'tosa/__init__.py'
2024-05-15T23:45:13.7831813Z   adding 'executorch-0.3.0a0+fff20a7.dist-info/LICENSE'
2024-05-15T23:45:13.7832550Z   adding 'executorch-0.3.0a0+fff20a7.dist-info/METADATA'
2024-05-15T23:45:13.7833248Z   adding 'executorch-0.3.0a0+fff20a7.dist-info/WHEEL'
2024-05-15T23:45:13.7833998Z   adding 'executorch-0.3.0a0+fff20a7.dist-info/entry_points.txt'
2024-05-15T23:45:13.7834833Z   adding 'executorch-0.3.0a0+fff20a7.dist-info/top_level.txt'
2024-05-15T23:45:13.7835491Z   adding 'executorch-0.3.0a0+fff20a7.dist-info/RECORD'
2024-05-15T23:45:13.7836183Z   removing pip-out/bdist.linux-x86_64/wheel
2024-05-15T23:45:13.7836820Z   Building wheel for executorch (pyproject.toml) ... [?25l[?25hdone
2024-05-15T23:45:13.7838478Z   Created wheel for executorch: filename=executorch-0.3.0a0+fff20a7-cp311-cp311-linux_x86_64.whl size=7634651 sha256=7b2c0a6824b05593c906f8f3f7e25f9e3bf0778b28dd0d09902f27cd807ece13
2024-05-15T23:45:13.7840471Z   Stored in directory: /tmp/pip-ephem-wheel-cache-f8b68dqb/wheels/e9/73/cf/b35b0df9d958439bcdb9e4686e628be8ceca468170ac82a737
2024-05-15T23:45:13.7841704Z Successfully built executorch
2024-05-15T23:45:13.7843173Z Installing collected packages: sortedcontainers, flatbuffers, pluggy, parameterized, iniconfig, hypothesis, expecttest, execnet, pytest, pytest-xdist, executorch
2024-05-15T23:45:13.7844556Z   Attempting uninstall: pluggy
2024-05-15T23:45:13.7844996Z     Found existing installation: pluggy 1.0.0
2024-05-15T23:45:13.7845570Z     Uninstalling pluggy-1.0.0:
2024-05-15T23:45:13.7846359Z       Removing file or directory /opt/conda/lib/python3.11/site-packages/pluggy-1.0.0.dist-info/
2024-05-15T23:45:13.7847378Z       Removing file or directory /opt/conda/lib/python3.11/site-packages/pluggy/
2024-05-15T23:45:13.7848115Z       Successfully uninstalled pluggy-1.0.0
2024-05-15T23:45:13.7848618Z   changing mode of /opt/conda/bin/hypothesis to 755
2024-05-15T23:45:13.7849149Z   changing mode of /opt/conda/bin/py.test to 755
2024-05-15T23:45:13.7849715Z   changing mode of /opt/conda/bin/pytest to 755
2024-05-15T23:45:13.7850200Z   changing mode of /opt/conda/bin/flatc to 755
2024-05-15T23:45:13.7851859Z Successfully installed execnet-2.1.1 executorch-0.3.0a0+fff20a7 expecttest-0.2.1 flatbuffers-24.3.25 hypothesis-6.102.4 iniconfig-2.0.0 parameterized-0.9.0 pluggy-1.5.0 pytest-8.2.0 pytest-xdist-3.6.1 sortedcontainers-2.4.0
2024-05-15T23:45:13.7854400Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv
2024-05-15T23:45:13.7855967Z + pip3 list
2024-05-15T23:45:13.7856276Z Package                   Version
2024-05-15T23:45:13.7856721Z ------------------------- ----------------------
2024-05-15T23:45:13.7857182Z absl-py                   2.1.0
2024-05-15T23:45:13.7857546Z accelerate                0.30.1
2024-05-15T23:45:13.7858020Z aiohttp                   3.9.5
2024-05-15T23:45:13.7858391Z aiosignal                 1.3.1
2024-05-15T23:45:13.7858793Z anaconda-anon-usage       0.4.4
2024-05-15T23:45:13.7859208Z anaconda-client           1.12.3
2024-05-15T23:45:13.7859584Z attrs                     23.1.0
2024-05-15T23:45:13.7859945Z beautifulsoup4            4.12.2
2024-05-15T23:45:13.7860394Z blinker                   1.8.2
2024-05-15T23:45:13.7860758Z blobfile                  2.1.1
2024-05-15T23:45:13.7861113Z boltons                   23.0.0
2024-05-15T23:45:13.7861479Z brotlipy                  0.7.0
2024-05-15T23:45:13.7861843Z certifi                   2024.2.2
2024-05-15T23:45:13.7862209Z cffi                      1.15.1
2024-05-15T23:45:13.7862569Z chardet                   4.0.0
2024-05-15T23:45:13.7862971Z charset-normalizer        2.0.4
2024-05-15T23:45:13.7863336Z click                     8.1.7
2024-05-15T23:45:13.7863693Z cmake                     3.29.3
2024-05-15T23:45:13.7864052Z colorama                  0.4.6
2024-05-15T23:45:13.7864449Z conda                     23.5.2
2024-05-15T23:45:13.7864846Z conda-build               24.3.0
2024-05-15T23:45:13.7865254Z conda-content-trust       0.1.3
2024-05-15T23:45:13.7865618Z conda_index               0.4.0
2024-05-15T23:45:13.7866029Z conda-libmamba-solver     23.5.0
2024-05-15T23:45:13.7866454Z conda-package-handling    2.1.0
2024-05-15T23:45:13.7866840Z conda_package_streaming   0.8.0
2024-05-15T23:45:13.7867220Z cryptography              39.0.1
2024-05-15T23:45:13.7867598Z DataProperty              1.0.1
2024-05-15T23:45:13.7867953Z datasets                  2.19.1
2024-05-15T23:45:13.7868324Z defusedxml                0.7.1
2024-05-15T23:45:13.7868685Z dill                      0.3.8
2024-05-15T23:45:13.7869033Z evaluate                  0.4.2
2024-05-15T23:45:13.7869391Z execnet                   2.1.1
2024-05-15T23:45:13.7869769Z executorch                0.3.0a0+fff20a7
2024-05-15T23:45:13.7870172Z expecttest                0.2.1
2024-05-15T23:45:13.7870547Z fastjsonschema            2.16.2
2024-05-15T23:45:13.7870919Z filelock                  3.13.1
2024-05-15T23:45:13.7871270Z Flask                     3.0.3
2024-05-15T23:45:13.7871629Z flatbuffers               24.3.25
2024-05-15T23:45:13.7872004Z frozenlist                1.4.1
2024-05-15T23:45:13.7872361Z fsspec                    2024.3.1
2024-05-15T23:45:13.7872736Z gguf                      0.6.0
2024-05-15T23:45:13.7873137Z huggingface-hub           0.23.0
2024-05-15T23:45:13.7873503Z hypothesis                6.102.4
2024-05-15T23:45:13.7878259Z idna                      3.4
2024-05-15T23:45:13.7878795Z iniconfig                 2.0.0
2024-05-15T23:45:13.7879297Z itsdangerous              2.2.0
2024-05-15T23:45:13.7880609Z Jinja2                    3.1.3
2024-05-15T23:45:13.7881365Z joblib                    1.4.2
2024-05-15T23:45:13.7881852Z jsonlines                 4.0.0
2024-05-15T23:45:13.7882350Z jsonpatch                 1.32
2024-05-15T23:45:13.7882838Z jsonpointer               2.1
2024-05-15T23:45:13.7883323Z jsonschema                4.19.2
2024-05-15T23:45:13.7883850Z jsonschema-specifications 2023.7.1
2024-05-15T23:45:13.7884246Z jupyter_core              5.5.0
2024-05-15T23:45:13.7884635Z libarchive-c              2.9
2024-05-15T23:45:13.7884993Z libmambapy                1.4.1
2024-05-15T23:45:13.7885351Z lm_eval                   0.4.0
2024-05-15T23:45:13.7885707Z lxml                      4.9.4
2024-05-15T23:45:13.7886066Z MarkupSafe                2.1.3
2024-05-15T23:45:13.7886427Z mbstrdecoder              1.1.3
2024-05-15T23:45:13.7886784Z menuinst                  2.0.2
2024-05-15T23:45:13.7887243Z more-itertools            10.1.0
2024-05-15T23:45:13.7887615Z mpmath                    1.3.0
2024-05-15T23:45:13.7887963Z multidict                 6.0.5
2024-05-15T23:45:13.7888328Z multiprocess              0.70.16
2024-05-15T23:45:13.7888741Z nbformat                  5.9.2
2024-05-15T23:45:13.7889236Z networkx                  3.3
2024-05-15T23:45:13.7889694Z ninja                     1.11.1.1
2024-05-15T23:45:13.7890185Z nltk                      3.8.1
2024-05-15T23:45:13.7890545Z numexpr                   2.10.0
2024-05-15T23:45:13.7890905Z numpy                     1.26.4
2024-05-15T23:45:13.7891337Z nvidia-cublas-cu12        12.1.3.1
2024-05-15T23:45:13.7891770Z nvidia-cuda-cupti-cu12    12.1.105
2024-05-15T23:45:13.7892198Z nvidia-cuda-nvrtc-cu12    12.1.105
2024-05-15T23:45:13.7892698Z nvidia-cuda-runtime-cu12  12.1.105
2024-05-15T23:45:13.7893134Z nvidia-cudnn-cu12         8.9.2.26
2024-05-15T23:45:13.7893552Z nvidia-cufft-cu12         11.0.2.54
2024-05-15T23:45:13.7893989Z nvidia-curand-cu12        10.3.2.106
2024-05-15T23:45:13.7894436Z nvidia-cusolver-cu12      11.4.5.107
2024-05-15T23:45:13.7894874Z nvidia-cusparse-cu12      12.1.0.106
2024-05-15T23:45:13.7895310Z nvidia-nccl-cu12          2.20.5
2024-05-15T23:45:13.7895732Z nvidia-nvjitlink-cu12     12.4.127
2024-05-15T23:45:13.7896153Z nvidia-nvtx-cu12          12.1.105
2024-05-15T23:45:13.7896532Z packaging                 23.0
2024-05-15T23:45:13.7896963Z pandas                    2.2.2
2024-05-15T23:45:13.7897350Z parameterized             0.9.0
2024-05-15T23:45:13.7897722Z pathvalidate              3.2.0
2024-05-15T23:45:13.7898094Z peft                      0.10.0
2024-05-15T23:45:13.7898447Z pillow                    10.3.0
2024-05-15T23:45:13.7898807Z pip                       23.1.2
2024-05-15T23:45:13.7899169Z pkginfo                   1.9.6
2024-05-15T23:45:13.7899525Z platformdirs              3.10.0
2024-05-15T23:45:13.7899889Z pluggy                    1.5.0
2024-05-15T23:45:13.7900250Z portalocker               2.8.2
2024-05-15T23:45:13.7900606Z psutil                    5.9.0
2024-05-15T23:45:13.7900966Z pyarrow                   16.1.0
2024-05-15T23:45:13.7901369Z pyarrow-hotfix            0.6
2024-05-15T23:45:13.7901722Z pybind11                  2.12.0
2024-05-15T23:45:13.7902081Z pycosat                   0.6.4
2024-05-15T23:45:13.7902453Z pycparser                 2.21
2024-05-15T23:45:13.7902812Z pycryptodomex             3.20.0
2024-05-15T23:45:13.7903193Z pyOpenSSL                 23.0.0
2024-05-15T23:45:13.7903556Z PySocks                   1.7.1
2024-05-15T23:45:13.7903914Z pytablewriter             1.2.0
2024-05-15T23:45:13.7904275Z pytest                    8.2.0
2024-05-15T23:45:13.7904672Z pytest-xdist              3.6.1
2024-05-15T23:45:13.7905072Z python-dateutil           2.8.2
2024-05-15T23:45:13.7905457Z pytz                      2023.3.post1
2024-05-15T23:45:13.7905851Z PyYAML                    6.0.1
2024-05-15T23:45:13.7906208Z referencing               0.30.2
2024-05-15T23:45:13.7906574Z regex                     2024.5.15
2024-05-15T23:46:15.8415342Z requests                  2.29.0
2024-05-15T23:46:15.8416011Z requests-toolbelt         1.0.0
2024-05-15T23:46:15.8416495Z rouge-score               0.1.2
2024-05-15T23:46:15.8416959Z rpds-py                   0.10.6
2024-05-15T23:46:15.8417385Z ruamel.yaml               0.17.21
2024-05-15T23:46:15.8417782Z sacrebleu                 2.4.2
2024-05-15T23:46:15.8418310Z safetensors               0.4.3
2024-05-15T23:46:15.8418924Z scikit-learn              1.4.2
2024-05-15T23:46:15.8419450Z scipy                     1.13.0
2024-05-15T23:46:15.8419953Z sentencepiece             0.2.0
2024-05-15T23:46:15.8420414Z setuptools                67.8.0
2024-05-15T23:46:15.8420914Z six                       1.16.0
2024-05-15T23:46:15.8421413Z snakeviz                  2.2.0
2024-05-15T23:46:15.8421858Z sortedcontainers          2.4.0
2024-05-15T23:46:15.8422325Z soupsieve                 2.5
2024-05-15T23:46:15.8423111Z sqlitedict                2.1.0
2024-05-15T23:46:15.8423634Z sympy                     1.12
2024-05-15T23:46:15.8424116Z tabledata                 1.3.3
2024-05-15T23:46:15.8424644Z tabulate                  0.9.0
2024-05-15T23:46:15.8425043Z tcolorpy                  0.1.6
2024-05-15T23:46:15.8425410Z threadpoolctl             3.5.0
2024-05-15T23:46:15.8425782Z tiktoken                  0.7.0
2024-05-15T23:46:15.8426150Z timm                      0.6.13
2024-05-15T23:46:15.8426776Z tokenizers                0.15.2
2024-05-15T23:46:15.8427145Z tomli                     2.0.1
2024-05-15T23:46:15.8429073Z toolz                     0.12.0
2024-05-15T23:46:15.8429640Z torch                     2.4.0.dev20240507+cpu
2024-05-15T23:46:15.8430222Z torchao                   0.1
2024-05-15T23:46:15.8430926Z torchaudio                2.2.0.dev20240507+cpu
2024-05-15T23:46:15.8431453Z torchsr                   1.0.4
2024-05-15T23:46:15.8431877Z torchvision               0.19.0.dev20240507+cpu
2024-05-15T23:46:15.8432363Z tornado                   6.4
2024-05-15T23:46:15.8432811Z tqdm                      4.65.0
2024-05-15T23:46:15.8433384Z tqdm-multiprocess         0.0.11
2024-05-15T23:46:15.8433859Z traitlets                 5.7.1
2024-05-15T23:46:15.8434237Z transformers              4.38.2
2024-05-15T23:46:15.8434650Z triton                    2.3.0
2024-05-15T23:46:15.8435019Z typepy                    1.3.2
2024-05-15T23:46:15.8435435Z typing_extensions         4.11.0
2024-05-15T23:46:15.8435923Z tzdata                    2024.1
2024-05-15T23:46:15.8436347Z urllib3                   1.26.16
2024-05-15T23:46:15.8436729Z Werkzeug                  3.0.3
2024-05-15T23:46:15.8437134Z wheel                     0.38.4
2024-05-15T23:46:15.8437495Z xxhash                    3.4.1
2024-05-15T23:46:15.8438021Z yarl                      1.9.4
2024-05-15T23:46:15.8438387Z zstandard                 0.19.0
2024-05-15T23:46:15.8438796Z zstd                      1.5.5.1
2024-05-15T23:46:15.8439154Z + popd
2024-05-15T23:46:15.8439459Z /pytorch/torchchat /pytorch/torchchat
2024-05-15T23:46:15.8439909Z + popd
2024-05-15T23:46:15.8442724Z /pytorch/torchchat
2024-05-15T23:46:15.8443218Z + echo ::endgroup::
2024-05-15T23:46:15.8444826Z ##[endgroup]
2024-05-15T23:46:15.8445394Z + echo '::group::## Introduction'
2024-05-15T23:46:15.8446066Z ##[group]## Introduction
2024-05-15T23:46:15.8446394Z + echo ::endgroup::
2024-05-15T23:46:15.8446891Z ##[endgroup]
2024-05-15T23:46:15.8447321Z + echo '::group::## Supported Quantization Schemes'
2024-05-15T23:46:15.8448031Z ##[group]## Supported Quantization Schemes
2024-05-15T23:46:15.8448450Z + echo ::endgroup::
2024-05-15T23:46:15.8448944Z ##[endgroup]
2024-05-15T23:46:15.8449325Z + echo '::group::## Quantization Profiles'
2024-05-15T23:46:15.8449972Z ##[group]## Quantization Profiles
2024-05-15T23:46:15.8450354Z + echo ::endgroup::
2024-05-15T23:46:15.8450857Z ##[endgroup]
2024-05-15T23:46:15.8451220Z + echo '::group::## Quantization API'
2024-05-15T23:46:15.8451824Z ##[group]## Quantization API
2024-05-15T23:46:15.8452173Z + echo ::endgroup::
2024-05-15T23:46:15.8452673Z ##[endgroup]
2024-05-15T23:46:15.8453020Z + echo '::group::## Examples'
2024-05-15T23:46:15.8453571Z ##[group]## Examples
2024-05-15T23:46:15.8453873Z + false
2024-05-15T23:46:15.8454745Z + python3 generate.py stories15M --prompt 'Hello, my name is' --quantize '{"embedding" : {"bitwidth": 8, "groupsize": 0}}' --device cpu
2024-05-15T23:46:15.8458337Z Downloading https://huggingface.co/karpathy/tinyllamas/resolve/main/stories15M.pt...
2024-05-15T23:46:15.8459419Z Downloading https://github.com/karpathy/llama2.c/raw/master/tokenizer.model...
2024-05-15T23:46:15.8460055Z Using device=cpu AMD EPYC 7R32
2024-05-15T23:46:15.8460427Z Loading model...
2024-05-15T23:46:15.8460748Z Time to load model: 0.02 seconds
2024-05-15T23:46:15.8461387Z Quantizing the model with: {'embedding': {'bitwidth': 8, 'groupsize': 0}}
2024-05-15T23:46:15.8461985Z Time to quantize model: 0.03 seconds
2024-05-15T23:46:15.8462543Z Hello, my name is Amanda. He loves to go out and explore the world.
2024-05-15T23:46:15.8463759Z One day, Amanda was walking in the woods with his mommy. He was looking for something fun to do. He spotted something yellow and soft - a woolly blanket!
2024-05-15T23:46:15.8464943Z Amanda ran over and picked up the blanket. When he showed it to his mom, she smiled.
2024-05-15T23:46:15.8465583Z "Oh, as lucky," she said.
2024-05-15T23:46:15.8466180Z Mommy and Amanda went back to the house to find a blanket that was just right for them.
2024-05-15T23:46:15.8467500Z When Amanda's mommy said, "Look over there! It looks like there's something even better than the twinkles we've gottenten."
2024-05-15T23:46:15.8468540Z The girls smiled and put the blanket on the floor. Suddenly, they heard a voice.
2024-05-15T23:46:15.8469647Z "You have made the right choice," said the voice. It was Amanda's daddy. He had known that the blanket
2024-05-15T23:46:15.8470443Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:46:15.8470992Z ---------------------------------------------------
2024-05-15T23:46:15.8472873Z Time for inference 1: 3.14 sec total, 63.63 tokens/sec
2024-05-15T23:46:15.8474325Z Bandwidth achieved: 2.52 GB/s
2024-05-15T23:46:15.8475210Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:46:15.8475857Z 
2024-05-15T23:46:15.8475984Z ========================================
2024-05-15T23:46:15.8476264Z 
2024-05-15T23:46:15.8476394Z Average tokens/sec: 63.63
2024-05-15T23:46:15.8476849Z Memory used: 0.00 GB
2024-05-15T23:46:15.8477971Z + python3 torchchat.py export stories15M --quantize '{"embedding": {"bitwidth": 4, "groupsize":32}, "linear:int4": {"groupsize" : 256}}' --output-dso-path stories15M.so
2024-05-15T23:46:15.8479226Z Note: NumExpr detected 16 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
2024-05-15T23:46:15.8479918Z NumExpr defaulting to 8 threads.
2024-05-15T23:46:15.8480279Z Using device=cpu
2024-05-15T23:46:15.8480576Z Loading model...
2024-05-15T23:46:15.8481201Z Time to load model: 0.02 seconds
2024-05-15T23:46:15.8482230Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 32}, 'linear:int4': {'groupsize': 256}}
2024-05-15T23:46:15.8483127Z warning: wq is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8484648Z warning: wk is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8485443Z warning: wv is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8486215Z warning: wo is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8486873Z warning: w1 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8487622Z warning: w3 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8488186Z warning: wq is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8488762Z warning: wk is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8489330Z warning: wv is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8489885Z warning: wo is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8490453Z warning: w1 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8491018Z warning: w3 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8491572Z warning: wq is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8492144Z warning: wk is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8492707Z warning: wv is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8493270Z warning: wo is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8493834Z warning: w1 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8494395Z warning: w3 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8494951Z warning: wq is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8495548Z warning: wk is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8496114Z warning: wv is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8496675Z warning: wo is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8497226Z warning: w1 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8497789Z warning: w3 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8498357Z warning: wq is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8498915Z warning: wk is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8499476Z warning: wv is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8500152Z warning: wo is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8500704Z warning: w1 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8501265Z warning: w3 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8501824Z warning: wq is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8502475Z warning: wk is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8503046Z warning: wv is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8503606Z warning: wo is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8504161Z warning: w1 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8504729Z warning: w3 is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8505315Z warning: output is padded to satisfy in_features % 1024 == 0
2024-05-15T23:46:15.8505840Z Time to quantize model: 0.26 seconds
2024-05-15T23:46:15.8506405Z Exporting model using AOT Inductor to /pytorch/torchchat/stories15M.so
2024-05-15T23:46:15.8507213Z The generated DSO model can be found at: /pytorch/torchchat/stories15M.so
2024-05-15T23:46:15.8508124Z + python3 generate.py stories15M --dso-path stories15M.so --prompt 'Hello my name is'
2024-05-15T23:46:15.8508970Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:46:15.8509784Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:46:15.8510401Z Using device=cpu AMD EPYC 7R32
2024-05-15T23:46:15.8510753Z Loading model...
2024-05-15T23:46:15.8511067Z Time to load model: 0.02 seconds
2024-05-15T23:46:15.8512549Z Hello my name is Amanda and she is three years old. Amanda was walking through a park when she saw a big bump on the grass. Without hesitation, she ran up to the bumps and she clapped her hands in excitement. She shined a big red X on the ground and it was buried.
2024-05-15T23:46:15.8514249Z “Wow!” she said “I wonder what was buried here.”
2024-05-15T23:46:15.8515321Z So Amanda started to look in the brilliant red X, but she couldn’t find it. Then she heard a giggle and looked up, and there it was.
2024-05-15T23:46:15.8516264Z “Who’s it talking?” Amanda asked.
2024-05-15T23:46:15.8516771Z Pete, who was also 3, was trying to reach who the quackling.
2024-05-15T23:46:15.8517532Z “I’m raising a duck’s attention, but I can’t reach it. What does it want?”
2024-05-15T23:46:15.8518517Z “Maybe you want to find a dumb ducking duck?” Her father said with a smile.
2024-05-15T23:46:15.8519116Z Amanda couldn’
2024-05-15T23:46:15.8519493Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:46:15.8520032Z ---------------------------------------------------
2024-05-15T23:46:15.8520544Z Time for inference 1: 14.85 sec total, 13.47 tokens/sec
2024-05-15T23:46:15.8521340Z Bandwidth achieved: 0.66 GB/s
2024-05-15T23:46:15.8521988Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:46:15.8522556Z 
2024-05-15T23:46:15.8522680Z ========================================
2024-05-15T23:46:15.8522965Z 
2024-05-15T23:46:15.8523102Z Average tokens/sec: 13.47
2024-05-15T23:46:15.8523432Z Memory used: 0.00 GB
2024-05-15T23:46:15.8524466Z + python3 torchchat.py export stories15M --quantize '{"embedding": {"bitwidth": 4, "groupsize":32}, "linear:a8w4dq": {"groupsize" : 256}}' --output-pte-path stories15M.pte
2024-05-15T23:46:15.8525736Z Note: NumExpr detected 16 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 8.
2024-05-15T23:46:23.6828510Z NumExpr defaulting to 8 threads.
2024-05-15T23:46:23.6829127Z Using device=cpu
2024-05-15T23:46:23.6829532Z Loading model...
2024-05-15T23:46:23.6829960Z Time to load model: 0.01 seconds
2024-05-15T23:46:23.6831162Z Quantizing the model with: {'embedding': {'bitwidth': 4, 'groupsize': 32}, 'linear:a8w4dq': {'groupsize': 256}}
2024-05-15T23:46:23.6832224Z PyTorch version 2.4.0.dev20240507+cpu available.
2024-05-15T23:46:23.6832671Z 
2024-05-15T23:46:23.6832996Z Downloading builder script:   0% 0.00/5.67k [00:00<?, ?B/s]
2024-05-15T23:46:23.6834282Z Downloading builder script: 100% 5.67k/5.67k [00:00<00:00, 38.8MB/s]
2024-05-15T23:46:23.6835033Z Time to quantize model: 1.38 seconds
2024-05-15T23:46:23.6835740Z Exporting model using ExecuTorch to /pytorch/torchchat/stories15M.pte
2024-05-15T23:46:23.6837128Z Loading custom ops library: /opt/conda/lib/python3.11/site-packages/executorch/examples/models/llama2/custom_ops/libcustom_ops_aot_lib.so
2024-05-15T23:46:23.6838193Z Core ATen graph:
2024-05-15T23:46:23.6838485Z graph():
2024-05-15T23:46:23.6839059Z     %p_layers_0_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_0_attention_norm_weight]
2024-05-15T23:46:23.6840142Z     %p_layers_0_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_0_ffn_norm_weight]
2024-05-15T23:46:23.6841317Z     %p_layers_1_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_1_attention_norm_weight]
2024-05-15T23:46:23.6842502Z     %p_layers_1_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_1_ffn_norm_weight]
2024-05-15T23:46:23.6843808Z     %p_layers_2_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_2_attention_norm_weight]
2024-05-15T23:46:23.6844940Z     %p_layers_2_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_2_ffn_norm_weight]
2024-05-15T23:46:23.6845856Z     %p_layers_3_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_3_attention_norm_weight]
2024-05-15T23:46:23.6846947Z     %p_layers_3_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_3_ffn_norm_weight]
2024-05-15T23:46:23.6848007Z     %p_layers_4_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_4_attention_norm_weight]
2024-05-15T23:46:23.6849105Z     %p_layers_4_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_4_ffn_norm_weight]
2024-05-15T23:46:23.6850281Z     %p_layers_5_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_5_attention_norm_weight]
2024-05-15T23:46:23.6851287Z     %p_layers_5_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_5_ffn_norm_weight]
2024-05-15T23:46:23.6852096Z     %p_norm_weight : [num_users=1] = placeholder[target=p_norm_weight]
2024-05-15T23:46:23.6852737Z     %b_freqs_cis : [num_users=1] = placeholder[target=b_freqs_cis]
2024-05-15T23:46:23.6853556Z     %b_tok_embeddings_weight : [num_users=1] = placeholder[target=b_tok_embeddings_weight]
2024-05-15T23:46:23.6854391Z     %b_tok_embeddings_scales : [num_users=1] = placeholder[target=b_tok_embeddings_scales]
2024-05-15T23:46:23.6855332Z     %b_layers_0_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wq_weight]
2024-05-15T23:46:23.6856277Z     %b_layers_0_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wq_scales]
2024-05-15T23:46:23.6857253Z     %b_layers_0_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wq_zeros]
2024-05-15T23:46:23.6858455Z     %b_layers_0_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wk_weight]
2024-05-15T23:46:23.6859575Z     %b_layers_0_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wk_scales]
2024-05-15T23:46:23.6860615Z     %b_layers_0_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wk_zeros]
2024-05-15T23:46:23.6861816Z     %b_layers_0_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wv_weight]
2024-05-15T23:46:23.6863069Z     %b_layers_0_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wv_scales]
2024-05-15T23:46:23.6864119Z     %b_layers_0_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wv_zeros]
2024-05-15T23:46:23.6865106Z     %b_layers_0_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_k_cache]
2024-05-15T23:46:23.6866156Z     %b_layers_0_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_v_cache]
2024-05-15T23:46:23.6867130Z     %b_layers_0_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wo_weight]
2024-05-15T23:46:23.6868160Z     %b_layers_0_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wo_scales]
2024-05-15T23:46:23.6869079Z     %b_layers_0_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wo_zeros]
2024-05-15T23:46:23.6870095Z     %b_layers_0_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w1_weight]
2024-05-15T23:46:23.6871063Z     %b_layers_0_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w1_scales]
2024-05-15T23:46:23.6872031Z     %b_layers_0_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w1_zeros]
2024-05-15T23:46:23.6873002Z     %b_layers_0_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w3_weight]
2024-05-15T23:46:23.6873970Z     %b_layers_0_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w3_scales]
2024-05-15T23:46:23.6874975Z     %b_layers_0_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w3_zeros]
2024-05-15T23:46:23.6875944Z     %b_layers_0_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w2_weight]
2024-05-15T23:46:23.6876923Z     %b_layers_0_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w2_scales]
2024-05-15T23:46:23.6877998Z     %b_layers_0_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w2_zeros]
2024-05-15T23:46:23.6878933Z     %b_layers_1_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wq_weight]
2024-05-15T23:46:23.6879866Z     %b_layers_1_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wq_scales]
2024-05-15T23:46:23.6880782Z     %b_layers_1_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wq_zeros]
2024-05-15T23:46:23.6881837Z     %b_layers_1_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wk_weight]
2024-05-15T23:46:23.6882772Z     %b_layers_1_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wk_scales]
2024-05-15T23:46:23.6883686Z     %b_layers_1_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wk_zeros]
2024-05-15T23:46:23.6884600Z     %b_layers_1_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wv_weight]
2024-05-15T23:46:23.6885520Z     %b_layers_1_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wv_scales]
2024-05-15T23:46:23.6886450Z     %b_layers_1_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wv_zeros]
2024-05-15T23:46:23.6887490Z     %b_layers_1_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_k_cache]
2024-05-15T23:46:23.6888532Z     %b_layers_1_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_v_cache]
2024-05-15T23:46:23.6889531Z     %b_layers_1_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wo_weight]
2024-05-15T23:46:23.6890466Z     %b_layers_1_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wo_scales]
2024-05-15T23:46:23.6891379Z     %b_layers_1_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wo_zeros]
2024-05-15T23:46:23.6892328Z     %b_layers_1_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w1_weight]
2024-05-15T23:46:23.6893297Z     %b_layers_1_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w1_scales]
2024-05-15T23:46:23.6894269Z     %b_layers_1_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w1_zeros]
2024-05-15T23:46:23.6895232Z     %b_layers_1_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w3_weight]
2024-05-15T23:46:23.6896255Z     %b_layers_1_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w3_scales]
2024-05-15T23:46:23.6897220Z     %b_layers_1_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w3_zeros]
2024-05-15T23:46:23.6898188Z     %b_layers_1_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w2_weight]
2024-05-15T23:46:23.6899222Z     %b_layers_1_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w2_scales]
2024-05-15T23:46:23.6900183Z     %b_layers_1_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w2_zeros]
2024-05-15T23:46:23.6901123Z     %b_layers_2_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wq_weight]
2024-05-15T23:46:23.6902046Z     %b_layers_2_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wq_scales]
2024-05-15T23:46:23.6902962Z     %b_layers_2_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wq_zeros]
2024-05-15T23:46:23.6903941Z     %b_layers_2_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wk_weight]
2024-05-15T23:46:23.6904872Z     %b_layers_2_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wk_scales]
2024-05-15T23:46:23.6905791Z     %b_layers_2_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wk_zeros]
2024-05-15T23:46:23.6906712Z     %b_layers_2_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wv_weight]
2024-05-15T23:46:23.6907645Z     %b_layers_2_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wv_scales]
2024-05-15T23:46:23.6908548Z     %b_layers_2_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wv_zeros]
2024-05-15T23:46:23.6909534Z     %b_layers_2_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_k_cache]
2024-05-15T23:46:23.6910591Z     %b_layers_2_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_v_cache]
2024-05-15T23:46:23.6911578Z     %b_layers_2_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wo_weight]
2024-05-15T23:46:23.6912505Z     %b_layers_2_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wo_scales]
2024-05-15T23:46:23.6913435Z     %b_layers_2_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wo_zeros]
2024-05-15T23:46:23.6914387Z     %b_layers_2_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w1_weight]
2024-05-15T23:46:23.6915360Z     %b_layers_2_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w1_scales]
2024-05-15T23:46:23.6916320Z     %b_layers_2_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w1_zeros]
2024-05-15T23:46:23.6917287Z     %b_layers_2_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w3_weight]
2024-05-15T23:46:23.6918314Z     %b_layers_2_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w3_scales]
2024-05-15T23:46:23.6919270Z     %b_layers_2_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w3_zeros]
2024-05-15T23:46:23.6920239Z     %b_layers_2_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w2_weight]
2024-05-15T23:46:23.6921335Z     %b_layers_2_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w2_scales]
2024-05-15T23:46:23.6922296Z     %b_layers_2_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w2_zeros]
2024-05-15T23:46:23.6923233Z     %b_layers_3_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wq_weight]
2024-05-15T23:46:23.6924171Z     %b_layers_3_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wq_scales]
2024-05-15T23:46:23.6925143Z     %b_layers_3_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wq_zeros]
2024-05-15T23:46:23.6926054Z     %b_layers_3_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wk_weight]
2024-05-15T23:46:23.6926983Z     %b_layers_3_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wk_scales]
2024-05-15T23:46:23.6927974Z     %b_layers_3_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wk_zeros]
2024-05-15T23:46:23.6928894Z     %b_layers_3_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wv_weight]
2024-05-15T23:46:23.6929811Z     %b_layers_3_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wv_scales]
2024-05-15T23:46:23.6930733Z     %b_layers_3_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wv_zeros]
2024-05-15T23:46:23.6931722Z     %b_layers_3_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_k_cache]
2024-05-15T23:46:23.6932808Z     %b_layers_3_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_v_cache]
2024-05-15T23:46:23.6933789Z     %b_layers_3_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wo_weight]
2024-05-15T23:46:23.6934733Z     %b_layers_3_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wo_scales]
2024-05-15T23:46:23.6935659Z     %b_layers_3_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wo_zeros]
2024-05-15T23:46:23.6936606Z     %b_layers_3_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w1_weight]
2024-05-15T23:46:23.6937577Z     %b_layers_3_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w1_scales]
2024-05-15T23:46:23.6938545Z     %b_layers_3_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w1_zeros]
2024-05-15T23:46:23.6939521Z     %b_layers_3_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w3_weight]
2024-05-15T23:46:23.6940498Z     %b_layers_3_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w3_scales]
2024-05-15T23:46:23.6941473Z     %b_layers_3_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w3_zeros]
2024-05-15T23:46:23.6942438Z     %b_layers_3_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w2_weight]
2024-05-15T23:46:23.6943398Z     %b_layers_3_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w2_scales]
2024-05-15T23:46:23.6944365Z     %b_layers_3_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w2_zeros]
2024-05-15T23:46:23.6945308Z     %b_layers_4_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wq_weight]
2024-05-15T23:46:23.6946239Z     %b_layers_4_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wq_scales]
2024-05-15T23:46:23.6947218Z     %b_layers_4_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wq_zeros]
2024-05-15T23:46:23.6948135Z     %b_layers_4_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wk_weight]
2024-05-15T23:46:23.6949074Z     %b_layers_4_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wk_scales]
2024-05-15T23:46:23.6949985Z     %b_layers_4_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wk_zeros]
2024-05-15T23:46:23.6950912Z     %b_layers_4_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wv_weight]
2024-05-15T23:46:23.6951845Z     %b_layers_4_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wv_scales]
2024-05-15T23:46:23.6952759Z     %b_layers_4_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wv_zeros]
2024-05-15T23:46:23.6953775Z     %b_layers_4_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_k_cache]
2024-05-15T23:46:23.6954838Z     %b_layers_4_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_v_cache]
2024-05-15T23:46:23.6955872Z     %b_layers_4_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wo_weight]
2024-05-15T23:46:23.6956803Z     %b_layers_4_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wo_scales]
2024-05-15T23:46:23.6957804Z     %b_layers_4_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wo_zeros]
2024-05-15T23:46:23.6961063Z     %b_layers_4_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w1_weight]
2024-05-15T23:46:23.6962055Z     %b_layers_4_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w1_scales]
2024-05-15T23:46:23.6963026Z     %b_layers_4_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w1_zeros]
2024-05-15T23:46:23.6964063Z     %b_layers_4_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w3_weight]
2024-05-15T23:46:23.6965029Z     %b_layers_4_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w3_scales]
2024-05-15T23:46:23.6965990Z     %b_layers_4_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w3_zeros]
2024-05-15T23:46:23.6966962Z     %b_layers_4_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w2_weight]
2024-05-15T23:46:23.6967931Z     %b_layers_4_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w2_scales]
2024-05-15T23:46:23.6968921Z     %b_layers_4_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w2_zeros]
2024-05-15T23:46:23.6969872Z     %b_layers_5_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wq_weight]
2024-05-15T23:46:23.6970813Z     %b_layers_5_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wq_scales]
2024-05-15T23:46:23.6971735Z     %b_layers_5_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wq_zeros]
2024-05-15T23:46:23.6972649Z     %b_layers_5_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wk_weight]
2024-05-15T23:46:23.6973584Z     %b_layers_5_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wk_scales]
2024-05-15T23:46:23.6974505Z     %b_layers_5_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wk_zeros]
2024-05-15T23:46:23.6975424Z     %b_layers_5_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wv_weight]
2024-05-15T23:46:23.6976359Z     %b_layers_5_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wv_scales]
2024-05-15T23:46:23.6977282Z     %b_layers_5_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wv_zeros]
2024-05-15T23:46:23.6978279Z     %b_layers_5_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_k_cache]
2024-05-15T23:46:23.6979323Z     %b_layers_5_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_v_cache]
2024-05-15T23:46:23.6980317Z     %b_layers_5_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wo_weight]
2024-05-15T23:46:23.6981251Z     %b_layers_5_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wo_scales]
2024-05-15T23:46:23.6982174Z     %b_layers_5_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wo_zeros]
2024-05-15T23:46:23.6983122Z     %b_layers_5_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w1_weight]
2024-05-15T23:46:23.6984091Z     %b_layers_5_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w1_scales]
2024-05-15T23:46:23.6985110Z     %b_layers_5_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w1_zeros]
2024-05-15T23:46:23.6986066Z     %b_layers_5_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w3_weight]
2024-05-15T23:46:23.6987072Z     %b_layers_5_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w3_scales]
2024-05-15T23:46:23.6988041Z     %b_layers_5_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w3_zeros]
2024-05-15T23:46:23.6989006Z     %b_layers_5_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w2_weight]
2024-05-15T23:46:23.6990015Z     %b_layers_5_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w2_scales]
2024-05-15T23:46:23.6990984Z     %b_layers_5_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w2_zeros]
2024-05-15T23:46:23.6991813Z     %b_output_weight : [num_users=1] = placeholder[target=b_output_weight]
2024-05-15T23:46:23.6992541Z     %b_output_scales : [num_users=1] = placeholder[target=b_output_scales]
2024-05-15T23:46:23.6993237Z     %b_output_zeros : [num_users=1] = placeholder[target=b_output_zeros]
2024-05-15T23:46:23.6993830Z     %idx : [num_users=1] = placeholder[target=idx]
2024-05-15T23:46:23.6994379Z     %input_pos : [num_users=7] = placeholder[target=input_pos]
2024-05-15T23:46:23.6995305Z     %index : [num_users=12] = call_function[target=torch.ops.aten.index.Tensor](args = (%b_freqs_cis, [%input_pos]), kwargs = {})
2024-05-15T23:46:23.6996964Z     %embedding_4bit : [num_users=3] = call_function[target=torch.ops.quantized_decomposed.embedding_4bit.dtype](args = (%b_tok_embeddings_weight, %b_tok_embeddings_scales, None, 0, 0, %idx), kwargs = {dtype: torch.float32})
2024-05-15T23:46:23.6998647Z     %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%embedding_4bit, %embedding_4bit), kwargs = {})
2024-05-15T23:46:23.6999898Z     %mean : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul, [-1], True), kwargs = {})
2024-05-15T23:46:23.7001258Z     %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean, 1e-05), kwargs = {})
2024-05-15T23:46:23.7002306Z     %rsqrt : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add,), kwargs = {})
2024-05-15T23:46:23.7003408Z     %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%embedding_4bit, %rsqrt), kwargs = {})
2024-05-15T23:46:23.7004632Z     %mul_2 : [num_users=3] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_1, %p_layers_0_attention_norm_weight), kwargs = {})
2024-05-15T23:46:23.7005957Z     %constant_pad_nd : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_2, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7007577Z     %choose_qparams_per_token_asymmetric : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd, torch.int8), kwargs = {})
2024-05-15T23:46:23.7009155Z     %getitem : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric, 0), kwargs = {})
2024-05-15T23:46:23.7010375Z     %getitem_1 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric, 1), kwargs = {})
2024-05-15T23:46:23.7012077Z     %quantize_per_token : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd, %getitem, %getitem_1, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7014199Z     %dequantize_per_token : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token, %getitem, %getitem_1, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7016754Z     %dequantize_per_channel_group : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wq_weight, %b_layers_0_attention_wq_scales, %b_layers_0_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7018761Z     %t : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group,), kwargs = {})
2024-05-15T23:46:23.7019958Z     %view : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7021077Z     %mm : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view, %t), kwargs = {})
2024-05-15T23:46:23.7022183Z     %view_1 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7023423Z     %constant_pad_nd_1 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_2, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7025081Z     %choose_qparams_per_token_asymmetric_1 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_1, torch.int8), kwargs = {})
2024-05-15T23:46:23.7026651Z     %getitem_2 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_1, 0), kwargs = {})
2024-05-15T23:46:23.7027885Z     %getitem_3 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_1, 1), kwargs = {})
2024-05-15T23:46:23.7029614Z     %quantize_per_token_1 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_1, %getitem_2, %getitem_3, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7031773Z     %dequantize_per_token_1 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_1, %getitem_2, %getitem_3, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7034352Z     %dequantize_per_channel_group_1 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wk_weight, %b_layers_0_attention_wk_scales, %b_layers_0_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7036284Z     %t_1 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_1,), kwargs = {})
2024-05-15T23:46:23.7037590Z     %view_2 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_1, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7038760Z     %mm_1 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_2, %t_1), kwargs = {})
2024-05-15T23:46:23.7039845Z     %view_3 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_1, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7041203Z     %constant_pad_nd_2 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_2, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7042841Z     %choose_qparams_per_token_asymmetric_2 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_2, torch.int8), kwargs = {})
2024-05-15T23:46:23.7044411Z     %getitem_4 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_2, 0), kwargs = {})
2024-05-15T23:46:23.7045643Z     %getitem_5 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_2, 1), kwargs = {})
2024-05-15T23:46:23.7047371Z     %quantize_per_token_2 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_2, %getitem_4, %getitem_5, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7049530Z     %dequantize_per_token_2 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_2, %getitem_4, %getitem_5, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7052180Z     %dequantize_per_channel_group_2 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wv_weight, %b_layers_0_attention_wv_scales, %b_layers_0_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7054106Z     %t_2 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_2,), kwargs = {})
2024-05-15T23:46:23.7055381Z     %view_4 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_2, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7056554Z     %mm_2 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_4, %t_2), kwargs = {})
2024-05-15T23:46:23.7057651Z     %view_5 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_2, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7058826Z     %view_6 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_1, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7060004Z     %view_7 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_3, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7061174Z     %view_8 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_5, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7062452Z     %view_9 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_6, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7063639Z     %view_10 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7064780Z     %select : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_9, 4, 0), kwargs = {})
2024-05-15T23:46:23.7065886Z     %select_1 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_10, 4, 0), kwargs = {})
2024-05-15T23:46:23.7066999Z     %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select, %select_1), kwargs = {})
2024-05-15T23:46:23.7068098Z     %select_2 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_9, 4, 1), kwargs = {})
2024-05-15T23:46:23.7069206Z     %select_3 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_10, 4, 1), kwargs = {})
2024-05-15T23:46:23.7070323Z     %mul_4 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_2, %select_3), kwargs = {})
2024-05-15T23:46:23.7071410Z     %sub : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_3, %mul_4), kwargs = {})
2024-05-15T23:46:23.7072485Z     %select_4 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_9, 4, 1), kwargs = {})
2024-05-15T23:46:23.7073573Z     %select_5 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_10, 4, 0), kwargs = {})
2024-05-15T23:46:23.7074675Z     %mul_5 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_4, %select_5), kwargs = {})
2024-05-15T23:46:23.7075764Z     %select_6 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_9, 4, 0), kwargs = {})
2024-05-15T23:46:23.7076850Z     %select_7 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_10, 4, 1), kwargs = {})
2024-05-15T23:46:23.7078002Z     %mul_6 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_6, %select_7), kwargs = {})
2024-05-15T23:46:23.7079099Z     %add_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_5, %mul_6), kwargs = {})
2024-05-15T23:46:23.7080294Z     %stack : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub, %add_1], -1), kwargs = {})
2024-05-15T23:46:23.7081602Z     %view_11 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7082877Z     %view_12 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_7, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7084104Z     %view_13 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7085678Z     %select_8 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_12, 4, 0), kwargs = {})
2024-05-15T23:46:23.7086813Z     %select_9 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_13, 4, 0), kwargs = {})
2024-05-15T23:46:23.7087929Z     %mul_7 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_8, %select_9), kwargs = {})
2024-05-15T23:46:23.7089041Z     %select_10 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_12, 4, 1), kwargs = {})
2024-05-15T23:46:23.7090187Z     %select_11 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_13, 4, 1), kwargs = {})
2024-05-15T23:46:23.7091303Z     %mul_8 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_10, %select_11), kwargs = {})
2024-05-15T23:46:23.7092403Z     %sub_1 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_7, %mul_8), kwargs = {})
2024-05-15T23:46:23.7093482Z     %select_12 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_12, 4, 1), kwargs = {})
2024-05-15T23:46:23.7094584Z     %select_13 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_13, 4, 0), kwargs = {})
2024-05-15T23:46:23.7095699Z     %mul_9 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_12, %select_13), kwargs = {})
2024-05-15T23:46:23.7096813Z     %select_14 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_12, 4, 0), kwargs = {})
2024-05-15T23:46:23.7097917Z     %select_15 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_13, 4, 1), kwargs = {})
2024-05-15T23:46:23.7099034Z     %mul_10 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_14, %select_15), kwargs = {})
2024-05-15T23:46:23.7100148Z     %add_2 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_9, %mul_10), kwargs = {})
2024-05-15T23:46:23.7101362Z     %stack_1 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_1, %add_2], -1), kwargs = {})
2024-05-15T23:46:23.7102546Z     %view_14 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_1, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7103792Z     %select_16 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:23.7105013Z     %_local_scalar_dense : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%select_16,), kwargs = {})
2024-05-15T23:46:23.7106300Z     %ge : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense, -9223372036854775808), kwargs = {})
2024-05-15T23:46:23.7107513Z     %scalar_tensor_default : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge,), kwargs = {})
2024-05-15T23:46:23.7109334Z     %_assert_async_msg : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default, _local_scalar_dense is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7110939Z     %le : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense, 9223372036854775807), kwargs = {})
2024-05-15T23:46:23.7112091Z     %scalar_tensor_default_1 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le,), kwargs = {})
2024-05-15T23:46:23.7126666Z     %_assert_async_msg_1 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_1, _local_scalar_dense is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7129731Z     %auto_functionalized : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %view_11, key: %view_14, value: %view_8, key_cache: %b_layers_0_attention_kv_cache_k_cache, value_cache: %b_layers_0_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:23.7132202Z     %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized, 0), kwargs = {})
2024-05-15T23:46:23.7133305Z     %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized, 1), kwargs = {})
2024-05-15T23:46:23.7134405Z     %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized, 2), kwargs = {})
2024-05-15T23:46:23.7135550Z     %view_15 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%getitem_6, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7136882Z     %constant_pad_nd_3 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%view_15, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7138528Z     %choose_qparams_per_token_asymmetric_3 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_3, torch.int8), kwargs = {})
2024-05-15T23:46:23.7140102Z     %getitem_9 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_3, 0), kwargs = {})
2024-05-15T23:46:23.7141337Z     %getitem_10 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_3, 1), kwargs = {})
2024-05-15T23:46:23.7143072Z     %quantize_per_token_3 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_3, %getitem_9, %getitem_10, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7145232Z     %dequantize_per_token_3 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_3, %getitem_9, %getitem_10, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7147788Z     %dequantize_per_channel_group_3 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wo_weight, %b_layers_0_attention_wo_scales, %b_layers_0_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7149703Z     %t_3 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_3,), kwargs = {})
2024-05-15T23:46:23.7150953Z     %view_16 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_3, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7152121Z     %mm_3 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_16, %t_3), kwargs = {})
2024-05-15T23:46:23.7153232Z     %view_17 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_3, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7154388Z     %add_3 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%embedding_4bit, %view_17), kwargs = {})
2024-05-15T23:46:23.7155531Z     %mul_11 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_3, %add_3), kwargs = {})
2024-05-15T23:46:23.7156716Z     %mean_1 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_11, [-1], True), kwargs = {})
2024-05-15T23:46:23.7157942Z     %add_4 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_1, 1e-05), kwargs = {})
2024-05-15T23:46:23.7159065Z     %rsqrt_1 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_4,), kwargs = {})
2024-05-15T23:46:23.7160150Z     %mul_12 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_3, %rsqrt_1), kwargs = {})
2024-05-15T23:46:23.7161497Z     %mul_13 : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_12, %p_layers_0_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:23.7162825Z     %constant_pad_nd_4 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_13, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7164529Z     %choose_qparams_per_token_asymmetric_4 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_4, torch.int8), kwargs = {})
2024-05-15T23:46:23.7166139Z     %getitem_11 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_4, 0), kwargs = {})
2024-05-15T23:46:23.7167487Z     %getitem_12 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_4, 1), kwargs = {})
2024-05-15T23:46:23.7169222Z     %quantize_per_token_4 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_4, %getitem_11, %getitem_12, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7171417Z     %dequantize_per_token_4 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_4, %getitem_11, %getitem_12, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7174046Z     %dequantize_per_channel_group_4 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_feed_forward_w1_weight, %b_layers_0_feed_forward_w1_scales, %b_layers_0_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7176030Z     %t_4 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_4,), kwargs = {})
2024-05-15T23:46:23.7177290Z     %view_18 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_4, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7178459Z     %mm_4 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_18, %t_4), kwargs = {})
2024-05-15T23:46:23.7179571Z     %view_19 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_4, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7180680Z     %silu : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%view_19,), kwargs = {})
2024-05-15T23:46:23.7181893Z     %constant_pad_nd_5 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_13, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7183549Z     %choose_qparams_per_token_asymmetric_5 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_5, torch.int8), kwargs = {})
2024-05-15T23:46:23.7185156Z     %getitem_13 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_5, 0), kwargs = {})
2024-05-15T23:46:23.7186420Z     %getitem_14 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_5, 1), kwargs = {})
2024-05-15T23:46:23.7188161Z     %quantize_per_token_5 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_5, %getitem_13, %getitem_14, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7190320Z     %dequantize_per_token_5 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_5, %getitem_13, %getitem_14, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7192990Z     %dequantize_per_channel_group_5 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_feed_forward_w3_weight, %b_layers_0_feed_forward_w3_scales, %b_layers_0_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7194938Z     %t_5 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_5,), kwargs = {})
2024-05-15T23:46:23.7196184Z     %view_20 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_5, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7197483Z     %mm_5 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_20, %t_5), kwargs = {})
2024-05-15T23:46:23.7198580Z     %view_21 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_5, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7199732Z     %mul_14 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu, %view_21), kwargs = {})
2024-05-15T23:46:23.7201050Z     %constant_pad_nd_6 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_14, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:23.7202689Z     %choose_qparams_per_token_asymmetric_6 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_6, torch.int8), kwargs = {})
2024-05-15T23:46:23.7204260Z     %getitem_15 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_6, 0), kwargs = {})
2024-05-15T23:46:23.7205507Z     %getitem_16 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_6, 1), kwargs = {})
2024-05-15T23:46:23.7207228Z     %quantize_per_token_6 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_6, %getitem_15, %getitem_16, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7209408Z     %dequantize_per_token_6 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_6, %getitem_15, %getitem_16, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7212010Z     %dequantize_per_channel_group_6 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_feed_forward_w2_weight, %b_layers_0_feed_forward_w2_scales, %b_layers_0_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7213968Z     %t_6 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_6,), kwargs = {})
2024-05-15T23:46:23.7215214Z     %view_22 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_6, [1, 768]), kwargs = {})
2024-05-15T23:46:23.7216388Z     %mm_6 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_22, %t_6), kwargs = {})
2024-05-15T23:46:23.7217495Z     %view_23 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_6, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7218605Z     %add_5 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_3, %view_23), kwargs = {})
2024-05-15T23:46:23.7219702Z     %mul_15 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_5, %add_5), kwargs = {})
2024-05-15T23:46:23.7220887Z     %mean_2 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_15, [-1], True), kwargs = {})
2024-05-15T23:46:23.7222059Z     %add_6 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_2, 1e-05), kwargs = {})
2024-05-15T23:46:23.7223132Z     %rsqrt_2 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_6,), kwargs = {})
2024-05-15T23:46:23.7224268Z     %mul_16 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_5, %rsqrt_2), kwargs = {})
2024-05-15T23:46:23.7225470Z     %mul_17 : [num_users=3] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_16, %p_layers_1_attention_norm_weight), kwargs = {})
2024-05-15T23:46:23.7226836Z     %constant_pad_nd_7 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_17, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7228473Z     %choose_qparams_per_token_asymmetric_7 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_7, torch.int8), kwargs = {})
2024-05-15T23:46:23.7230090Z     %getitem_17 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_7, 0), kwargs = {})
2024-05-15T23:46:23.7231331Z     %getitem_18 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_7, 1), kwargs = {})
2024-05-15T23:46:23.7233095Z     %quantize_per_token_7 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_7, %getitem_17, %getitem_18, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7235259Z     %dequantize_per_token_7 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_7, %getitem_17, %getitem_18, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7237926Z     %dequantize_per_channel_group_7 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wq_weight, %b_layers_1_attention_wq_scales, %b_layers_1_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7239855Z     %t_7 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_7,), kwargs = {})
2024-05-15T23:46:23.7241212Z     %view_24 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_7, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7242379Z     %mm_7 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_24, %t_7), kwargs = {})
2024-05-15T23:46:23.7243499Z     %view_25 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_7, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7244762Z     %constant_pad_nd_8 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_17, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7246434Z     %choose_qparams_per_token_asymmetric_8 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_8, torch.int8), kwargs = {})
2024-05-15T23:46:23.7248033Z     %getitem_19 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_8, 0), kwargs = {})
2024-05-15T23:46:23.7249295Z     %getitem_20 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_8, 1), kwargs = {})
2024-05-15T23:46:23.7251047Z     %quantize_per_token_8 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_8, %getitem_19, %getitem_20, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7253221Z     %dequantize_per_token_8 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_8, %getitem_19, %getitem_20, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7255787Z     %dequantize_per_channel_group_8 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wk_weight, %b_layers_1_attention_wk_scales, %b_layers_1_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7257772Z     %t_8 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_8,), kwargs = {})
2024-05-15T23:46:23.7259060Z     %view_26 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_8, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7260242Z     %mm_8 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_26, %t_8), kwargs = {})
2024-05-15T23:46:23.7261359Z     %view_27 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_8, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7262644Z     %constant_pad_nd_9 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_17, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7264294Z     %choose_qparams_per_token_asymmetric_9 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_9, torch.int8), kwargs = {})
2024-05-15T23:46:23.7265908Z     %getitem_21 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_9, 0), kwargs = {})
2024-05-15T23:46:23.7267213Z     %getitem_22 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_9, 1), kwargs = {})
2024-05-15T23:46:23.7268936Z     %quantize_per_token_9 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_9, %getitem_21, %getitem_22, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7271108Z     %dequantize_per_token_9 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_9, %getitem_21, %getitem_22, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7273679Z     %dequantize_per_channel_group_9 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wv_weight, %b_layers_1_attention_wv_scales, %b_layers_1_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7275610Z     %t_9 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_9,), kwargs = {})
2024-05-15T23:46:23.7276850Z     %view_28 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_9, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7278054Z     %mm_9 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_28, %t_9), kwargs = {})
2024-05-15T23:46:23.7279160Z     %view_29 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_9, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7280326Z     %view_30 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_25, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7281617Z     %view_31 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_27, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7282795Z     %view_32 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_29, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7284083Z     %view_33 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_30, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7285281Z     %view_34 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7286425Z     %select_17 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_33, 4, 0), kwargs = {})
2024-05-15T23:46:23.7287537Z     %select_18 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_34, 4, 0), kwargs = {})
2024-05-15T23:46:23.7288656Z     %mul_18 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_17, %select_18), kwargs = {})
2024-05-15T23:46:23.7289831Z     %select_19 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_33, 4, 1), kwargs = {})
2024-05-15T23:46:23.7290927Z     %select_20 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_34, 4, 1), kwargs = {})
2024-05-15T23:46:23.7292080Z     %mul_19 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_19, %select_20), kwargs = {})
2024-05-15T23:46:23.7293197Z     %sub_2 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_18, %mul_19), kwargs = {})
2024-05-15T23:46:23.7294299Z     %select_21 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_33, 4, 1), kwargs = {})
2024-05-15T23:46:23.7295424Z     %select_22 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_34, 4, 0), kwargs = {})
2024-05-15T23:46:23.7296547Z     %mul_20 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_21, %select_22), kwargs = {})
2024-05-15T23:46:23.7297764Z     %select_23 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_33, 4, 0), kwargs = {})
2024-05-15T23:46:23.7298840Z     %select_24 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_34, 4, 1), kwargs = {})
2024-05-15T23:46:23.7299960Z     %mul_21 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_23, %select_24), kwargs = {})
2024-05-15T23:46:23.7301078Z     %add_7 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_20, %mul_21), kwargs = {})
2024-05-15T23:46:23.7302313Z     %stack_2 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_2, %add_7], -1), kwargs = {})
2024-05-15T23:46:23.7303492Z     %view_35 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_2, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7304789Z     %view_36 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_31, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7305996Z     %view_37 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7307147Z     %select_25 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_36, 4, 0), kwargs = {})
2024-05-15T23:46:23.7308235Z     %select_26 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_37, 4, 0), kwargs = {})
2024-05-15T23:46:23.7309361Z     %mul_22 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_25, %select_26), kwargs = {})
2024-05-15T23:46:23.7310484Z     %select_27 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_36, 4, 1), kwargs = {})
2024-05-15T23:46:23.7311567Z     %select_28 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_37, 4, 1), kwargs = {})
2024-05-15T23:46:23.7312688Z     %mul_23 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_27, %select_28), kwargs = {})
2024-05-15T23:46:23.7313803Z     %sub_3 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_22, %mul_23), kwargs = {})
2024-05-15T23:46:23.7314902Z     %select_29 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_36, 4, 1), kwargs = {})
2024-05-15T23:46:23.7315988Z     %select_30 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_37, 4, 0), kwargs = {})
2024-05-15T23:46:23.7317298Z     %mul_24 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_29, %select_30), kwargs = {})
2024-05-15T23:46:23.7318465Z     %select_31 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_36, 4, 0), kwargs = {})
2024-05-15T23:46:23.7319556Z     %select_32 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_37, 4, 1), kwargs = {})
2024-05-15T23:46:23.7320704Z     %mul_25 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_31, %select_32), kwargs = {})
2024-05-15T23:46:23.7321914Z     %add_8 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_24, %mul_25), kwargs = {})
2024-05-15T23:46:23.7323201Z     %stack_3 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_3, %add_8], -1), kwargs = {})
2024-05-15T23:46:23.7324390Z     %view_38 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_3, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7325628Z     %select_33 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:23.7326899Z     %_local_scalar_dense_1 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%select_33,), kwargs = {})
2024-05-15T23:46:23.7328225Z     %ge_1 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_1, -9223372036854775808), kwargs = {})
2024-05-15T23:46:23.7329451Z     %scalar_tensor_default_2 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_1,), kwargs = {})
2024-05-15T23:46:23.7331316Z     %_assert_async_msg_2 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_2, _local_scalar_dense_1 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7332950Z     %le_1 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_1, 9223372036854775807), kwargs = {})
2024-05-15T23:46:23.7334140Z     %scalar_tensor_default_3 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_1,), kwargs = {})
2024-05-15T23:46:23.7336000Z     %_assert_async_msg_3 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_3, _local_scalar_dense_1 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7338973Z     %auto_functionalized_1 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %view_35, key: %view_38, value: %view_32, key_cache: %b_layers_1_attention_kv_cache_k_cache, value_cache: %b_layers_1_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_1, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:23.7341412Z     %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_1, 0), kwargs = {})
2024-05-15T23:46:23.7342531Z     %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_1, 1), kwargs = {})
2024-05-15T23:46:23.7343647Z     %getitem_25 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_1, 2), kwargs = {})
2024-05-15T23:46:23.7344796Z     %view_39 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%getitem_23, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7346082Z     %constant_pad_nd_10 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%view_39, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7347738Z     %choose_qparams_per_token_asymmetric_10 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_10, torch.int8), kwargs = {})
2024-05-15T23:46:23.7349337Z     %getitem_26 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_10, 0), kwargs = {})
2024-05-15T23:46:23.7350601Z     %getitem_27 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_10, 1), kwargs = {})
2024-05-15T23:46:23.7352352Z     %quantize_per_token_10 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_10, %getitem_26, %getitem_27, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7354629Z     %dequantize_per_token_10 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_10, %getitem_26, %getitem_27, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7357264Z     %dequantize_per_channel_group_10 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wo_weight, %b_layers_1_attention_wo_scales, %b_layers_1_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7359279Z     %t_10 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_10,), kwargs = {})
2024-05-15T23:46:23.7360533Z     %view_40 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_10, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7361856Z     %mm_10 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_40, %t_10), kwargs = {})
2024-05-15T23:46:23.7362979Z     %view_41 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_10, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7364113Z     %add_9 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_5, %view_41), kwargs = {})
2024-05-15T23:46:23.7365192Z     %mul_26 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_9, %add_9), kwargs = {})
2024-05-15T23:46:23.7366370Z     %mean_3 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_26, [-1], True), kwargs = {})
2024-05-15T23:46:23.7367558Z     %add_10 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_3, 1e-05), kwargs = {})
2024-05-15T23:46:23.7368633Z     %rsqrt_3 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_10,), kwargs = {})
2024-05-15T23:46:23.7369721Z     %mul_27 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_9, %rsqrt_3), kwargs = {})
2024-05-15T23:46:23.7370902Z     %mul_28 : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_27, %p_layers_1_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:23.7372221Z     %constant_pad_nd_11 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_28, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7373884Z     %choose_qparams_per_token_asymmetric_11 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_11, torch.int8), kwargs = {})
2024-05-15T23:46:23.7375479Z     %getitem_28 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_11, 0), kwargs = {})
2024-05-15T23:46:23.7376742Z     %getitem_29 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_11, 1), kwargs = {})
2024-05-15T23:46:23.7378488Z     %quantize_per_token_11 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_11, %getitem_28, %getitem_29, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7380684Z     %dequantize_per_token_11 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_11, %getitem_28, %getitem_29, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7383320Z     %dequantize_per_channel_group_11 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_feed_forward_w1_weight, %b_layers_1_feed_forward_w1_scales, %b_layers_1_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7385282Z     %t_11 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_11,), kwargs = {})
2024-05-15T23:46:23.7386597Z     %view_42 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_11, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7387859Z     %mm_11 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_42, %t_11), kwargs = {})
2024-05-15T23:46:23.7388982Z     %view_43 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_11, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7391450Z     %silu_1 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%view_43,), kwargs = {})
2024-05-15T23:46:23.7392700Z     %constant_pad_nd_12 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_28, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7394355Z     %choose_qparams_per_token_asymmetric_12 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_12, torch.int8), kwargs = {})
2024-05-15T23:46:23.7395989Z     %getitem_30 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_12, 0), kwargs = {})
2024-05-15T23:46:23.7397238Z     %getitem_31 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_12, 1), kwargs = {})
2024-05-15T23:46:23.7399016Z     %quantize_per_token_12 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_12, %getitem_30, %getitem_31, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7401305Z     %dequantize_per_token_12 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_12, %getitem_30, %getitem_31, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7403907Z     %dequantize_per_channel_group_12 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_feed_forward_w3_weight, %b_layers_1_feed_forward_w3_scales, %b_layers_1_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7405890Z     %t_12 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_12,), kwargs = {})
2024-05-15T23:46:23.7407143Z     %view_44 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_12, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7408326Z     %mm_12 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_44, %t_12), kwargs = {})
2024-05-15T23:46:23.7409445Z     %view_45 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_12, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7410575Z     %mul_29 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_1, %view_45), kwargs = {})
2024-05-15T23:46:23.7411811Z     %constant_pad_nd_13 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_29, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:23.7413469Z     %choose_qparams_per_token_asymmetric_13 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_13, torch.int8), kwargs = {})
2024-05-15T23:46:23.7415062Z     %getitem_32 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_13, 0), kwargs = {})
2024-05-15T23:46:23.7416306Z     %getitem_33 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_13, 1), kwargs = {})
2024-05-15T23:46:23.7418054Z     %quantize_per_token_13 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_13, %getitem_32, %getitem_33, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7420291Z     %dequantize_per_token_13 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_13, %getitem_32, %getitem_33, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7422941Z     %dequantize_per_channel_group_13 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_feed_forward_w2_weight, %b_layers_1_feed_forward_w2_scales, %b_layers_1_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7424906Z     %t_13 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_13,), kwargs = {})
2024-05-15T23:46:23.7426193Z     %view_46 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_13, [1, 768]), kwargs = {})
2024-05-15T23:46:23.7427384Z     %mm_13 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_46, %t_13), kwargs = {})
2024-05-15T23:46:23.7428539Z     %view_47 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_13, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7429676Z     %add_11 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_9, %view_47), kwargs = {})
2024-05-15T23:46:23.7430766Z     %mul_30 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_11, %add_11), kwargs = {})
2024-05-15T23:46:23.7431951Z     %mean_4 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_30, [-1], True), kwargs = {})
2024-05-15T23:46:23.7433138Z     %add_12 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_4, 1e-05), kwargs = {})
2024-05-15T23:46:23.7434222Z     %rsqrt_4 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_12,), kwargs = {})
2024-05-15T23:46:23.7435307Z     %mul_31 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_11, %rsqrt_4), kwargs = {})
2024-05-15T23:46:23.7436521Z     %mul_32 : [num_users=3] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_31, %p_layers_2_attention_norm_weight), kwargs = {})
2024-05-15T23:46:23.7437908Z     %constant_pad_nd_14 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_32, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7439564Z     %choose_qparams_per_token_asymmetric_14 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_14, torch.int8), kwargs = {})
2024-05-15T23:46:23.7441256Z     %getitem_34 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_14, 0), kwargs = {})
2024-05-15T23:46:23.7442510Z     %getitem_35 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_14, 1), kwargs = {})
2024-05-15T23:46:23.7444251Z     %quantize_per_token_14 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_14, %getitem_34, %getitem_35, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7446452Z     %dequantize_per_token_14 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_14, %getitem_34, %getitem_35, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7449408Z     %dequantize_per_channel_group_14 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wq_weight, %b_layers_2_attention_wq_scales, %b_layers_2_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7451361Z     %t_14 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_14,), kwargs = {})
2024-05-15T23:46:23.7452627Z     %view_48 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_14, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7453894Z     %mm_14 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_48, %t_14), kwargs = {})
2024-05-15T23:46:23.7455063Z     %view_49 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_14, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7456323Z     %constant_pad_nd_15 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_32, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7458019Z     %choose_qparams_per_token_asymmetric_15 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_15, torch.int8), kwargs = {})
2024-05-15T23:46:23.7459623Z     %getitem_36 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_15, 0), kwargs = {})
2024-05-15T23:46:23.7460880Z     %getitem_37 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_15, 1), kwargs = {})
2024-05-15T23:46:23.7462673Z     %quantize_per_token_15 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_15, %getitem_36, %getitem_37, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7464869Z     %dequantize_per_token_15 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_15, %getitem_36, %getitem_37, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7467455Z     %dequantize_per_channel_group_15 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wk_weight, %b_layers_2_attention_wk_scales, %b_layers_2_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7469389Z     %t_15 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_15,), kwargs = {})
2024-05-15T23:46:23.7470650Z     %view_50 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_15, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7471829Z     %mm_15 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_50, %t_15), kwargs = {})
2024-05-15T23:46:23.7472951Z     %view_51 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_15, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7474221Z     %constant_pad_nd_16 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_32, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7475869Z     %choose_qparams_per_token_asymmetric_16 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_16, torch.int8), kwargs = {})
2024-05-15T23:46:23.7477544Z     %getitem_38 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_16, 0), kwargs = {})
2024-05-15T23:46:23.7478802Z     %getitem_39 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_16, 1), kwargs = {})
2024-05-15T23:46:23.7480549Z     %quantize_per_token_16 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_16, %getitem_38, %getitem_39, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7482862Z     %dequantize_per_token_16 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_16, %getitem_38, %getitem_39, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7485444Z     %dequantize_per_channel_group_16 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wv_weight, %b_layers_2_attention_wv_scales, %b_layers_2_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7487434Z     %t_16 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_16,), kwargs = {})
2024-05-15T23:46:23.7488742Z     %view_52 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_16, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7489926Z     %mm_16 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_52, %t_16), kwargs = {})
2024-05-15T23:46:23.7491042Z     %view_53 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_16, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7492254Z     %view_54 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_49, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7493433Z     %view_55 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_51, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7494639Z     %view_56 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_53, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7495919Z     %view_57 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_54, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7497120Z     %view_58 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7498272Z     %select_34 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_57, 4, 0), kwargs = {})
2024-05-15T23:46:23.7499387Z     %select_35 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_58, 4, 0), kwargs = {})
2024-05-15T23:46:23.7500503Z     %mul_33 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_34, %select_35), kwargs = {})
2024-05-15T23:46:23.7501643Z     %select_36 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_57, 4, 1), kwargs = {})
2024-05-15T23:46:23.7502739Z     %select_37 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_58, 4, 1), kwargs = {})
2024-05-15T23:46:23.7503860Z     %mul_34 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_36, %select_37), kwargs = {})
2024-05-15T23:46:23.7504978Z     %sub_4 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_33, %mul_34), kwargs = {})
2024-05-15T23:46:23.7506084Z     %select_38 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_57, 4, 1), kwargs = {})
2024-05-15T23:46:23.7507198Z     %select_39 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_58, 4, 0), kwargs = {})
2024-05-15T23:46:23.7508313Z     %mul_35 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_38, %select_39), kwargs = {})
2024-05-15T23:46:23.7509438Z     %select_40 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_57, 4, 0), kwargs = {})
2024-05-15T23:46:23.7510528Z     %select_41 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_58, 4, 1), kwargs = {})
2024-05-15T23:46:23.7511647Z     %mul_36 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_40, %select_41), kwargs = {})
2024-05-15T23:46:23.7512759Z     %add_13 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_35, %mul_36), kwargs = {})
2024-05-15T23:46:23.7514007Z     %stack_4 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_4, %add_13], -1), kwargs = {})
2024-05-15T23:46:23.7515199Z     %view_59 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_4, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7516491Z     %view_60 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_55, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7517781Z     %view_61 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7518931Z     %select_42 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_60, 4, 0), kwargs = {})
2024-05-15T23:46:23.7520062Z     %select_43 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_61, 4, 0), kwargs = {})
2024-05-15T23:46:23.7521283Z     %mul_37 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_42, %select_43), kwargs = {})
2024-05-15T23:46:23.7522414Z     %select_44 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_60, 4, 1), kwargs = {})
2024-05-15T23:46:23.7523564Z     %select_45 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_61, 4, 1), kwargs = {})
2024-05-15T23:46:23.7524693Z     %mul_38 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_44, %select_45), kwargs = {})
2024-05-15T23:46:23.7525835Z     %sub_5 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_37, %mul_38), kwargs = {})
2024-05-15T23:46:23.7526936Z     %select_46 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_60, 4, 1), kwargs = {})
2024-05-15T23:46:23.7528049Z     %select_47 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_61, 4, 0), kwargs = {})
2024-05-15T23:46:23.7529176Z     %mul_39 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_46, %select_47), kwargs = {})
2024-05-15T23:46:23.7530295Z     %select_48 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_60, 4, 0), kwargs = {})
2024-05-15T23:46:23.7531398Z     %select_49 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_61, 4, 1), kwargs = {})
2024-05-15T23:46:23.7532516Z     %mul_40 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_48, %select_49), kwargs = {})
2024-05-15T23:46:23.7533637Z     %add_14 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_39, %mul_40), kwargs = {})
2024-05-15T23:46:23.7534882Z     %stack_5 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_5, %add_14], -1), kwargs = {})
2024-05-15T23:46:23.7536080Z     %view_62 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_5, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7537332Z     %select_50 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:23.7538565Z     %_local_scalar_dense_2 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%select_50,), kwargs = {})
2024-05-15T23:46:23.7539893Z     %ge_2 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_2, -9223372036854775808), kwargs = {})
2024-05-15T23:46:23.7541094Z     %scalar_tensor_default_4 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_2,), kwargs = {})
2024-05-15T23:46:23.7542964Z     %_assert_async_msg_4 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_4, _local_scalar_dense_2 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7544597Z     %le_2 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_2, 9223372036854775807), kwargs = {})
2024-05-15T23:46:23.7545783Z     %scalar_tensor_default_5 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_2,), kwargs = {})
2024-05-15T23:46:23.7547652Z     %_assert_async_msg_5 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_5, _local_scalar_dense_2 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7550709Z     %auto_functionalized_2 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %view_59, key: %view_62, value: %view_56, key_cache: %b_layers_2_attention_kv_cache_k_cache, value_cache: %b_layers_2_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_2, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:23.7553171Z     %getitem_40 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_2, 0), kwargs = {})
2024-05-15T23:46:23.7554297Z     %getitem_41 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_2, 1), kwargs = {})
2024-05-15T23:46:23.7555440Z     %getitem_42 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_2, 2), kwargs = {})
2024-05-15T23:46:23.7556603Z     %view_63 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%getitem_40, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7557978Z     %constant_pad_nd_17 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%view_63, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7559632Z     %choose_qparams_per_token_asymmetric_17 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_17, torch.int8), kwargs = {})
2024-05-15T23:46:23.7561332Z     %getitem_43 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_17, 0), kwargs = {})
2024-05-15T23:46:23.7562596Z     %getitem_44 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_17, 1), kwargs = {})
2024-05-15T23:46:23.7564346Z     %quantize_per_token_17 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_17, %getitem_43, %getitem_44, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7566551Z     %dequantize_per_token_17 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_17, %getitem_43, %getitem_44, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7569138Z     %dequantize_per_channel_group_17 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wo_weight, %b_layers_2_attention_wo_scales, %b_layers_2_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7571070Z     %t_17 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_17,), kwargs = {})
2024-05-15T23:46:23.7572335Z     %view_64 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_17, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7573522Z     %mm_17 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_64, %t_17), kwargs = {})
2024-05-15T23:46:23.7574645Z     %view_65 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_17, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7575787Z     %add_15 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_11, %view_65), kwargs = {})
2024-05-15T23:46:23.7576915Z     %mul_41 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_15, %add_15), kwargs = {})
2024-05-15T23:46:23.7578148Z     %mean_5 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_41, [-1], True), kwargs = {})
2024-05-15T23:46:23.7579330Z     %add_16 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_5, 1e-05), kwargs = {})
2024-05-15T23:46:23.7580414Z     %rsqrt_5 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_16,), kwargs = {})
2024-05-15T23:46:23.7581560Z     %mul_42 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_15, %rsqrt_5), kwargs = {})
2024-05-15T23:46:23.7582757Z     %mul_43 : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_42, %p_layers_2_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:23.7584116Z     %constant_pad_nd_18 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_43, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7585774Z     %choose_qparams_per_token_asymmetric_18 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_18, torch.int8), kwargs = {})
2024-05-15T23:46:23.7587402Z     %getitem_45 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_18, 0), kwargs = {})
2024-05-15T23:46:23.7588657Z     %getitem_46 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_18, 1), kwargs = {})
2024-05-15T23:46:23.7590445Z     %quantize_per_token_18 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_18, %getitem_45, %getitem_46, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7592643Z     %dequantize_per_token_18 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_18, %getitem_45, %getitem_46, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7595272Z     %dequantize_per_channel_group_18 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_feed_forward_w1_weight, %b_layers_2_feed_forward_w1_scales, %b_layers_2_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7597254Z     %t_18 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_18,), kwargs = {})
2024-05-15T23:46:23.7598562Z     %view_66 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_18, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7599742Z     %mm_18 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_66, %t_18), kwargs = {})
2024-05-15T23:46:23.7600974Z     %view_67 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_18, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7602109Z     %silu_2 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%view_67,), kwargs = {})
2024-05-15T23:46:23.7603341Z     %constant_pad_nd_19 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_43, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7605035Z     %choose_qparams_per_token_asymmetric_19 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_19, torch.int8), kwargs = {})
2024-05-15T23:46:23.7606666Z     %getitem_47 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_19, 0), kwargs = {})
2024-05-15T23:46:23.7608001Z     %getitem_48 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_19, 1), kwargs = {})
2024-05-15T23:46:23.7609776Z     %quantize_per_token_19 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_19, %getitem_47, %getitem_48, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7612004Z     %dequantize_per_token_19 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_19, %getitem_47, %getitem_48, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7614671Z     %dequantize_per_channel_group_19 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_feed_forward_w3_weight, %b_layers_2_feed_forward_w3_scales, %b_layers_2_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7616728Z     %t_19 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_19,), kwargs = {})
2024-05-15T23:46:23.7618097Z     %view_68 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_19, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7619291Z     %mm_19 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_68, %t_19), kwargs = {})
2024-05-15T23:46:23.7620467Z     %view_69 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_19, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7621626Z     %mul_44 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_2, %view_69), kwargs = {})
2024-05-15T23:46:23.7622872Z     %constant_pad_nd_20 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_44, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:23.7624577Z     %choose_qparams_per_token_asymmetric_20 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_20, torch.int8), kwargs = {})
2024-05-15T23:46:23.7626207Z     %getitem_49 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_20, 0), kwargs = {})
2024-05-15T23:46:23.7627474Z     %getitem_50 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_20, 1), kwargs = {})
2024-05-15T23:46:23.7629251Z     %quantize_per_token_20 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_20, %getitem_49, %getitem_50, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7631472Z     %dequantize_per_token_20 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_20, %getitem_49, %getitem_50, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7634123Z     %dequantize_per_channel_group_20 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_feed_forward_w2_weight, %b_layers_2_feed_forward_w2_scales, %b_layers_2_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7636125Z     %t_20 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_20,), kwargs = {})
2024-05-15T23:46:23.7637444Z     %view_70 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_20, [1, 768]), kwargs = {})
2024-05-15T23:46:23.7638639Z     %mm_20 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_70, %t_20), kwargs = {})
2024-05-15T23:46:23.7639766Z     %view_71 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_20, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7641018Z     %add_17 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_15, %view_71), kwargs = {})
2024-05-15T23:46:23.7642141Z     %mul_45 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_17, %add_17), kwargs = {})
2024-05-15T23:46:23.7643336Z     %mean_6 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_45, [-1], True), kwargs = {})
2024-05-15T23:46:23.7644515Z     %add_18 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_6, 1e-05), kwargs = {})
2024-05-15T23:46:23.7645623Z     %rsqrt_6 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_18,), kwargs = {})
2024-05-15T23:46:23.7646730Z     %mul_46 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_17, %rsqrt_6), kwargs = {})
2024-05-15T23:46:23.7648003Z     %mul_47 : [num_users=3] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_46, %p_layers_3_attention_norm_weight), kwargs = {})
2024-05-15T23:46:23.7649354Z     %constant_pad_nd_21 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_47, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7651081Z     %choose_qparams_per_token_asymmetric_21 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_21, torch.int8), kwargs = {})
2024-05-15T23:46:23.7652702Z     %getitem_51 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_21, 0), kwargs = {})
2024-05-15T23:46:23.7654004Z     %getitem_52 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_21, 1), kwargs = {})
2024-05-15T23:46:23.7655752Z     %quantize_per_token_21 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_21, %getitem_51, %getitem_52, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7658007Z     %dequantize_per_token_21 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_21, %getitem_51, %getitem_52, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7660626Z     %dequantize_per_channel_group_21 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wq_weight, %b_layers_3_attention_wq_scales, %b_layers_3_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7662591Z     %t_21 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_21,), kwargs = {})
2024-05-15T23:46:23.7663867Z     %view_72 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_21, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7665049Z     %mm_21 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_72, %t_21), kwargs = {})
2024-05-15T23:46:23.7666172Z     %view_73 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_21, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7667441Z     %constant_pad_nd_22 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_47, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7669094Z     %choose_qparams_per_token_asymmetric_22 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_22, torch.int8), kwargs = {})
2024-05-15T23:46:23.7670688Z     %getitem_53 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_22, 0), kwargs = {})
2024-05-15T23:46:23.7671942Z     %getitem_54 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_22, 1), kwargs = {})
2024-05-15T23:46:23.7673703Z     %quantize_per_token_22 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_22, %getitem_53, %getitem_54, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7675904Z     %dequantize_per_token_22 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_22, %getitem_53, %getitem_54, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7678589Z     %dequantize_per_channel_group_22 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wk_weight, %b_layers_3_attention_wk_scales, %b_layers_3_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7680530Z     %t_22 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_22,), kwargs = {})
2024-05-15T23:46:23.7681920Z     %view_74 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_22, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7683110Z     %mm_22 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_74, %t_22), kwargs = {})
2024-05-15T23:46:23.7684274Z     %view_75 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_22, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7685542Z     %constant_pad_nd_23 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_47, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7687227Z     %choose_qparams_per_token_asymmetric_23 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_23, torch.int8), kwargs = {})
2024-05-15T23:46:23.7688825Z     %getitem_55 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_23, 0), kwargs = {})
2024-05-15T23:46:23.7690121Z     %getitem_56 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_23, 1), kwargs = {})
2024-05-15T23:46:23.7691870Z     %quantize_per_token_23 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_23, %getitem_55, %getitem_56, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7694067Z     %dequantize_per_token_23 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_23, %getitem_55, %getitem_56, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7696642Z     %dequantize_per_channel_group_23 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wv_weight, %b_layers_3_attention_wv_scales, %b_layers_3_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7698587Z     %t_23 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_23,), kwargs = {})
2024-05-15T23:46:23.7699849Z     %view_76 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_23, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7701031Z     %mm_23 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_76, %t_23), kwargs = {})
2024-05-15T23:46:23.7702151Z     %view_77 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_23, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7703331Z     %view_78 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_73, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7704500Z     %view_79 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_75, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7705680Z     %view_80 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_77, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7706963Z     %view_81 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_78, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7708220Z     %view_82 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7709365Z     %select_51 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_81, 4, 0), kwargs = {})
2024-05-15T23:46:23.7710477Z     %select_52 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_82, 4, 0), kwargs = {})
2024-05-15T23:46:23.7711607Z     %mul_48 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_51, %select_52), kwargs = {})
2024-05-15T23:46:23.7712735Z     %select_53 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_81, 4, 1), kwargs = {})
2024-05-15T23:46:23.7713877Z     %select_54 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_82, 4, 1), kwargs = {})
2024-05-15T23:46:23.7715006Z     %mul_49 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_53, %select_54), kwargs = {})
2024-05-15T23:46:23.7716151Z     %sub_6 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_48, %mul_49), kwargs = {})
2024-05-15T23:46:23.7717247Z     %select_55 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_81, 4, 1), kwargs = {})
2024-05-15T23:46:23.7718393Z     %select_56 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_82, 4, 0), kwargs = {})
2024-05-15T23:46:23.7719564Z     %mul_50 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_55, %select_56), kwargs = {})
2024-05-15T23:46:23.7720697Z     %select_57 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_81, 4, 0), kwargs = {})
2024-05-15T23:46:23.7721925Z     %select_58 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_82, 4, 1), kwargs = {})
2024-05-15T23:46:23.7723051Z     %mul_51 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_57, %select_58), kwargs = {})
2024-05-15T23:46:23.7724178Z     %add_19 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_50, %mul_51), kwargs = {})
2024-05-15T23:46:23.7725422Z     %stack_6 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_6, %add_19], -1), kwargs = {})
2024-05-15T23:46:23.7726618Z     %view_83 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_6, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7727911Z     %view_84 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_79, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7729117Z     %view_85 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7730276Z     %select_59 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_84, 4, 0), kwargs = {})
2024-05-15T23:46:23.7731370Z     %select_60 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_85, 4, 0), kwargs = {})
2024-05-15T23:46:23.7732500Z     %mul_52 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_59, %select_60), kwargs = {})
2024-05-15T23:46:23.7733623Z     %select_61 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_84, 4, 1), kwargs = {})
2024-05-15T23:46:23.7734708Z     %select_62 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_85, 4, 1), kwargs = {})
2024-05-15T23:46:23.7735822Z     %mul_53 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_61, %select_62), kwargs = {})
2024-05-15T23:46:23.7736990Z     %sub_7 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_52, %mul_53), kwargs = {})
2024-05-15T23:46:23.7738088Z     %select_63 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_84, 4, 1), kwargs = {})
2024-05-15T23:46:23.7739180Z     %select_64 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_85, 4, 0), kwargs = {})
2024-05-15T23:46:23.7740302Z     %mul_54 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_63, %select_64), kwargs = {})
2024-05-15T23:46:23.7741428Z     %select_65 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_84, 4, 0), kwargs = {})
2024-05-15T23:46:23.7742524Z     %select_66 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_85, 4, 1), kwargs = {})
2024-05-15T23:46:23.7743628Z     %mul_55 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_65, %select_66), kwargs = {})
2024-05-15T23:46:23.7744797Z     %add_20 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_54, %mul_55), kwargs = {})
2024-05-15T23:46:23.7746031Z     %stack_7 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_7, %add_20], -1), kwargs = {})
2024-05-15T23:46:23.7747302Z     %view_86 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_7, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7748558Z     %select_67 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:23.7749798Z     %_local_scalar_dense_3 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%select_67,), kwargs = {})
2024-05-15T23:46:23.7751152Z     %ge_3 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_3, -9223372036854775808), kwargs = {})
2024-05-15T23:46:23.7752344Z     %scalar_tensor_default_6 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_3,), kwargs = {})
2024-05-15T23:46:23.7754246Z     %_assert_async_msg_6 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_6, _local_scalar_dense_3 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7755880Z     %le_3 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_3, 9223372036854775807), kwargs = {})
2024-05-15T23:46:23.7757080Z     %scalar_tensor_default_7 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_3,), kwargs = {})
2024-05-15T23:46:23.7758979Z     %_assert_async_msg_7 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_7, _local_scalar_dense_3 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7762058Z     %auto_functionalized_3 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %view_83, key: %view_86, value: %view_80, key_cache: %b_layers_3_attention_kv_cache_k_cache, value_cache: %b_layers_3_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_3, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:23.7764521Z     %getitem_57 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_3, 0), kwargs = {})
2024-05-15T23:46:23.7765645Z     %getitem_58 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_3, 1), kwargs = {})
2024-05-15T23:46:23.7766788Z     %getitem_59 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_3, 2), kwargs = {})
2024-05-15T23:46:23.7767957Z     %view_87 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%getitem_57, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7769249Z     %constant_pad_nd_24 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%view_87, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7770905Z     %choose_qparams_per_token_asymmetric_24 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_24, torch.int8), kwargs = {})
2024-05-15T23:46:23.7772497Z     %getitem_60 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_24, 0), kwargs = {})
2024-05-15T23:46:23.7773743Z     %getitem_61 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_24, 1), kwargs = {})
2024-05-15T23:46:23.7775499Z     %quantize_per_token_24 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_24, %getitem_60, %getitem_61, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7777744Z     %dequantize_per_token_24 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_24, %getitem_60, %getitem_61, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7780372Z     %dequantize_per_channel_group_24 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wo_weight, %b_layers_3_attention_wo_scales, %b_layers_3_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7782316Z     %t_24 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_24,), kwargs = {})
2024-05-15T23:46:23.7783595Z     %view_88 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_24, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7784782Z     %mm_24 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_88, %t_24), kwargs = {})
2024-05-15T23:46:23.7785946Z     %view_89 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_24, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7787081Z     %add_21 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_17, %view_89), kwargs = {})
2024-05-15T23:46:23.7788185Z     %mul_56 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_21, %add_21), kwargs = {})
2024-05-15T23:46:23.7789376Z     %mean_7 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_56, [-1], True), kwargs = {})
2024-05-15T23:46:23.7790553Z     %add_22 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_7, 1e-05), kwargs = {})
2024-05-15T23:46:23.7791632Z     %rsqrt_7 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_22,), kwargs = {})
2024-05-15T23:46:23.7792714Z     %mul_57 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_21, %rsqrt_7), kwargs = {})
2024-05-15T23:46:23.7793903Z     %mul_58 : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_57, %p_layers_3_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:23.7795226Z     %constant_pad_nd_25 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_58, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7796932Z     %choose_qparams_per_token_asymmetric_25 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_25, torch.int8), kwargs = {})
2024-05-15T23:46:23.7798563Z     %getitem_62 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_25, 0), kwargs = {})
2024-05-15T23:46:23.7799823Z     %getitem_63 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_25, 1), kwargs = {})
2024-05-15T23:46:23.7801677Z     %quantize_per_token_25 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_25, %getitem_62, %getitem_63, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7803891Z     %dequantize_per_token_25 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_25, %getitem_62, %getitem_63, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7806512Z     %dequantize_per_channel_group_25 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_feed_forward_w1_weight, %b_layers_3_feed_forward_w1_scales, %b_layers_3_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7808493Z     %t_25 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_25,), kwargs = {})
2024-05-15T23:46:23.7809759Z     %view_90 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_25, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7811003Z     %mm_25 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_90, %t_25), kwargs = {})
2024-05-15T23:46:23.7812167Z     %view_91 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_25, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7813284Z     %silu_3 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%view_91,), kwargs = {})
2024-05-15T23:46:23.7814504Z     %constant_pad_nd_26 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_58, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7816195Z     %choose_qparams_per_token_asymmetric_26 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_26, torch.int8), kwargs = {})
2024-05-15T23:46:23.7817800Z     %getitem_64 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_26, 0), kwargs = {})
2024-05-15T23:46:23.7819084Z     %getitem_65 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_26, 1), kwargs = {})
2024-05-15T23:46:23.7820829Z     %quantize_per_token_26 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_26, %getitem_64, %getitem_65, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7823027Z     %dequantize_per_token_26 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_26, %getitem_64, %getitem_65, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7825662Z     %dequantize_per_channel_group_26 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_feed_forward_w3_weight, %b_layers_3_feed_forward_w3_scales, %b_layers_3_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7827626Z     %t_26 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_26,), kwargs = {})
2024-05-15T23:46:23.7828896Z     %view_92 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_26, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7830074Z     %mm_26 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_92, %t_26), kwargs = {})
2024-05-15T23:46:23.7831202Z     %view_93 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_26, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.7832340Z     %mul_59 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_3, %view_93), kwargs = {})
2024-05-15T23:46:23.7833579Z     %constant_pad_nd_27 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_59, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:23.7835232Z     %choose_qparams_per_token_asymmetric_27 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_27, torch.int8), kwargs = {})
2024-05-15T23:46:23.7836839Z     %getitem_66 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_27, 0), kwargs = {})
2024-05-15T23:46:23.7838130Z     %getitem_67 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_27, 1), kwargs = {})
2024-05-15T23:46:23.7839875Z     %quantize_per_token_27 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_27, %getitem_66, %getitem_67, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7842166Z     %dequantize_per_token_27 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_27, %getitem_66, %getitem_67, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7844881Z     %dequantize_per_channel_group_27 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_feed_forward_w2_weight, %b_layers_3_feed_forward_w2_scales, %b_layers_3_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7846855Z     %t_27 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_27,), kwargs = {})
2024-05-15T23:46:23.7848105Z     %view_94 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_27, [1, 768]), kwargs = {})
2024-05-15T23:46:23.7849325Z     %mm_27 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_94, %t_27), kwargs = {})
2024-05-15T23:46:23.7850450Z     %view_95 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_27, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7851619Z     %add_23 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_21, %view_95), kwargs = {})
2024-05-15T23:46:23.7852713Z     %mul_60 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_23, %add_23), kwargs = {})
2024-05-15T23:46:23.7853916Z     %mean_8 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_60, [-1], True), kwargs = {})
2024-05-15T23:46:23.7855093Z     %add_24 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_8, 1e-05), kwargs = {})
2024-05-15T23:46:23.7856166Z     %rsqrt_8 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_24,), kwargs = {})
2024-05-15T23:46:23.7857246Z     %mul_61 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_23, %rsqrt_8), kwargs = {})
2024-05-15T23:46:23.7858457Z     %mul_62 : [num_users=3] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_61, %p_layers_4_attention_norm_weight), kwargs = {})
2024-05-15T23:46:23.7859807Z     %constant_pad_nd_28 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_62, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7861463Z     %choose_qparams_per_token_asymmetric_28 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_28, torch.int8), kwargs = {})
2024-05-15T23:46:23.7863049Z     %getitem_68 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_28, 0), kwargs = {})
2024-05-15T23:46:23.7864310Z     %getitem_69 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_28, 1), kwargs = {})
2024-05-15T23:46:23.7866058Z     %quantize_per_token_28 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_28, %getitem_68, %getitem_69, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7868256Z     %dequantize_per_token_28 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_28, %getitem_68, %getitem_69, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7870832Z     %dequantize_per_channel_group_28 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wq_weight, %b_layers_4_attention_wq_scales, %b_layers_4_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7872776Z     %t_28 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_28,), kwargs = {})
2024-05-15T23:46:23.7874036Z     %view_96 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_28, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7875283Z     %mm_28 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_96, %t_28), kwargs = {})
2024-05-15T23:46:23.7876396Z     %view_97 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_28, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7877728Z     %constant_pad_nd_29 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_62, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7879376Z     %choose_qparams_per_token_asymmetric_29 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_29, torch.int8), kwargs = {})
2024-05-15T23:46:23.7881098Z     %getitem_70 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_29, 0), kwargs = {})
2024-05-15T23:46:23.7882346Z     %getitem_71 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_29, 1), kwargs = {})
2024-05-15T23:46:23.7884126Z     %quantize_per_token_29 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_29, %getitem_70, %getitem_71, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7886319Z     %dequantize_per_token_29 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_29, %getitem_70, %getitem_71, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7888904Z     %dequantize_per_channel_group_29 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wk_weight, %b_layers_4_attention_wk_scales, %b_layers_4_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7890837Z     %t_29 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_29,), kwargs = {})
2024-05-15T23:46:23.7892094Z     %view_98 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_29, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7893281Z     %mm_29 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_98, %t_29), kwargs = {})
2024-05-15T23:46:23.7894406Z     %view_99 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_29, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7895672Z     %constant_pad_nd_30 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_62, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7897315Z     %choose_qparams_per_token_asymmetric_30 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_30, torch.int8), kwargs = {})
2024-05-15T23:46:23.7898909Z     %getitem_72 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_30, 0), kwargs = {})
2024-05-15T23:46:23.7900160Z     %getitem_73 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_30, 1), kwargs = {})
2024-05-15T23:46:23.7901901Z     %quantize_per_token_30 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_30, %getitem_72, %getitem_73, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7904089Z     %dequantize_per_token_30 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_30, %getitem_72, %getitem_73, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7906656Z     %dequantize_per_channel_group_30 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wv_weight, %b_layers_4_attention_wv_scales, %b_layers_4_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7908635Z     %t_30 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_30,), kwargs = {})
2024-05-15T23:46:23.7909891Z     %view_100 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_30, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7911114Z     %mm_30 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_100, %t_30), kwargs = {})
2024-05-15T23:46:23.7912234Z     %view_101 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_30, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7913413Z     %view_102 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_97, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7914624Z     %view_103 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_99, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7915810Z     %view_104 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_101, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7917145Z     %view_105 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_102, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7918416Z     %view_106 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7919576Z     %select_68 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_105, 4, 0), kwargs = {})
2024-05-15T23:46:23.7920695Z     %select_69 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_106, 4, 0), kwargs = {})
2024-05-15T23:46:23.7921921Z     %mul_63 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_68, %select_69), kwargs = {})
2024-05-15T23:46:23.7923047Z     %select_70 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_105, 4, 1), kwargs = {})
2024-05-15T23:46:23.7924150Z     %select_71 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_106, 4, 1), kwargs = {})
2024-05-15T23:46:23.7925266Z     %mul_64 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_70, %select_71), kwargs = {})
2024-05-15T23:46:23.7926379Z     %sub_8 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_63, %mul_64), kwargs = {})
2024-05-15T23:46:23.7927478Z     %select_72 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_105, 4, 1), kwargs = {})
2024-05-15T23:46:23.7928585Z     %select_73 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_106, 4, 0), kwargs = {})
2024-05-15T23:46:23.7929697Z     %mul_65 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_72, %select_73), kwargs = {})
2024-05-15T23:46:23.7930817Z     %select_74 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_105, 4, 0), kwargs = {})
2024-05-15T23:46:23.7931913Z     %select_75 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_106, 4, 1), kwargs = {})
2024-05-15T23:46:23.7933024Z     %mul_66 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_74, %select_75), kwargs = {})
2024-05-15T23:46:23.7934136Z     %add_25 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_65, %mul_66), kwargs = {})
2024-05-15T23:46:23.7935377Z     %stack_8 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_8, %add_25], -1), kwargs = {})
2024-05-15T23:46:23.7936564Z     %view_107 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_8, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7937869Z     %view_108 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_103, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.7939068Z     %view_109 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.7940270Z     %select_76 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_108, 4, 0), kwargs = {})
2024-05-15T23:46:23.7941380Z     %select_77 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_109, 4, 0), kwargs = {})
2024-05-15T23:46:23.7942533Z     %mul_67 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_76, %select_77), kwargs = {})
2024-05-15T23:46:23.7943659Z     %select_78 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_108, 4, 1), kwargs = {})
2024-05-15T23:46:23.7944774Z     %select_79 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_109, 4, 1), kwargs = {})
2024-05-15T23:46:23.7945888Z     %mul_68 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_78, %select_79), kwargs = {})
2024-05-15T23:46:23.7946990Z     %sub_9 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_67, %mul_68), kwargs = {})
2024-05-15T23:46:23.7948120Z     %select_80 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_108, 4, 1), kwargs = {})
2024-05-15T23:46:23.7949230Z     %select_81 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_109, 4, 0), kwargs = {})
2024-05-15T23:46:23.7950353Z     %mul_69 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_80, %select_81), kwargs = {})
2024-05-15T23:46:23.7951472Z     %select_82 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_108, 4, 0), kwargs = {})
2024-05-15T23:46:23.7952570Z     %select_83 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_109, 4, 1), kwargs = {})
2024-05-15T23:46:23.7953678Z     %mul_70 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_82, %select_83), kwargs = {})
2024-05-15T23:46:23.7954789Z     %add_26 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_69, %mul_70), kwargs = {})
2024-05-15T23:46:23.7956029Z     %stack_9 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_9, %add_26], -1), kwargs = {})
2024-05-15T23:46:23.7957273Z     %view_110 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_9, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.7958578Z     %select_84 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:23.7959799Z     %_local_scalar_dense_4 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%select_84,), kwargs = {})
2024-05-15T23:46:23.7961215Z     %ge_4 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_4, -9223372036854775808), kwargs = {})
2024-05-15T23:46:23.7962411Z     %scalar_tensor_default_8 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_4,), kwargs = {})
2024-05-15T23:46:23.7964282Z     %_assert_async_msg_8 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_8, _local_scalar_dense_4 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7965903Z     %le_4 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_4, 9223372036854775807), kwargs = {})
2024-05-15T23:46:23.7967092Z     %scalar_tensor_default_9 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_4,), kwargs = {})
2024-05-15T23:46:23.7968948Z     %_assert_async_msg_9 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_9, _local_scalar_dense_4 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.7971930Z     %auto_functionalized_4 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %view_107, key: %view_110, value: %view_104, key_cache: %b_layers_4_attention_kv_cache_k_cache, value_cache: %b_layers_4_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_4, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:23.7974452Z     %getitem_74 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_4, 0), kwargs = {})
2024-05-15T23:46:23.7975557Z     %getitem_75 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_4, 1), kwargs = {})
2024-05-15T23:46:23.7976698Z     %getitem_76 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_4, 2), kwargs = {})
2024-05-15T23:46:23.7977854Z     %view_111 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%getitem_74, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7979145Z     %constant_pad_nd_31 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%view_111, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.7980840Z     %choose_qparams_per_token_asymmetric_31 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_31, torch.int8), kwargs = {})
2024-05-15T23:46:23.7982425Z     %getitem_77 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_31, 0), kwargs = {})
2024-05-15T23:46:23.7983673Z     %getitem_78 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_31, 1), kwargs = {})
2024-05-15T23:46:23.7985426Z     %quantize_per_token_31 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_31, %getitem_77, %getitem_78, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.7987670Z     %dequantize_per_token_31 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_31, %getitem_77, %getitem_78, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.7990250Z     %dequantize_per_channel_group_31 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wo_weight, %b_layers_4_attention_wo_scales, %b_layers_4_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.7992189Z     %t_31 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_31,), kwargs = {})
2024-05-15T23:46:23.7993457Z     %view_112 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_31, [1, 512]), kwargs = {})
2024-05-15T23:46:23.7994648Z     %mm_31 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_112, %t_31), kwargs = {})
2024-05-15T23:46:23.7995780Z     %view_113 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_31, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.7996924Z     %add_27 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_23, %view_113), kwargs = {})
2024-05-15T23:46:23.7998088Z     %mul_71 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_27, %add_27), kwargs = {})
2024-05-15T23:46:23.7999273Z     %mean_9 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_71, [-1], True), kwargs = {})
2024-05-15T23:46:23.8000449Z     %add_28 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_9, 1e-05), kwargs = {})
2024-05-15T23:46:23.8001635Z     %rsqrt_9 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_28,), kwargs = {})
2024-05-15T23:46:23.8002728Z     %mul_72 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_27, %rsqrt_9), kwargs = {})
2024-05-15T23:46:23.8003963Z     %mul_73 : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_72, %p_layers_4_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:23.8005275Z     %constant_pad_nd_32 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_73, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8006955Z     %choose_qparams_per_token_asymmetric_32 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_32, torch.int8), kwargs = {})
2024-05-15T23:46:23.8008548Z     %getitem_79 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_32, 0), kwargs = {})
2024-05-15T23:46:23.8009830Z     %getitem_80 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_32, 1), kwargs = {})
2024-05-15T23:46:23.8011568Z     %quantize_per_token_32 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_32, %getitem_79, %getitem_80, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8013795Z     %dequantize_per_token_32 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_32, %getitem_79, %getitem_80, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8016419Z     %dequantize_per_channel_group_32 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_feed_forward_w1_weight, %b_layers_4_feed_forward_w1_scales, %b_layers_4_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8018391Z     %t_32 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_32,), kwargs = {})
2024-05-15T23:46:23.8019652Z     %view_114 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_32, [1, 512]), kwargs = {})
2024-05-15T23:46:23.8020839Z     %mm_32 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_114, %t_32), kwargs = {})
2024-05-15T23:46:23.8021967Z     %view_115 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_32, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.8023091Z     %silu_4 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%view_115,), kwargs = {})
2024-05-15T23:46:23.8024298Z     %constant_pad_nd_33 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_73, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8025952Z     %choose_qparams_per_token_asymmetric_33 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_33, torch.int8), kwargs = {})
2024-05-15T23:46:23.8027544Z     %getitem_81 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_33, 0), kwargs = {})
2024-05-15T23:46:23.8028800Z     %getitem_82 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_33, 1), kwargs = {})
2024-05-15T23:46:23.8030535Z     %quantize_per_token_33 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_33, %getitem_81, %getitem_82, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8032726Z     %dequantize_per_token_33 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_33, %getitem_81, %getitem_82, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8035346Z     %dequantize_per_channel_group_33 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_feed_forward_w3_weight, %b_layers_4_feed_forward_w3_scales, %b_layers_4_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8037355Z     %t_33 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_33,), kwargs = {})
2024-05-15T23:46:23.8038702Z     %view_116 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_33, [1, 512]), kwargs = {})
2024-05-15T23:46:23.8039892Z     %mm_33 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_116, %t_33), kwargs = {})
2024-05-15T23:46:23.8041116Z     %view_117 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_33, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.8042294Z     %mul_74 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_4, %view_117), kwargs = {})
2024-05-15T23:46:23.8043537Z     %constant_pad_nd_34 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_74, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:23.8045210Z     %choose_qparams_per_token_asymmetric_34 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_34, torch.int8), kwargs = {})
2024-05-15T23:46:23.8046829Z     %getitem_83 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_34, 0), kwargs = {})
2024-05-15T23:46:23.8048088Z     %getitem_84 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_34, 1), kwargs = {})
2024-05-15T23:46:23.8049833Z     %quantize_per_token_34 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_34, %getitem_83, %getitem_84, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8052028Z     %dequantize_per_token_34 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_34, %getitem_83, %getitem_84, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8054647Z     %dequantize_per_channel_group_34 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_feed_forward_w2_weight, %b_layers_4_feed_forward_w2_scales, %b_layers_4_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8056617Z     %t_34 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_34,), kwargs = {})
2024-05-15T23:46:23.8057881Z     %view_118 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_34, [1, 768]), kwargs = {})
2024-05-15T23:46:23.8059072Z     %mm_34 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_118, %t_34), kwargs = {})
2024-05-15T23:46:23.8060197Z     %view_119 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_34, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.8061352Z     %add_29 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_27, %view_119), kwargs = {})
2024-05-15T23:46:23.8062461Z     %mul_75 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_29, %add_29), kwargs = {})
2024-05-15T23:46:23.8063660Z     %mean_10 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_75, [-1], True), kwargs = {})
2024-05-15T23:46:23.8064853Z     %add_30 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_10, 1e-05), kwargs = {})
2024-05-15T23:46:23.8065946Z     %rsqrt_10 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_30,), kwargs = {})
2024-05-15T23:46:23.8067055Z     %mul_76 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_29, %rsqrt_10), kwargs = {})
2024-05-15T23:46:23.8068274Z     %mul_77 : [num_users=3] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_76, %p_layers_5_attention_norm_weight), kwargs = {})
2024-05-15T23:46:23.8069668Z     %constant_pad_nd_35 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_77, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8071374Z     %choose_qparams_per_token_asymmetric_35 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_35, torch.int8), kwargs = {})
2024-05-15T23:46:23.8072990Z     %getitem_85 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_35, 0), kwargs = {})
2024-05-15T23:46:23.8074269Z     %getitem_86 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_35, 1), kwargs = {})
2024-05-15T23:46:23.8076020Z     %quantize_per_token_35 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_35, %getitem_85, %getitem_86, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8078310Z     %dequantize_per_token_35 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_35, %getitem_85, %getitem_86, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8081025Z     %dequantize_per_channel_group_35 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wq_weight, %b_layers_5_attention_wq_scales, %b_layers_5_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8082980Z     %t_35 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_35,), kwargs = {})
2024-05-15T23:46:23.8084242Z     %view_120 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_35, [1, 512]), kwargs = {})
2024-05-15T23:46:23.8085436Z     %mm_35 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_120, %t_35), kwargs = {})
2024-05-15T23:46:23.8086576Z     %view_121 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_35, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.8087846Z     %constant_pad_nd_36 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_77, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8089502Z     %choose_qparams_per_token_asymmetric_36 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_36, torch.int8), kwargs = {})
2024-05-15T23:46:23.8091109Z     %getitem_87 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_36, 0), kwargs = {})
2024-05-15T23:46:23.8092351Z     %getitem_88 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_36, 1), kwargs = {})
2024-05-15T23:46:23.8094091Z     %quantize_per_token_36 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_36, %getitem_87, %getitem_88, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8096283Z     %dequantize_per_token_36 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_36, %getitem_87, %getitem_88, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8098859Z     %dequantize_per_channel_group_36 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wk_weight, %b_layers_5_attention_wk_scales, %b_layers_5_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8100785Z     %t_36 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_36,), kwargs = {})
2024-05-15T23:46:23.8102080Z     %view_122 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_36, [1, 512]), kwargs = {})
2024-05-15T23:46:23.8103268Z     %mm_36 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_122, %t_36), kwargs = {})
2024-05-15T23:46:23.8104422Z     %view_123 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_36, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.8105685Z     %constant_pad_nd_37 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_77, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8107353Z     %choose_qparams_per_token_asymmetric_37 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_37, torch.int8), kwargs = {})
2024-05-15T23:46:23.8108946Z     %getitem_89 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_37, 0), kwargs = {})
2024-05-15T23:46:23.8110238Z     %getitem_90 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_37, 1), kwargs = {})
2024-05-15T23:46:23.8111987Z     %quantize_per_token_37 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_37, %getitem_89, %getitem_90, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8114177Z     %dequantize_per_token_37 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_37, %getitem_89, %getitem_90, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8116765Z     %dequantize_per_channel_group_37 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wv_weight, %b_layers_5_attention_wv_scales, %b_layers_5_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8118737Z     %t_37 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_37,), kwargs = {})
2024-05-15T23:46:23.8119986Z     %view_124 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_37, [1, 512]), kwargs = {})
2024-05-15T23:46:23.8121262Z     %mm_37 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_124, %t_37), kwargs = {})
2024-05-15T23:46:23.8122390Z     %view_125 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_37, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.8123566Z     %view_126 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_121, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.8124744Z     %view_127 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_123, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.8125930Z     %view_128 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%view_125, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.8127237Z     %view_129 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_126, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.8128436Z     %view_130 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.8129593Z     %select_85 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_129, 4, 0), kwargs = {})
2024-05-15T23:46:23.8130721Z     %select_86 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_130, 4, 0), kwargs = {})
2024-05-15T23:46:23.8131849Z     %mul_78 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_85, %select_86), kwargs = {})
2024-05-15T23:46:23.8132967Z     %select_87 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_129, 4, 1), kwargs = {})
2024-05-15T23:46:23.8134120Z     %select_88 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_130, 4, 1), kwargs = {})
2024-05-15T23:46:23.8135245Z     %mul_79 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_87, %select_88), kwargs = {})
2024-05-15T23:46:23.8136404Z     %sub_10 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_78, %mul_79), kwargs = {})
2024-05-15T23:46:23.8137508Z     %select_89 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_129, 4, 1), kwargs = {})
2024-05-15T23:46:23.8138615Z     %select_90 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_130, 4, 0), kwargs = {})
2024-05-15T23:46:23.8139774Z     %mul_80 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_89, %select_90), kwargs = {})
2024-05-15T23:46:23.8140904Z     %select_91 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_129, 4, 0), kwargs = {})
2024-05-15T23:46:23.8142039Z     %select_92 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_130, 4, 1), kwargs = {})
2024-05-15T23:46:23.8143168Z     %mul_81 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_91, %select_92), kwargs = {})
2024-05-15T23:46:23.8144294Z     %add_31 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_80, %mul_81), kwargs = {})
2024-05-15T23:46:23.8145547Z     %stack_10 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_10, %add_31], -1), kwargs = {})
2024-05-15T23:46:23.8146757Z     %view_131 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_10, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.8148087Z     %view_132 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%view_127, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:23.8149295Z     %view_133 : [num_users=4] = call_function[target=torch.ops.aten.view.default](args = (%index, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:23.8150445Z     %select_93 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_132, 4, 0), kwargs = {})
2024-05-15T23:46:23.8151563Z     %select_94 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_133, 4, 0), kwargs = {})
2024-05-15T23:46:23.8152703Z     %mul_82 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_93, %select_94), kwargs = {})
2024-05-15T23:46:23.8153846Z     %select_95 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_132, 4, 1), kwargs = {})
2024-05-15T23:46:23.8154937Z     %select_96 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_133, 4, 1), kwargs = {})
2024-05-15T23:46:23.8156078Z     %mul_83 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_95, %select_96), kwargs = {})
2024-05-15T23:46:23.8157203Z     %sub_11 : [num_users=1] = call_function[target=torch.ops.aten.sub.Tensor](args = (%mul_82, %mul_83), kwargs = {})
2024-05-15T23:46:23.8158354Z     %select_97 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_132, 4, 1), kwargs = {})
2024-05-15T23:46:23.8159448Z     %select_98 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_133, 4, 0), kwargs = {})
2024-05-15T23:46:23.8160568Z     %mul_84 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_97, %select_98), kwargs = {})
2024-05-15T23:46:23.8161776Z     %select_99 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_132, 4, 0), kwargs = {})
2024-05-15T23:46:23.8162883Z     %select_100 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%view_133, 4, 1), kwargs = {})
2024-05-15T23:46:23.8164008Z     %mul_85 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%select_99, %select_100), kwargs = {})
2024-05-15T23:46:23.8165174Z     %add_32 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mul_84, %mul_85), kwargs = {})
2024-05-15T23:46:23.8166418Z     %stack_11 : [num_users=1] = call_function[target=torch.ops.aten.stack.default](args = ([%sub_11, %add_32], -1), kwargs = {})
2024-05-15T23:46:23.8167630Z     %view_134 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%stack_11, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:23.8168885Z     %select_101 : [num_users=1] = call_function[target=torch.ops.aten.select.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:23.8170106Z     %_local_scalar_dense_5 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%select_101,), kwargs = {})
2024-05-15T23:46:23.8171445Z     %ge_5 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_5, -9223372036854775808), kwargs = {})
2024-05-15T23:46:23.8172630Z     %scalar_tensor_default_10 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_5,), kwargs = {})
2024-05-15T23:46:23.8174541Z     %_assert_async_msg_10 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_10, _local_scalar_dense_5 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.8176169Z     %le_5 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_5, 9223372036854775807), kwargs = {})
2024-05-15T23:46:23.8177343Z     %scalar_tensor_default_11 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_5,), kwargs = {})
2024-05-15T23:46:23.8179205Z     %_assert_async_msg_11 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_default_11, _local_scalar_dense_5 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:23.8182195Z     %auto_functionalized_5 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %view_131, key: %view_134, value: %view_128, key_cache: %b_layers_5_attention_kv_cache_k_cache, value_cache: %b_layers_5_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_5, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:23.8184659Z     %getitem_91 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_5, 0), kwargs = {})
2024-05-15T23:46:23.8185767Z     %getitem_92 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_5, 1), kwargs = {})
2024-05-15T23:46:23.8186883Z     %getitem_93 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_5, 2), kwargs = {})
2024-05-15T23:46:23.8188029Z     %view_135 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%getitem_91, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.8189314Z     %constant_pad_nd_38 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%view_135, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8190971Z     %choose_qparams_per_token_asymmetric_38 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_38, torch.int8), kwargs = {})
2024-05-15T23:46:23.8192555Z     %getitem_94 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_38, 0), kwargs = {})
2024-05-15T23:46:23.8193794Z     %getitem_95 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_38, 1), kwargs = {})
2024-05-15T23:46:23.8195540Z     %quantize_per_token_38 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_38, %getitem_94, %getitem_95, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8197809Z     %dequantize_per_token_38 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_38, %getitem_94, %getitem_95, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8200416Z     %dequantize_per_channel_group_38 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wo_weight, %b_layers_5_attention_wo_scales, %b_layers_5_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8202521Z     %t_38 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_38,), kwargs = {})
2024-05-15T23:46:23.8203799Z     %view_136 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_38, [1, 512]), kwargs = {})
2024-05-15T23:46:23.8204988Z     %mm_38 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_136, %t_38), kwargs = {})
2024-05-15T23:46:23.8206142Z     %view_137 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_38, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:23.8215363Z     %add_33 : [num_users=3] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_29, %view_137), kwargs = {})
2024-05-15T23:46:23.8216516Z     %mul_86 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_33, %add_33), kwargs = {})
2024-05-15T23:46:23.8217731Z     %mean_11 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_86, [-1], True), kwargs = {})
2024-05-15T23:46:23.8218913Z     %add_34 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_11, 1e-05), kwargs = {})
2024-05-15T23:46:23.8220005Z     %rsqrt_11 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_34,), kwargs = {})
2024-05-15T23:46:23.8221098Z     %mul_87 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_33, %rsqrt_11), kwargs = {})
2024-05-15T23:46:23.8222299Z     %mul_88 : [num_users=2] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_87, %p_layers_5_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:23.8223615Z     %constant_pad_nd_39 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_88, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8225279Z     %choose_qparams_per_token_asymmetric_39 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_39, torch.int8), kwargs = {})
2024-05-15T23:46:23.8226867Z     %getitem_96 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_39, 0), kwargs = {})
2024-05-15T23:46:23.8228117Z     %getitem_97 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_39, 1), kwargs = {})
2024-05-15T23:46:23.8229848Z     %quantize_per_token_39 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_39, %getitem_96, %getitem_97, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8232056Z     %dequantize_per_token_39 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_39, %getitem_96, %getitem_97, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8234657Z     %dequantize_per_channel_group_39 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_feed_forward_w1_weight, %b_layers_5_feed_forward_w1_scales, %b_layers_5_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:23.8236618Z     %t_39 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_39,), kwargs = {})
2024-05-15T23:46:23.8237951Z     %view_138 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_39, [1, 512]), kwargs = {})
2024-05-15T23:46:23.8239220Z     %mm_39 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_138, %t_39), kwargs = {})
2024-05-15T23:46:23.8240373Z     %view_139 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_39, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:23.8241732Z     %silu_5 : [num_users=1] = call_function[target=torch.ops.aten.silu.default](args = (%view_139,), kwargs = {})
2024-05-15T23:46:23.8242947Z     %constant_pad_nd_40 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_88, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:23.8244643Z     %choose_qparams_per_token_asymmetric_40 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_40, torch.int8), kwargs = {})
2024-05-15T23:46:23.8246224Z     %getitem_98 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_40, 0), kwargs = {})
2024-05-15T23:46:23.8247559Z     %getitem_99 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_40, 1), kwargs = {})
2024-05-15T23:46:23.8249306Z     %quantize_per_token_40 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_40, %getitem_98, %getitem_99, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:23.8250446Z     %dequantize_per_token_40 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_40, %getitem_98, %getitem_99, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:23.8251921Z     %dequantize_per_channel_group_40 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_feed_forward_w3_weight, %b_layers_5_feed_forward_w3_scales, %b_layers_5_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.6991704Z     %t_40 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_40,), kwargs = {})
2024-05-15T23:46:28.6993447Z     %view_140 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_40, [1, 512]), kwargs = {})
2024-05-15T23:46:28.6995025Z     %mm_40 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_140, %t_40), kwargs = {})
2024-05-15T23:46:28.6996541Z     %view_141 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_40, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.6998255Z     %mul_89 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%silu_5, %view_141), kwargs = {})
2024-05-15T23:46:28.6999941Z     %constant_pad_nd_41 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_89, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:28.7002450Z     %choose_qparams_per_token_asymmetric_41 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_41, torch.int8), kwargs = {})
2024-05-15T23:46:28.7004621Z     %getitem_100 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_41, 0), kwargs = {})
2024-05-15T23:46:28.7006326Z     %getitem_101 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_41, 1), kwargs = {})
2024-05-15T23:46:28.7008620Z     %quantize_per_token_41 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_41, %getitem_100, %getitem_101, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7011411Z     %dequantize_per_token_41 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_41, %getitem_100, %getitem_101, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7015201Z     %dequantize_per_channel_group_41 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_feed_forward_w2_weight, %b_layers_5_feed_forward_w2_scales, %b_layers_5_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7017673Z     %t_41 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_41,), kwargs = {})
2024-05-15T23:46:28.7019086Z     %view_142 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_41, [1, 768]), kwargs = {})
2024-05-15T23:46:28.7020767Z     %mm_41 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_142, %t_41), kwargs = {})
2024-05-15T23:46:28.7022206Z     %view_143 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_41, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7023645Z     %add_35 : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%add_33, %view_143), kwargs = {})
2024-05-15T23:46:28.7024985Z     %mul_90 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_35, %add_35), kwargs = {})
2024-05-15T23:46:28.7026452Z     %mean_12 : [num_users=1] = call_function[target=torch.ops.aten.mean.dim](args = (%mul_90, [-1], True), kwargs = {})
2024-05-15T23:46:28.7028021Z     %add_36 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mean_12, 1e-05), kwargs = {})
2024-05-15T23:46:28.7029513Z     %rsqrt_12 : [num_users=1] = call_function[target=torch.ops.aten.rsqrt.default](args = (%add_36,), kwargs = {})
2024-05-15T23:46:28.7030903Z     %mul_91 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_35, %rsqrt_12), kwargs = {})
2024-05-15T23:46:28.7032375Z     %mul_92 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_91, %p_norm_weight), kwargs = {})
2024-05-15T23:46:28.7033858Z     %constant_pad_nd_42 : [num_users=2] = call_function[target=torch.ops.aten.constant_pad_nd.default](args = (%mul_92, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7036003Z     %choose_qparams_per_token_asymmetric_42 : [num_users=2] = call_function[target=torch.ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%constant_pad_nd_42, torch.int8), kwargs = {})
2024-05-15T23:46:28.7038266Z     %getitem_102 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_42, 0), kwargs = {})
2024-05-15T23:46:28.7039893Z     %getitem_103 : [num_users=2] = call_function[target=operator.getitem](args = (%choose_qparams_per_token_asymmetric_42, 1), kwargs = {})
2024-05-15T23:46:28.7042217Z     %quantize_per_token_42 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.quantize_per_token.default](args = (%constant_pad_nd_42, %getitem_102, %getitem_103, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7044438Z     %dequantize_per_token_42 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_token.default](args = (%quantize_per_token_42, %getitem_102, %getitem_103, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7046811Z     %dequantize_per_channel_group_42 : [num_users=1] = call_function[target=torch.ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_output_weight, %b_output_scales, %b_output_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7048568Z     %t_42 : [num_users=1] = call_function[target=torch.ops.aten.t.default](args = (%dequantize_per_channel_group_42,), kwargs = {})
2024-05-15T23:46:28.7049825Z     %view_144 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%dequantize_per_token_42, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7050999Z     %mm_42 : [num_users=1] = call_function[target=torch.ops.aten.mm.default](args = (%view_144, %t_42), kwargs = {})
2024-05-15T23:46:28.7052218Z     %view_145 : [num_users=1] = call_function[target=torch.ops.aten.view.default](args = (%mm_42, [1, 1, 32000]), kwargs = {})
2024-05-15T23:46:28.7053581Z     return (getitem_7, getitem_8, getitem_24, getitem_25, getitem_41, getitem_42, getitem_58, getitem_59, getitem_75, getitem_76, getitem_92, getitem_93, view_145)
2024-05-15T23:46:28.7054494Z Exported graph:
2024-05-15T23:46:28.7054778Z graph():
2024-05-15T23:46:28.7055355Z     %p_layers_0_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_0_attention_norm_weight]
2024-05-15T23:46:28.7056282Z     %p_layers_0_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_0_ffn_norm_weight]
2024-05-15T23:46:28.7057222Z     %p_layers_1_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_1_attention_norm_weight]
2024-05-15T23:46:28.7058191Z     %p_layers_1_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_1_ffn_norm_weight]
2024-05-15T23:46:28.7059140Z     %p_layers_2_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_2_attention_norm_weight]
2024-05-15T23:46:28.7060041Z     %p_layers_2_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_2_ffn_norm_weight]
2024-05-15T23:46:28.7060958Z     %p_layers_3_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_3_attention_norm_weight]
2024-05-15T23:46:28.7061870Z     %p_layers_3_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_3_ffn_norm_weight]
2024-05-15T23:46:28.7062784Z     %p_layers_4_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_4_attention_norm_weight]
2024-05-15T23:46:28.7063700Z     %p_layers_4_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_4_ffn_norm_weight]
2024-05-15T23:46:28.7064617Z     %p_layers_5_attention_norm_weight : [num_users=1] = placeholder[target=p_layers_5_attention_norm_weight]
2024-05-15T23:46:28.7065915Z     %p_layers_5_ffn_norm_weight : [num_users=1] = placeholder[target=p_layers_5_ffn_norm_weight]
2024-05-15T23:46:28.7066688Z     %p_norm_weight : [num_users=1] = placeholder[target=p_norm_weight]
2024-05-15T23:46:28.7067339Z     %b_freqs_cis : [num_users=1] = placeholder[target=b_freqs_cis]
2024-05-15T23:46:28.7068071Z     %b_tok_embeddings_weight : [num_users=1] = placeholder[target=b_tok_embeddings_weight]
2024-05-15T23:46:28.7068902Z     %b_tok_embeddings_scales : [num_users=1] = placeholder[target=b_tok_embeddings_scales]
2024-05-15T23:46:28.7069774Z     %b_layers_0_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wq_weight]
2024-05-15T23:46:28.7070708Z     %b_layers_0_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wq_scales]
2024-05-15T23:46:28.7071626Z     %b_layers_0_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wq_zeros]
2024-05-15T23:46:28.7072539Z     %b_layers_0_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wk_weight]
2024-05-15T23:46:28.7073459Z     %b_layers_0_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wk_scales]
2024-05-15T23:46:28.7074379Z     %b_layers_0_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wk_zeros]
2024-05-15T23:46:28.7075293Z     %b_layers_0_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wv_weight]
2024-05-15T23:46:28.7076210Z     %b_layers_0_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wv_scales]
2024-05-15T23:46:28.7077136Z     %b_layers_0_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wv_zeros]
2024-05-15T23:46:28.7078206Z     %b_layers_0_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_k_cache]
2024-05-15T23:46:28.7079236Z     %b_layers_0_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_0_attention_kv_cache_v_cache]
2024-05-15T23:46:28.7080208Z     %b_layers_0_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_0_attention_wo_weight]
2024-05-15T23:46:28.7081307Z     %b_layers_0_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_0_attention_wo_scales]
2024-05-15T23:46:28.7082219Z     %b_layers_0_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_0_attention_wo_zeros]
2024-05-15T23:46:28.7083201Z     %b_layers_0_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w1_weight]
2024-05-15T23:46:28.7084308Z     %b_layers_0_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w1_scales]
2024-05-15T23:46:28.7085408Z     %b_layers_0_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w1_zeros]
2024-05-15T23:46:28.7086533Z     %b_layers_0_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w3_weight]
2024-05-15T23:46:28.7087624Z     %b_layers_0_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w3_scales]
2024-05-15T23:46:28.7088772Z     %b_layers_0_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w3_zeros]
2024-05-15T23:46:28.7089901Z     %b_layers_0_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w2_weight]
2024-05-15T23:46:28.7090992Z     %b_layers_0_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w2_scales]
2024-05-15T23:46:28.7092092Z     %b_layers_0_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_0_feed_forward_w2_zeros]
2024-05-15T23:46:28.7093155Z     %b_layers_1_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wq_weight]
2024-05-15T23:46:28.7094210Z     %b_layers_1_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wq_scales]
2024-05-15T23:46:28.7095237Z     %b_layers_1_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wq_zeros]
2024-05-15T23:46:28.7096281Z     %b_layers_1_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wk_weight]
2024-05-15T23:46:28.7097339Z     %b_layers_1_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wk_scales]
2024-05-15T23:46:28.7098365Z     %b_layers_1_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wk_zeros]
2024-05-15T23:46:28.7099407Z     %b_layers_1_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wv_weight]
2024-05-15T23:46:28.7100461Z     %b_layers_1_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wv_scales]
2024-05-15T23:46:28.7101493Z     %b_layers_1_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wv_zeros]
2024-05-15T23:46:28.7102609Z     %b_layers_1_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_k_cache]
2024-05-15T23:46:28.7103807Z     %b_layers_1_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_1_attention_kv_cache_v_cache]
2024-05-15T23:46:28.7104920Z     %b_layers_1_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_1_attention_wo_weight]
2024-05-15T23:46:28.7105973Z     %b_layers_1_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_1_attention_wo_scales]
2024-05-15T23:46:28.7107004Z     %b_layers_1_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_1_attention_wo_zeros]
2024-05-15T23:46:28.7108073Z     %b_layers_1_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w1_weight]
2024-05-15T23:46:28.7109218Z     %b_layers_1_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w1_scales]
2024-05-15T23:46:28.7110310Z     %b_layers_1_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w1_zeros]
2024-05-15T23:46:28.7111400Z     %b_layers_1_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w3_weight]
2024-05-15T23:46:28.7112495Z     %b_layers_1_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w3_scales]
2024-05-15T23:46:28.7113633Z     %b_layers_1_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w3_zeros]
2024-05-15T23:46:28.7114720Z     %b_layers_1_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w2_weight]
2024-05-15T23:46:28.7115835Z     %b_layers_1_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w2_scales]
2024-05-15T23:46:28.7116920Z     %b_layers_1_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_1_feed_forward_w2_zeros]
2024-05-15T23:46:28.7118015Z     %b_layers_2_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wq_weight]
2024-05-15T23:46:28.7119024Z     %b_layers_2_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wq_scales]
2024-05-15T23:46:28.7119944Z     %b_layers_2_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wq_zeros]
2024-05-15T23:46:28.7120984Z     %b_layers_2_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wk_weight]
2024-05-15T23:46:28.7121901Z     %b_layers_2_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wk_scales]
2024-05-15T23:46:28.7122827Z     %b_layers_2_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wk_zeros]
2024-05-15T23:46:28.7123741Z     %b_layers_2_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wv_weight]
2024-05-15T23:46:28.7124653Z     %b_layers_2_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wv_scales]
2024-05-15T23:46:28.7125563Z     %b_layers_2_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wv_zeros]
2024-05-15T23:46:28.7126546Z     %b_layers_2_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_k_cache]
2024-05-15T23:46:28.7127598Z     %b_layers_2_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_2_attention_kv_cache_v_cache]
2024-05-15T23:46:28.7128569Z     %b_layers_2_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_2_attention_wo_weight]
2024-05-15T23:46:28.7129498Z     %b_layers_2_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_2_attention_wo_scales]
2024-05-15T23:46:28.7130417Z     %b_layers_2_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_2_attention_wo_zeros]
2024-05-15T23:46:28.7131360Z     %b_layers_2_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w1_weight]
2024-05-15T23:46:28.7132316Z     %b_layers_2_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w1_scales]
2024-05-15T23:46:28.7133277Z     %b_layers_2_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w1_zeros]
2024-05-15T23:46:28.7134242Z     %b_layers_2_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w3_weight]
2024-05-15T23:46:28.7135202Z     %b_layers_2_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w3_scales]
2024-05-15T23:46:28.7136166Z     %b_layers_2_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w3_zeros]
2024-05-15T23:46:28.7137127Z     %b_layers_2_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w2_weight]
2024-05-15T23:46:28.7138084Z     %b_layers_2_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w2_scales]
2024-05-15T23:46:28.7139039Z     %b_layers_2_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_2_feed_forward_w2_zeros]
2024-05-15T23:46:28.7139975Z     %b_layers_3_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wq_weight]
2024-05-15T23:46:28.7140906Z     %b_layers_3_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wq_scales]
2024-05-15T23:46:28.7141826Z     %b_layers_3_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wq_zeros]
2024-05-15T23:46:28.7142796Z     %b_layers_3_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wk_weight]
2024-05-15T23:46:28.7143725Z     %b_layers_3_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wk_scales]
2024-05-15T23:46:28.7144669Z     %b_layers_3_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wk_zeros]
2024-05-15T23:46:28.7145582Z     %b_layers_3_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wv_weight]
2024-05-15T23:46:28.7146509Z     %b_layers_3_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wv_scales]
2024-05-15T23:46:28.7147453Z     %b_layers_3_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wv_zeros]
2024-05-15T23:46:28.7148441Z     %b_layers_3_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_k_cache]
2024-05-15T23:46:28.7149519Z     %b_layers_3_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_3_attention_kv_cache_v_cache]
2024-05-15T23:46:28.7150503Z     %b_layers_3_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_3_attention_wo_weight]
2024-05-15T23:46:28.7151433Z     %b_layers_3_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_3_attention_wo_scales]
2024-05-15T23:46:28.7152339Z     %b_layers_3_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_3_attention_wo_zeros]
2024-05-15T23:46:28.7153285Z     %b_layers_3_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w1_weight]
2024-05-15T23:46:28.7154254Z     %b_layers_3_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w1_scales]
2024-05-15T23:46:28.7155217Z     %b_layers_3_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w1_zeros]
2024-05-15T23:46:28.7156174Z     %b_layers_3_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w3_weight]
2024-05-15T23:46:28.7157144Z     %b_layers_3_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w3_scales]
2024-05-15T23:46:28.7158205Z     %b_layers_3_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w3_zeros]
2024-05-15T23:46:28.7159167Z     %b_layers_3_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w2_weight]
2024-05-15T23:46:28.7160135Z     %b_layers_3_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w2_scales]
2024-05-15T23:46:28.7161190Z     %b_layers_3_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_3_feed_forward_w2_zeros]
2024-05-15T23:46:28.7162133Z     %b_layers_4_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wq_weight]
2024-05-15T23:46:28.7163057Z     %b_layers_4_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wq_scales]
2024-05-15T23:46:28.7163989Z     %b_layers_4_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wq_zeros]
2024-05-15T23:46:28.7164907Z     %b_layers_4_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wk_weight]
2024-05-15T23:46:28.7165829Z     %b_layers_4_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wk_scales]
2024-05-15T23:46:28.7166745Z     %b_layers_4_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wk_zeros]
2024-05-15T23:46:28.7167659Z     %b_layers_4_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wv_weight]
2024-05-15T23:46:28.7168584Z     %b_layers_4_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wv_scales]
2024-05-15T23:46:28.7169491Z     %b_layers_4_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wv_zeros]
2024-05-15T23:46:28.7170477Z     %b_layers_4_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_k_cache]
2024-05-15T23:46:28.7171578Z     %b_layers_4_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_4_attention_kv_cache_v_cache]
2024-05-15T23:46:28.7172554Z     %b_layers_4_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_4_attention_wo_weight]
2024-05-15T23:46:28.7173510Z     %b_layers_4_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_4_attention_wo_scales]
2024-05-15T23:46:28.7174428Z     %b_layers_4_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_4_attention_wo_zeros]
2024-05-15T23:46:28.7175372Z     %b_layers_4_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w1_weight]
2024-05-15T23:46:28.7176360Z     %b_layers_4_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w1_scales]
2024-05-15T23:46:28.7177331Z     %b_layers_4_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w1_zeros]
2024-05-15T23:46:28.7178327Z     %b_layers_4_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w3_weight]
2024-05-15T23:46:28.7179335Z     %b_layers_4_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w3_scales]
2024-05-15T23:46:28.7180290Z     %b_layers_4_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w3_zeros]
2024-05-15T23:46:28.7181254Z     %b_layers_4_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w2_weight]
2024-05-15T23:46:28.7182210Z     %b_layers_4_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w2_scales]
2024-05-15T23:46:28.7183164Z     %b_layers_4_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_4_feed_forward_w2_zeros]
2024-05-15T23:46:28.7184106Z     %b_layers_5_attention_wq_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wq_weight]
2024-05-15T23:46:28.7185035Z     %b_layers_5_attention_wq_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wq_scales]
2024-05-15T23:46:28.7185957Z     %b_layers_5_attention_wq_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wq_zeros]
2024-05-15T23:46:28.7186865Z     %b_layers_5_attention_wk_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wk_weight]
2024-05-15T23:46:28.7187799Z     %b_layers_5_attention_wk_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wk_scales]
2024-05-15T23:46:28.7188748Z     %b_layers_5_attention_wk_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wk_zeros]
2024-05-15T23:46:28.7189684Z     %b_layers_5_attention_wv_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wv_weight]
2024-05-15T23:46:28.7190598Z     %b_layers_5_attention_wv_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wv_scales]
2024-05-15T23:46:28.7191513Z     %b_layers_5_attention_wv_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wv_zeros]
2024-05-15T23:46:28.7192501Z     %b_layers_5_attention_kv_cache_k_cache : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_k_cache]
2024-05-15T23:46:28.7193537Z     %b_layers_5_attention_kv_cache_v_cache : [num_users=1] = placeholder[target=b_layers_5_attention_kv_cache_v_cache]
2024-05-15T23:46:28.7194523Z     %b_layers_5_attention_wo_weight : [num_users=1] = placeholder[target=b_layers_5_attention_wo_weight]
2024-05-15T23:46:28.7195454Z     %b_layers_5_attention_wo_scales : [num_users=1] = placeholder[target=b_layers_5_attention_wo_scales]
2024-05-15T23:46:28.7196371Z     %b_layers_5_attention_wo_zeros : [num_users=1] = placeholder[target=b_layers_5_attention_wo_zeros]
2024-05-15T23:46:28.7197307Z     %b_layers_5_feed_forward_w1_weight : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w1_weight]
2024-05-15T23:46:28.7198322Z     %b_layers_5_feed_forward_w1_scales : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w1_scales]
2024-05-15T23:46:28.7199284Z     %b_layers_5_feed_forward_w1_zeros : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w1_zeros]
2024-05-15T23:46:28.7200276Z     %b_layers_5_feed_forward_w3_weight : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w3_weight]
2024-05-15T23:46:28.7201332Z     %b_layers_5_feed_forward_w3_scales : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w3_scales]
2024-05-15T23:46:28.7202334Z     %b_layers_5_feed_forward_w3_zeros : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w3_zeros]
2024-05-15T23:46:28.7203296Z     %b_layers_5_feed_forward_w2_weight : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w2_weight]
2024-05-15T23:46:28.7204249Z     %b_layers_5_feed_forward_w2_scales : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w2_scales]
2024-05-15T23:46:28.7205237Z     %b_layers_5_feed_forward_w2_zeros : [num_users=1] = placeholder[target=b_layers_5_feed_forward_w2_zeros]
2024-05-15T23:46:28.7206058Z     %b_output_weight : [num_users=1] = placeholder[target=b_output_weight]
2024-05-15T23:46:28.7206779Z     %b_output_scales : [num_users=1] = placeholder[target=b_output_scales]
2024-05-15T23:46:28.7207465Z     %b_output_zeros : [num_users=1] = placeholder[target=b_output_zeros]
2024-05-15T23:46:28.7208289Z     %_lifted_tensor_constant144 : [num_users=1] = placeholder[target=_lifted_tensor_constant144]
2024-05-15T23:46:28.7209157Z     %_lifted_tensor_constant145 : [num_users=1] = placeholder[target=_lifted_tensor_constant145]
2024-05-15T23:46:28.7210009Z     %_lifted_tensor_constant146 : [num_users=1] = placeholder[target=_lifted_tensor_constant146]
2024-05-15T23:46:28.7210865Z     %_lifted_tensor_constant147 : [num_users=1] = placeholder[target=_lifted_tensor_constant147]
2024-05-15T23:46:28.7211724Z     %_lifted_tensor_constant148 : [num_users=1] = placeholder[target=_lifted_tensor_constant148]
2024-05-15T23:46:28.7212568Z     %_lifted_tensor_constant149 : [num_users=1] = placeholder[target=_lifted_tensor_constant149]
2024-05-15T23:46:28.7213414Z     %_lifted_tensor_constant150 : [num_users=1] = placeholder[target=_lifted_tensor_constant150]
2024-05-15T23:46:28.7214267Z     %_lifted_tensor_constant151 : [num_users=1] = placeholder[target=_lifted_tensor_constant151]
2024-05-15T23:46:28.7215116Z     %_lifted_tensor_constant152 : [num_users=1] = placeholder[target=_lifted_tensor_constant152]
2024-05-15T23:46:28.7215954Z     %_lifted_tensor_constant153 : [num_users=1] = placeholder[target=_lifted_tensor_constant153]
2024-05-15T23:46:28.7216801Z     %_lifted_tensor_constant154 : [num_users=1] = placeholder[target=_lifted_tensor_constant154]
2024-05-15T23:46:28.7217648Z     %_lifted_tensor_constant155 : [num_users=1] = placeholder[target=_lifted_tensor_constant155]
2024-05-15T23:46:28.7218489Z     %_lifted_tensor_constant156 : [num_users=1] = placeholder[target=_lifted_tensor_constant156]
2024-05-15T23:46:28.7219213Z     %idx : [num_users=1] = placeholder[target=idx]
2024-05-15T23:46:28.7219776Z     %input_pos : [num_users=7] = placeholder[target=input_pos]
2024-05-15T23:46:28.7220878Z     %aten_index_tensor : [num_users=12] = call_function[target=executorch.exir.dialects.edge._ops.aten.index.Tensor](args = (%b_freqs_cis, [%input_pos]), kwargs = {})
2024-05-15T23:46:28.7222939Z     %quantized_decomposed_embedding_4bit_dtype : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.embedding_4bit.dtype](args = (%b_tok_embeddings_weight, %b_tok_embeddings_scales, None, 0, 0, %idx), kwargs = {dtype: torch.float32})
2024-05-15T23:46:28.7225226Z     %aten_mul_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_embedding_4bit_dtype, %quantized_decomposed_embedding_4bit_dtype), kwargs = {})
2024-05-15T23:46:28.7227117Z     %aten_mean_dim : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor, [-1], True), kwargs = {})
2024-05-15T23:46:28.7228700Z     %aten_add_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim, %_lifted_tensor_constant144), kwargs = {})
2024-05-15T23:46:28.7230378Z     %aten_rsqrt_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor,), kwargs = {})
2024-05-15T23:46:28.7232085Z     %aten_mul_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%quantized_decomposed_embedding_4bit_dtype, %aten_rsqrt_default), kwargs = {})
2024-05-15T23:46:28.7233892Z     %aten_mul_tensor_2 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_1, %p_layers_0_attention_norm_weight), kwargs = {})
2024-05-15T23:46:28.7235680Z     %aten_constant_pad_nd_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_2, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7237882Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default, torch.int8), kwargs = {})
2024-05-15T23:46:28.7239885Z     %getitem : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default, 0), kwargs = {})
2024-05-15T23:46:28.7241441Z     %getitem_1 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default, 1), kwargs = {})
2024-05-15T23:46:28.7243611Z     %quantized_decomposed_quantize_per_token_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default, %getitem, %getitem_1, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7246438Z     %quantized_decomposed_dequantize_per_token_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default, %getitem, %getitem_1, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7249613Z     %quantized_decomposed_dequantize_per_channel_group_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wq_weight, %b_layers_0_attention_wq_scales, %b_layers_0_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7252181Z     %aten_permute_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7254156Z     %aten_view_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7255987Z     %aten_mm_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default, %aten_permute_copy_default), kwargs = {})
2024-05-15T23:46:28.7257687Z     %aten_view_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7259468Z     %aten_constant_pad_nd_default_1 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_2, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7261633Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_1 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_1, torch.int8), kwargs = {})
2024-05-15T23:46:28.7263690Z     %getitem_2 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_1, 0), kwargs = {})
2024-05-15T23:46:28.7265206Z     %getitem_3 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_1, 1), kwargs = {})
2024-05-15T23:46:28.7267395Z     %quantized_decomposed_quantize_per_token_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_1, %getitem_2, %getitem_3, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7270342Z     %quantized_decomposed_dequantize_per_token_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_1, %getitem_2, %getitem_3, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7273563Z     %quantized_decomposed_dequantize_per_channel_group_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wk_weight, %b_layers_0_attention_wk_scales, %b_layers_0_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7276142Z     %aten_permute_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_1, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7278180Z     %aten_view_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_1, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7280043Z     %aten_mm_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_2, %aten_permute_copy_default_1), kwargs = {})
2024-05-15T23:46:28.7281989Z     %aten_view_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_1, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7283732Z     %aten_constant_pad_nd_default_2 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_2, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7285883Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_2 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_2, torch.int8), kwargs = {})
2024-05-15T23:46:28.7287871Z     %getitem_4 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_2, 0), kwargs = {})
2024-05-15T23:46:28.7289354Z     %getitem_5 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_2, 1), kwargs = {})
2024-05-15T23:46:28.7291527Z     %quantized_decomposed_quantize_per_token_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_2, %getitem_4, %getitem_5, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7294378Z     %quantized_decomposed_dequantize_per_token_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_2, %getitem_4, %getitem_5, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7297551Z     %quantized_decomposed_dequantize_per_channel_group_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wv_weight, %b_layers_0_attention_wv_scales, %b_layers_0_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7300282Z     %aten_permute_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_2, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7302282Z     %aten_view_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_2, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7304177Z     %aten_mm_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_4, %aten_permute_copy_default_2), kwargs = {})
2024-05-15T23:46:28.7305908Z     %aten_view_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_2, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7307655Z     %aten_view_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_1, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7309428Z     %aten_view_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_3, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7311149Z     %aten_view_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_5, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7313030Z     %aten_view_copy_default_9 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_6, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.7314769Z     %aten_view_copy_default_10 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.7316451Z     %aten_select_copy_int : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_9, 4, 0), kwargs = {})
2024-05-15T23:46:28.7318136Z     %aten_select_copy_int_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_10, 4, 0), kwargs = {})
2024-05-15T23:46:28.7319810Z     %aten_mul_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int, %aten_select_copy_int_1), kwargs = {})
2024-05-15T23:46:28.7321582Z     %aten_select_copy_int_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_9, 4, 1), kwargs = {})
2024-05-15T23:46:28.7323232Z     %aten_select_copy_int_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_10, 4, 1), kwargs = {})
2024-05-15T23:46:28.7324895Z     %aten_mul_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_2, %aten_select_copy_int_3), kwargs = {})
2024-05-15T23:46:28.7326543Z     %aten_sub_tensor : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_3, %aten_mul_tensor_4), kwargs = {})
2024-05-15T23:46:28.7328173Z     %aten_select_copy_int_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_9, 4, 1), kwargs = {})
2024-05-15T23:46:28.7329817Z     %aten_select_copy_int_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_10, 4, 0), kwargs = {})
2024-05-15T23:46:28.7331526Z     %aten_mul_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_4, %aten_select_copy_int_5), kwargs = {})
2024-05-15T23:46:28.7333220Z     %aten_select_copy_int_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_9, 4, 0), kwargs = {})
2024-05-15T23:46:28.7334858Z     %aten_select_copy_int_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_10, 4, 1), kwargs = {})
2024-05-15T23:46:28.7336542Z     %aten_mul_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_6, %aten_select_copy_int_7), kwargs = {})
2024-05-15T23:46:28.7338205Z     %aten_add_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_5, %aten_mul_tensor_6), kwargs = {})
2024-05-15T23:46:28.7339870Z     %aten_unsqueeze_copy_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor, 4), kwargs = {})
2024-05-15T23:46:28.7341549Z     %aten_unsqueeze_copy_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_1, 4), kwargs = {})
2024-05-15T23:46:28.7343465Z     %aten_cat_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default, %aten_unsqueeze_copy_default_1], -1), kwargs = {})
2024-05-15T23:46:28.7345249Z     %aten_view_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7347105Z     %aten_view_copy_default_12 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_7, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.7348858Z     %aten_view_copy_default_13 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.7350536Z     %aten_select_copy_int_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_12, 4, 0), kwargs = {})
2024-05-15T23:46:28.7352185Z     %aten_select_copy_int_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_13, 4, 0), kwargs = {})
2024-05-15T23:46:28.7353848Z     %aten_mul_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_8, %aten_select_copy_int_9), kwargs = {})
2024-05-15T23:46:28.7355522Z     %aten_select_copy_int_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_12, 4, 1), kwargs = {})
2024-05-15T23:46:28.7357182Z     %aten_select_copy_int_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_13, 4, 1), kwargs = {})
2024-05-15T23:46:28.7358907Z     %aten_mul_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_10, %aten_select_copy_int_11), kwargs = {})
2024-05-15T23:46:28.7360568Z     %aten_sub_tensor_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_7, %aten_mul_tensor_8), kwargs = {})
2024-05-15T23:46:28.7362293Z     %aten_select_copy_int_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_12, 4, 1), kwargs = {})
2024-05-15T23:46:28.7363992Z     %aten_select_copy_int_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_13, 4, 0), kwargs = {})
2024-05-15T23:46:28.7365703Z     %aten_mul_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_12, %aten_select_copy_int_13), kwargs = {})
2024-05-15T23:46:28.7367375Z     %aten_select_copy_int_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_12, 4, 0), kwargs = {})
2024-05-15T23:46:28.7369053Z     %aten_select_copy_int_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_13, 4, 1), kwargs = {})
2024-05-15T23:46:28.7370733Z     %aten_mul_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_14, %aten_select_copy_int_15), kwargs = {})
2024-05-15T23:46:28.7372440Z     %aten_add_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_9, %aten_mul_tensor_10), kwargs = {})
2024-05-15T23:46:28.7374100Z     %aten_unsqueeze_copy_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_1, 4), kwargs = {})
2024-05-15T23:46:28.7375782Z     %aten_unsqueeze_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_2, 4), kwargs = {})
2024-05-15T23:46:28.7377700Z     %aten_cat_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_2, %aten_unsqueeze_copy_default_3], -1), kwargs = {})
2024-05-15T23:46:28.7379543Z     %aten_view_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_1, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7381274Z     %aten_select_copy_int_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:28.7382753Z     %_local_scalar_dense : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%aten_select_copy_int_16,), kwargs = {})
2024-05-15T23:46:28.7384088Z     %ge : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense, -9223372036854775808), kwargs = {})
2024-05-15T23:46:28.7385202Z     %scalar_tensor : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge,), kwargs = {})
2024-05-15T23:46:28.7386915Z     %_assert_async : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor, _local_scalar_dense is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.7388500Z     %le : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense, 9223372036854775807), kwargs = {})
2024-05-15T23:46:28.7389621Z     %scalar_tensor_1 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le,), kwargs = {})
2024-05-15T23:46:28.7391345Z     %_assert_async_1 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_1, _local_scalar_dense is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.7394443Z     %auto_functionalized : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %aten_view_copy_default_11, key: %aten_view_copy_default_14, value: %aten_view_copy_default_8, key_cache: %b_layers_0_attention_kv_cache_k_cache, value_cache: %b_layers_0_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:28.7397117Z     %getitem_6 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized, 0), kwargs = {})
2024-05-15T23:46:28.7398284Z     %getitem_7 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized, 1), kwargs = {})
2024-05-15T23:46:28.7399353Z     %getitem_8 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized, 2), kwargs = {})
2024-05-15T23:46:28.7400693Z     %aten_view_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem_6, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7402582Z     %aten_constant_pad_nd_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_view_copy_default_15, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7404799Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_3 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_3, torch.int8), kwargs = {})
2024-05-15T23:46:28.7406798Z     %getitem_9 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_3, 0), kwargs = {})
2024-05-15T23:46:28.7408284Z     %getitem_10 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_3, 1), kwargs = {})
2024-05-15T23:46:28.7410449Z     %quantized_decomposed_quantize_per_token_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_3, %getitem_9, %getitem_10, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7413299Z     %quantized_decomposed_dequantize_per_token_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_3, %getitem_9, %getitem_10, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7416501Z     %quantized_decomposed_dequantize_per_channel_group_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_attention_wo_weight, %b_layers_0_attention_wo_scales, %b_layers_0_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7419143Z     %aten_permute_copy_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_3, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7421145Z     %aten_view_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_3, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7423010Z     %aten_mm_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_16, %aten_permute_copy_default_3), kwargs = {})
2024-05-15T23:46:28.7424725Z     %aten_view_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_3, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7426513Z     %aten_add_tensor_3 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%quantized_decomposed_embedding_4bit_dtype, %aten_view_copy_default_17), kwargs = {})
2024-05-15T23:46:28.7428323Z     %aten_mul_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_3, %aten_add_tensor_3), kwargs = {})
2024-05-15T23:46:28.7430050Z     %aten_mean_dim_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_11, [-1], True), kwargs = {})
2024-05-15T23:46:28.7431677Z     %aten_add_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_1, %_lifted_tensor_constant145), kwargs = {})
2024-05-15T23:46:28.7433274Z     %aten_rsqrt_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_4,), kwargs = {})
2024-05-15T23:46:28.7434885Z     %aten_mul_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_3, %aten_rsqrt_default_1), kwargs = {})
2024-05-15T23:46:28.7436568Z     %aten_mul_tensor_13 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_12, %p_layers_0_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:28.7438395Z     %aten_constant_pad_nd_default_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_13, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7440546Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_4 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_4, torch.int8), kwargs = {})
2024-05-15T23:46:28.7442646Z     %getitem_11 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_4, 0), kwargs = {})
2024-05-15T23:46:28.7444142Z     %getitem_12 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_4, 1), kwargs = {})
2024-05-15T23:46:28.7446302Z     %quantized_decomposed_quantize_per_token_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_4, %getitem_11, %getitem_12, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7449183Z     %quantized_decomposed_dequantize_per_token_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_4, %getitem_11, %getitem_12, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7452412Z     %quantized_decomposed_dequantize_per_channel_group_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_feed_forward_w1_weight, %b_layers_0_feed_forward_w1_scales, %b_layers_0_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7455154Z     %aten_permute_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_4, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7457397Z     %aten_view_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_4, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7459262Z     %aten_mm_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_18, %aten_permute_copy_default_4), kwargs = {})
2024-05-15T23:46:28.7460990Z     %aten_view_copy_default_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_4, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.7462650Z     %aten_sigmoid_default : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_19,), kwargs = {})
2024-05-15T23:46:28.7464384Z     %aten_mul_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_19, %aten_sigmoid_default), kwargs = {})
2024-05-15T23:46:28.7466178Z     %aten_constant_pad_nd_default_5 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_13, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7468379Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_5 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_5, torch.int8), kwargs = {})
2024-05-15T23:46:28.7470383Z     %getitem_13 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_5, 0), kwargs = {})
2024-05-15T23:46:28.7471903Z     %getitem_14 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_5, 1), kwargs = {})
2024-05-15T23:46:28.7474082Z     %quantized_decomposed_quantize_per_token_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_5, %getitem_13, %getitem_14, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7476951Z     %quantized_decomposed_dequantize_per_token_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_5, %getitem_13, %getitem_14, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7480244Z     %quantized_decomposed_dequantize_per_channel_group_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_feed_forward_w3_weight, %b_layers_0_feed_forward_w3_scales, %b_layers_0_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7483017Z     %aten_permute_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_5, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7485027Z     %aten_view_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_5, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7486894Z     %aten_mm_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_20, %aten_permute_copy_default_5), kwargs = {})
2024-05-15T23:46:28.7488611Z     %aten_view_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_5, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.7490307Z     %aten_mul_tensor_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_14, %aten_view_copy_default_21), kwargs = {})
2024-05-15T23:46:28.7492050Z     %aten_constant_pad_nd_default_6 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_15, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:28.7494197Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_6 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_6, torch.int8), kwargs = {})
2024-05-15T23:46:28.7496195Z     %getitem_15 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_6, 0), kwargs = {})
2024-05-15T23:46:28.7497723Z     %getitem_16 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_6, 1), kwargs = {})
2024-05-15T23:46:28.7499982Z     %quantized_decomposed_quantize_per_token_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_6, %getitem_15, %getitem_16, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7502878Z     %quantized_decomposed_dequantize_per_token_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_6, %getitem_15, %getitem_16, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7506113Z     %quantized_decomposed_dequantize_per_channel_group_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_0_feed_forward_w2_weight, %b_layers_0_feed_forward_w2_scales, %b_layers_0_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7508855Z     %aten_permute_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_6, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7510863Z     %aten_view_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_6, [1, 768]), kwargs = {})
2024-05-15T23:46:28.7512723Z     %aten_mm_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_22, %aten_permute_copy_default_6), kwargs = {})
2024-05-15T23:46:28.7514466Z     %aten_view_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_6, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7516149Z     %aten_add_tensor_5 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_3, %aten_view_copy_default_23), kwargs = {})
2024-05-15T23:46:28.7517845Z     %aten_mul_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_5, %aten_add_tensor_5), kwargs = {})
2024-05-15T23:46:28.7519527Z     %aten_mean_dim_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_16, [-1], True), kwargs = {})
2024-05-15T23:46:28.7521230Z     %aten_add_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_2, %_lifted_tensor_constant146), kwargs = {})
2024-05-15T23:46:28.7522842Z     %aten_rsqrt_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_6,), kwargs = {})
2024-05-15T23:46:28.7524441Z     %aten_mul_tensor_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_5, %aten_rsqrt_default_2), kwargs = {})
2024-05-15T23:46:28.7526143Z     %aten_mul_tensor_18 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_17, %p_layers_1_attention_norm_weight), kwargs = {})
2024-05-15T23:46:28.7527917Z     %aten_constant_pad_nd_default_7 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_18, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7530076Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_7 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_7, torch.int8), kwargs = {})
2024-05-15T23:46:28.7532127Z     %getitem_17 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_7, 0), kwargs = {})
2024-05-15T23:46:28.7533643Z     %getitem_18 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_7, 1), kwargs = {})
2024-05-15T23:46:28.7535831Z     %quantized_decomposed_quantize_per_token_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_7, %getitem_17, %getitem_18, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7538738Z     %quantized_decomposed_dequantize_per_token_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_7, %getitem_17, %getitem_18, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7541999Z     %quantized_decomposed_dequantize_per_channel_group_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wq_weight, %b_layers_1_attention_wq_scales, %b_layers_1_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7544591Z     %aten_permute_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_7, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7546604Z     %aten_view_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_7, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7548477Z     %aten_mm_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_24, %aten_permute_copy_default_7), kwargs = {})
2024-05-15T23:46:28.7550246Z     %aten_view_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_7, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7551985Z     %aten_constant_pad_nd_default_8 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_18, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7554150Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_8 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_8, torch.int8), kwargs = {})
2024-05-15T23:46:28.7556151Z     %getitem_19 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_8, 0), kwargs = {})
2024-05-15T23:46:28.7557691Z     %getitem_20 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_8, 1), kwargs = {})
2024-05-15T23:46:28.7559858Z     %quantized_decomposed_quantize_per_token_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_8, %getitem_19, %getitem_20, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7562844Z     %quantized_decomposed_dequantize_per_token_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_8, %getitem_19, %getitem_20, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7566125Z     %quantized_decomposed_dequantize_per_channel_group_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wk_weight, %b_layers_1_attention_wk_scales, %b_layers_1_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7568712Z     %aten_permute_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_8, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7570748Z     %aten_view_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_8, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7572619Z     %aten_mm_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_26, %aten_permute_copy_default_8), kwargs = {})
2024-05-15T23:46:28.7574368Z     %aten_view_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_8, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7576110Z     %aten_constant_pad_nd_default_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_18, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7578270Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_9 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_9, torch.int8), kwargs = {})
2024-05-15T23:46:28.7580262Z     %getitem_21 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_9, 0), kwargs = {})
2024-05-15T23:46:28.7581750Z     %getitem_22 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_9, 1), kwargs = {})
2024-05-15T23:46:28.7583913Z     %quantized_decomposed_quantize_per_token_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_9, %getitem_21, %getitem_22, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7586782Z     %quantized_decomposed_dequantize_per_token_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_9, %getitem_21, %getitem_22, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7589969Z     %quantized_decomposed_dequantize_per_channel_group_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wv_weight, %b_layers_1_attention_wv_scales, %b_layers_1_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7592563Z     %aten_permute_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_9, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7594572Z     %aten_view_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_9, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7596436Z     %aten_mm_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_28, %aten_permute_copy_default_9), kwargs = {})
2024-05-15T23:46:28.7598242Z     %aten_view_copy_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_9, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7599995Z     %aten_view_copy_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_25, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7601881Z     %aten_view_copy_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_27, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7603641Z     %aten_view_copy_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_29, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7605520Z     %aten_view_copy_default_33 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_30, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.7607300Z     %aten_view_copy_default_34 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.7608995Z     %aten_select_copy_int_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_33, 4, 0), kwargs = {})
2024-05-15T23:46:28.7610650Z     %aten_select_copy_int_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_34, 4, 0), kwargs = {})
2024-05-15T23:46:28.7612341Z     %aten_mul_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_17, %aten_select_copy_int_18), kwargs = {})
2024-05-15T23:46:28.7614020Z     %aten_select_copy_int_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_33, 4, 1), kwargs = {})
2024-05-15T23:46:28.7615672Z     %aten_select_copy_int_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_34, 4, 1), kwargs = {})
2024-05-15T23:46:28.7617369Z     %aten_mul_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_19, %aten_select_copy_int_20), kwargs = {})
2024-05-15T23:46:28.7619090Z     %aten_sub_tensor_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_19, %aten_mul_tensor_20), kwargs = {})
2024-05-15T23:46:28.7620727Z     %aten_select_copy_int_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_33, 4, 1), kwargs = {})
2024-05-15T23:46:28.7622374Z     %aten_select_copy_int_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_34, 4, 0), kwargs = {})
2024-05-15T23:46:28.7624058Z     %aten_mul_tensor_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_21, %aten_select_copy_int_22), kwargs = {})
2024-05-15T23:46:28.7625737Z     %aten_select_copy_int_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_33, 4, 0), kwargs = {})
2024-05-15T23:46:28.7627389Z     %aten_select_copy_int_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_34, 4, 1), kwargs = {})
2024-05-15T23:46:28.7629113Z     %aten_mul_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_23, %aten_select_copy_int_24), kwargs = {})
2024-05-15T23:46:28.7630784Z     %aten_add_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_21, %aten_mul_tensor_22), kwargs = {})
2024-05-15T23:46:28.7632489Z     %aten_unsqueeze_copy_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_2, 4), kwargs = {})
2024-05-15T23:46:28.7634205Z     %aten_unsqueeze_copy_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_7, 4), kwargs = {})
2024-05-15T23:46:28.7636117Z     %aten_cat_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_4, %aten_unsqueeze_copy_default_5], -1), kwargs = {})
2024-05-15T23:46:28.7637986Z     %aten_view_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_2, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7639861Z     %aten_view_copy_default_36 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_31, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.7641799Z     %aten_view_copy_default_37 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.7643484Z     %aten_select_copy_int_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_36, 4, 0), kwargs = {})
2024-05-15T23:46:28.7645128Z     %aten_select_copy_int_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_37, 4, 0), kwargs = {})
2024-05-15T23:46:28.7646810Z     %aten_mul_tensor_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_25, %aten_select_copy_int_26), kwargs = {})
2024-05-15T23:46:28.7648500Z     %aten_select_copy_int_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_36, 4, 1), kwargs = {})
2024-05-15T23:46:28.7650155Z     %aten_select_copy_int_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_37, 4, 1), kwargs = {})
2024-05-15T23:46:28.7651831Z     %aten_mul_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_27, %aten_select_copy_int_28), kwargs = {})
2024-05-15T23:46:28.7653499Z     %aten_sub_tensor_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_23, %aten_mul_tensor_24), kwargs = {})
2024-05-15T23:46:28.7655132Z     %aten_select_copy_int_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_36, 4, 1), kwargs = {})
2024-05-15T23:46:28.7656773Z     %aten_select_copy_int_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_37, 4, 0), kwargs = {})
2024-05-15T23:46:28.7658462Z     %aten_mul_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_29, %aten_select_copy_int_30), kwargs = {})
2024-05-15T23:46:28.7660130Z     %aten_select_copy_int_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_36, 4, 0), kwargs = {})
2024-05-15T23:46:28.7661784Z     %aten_select_copy_int_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_37, 4, 1), kwargs = {})
2024-05-15T23:46:28.7663472Z     %aten_mul_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_31, %aten_select_copy_int_32), kwargs = {})
2024-05-15T23:46:28.7665187Z     %aten_add_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_25, %aten_mul_tensor_26), kwargs = {})
2024-05-15T23:46:28.7666867Z     %aten_unsqueeze_copy_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_3, 4), kwargs = {})
2024-05-15T23:46:28.7668557Z     %aten_unsqueeze_copy_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_8, 4), kwargs = {})
2024-05-15T23:46:28.7670512Z     %aten_cat_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_6, %aten_unsqueeze_copy_default_7], -1), kwargs = {})
2024-05-15T23:46:28.7672315Z     %aten_view_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_3, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7674073Z     %aten_select_copy_int_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:28.7675550Z     %_local_scalar_dense_1 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%aten_select_copy_int_33,), kwargs = {})
2024-05-15T23:46:28.7676919Z     %ge_1 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_1, -9223372036854775808), kwargs = {})
2024-05-15T23:46:28.7678135Z     %scalar_tensor_2 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_1,), kwargs = {})
2024-05-15T23:46:28.7679899Z     %_assert_async_2 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_2, _local_scalar_dense_1 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.7681574Z     %le_1 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_1, 9223372036854775807), kwargs = {})
2024-05-15T23:46:28.7682728Z     %scalar_tensor_3 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_1,), kwargs = {})
2024-05-15T23:46:28.7684477Z     %_assert_async_3 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_3, _local_scalar_dense_1 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.7687624Z     %auto_functionalized_1 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %aten_view_copy_default_35, key: %aten_view_copy_default_38, value: %aten_view_copy_default_32, key_cache: %b_layers_1_attention_kv_cache_k_cache, value_cache: %b_layers_1_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_1, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:28.7690301Z     %getitem_23 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_1, 0), kwargs = {})
2024-05-15T23:46:28.7691410Z     %getitem_24 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_1, 1), kwargs = {})
2024-05-15T23:46:28.7692522Z     %getitem_25 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_1, 2), kwargs = {})
2024-05-15T23:46:28.7693900Z     %aten_view_copy_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem_23, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7695659Z     %aten_constant_pad_nd_default_10 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_view_copy_default_39, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7697902Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_10 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_10, torch.int8), kwargs = {})
2024-05-15T23:46:28.7700007Z     %getitem_26 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_10, 0), kwargs = {})
2024-05-15T23:46:28.7701512Z     %getitem_27 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_10, 1), kwargs = {})
2024-05-15T23:46:28.7703728Z     %quantized_decomposed_quantize_per_token_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_10, %getitem_26, %getitem_27, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7706657Z     %quantized_decomposed_dequantize_per_token_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_10, %getitem_26, %getitem_27, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7709919Z     %quantized_decomposed_dequantize_per_channel_group_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_attention_wo_weight, %b_layers_1_attention_wo_scales, %b_layers_1_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7712531Z     %aten_permute_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_10, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7714566Z     %aten_view_copy_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_10, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7716451Z     %aten_mm_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_40, %aten_permute_copy_default_10), kwargs = {})
2024-05-15T23:46:28.7718251Z     %aten_view_copy_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_10, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7719958Z     %aten_add_tensor_9 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_5, %aten_view_copy_default_41), kwargs = {})
2024-05-15T23:46:28.7721704Z     %aten_mul_tensor_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_9, %aten_add_tensor_9), kwargs = {})
2024-05-15T23:46:28.7723395Z     %aten_mean_dim_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_27, [-1], True), kwargs = {})
2024-05-15T23:46:28.7725013Z     %aten_add_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_3, %_lifted_tensor_constant147), kwargs = {})
2024-05-15T23:46:28.7726634Z     %aten_rsqrt_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_10,), kwargs = {})
2024-05-15T23:46:28.7728231Z     %aten_mul_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_9, %aten_rsqrt_default_3), kwargs = {})
2024-05-15T23:46:28.7729924Z     %aten_mul_tensor_29 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_28, %p_layers_1_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:28.7731744Z     %aten_constant_pad_nd_default_11 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_29, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7733975Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_11 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_11, torch.int8), kwargs = {})
2024-05-15T23:46:28.7736029Z     %getitem_28 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_11, 0), kwargs = {})
2024-05-15T23:46:28.7737523Z     %getitem_29 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_11, 1), kwargs = {})
2024-05-15T23:46:28.7739739Z     %quantized_decomposed_quantize_per_token_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_11, %getitem_28, %getitem_29, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7742634Z     %quantized_decomposed_dequantize_per_token_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_11, %getitem_28, %getitem_29, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7745891Z     %quantized_decomposed_dequantize_per_channel_group_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_feed_forward_w1_weight, %b_layers_1_feed_forward_w1_scales, %b_layers_1_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7748539Z     %aten_permute_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_11, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7750576Z     %aten_view_copy_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_11, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7752457Z     %aten_mm_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_42, %aten_permute_copy_default_11), kwargs = {})
2024-05-15T23:46:28.7754208Z     %aten_view_copy_default_43 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_11, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.7755885Z     %aten_sigmoid_default_1 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_43,), kwargs = {})
2024-05-15T23:46:28.7757631Z     %aten_mul_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_43, %aten_sigmoid_default_1), kwargs = {})
2024-05-15T23:46:28.7759416Z     %aten_constant_pad_nd_default_12 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_29, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7761703Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_12 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_12, torch.int8), kwargs = {})
2024-05-15T23:46:28.7763740Z     %getitem_30 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_12, 0), kwargs = {})
2024-05-15T23:46:28.7765300Z     %getitem_31 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_12, 1), kwargs = {})
2024-05-15T23:46:28.7767533Z     %quantized_decomposed_quantize_per_token_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_12, %getitem_30, %getitem_31, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7770484Z     %quantized_decomposed_dequantize_per_token_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_12, %getitem_30, %getitem_31, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7773753Z     %quantized_decomposed_dequantize_per_channel_group_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_feed_forward_w3_weight, %b_layers_1_feed_forward_w3_scales, %b_layers_1_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7776436Z     %aten_permute_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_12, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7778527Z     %aten_view_copy_default_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_12, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7780410Z     %aten_mm_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_44, %aten_permute_copy_default_12), kwargs = {})
2024-05-15T23:46:28.7782166Z     %aten_view_copy_default_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_12, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.7783871Z     %aten_mul_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_30, %aten_view_copy_default_45), kwargs = {})
2024-05-15T23:46:28.7785612Z     %aten_constant_pad_nd_default_13 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_31, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:28.7787792Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_13 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_13, torch.int8), kwargs = {})
2024-05-15T23:46:28.7789869Z     %getitem_32 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_13, 0), kwargs = {})
2024-05-15T23:46:28.7791374Z     %getitem_33 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_13, 1), kwargs = {})
2024-05-15T23:46:28.7793564Z     %quantized_decomposed_quantize_per_token_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_13, %getitem_32, %getitem_33, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7796449Z     %quantized_decomposed_dequantize_per_token_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_13, %getitem_32, %getitem_33, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7799816Z     %quantized_decomposed_dequantize_per_channel_group_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_1_feed_forward_w2_weight, %b_layers_1_feed_forward_w2_scales, %b_layers_1_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7802574Z     %aten_permute_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_13, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7804648Z     %aten_view_copy_default_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_13, [1, 768]), kwargs = {})
2024-05-15T23:46:28.7806533Z     %aten_mm_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_46, %aten_permute_copy_default_13), kwargs = {})
2024-05-15T23:46:28.7808323Z     %aten_view_copy_default_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_13, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7810026Z     %aten_add_tensor_11 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_9, %aten_view_copy_default_47), kwargs = {})
2024-05-15T23:46:28.7811702Z     %aten_mul_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_11, %aten_add_tensor_11), kwargs = {})
2024-05-15T23:46:28.7813405Z     %aten_mean_dim_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_32, [-1], True), kwargs = {})
2024-05-15T23:46:28.7815024Z     %aten_add_tensor_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_4, %_lifted_tensor_constant148), kwargs = {})
2024-05-15T23:46:28.7816638Z     %aten_rsqrt_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_12,), kwargs = {})
2024-05-15T23:46:28.7818245Z     %aten_mul_tensor_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_11, %aten_rsqrt_default_4), kwargs = {})
2024-05-15T23:46:28.7819968Z     %aten_mul_tensor_34 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_33, %p_layers_2_attention_norm_weight), kwargs = {})
2024-05-15T23:46:28.7821764Z     %aten_constant_pad_nd_default_14 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_34, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7823962Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_14 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_14, torch.int8), kwargs = {})
2024-05-15T23:46:28.7825987Z     %getitem_34 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_14, 0), kwargs = {})
2024-05-15T23:46:28.7827485Z     %getitem_35 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_14, 1), kwargs = {})
2024-05-15T23:46:28.7829684Z     %quantized_decomposed_quantize_per_token_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_14, %getitem_34, %getitem_35, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7832573Z     %quantized_decomposed_dequantize_per_token_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_14, %getitem_34, %getitem_35, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7835866Z     %quantized_decomposed_dequantize_per_channel_group_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wq_weight, %b_layers_2_attention_wq_scales, %b_layers_2_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7838569Z     %aten_permute_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_14, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7840596Z     %aten_view_copy_default_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_14, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7842749Z     %aten_mm_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_48, %aten_permute_copy_default_14), kwargs = {})
2024-05-15T23:46:28.7844478Z     %aten_view_copy_default_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_14, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7846231Z     %aten_constant_pad_nd_default_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_34, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7848402Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_15 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_15, torch.int8), kwargs = {})
2024-05-15T23:46:28.7850409Z     %getitem_36 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_15, 0), kwargs = {})
2024-05-15T23:46:28.7851895Z     %getitem_37 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_15, 1), kwargs = {})
2024-05-15T23:46:28.7854087Z     %quantized_decomposed_quantize_per_token_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_15, %getitem_36, %getitem_37, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7856985Z     %quantized_decomposed_dequantize_per_token_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_15, %getitem_36, %getitem_37, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7860243Z     %quantized_decomposed_dequantize_per_channel_group_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wk_weight, %b_layers_2_attention_wk_scales, %b_layers_2_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7862831Z     %aten_permute_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_15, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7864848Z     %aten_view_copy_default_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_15, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7866784Z     %aten_mm_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_50, %aten_permute_copy_default_15), kwargs = {})
2024-05-15T23:46:28.7868557Z     %aten_view_copy_default_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_15, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7870358Z     %aten_constant_pad_nd_default_16 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_34, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7872548Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_16 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_16, torch.int8), kwargs = {})
2024-05-15T23:46:28.7874554Z     %getitem_38 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_16, 0), kwargs = {})
2024-05-15T23:46:28.7876071Z     %getitem_39 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_16, 1), kwargs = {})
2024-05-15T23:46:28.7878305Z     %quantized_decomposed_quantize_per_token_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_16, %getitem_38, %getitem_39, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.7881298Z     %quantized_decomposed_dequantize_per_token_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_16, %getitem_38, %getitem_39, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.7884503Z     %quantized_decomposed_dequantize_per_channel_group_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wv_weight, %b_layers_2_attention_wv_scales, %b_layers_2_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.7887097Z     %aten_permute_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_16, [1, 0]), kwargs = {})
2024-05-15T23:46:28.7889118Z     %aten_view_copy_default_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_16, [1, 512]), kwargs = {})
2024-05-15T23:46:28.7890983Z     %aten_mm_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_52, %aten_permute_copy_default_16), kwargs = {})
2024-05-15T23:46:28.7892720Z     %aten_view_copy_default_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_16, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7894445Z     %aten_view_copy_default_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_49, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7896179Z     %aten_view_copy_default_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_51, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7897909Z     %aten_view_copy_default_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_53, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7899793Z     %aten_view_copy_default_57 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_54, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.7901619Z     %aten_view_copy_default_58 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.7903308Z     %aten_select_copy_int_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_57, 4, 0), kwargs = {})
2024-05-15T23:46:28.7904992Z     %aten_select_copy_int_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_58, 4, 0), kwargs = {})
2024-05-15T23:46:28.7906688Z     %aten_mul_tensor_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_34, %aten_select_copy_int_35), kwargs = {})
2024-05-15T23:46:28.7908399Z     %aten_select_copy_int_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_57, 4, 1), kwargs = {})
2024-05-15T23:46:28.7910052Z     %aten_select_copy_int_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_58, 4, 1), kwargs = {})
2024-05-15T23:46:28.7911731Z     %aten_mul_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_36, %aten_select_copy_int_37), kwargs = {})
2024-05-15T23:46:28.7913406Z     %aten_sub_tensor_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_35, %aten_mul_tensor_36), kwargs = {})
2024-05-15T23:46:28.7915050Z     %aten_select_copy_int_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_57, 4, 1), kwargs = {})
2024-05-15T23:46:28.7916706Z     %aten_select_copy_int_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_58, 4, 0), kwargs = {})
2024-05-15T23:46:28.7918455Z     %aten_mul_tensor_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_38, %aten_select_copy_int_39), kwargs = {})
2024-05-15T23:46:28.7920130Z     %aten_select_copy_int_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_57, 4, 0), kwargs = {})
2024-05-15T23:46:28.7921882Z     %aten_select_copy_int_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_58, 4, 1), kwargs = {})
2024-05-15T23:46:28.7923561Z     %aten_mul_tensor_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_40, %aten_select_copy_int_41), kwargs = {})
2024-05-15T23:46:28.7925247Z     %aten_add_tensor_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_37, %aten_mul_tensor_38), kwargs = {})
2024-05-15T23:46:28.7926912Z     %aten_unsqueeze_copy_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_4, 4), kwargs = {})
2024-05-15T23:46:28.7928611Z     %aten_unsqueeze_copy_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_13, 4), kwargs = {})
2024-05-15T23:46:28.7930545Z     %aten_cat_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_8, %aten_unsqueeze_copy_default_9], -1), kwargs = {})
2024-05-15T23:46:28.7932345Z     %aten_view_copy_default_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_4, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7934268Z     %aten_view_copy_default_60 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_55, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.7936047Z     %aten_view_copy_default_61 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.7937739Z     %aten_select_copy_int_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_60, 4, 0), kwargs = {})
2024-05-15T23:46:28.7939472Z     %aten_select_copy_int_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_61, 4, 0), kwargs = {})
2024-05-15T23:46:28.7941160Z     %aten_mul_tensor_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_42, %aten_select_copy_int_43), kwargs = {})
2024-05-15T23:46:28.7942858Z     %aten_select_copy_int_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_60, 4, 1), kwargs = {})
2024-05-15T23:46:28.7944507Z     %aten_select_copy_int_45 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_61, 4, 1), kwargs = {})
2024-05-15T23:46:28.7946199Z     %aten_mul_tensor_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_44, %aten_select_copy_int_45), kwargs = {})
2024-05-15T23:46:28.7947866Z     %aten_sub_tensor_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_39, %aten_mul_tensor_40), kwargs = {})
2024-05-15T23:46:28.7949556Z     %aten_select_copy_int_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_60, 4, 1), kwargs = {})
2024-05-15T23:46:28.7951196Z     %aten_select_copy_int_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_61, 4, 0), kwargs = {})
2024-05-15T23:46:28.7952875Z     %aten_mul_tensor_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_46, %aten_select_copy_int_47), kwargs = {})
2024-05-15T23:46:28.7954548Z     %aten_select_copy_int_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_60, 4, 0), kwargs = {})
2024-05-15T23:46:28.7956190Z     %aten_select_copy_int_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_61, 4, 1), kwargs = {})
2024-05-15T23:46:28.7957957Z     %aten_mul_tensor_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_48, %aten_select_copy_int_49), kwargs = {})
2024-05-15T23:46:28.7959640Z     %aten_add_tensor_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_41, %aten_mul_tensor_42), kwargs = {})
2024-05-15T23:46:28.7961408Z     %aten_unsqueeze_copy_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_5, 4), kwargs = {})
2024-05-15T23:46:28.7964085Z     %aten_unsqueeze_copy_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_14, 4), kwargs = {})
2024-05-15T23:46:28.7966017Z     %aten_cat_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_10, %aten_unsqueeze_copy_default_11], -1), kwargs = {})
2024-05-15T23:46:28.7967860Z     %aten_view_copy_default_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_5, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.7969648Z     %aten_select_copy_int_50 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:28.7971127Z     %_local_scalar_dense_2 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%aten_select_copy_int_50,), kwargs = {})
2024-05-15T23:46:28.7972526Z     %ge_2 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_2, -9223372036854775808), kwargs = {})
2024-05-15T23:46:28.7973677Z     %scalar_tensor_4 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_2,), kwargs = {})
2024-05-15T23:46:28.7975473Z     %_assert_async_4 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_4, _local_scalar_dense_2 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.7977051Z     %le_2 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_2, 9223372036854775807), kwargs = {})
2024-05-15T23:46:28.7978194Z     %scalar_tensor_5 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_2,), kwargs = {})
2024-05-15T23:46:28.7979934Z     %_assert_async_5 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_5, _local_scalar_dense_2 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.7983067Z     %auto_functionalized_2 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %aten_view_copy_default_59, key: %aten_view_copy_default_62, value: %aten_view_copy_default_56, key_cache: %b_layers_2_attention_kv_cache_k_cache, value_cache: %b_layers_2_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_2, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:28.7985741Z     %getitem_40 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_2, 0), kwargs = {})
2024-05-15T23:46:28.7986859Z     %getitem_41 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_2, 1), kwargs = {})
2024-05-15T23:46:28.7987962Z     %getitem_42 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_2, 2), kwargs = {})
2024-05-15T23:46:28.7989329Z     %aten_view_copy_default_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem_40, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.7991093Z     %aten_constant_pad_nd_default_17 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_view_copy_default_63, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.7993299Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_17 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_17, torch.int8), kwargs = {})
2024-05-15T23:46:28.8008696Z     %getitem_43 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_17, 0), kwargs = {})
2024-05-15T23:46:28.8010218Z     %getitem_44 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_17, 1), kwargs = {})
2024-05-15T23:46:28.8012682Z     %quantized_decomposed_quantize_per_token_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_17, %getitem_43, %getitem_44, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8015747Z     %quantized_decomposed_dequantize_per_token_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_17, %getitem_43, %getitem_44, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8019004Z     %quantized_decomposed_dequantize_per_channel_group_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_attention_wo_weight, %b_layers_2_attention_wo_scales, %b_layers_2_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8021627Z     %aten_permute_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_17, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8023689Z     %aten_view_copy_default_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_17, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8025569Z     %aten_mm_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_64, %aten_permute_copy_default_17), kwargs = {})
2024-05-15T23:46:28.8027312Z     %aten_view_copy_default_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_17, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8029014Z     %aten_add_tensor_15 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_11, %aten_view_copy_default_65), kwargs = {})
2024-05-15T23:46:28.8030688Z     %aten_mul_tensor_43 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_15, %aten_add_tensor_15), kwargs = {})
2024-05-15T23:46:28.8032384Z     %aten_mean_dim_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_43, [-1], True), kwargs = {})
2024-05-15T23:46:28.8033990Z     %aten_add_tensor_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_5, %_lifted_tensor_constant149), kwargs = {})
2024-05-15T23:46:28.8035591Z     %aten_rsqrt_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_16,), kwargs = {})
2024-05-15T23:46:28.8037280Z     %aten_mul_tensor_44 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_15, %aten_rsqrt_default_5), kwargs = {})
2024-05-15T23:46:28.8039060Z     %aten_mul_tensor_45 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_44, %p_layers_2_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:28.8040959Z     %aten_constant_pad_nd_default_18 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_45, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8043146Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_18 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_18, torch.int8), kwargs = {})
2024-05-15T23:46:28.8045168Z     %getitem_45 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_18, 0), kwargs = {})
2024-05-15T23:46:28.8046734Z     %getitem_46 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_18, 1), kwargs = {})
2024-05-15T23:46:28.8048985Z     %quantized_decomposed_quantize_per_token_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_18, %getitem_45, %getitem_46, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8051922Z     %quantized_decomposed_dequantize_per_token_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_18, %getitem_45, %getitem_46, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8055191Z     %quantized_decomposed_dequantize_per_channel_group_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_feed_forward_w1_weight, %b_layers_2_feed_forward_w1_scales, %b_layers_2_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8057871Z     %aten_permute_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_18, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8059894Z     %aten_view_copy_default_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_18, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8061757Z     %aten_mm_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_66, %aten_permute_copy_default_18), kwargs = {})
2024-05-15T23:46:28.8063485Z     %aten_view_copy_default_67 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_18, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8065147Z     %aten_sigmoid_default_2 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_67,), kwargs = {})
2024-05-15T23:46:28.8066828Z     %aten_mul_tensor_46 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_67, %aten_sigmoid_default_2), kwargs = {})
2024-05-15T23:46:28.8068627Z     %aten_constant_pad_nd_default_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_45, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8070824Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_19 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_19, torch.int8), kwargs = {})
2024-05-15T23:46:28.8072840Z     %getitem_47 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_19, 0), kwargs = {})
2024-05-15T23:46:28.8074330Z     %getitem_48 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_19, 1), kwargs = {})
2024-05-15T23:46:28.8076503Z     %quantized_decomposed_quantize_per_token_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_19, %getitem_47, %getitem_48, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8079492Z     %quantized_decomposed_dequantize_per_token_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_19, %getitem_47, %getitem_48, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8082934Z     %quantized_decomposed_dequantize_per_channel_group_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_feed_forward_w3_weight, %b_layers_2_feed_forward_w3_scales, %b_layers_2_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8085586Z     %aten_permute_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_19, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8087646Z     %aten_view_copy_default_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_19, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8089560Z     %aten_mm_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_68, %aten_permute_copy_default_19), kwargs = {})
2024-05-15T23:46:28.8091304Z     %aten_view_copy_default_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_19, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8092998Z     %aten_mul_tensor_47 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_46, %aten_view_copy_default_69), kwargs = {})
2024-05-15T23:46:28.8094759Z     %aten_constant_pad_nd_default_20 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_47, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:28.8096935Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_20 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_20, torch.int8), kwargs = {})
2024-05-15T23:46:28.8098964Z     %getitem_49 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_20, 0), kwargs = {})
2024-05-15T23:46:28.8100457Z     %getitem_50 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_20, 1), kwargs = {})
2024-05-15T23:46:28.8102659Z     %quantized_decomposed_quantize_per_token_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_20, %getitem_49, %getitem_50, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8105560Z     %quantized_decomposed_dequantize_per_token_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_20, %getitem_49, %getitem_50, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8108835Z     %quantized_decomposed_dequantize_per_channel_group_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_2_feed_forward_w2_weight, %b_layers_2_feed_forward_w2_scales, %b_layers_2_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8111477Z     %aten_permute_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_20, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8113508Z     %aten_view_copy_default_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_20, [1, 768]), kwargs = {})
2024-05-15T23:46:28.8115431Z     %aten_mm_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_70, %aten_permute_copy_default_20), kwargs = {})
2024-05-15T23:46:28.8117204Z     %aten_view_copy_default_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_20, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8118967Z     %aten_add_tensor_17 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_15, %aten_view_copy_default_71), kwargs = {})
2024-05-15T23:46:28.8120679Z     %aten_mul_tensor_48 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_17, %aten_add_tensor_17), kwargs = {})
2024-05-15T23:46:28.8122499Z     %aten_mean_dim_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_48, [-1], True), kwargs = {})
2024-05-15T23:46:28.8124156Z     %aten_add_tensor_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_6, %_lifted_tensor_constant150), kwargs = {})
2024-05-15T23:46:28.8125772Z     %aten_rsqrt_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_18,), kwargs = {})
2024-05-15T23:46:28.8127377Z     %aten_mul_tensor_49 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_17, %aten_rsqrt_default_6), kwargs = {})
2024-05-15T23:46:28.8129085Z     %aten_mul_tensor_50 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_49, %p_layers_3_attention_norm_weight), kwargs = {})
2024-05-15T23:46:28.8130874Z     %aten_constant_pad_nd_default_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_50, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8133071Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_21 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_21, torch.int8), kwargs = {})
2024-05-15T23:46:28.8135097Z     %getitem_51 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_21, 0), kwargs = {})
2024-05-15T23:46:28.8136586Z     %getitem_52 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_21, 1), kwargs = {})
2024-05-15T23:46:28.8138773Z     %quantized_decomposed_quantize_per_token_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_21, %getitem_51, %getitem_52, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8141690Z     %quantized_decomposed_dequantize_per_token_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_21, %getitem_51, %getitem_52, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8144920Z     %quantized_decomposed_dequantize_per_channel_group_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wq_weight, %b_layers_3_attention_wq_scales, %b_layers_3_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8147524Z     %aten_permute_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_21, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8149650Z     %aten_view_copy_default_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_21, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8151566Z     %aten_mm_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_72, %aten_permute_copy_default_21), kwargs = {})
2024-05-15T23:46:28.8153310Z     %aten_view_copy_default_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_21, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8155099Z     %aten_constant_pad_nd_default_22 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_50, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8157303Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_22 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_22, torch.int8), kwargs = {})
2024-05-15T23:46:28.8159423Z     %getitem_53 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_22, 0), kwargs = {})
2024-05-15T23:46:28.8161012Z     %getitem_54 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_22, 1), kwargs = {})
2024-05-15T23:46:28.8163200Z     %quantized_decomposed_quantize_per_token_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_22, %getitem_53, %getitem_54, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8166103Z     %quantized_decomposed_dequantize_per_token_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_22, %getitem_53, %getitem_54, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8169326Z     %quantized_decomposed_dequantize_per_channel_group_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wk_weight, %b_layers_3_attention_wk_scales, %b_layers_3_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8171944Z     %aten_permute_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_22, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8173970Z     %aten_view_copy_default_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_22, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8175845Z     %aten_mm_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_74, %aten_permute_copy_default_22), kwargs = {})
2024-05-15T23:46:28.8177586Z     %aten_view_copy_default_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_22, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8179349Z     %aten_constant_pad_nd_default_23 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_50, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8181534Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_23 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_23, torch.int8), kwargs = {})
2024-05-15T23:46:28.8183592Z     %getitem_55 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_23, 0), kwargs = {})
2024-05-15T23:46:28.8185111Z     %getitem_56 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_23, 1), kwargs = {})
2024-05-15T23:46:28.8187317Z     %quantized_decomposed_quantize_per_token_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_23, %getitem_55, %getitem_56, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8190215Z     %quantized_decomposed_dequantize_per_token_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_23, %getitem_55, %getitem_56, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8193458Z     %quantized_decomposed_dequantize_per_channel_group_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wv_weight, %b_layers_3_attention_wv_scales, %b_layers_3_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8196067Z     %aten_permute_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_23, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8198166Z     %aten_view_copy_default_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_23, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8200045Z     %aten_mm_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_76, %aten_permute_copy_default_23), kwargs = {})
2024-05-15T23:46:28.8201992Z     %aten_view_copy_default_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_23, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8203733Z     %aten_view_copy_default_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_73, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8205488Z     %aten_view_copy_default_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_75, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8207235Z     %aten_view_copy_default_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_77, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8209129Z     %aten_view_copy_default_81 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_78, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.8210872Z     %aten_view_copy_default_82 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.8212579Z     %aten_select_copy_int_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_81, 4, 0), kwargs = {})
2024-05-15T23:46:28.8214233Z     %aten_select_copy_int_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_82, 4, 0), kwargs = {})
2024-05-15T23:46:28.8215978Z     %aten_mul_tensor_51 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_51, %aten_select_copy_int_52), kwargs = {})
2024-05-15T23:46:28.8217712Z     %aten_select_copy_int_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_81, 4, 1), kwargs = {})
2024-05-15T23:46:28.8219407Z     %aten_select_copy_int_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_82, 4, 1), kwargs = {})
2024-05-15T23:46:28.8221134Z     %aten_mul_tensor_52 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_53, %aten_select_copy_int_54), kwargs = {})
2024-05-15T23:46:28.8222817Z     %aten_sub_tensor_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_51, %aten_mul_tensor_52), kwargs = {})
2024-05-15T23:46:28.8224488Z     %aten_select_copy_int_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_81, 4, 1), kwargs = {})
2024-05-15T23:46:28.8226132Z     %aten_select_copy_int_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_82, 4, 0), kwargs = {})
2024-05-15T23:46:28.8227814Z     %aten_mul_tensor_53 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_55, %aten_select_copy_int_56), kwargs = {})
2024-05-15T23:46:28.8229508Z     %aten_select_copy_int_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_81, 4, 0), kwargs = {})
2024-05-15T23:46:28.8231144Z     %aten_select_copy_int_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_82, 4, 1), kwargs = {})
2024-05-15T23:46:28.8232835Z     %aten_mul_tensor_54 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_57, %aten_select_copy_int_58), kwargs = {})
2024-05-15T23:46:28.8234522Z     %aten_add_tensor_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_53, %aten_mul_tensor_54), kwargs = {})
2024-05-15T23:46:28.8236195Z     %aten_unsqueeze_copy_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_6, 4), kwargs = {})
2024-05-15T23:46:28.8237961Z     %aten_unsqueeze_copy_default_13 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_19, 4), kwargs = {})
2024-05-15T23:46:28.8239903Z     %aten_cat_default_6 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_12, %aten_unsqueeze_copy_default_13], -1), kwargs = {})
2024-05-15T23:46:28.8241828Z     %aten_view_copy_default_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_6, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8243716Z     %aten_view_copy_default_84 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_79, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.8245468Z     %aten_view_copy_default_85 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.8247163Z     %aten_select_copy_int_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_84, 4, 0), kwargs = {})
2024-05-15T23:46:28.8248915Z     %aten_select_copy_int_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_85, 4, 0), kwargs = {})
2024-05-15T23:46:28.8250635Z     %aten_mul_tensor_55 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_59, %aten_select_copy_int_60), kwargs = {})
2024-05-15T23:46:28.8252328Z     %aten_select_copy_int_61 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_84, 4, 1), kwargs = {})
2024-05-15T23:46:28.8254010Z     %aten_select_copy_int_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_85, 4, 1), kwargs = {})
2024-05-15T23:46:28.8255705Z     %aten_mul_tensor_56 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_61, %aten_select_copy_int_62), kwargs = {})
2024-05-15T23:46:28.8257405Z     %aten_sub_tensor_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_55, %aten_mul_tensor_56), kwargs = {})
2024-05-15T23:46:28.8259048Z     %aten_select_copy_int_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_84, 4, 1), kwargs = {})
2024-05-15T23:46:28.8260692Z     %aten_select_copy_int_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_85, 4, 0), kwargs = {})
2024-05-15T23:46:28.8262383Z     %aten_mul_tensor_57 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_63, %aten_select_copy_int_64), kwargs = {})
2024-05-15T23:46:28.8264064Z     %aten_select_copy_int_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_84, 4, 0), kwargs = {})
2024-05-15T23:46:28.8265717Z     %aten_select_copy_int_66 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_85, 4, 1), kwargs = {})
2024-05-15T23:46:28.8267413Z     %aten_mul_tensor_58 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_65, %aten_select_copy_int_66), kwargs = {})
2024-05-15T23:46:28.8269097Z     %aten_add_tensor_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_57, %aten_mul_tensor_58), kwargs = {})
2024-05-15T23:46:28.8270773Z     %aten_unsqueeze_copy_default_14 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_7, 4), kwargs = {})
2024-05-15T23:46:28.8272481Z     %aten_unsqueeze_copy_default_15 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_20, 4), kwargs = {})
2024-05-15T23:46:28.8274443Z     %aten_cat_default_7 : [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 = {})
2024-05-15T23:46:28.8276257Z     %aten_view_copy_default_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_7, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8278047Z     %aten_select_copy_int_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:28.8279535Z     %_local_scalar_dense_3 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%aten_select_copy_int_67,), kwargs = {})
2024-05-15T23:46:28.8280998Z     %ge_3 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_3, -9223372036854775808), kwargs = {})
2024-05-15T23:46:28.8282196Z     %scalar_tensor_6 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_3,), kwargs = {})
2024-05-15T23:46:28.8283996Z     %_assert_async_6 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_6, _local_scalar_dense_3 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.8285566Z     %le_3 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_3, 9223372036854775807), kwargs = {})
2024-05-15T23:46:28.8286712Z     %scalar_tensor_7 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_3,), kwargs = {})
2024-05-15T23:46:28.8288502Z     %_assert_async_7 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_7, _local_scalar_dense_3 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.8291668Z     %auto_functionalized_3 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %aten_view_copy_default_83, key: %aten_view_copy_default_86, value: %aten_view_copy_default_80, key_cache: %b_layers_3_attention_kv_cache_k_cache, value_cache: %b_layers_3_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_3, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:28.8294311Z     %getitem_57 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_3, 0), kwargs = {})
2024-05-15T23:46:28.8295424Z     %getitem_58 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_3, 1), kwargs = {})
2024-05-15T23:46:28.8296532Z     %getitem_59 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_3, 2), kwargs = {})
2024-05-15T23:46:28.8297919Z     %aten_view_copy_default_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem_57, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8299681Z     %aten_constant_pad_nd_default_24 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_view_copy_default_87, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8301892Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_24 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_24, torch.int8), kwargs = {})
2024-05-15T23:46:28.8303911Z     %getitem_60 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_24, 0), kwargs = {})
2024-05-15T23:46:28.8305410Z     %getitem_61 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_24, 1), kwargs = {})
2024-05-15T23:46:28.8307614Z     %quantized_decomposed_quantize_per_token_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_24, %getitem_60, %getitem_61, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8310516Z     %quantized_decomposed_dequantize_per_token_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_24, %getitem_60, %getitem_61, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8313750Z     %quantized_decomposed_dequantize_per_channel_group_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_attention_wo_weight, %b_layers_3_attention_wo_scales, %b_layers_3_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8316449Z     %aten_permute_copy_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_24, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8318573Z     %aten_view_copy_default_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_24, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8320468Z     %aten_mm_default_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_88, %aten_permute_copy_default_24), kwargs = {})
2024-05-15T23:46:28.8322307Z     %aten_view_copy_default_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_24, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8324309Z     %aten_add_tensor_21 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_17, %aten_view_copy_default_89), kwargs = {})
2024-05-15T23:46:28.8326223Z     %aten_mul_tensor_59 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_21, %aten_add_tensor_21), kwargs = {})
2024-05-15T23:46:28.8328177Z     %aten_mean_dim_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_59, [-1], True), kwargs = {})
2024-05-15T23:46:28.8330025Z     %aten_add_tensor_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_7, %_lifted_tensor_constant151), kwargs = {})
2024-05-15T23:46:28.8331874Z     %aten_rsqrt_default_7 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_22,), kwargs = {})
2024-05-15T23:46:28.8333715Z     %aten_mul_tensor_60 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_21, %aten_rsqrt_default_7), kwargs = {})
2024-05-15T23:46:28.8335639Z     %aten_mul_tensor_61 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_60, %p_layers_3_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:28.8337669Z     %aten_constant_pad_nd_default_25 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_61, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8340218Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_25 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_25, torch.int8), kwargs = {})
2024-05-15T23:46:28.8342580Z     %getitem_62 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_25, 0), kwargs = {})
2024-05-15T23:46:28.8344312Z     %getitem_63 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_25, 1), kwargs = {})
2024-05-15T23:46:28.8346876Z     %quantized_decomposed_quantize_per_token_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_25, %getitem_62, %getitem_63, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8350368Z     %quantized_decomposed_dequantize_per_token_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_25, %getitem_62, %getitem_63, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8354927Z     %quantized_decomposed_dequantize_per_channel_group_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_feed_forward_w1_weight, %b_layers_3_feed_forward_w1_scales, %b_layers_3_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8357997Z     %aten_permute_copy_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_25, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8360051Z     %aten_view_copy_default_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_25, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8362018Z     %aten_mm_default_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_90, %aten_permute_copy_default_25), kwargs = {})
2024-05-15T23:46:28.8363787Z     %aten_view_copy_default_91 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_25, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8365452Z     %aten_sigmoid_default_3 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_91,), kwargs = {})
2024-05-15T23:46:28.8367140Z     %aten_mul_tensor_62 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_91, %aten_sigmoid_default_3), kwargs = {})
2024-05-15T23:46:28.8368913Z     %aten_constant_pad_nd_default_26 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_61, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8371083Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_26 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_26, torch.int8), kwargs = {})
2024-05-15T23:46:28.8373102Z     %getitem_64 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_26, 0), kwargs = {})
2024-05-15T23:46:28.8374591Z     %getitem_65 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_26, 1), kwargs = {})
2024-05-15T23:46:28.8376775Z     %quantized_decomposed_quantize_per_token_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_26, %getitem_64, %getitem_65, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8379660Z     %quantized_decomposed_dequantize_per_token_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_26, %getitem_64, %getitem_65, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8382922Z     %quantized_decomposed_dequantize_per_channel_group_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_feed_forward_w3_weight, %b_layers_3_feed_forward_w3_scales, %b_layers_3_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8385552Z     %aten_permute_copy_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_26, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8387575Z     %aten_view_copy_default_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_26, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8389524Z     %aten_mm_default_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_92, %aten_permute_copy_default_26), kwargs = {})
2024-05-15T23:46:28.8391260Z     %aten_view_copy_default_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_26, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8392975Z     %aten_mul_tensor_63 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_62, %aten_view_copy_default_93), kwargs = {})
2024-05-15T23:46:28.8394715Z     %aten_constant_pad_nd_default_27 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_63, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:28.8396903Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_27 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_27, torch.int8), kwargs = {})
2024-05-15T23:46:28.8398965Z     %getitem_66 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_27, 0), kwargs = {})
2024-05-15T23:46:28.8400461Z     %getitem_67 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_27, 1), kwargs = {})
2024-05-15T23:46:28.8402892Z     %quantized_decomposed_quantize_per_token_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_27, %getitem_66, %getitem_67, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8405779Z     %quantized_decomposed_dequantize_per_token_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_27, %getitem_66, %getitem_67, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8409030Z     %quantized_decomposed_dequantize_per_channel_group_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_3_feed_forward_w2_weight, %b_layers_3_feed_forward_w2_scales, %b_layers_3_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8411667Z     %aten_permute_copy_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_27, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8413691Z     %aten_view_copy_default_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_27, [1, 768]), kwargs = {})
2024-05-15T23:46:28.8415564Z     %aten_mm_default_27 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_94, %aten_permute_copy_default_27), kwargs = {})
2024-05-15T23:46:28.8417302Z     %aten_view_copy_default_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_27, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8418988Z     %aten_add_tensor_23 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_21, %aten_view_copy_default_95), kwargs = {})
2024-05-15T23:46:28.8420647Z     %aten_mul_tensor_64 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_23, %aten_add_tensor_23), kwargs = {})
2024-05-15T23:46:28.8422403Z     %aten_mean_dim_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_64, [-1], True), kwargs = {})
2024-05-15T23:46:28.8424039Z     %aten_add_tensor_24 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_8, %_lifted_tensor_constant152), kwargs = {})
2024-05-15T23:46:28.8425645Z     %aten_rsqrt_default_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_24,), kwargs = {})
2024-05-15T23:46:28.8427272Z     %aten_mul_tensor_65 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_23, %aten_rsqrt_default_8), kwargs = {})
2024-05-15T23:46:28.8428978Z     %aten_mul_tensor_66 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_65, %p_layers_4_attention_norm_weight), kwargs = {})
2024-05-15T23:46:28.8430795Z     %aten_constant_pad_nd_default_28 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_66, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8432967Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_28 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_28, torch.int8), kwargs = {})
2024-05-15T23:46:28.8434966Z     %getitem_68 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_28, 0), kwargs = {})
2024-05-15T23:46:28.8436458Z     %getitem_69 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_28, 1), kwargs = {})
2024-05-15T23:46:28.8438705Z     %quantized_decomposed_quantize_per_token_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_28, %getitem_68, %getitem_69, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8441714Z     %quantized_decomposed_dequantize_per_token_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_28, %getitem_68, %getitem_69, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8444918Z     %quantized_decomposed_dequantize_per_channel_group_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wq_weight, %b_layers_4_attention_wq_scales, %b_layers_4_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8447525Z     %aten_permute_copy_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_28, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8449539Z     %aten_view_copy_default_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_28, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8451410Z     %aten_mm_default_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_96, %aten_permute_copy_default_28), kwargs = {})
2024-05-15T23:46:28.8453152Z     %aten_view_copy_default_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_28, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8454905Z     %aten_constant_pad_nd_default_29 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_66, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8457165Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_29 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_29, torch.int8), kwargs = {})
2024-05-15T23:46:28.8459171Z     %getitem_70 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_29, 0), kwargs = {})
2024-05-15T23:46:28.8460689Z     %getitem_71 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_29, 1), kwargs = {})
2024-05-15T23:46:28.8462880Z     %quantized_decomposed_quantize_per_token_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_29, %getitem_70, %getitem_71, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8465802Z     %quantized_decomposed_dequantize_per_token_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_29, %getitem_70, %getitem_71, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8469010Z     %quantized_decomposed_dequantize_per_channel_group_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wk_weight, %b_layers_4_attention_wk_scales, %b_layers_4_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8471605Z     %aten_permute_copy_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_29, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8473628Z     %aten_view_copy_default_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_29, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8475491Z     %aten_mm_default_29 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_98, %aten_permute_copy_default_29), kwargs = {})
2024-05-15T23:46:28.8477224Z     %aten_view_copy_default_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_29, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8479033Z     %aten_constant_pad_nd_default_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_66, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8481304Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_30 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_30, torch.int8), kwargs = {})
2024-05-15T23:46:28.8483309Z     %getitem_72 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_30, 0), kwargs = {})
2024-05-15T23:46:28.8484801Z     %getitem_73 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_30, 1), kwargs = {})
2024-05-15T23:46:28.8486994Z     %quantized_decomposed_quantize_per_token_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_30, %getitem_72, %getitem_73, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8489934Z     %quantized_decomposed_dequantize_per_token_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_30, %getitem_72, %getitem_73, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8493167Z     %quantized_decomposed_dequantize_per_channel_group_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wv_weight, %b_layers_4_attention_wv_scales, %b_layers_4_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8495796Z     %aten_permute_copy_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_30, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8497845Z     %aten_view_copy_default_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_30, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8499735Z     %aten_mm_default_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_100, %aten_permute_copy_default_30), kwargs = {})
2024-05-15T23:46:28.8501479Z     %aten_view_copy_default_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_30, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8503218Z     %aten_view_copy_default_102 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_97, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8504970Z     %aten_view_copy_default_103 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_99, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8506745Z     %aten_view_copy_default_104 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_101, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8508658Z     %aten_view_copy_default_105 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_102, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.8510421Z     %aten_view_copy_default_106 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.8512122Z     %aten_select_copy_int_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_105, 4, 0), kwargs = {})
2024-05-15T23:46:28.8513786Z     %aten_select_copy_int_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_106, 4, 0), kwargs = {})
2024-05-15T23:46:28.8515491Z     %aten_mul_tensor_67 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_68, %aten_select_copy_int_69), kwargs = {})
2024-05-15T23:46:28.8517191Z     %aten_select_copy_int_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_105, 4, 1), kwargs = {})
2024-05-15T23:46:28.8518914Z     %aten_select_copy_int_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_106, 4, 1), kwargs = {})
2024-05-15T23:46:28.8520627Z     %aten_mul_tensor_68 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_70, %aten_select_copy_int_71), kwargs = {})
2024-05-15T23:46:28.8522449Z     %aten_sub_tensor_8 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_67, %aten_mul_tensor_68), kwargs = {})
2024-05-15T23:46:28.8524146Z     %aten_select_copy_int_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_105, 4, 1), kwargs = {})
2024-05-15T23:46:28.8525818Z     %aten_select_copy_int_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_106, 4, 0), kwargs = {})
2024-05-15T23:46:28.8527548Z     %aten_mul_tensor_69 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_72, %aten_select_copy_int_73), kwargs = {})
2024-05-15T23:46:28.8529254Z     %aten_select_copy_int_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_105, 4, 0), kwargs = {})
2024-05-15T23:46:28.8530955Z     %aten_select_copy_int_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_106, 4, 1), kwargs = {})
2024-05-15T23:46:28.8532657Z     %aten_mul_tensor_70 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_74, %aten_select_copy_int_75), kwargs = {})
2024-05-15T23:46:28.8534357Z     %aten_add_tensor_25 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_69, %aten_mul_tensor_70), kwargs = {})
2024-05-15T23:46:28.8536042Z     %aten_unsqueeze_copy_default_16 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_8, 4), kwargs = {})
2024-05-15T23:46:28.8537769Z     %aten_unsqueeze_copy_default_17 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_25, 4), kwargs = {})
2024-05-15T23:46:28.8539788Z     %aten_cat_default_8 : [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 = {})
2024-05-15T23:46:28.8541627Z     %aten_view_copy_default_107 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_8, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8543529Z     %aten_view_copy_default_108 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_103, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.8545310Z     %aten_view_copy_default_109 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.8547029Z     %aten_select_copy_int_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_108, 4, 0), kwargs = {})
2024-05-15T23:46:28.8548766Z     %aten_select_copy_int_77 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_109, 4, 0), kwargs = {})
2024-05-15T23:46:28.8550477Z     %aten_mul_tensor_71 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_76, %aten_select_copy_int_77), kwargs = {})
2024-05-15T23:46:28.8552191Z     %aten_select_copy_int_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_108, 4, 1), kwargs = {})
2024-05-15T23:46:28.8553861Z     %aten_select_copy_int_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_109, 4, 1), kwargs = {})
2024-05-15T23:46:28.8555605Z     %aten_mul_tensor_72 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_78, %aten_select_copy_int_79), kwargs = {})
2024-05-15T23:46:28.8557330Z     %aten_sub_tensor_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_71, %aten_mul_tensor_72), kwargs = {})
2024-05-15T23:46:28.8559062Z     %aten_select_copy_int_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_108, 4, 1), kwargs = {})
2024-05-15T23:46:28.8560750Z     %aten_select_copy_int_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_109, 4, 0), kwargs = {})
2024-05-15T23:46:28.8562558Z     %aten_mul_tensor_73 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_80, %aten_select_copy_int_81), kwargs = {})
2024-05-15T23:46:28.8564581Z     %aten_select_copy_int_82 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_108, 4, 0), kwargs = {})
2024-05-15T23:46:28.8566478Z     %aten_select_copy_int_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_109, 4, 1), kwargs = {})
2024-05-15T23:46:28.8568419Z     %aten_mul_tensor_74 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_82, %aten_select_copy_int_83), kwargs = {})
2024-05-15T23:46:28.8570343Z     %aten_add_tensor_26 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_73, %aten_mul_tensor_74), kwargs = {})
2024-05-15T23:46:28.8572272Z     %aten_unsqueeze_copy_default_18 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_9, 4), kwargs = {})
2024-05-15T23:46:28.8574258Z     %aten_unsqueeze_copy_default_19 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_26, 4), kwargs = {})
2024-05-15T23:46:28.8576524Z     %aten_cat_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_18, %aten_unsqueeze_copy_default_19], -1), kwargs = {})
2024-05-15T23:46:28.8578656Z     %aten_view_copy_default_110 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_9, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8580409Z     %aten_select_copy_int_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:28.8581918Z     %_local_scalar_dense_4 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%aten_select_copy_int_84,), kwargs = {})
2024-05-15T23:46:28.8583300Z     %ge_4 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_4, -9223372036854775808), kwargs = {})
2024-05-15T23:46:28.8584454Z     %scalar_tensor_8 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_4,), kwargs = {})
2024-05-15T23:46:28.8586224Z     %_assert_async_8 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_8, _local_scalar_dense_4 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.8587814Z     %le_4 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_4, 9223372036854775807), kwargs = {})
2024-05-15T23:46:28.8589018Z     %scalar_tensor_9 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_4,), kwargs = {})
2024-05-15T23:46:28.8590824Z     %_assert_async_9 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_9, _local_scalar_dense_4 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.8594038Z     %auto_functionalized_4 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %aten_view_copy_default_107, key: %aten_view_copy_default_110, value: %aten_view_copy_default_104, key_cache: %b_layers_4_attention_kv_cache_k_cache, value_cache: %b_layers_4_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_4, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:28.8596765Z     %getitem_74 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_4, 0), kwargs = {})
2024-05-15T23:46:28.8597934Z     %getitem_75 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_4, 1), kwargs = {})
2024-05-15T23:46:28.8599070Z     %getitem_76 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_4, 2), kwargs = {})
2024-05-15T23:46:28.8600444Z     %aten_view_copy_default_111 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem_74, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8602321Z     %aten_constant_pad_nd_default_31 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_view_copy_default_111, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8604567Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_31 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_31, torch.int8), kwargs = {})
2024-05-15T23:46:28.8606608Z     %getitem_77 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_31, 0), kwargs = {})
2024-05-15T23:46:28.8608128Z     %getitem_78 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_31, 1), kwargs = {})
2024-05-15T23:46:28.8610341Z     %quantized_decomposed_quantize_per_token_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_31, %getitem_77, %getitem_78, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8613279Z     %quantized_decomposed_dequantize_per_token_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_31, %getitem_77, %getitem_78, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8616517Z     %quantized_decomposed_dequantize_per_channel_group_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_attention_wo_weight, %b_layers_4_attention_wo_scales, %b_layers_4_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8619197Z     %aten_permute_copy_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_31, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8621245Z     %aten_view_copy_default_112 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_31, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8623148Z     %aten_mm_default_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_112, %aten_permute_copy_default_31), kwargs = {})
2024-05-15T23:46:28.8624951Z     %aten_view_copy_default_113 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_31, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8626693Z     %aten_add_tensor_27 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_23, %aten_view_copy_default_113), kwargs = {})
2024-05-15T23:46:28.8628379Z     %aten_mul_tensor_75 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_27, %aten_add_tensor_27), kwargs = {})
2024-05-15T23:46:28.8630158Z     %aten_mean_dim_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_75, [-1], True), kwargs = {})
2024-05-15T23:46:28.8631786Z     %aten_add_tensor_28 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_9, %_lifted_tensor_constant153), kwargs = {})
2024-05-15T23:46:28.8633662Z     %aten_rsqrt_default_9 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_28,), kwargs = {})
2024-05-15T23:46:28.8635508Z     %aten_mul_tensor_76 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_27, %aten_rsqrt_default_9), kwargs = {})
2024-05-15T23:46:28.8637484Z     %aten_mul_tensor_77 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_76, %p_layers_4_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:28.8639267Z     %aten_constant_pad_nd_default_32 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_77, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8641538Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_32 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_32, torch.int8), kwargs = {})
2024-05-15T23:46:28.8643565Z     %getitem_79 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_32, 0), kwargs = {})
2024-05-15T23:46:28.8645068Z     %getitem_80 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_32, 1), kwargs = {})
2024-05-15T23:46:28.8647262Z     %quantized_decomposed_quantize_per_token_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_32, %getitem_79, %getitem_80, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8650171Z     %quantized_decomposed_dequantize_per_token_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_32, %getitem_79, %getitem_80, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8653439Z     %quantized_decomposed_dequantize_per_channel_group_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_feed_forward_w1_weight, %b_layers_4_feed_forward_w1_scales, %b_layers_4_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8656089Z     %aten_permute_copy_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_32, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8658129Z     %aten_view_copy_default_114 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_32, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8660081Z     %aten_mm_default_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_114, %aten_permute_copy_default_32), kwargs = {})
2024-05-15T23:46:28.8661881Z     %aten_view_copy_default_115 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_32, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8663573Z     %aten_sigmoid_default_4 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_115,), kwargs = {})
2024-05-15T23:46:28.8665305Z     %aten_mul_tensor_78 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_115, %aten_sigmoid_default_4), kwargs = {})
2024-05-15T23:46:28.8667113Z     %aten_constant_pad_nd_default_33 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_77, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8669350Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_33 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_33, torch.int8), kwargs = {})
2024-05-15T23:46:28.8671384Z     %getitem_81 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_33, 0), kwargs = {})
2024-05-15T23:46:28.8672894Z     %getitem_82 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_33, 1), kwargs = {})
2024-05-15T23:46:28.8675097Z     %quantized_decomposed_quantize_per_token_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_33, %getitem_81, %getitem_82, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8678068Z     %quantized_decomposed_dequantize_per_token_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_33, %getitem_81, %getitem_82, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8681440Z     %quantized_decomposed_dequantize_per_channel_group_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_feed_forward_w3_weight, %b_layers_4_feed_forward_w3_scales, %b_layers_4_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8684104Z     %aten_permute_copy_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_33, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8686155Z     %aten_view_copy_default_116 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_33, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8688059Z     %aten_mm_default_33 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_116, %aten_permute_copy_default_33), kwargs = {})
2024-05-15T23:46:28.8689819Z     %aten_view_copy_default_117 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_33, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8691539Z     %aten_mul_tensor_79 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_78, %aten_view_copy_default_117), kwargs = {})
2024-05-15T23:46:28.8693360Z     %aten_constant_pad_nd_default_34 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_79, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:28.8695597Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_34 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_34, torch.int8), kwargs = {})
2024-05-15T23:46:28.8697633Z     %getitem_83 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_34, 0), kwargs = {})
2024-05-15T23:46:28.8699170Z     %getitem_84 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_34, 1), kwargs = {})
2024-05-15T23:46:28.8701385Z     %quantized_decomposed_quantize_per_token_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_34, %getitem_83, %getitem_84, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8704342Z     %quantized_decomposed_dequantize_per_token_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_34, %getitem_83, %getitem_84, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8707619Z     %quantized_decomposed_dequantize_per_channel_group_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_4_feed_forward_w2_weight, %b_layers_4_feed_forward_w2_scales, %b_layers_4_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8710280Z     %aten_permute_copy_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_34, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8712340Z     %aten_view_copy_default_118 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_34, [1, 768]), kwargs = {})
2024-05-15T23:46:28.8714236Z     %aten_mm_default_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_118, %aten_permute_copy_default_34), kwargs = {})
2024-05-15T23:46:28.8716007Z     %aten_view_copy_default_119 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_34, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8717809Z     %aten_add_tensor_29 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_27, %aten_view_copy_default_119), kwargs = {})
2024-05-15T23:46:28.8719747Z     %aten_mul_tensor_80 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_29, %aten_add_tensor_29), kwargs = {})
2024-05-15T23:46:28.8721799Z     %aten_mean_dim_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_80, [-1], True), kwargs = {})
2024-05-15T23:46:28.8723654Z     %aten_add_tensor_30 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_10, %_lifted_tensor_constant154), kwargs = {})
2024-05-15T23:46:28.8725521Z     %aten_rsqrt_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_30,), kwargs = {})
2024-05-15T23:46:28.8727369Z     %aten_mul_tensor_81 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_29, %aten_rsqrt_default_10), kwargs = {})
2024-05-15T23:46:28.8729390Z     %aten_mul_tensor_82 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_81, %p_layers_5_attention_norm_weight), kwargs = {})
2024-05-15T23:46:28.8731480Z     %aten_constant_pad_nd_default_35 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_82, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8734066Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_35 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_35, torch.int8), kwargs = {})
2024-05-15T23:46:28.8736434Z     %getitem_85 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_35, 0), kwargs = {})
2024-05-15T23:46:28.8738196Z     %getitem_86 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_35, 1), kwargs = {})
2024-05-15T23:46:28.8740775Z     %quantized_decomposed_quantize_per_token_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_35, %getitem_85, %getitem_86, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8744212Z     %quantized_decomposed_dequantize_per_token_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_35, %getitem_85, %getitem_86, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8748043Z     %quantized_decomposed_dequantize_per_channel_group_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wq_weight, %b_layers_5_attention_wq_scales, %b_layers_5_attention_wq_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8751135Z     %aten_permute_copy_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_35, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8753499Z     %aten_view_copy_default_120 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_35, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8755692Z     %aten_mm_default_35 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_120, %aten_permute_copy_default_35), kwargs = {})
2024-05-15T23:46:28.8757732Z     %aten_view_copy_default_121 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_35, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8759506Z     %aten_constant_pad_nd_default_36 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_82, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8761794Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_36 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_36, torch.int8), kwargs = {})
2024-05-15T23:46:28.8763807Z     %getitem_87 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_36, 0), kwargs = {})
2024-05-15T23:46:28.8765310Z     %getitem_88 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_36, 1), kwargs = {})
2024-05-15T23:46:28.8767590Z     %quantized_decomposed_quantize_per_token_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_36, %getitem_87, %getitem_88, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8770487Z     %quantized_decomposed_dequantize_per_token_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_36, %getitem_87, %getitem_88, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8773749Z     %quantized_decomposed_dequantize_per_channel_group_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wk_weight, %b_layers_5_attention_wk_scales, %b_layers_5_attention_wk_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8776408Z     %aten_permute_copy_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_36, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8778447Z     %aten_view_copy_default_122 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_36, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8780347Z     %aten_mm_default_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_122, %aten_permute_copy_default_36), kwargs = {})
2024-05-15T23:46:28.8782104Z     %aten_view_copy_default_123 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_36, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8783870Z     %aten_constant_pad_nd_default_37 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_82, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8786058Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_37 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_37, torch.int8), kwargs = {})
2024-05-15T23:46:28.8788079Z     %getitem_89 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_37, 0), kwargs = {})
2024-05-15T23:46:28.8789576Z     %getitem_90 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_37, 1), kwargs = {})
2024-05-15T23:46:28.8791763Z     %quantized_decomposed_quantize_per_token_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_37, %getitem_89, %getitem_90, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8794693Z     %quantized_decomposed_dequantize_per_token_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_37, %getitem_89, %getitem_90, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8798011Z     %quantized_decomposed_dequantize_per_channel_group_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wv_weight, %b_layers_5_attention_wv_scales, %b_layers_5_attention_wv_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8800676Z     %aten_permute_copy_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_37, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8802849Z     %aten_view_copy_default_124 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_37, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8804741Z     %aten_mm_default_37 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_124, %aten_permute_copy_default_37), kwargs = {})
2024-05-15T23:46:28.8806519Z     %aten_view_copy_default_125 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_37, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8808271Z     %aten_view_copy_default_126 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_121, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8810092Z     %aten_view_copy_default_127 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_123, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8811881Z     %aten_view_copy_default_128 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_125, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8813810Z     %aten_view_copy_default_129 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_126, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.8815572Z     %aten_view_copy_default_130 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.8817285Z     %aten_select_copy_int_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_129, 4, 0), kwargs = {})
2024-05-15T23:46:28.8819008Z     %aten_select_copy_int_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_130, 4, 0), kwargs = {})
2024-05-15T23:46:28.8820720Z     %aten_mul_tensor_83 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_85, %aten_select_copy_int_86), kwargs = {})
2024-05-15T23:46:28.8822430Z     %aten_select_copy_int_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_129, 4, 1), kwargs = {})
2024-05-15T23:46:28.8824096Z     %aten_select_copy_int_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_130, 4, 1), kwargs = {})
2024-05-15T23:46:28.8825801Z     %aten_mul_tensor_84 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_87, %aten_select_copy_int_88), kwargs = {})
2024-05-15T23:46:28.8827498Z     %aten_sub_tensor_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_83, %aten_mul_tensor_84), kwargs = {})
2024-05-15T23:46:28.8829215Z     %aten_select_copy_int_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_129, 4, 1), kwargs = {})
2024-05-15T23:46:28.8830875Z     %aten_select_copy_int_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_130, 4, 0), kwargs = {})
2024-05-15T23:46:28.8832569Z     %aten_mul_tensor_85 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_89, %aten_select_copy_int_90), kwargs = {})
2024-05-15T23:46:28.8834323Z     %aten_select_copy_int_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_129, 4, 0), kwargs = {})
2024-05-15T23:46:28.8836018Z     %aten_select_copy_int_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_130, 4, 1), kwargs = {})
2024-05-15T23:46:28.8837762Z     %aten_mul_tensor_86 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_91, %aten_select_copy_int_92), kwargs = {})
2024-05-15T23:46:28.8839501Z     %aten_add_tensor_31 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_85, %aten_mul_tensor_86), kwargs = {})
2024-05-15T23:46:28.8841288Z     %aten_unsqueeze_copy_default_20 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_10, 4), kwargs = {})
2024-05-15T23:46:28.8843052Z     %aten_unsqueeze_copy_default_21 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_31, 4), kwargs = {})
2024-05-15T23:46:28.8845014Z     %aten_cat_default_10 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_20, %aten_unsqueeze_copy_default_21], -1), kwargs = {})
2024-05-15T23:46:28.8846851Z     %aten_view_copy_default_131 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_10, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8848762Z     %aten_view_copy_default_132 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_view_copy_default_127, [1, 1, 6, -1, 2]), kwargs = {})
2024-05-15T23:46:28.8850549Z     %aten_view_copy_default_133 : [num_users=4] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_index_tensor, [1, 1, 1, 24, 2]), kwargs = {})
2024-05-15T23:46:28.8851322Z     %aten_select_copy_int_93 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_132, 4, 0), kwargs = {})
2024-05-15T23:46:28.8852100Z     %aten_select_copy_int_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_133, 4, 0), kwargs = {})
2024-05-15T23:46:28.8852896Z     %aten_mul_tensor_87 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_93, %aten_select_copy_int_94), kwargs = {})
2024-05-15T23:46:28.8853675Z     %aten_select_copy_int_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_132, 4, 1), kwargs = {})
2024-05-15T23:46:28.8854445Z     %aten_select_copy_int_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_133, 4, 1), kwargs = {})
2024-05-15T23:46:28.8855252Z     %aten_mul_tensor_88 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_95, %aten_select_copy_int_96), kwargs = {})
2024-05-15T23:46:28.8856007Z     %aten_sub_tensor_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sub.Tensor](args = (%aten_mul_tensor_87, %aten_mul_tensor_88), kwargs = {})
2024-05-15T23:46:28.8856772Z     %aten_select_copy_int_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_132, 4, 1), kwargs = {})
2024-05-15T23:46:28.8857535Z     %aten_select_copy_int_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_133, 4, 0), kwargs = {})
2024-05-15T23:46:28.8858372Z     %aten_mul_tensor_89 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_97, %aten_select_copy_int_98), kwargs = {})
2024-05-15T23:46:28.8859175Z     %aten_select_copy_int_99 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_132, 4, 0), kwargs = {})
2024-05-15T23:46:28.8859957Z     %aten_select_copy_int_100 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%aten_view_copy_default_133, 4, 1), kwargs = {})
2024-05-15T23:46:28.8860781Z     %aten_mul_tensor_90 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_select_copy_int_99, %aten_select_copy_int_100), kwargs = {})
2024-05-15T23:46:28.8861547Z     %aten_add_tensor_32 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mul_tensor_89, %aten_mul_tensor_90), kwargs = {})
2024-05-15T23:46:28.8862367Z     %aten_unsqueeze_copy_default_22 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_sub_tensor_11, 4), kwargs = {})
2024-05-15T23:46:28.8863171Z     %aten_unsqueeze_copy_default_23 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.unsqueeze_copy.default](args = (%aten_add_tensor_32, 4), kwargs = {})
2024-05-15T23:46:28.8864204Z     %aten_cat_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.cat.default](args = ([%aten_unsqueeze_copy_default_22, %aten_unsqueeze_copy_default_23], -1), kwargs = {})
2024-05-15T23:46:28.8865010Z     %aten_view_copy_default_134 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_cat_default_11, [1, 1, 6, 48]), kwargs = {})
2024-05-15T23:46:28.8865836Z     %aten_select_copy_int_101 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.select_copy.int](args = (%input_pos, 0, -1), kwargs = {})
2024-05-15T23:46:28.8866492Z     %_local_scalar_dense_5 : [num_users=3] = call_function[target=torch.ops.aten._local_scalar_dense.default](args = (%aten_select_copy_int_101,), kwargs = {})
2024-05-15T23:46:28.8867087Z     %ge_5 : [num_users=1] = call_function[target=operator.ge](args = (%_local_scalar_dense_5, -9223372036854775808), kwargs = {})
2024-05-15T23:46:28.8867618Z     %scalar_tensor_10 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%ge_5,), kwargs = {})
2024-05-15T23:46:28.8868744Z     %_assert_async_10 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_10, _local_scalar_dense_5 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.8869230Z     %le_5 : [num_users=1] = call_function[target=operator.le](args = (%_local_scalar_dense_5, 9223372036854775807), kwargs = {})
2024-05-15T23:46:28.8869762Z     %scalar_tensor_11 : [num_users=1] = call_function[target=torch.ops.aten.scalar_tensor.default](args = (%le_5,), kwargs = {})
2024-05-15T23:46:28.8870882Z     %_assert_async_11 : [num_users=0] = call_function[target=torch.ops.aten._assert_async.msg](args = (%scalar_tensor_11, _local_scalar_dense_5 is outside of inline constraint [-9223372036854775808, 9223372036854775807].), kwargs = {})
2024-05-15T23:46:28.8872963Z     %auto_functionalized_5 : [num_users=3] = call_function[target=torch._higher_order_ops.auto_functionalize.auto_functionalized](args = (llama.sdpa_with_kv_cache.default,), kwargs = {query: %aten_view_copy_default_131, key: %aten_view_copy_default_134, value: %aten_view_copy_default_128, key_cache: %b_layers_5_attention_kv_cache_k_cache, value_cache: %b_layers_5_attention_kv_cache_v_cache, start_pos: %_local_scalar_dense_5, seq_len: 1, attn_mask: None, drpout_p: 0.0, is_causal: False, scale: None})
2024-05-15T23:46:28.8873495Z     %getitem_91 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_5, 0), kwargs = {})
2024-05-15T23:46:28.8873984Z     %getitem_92 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_5, 1), kwargs = {})
2024-05-15T23:46:28.8874501Z     %getitem_93 : [num_users=1] = call_function[target=operator.getitem](args = (%auto_functionalized_5, 2), kwargs = {})
2024-05-15T23:46:28.8875263Z     %aten_view_copy_default_135 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%getitem_91, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8876167Z     %aten_constant_pad_nd_default_38 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_view_copy_default_135, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8877440Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_38 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_38, torch.int8), kwargs = {})
2024-05-15T23:46:28.8878154Z     %getitem_94 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_38, 0), kwargs = {})
2024-05-15T23:46:28.8878841Z     %getitem_95 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_38, 1), kwargs = {})
2024-05-15T23:46:28.8880236Z     %quantized_decomposed_quantize_per_token_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_38, %getitem_94, %getitem_95, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8881911Z     %quantized_decomposed_dequantize_per_token_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_38, %getitem_94, %getitem_95, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8883652Z     %quantized_decomposed_dequantize_per_channel_group_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_attention_wo_weight, %b_layers_5_attention_wo_scales, %b_layers_5_attention_wo_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8884646Z     %aten_permute_copy_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_38, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8885569Z     %aten_view_copy_default_136 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_38, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8886422Z     %aten_mm_default_38 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_136, %aten_permute_copy_default_38), kwargs = {})
2024-05-15T23:46:28.8887209Z     %aten_view_copy_default_137 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_38, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8888002Z     %aten_add_tensor_33 : [num_users=3] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_29, %aten_view_copy_default_137), kwargs = {})
2024-05-15T23:46:28.8888766Z     %aten_mul_tensor_91 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_33, %aten_add_tensor_33), kwargs = {})
2024-05-15T23:46:28.8889578Z     %aten_mean_dim_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_91, [-1], True), kwargs = {})
2024-05-15T23:46:28.8890413Z     %aten_add_tensor_34 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_11, %_lifted_tensor_constant155), kwargs = {})
2024-05-15T23:46:28.8891164Z     %aten_rsqrt_default_11 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_34,), kwargs = {})
2024-05-15T23:46:28.8891932Z     %aten_mul_tensor_92 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_33, %aten_rsqrt_default_11), kwargs = {})
2024-05-15T23:46:28.8892752Z     %aten_mul_tensor_93 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_92, %p_layers_5_ffn_norm_weight), kwargs = {})
2024-05-15T23:46:28.8893605Z     %aten_constant_pad_nd_default_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_93, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8894862Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_39 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_39, torch.int8), kwargs = {})
2024-05-15T23:46:28.8895545Z     %getitem_96 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_39, 0), kwargs = {})
2024-05-15T23:46:28.8896238Z     %getitem_97 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_39, 1), kwargs = {})
2024-05-15T23:46:28.8897624Z     %quantized_decomposed_quantize_per_token_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_39, %getitem_96, %getitem_97, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8899219Z     %quantized_decomposed_dequantize_per_token_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_39, %getitem_96, %getitem_97, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8900990Z     %quantized_decomposed_dequantize_per_channel_group_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_feed_forward_w1_weight, %b_layers_5_feed_forward_w1_scales, %b_layers_5_feed_forward_w1_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8901984Z     %aten_permute_copy_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_39, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8902915Z     %aten_view_copy_default_138 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_39, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8903752Z     %aten_mm_default_39 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_138, %aten_permute_copy_default_39), kwargs = {})
2024-05-15T23:46:28.8904546Z     %aten_view_copy_default_139 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_39, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8905305Z     %aten_sigmoid_default_5 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.sigmoid.default](args = (%aten_view_copy_default_139,), kwargs = {})
2024-05-15T23:46:28.8906152Z     %aten_mul_tensor_94 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_view_copy_default_139, %aten_sigmoid_default_5), kwargs = {})
2024-05-15T23:46:28.8907025Z     %aten_constant_pad_nd_default_40 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_93, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8908249Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_40 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_40, torch.int8), kwargs = {})
2024-05-15T23:46:28.8908961Z     %getitem_98 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_40, 0), kwargs = {})
2024-05-15T23:46:28.8909643Z     %getitem_99 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_40, 1), kwargs = {})
2024-05-15T23:46:28.8911055Z     %quantized_decomposed_quantize_per_token_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_40, %getitem_98, %getitem_99, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8912631Z     %quantized_decomposed_dequantize_per_token_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_40, %getitem_98, %getitem_99, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8914406Z     %quantized_decomposed_dequantize_per_channel_group_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_feed_forward_w3_weight, %b_layers_5_feed_forward_w3_scales, %b_layers_5_feed_forward_w3_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8915398Z     %aten_permute_copy_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_40, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8916342Z     %aten_view_copy_default_140 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_40, [1, 512]), kwargs = {})
2024-05-15T23:46:28.8917184Z     %aten_mm_default_40 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_140, %aten_permute_copy_default_40), kwargs = {})
2024-05-15T23:46:28.8918027Z     %aten_view_copy_default_141 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_40, [1, 1, 768]), kwargs = {})
2024-05-15T23:46:28.8918824Z     %aten_mul_tensor_95 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_94, %aten_view_copy_default_141), kwargs = {})
2024-05-15T23:46:28.8919664Z     %aten_constant_pad_nd_default_41 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_95, [0, 0], 0.0), kwargs = {})
2024-05-15T23:46:28.8921060Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_41 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_41, torch.int8), kwargs = {})
2024-05-15T23:46:28.8921757Z     %getitem_100 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_41, 0), kwargs = {})
2024-05-15T23:46:28.8922498Z     %getitem_101 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_41, 1), kwargs = {})
2024-05-15T23:46:28.8923929Z     %quantized_decomposed_quantize_per_token_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_41, %getitem_100, %getitem_101, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:28.8925547Z     %quantized_decomposed_dequantize_per_token_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_41, %getitem_100, %getitem_101, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:28.8927317Z     %quantized_decomposed_dequantize_per_channel_group_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_layers_5_feed_forward_w2_weight, %b_layers_5_feed_forward_w2_scales, %b_layers_5_feed_forward_w2_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:28.8928343Z     %aten_permute_copy_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_41, [1, 0]), kwargs = {})
2024-05-15T23:46:28.8929273Z     %aten_view_copy_default_142 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_41, [1, 768]), kwargs = {})
2024-05-15T23:46:28.8930121Z     %aten_mm_default_41 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_142, %aten_permute_copy_default_41), kwargs = {})
2024-05-15T23:46:28.8930910Z     %aten_view_copy_default_143 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_41, [1, 1, 288]), kwargs = {})
2024-05-15T23:46:28.8931705Z     %aten_add_tensor_35 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_add_tensor_33, %aten_view_copy_default_143), kwargs = {})
2024-05-15T23:46:28.8932466Z     %aten_mul_tensor_96 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_35, %aten_add_tensor_35), kwargs = {})
2024-05-15T23:46:28.8933278Z     %aten_mean_dim_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mean.dim](args = (%aten_mul_tensor_96, [-1], True), kwargs = {})
2024-05-15T23:46:28.8934075Z     %aten_add_tensor_36 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.add.Tensor](args = (%aten_mean_dim_12, %_lifted_tensor_constant156), kwargs = {})
2024-05-15T23:46:28.8934793Z     %aten_rsqrt_default_12 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.rsqrt.default](args = (%aten_add_tensor_36,), kwargs = {})
2024-05-15T23:46:28.8935560Z     %aten_mul_tensor_97 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_add_tensor_35, %aten_rsqrt_default_12), kwargs = {})
2024-05-15T23:46:28.8936305Z     %aten_mul_tensor_98 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mul.Tensor](args = (%aten_mul_tensor_97, %p_norm_weight), kwargs = {})
2024-05-15T23:46:28.8937153Z     %aten_constant_pad_nd_default_42 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.aten.constant_pad_nd.default](args = (%aten_mul_tensor_98, [0, 224], 0.0), kwargs = {})
2024-05-15T23:46:28.8938373Z     %quantized_decomposed_choose_qparams_per_token_asymmetric_default_42 : [num_users=2] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.choose_qparams_per_token_asymmetric.default](args = (%aten_constant_pad_nd_default_42, torch.int8), kwargs = {})
2024-05-15T23:46:40.6213026Z     %getitem_102 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_42, 0), kwargs = {})
2024-05-15T23:46:40.6215099Z     %getitem_103 : [num_users=2] = call_function[target=operator.getitem](args = (%quantized_decomposed_choose_qparams_per_token_asymmetric_default_42, 1), kwargs = {})
2024-05-15T23:46:40.6217840Z     %quantized_decomposed_quantize_per_token_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.quantize_per_token.default](args = (%aten_constant_pad_nd_default_42, %getitem_102, %getitem_103, -128, 127, torch.int8), kwargs = {})
2024-05-15T23:46:40.6221290Z     %quantized_decomposed_dequantize_per_token_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_token.default](args = (%quantized_decomposed_quantize_per_token_default_42, %getitem_102, %getitem_103, -128, 127, torch.int8, torch.float32), kwargs = {})
2024-05-15T23:46:40.6224883Z     %quantized_decomposed_dequantize_per_channel_group_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.quantized_decomposed.dequantize_per_channel_group.default](args = (%b_output_weight, %b_output_scales, %b_output_zeros, -8, 7, torch.int8, 256, torch.float32), kwargs = {})
2024-05-15T23:46:40.6227673Z     %aten_permute_copy_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.permute_copy.default](args = (%quantized_decomposed_dequantize_per_channel_group_default_42, [1, 0]), kwargs = {})
2024-05-15T23:46:40.6229979Z     %aten_view_copy_default_144 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%quantized_decomposed_dequantize_per_token_default_42, [1, 512]), kwargs = {})
2024-05-15T23:46:40.6232128Z     %aten_mm_default_42 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.mm.default](args = (%aten_view_copy_default_144, %aten_permute_copy_default_42), kwargs = {})
2024-05-15T23:46:40.6234142Z     %aten_view_copy_default_145 : [num_users=1] = call_function[target=executorch.exir.dialects.edge._ops.aten.view_copy.default](args = (%aten_mm_default_42, [1, 1, 32000]), kwargs = {})
2024-05-15T23:46:40.6236022Z     return (getitem_7, getitem_8, getitem_24, getitem_25, getitem_41, getitem_42, getitem_58, getitem_59, getitem_75, getitem_76, getitem_92, getitem_93, aten_view_copy_default_145)
2024-05-15T23:46:40.6237181Z Found 43 subgraphs to be partitioned.
2024-05-15T23:46:40.6239278Z /opt/conda/lib/python3.11/site-packages/executorch/exir/emit/_emitter.py:1474: 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.
2024-05-15T23:46:40.6241194Z   warnings.warn(
2024-05-15T23:46:40.6241618Z The methods are:  {'forward'}
2024-05-15T23:46:40.6242387Z + python3 generate.py stories15M --pte-path stories15M.pte --prompt 'Hello my name is'
2024-05-15T23:46:40.6243360Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:46:40.6244291Z Warning: checkpoint path ignored because an exported DSO or PTE path specified
2024-05-15T23:46:40.6245001Z Using device=cpu AMD EPYC 7R32
2024-05-15T23:46:40.6245410Z Loading model...
2024-05-15T23:46:40.6245775Z Time to load model: 0.02 seconds
2024-05-15T23:46:40.6246599Z I 00:00:00.000757 executorch:program.cpp:129] InternalConsistency verification requested but not available
2024-05-15T23:46:40.6247903Z E 00:00:00.119921 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6249218Z E 00:00:00.124671 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6250634Z E 00:00:00.128492 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6251942Z E 00:00:00.132312 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6253301Z E 00:00:00.136060 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6254605Z E 00:00:00.154498 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6255904Z E 00:00:00.165308 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6257379Z Hello my name is Lily,E 00:00:00.192053 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6258804Z E 00:00:00.203702 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6260155Z E 00:00:00.228063 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6261468Z E 00:00:00.249860 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6262848Z  the bird. SurE 00:00:00.266707 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6264244Z E 00:00:00.289594 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6266670Z E 00:00:00.303710 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6267971Z E 00:00:00.328362 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6269344Z f is a veryE 00:00:00.353821 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6270721Z E 00:00:00.365928 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6272024Z E 00:00:00.376677 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6273327Z E 00:00:00.404004 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6274692Z  3 year oldE 00:00:00.426723 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6276069Z E 00:00:00.441822 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6277435Z E 00:00:00.452614 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6278738Z E 00:00:00.488375 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6280168Z  and has a beautifulE 00:00:00.499165 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6281749Z E 00:00:00.517867 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6283048Z E 00:00:00.545807 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6284351Z E 00:00:00.557874 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6285207Z  heart".
2024-05-15T23:46:40.6285969Z LE 00:00:00.568689 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6287279Z E 00:00:00.592490 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6288581Z E 00:00:00.621813 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6289957Z E 00:00:00.644988 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6291388Z ily looked up atE 00:00:00.669807 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6292793Z E 00:00:00.682352 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6294096Z E 00:00:00.708244 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6295437Z E 00:00:00.740232 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6296839Z  the sky and saidE 00:00:00.761872 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6298241Z E 00:00:00.780051 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6299607Z E 00:00:00.790860 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6300912Z E 00:00:00.813438 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6302250Z , "I wishE 00:00:00.840103 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6303605Z E 00:00:00.868454 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6304915Z E 00:00:00.893083 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:40.6306203Z E 00:00:00.918405 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0951883Z  I could fly likeE 00:00:00.954536 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0953339Z E 00:00:00.964040 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0954673Z E 00:00:00.996390 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0955981Z E 00:00:01.019333 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0956841Z  you".
2024-05-15T23:46:42.0957688Z LE 00:00:01.033888 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0959015Z E 00:00:01.047683 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0960322Z E 00:00:01.072031 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0961783Z E 00:00:01.093811 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0963375Z ily's momE 00:00:01.121823 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0964727Z E 00:00:01.132299 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0966045Z E 00:00:01.161801 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0967339Z E 00:00:01.181790 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0968764Z  heard her and saidE 00:00:01.195723 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0970166Z E 00:00:01.220029 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0971769Z E 00:00:01.246037 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0973069Z E 00:00:01.269819 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0974466Z , "Oh,E 00:00:01.289942 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0975789Z E 00:00:01.307789 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0977096Z E 00:00:01.332763 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0978454Z E 00:00:01.373876 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0979928Z  why don'tE 00:00:01.390723 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0981360Z E 00:00:01.409799 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0982662Z E 00:00:01.421883 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0983962Z E 00:00:01.448095 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0985353Z  you stay and tryE 00:00:01.472528 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0986756Z E 00:00:01.497810 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0988055Z E 00:00:01.517800 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0989352Z E 00:00:01.536019 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0990827Z  to clap yourE 00:00:01.557949 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0992260Z E 00:00:01.586746 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0993568Z E 00:00:01.599713 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0994866Z E 00:00:01.637961 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0996286Z  wings like the birdsE 00:00:01.648751 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0997778Z E 00:00:01.676041 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.0999087Z E 00:00:01.705822 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1000384Z E 00:00:01.716647 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1001373Z ".
2024-05-15T23:46:42.1002143Z So LE 00:00:01.741970 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1003472Z E 00:00:01.753879 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1004766Z E 00:00:01.773819 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1006069Z E 00:00:01.787700 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1007464Z ily clapped herE 00:00:01.812184 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1008920Z E 00:00:01.833831 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1010221Z E 00:00:01.845959 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1011558Z E 00:00:01.865821 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1012965Z  little hands, andE 00:00:01.894528 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1014362Z E 00:00:01.913862 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1015700Z E 00:00:01.925927 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1017004Z E 00:00:01.948918 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1018473Z  soon she felt likeE 00:00:01.978399 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1019871Z E 00:00:02.006192 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1021177Z E 00:00:02.022625 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1022480Z E 00:00:02.055996 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1023872Z  she was flying!E 00:00:02.080602 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1025267Z E 00:00:02.102900 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1026567Z E 00:00:02.124100 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1027867Z E 00:00:02.149854 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1028605Z 
2024-05-15T23:46:42.1029228Z Lily andE 00:00:02.178396 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1030577Z E 00:00:02.191695 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1031875Z E 00:00:02.217979 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1033180Z E 00:00:02.229923 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1034547Z  her mom flewE 00:00:02.244197 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1035926Z E 00:00:02.269824 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1037231Z E 00:00:02.292712 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1038624Z E 00:00:02.307707 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1040032Z  together in the skyE 00:00:02.342025 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1041555Z E 00:00:02.347737 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1042861Z E 00:00:02.373811 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:42.1044147Z E 00:00:02.393800 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5834863Z , every now andE 00:00:02.421177 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5836300Z E 00:00:02.441806 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5838079Z E 00:00:02.463190 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5839403Z E 00:00:02.489840 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5840962Z  then they would comeE 00:00:02.508167 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5842480Z E 00:00:02.529829 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5843791Z E 00:00:02.553924 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5845180Z E 00:00:02.582123 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5846624Z  back home together andE 00:00:02.593013 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5848056Z E 00:00:02.613844 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5849370Z E 00:00:02.627757 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5850668Z E 00:00:02.650401 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5852044Z  Lung with aE 00:00:02.666615 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5853410Z E 00:00:02.692160 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5854721Z E 00:00:02.716747 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5856030Z E 00:00:02.741939 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5857709Z  “Good morning!”E 00:00:02.768563 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5859103Z E 00:00:02.793066 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5860421Z E 00:00:02.798321 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5861726Z E 00:00:02.825885 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5862489Z 
2024-05-15T23:46:43.5863145Z Lily knewE 00:00:02.843012 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5864511Z E 00:00:02.860157 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5865822Z E 00:00:02.893956 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5867123Z E 00:00:02.904850 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5868525Z  that she had doneE 00:00:02.932025 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5869941Z E 00:00:02.953809 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5871247Z E 00:00:02.973876 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5872624Z E 00:00:02.985937 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5874057Z  something really a fewE 00:00:03.003070 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5875523Z E 00:00:03.026296 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5876834Z E 00:00:03.041892 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5878206Z E 00:00:03.047744 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5879671Z  great attempts to beE 00:00:03.074060 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5881206Z E 00:00:03.092681 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5882620Z E 00:00:03.118730 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5883916Z E 00:00:03.148096 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5885338Z  successful. She wasE 00:00:03.174672 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5886750Z E 00:00:03.187701 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5888050Z E 00:00:03.213528 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5889346Z E 00:00:03.249051 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5890762Z  very happy and knewE 00:00:03.260262 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5892185Z E 00:00:03.288740 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5893479Z E 00:00:03.309922 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5894781Z E 00:00:03.328008 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5896189Z  that she could flyE 00:00:03.352624 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5897599Z E 00:00:03.386761 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5898890Z E 00:00:03.413967 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5900197Z E 00:00:03.426631 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5901574Z  like a bird.E 00:00:03.453844 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5902955Z E 00:00:03.482156 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5904245Z E 00:00:03.498723 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5905550Z E 00:00:03.530258 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5906919Z  Once upon aE 00:00:03.557580 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5908280Z E 00:00:03.583739 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5909641Z E 00:00:03.623803 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5910944Z E 00:00:03.638881 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5912348Z  time, in aE 00:00:03.664105 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5913706Z E 00:00:03.693628 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5915005Z E 00:00:03.707710 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5916355Z E 00:00:03.732071 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5917825Z  big forest, thereE 00:00:03.758691 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5919264Z E 00:00:03.769884 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5920566Z E 00:00:03.789825 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5921997Z E 00:00:03.800638 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5923399Z  lived a little tE 00:00:03.828061 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5924789Z E 00:00:03.841853 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5926097Z E 00:00:03.861819 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:43.5936918Z E 00:00:03.881799 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5599471Z iger named TimmyE 00:00:03.910284 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5601456Z E 00:00:03.923702 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5602807Z E 00:00:03.948100 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5603963Z E 00:00:03.958876 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5605181Z . Timmy lovedE 00:00:03.985867 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5606395Z E 00:00:03.999708 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5607540Z E 00:00:04.027717 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5608697Z E 00:00:04.043715 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5609916Z  to climb treesE 00:00:04.073012 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5611131Z E 00:00:04.100136 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5612269Z E 00:00:04.122770 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5613459Z E 00:00:04.154298 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5614696Z , jump from branchE 00:00:04.174071 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5615923Z E 00:00:04.191216 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5617335Z E 00:00:04.218471 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5618477Z E 00:00:04.246257 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5619744Z  to branch. HeE 00:00:04.263788 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5620956Z E 00:00:04.292696 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5622147Z E 00:00:04.322133 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5623284Z E 00:00:04.350091 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5624530Z  was very strong andE 00:00:04.361245 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5625825Z E 00:00:04.389815 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5626966Z E 00:00:04.400863 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5628092Z E 00:00:04.441829 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5628841Z  fast.
2024-05-15T23:46:44.5629510Z OneE 00:00:04.459115 executorch:method.cpp:936] Overriding output data pointer allocated by memory plan is not allowed.
2024-05-15T23:46:44.5630177Z 
2024-05-15T23:46:44.5630384Z [Max Sequence Length Reached. Ending Conversation.]
2024-05-15T23:46:44.5631022Z ---------------------------------------------------
2024-05-15T23:46:44.5631535Z Time for inference 1: 4.36 sec total, 45.90 tokens/sec
2024-05-15T23:46:44.5632024Z Bandwidth achieved: 0.00 GB/s
2024-05-15T23:46:44.5632723Z *** This first iteration will include cold start effects for dynamic import, hardware caches. ***
2024-05-15T23:46:44.5633284Z 
2024-05-15T23:46:44.5633410Z ========================================
2024-05-15T23:46:44.5633679Z 
2024-05-15T23:46:44.5633812Z Average tokens/sec: 45.90
2024-05-15T23:46:44.5634150Z Memory used: 0.00 GB
2024-05-15T23:46:44.5634484Z + echo ::endgroup::
2024-05-15T23:46:44.5635098Z ##[endgroup]
2024-05-15T23:46:44.5635558Z + echo '::group::## Model precision '
2024-05-15T23:46:44.5636238Z ##[group]## Model precision 
2024-05-15T23:46:44.5636577Z + false
2024-05-15T23:46:44.5636843Z + echo ::endgroup::
2024-05-15T23:46:44.5637347Z ##[endgroup]
2024-05-15T23:46:44.5637969Z + echo '::group::## Adding additional quantization schemes'
2024-05-15T23:46:44.5638734Z ##[group]## Adding additional quantization schemes
2024-05-15T23:46:44.5639178Z + echo ::endgroup::
2024-05-15T23:46:44.5639678Z ##[endgroup]
2024-05-15T23:46:44.5639949Z + exit 0
2024-05-15T23:46:44.5640418Z ##[endgroup]
2024-05-15T23:46:44.5640715Z + echo ::group::Completion
2024-05-15T23:46:44.5641501Z ##[group]Completion
2024-05-15T23:46:44.5641845Z + echo 'tests complete'
2024-05-15T23:46:44.5642175Z tests complete
2024-05-15T23:46:44.5642557Z + echo '*******************************************'
2024-05-15T23:46:44.5642997Z *******************************************
2024-05-15T23:46:44.5643392Z + echo ::endgroup::
2024-05-15T23:46:44.5643897Z ##[endgroup]
2024-05-15T23:46:44.5689764Z ##[group]Run pmeier/pytest-results-action@v0.3.0
2024-05-15T23:46:44.5690230Z with:
2024-05-15T23:46:44.5690622Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:44.5691132Z   fail-on-empty: false
2024-05-15T23:46:44.5691432Z env:
2024-05-15T23:46:44.5691748Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:44.5692200Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:44.5692565Z   PR_NUMBER: 804
2024-05-15T23:46:44.5694548Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:44.5696908Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:44.5697669Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:44.5698389Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:44.5699001Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:44.5699476Z ##[endgroup]
2024-05-15T23:46:44.6321025Z Prepare all required actions
2024-05-15T23:46:44.6353860Z ##[group]Run ./test-infra/.github/actions/chown-directory
2024-05-15T23:46:44.6354355Z with:
2024-05-15T23:46:44.6354878Z   directory: /home/ec2-user/actions-runner/_work/torchchat/torchchat/
2024-05-15T23:46:44.6355599Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:46:44.6356144Z env:
2024-05-15T23:46:44.6356467Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:44.6356920Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:44.6357296Z   PR_NUMBER: 804
2024-05-15T23:46:44.6359434Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:44.6361913Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:44.6362691Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:44.6363427Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:44.6364042Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:44.6364517Z ##[endgroup]
2024-05-15T23:46:44.6383427Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:46:44.6384393Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:46:44.6392344Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:46:44.6392894Z env:
2024-05-15T23:46:44.6393214Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:44.6393674Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:44.6394056Z   PR_NUMBER: 804
2024-05-15T23:46:44.6396031Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:44.6398431Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:44.6399202Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:44.6399932Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:44.6400544Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:44.6401432Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:46:44.6402168Z   DIRECTORY: /home/ec2-user/actions-runner/_work/torchchat/torchchat/
2024-05-15T23:46:44.6402767Z ##[endgroup]
2024-05-15T23:46:44.6587310Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2024-05-15T23:46:44.8593726Z latest: Pulling from tool/alpine
2024-05-15T23:46:44.8594180Z 540db60ca938: Pulling fs layer
2024-05-15T23:46:44.9469344Z 540db60ca938: Verifying Checksum
2024-05-15T23:46:44.9469763Z 540db60ca938: Download complete
2024-05-15T23:46:45.0938868Z 540db60ca938: Pull complete
2024-05-15T23:46:45.1025585Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2024-05-15T23:46:45.1064245Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2024-05-15T23:46:46.1381736Z Prepare all required actions
2024-05-15T23:46:46.1414836Z ##[group]Run ./test-infra/.github/actions/chown-directory
2024-05-15T23:46:46.1415309Z with:
2024-05-15T23:46:46.1415744Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:46:46.1416287Z env:
2024-05-15T23:46:46.1416604Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:46.1417052Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:46.1417436Z   PR_NUMBER: 804
2024-05-15T23:46:46.1419500Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:46.1421771Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:46.1422529Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:46.1423246Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:46.1423858Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:46.1424324Z ##[endgroup]
2024-05-15T23:46:46.1441823Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:46:46.1442813Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2024-05-15T23:46:46.1450914Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:46:46.1451444Z env:
2024-05-15T23:46:46.1451777Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:46.1452265Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:46.1452653Z   PR_NUMBER: 804
2024-05-15T23:46:46.1454954Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:46.1457545Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:46.1458392Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:46.1459176Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:46.1459835Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:46.1460543Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2024-05-15T23:46:46.1461143Z   DIRECTORY: 
2024-05-15T23:46:46.1461435Z ##[endgroup]
2024-05-15T23:46:46.8771901Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2024-05-15T23:46:46.8772740Z # Only do these steps if we actually want to upload an artifact
2024-05-15T23:46:46.8773393Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2024-05-15T23:46:46.8774166Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2024-05-15T23:46:46.8775049Z   # attempt to just grab whatever is in there and scoop it all up
2024-05-15T23:46:46.8775865Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2024-05-15T23:46:46.8776499Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2024-05-15T23:46:46.8776965Z   fi
2024-05-15T23:46:46.8777355Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2024-05-15T23:46:46.8778013Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2024-05-15T23:46:46.8778568Z   fi
2024-05-15T23:46:46.8779193Z   # Set to fail upload step if there are no files for upload and expected files for upload
2024-05-15T23:46:46.8780017Z   echo 'if-no-files-found=error' >> "${GITHUB_OUTPUT}"
2024-05-15T23:46:46.8780534Z fi
2024-05-15T23:46:46.8780809Z 
2024-05-15T23:46:46.8781081Z upload_docs=0
2024-05-15T23:46:46.8781651Z # Check if there are files in the documentation folder to upload, note that
2024-05-15T23:46:46.8782302Z # empty folders do not count
2024-05-15T23:46:46.8782929Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2024-05-15T23:46:46.8783855Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2024-05-15T23:46:46.8784587Z   # upload will probably not work correctly
2024-05-15T23:46:46.8785062Z   upload_docs=1
2024-05-15T23:46:46.8785391Z fi
2024-05-15T23:46:46.8785821Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2024-05-15T23:46:46.8793494Z shell: /usr/bin/bash -e {0}
2024-05-15T23:46:46.8793839Z env:
2024-05-15T23:46:46.8794161Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:46.8794613Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:46.8794988Z   PR_NUMBER: 804
2024-05-15T23:46:46.8796973Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:46.8799340Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:46.8800106Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:46.8801012Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:46.8801665Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:46.8802148Z   UPLOAD_ARTIFACT_NAME: 
2024-05-15T23:46:46.8802475Z ##[endgroup]
2024-05-15T23:46:46.8911834Z Prepare all required actions
2024-05-15T23:46:46.8966032Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2024-05-15T23:46:46.8966728Z with:
2024-05-15T23:46:46.8967085Z env:
2024-05-15T23:46:46.8967545Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:46.8968244Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:46.8968838Z   PR_NUMBER: 804
2024-05-15T23:46:46.8971977Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:46.8975416Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:46.8976662Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:46.8977771Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:46.8978693Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:46.8979420Z ##[endgroup]
2024-05-15T23:46:46.9008113Z ##[group]Run set -eou pipefail
2024-05-15T23:46:46.9008859Z set -eou pipefail
2024-05-15T23:46:46.9009363Z 
2024-05-15T23:46:46.9010108Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2024-05-15T23:46:46.9011106Z for _ in $(seq 1440); do
2024-05-15T23:46:46.9011799Z     # Break if no ssh session exists anymore
2024-05-15T23:46:46.9012517Z     if [ "$(who)" = "" ]; then
2024-05-15T23:46:46.9013103Z       break
2024-05-15T23:46:46.9013573Z     fi
2024-05-15T23:46:46.9014018Z     echo "."
2024-05-15T23:46:46.9014504Z     sleep 5
2024-05-15T23:46:46.9014985Z done
2024-05-15T23:46:46.9025087Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:46:46.9025834Z env:
2024-05-15T23:46:46.9026331Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:46.9027008Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:46.9027583Z   PR_NUMBER: 804
2024-05-15T23:46:46.9030751Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:46.9034472Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:46.9035667Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:46.9036803Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:46.9037893Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:46.9038658Z ##[endgroup]
2024-05-15T23:46:46.9064017Z Holding runner for 2 hours until all ssh sessions have logged out
2024-05-15T23:46:46.9110292Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:46:46.9111456Z # ignore expansion of "docker ps -q" since it could be empty
2024-05-15T23:46:46.9112313Z # shellcheck disable=SC2046
2024-05-15T23:46:46.9113027Z docker stop $(docker ps -q) || true
2024-05-15T23:46:46.9113742Z # Prune all of the docker images
2024-05-15T23:46:46.9114399Z docker system prune -af
2024-05-15T23:46:46.9124220Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2024-05-15T23:46:46.9124704Z env:
2024-05-15T23:46:46.9125023Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:46:46.9125482Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:46:46.9125961Z   PR_NUMBER: 804
2024-05-15T23:46:46.9128260Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:46:46.9130862Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:46:46.9131703Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:46:46.9132488Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:46:46.9133097Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:46:46.9133570Z ##[endgroup]
2024-05-15T23:46:57.2792588Z 44c2e5bafd35
2024-05-15T23:46:58.8918933Z Deleted Containers:
2024-05-15T23:46:58.8919627Z 44c2e5bafd352bda2f596248ff70160a10cff312afc0e168edb6057cd695e034
2024-05-15T23:46:58.8920069Z 
2024-05-15T23:47:01.7211140Z Deleted Images:
2024-05-15T23:47:01.7211809Z untagged: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:01.7213676Z untagged: pytorch/conda-builder@sha256:91def7add5f9900a7cd9149cc9f4eacc6da0cd662e43866d43deee758068d79c
2024-05-15T23:47:01.7215168Z deleted: sha256:9ef9c5604a4bf5495a928dfca5f431351fcf74e34e3d084c86e642f278a4ae38
2024-05-15T23:47:01.7216019Z deleted: sha256:bdebebae73c3910662f963c8a72c9c34455063a352546ad3f8518fd1e745b96d
2024-05-15T23:47:01.7216845Z deleted: sha256:a2ddd8c7d4662042b1de423aaf530486b4f2b9843da7db8ccfb62542335f0baa
2024-05-15T23:47:01.7217675Z deleted: sha256:61eaa73e8447f9f1ec812f07e74523f00ec48ab545cd237cfa0b29d2c4a109e3
2024-05-15T23:47:01.7218499Z deleted: sha256:bbe5bd63bfecd41845cfdc4420f988376a3309a27b7b76ee40ce56382822cd21
2024-05-15T23:47:01.7219323Z deleted: sha256:8d86cbc2891a4657b4769099b33833fb673cbbbd5994f0b8c160d00b4553b5fb
2024-05-15T23:47:01.7220134Z deleted: sha256:6d26cbd891f537b289be1b9c18428771c2662901489b4adf7b1348ded9c65e48
2024-05-15T23:47:01.7220948Z deleted: sha256:2a21f9e6b595844d5d0d1181cbf4817de9bd459e4a50105284e7fe95400a5d41
2024-05-15T23:47:01.7221767Z deleted: sha256:56eafac364fb5322f9a26ee491cba531f1dfa216955710559f83ad9b6e955e66
2024-05-15T23:47:01.7222569Z deleted: sha256:fc9e5223383627220966b33ffd97e55b2f353ba43858bb97b73f3c4820241f6f
2024-05-15T23:47:01.7223451Z deleted: sha256:ca06276fd95df785973eb18483fdb5ce09635a6042a7c9cdb708ae5111098865
2024-05-15T23:47:01.7224250Z deleted: sha256:103a68e1d1fdd2701923ea9e7a257428dc618760387f5a253fb156e7532455f2
2024-05-15T23:47:01.7225040Z deleted: sha256:a8748c54b71c4c82c0792b11f0768765fff866fb3903ca27f49a55d9987fbf2c
2024-05-15T23:47:01.7225838Z deleted: sha256:e69090a06dad967609f860706fc0af346a63d712196dd8e765b0097f0bca1667
2024-05-15T23:47:01.7226632Z deleted: sha256:069a0d00a4626d86959e7b8b60320f95e5ace51e15bdf78d044da4f2bc59c839
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2024-05-15T23:47:01.7234095Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2024-05-15T23:47:01.7235484Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
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2024-05-15T23:47:01.7238087Z 
2024-05-15T23:47:01.7238239Z Total reclaimed space: 22.24GB
2024-05-15T23:47:01.7272674Z ##[group]Run set +e
2024-05-15T23:47:01.7273018Z set +e
2024-05-15T23:47:01.7273377Z if [[ "${NO_SUDO}" == "false" ]]; then
2024-05-15T23:47:01.7273945Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2024-05-15T23:47:01.7274456Z else
2024-05-15T23:47:01.7274855Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2024-05-15T23:47:01.7275325Z fi
2024-05-15T23:47:01.7275603Z set -e
2024-05-15T23:47:01.7283484Z shell: /usr/bin/bash -e {0}
2024-05-15T23:47:01.7283832Z env:
2024-05-15T23:47:01.7284150Z   DOCKER_IMAGE: pytorch/conda-builder:cuda12.1
2024-05-15T23:47:01.7284595Z   REPOSITORY: pytorch/torchchat
2024-05-15T23:47:01.7284972Z   PR_NUMBER: 804
2024-05-15T23:47:01.7287004Z   SCRIPT: echo "::group::Print machine info"
uname -a
echo "::endgroup::"

echo "::group::Install newer objcopy that supports --set-section-alignment"
yum install -y  devtoolset-10-binutils
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
echo "::endgroup::"

.ci/scripts/run-docs quantization

echo "::group::Completion"
echo "tests complete"
echo "*******************************************"
echo "::endgroup::"

2024-05-15T23:47:01.7289319Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2024-05-15T23:47:01.7290078Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2024-05-15T23:47:01.7290799Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2024-05-15T23:47:01.7291409Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2024-05-15T23:47:01.7291875Z   NO_SUDO: false
2024-05-15T23:47:01.7292177Z ##[endgroup]
2024-05-15T23:47:02.6167006Z Post job cleanup.
2024-05-15T23:47:02.7027629Z Post job cleanup.
2024-05-15T23:47:02.7832725Z [command]/usr/bin/git version
2024-05-15T23:47:02.7865422Z git version 2.40.1
2024-05-15T23:47:02.7895033Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/fe7b1928-02fe-43a6-a044-95defd516fba/.gitconfig'
2024-05-15T23:47:02.7905396Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/fe7b1928-02fe-43a6-a044-95defd516fba' before making global git config changes
2024-05-15T23:47:02.7906617Z Adding repository directory to the temporary git global config as a safe directory
2024-05-15T23:47:02.7909983Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/torchchat/torchchat/test-infra
2024-05-15T23:47:02.7942662Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2024-05-15T23:47:02.7964741Z [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' || :"
2024-05-15T23:47:02.8160130Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2024-05-15T23:47:02.8176399Z http.https://github.com/.extraheader
2024-05-15T23:47:02.8184671Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2024-05-15T23:47:02.8206093Z [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' || :"
2024-05-15T23:47:02.8592547Z Cleaning up orphan processes