2025-09-09T14:02:53.3675960Z Current runner version: '2.328.0'
2025-09-09T14:02:53.3681318Z Runner name: 'i-0f9c76a3b4eaa18db'
2025-09-09T14:02:53.3682049Z Runner group name: 'default'
2025-09-09T14:02:53.3683021Z Machine name: 'ip-10-0-39-128'
2025-09-09T14:02:53.3685422Z ##[group]GITHUB_TOKEN Permissions
2025-09-09T14:02:53.3687389Z Contents: read
2025-09-09T14:02:53.3687987Z Metadata: read
2025-09-09T14:02:53.3688571Z ##[endgroup]
2025-09-09T14:02:53.3690419Z Secret source: Actions
2025-09-09T14:02:53.3691265Z Prepare workflow directory
2025-09-09T14:02:53.4210164Z Prepare all required actions
2025-09-09T14:02:53.4243056Z Getting action download info
2025-09-09T14:02:53.7258990Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683)
2025-09-09T14:02:54.0806252Z Download action repository 'pytorch/pytorch@main' (SHA:4dd73e659a8fd4872e5f49cfd72e420fa7c4e6c9)
2025-09-09T14:03:10.1638379Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-09-09T14:03:10.5228872Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1)
2025-09-09T14:03:10.6665769Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-09-09T14:03:11.1595404Z Getting action download info
2025-09-09T14:03:11.3229392Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (e502b6d9079a2a411c68046e8a7694b851c5df33)
2025-09-09T14:03:11.3233266Z ##[group] Inputs
2025-09-09T14:03:11.3234885Z   script: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:11.3236912Z   timeout: 60
2025-09-09T14:03:11.3237155Z   runner: linux.g6.4xlarge.experimental.nvidia.gpu
2025-09-09T14:03:11.3237423Z   upload-artifact: 
2025-09-09T14:03:11.3237905Z   upload-artifact-to-s3: false
2025-09-09T14:03:11.3238161Z   download-artifact: 
2025-09-09T14:03:11.3238338Z   repository: 
2025-09-09T14:03:11.3238523Z   fetch-depth: 1
2025-09-09T14:03:11.3238698Z   submodules: recursive
2025-09-09T14:03:11.3238875Z   ref: 
2025-09-09T14:03:11.3239050Z   test-infra-repository: pytorch/test-infra
2025-09-09T14:03:11.3239291Z   test-infra-ref: 
2025-09-09T14:03:11.3239476Z   use-custom-docker-registry: true
2025-09-09T14:03:11.3239725Z   docker-image: pytorch/almalinux-builder
2025-09-09T14:03:11.3239971Z   docker-build-dir: .ci/docker
2025-09-09T14:03:11.3240181Z   gpu-arch-type: cuda
2025-09-09T14:03:11.3240371Z   gpu-arch-version: 12.6
2025-09-09T14:03:11.3240560Z   job-name: linux-job
2025-09-09T14:03:11.3240740Z   continue-on-error: false
2025-09-09T14:03:11.3240929Z   binary-matrix: 
2025-09-09T14:03:11.3241101Z   run-with-docker: true
2025-09-09T14:03:11.3241270Z   secrets-env: 
2025-09-09T14:03:11.3241444Z   no-sudo: false
2025-09-09T14:03:11.3241633Z ##[endgroup]
2025-09-09T14:03:11.3242081Z Complete job name: test (SM-89, linux.g6.4xlarge.experimental.nvidia.gpu, --pre torch --index-url https://download.p... / linux-job
2025-09-09T14:03:11.3790799Z A job started hook has been configured by the self-hosted runner administrator
2025-09-09T14:03:11.3895899Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-09-09T14:03:11.3905682Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:11.3906331Z ##[endgroup]
2025-09-09T14:03:12.6685719Z Runner Type: linux.g6.4xlarge.experimental.nvidia.gpu
2025-09-09T14:03:12.6686278Z Instance Type: g6.4xlarge
2025-09-09T14:03:12.6687002Z AMI Name: unknown
2025-09-09T14:03:12.6724343Z AMI ID: ami-05ffe3c48a9991133
2025-09-09T14:03:17.4778338Z ##[group]Run set -euxo pipefail
2025-09-09T14:03:17.4778677Z set -euxo pipefail
2025-09-09T14:03:17.4778927Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-09-09T14:03:17.4779213Z   echo "::group::Cleanup with-sudo debug output"
2025-09-09T14:03:17.4779492Z   sudo rm -rfv "${GITHUB_WORKSPACE}"
2025-09-09T14:03:17.4779729Z else
2025-09-09T14:03:17.4779933Z   echo "::group::Cleanup no-sudo debug output"
2025-09-09T14:03:17.4780207Z   rm -rfv "${GITHUB_WORKSPACE}"
2025-09-09T14:03:17.4780436Z fi
2025-09-09T14:03:17.4780594Z 
2025-09-09T14:03:17.4780766Z mkdir -p "${GITHUB_WORKSPACE}"
2025-09-09T14:03:17.4781007Z echo "::endgroup::"
2025-09-09T14:03:17.4792694Z shell: /usr/bin/bash -e {0}
2025-09-09T14:03:17.4792913Z env:
2025-09-09T14:03:17.4793120Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:17.4793401Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:17.4793623Z   PR_NUMBER: 2963
2025-09-09T14:03:17.4795157Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:17.4796731Z   NO_SUDO: false
2025-09-09T14:03:17.4796898Z ##[endgroup]
2025-09-09T14:03:17.4828169Z + [[ false == \f\a\l\s\e ]]
2025-09-09T14:03:17.4839907Z ##[group]Cleanup with-sudo debug output
2025-09-09T14:03:17.4842894Z + echo '::group::Cleanup with-sudo debug output'
2025-09-09T14:03:17.4843252Z + sudo rm -rfv /home/ec2-user/actions-runner/_work/ao/ao
2025-09-09T14:03:17.5928133Z removed directory '/home/ec2-user/actions-runner/_work/ao/ao'
2025-09-09T14:03:17.5944996Z + mkdir -p /home/ec2-user/actions-runner/_work/ao/ao
2025-09-09T14:03:17.5959839Z + echo ::endgroup::
2025-09-09T14:03:17.5960486Z ##[endgroup]
2025-09-09T14:03:17.6072045Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-09-09T14:03:17.6072405Z with:
2025-09-09T14:03:17.6072588Z   repository: pytorch/test-infra
2025-09-09T14:03:17.6072805Z   path: test-infra
2025-09-09T14:03:17.6072983Z   submodules: recursive
2025-09-09T14:03:17.6073304Z   token: ***
2025-09-09T14:03:17.6073469Z   ssh-strict: true
2025-09-09T14:03:17.6073632Z   ssh-user: git
2025-09-09T14:03:17.6073807Z   persist-credentials: true
2025-09-09T14:03:17.6073991Z   clean: true
2025-09-09T14:03:17.6074163Z   sparse-checkout-cone-mode: true
2025-09-09T14:03:17.6074363Z   fetch-depth: 1
2025-09-09T14:03:17.6074529Z   fetch-tags: false
2025-09-09T14:03:17.6074713Z   show-progress: true
2025-09-09T14:03:17.6074876Z   lfs: false
2025-09-09T14:03:17.6075038Z   set-safe-directory: true
2025-09-09T14:03:17.6075214Z env:
2025-09-09T14:03:17.6075405Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:17.6075658Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:17.6075875Z   PR_NUMBER: 2963
2025-09-09T14:03:17.6077405Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:17.6078969Z ##[endgroup]
2025-09-09T14:03:17.7396401Z Syncing repository: pytorch/test-infra
2025-09-09T14:03:17.7397307Z ##[group]Getting Git version info
2025-09-09T14:03:17.7397672Z Working directory is '/home/ec2-user/actions-runner/_work/ao/ao/test-infra'
2025-09-09T14:03:17.7398148Z [command]/usr/bin/git version
2025-09-09T14:03:17.7398350Z git version 2.47.1
2025-09-09T14:03:17.7414634Z ##[endgroup]
2025-09-09T14:03:17.7435246Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/72e0fb3e-5698-4664-8586-178ee56d5549' before making global git config changes
2025-09-09T14:03:17.7436158Z Adding repository directory to the temporary git global config as a safe directory
2025-09-09T14:03:17.7439922Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/ao/ao/test-infra
2025-09-09T14:03:17.7683110Z ##[group]Initializing the repository
2025-09-09T14:03:17.7687845Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/ao/ao/test-infra
2025-09-09T14:03:17.7757492Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-09-09T14:03:17.7758763Z hint: is subject to change. To configure the initial branch name to use in all
2025-09-09T14:03:17.7759756Z hint: of your new repositories, which will suppress this warning, call:
2025-09-09T14:03:17.7760443Z hint:
2025-09-09T14:03:17.7761036Z hint: 	git config --global init.defaultBranch <name>
2025-09-09T14:03:17.7761631Z hint:
2025-09-09T14:03:17.7762222Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-09-09T14:03:17.7763394Z hint: 'development'. The just-created branch can be renamed via this command:
2025-09-09T14:03:17.7764262Z hint:
2025-09-09T14:03:17.7764440Z hint: 	git branch -m <name>
2025-09-09T14:03:17.7777413Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/ao/ao/test-infra/.git/
2025-09-09T14:03:17.7787300Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra
2025-09-09T14:03:17.7837762Z ##[endgroup]
2025-09-09T14:03:17.7838186Z ##[group]Disabling automatic garbage collection
2025-09-09T14:03:17.7838589Z [command]/usr/bin/git config --local gc.auto 0
2025-09-09T14:03:17.7865444Z ##[endgroup]
2025-09-09T14:03:17.7865821Z ##[group]Setting up auth
2025-09-09T14:03:17.7870976Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-09-09T14:03:17.7900004Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-09-09T14:03:17.8266504Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-09-09T14:03:17.8293188Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-09-09T14:03:17.8647255Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-09-09T14:03:17.8691858Z ##[endgroup]
2025-09-09T14:03:17.8692255Z ##[group]Determining the default branch
2025-09-09T14:03:17.8694688Z Retrieving the default branch name
2025-09-09T14:03:18.1462889Z Default branch 'main'
2025-09-09T14:03:18.1463734Z ##[endgroup]
2025-09-09T14:03:18.1464138Z ##[group]Fetching the repository
2025-09-09T14:03:18.1468538Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/heads/main:refs/remotes/origin/main
2025-09-09T14:03:18.5069798Z From https://github.com/pytorch/test-infra
2025-09-09T14:03:18.5070395Z  * [new branch]      main       -> origin/main
2025-09-09T14:03:18.5097059Z ##[endgroup]
2025-09-09T14:03:18.5097444Z ##[group]Determining the checkout info
2025-09-09T14:03:18.5098348Z ##[endgroup]
2025-09-09T14:03:18.5102319Z [command]/usr/bin/git sparse-checkout disable
2025-09-09T14:03:18.5149736Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-09-09T14:03:18.5178286Z ##[group]Checking out the ref
2025-09-09T14:03:18.5181883Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main
2025-09-09T14:03:18.6612961Z Switched to a new branch 'main'
2025-09-09T14:03:18.6615626Z branch 'main' set up to track 'origin/main'.
2025-09-09T14:03:18.6625282Z ##[endgroup]
2025-09-09T14:03:18.6625682Z ##[group]Setting up auth for fetching submodules
2025-09-09T14:03:18.6630572Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-09-09T14:03:18.6673977Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-09-09T14:03:18.6712459Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-09-09T14:03:18.6743023Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-09-09T14:03:18.6770078Z ##[endgroup]
2025-09-09T14:03:18.6770464Z ##[group]Fetching submodules
2025-09-09T14:03:18.6773965Z [command]/usr/bin/git submodule sync --recursive
2025-09-09T14:03:18.7115752Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-09-09T14:03:18.7456773Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-09-09T14:03:18.7783696Z ##[endgroup]
2025-09-09T14:03:18.7784128Z ##[group]Persisting credentials for submodules
2025-09-09T14:03:18.7788485Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-09-09T14:03:18.8116247Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-09-09T14:03:18.8453765Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-09-09T14:03:18.8785244Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-09-09T14:03:18.9112153Z ##[endgroup]
2025-09-09T14:03:18.9146372Z [command]/usr/bin/git log -1 --format=%H
2025-09-09T14:03:18.9171349Z e502b6d9079a2a411c68046e8a7694b851c5df33
2025-09-09T14:03:18.9354955Z Prepare all required actions
2025-09-09T14:03:18.9355382Z Getting action download info
2025-09-09T14:03:19.0613535Z Download action repository 'pytorch/test-infra@main' (SHA:e502b6d9079a2a411c68046e8a7694b851c5df33)
2025-09-09T14:03:21.2040385Z Getting action download info
2025-09-09T14:03:21.3417511Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-09-09T14:03:21.5347810Z ##[group]Run ./test-infra/.github/actions/setup-linux
2025-09-09T14:03:21.5348080Z env:
2025-09-09T14:03:21.5348277Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:21.5348547Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:21.5348722Z   PR_NUMBER: 2963
2025-09-09T14:03:21.5350253Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:21.5351758Z ##[endgroup]
2025-09-09T14:03:21.5430934Z ##[group]Run set -euo pipefail
2025-09-09T14:03:21.5431171Z set -euo pipefail
2025-09-09T14:03:21.5431377Z function get_ec2_metadata() {
2025-09-09T14:03:21.5431640Z   # Pulled from instance metadata endpoint for EC2
2025-09-09T14:03:21.5432084Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-09-09T14:03:21.5432670Z   category=$1
2025-09-09T14:03:21.5433305Z   curl -H "X-aws-ec2-metadata-token: $(curl -s -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 30")" -fsSL "http://169.254.169.254/latest/meta-data/${category}"
2025-09-09T14:03:21.5433948Z }
2025-09-09T14:03:21.5434129Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-09-09T14:03:21.5434424Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-09-09T14:03:21.5434750Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-09-09T14:03:21.5435040Z echo "system info $(uname -a)"
2025-09-09T14:03:21.5442108Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:21.5442382Z env:
2025-09-09T14:03:21.5442675Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:21.5442932Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:21.5443113Z   PR_NUMBER: 2963
2025-09-09T14:03:21.5444635Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:21.5446162Z ##[endgroup]
2025-09-09T14:03:21.5638412Z ami-id: ami-05ffe3c48a9991133
2025-09-09T14:03:21.5740898Z instance-id: i-0f9c76a3b4eaa18db
2025-09-09T14:03:21.5839616Z instance-type: g6.4xlarge
2025-09-09T14:03:21.5853172Z system info Linux ip-10-0-39-128.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-09-09T14:03:21.5894549Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-09-09T14:03:21.5895206Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-09-09T14:03:21.5902843Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:21.5903139Z env:
2025-09-09T14:03:21.5903340Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:21.5903597Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:21.5903777Z   PR_NUMBER: 2963
2025-09-09T14:03:21.5905294Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:21.5906861Z ##[endgroup]
2025-09-09T14:03:21.5981735Z ##[group]Run if systemctl is-active --quiet docker; then
2025-09-09T14:03:21.5982059Z if systemctl is-active --quiet docker; then
2025-09-09T14:03:21.5982322Z     echo "Docker daemon is running...";
2025-09-09T14:03:21.5982549Z else
2025-09-09T14:03:21.5982788Z     echo "Starting docker deamon..." && sudo systemctl start docker;
2025-09-09T14:03:21.5983086Z fi
2025-09-09T14:03:21.5989373Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:21.5989647Z env:
2025-09-09T14:03:21.5989849Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:21.5990098Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:21.5990279Z   PR_NUMBER: 2963
2025-09-09T14:03:21.5991782Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:21.5993498Z ##[endgroup]
2025-09-09T14:03:21.6079050Z Docker daemon is running...
2025-09-09T14:03:21.6108691Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-09-09T14:03:21.6109167Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\")
2025-09-09T14:03:21.6109536Z retry () { "$@"  || (sleep 1 && "$@") || (sleep 2 && "$@") }
2025-09-09T14:03:21.6109964Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \
2025-09-09T14:03:21.6110481Z     --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com"
2025-09-09T14:03:21.6117198Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:21.6117483Z env:
2025-09-09T14:03:21.6117670Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:21.6117930Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:21.6118110Z   PR_NUMBER: 2963
2025-09-09T14:03:21.6119610Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:21.6121164Z   AWS_RETRY_MODE: standard
2025-09-09T14:03:21.6121362Z   AWS_MAX_ATTEMPTS: 5
2025-09-09T14:03:21.6121544Z   AWS_DEFAULT_REGION: us-east-1
2025-09-09T14:03:21.6121729Z ##[endgroup]
2025-09-09T14:03:22.5324284Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-09-09T14:03:22.5326112Z Configure a credential helper to remove this warning. See
2025-09-09T14:03:22.5327370Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-09-09T14:03:22.5328406Z 
2025-09-09T14:03:22.5328576Z Login Succeeded
2025-09-09T14:03:22.5383830Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-09-09T14:03:22.5384246Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-09-09T14:03:22.5384617Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}"
2025-09-09T14:03:22.5392819Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:22.5393091Z env:
2025-09-09T14:03:22.5393309Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:22.5393564Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:22.5393761Z   PR_NUMBER: 2963
2025-09-09T14:03:22.5395292Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:22.5396830Z ##[endgroup]
2025-09-09T14:03:22.5618716Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-09-09T14:03:22.5619059Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts"
2025-09-09T14:03:22.5619338Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}"
2025-09-09T14:03:22.5619850Z mkdir -p "${RUNNER_ARTIFACT_DIR}"
2025-09-09T14:03:22.5620166Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}"
2025-09-09T14:03:22.5620470Z 
2025-09-09T14:03:22.5620693Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results"
2025-09-09T14:03:22.5621005Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}"
2025-09-09T14:03:22.5621267Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}"
2025-09-09T14:03:22.5621602Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}"
2025-09-09T14:03:22.5621911Z 
2025-09-09T14:03:22.5622084Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs"
2025-09-09T14:03:22.5622321Z sudo rm -rf "${RUNNER_DOCS_DIR}"
2025-09-09T14:03:22.5622553Z mkdir -p "${RUNNER_DOCS_DIR}"
2025-09-09T14:03:22.5622829Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}"
2025-09-09T14:03:22.5629453Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:22.5629722Z env:
2025-09-09T14:03:22.5629913Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:22.5630164Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:22.5630341Z   PR_NUMBER: 2963
2025-09-09T14:03:22.5631870Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:22.5633388Z ##[endgroup]
2025-09-09T14:03:23.1203736Z ##[group]Run needs=0
2025-09-09T14:03:23.1203941Z needs=0
2025-09-09T14:03:23.1204206Z if lspci -v | grep -e 'controller.*NVIDIA' >/dev/null 2>/dev/null; then
2025-09-09T14:03:23.1204529Z   needs=1
2025-09-09T14:03:23.1204681Z fi
2025-09-09T14:03:23.1204874Z echo "does=${needs}" >> $GITHUB_OUTPUT
2025-09-09T14:03:23.1212286Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:03:23.1212568Z env:
2025-09-09T14:03:23.1212931Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:23.1213210Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:23.1213405Z   PR_NUMBER: 2963
2025-09-09T14:03:23.1214943Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:23.1216587Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:03:23.1217005Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:03:23.1217384Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:03:23.1217709Z ##[endgroup]
2025-09-09T14:03:23.1752363Z ##[group]Run pytorch/test-infra/.github/actions/setup-nvidia@main
2025-09-09T14:03:23.1752658Z with:
2025-09-09T14:03:23.1752814Z   driver-version: 580.65.06
2025-09-09T14:03:23.1753009Z env:
2025-09-09T14:03:23.1753204Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:23.1753455Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:23.1753642Z   PR_NUMBER: 2963
2025-09-09T14:03:23.1755176Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:23.1756998Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:03:23.1757402Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:03:23.1757790Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:03:23.1758049Z ##[endgroup]
2025-09-09T14:03:23.1807190Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-09-09T14:03:23.1807474Z with:
2025-09-09T14:03:23.1807627Z   timeout_minutes: 10
2025-09-09T14:03:23.1807797Z   max_attempts: 3
2025-09-09T14:03:23.1827329Z   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"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y \
          nvidia-container-toolkit-1.17.8 \
          libnvidia-container-tools-1.17.8 \
          libnvidia-container1-1.17.8 \
          nvidia-container-toolkit-base-1.17.8
        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-container-toolkit-1.17.8
          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"

                # Turn off persistent mode so that the installation script can unload the kernel module
                sudo killall nvidia-persistenced || true
            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}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

# check if the container-toolkit is correctly installed and CUDA is available inside a container
docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi

2025-09-09T14:03:23.1846694Z   retry_wait_seconds: 10
2025-09-09T14:03:23.1846885Z   polling_interval_seconds: 1
2025-09-09T14:03:23.1847086Z   warning_on_retry: true
2025-09-09T14:03:23.1847267Z   continue_on_error: false
2025-09-09T14:03:23.1847446Z env:
2025-09-09T14:03:23.1847631Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:03:23.1847888Z   REPOSITORY: pytorch/ao
2025-09-09T14:03:23.1848066Z   PR_NUMBER: 2963
2025-09-09T14:03:23.1849574Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:03:23.1851204Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:03:23.1851630Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:03:23.1852095Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:03:23.1852373Z   DRIVER_VERSION: 580.65.06
2025-09-09T14:03:23.1852554Z ##[endgroup]
2025-09-09T14:03:23.2633888Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.65.06.run ==
2025-09-09T14:03:23.2635647Z + pre_install_nvidia_driver_amzn2
2025-09-09T14:03:23.2636481Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-09-09T14:03:23.5888280Z No match for argument: nvidia-driver-latest-dkms
2025-09-09T14:03:23.5888904Z No packages marked for removal.
2025-09-09T14:03:23.5943487Z Dependencies resolved.
2025-09-09T14:03:23.5953316Z Nothing to do.
2025-09-09T14:03:23.5954440Z Complete!
2025-09-09T14:03:23.6291199Z + install_nvidia_driver_common
2025-09-09T14:03:23.6294764Z + echo 'Before installing NVIDIA driver'
2025-09-09T14:03:23.6298901Z Before installing NVIDIA driver
2025-09-09T14:03:23.6301201Z + lspci
2025-09-09T14:03:23.6468754Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-09-09T14:03:23.6469319Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-09-09T14:03:23.6469867Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-09-09T14:03:23.6470344Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-09-09T14:03:23.6470938Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-09-09T14:03:23.6471718Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6472095Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6472399Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6472720Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6473023Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6473335Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6473647Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6473933Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6474247Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6474561Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6474870Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6475160Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6476578Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6476945Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6477247Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6477543Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6477830Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6478127Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6478366Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6478606Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6478844Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6479100Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6479341Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6479570Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6479807Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6480042Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6480276Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6480505Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6480742Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6480979Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6481213Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6481448Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6481675Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6481907Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6482266Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6482501Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6482830Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6483065Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6483306Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6483538Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6483771Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6483999Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6484235Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6484479Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6484716Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6485020Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-09-09T14:03:23.6485344Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6485591Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6485823Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6486145Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-09-09T14:03:23.6486470Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:03:23.6486751Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-09-09T14:03:23.6487006Z + lsmod
2025-09-09T14:03:23.6515705Z Module                  Size  Used by
2025-09-09T14:03:23.6516016Z xt_conntrack           16384  1
2025-09-09T14:03:23.6516253Z nft_chain_nat          16384  3
2025-09-09T14:03:23.6516510Z xt_MASQUERADE          20480  1
2025-09-09T14:03:23.6516853Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-09-09T14:03:23.6517403Z nf_conntrack_netlink    57344  0
2025-09-09T14:03:23.6517990Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-09-09T14:03:23.6518373Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-09-09T14:03:23.6518604Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-09-09T14:03:23.6518814Z xfrm_user              57344  1
2025-09-09T14:03:23.6519008Z xfrm_algo              16384  1 xfrm_user
2025-09-09T14:03:23.6519215Z xt_addrtype            16384  2
2025-09-09T14:03:23.6519518Z nft_compat             20480  4
2025-09-09T14:03:23.6519741Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-09-09T14:03:23.6520042Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-09-09T14:03:23.6520320Z br_netfilter           36864  0
2025-09-09T14:03:23.6520512Z bridge                323584  1 br_netfilter
2025-09-09T14:03:23.6520723Z stp                    16384  1 bridge
2025-09-09T14:03:23.6520920Z llc                    16384  2 bridge,stp
2025-09-09T14:03:23.6521125Z overlay               167936  0
2025-09-09T14:03:23.6521299Z tls                   139264  0
2025-09-09T14:03:23.6521464Z nls_ascii              16384  1
2025-09-09T14:03:23.6521642Z nls_cp437              20480  1
2025-09-09T14:03:23.6521808Z vfat                   24576  1
2025-09-09T14:03:23.6521982Z fat                    86016  1 vfat
2025-09-09T14:03:23.6522170Z sunrpc                700416  1
2025-09-09T14:03:23.6522357Z ena                   180224  0
2025-09-09T14:03:23.6522525Z i8042                  45056  0
2025-09-09T14:03:23.6522834Z serio                  28672  3 i8042
2025-09-09T14:03:23.6523020Z button                 24576  0
2025-09-09T14:03:23.6523195Z ghash_clmulni_intel    16384  0
2025-09-09T14:03:23.6523382Z sch_fq_codel           20480  9
2025-09-09T14:03:23.6523548Z dm_mod                188416  0
2025-09-09T14:03:23.6523717Z fuse                  184320  1
2025-09-09T14:03:23.6523882Z loop                   36864  0
2025-09-09T14:03:23.6524056Z configfs               57344  1
2025-09-09T14:03:23.6524220Z dmi_sysfs              20480  0
2025-09-09T14:03:23.6524392Z crc32_pclmul           16384  0
2025-09-09T14:03:23.6524559Z crc32c_intel           24576  0
2025-09-09T14:03:23.6524822Z efivarfs               24576  1
2025-09-09T14:03:23.6524995Z + modinfo nvidia
2025-09-09T14:03:23.6535731Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-09-09T14:03:23.6536254Z import_ns:      DMA_BUF
2025-09-09T14:03:23.6536668Z alias:          char-major-195-*
2025-09-09T14:03:23.6537110Z version:        570.133.07
2025-09-09T14:03:23.6537502Z supported:      external
2025-09-09T14:03:23.6537903Z license:        Dual MIT/GPL
2025-09-09T14:03:23.6538346Z firmware:       nvidia/570.133.07/gsp_tu10x.bin
2025-09-09T14:03:23.6538729Z firmware:       nvidia/570.133.07/gsp_ga10x.bin
2025-09-09T14:03:23.6538970Z srcversion:     49515739FD8F721A3F2F714
2025-09-09T14:03:23.6539210Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-09-09T14:03:23.6539464Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-09-09T14:03:23.6539692Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-09-09T14:03:23.6539987Z depends:        i2c-core,drm
2025-09-09T14:03:23.6540315Z retpoline:      Y
2025-09-09T14:03:23.6540602Z name:           nvidia
2025-09-09T14:03:23.6541068Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-09-09T14:03:23.6541456Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-09-09T14:03:23.6541797Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-09-09T14:03:23.6542102Z parm:           NVreg_ResmanDebugLevel:int
2025-09-09T14:03:23.6542329Z parm:           NVreg_RmLogonRC:int
2025-09-09T14:03:23.6542542Z parm:           NVreg_ModifyDeviceFiles:int
2025-09-09T14:03:23.6542773Z parm:           NVreg_DeviceFileUID:int
2025-09-09T14:03:23.6543095Z parm:           NVreg_DeviceFileGID:int
2025-09-09T14:03:23.6543514Z parm:           NVreg_DeviceFileMode:int
2025-09-09T14:03:23.6544000Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-09-09T14:03:23.6544522Z parm:           NVreg_UsePageAttributeTable:int
2025-09-09T14:03:23.6544899Z parm:           NVreg_EnablePCIeGen3:int
2025-09-09T14:03:23.6545119Z parm:           NVreg_EnableMSI:int
2025-09-09T14:03:23.6545356Z parm:           NVreg_EnableStreamMemOPs:int
2025-09-09T14:03:23.6545618Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-09-09T14:03:23.6546130Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-09-09T14:03:23.6546418Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-09-09T14:03:23.6546919Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-09-09T14:03:23.6547490Z parm:           NVreg_DynamicPowerManagement:int
2025-09-09T14:03:23.6547856Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-09-09T14:03:23.6548157Z parm:           NVreg_EnableGpuFirmware:int
2025-09-09T14:03:23.6548397Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-09-09T14:03:23.6548668Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-09-09T14:03:23.6548933Z parm:           NVreg_EnableUserNUMAManagement:int
2025-09-09T14:03:23.6549188Z parm:           NVreg_MemoryPoolSize:int
2025-09-09T14:03:23.6549413Z parm:           NVreg_KMallocHeapMaxSize:int
2025-09-09T14:03:23.6549650Z parm:           NVreg_VMallocHeapMaxSize:int
2025-09-09T14:03:23.6549878Z parm:           NVreg_IgnoreMMIOCheck:int
2025-09-09T14:03:23.6550105Z parm:           NVreg_NvLinkDisable:int
2025-09-09T14:03:23.6550353Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-09-09T14:03:23.6550607Z parm:           NVreg_RegisterPCIDriver:int
2025-09-09T14:03:23.6550840Z parm:           NVreg_EnableResizableBar:int
2025-09-09T14:03:23.6551069Z parm:           NVreg_EnableDbgBreakpoint:int
2025-09-09T14:03:23.6551314Z parm:           NVreg_EnableNonblockingOpen:int
2025-09-09T14:03:23.6551552Z parm:           NVreg_RegistryDwords:charp
2025-09-09T14:03:23.6551797Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-09-09T14:03:23.6552039Z parm:           NVreg_RmMsg:charp
2025-09-09T14:03:23.6552244Z parm:           NVreg_GpuBlacklist:charp
2025-09-09T14:03:23.6552596Z parm:           NVreg_TemporaryFilePath:charp
2025-09-09T14:03:23.6552823Z parm:           NVreg_ExcludedGpus:charp
2025-09-09T14:03:23.6553064Z parm:           NVreg_DmaRemapPeerMmio:int
2025-09-09T14:03:23.6553299Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-09-09T14:03:23.6553562Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-09-09T14:03:23.6553809Z parm:           NVreg_ImexChannelCount:int
2025-09-09T14:03:23.6554037Z parm:           NVreg_CreateImexChannel0:int
2025-09-09T14:03:23.6554282Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-09-09T14:03:23.6554519Z parm:           rm_firmware_active:charp
2025-09-09T14:03:23.6554735Z + HAS_NVIDIA_DRIVER=0
2025-09-09T14:03:23.6554906Z ++ command -v nvidia-smi
2025-09-09T14:03:23.6555090Z + '[' -x /usr/bin/nvidia-smi ']'
2025-09-09T14:03:23.6555271Z + set +e
2025-09-09T14:03:23.6555502Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-09-09T14:03:25.2440137Z + INSTALLED_DRIVER_VERSION=570.133.07
2025-09-09T14:03:25.2440487Z + NVIDIA_SMI_STATUS=0
2025-09-09T14:03:25.2441422Z + '[' 0 -ne 0 ']'
2025-09-09T14:03:25.2441710Z + '[' 570.133.07 '!=' 580.65.06 ']'
2025-09-09T14:03:25.2442261Z + echo 'NVIDIA driver (570.133.07) has been installed, but we expect to have 580.65.06 instead. Continuing'
2025-09-09T14:03:25.2442934Z + sudo killall nvidia-persistenced
2025-09-09T14:03:25.2443404Z NVIDIA driver (570.133.07) has been installed, but we expect to have 580.65.06 instead. Continuing
2025-09-09T14:03:25.4119141Z nvidia-persistenced: no process found
2025-09-09T14:03:25.4137866Z + true
2025-09-09T14:03:25.4138098Z + set -e
2025-09-09T14:03:25.4138249Z + '[' 0 -eq 0 ']'
2025-09-09T14:03:25.4138436Z + '[' amzn2023 '!=' ubuntu20.04 ']'
2025-09-09T14:03:25.4138687Z + sudo yum groupinstall -y 'Development Tools'
2025-09-09T14:03:25.8720255Z Last metadata expiration check: 0:07:55 ago on Tue Sep  9 13:55:30 2025.
2025-09-09T14:03:25.8997878Z No match for group package "system-rpm-config"
2025-09-09T14:03:25.9009216Z No match for group package "rcs"
2025-09-09T14:03:25.9023135Z No match for group package "pkgconfig"
2025-09-09T14:03:25.9352832Z Dependencies resolved.
2025-09-09T14:03:25.9527954Z ================================================================================
2025-09-09T14:03:25.9529440Z  Package           Architecture     Version             Repository         Size
2025-09-09T14:03:25.9529849Z ================================================================================
2025-09-09T14:03:25.9530138Z Installing Groups:
2025-09-09T14:03:25.9530418Z  Development Tools                                                             
2025-09-09T14:03:25.9530697Z 
2025-09-09T14:03:25.9530780Z Transaction Summary
2025-09-09T14:03:25.9530997Z ================================================================================
2025-09-09T14:03:25.9531196Z 
2025-09-09T14:03:26.1437699Z ================================================================================
2025-09-09T14:03:26.1438102Z WARNING:
2025-09-09T14:03:26.1438462Z   A newer release of "Amazon Linux" is available.
2025-09-09T14:03:26.1438685Z 
2025-09-09T14:03:26.1438772Z   Available Versions:
2025-09-09T14:03:26.1438918Z 
2025-09-09T14:03:26.1438998Z   Version 2023.8.20250707:
2025-09-09T14:03:26.1439304Z     Run the following command to upgrade to 2023.8.20250707:
2025-09-09T14:03:26.1439541Z 
2025-09-09T14:03:26.1439665Z       dnf upgrade --releasever=2023.8.20250707
2025-09-09T14:03:26.1439861Z 
2025-09-09T14:03:26.1439943Z     Release notes:
2025-09-09T14:03:26.1440336Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250707.html
2025-09-09T14:03:26.1440700Z 
2025-09-09T14:03:26.1440779Z   Version 2023.8.20250715:
2025-09-09T14:03:26.1441049Z     Run the following command to upgrade to 2023.8.20250715:
2025-09-09T14:03:26.1441277Z 
2025-09-09T14:03:26.1441378Z       dnf upgrade --releasever=2023.8.20250715
2025-09-09T14:03:26.1441563Z 
2025-09-09T14:03:26.1441641Z     Release notes:
2025-09-09T14:03:26.1442269Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250715.html
2025-09-09T14:03:26.1442717Z 
2025-09-09T14:03:26.1442817Z   Version 2023.8.20250721:
2025-09-09T14:03:26.1443092Z     Run the following command to upgrade to 2023.8.20250721:
2025-09-09T14:03:26.1443313Z 
2025-09-09T14:03:26.1443424Z       dnf upgrade --releasever=2023.8.20250721
2025-09-09T14:03:26.1443620Z 
2025-09-09T14:03:26.1443692Z     Release notes:
2025-09-09T14:03:26.1444047Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250721.html
2025-09-09T14:03:26.1444404Z 
2025-09-09T14:03:26.1444481Z   Version 2023.8.20250808:
2025-09-09T14:03:26.1444753Z     Run the following command to upgrade to 2023.8.20250808:
2025-09-09T14:03:26.1444978Z 
2025-09-09T14:03:26.1445078Z       dnf upgrade --releasever=2023.8.20250808
2025-09-09T14:03:26.1445268Z 
2025-09-09T14:03:26.1445341Z     Release notes:
2025-09-09T14:03:26.1445694Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250808.html
2025-09-09T14:03:26.1446055Z 
2025-09-09T14:03:26.1446130Z   Version 2023.8.20250818:
2025-09-09T14:03:26.1446393Z     Run the following command to upgrade to 2023.8.20250818:
2025-09-09T14:03:26.1446621Z 
2025-09-09T14:03:26.1446718Z       dnf upgrade --releasever=2023.8.20250818
2025-09-09T14:03:26.1446910Z 
2025-09-09T14:03:26.1446985Z     Release notes:
2025-09-09T14:03:26.1447344Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250818.html
2025-09-09T14:03:26.1447694Z 
2025-09-09T14:03:26.1447770Z   Version 2023.8.20250908:
2025-09-09T14:03:26.1448031Z     Run the following command to upgrade to 2023.8.20250908:
2025-09-09T14:03:26.1448247Z 
2025-09-09T14:03:26.1448339Z       dnf upgrade --releasever=2023.8.20250908
2025-09-09T14:03:26.1448529Z 
2025-09-09T14:03:26.1448598Z     Release notes:
2025-09-09T14:03:26.1448934Z      https://docs.aws.amazon.com/linux/al2023/release-notes/relnotes-2023.8.20250908.html
2025-09-09T14:03:26.1449272Z 
2025-09-09T14:03:26.1449367Z ================================================================================
2025-09-09T14:03:26.1449644Z Complete!
2025-09-09T14:03:26.1825144Z ++ uname -r
2025-09-09T14:03:26.1836887Z + sudo yum install -y 'kernel-devel-uname-r == 6.1.141-155.222.amzn2023.x86_64'
2025-09-09T14:03:26.6092507Z Last metadata expiration check: 0:07:56 ago on Tue Sep  9 13:55:30 2025.
2025-09-09T14:03:26.6275548Z Using '==' operator in reldeps can result in an undefined behavior. It is deprecated and the support will be dropped in future versions. Use '=' operator instead.
2025-09-09T14:03:26.6378180Z Package kernel-devel-6.1.141-155.222.amzn2023.x86_64 is already installed.
2025-09-09T14:03:26.6712133Z Dependencies resolved.
2025-09-09T14:03:26.6892716Z Nothing to do.
2025-09-09T14:03:26.6893159Z Complete!
2025-09-09T14:03:26.7247217Z + sudo modprobe backlight
2025-09-09T14:03:26.8962031Z + sudo curl -fsL -o /tmp/nvidia_driver https://s3.amazonaws.com/ossci-linux/nvidia_driver/NVIDIA-Linux-x86_64-580.65.06.run
2025-09-09T14:03:31.0927534Z + set +e
2025-09-09T14:03:31.0927858Z + sudo /bin/bash /tmp/nvidia_driver -s --no-drm
2025-09-09T14:03:32.3290585Z Verifying archive integrity... OK
2025-09-09T14:03:34.5746937Z Uncompressing NVIDIA Accelerated Graphics Driver for Linux-x86_64 580.65.06....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
2025-09-09T14:03:35.1662249Z 
2025-09-09T14:03:35.1663431Z WARNING: The nvidia-drm module will not be installed. As a result, DRM-KMS will not function with this installation of the NVIDIA driver.
2025-09-09T14:03:35.1664218Z 
2025-09-09T14:04:01.8185967Z 
2025-09-09T14:04:01.8188419Z WARNING: nvidia-installer was forced to guess the X library path '/usr/lib64' and X module path '/usr/lib64/xorg/modules'; these paths were not queryable from the system.  If X fails to find the NVIDIA X driver module, please install the `pkg-config` utility and the X.Org SDK/development package for your distribution and reinstall the driver.
2025-09-09T14:04:01.8190626Z 
2025-09-09T14:04:01.8204830Z 
2025-09-09T14:04:01.8205777Z WARNING: This NVIDIA driver package includes Vulkan components, but no Vulkan ICD loader was detected on this system. The NVIDIA Vulkan ICD will not function without the loader. Most distributions package the Vulkan loader; try installing the "vulkan-loader", "vulkan-icd-loader", or "libvulkan1" package.
2025-09-09T14:04:01.8206662Z 
2025-09-09T14:04:12.6483212Z + NVIDIA_INSTALLATION_STATUS=0
2025-09-09T14:04:12.6483534Z + RESET_GPU=0
2025-09-09T14:04:12.6483746Z + '[' 0 -ne 0 ']'
2025-09-09T14:04:12.6485735Z ++ command -v nvidia-smi
2025-09-09T14:04:12.6490024Z + '[' -x /usr/bin/nvidia-smi ']'
2025-09-09T14:04:12.6493186Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-09-09T14:04:14.5048816Z + INSTALLED_DRIVER_VERSION=580.65.06
2025-09-09T14:04:14.5049157Z + NVIDIA_SMI_STATUS=0
2025-09-09T14:04:14.5049418Z + '[' 0 -ne 0 ']'
2025-09-09T14:04:14.5049613Z + '[' 0 -eq 1 ']'
2025-09-09T14:04:14.5049840Z + sudo rm -fv /tmp/nvidia_driver
2025-09-09T14:04:14.6399502Z removed '/tmp/nvidia_driver'
2025-09-09T14:04:14.6423760Z + set -e
2025-09-09T14:04:14.6426617Z + post_install_nvidia_driver_common
2025-09-09T14:04:14.6429939Z + sudo modprobe nvidia
2025-09-09T14:04:14.8055756Z + echo 'After installing NVIDIA driver'
2025-09-09T14:04:14.8056228Z + lspci
2025-09-09T14:04:14.8056536Z After installing NVIDIA driver
2025-09-09T14:04:14.8228615Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-09-09T14:04:14.8229133Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-09-09T14:04:14.8229666Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-09-09T14:04:14.8230178Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-09-09T14:04:14.8230638Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-09-09T14:04:14.8231094Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8231407Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8231730Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8232027Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8232336Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8232622Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8232915Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8233201Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8233497Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8233789Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8234074Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8234368Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8234656Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8235259Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8235545Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8235839Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8236125Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8236426Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8236716Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8237003Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8237300Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8237587Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8237892Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8238185Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8238478Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8238764Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8239064Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8239360Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8239641Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8239928Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8240218Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8240507Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8240794Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8241086Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8241372Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8241667Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8241938Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8242166Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8242409Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8242752Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8242991Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8243223Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8243475Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8243901Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8244173Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8244494Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-09-09T14:04:14.8244809Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8245054Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8245286Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8245596Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-09-09T14:04:14.8245928Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:04:14.8246224Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-09-09T14:04:14.8246494Z + lsmod
2025-09-09T14:04:14.8263385Z Module                  Size  Used by
2025-09-09T14:04:14.8263679Z nvidia_uvm           1921024  0
2025-09-09T14:04:14.8263932Z nvidia              14274560  1 nvidia_uvm
2025-09-09T14:04:14.8264207Z drm                   602112  1 nvidia
2025-09-09T14:04:14.8264487Z drm_panel_orientation_quirks    32768  1 drm
2025-09-09T14:04:14.8264774Z backlight              24576  1 drm
2025-09-09T14:04:14.8265032Z i2c_core              110592  2 nvidia,drm
2025-09-09T14:04:14.8265300Z xt_conntrack           16384  1
2025-09-09T14:04:14.8265532Z nft_chain_nat          16384  3
2025-09-09T14:04:14.8265754Z xt_MASQUERADE          20480  1
2025-09-09T14:04:14.8266036Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-09-09T14:04:14.8266347Z nf_conntrack_netlink    57344  0
2025-09-09T14:04:14.8266717Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-09-09T14:04:14.8267304Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-09-09T14:04:14.8267589Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-09-09T14:04:14.8267853Z xfrm_user              57344  1
2025-09-09T14:04:14.8268085Z xfrm_algo              16384  1 xfrm_user
2025-09-09T14:04:14.8268633Z xt_addrtype            16384  2
2025-09-09T14:04:14.8268861Z nft_compat             20480  4
2025-09-09T14:04:14.8269137Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-09-09T14:04:14.8269505Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-09-09T14:04:14.8269849Z br_netfilter           36864  0
2025-09-09T14:04:14.8270094Z bridge                323584  1 br_netfilter
2025-09-09T14:04:14.8270362Z stp                    16384  1 bridge
2025-09-09T14:04:14.8270617Z llc                    16384  2 bridge,stp
2025-09-09T14:04:14.8270863Z overlay               167936  0
2025-09-09T14:04:14.8271081Z tls                   139264  0
2025-09-09T14:04:14.8271292Z nls_ascii              16384  1
2025-09-09T14:04:14.8271515Z nls_cp437              20480  1
2025-09-09T14:04:14.8271724Z vfat                   24576  1
2025-09-09T14:04:14.8271948Z fat                    86016  1 vfat
2025-09-09T14:04:14.8272136Z sunrpc                700416  1
2025-09-09T14:04:14.8272310Z ena                   180224  0
2025-09-09T14:04:14.8272484Z i8042                  45056  0
2025-09-09T14:04:14.8272669Z serio                  28672  3 i8042
2025-09-09T14:04:14.8272865Z button                 24576  0
2025-09-09T14:04:14.8273041Z ghash_clmulni_intel    16384  0
2025-09-09T14:04:14.8273228Z sch_fq_codel           20480  9
2025-09-09T14:04:14.8273403Z dm_mod                188416  0
2025-09-09T14:04:14.8273575Z fuse                  184320  1
2025-09-09T14:04:14.8273742Z loop                   36864  0
2025-09-09T14:04:14.8273915Z configfs               57344  1
2025-09-09T14:04:14.8274086Z dmi_sysfs              20480  0
2025-09-09T14:04:14.8274266Z crc32_pclmul           16384  0
2025-09-09T14:04:14.8274449Z crc32c_intel           24576  0
2025-09-09T14:04:14.8274623Z efivarfs               24576  1
2025-09-09T14:04:14.8274798Z + modinfo nvidia
2025-09-09T14:04:14.8282304Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-09-09T14:04:14.8282814Z import_ns:      DMA_BUF
2025-09-09T14:04:14.8283225Z alias:          char-major-195-*
2025-09-09T14:04:14.8283475Z version:        580.65.06
2025-09-09T14:04:14.8283690Z supported:      external
2025-09-09T14:04:14.8283915Z license:        Dual MIT/GPL
2025-09-09T14:04:14.8284174Z firmware:       nvidia/580.65.06/gsp_tu10x.bin
2025-09-09T14:04:14.8284469Z firmware:       nvidia/580.65.06/gsp_ga10x.bin
2025-09-09T14:04:14.8284760Z srcversion:     A69EBF72FC9D60E11E9A05C
2025-09-09T14:04:14.8285084Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-09-09T14:04:14.8285425Z alias:          of:N*T*Cnvidia,tegra264-display
2025-09-09T14:04:14.8285747Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-09-09T14:04:14.8286097Z alias:          of:N*T*Cnvidia,tegra234-display
2025-09-09T14:04:14.8286403Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-09-09T14:04:14.8286700Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-09-09T14:04:14.8286989Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-09-09T14:04:14.8287273Z depends:        i2c-core,drm
2025-09-09T14:04:14.8287501Z retpoline:      Y
2025-09-09T14:04:14.8287703Z name:           nvidia
2025-09-09T14:04:14.8288029Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-09-09T14:04:14.8288462Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-09-09T14:04:14.8288868Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-09-09T14:04:14.8289243Z parm:           NVreg_ResmanDebugLevel:int
2025-09-09T14:04:14.8289521Z parm:           NVreg_RmLogonRC:int
2025-09-09T14:04:14.8289788Z parm:           NVreg_ModifyDeviceFiles:int
2025-09-09T14:04:14.8290071Z parm:           NVreg_DeviceFileUID:int
2025-09-09T14:04:14.8290514Z parm:           NVreg_DeviceFileGID:int
2025-09-09T14:04:14.8290789Z parm:           NVreg_DeviceFileMode:int
2025-09-09T14:04:14.8291104Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-09-09T14:04:14.8291451Z parm:           NVreg_UsePageAttributeTable:int
2025-09-09T14:04:14.8291731Z parm:           NVreg_EnablePCIeGen3:int
2025-09-09T14:04:14.8291943Z parm:           NVreg_EnableMSI:int
2025-09-09T14:04:14.8292162Z parm:           NVreg_EnableStreamMemOPs:int
2025-09-09T14:04:14.8292416Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-09-09T14:04:14.8292702Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-09-09T14:04:14.8292968Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-09-09T14:04:14.8293266Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-09-09T14:04:14.8293553Z parm:           NVreg_DynamicPowerManagement:int
2025-09-09T14:04:14.8293853Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-09-09T14:04:14.8294153Z parm:           NVreg_EnableGpuFirmware:int
2025-09-09T14:04:14.8294387Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-09-09T14:04:14.8294651Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-09-09T14:04:14.8294915Z parm:           NVreg_EnableUserNUMAManagement:int
2025-09-09T14:04:14.8295161Z parm:           NVreg_MemoryPoolSize:int
2025-09-09T14:04:14.8295388Z parm:           NVreg_KMallocHeapMaxSize:int
2025-09-09T14:04:14.8295625Z parm:           NVreg_VMallocHeapMaxSize:int
2025-09-09T14:04:14.8295861Z parm:           NVreg_IgnoreMMIOCheck:int
2025-09-09T14:04:14.8296096Z parm:           NVreg_NvLinkDisable:int
2025-09-09T14:04:14.8296365Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-09-09T14:04:14.8296629Z parm:           NVreg_RegisterPCIDriver:int
2025-09-09T14:04:14.8296890Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-09-09T14:04:14.8297145Z parm:           NVreg_EnableResizableBar:int
2025-09-09T14:04:14.8297394Z parm:           NVreg_EnableDbgBreakpoint:int
2025-09-09T14:04:14.8297638Z parm:           NVreg_EnableNonblockingOpen:int
2025-09-09T14:04:14.8297900Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-09-09T14:04:14.8298143Z parm:           NVreg_RegistryDwords:charp
2025-09-09T14:04:14.8298472Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-09-09T14:04:14.8298719Z parm:           NVreg_RmMsg:charp
2025-09-09T14:04:14.8298926Z parm:           NVreg_GpuBlacklist:charp
2025-09-09T14:04:14.8299163Z parm:           NVreg_TemporaryFilePath:charp
2025-09-09T14:04:14.8299392Z parm:           NVreg_ExcludedGpus:charp
2025-09-09T14:04:14.8299621Z parm:           NVreg_DmaRemapPeerMmio:int
2025-09-09T14:04:14.8299851Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-09-09T14:04:14.8300121Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-09-09T14:04:14.8300369Z parm:           NVreg_ImexChannelCount:int
2025-09-09T14:04:14.8300615Z parm:           NVreg_CreateImexChannel0:int
2025-09-09T14:04:14.8300866Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-09-09T14:04:14.8301111Z parm:           rm_firmware_active:charp
2025-09-09T14:04:14.8301322Z + set +e
2025-09-09T14:04:14.8301455Z + nvidia-smi
2025-09-09T14:04:16.2712324Z Tue Sep  9 14:04:16 2025       
2025-09-09T14:04:16.2713476Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:16.2714246Z | NVIDIA-SMI 580.65.06              Driver Version: 580.65.06      CUDA Version: 13.0     |
2025-09-09T14:04:16.2714699Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:04:16.2715155Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-09-09T14:04:16.2715632Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-09-09T14:04:16.2716017Z |                                         |                        |               MIG M. |
2025-09-09T14:04:16.2716550Z |=========================================+========================+======================|
2025-09-09T14:04:16.2780309Z |   0  NVIDIA L4                      Off |   00000000:35:00.0 Off |                    0 |
2025-09-09T14:04:16.2780989Z | N/A   38C    P0             29W /   72W |       0MiB /  23034MiB |      3%      Default |
2025-09-09T14:04:16.2781465Z |                                         |                        |                  N/A |
2025-09-09T14:04:16.2782030Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:04:16.2782469Z 
2025-09-09T14:04:16.2782726Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:16.2783274Z | Processes:                                                                              |
2025-09-09T14:04:16.2783697Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-09-09T14:04:16.2784090Z |        ID   ID                                                               Usage      |
2025-09-09T14:04:16.2784422Z |=========================================================================================|
2025-09-09T14:04:16.2785033Z |  No running processes found                                                             |
2025-09-09T14:04:16.2785751Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:16.5985654Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-09-09T14:04:18.0401523Z NVIDIA L4
2025-09-09T14:04:18.2166517Z + NVIDIA_SMI_STATUS=0
2025-09-09T14:04:18.2166791Z + '[' 0 -eq 0 ']'
2025-09-09T14:04:18.2167035Z + echo 'INFO: Ignoring allowed status 0'
2025-09-09T14:04:18.2167311Z + set -e
2025-09-09T14:04:18.2167504Z INFO: Ignoring allowed status 0
2025-09-09T14:04:18.2174589Z == Installing nvidia container toolkit for amzn2023 ==
2025-09-09T14:04:18.2177776Z + sudo yum install -y yum-utils
2025-09-09T14:04:18.6077972Z Last metadata expiration check: 0:08:48 ago on Tue Sep  9 13:55:30 2025.
2025-09-09T14:04:18.6275604Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-09-09T14:04:18.6611440Z Dependencies resolved.
2025-09-09T14:04:18.6793423Z Nothing to do.
2025-09-09T14:04:18.6793740Z Complete!
2025-09-09T14:04:18.7163791Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-09-09T14:04:18.7164616Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-09-09T14:04:18.7165430Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-09-09T14:04:19.0079980Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-09-09T14:04:19.0508727Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8
2025-09-09T14:04:19.5084104Z nvidia-container-toolkit                         25 kB/s | 833  B     00:00    
2025-09-09T14:04:19.5290928Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed.
2025-09-09T14:04:19.5295215Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed.
2025-09-09T14:04:19.5298580Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed.
2025-09-09T14:04:19.5303828Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed.
2025-09-09T14:04:19.5637675Z Dependencies resolved.
2025-09-09T14:04:19.5817677Z Nothing to do.
2025-09-09T14:04:19.5818188Z Complete!
2025-09-09T14:04:19.6164763Z + sudo systemctl restart docker
2025-09-09T14:04:32.9290530Z Tue Sep  9 14:04:32 2025       
2025-09-09T14:04:32.9291415Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:32.9292397Z | NVIDIA-SMI 580.65.06              Driver Version: 580.65.06      CUDA Version: 13.0     |
2025-09-09T14:04:32.9292905Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:04:32.9293738Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-09-09T14:04:32.9294228Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-09-09T14:04:32.9294626Z |                                         |                        |               MIG M. |
2025-09-09T14:04:32.9294923Z |=========================================+========================+======================|
2025-09-09T14:04:32.9366479Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-09-09T14:04:32.9366902Z | N/A   38C    P0             29W /   72W |       0MiB /  23034MiB |      3%      Default |
2025-09-09T14:04:32.9367256Z |                                         |                        |                  N/A |
2025-09-09T14:04:32.9367608Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:04:32.9367887Z 
2025-09-09T14:04:32.9368044Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:32.9368667Z | Processes:                                                                              |
2025-09-09T14:04:32.9369078Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-09-09T14:04:32.9369439Z |        ID   ID                                                               Usage      |
2025-09-09T14:04:32.9369739Z |=========================================================================================|
2025-09-09T14:04:32.9371441Z |  No running processes found                                                             |
2025-09-09T14:04:32.9371876Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:33.1038671Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-09-09T14:04:33.3743454Z 3.13: Pulling from docker/library/python
2025-09-09T14:04:33.4677409Z 15b1d8a5ff03: Pulling fs layer
2025-09-09T14:04:33.4678518Z 22718812f617: Pulling fs layer
2025-09-09T14:04:33.4678779Z 401a98f7495b: Pulling fs layer
2025-09-09T14:04:33.4678981Z ad446e7df19a: Pulling fs layer
2025-09-09T14:04:33.4679182Z 5d32990caa16: Pulling fs layer
2025-09-09T14:04:33.4679658Z a79d633abf9a: Pulling fs layer
2025-09-09T14:04:33.4679889Z 249a56c8e466: Pulling fs layer
2025-09-09T14:04:33.4680063Z ad446e7df19a: Waiting
2025-09-09T14:04:33.4680233Z 5d32990caa16: Waiting
2025-09-09T14:04:33.4680473Z 249a56c8e466: Waiting
2025-09-09T14:04:33.4680641Z a79d633abf9a: Waiting
2025-09-09T14:04:33.5610094Z 22718812f617: Verifying Checksum
2025-09-09T14:04:33.5610535Z 22718812f617: Download complete
2025-09-09T14:04:33.7139289Z 15b1d8a5ff03: Verifying Checksum
2025-09-09T14:04:33.7139773Z 15b1d8a5ff03: Download complete
2025-09-09T14:04:33.7181407Z 401a98f7495b: Verifying Checksum
2025-09-09T14:04:33.7181875Z 401a98f7495b: Download complete
2025-09-09T14:04:33.7878019Z 5d32990caa16: Verifying Checksum
2025-09-09T14:04:33.7878465Z 5d32990caa16: Download complete
2025-09-09T14:04:33.8387504Z a79d633abf9a: Verifying Checksum
2025-09-09T14:04:33.8453053Z a79d633abf9a: Download complete
2025-09-09T14:04:33.8453460Z 249a56c8e466: Verifying Checksum
2025-09-09T14:04:33.8453832Z 249a56c8e466: Download complete
2025-09-09T14:04:34.1569597Z ad446e7df19a: Verifying Checksum
2025-09-09T14:04:34.1570055Z ad446e7df19a: Download complete
2025-09-09T14:04:34.9690498Z 15b1d8a5ff03: Pull complete
2025-09-09T14:04:35.4971654Z 22718812f617: Pull complete
2025-09-09T14:04:37.2360291Z 401a98f7495b: Pull complete
2025-09-09T14:04:41.9590742Z ad446e7df19a: Pull complete
2025-09-09T14:04:42.3525830Z 5d32990caa16: Pull complete
2025-09-09T14:04:43.0566814Z a79d633abf9a: Pull complete
2025-09-09T14:04:43.1414672Z 249a56c8e466: Pull complete
2025-09-09T14:04:43.2216518Z Digest: sha256:74503e0bff6cf811f029590a05e0218cc9ba3e099a4b7df0ab84a67df081e1bc
2025-09-09T14:04:43.2363166Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-09-09T14:04:51.0077998Z Tue Sep  9 14:04:51 2025       
2025-09-09T14:04:51.0078416Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:51.0078920Z | NVIDIA-SMI 580.65.06              Driver Version: 580.65.06      CUDA Version: 13.0     |
2025-09-09T14:04:51.0079360Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:04:51.0079821Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-09-09T14:04:51.0080315Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-09-09T14:04:51.0080694Z |                                         |                        |               MIG M. |
2025-09-09T14:04:51.0080976Z |=========================================+========================+======================|
2025-09-09T14:04:51.0189360Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-09-09T14:04:51.0189996Z | N/A   37C    P8             12W /   72W |       0MiB /  23034MiB |      0%      Default |
2025-09-09T14:04:51.0190491Z |                                         |                        |                  N/A |
2025-09-09T14:04:51.0191018Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:04:51.0192604Z 
2025-09-09T14:04:51.0193025Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:51.0193620Z | Processes:                                                                              |
2025-09-09T14:04:51.0194198Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-09-09T14:04:51.0194750Z |        ID   ID                                                               Usage      |
2025-09-09T14:04:51.0195186Z |=========================================================================================|
2025-09-09T14:04:51.0197941Z |  No running processes found                                                             |
2025-09-09T14:04:51.0198581Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:04:52.3122323Z Command completed after 1 attempt(s).
2025-09-09T14:04:52.3196855Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-09-09T14:04:52.3197275Z # ignore expansion of "docker ps -q" since it could be empty
2025-09-09T14:04:52.3197572Z # shellcheck disable=SC2046
2025-09-09T14:04:52.3197822Z docker stop $(docker ps -q) || true
2025-09-09T14:04:52.3198064Z # Prune all of the docker images
2025-09-09T14:04:52.3198288Z docker system prune -af
2025-09-09T14:04:52.3209619Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:04:52.3209892Z env:
2025-09-09T14:04:52.3210087Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:52.3210361Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:52.3210555Z   PR_NUMBER: 2963
2025-09-09T14:04:52.3212110Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:52.3213787Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:52.3214204Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:52.3214588Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:52.3215079Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:52.3215335Z ##[endgroup]
2025-09-09T14:04:52.3466363Z "docker stop" requires at least 1 argument.
2025-09-09T14:04:52.3466717Z See 'docker stop --help'.
2025-09-09T14:04:52.3466877Z 
2025-09-09T14:04:52.3467033Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-09-09T14:04:52.3467302Z 
2025-09-09T14:04:52.3467403Z Stop one or more running containers
2025-09-09T14:04:53.3245650Z Deleted Images:
2025-09-09T14:04:53.3246041Z untagged: public.ecr.aws/docker/library/python:3.13
2025-09-09T14:04:53.3246710Z untagged: public.ecr.aws/docker/library/python@sha256:74503e0bff6cf811f029590a05e0218cc9ba3e099a4b7df0ab84a67df081e1bc
2025-09-09T14:04:53.3247452Z deleted: sha256:77f2b24be2b3987f6d59918787d226acb4e6612644bacb3dd37adc494e477d9e
2025-09-09T14:04:53.3248019Z deleted: sha256:1b9aa91044866f8707424c8fe367f924a48557eac69f7485fd6d2a3a116c74d5
2025-09-09T14:04:53.3248557Z deleted: sha256:b86402d18e73d4825a3bd2a09244a93487ba4687ca7c9dcba0f73e160840845c
2025-09-09T14:04:53.3249109Z deleted: sha256:5755f8963eb047a0086073c3a7dd0731296d6751a7445f3693a52b30020a5b65
2025-09-09T14:04:53.3249624Z deleted: sha256:7f33dbfa9475d25622f49ed51f4164c97de1303331c77dfdc738e084d100f50c
2025-09-09T14:04:53.3250167Z deleted: sha256:19daa38049795ba2c166dd898c81b17e31f4b5f98c1337846c6515fff97d8782
2025-09-09T14:04:53.3250701Z deleted: sha256:483bd23b5d7e66fc0f8a92dbfacc3d72fad97ef47dd4767889979a803bc1f5b8
2025-09-09T14:04:53.3251234Z deleted: sha256:185e04da9d947141fd703dbf36361bdc2ff77cc27cbf500fb9f4881cb5ddbe95
2025-09-09T14:04:53.3251546Z 
2025-09-09T14:04:53.4243508Z Total reclaimed space: 1.109GB
2025-09-09T14:04:53.4324472Z ##[group]Run ./test-infra/.github/actions/setup-ssh
2025-09-09T14:04:53.4324769Z with:
2025-09-09T14:04:53.4325317Z   github-secret: ***
2025-09-09T14:04:53.4325837Z   instructions: All testing is done inside the container, to start an interactive session run:
   docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-09-09T14:04:53.4326396Z   activate-with-label: false
2025-09-09T14:04:53.4326588Z   label: with-ssh
2025-09-09T14:04:53.4326766Z   remove-existing-keys: true
2025-09-09T14:04:53.4326958Z   fail-silently: true
2025-09-09T14:04:53.4327114Z env:
2025-09-09T14:04:53.4327299Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:53.4327544Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:53.4327727Z   PR_NUMBER: 2963
2025-09-09T14:04:53.4329250Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:53.4330876Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:53.4331284Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:53.4331657Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:53.4331973Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:53.4332217Z ##[endgroup]
2025-09-09T14:04:53.5286079Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-09-09T14:04:54.1076310Z Grabbing public ssh keys from https://github.com/andrewor14.keys
2025-09-09T14:04:54.1944298Z ~/.ssh/authorized_keys file found on node, removing ~/.ssh and starting fresh
2025-09-09T14:04:54.1957660Z Public keys pulled and installed to /home/ec2-user/.ssh/authorized_keys
2025-09-09T14:04:54.2006659Z Login using: ssh ec2-user@ec2-44-204-31-178.compute-1.amazonaws.com
2025-09-09T14:04:54.2007171Z All testing is done inside the container, to start an interactive session run:
2025-09-09T14:04:54.2007899Z    docker exec -it $(docker container ps --format '{{.ID}}') bash
2025-09-09T14:04:54.2123948Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683
2025-09-09T14:04:54.2124283Z with:
2025-09-09T14:04:54.2124451Z   repository: pytorch/ao
2025-09-09T14:04:54.2124647Z   ref: refs/pull/2963/merge
2025-09-09T14:04:54.2124846Z   path: pytorch/ao
2025-09-09T14:04:54.2125007Z   fetch-depth: 1
2025-09-09T14:04:54.2125179Z   submodules: recursive
2025-09-09T14:04:54.2125469Z   token: ***
2025-09-09T14:04:54.2125634Z   ssh-strict: true
2025-09-09T14:04:54.2125794Z   ssh-user: git
2025-09-09T14:04:54.2125963Z   persist-credentials: true
2025-09-09T14:04:54.2126148Z   clean: true
2025-09-09T14:04:54.2126313Z   sparse-checkout-cone-mode: true
2025-09-09T14:04:54.2126522Z   fetch-tags: false
2025-09-09T14:04:54.2126680Z   show-progress: true
2025-09-09T14:04:54.2126845Z   lfs: false
2025-09-09T14:04:54.2126997Z   set-safe-directory: true
2025-09-09T14:04:54.2127195Z env:
2025-09-09T14:04:54.2127372Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:54.2127646Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:54.2127818Z   PR_NUMBER: 2963
2025-09-09T14:04:54.2129377Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:54.2131035Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:54.2131463Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:54.2131838Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:54.2132166Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:54.2132420Z ##[endgroup]
2025-09-09T14:04:54.2981379Z Syncing repository: pytorch/ao
2025-09-09T14:04:54.2988206Z ##[group]Getting Git version info
2025-09-09T14:04:54.2988639Z Working directory is '/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao'
2025-09-09T14:04:54.3012729Z [command]/usr/bin/git version
2025-09-09T14:04:54.3051251Z git version 2.47.1
2025-09-09T14:04:54.3074352Z ##[endgroup]
2025-09-09T14:04:54.3085977Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/1f6a7ee8-ab2a-45f5-899f-addf9fdcb599' before making global git config changes
2025-09-09T14:04:54.3086840Z Adding repository directory to the temporary git global config as a safe directory
2025-09-09T14:04:54.3095680Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao
2025-09-09T14:04:54.3124674Z ##[group]Initializing the repository
2025-09-09T14:04:54.3128522Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao
2025-09-09T14:04:54.3170021Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-09-09T14:04:54.3170585Z hint: is subject to change. To configure the initial branch name to use in all
2025-09-09T14:04:54.3171085Z hint: of your new repositories, which will suppress this warning, call:
2025-09-09T14:04:54.3171443Z hint:
2025-09-09T14:04:54.3171701Z hint: 	git config --global init.defaultBranch <name>
2025-09-09T14:04:54.3172003Z hint:
2025-09-09T14:04:54.3172289Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-09-09T14:04:54.3172765Z hint: 'development'. The just-created branch can be renamed via this command:
2025-09-09T14:04:54.3173131Z hint:
2025-09-09T14:04:54.3173315Z hint: 	git branch -m <name>
2025-09-09T14:04:54.3173754Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao/.git/
2025-09-09T14:04:54.3180046Z [command]/usr/bin/git remote add origin https://github.com/pytorch/ao
2025-09-09T14:04:54.3210867Z ##[endgroup]
2025-09-09T14:04:54.3211296Z ##[group]Disabling automatic garbage collection
2025-09-09T14:04:54.3215212Z [command]/usr/bin/git config --local gc.auto 0
2025-09-09T14:04:54.3243315Z ##[endgroup]
2025-09-09T14:04:54.3243655Z ##[group]Setting up auth
2025-09-09T14:04:54.3248870Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-09-09T14:04:54.3275911Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-09-09T14:04:54.3615866Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-09-09T14:04:54.3644640Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-09-09T14:04:54.3976983Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-09-09T14:04:54.4020885Z ##[endgroup]
2025-09-09T14:04:54.4021274Z ##[group]Fetching the repository
2025-09-09T14:04:54.4036280Z [command]/usr/bin/git -c protocol.version=2 fetch --no-tags --prune --no-recurse-submodules --depth=1 origin +refs/pull/2963/merge:refs/remotes/pull/2963/merge
2025-09-09T14:04:55.0904237Z From https://github.com/pytorch/ao
2025-09-09T14:04:55.0904663Z  * [new ref]         refs/pull/2963/merge -> pull/2963/merge
2025-09-09T14:04:55.0930588Z ##[endgroup]
2025-09-09T14:04:55.0930987Z ##[group]Determining the checkout info
2025-09-09T14:04:55.0932985Z ##[endgroup]
2025-09-09T14:04:55.0937499Z [command]/usr/bin/git sparse-checkout disable
2025-09-09T14:04:55.0975039Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-09-09T14:04:55.1003205Z ##[group]Checking out the ref
2025-09-09T14:04:55.1006634Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/2963/merge
2025-09-09T14:04:55.2193346Z Note: switching to 'refs/remotes/pull/2963/merge'.
2025-09-09T14:04:55.2193626Z 
2025-09-09T14:04:55.2193839Z You are in 'detached HEAD' state. You can look around, make experimental
2025-09-09T14:04:55.2194334Z changes and commit them, and you can discard any commits you make in this
2025-09-09T14:04:55.2194819Z state without impacting any branches by switching back to a branch.
2025-09-09T14:04:55.2195102Z 
2025-09-09T14:04:55.2195415Z If you want to create a new branch to retain commits you create, you may
2025-09-09T14:04:55.2195862Z do so (now or later) by using -c with the switch command. Example:
2025-09-09T14:04:55.2196115Z 
2025-09-09T14:04:55.2196225Z   git switch -c <new-branch-name>
2025-09-09T14:04:55.2196398Z 
2025-09-09T14:04:55.2196493Z Or undo this operation with:
2025-09-09T14:04:55.2196650Z 
2025-09-09T14:04:55.2196734Z   git switch -
2025-09-09T14:04:55.2196880Z 
2025-09-09T14:04:55.2197105Z Turn off this advice by setting config variable advice.detachedHead to false
2025-09-09T14:04:55.2197418Z 
2025-09-09T14:04:55.2197763Z HEAD is now at 7c05f81 Merge c21284c127b039bc49cc7ffda0e692894ed3b094 into 8b72284fd363b5c096de93fb7ac9cc960a6a601e
2025-09-09T14:04:55.2206829Z ##[endgroup]
2025-09-09T14:04:55.2207217Z ##[group]Setting up auth for fetching submodules
2025-09-09T14:04:55.2211380Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-09-09T14:04:55.2258064Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-09-09T14:04:55.2284395Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-09-09T14:04:55.2313215Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-09-09T14:04:55.2338071Z ##[endgroup]
2025-09-09T14:04:55.2338579Z ##[group]Fetching submodules
2025-09-09T14:04:55.2341595Z [command]/usr/bin/git submodule sync --recursive
2025-09-09T14:04:55.2673749Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive
2025-09-09T14:04:55.2988415Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass) registered for path 'third_party/cutlass'
2025-09-09T14:04:55.3019001Z Cloning into '/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao/third_party/cutlass'...
2025-09-09T14:04:56.9244709Z From https://github.com/NVIDIA/cutlass
2025-09-09T14:04:56.9245186Z  * branch            e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 -> FETCH_HEAD
2025-09-09T14:04:57.5969586Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-09-09T14:04:57.6011301Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-09-09T14:04:57.6330620Z Entering 'third_party/cutlass'
2025-09-09T14:04:57.6400349Z ##[endgroup]
2025-09-09T14:04:57.6400742Z ##[group]Persisting credentials for submodules
2025-09-09T14:04:57.6406714Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-09-09T14:04:57.6727352Z Entering 'third_party/cutlass'
2025-09-09T14:04:57.6814865Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-09-09T14:04:57.7136119Z Entering 'third_party/cutlass'
2025-09-09T14:04:57.7197157Z file:/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao/.git/modules/third_party/cutlass/config	remote.origin.url
2025-09-09T14:04:57.7251706Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-09-09T14:04:57.7576237Z Entering 'third_party/cutlass'
2025-09-09T14:04:57.7644349Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-09-09T14:04:57.7964805Z Entering 'third_party/cutlass'
2025-09-09T14:04:57.8036087Z ##[endgroup]
2025-09-09T14:04:57.8070937Z [command]/usr/bin/git log -1 --format=%H
2025-09-09T14:04:57.8092406Z 7c05f811b89289f7be3e0e3546626827f2cc1ca4
2025-09-09T14:04:57.8265003Z Prepare all required actions
2025-09-09T14:04:57.8265449Z Getting action download info
2025-09-09T14:04:57.9573138Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-09-09T14:04:58.1286700Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image
2025-09-09T14:04:58.1286976Z with:
2025-09-09T14:04:58.1287148Z   use-custom-docker-registry: true
2025-09-09T14:04:58.1287418Z   docker-image-name: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.1287680Z   docker-build-dir: .ci/docker
2025-09-09T14:04:58.1287901Z   working-directory: pytorch/ao
2025-09-09T14:04:58.1288128Z   docker-build-script: ./build.sh
2025-09-09T14:04:58.1288397Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-09-09T14:04:58.1288667Z   force-push: false
2025-09-09T14:04:58.1288826Z env:
2025-09-09T14:04:58.1289002Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.1289251Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:58.1289452Z   PR_NUMBER: 2963
2025-09-09T14:04:58.1290976Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:58.1292594Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:58.1293164Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:58.1293547Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:58.1293868Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:58.1294116Z ##[endgroup]
2025-09-09T14:04:58.1324887Z ##[group]Run set -ex
2025-09-09T14:04:58.1325108Z set -ex
2025-09-09T14:04:58.1325257Z 
2025-09-09T14:04:58.1325532Z # If the docker build directory or the build script doesn't exist, the action will
2025-09-09T14:04:58.1325990Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-09-09T14:04:58.1326387Z # job could then download the pre-built image as usual
2025-09-09T14:04:58.1326866Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-09-09T14:04:58.1327311Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1327540Z else
2025-09-09T14:04:58.1327720Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1328046Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1328391Z 
2025-09-09T14:04:58.1328843Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-09-09T14:04:58.1329371Z   exit 0
2025-09-09T14:04:58.1329545Z fi
2025-09-09T14:04:58.1329716Z 
2025-09-09T14:04:58.1329987Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-09-09T14:04:58.1330471Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-09-09T14:04:58.1330841Z   # use it as it is, but first let's extract the tag
2025-09-09T14:04:58.1331186Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-09-09T14:04:58.1331540Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1331872Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1332152Z else
2025-09-09T14:04:58.1332508Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-09-09T14:04:58.1332787Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-09-09T14:04:58.1333064Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-09-09T14:04:58.1333290Z   fi
2025-09-09T14:04:58.1333600Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-09-09T14:04:58.1334015Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1334455Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1334946Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-09-09T14:04:58.1335237Z fi
2025-09-09T14:04:58.1342670Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:04:58.1342937Z env:
2025-09-09T14:04:58.1343137Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.1343391Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:58.1343583Z   PR_NUMBER: 2963
2025-09-09T14:04:58.1345103Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:58.1346816Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:58.1347221Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:58.1347603Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:58.1347916Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:58.1348158Z   REPO_NAME: ao
2025-09-09T14:04:58.1348368Z   DOCKER_IMAGE_NAME: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.1348624Z   DOCKER_BUILD_DIR: .ci/docker
2025-09-09T14:04:58.1348815Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-09-09T14:04:58.1349075Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-09-09T14:04:58.1349360Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-09-09T14:04:58.1349554Z   CUSTOM_TAG_PREFIX: 
2025-09-09T14:04:58.1349728Z ##[endgroup]
2025-09-09T14:04:58.1376967Z + [[ -d .ci/docker ]]
2025-09-09T14:04:58.1377156Z + echo skip=true
2025-09-09T14:04:58.1377422Z + echo docker-image=pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.1378260Z + echo 'Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ao repo...'
2025-09-09T14:04:58.1378811Z + exit 0
2025-09-09T14:04:58.1379258Z Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ao repo...
2025-09-09T14:04:58.1411558Z ##[group]Run set -eux
2025-09-09T14:04:58.1411756Z set -eux
2025-09-09T14:04:58.1412050Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-09-09T14:04:58.1412860Z aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token | jq --raw-output '.SecretString' | jq -r .docker_hub_readonly_token | docker login --username pytorchbot --password-stdin || true
2025-09-09T14:04:58.1419759Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:04:58.1420026Z env:
2025-09-09T14:04:58.1420223Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.1420471Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:58.1420652Z   PR_NUMBER: 2963
2025-09-09T14:04:58.1422320Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:58.1423976Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:58.1424389Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:58.1424774Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:58.1425089Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:58.1425334Z ##[endgroup]
2025-09-09T14:04:58.1453964Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-09-09T14:04:58.1454906Z + jq --raw-output .SecretString
2025-09-09T14:04:58.1456214Z + jq -r .docker_hub_readonly_token
2025-09-09T14:04:58.1457445Z + docker login --username pytorchbot --password-stdin
2025-09-09T14:04:58.6691616Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-09-09T14:04:58.6692532Z Configure a credential helper to remove this warning. See
2025-09-09T14:04:58.6693387Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-09-09T14:04:58.6693946Z 
2025-09-09T14:04:58.6694060Z Login Succeeded
2025-09-09T14:04:58.6770472Z Prepare all required actions
2025-09-09T14:04:58.6801048Z ##[group]Run ./test-infra/.github/actions/pull-docker-image
2025-09-09T14:04:58.6801307Z with:
2025-09-09T14:04:58.6801660Z   docker-image: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.6801982Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-09-09T14:04:58.6802260Z env:
2025-09-09T14:04:58.6802448Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.6802693Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:58.6802987Z   PR_NUMBER: 2963
2025-09-09T14:04:58.6804521Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:58.6806149Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:58.6806563Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:58.6806933Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:58.6807243Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:58.6807496Z ##[endgroup]
2025-09-09T14:04:58.6825165Z ##[group]Run set -x
2025-09-09T14:04:58.6825375Z set -x
2025-09-09T14:04:58.6825531Z set +e
2025-09-09T14:04:58.6825676Z 
2025-09-09T14:04:58.6825823Z login() {
2025-09-09T14:04:58.6826165Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-09-09T14:04:58.6826545Z }
2025-09-09T14:04:58.6826689Z 
2025-09-09T14:04:58.6826843Z retry () {
2025-09-09T14:04:58.6827030Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-09-09T14:04:58.6827248Z }
2025-09-09T14:04:58.6827388Z 
2025-09-09T14:04:58.6827564Z retry login "${DOCKER_REGISTRY}"
2025-09-09T14:04:58.6827783Z 
2025-09-09T14:04:58.6828127Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-09-09T14:04:58.6828599Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-09-09T14:04:58.6828852Z 
2025-09-09T14:04:58.6828997Z set -e
2025-09-09T14:04:58.6829245Z # ignore output since only exit code is used for conditional
2025-09-09T14:04:58.6829583Z # only pull docker image if it's not available locally
2025-09-09T14:04:58.6829961Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-09-09T14:04:58.6830310Z   retry docker pull "${DOCKER_IMAGE}"
2025-09-09T14:04:58.6830543Z fi
2025-09-09T14:04:58.6838956Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:04:58.6839228Z env:
2025-09-09T14:04:58.6839423Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:58.6839677Z   REPOSITORY: pytorch/ao
2025-09-09T14:04:58.6839861Z   PR_NUMBER: 2963
2025-09-09T14:04:58.6841375Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:04:58.6843143Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:04:58.6843707Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:04:58.6844104Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:04:58.6844500Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:04:58.6844817Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-09-09T14:04:58.6845083Z ##[endgroup]
2025-09-09T14:04:58.6872583Z + set +e
2025-09-09T14:04:58.6873063Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-09-09T14:04:58.6873491Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-09-09T14:04:58.6876221Z + aws ecr get-login-password --region us-east-1
2025-09-09T14:04:58.6877426Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-09-09T14:04:59.1684007Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-09-09T14:04:59.1684907Z Configure a credential helper to remove this warning. See
2025-09-09T14:04:59.1685399Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-09-09T14:04:59.1685665Z 
2025-09-09T14:04:59.1686173Z Login Succeeded
2025-09-09T14:04:59.1710675Z ++ docker manifest inspect pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:59.1711401Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-09-09T14:04:59.3281680Z + IMAGE_SIZE=7943.772059440613
2025-09-09T14:04:59.3281982Z + echo 'Compressed size of image in MB: 7943.772059440613'
2025-09-09T14:04:59.3282256Z + set -e
2025-09-09T14:04:59.3282493Z + docker inspect --type=image pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:59.3282882Z Compressed size of image in MB: 7943.772059440613
2025-09-09T14:04:59.3407708Z + retry docker pull pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:59.4840668Z + docker pull pytorch/almalinux-builder:cuda12.6
2025-09-09T14:04:59.4841353Z cuda12.6: Pulling from pytorch/almalinux-builder
2025-09-09T14:04:59.4841916Z 19877a9af8e3: Pulling fs layer
2025-09-09T14:04:59.4842368Z 3b95f7accc18: Pulling fs layer
2025-09-09T14:04:59.4842785Z 09fcdf4cf4fd: Pulling fs layer
2025-09-09T14:04:59.4843320Z 17af5086235f: Pulling fs layer
2025-09-09T14:04:59.4843713Z c3175a707c2d: Pulling fs layer
2025-09-09T14:04:59.4844064Z 550b3c83242f: Pulling fs layer
2025-09-09T14:04:59.4844291Z 018f40a634ae: Pulling fs layer
2025-09-09T14:04:59.4844537Z 4f4fb700ef54: Pulling fs layer
2025-09-09T14:04:59.4844779Z cabce7a916a3: Pulling fs layer
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2025-09-09T14:04:59.4846563Z cac5e14b36bd: Pulling fs layer
2025-09-09T14:04:59.4846785Z c3175a707c2d: Waiting
2025-09-09T14:04:59.4846991Z d9fc50fb0d36: Pulling fs layer
2025-09-09T14:04:59.4847219Z 8b2ffa49399c: Pulling fs layer
2025-09-09T14:04:59.4847428Z 550b3c83242f: Waiting
2025-09-09T14:04:59.4847736Z 05e4f4570fa0: Pulling fs layer
2025-09-09T14:04:59.4848162Z 018f40a634ae: Waiting
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2025-09-09T14:04:59.4852006Z 17af5086235f: Waiting
2025-09-09T14:04:59.7134756Z 09fcdf4cf4fd: Verifying Checksum
2025-09-09T14:04:59.7135078Z 09fcdf4cf4fd: Download complete
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2025-09-09T14:05:01.0895207Z 8e08c86db3a1: Download complete
2025-09-09T14:05:02.1889959Z 19877a9af8e3: Pull complete
2025-09-09T14:05:02.2130954Z c3175a707c2d: Verifying Checksum
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2025-09-09T14:05:03.9930107Z 3b95f7accc18: Pull complete
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2025-09-09T14:07:25.4169256Z 282dc51a39ad: Pull complete
2025-09-09T14:07:25.5410759Z Digest: sha256:be7f2a4c6f467933b154ac0b3ded894ad1bf06ce95f8f8d908dba108e68806f3
2025-09-09T14:07:25.5929685Z Status: Downloaded newer image for pytorch/almalinux-builder:cuda12.6
2025-09-09T14:07:25.6166485Z docker.io/pytorch/almalinux-builder:cuda12.6
2025-09-09T14:07:25.6236689Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-09-09T14:07:25.6237409Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-09-09T14:07:25.6247144Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:07:25.6247415Z env:
2025-09-09T14:07:25.6247610Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:07:25.6247865Z   REPOSITORY: pytorch/ao
2025-09-09T14:07:25.6248041Z   PR_NUMBER: 2963
2025-09-09T14:07:25.6249596Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:07:25.6251245Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:07:25.6251651Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:07:25.6252029Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:07:25.6252339Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:07:25.6252585Z ##[endgroup]
2025-09-09T14:07:25.6438259Z Prepare all required actions
2025-09-09T14:07:25.6438580Z Getting action download info
2025-09-09T14:07:25.8178903Z ##[group]Run ./test-infra/.github/actions/setup-nvidia
2025-09-09T14:07:25.8179159Z with:
2025-09-09T14:07:25.8179318Z   driver-version: 580.65.06
2025-09-09T14:07:25.8179487Z env:
2025-09-09T14:07:25.8179675Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:07:25.8179917Z   REPOSITORY: pytorch/ao
2025-09-09T14:07:25.8180093Z   PR_NUMBER: 2963
2025-09-09T14:07:25.8181617Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:07:25.8183266Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:07:25.8183682Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:07:25.8184054Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:07:25.8184376Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:07:25.8184632Z ##[endgroup]
2025-09-09T14:07:25.8268603Z ##[group]Run nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482
2025-09-09T14:07:25.8268891Z with:
2025-09-09T14:07:25.8269052Z   timeout_minutes: 10
2025-09-09T14:07:25.8269217Z   max_attempts: 3
2025-09-09T14:07:25.8288375Z   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"

install_nvidia_docker2_amzn2() {
    (
        set -x
        # Needed for yum-config-manager
        sudo yum install -y yum-utils
        if [[ "${DISTRIBUTION}" == "amzn2023" ]] ; then
          YUM_REPO_URL="https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo"
        else
          # Amazon Linux 2
          YUM_REPO_URL="https://nvidia.github.io/nvidia-docker/${DISTRIBUTION}/nvidia-docker.repo"
        fi

        sudo yum-config-manager --add-repo "${YUM_REPO_URL}"
        sudo yum install -y \
          nvidia-container-toolkit-1.17.8 \
          libnvidia-container-tools-1.17.8 \
          libnvidia-container1-1.17.8 \
          nvidia-container-toolkit-base-1.17.8
        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-container-toolkit-1.17.8
          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"

                # Turn off persistent mode so that the installation script can unload the kernel module
                sudo killall nvidia-persistenced || true
            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}"

# Fix https://github.com/NVIDIA/nvidia-docker/issues/1648 on runners with
# more than one GPUs. This just needs to be run once. The command fails
# on subsequent runs and complains that the mode is already on, but that's
# ok
sudo nvidia-persistenced || true
# This should show persistence mode ON
nvidia-smi

# check if the container-toolkit is correctly installed and CUDA is available inside a container
docker run --rm -t --gpus=all public.ecr.aws/docker/library/python:3.13 nvidia-smi

2025-09-09T14:07:25.8307519Z   retry_wait_seconds: 10
2025-09-09T14:07:25.8307703Z   polling_interval_seconds: 1
2025-09-09T14:07:25.8307906Z   warning_on_retry: true
2025-09-09T14:07:25.8308083Z   continue_on_error: false
2025-09-09T14:07:25.8308254Z env:
2025-09-09T14:07:25.8308433Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:07:25.8308768Z   REPOSITORY: pytorch/ao
2025-09-09T14:07:25.8308953Z   PR_NUMBER: 2963
2025-09-09T14:07:25.8310432Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:07:25.8312150Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:07:25.8312552Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:07:25.8312927Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:07:25.8313267Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:07:25.8313520Z   DRIVER_VERSION: 580.65.06
2025-09-09T14:07:25.8313695Z ##[endgroup]
2025-09-09T14:07:25.9127264Z == Installing nvidia driver NVIDIA-Linux-x86_64-580.65.06.run ==
2025-09-09T14:07:25.9129003Z + pre_install_nvidia_driver_amzn2
2025-09-09T14:07:25.9130459Z + sudo yum remove -y nvidia-driver-latest-dkms
2025-09-09T14:07:26.2947597Z No match for argument: nvidia-driver-latest-dkms
2025-09-09T14:07:26.2948354Z No packages marked for removal.
2025-09-09T14:07:26.2987558Z Dependencies resolved.
2025-09-09T14:07:26.2996671Z Nothing to do.
2025-09-09T14:07:26.2997528Z Complete!
2025-09-09T14:07:26.3507305Z + install_nvidia_driver_common
2025-09-09T14:07:26.3510455Z + echo 'Before installing NVIDIA driver'
2025-09-09T14:07:26.3512599Z Before installing NVIDIA driver
2025-09-09T14:07:26.3514975Z + lspci
2025-09-09T14:07:26.3681423Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-09-09T14:07:26.3681985Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-09-09T14:07:26.3682524Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-09-09T14:07:26.3683407Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-09-09T14:07:26.3684216Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-09-09T14:07:26.3684857Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3685192Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3685511Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3685818Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3686105Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3686404Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3686699Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3686994Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3687298Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3687588Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3687898Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3688194Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3688485Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3688786Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3689088Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3689376Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3689669Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3689952Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3690244Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3690534Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3690823Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3691332Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3691630Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3691923Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3692232Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3692535Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3692785Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3693021Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3693261Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3693505Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3693741Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3693970Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3694206Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3694438Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3694678Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3694916Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3695154Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3695399Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3695630Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3695867Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3696119Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3696371Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3696604Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3696843Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3697073Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3697388Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-09-09T14:07:26.3697708Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3697945Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3698181Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3698486Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-09-09T14:07:26.3698892Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.3699163Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-09-09T14:07:26.3699424Z + lsmod
2025-09-09T14:07:26.3729833Z Module                  Size  Used by
2025-09-09T14:07:26.3730129Z veth                   36864  0
2025-09-09T14:07:26.3730372Z nvidia_modeset       1740800  0
2025-09-09T14:07:26.3730630Z video                  65536  1 nvidia_modeset
2025-09-09T14:07:26.3730911Z wmi                    36864  1 video
2025-09-09T14:07:26.3731161Z nvidia_uvm           1921024  0
2025-09-09T14:07:26.3731437Z nvidia              14274560  7 nvidia_uvm,nvidia_modeset
2025-09-09T14:07:26.3731825Z drm                   602112  1 nvidia
2025-09-09T14:07:26.3732322Z drm_panel_orientation_quirks    32768  1 drm
2025-09-09T14:07:26.3732903Z backlight              24576  3 video,drm,nvidia_modeset
2025-09-09T14:07:26.3733173Z i2c_core              110592  2 nvidia,drm
2025-09-09T14:07:26.3733394Z xt_conntrack           16384  1
2025-09-09T14:07:26.3733578Z nft_chain_nat          16384  3
2025-09-09T14:07:26.3733761Z xt_MASQUERADE          20480  1
2025-09-09T14:07:26.3733969Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-09-09T14:07:26.3734218Z nf_conntrack_netlink    57344  0
2025-09-09T14:07:26.3734512Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-09-09T14:07:26.3734834Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-09-09T14:07:26.3735065Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-09-09T14:07:26.3735267Z xfrm_user              57344  1
2025-09-09T14:07:26.3735457Z xfrm_algo              16384  1 xfrm_user
2025-09-09T14:07:26.3735656Z xt_addrtype            16384  2
2025-09-09T14:07:26.3735840Z nft_compat             20480  4
2025-09-09T14:07:26.3736185Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-09-09T14:07:26.3736522Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-09-09T14:07:26.3736825Z br_netfilter           36864  0
2025-09-09T14:07:26.3737027Z bridge                323584  1 br_netfilter
2025-09-09T14:07:26.3737252Z stp                    16384  1 bridge
2025-09-09T14:07:26.3737461Z llc                    16384  2 bridge,stp
2025-09-09T14:07:26.3737670Z overlay               167936  0
2025-09-09T14:07:26.3737845Z tls                   139264  0
2025-09-09T14:07:26.3738025Z nls_ascii              16384  1
2025-09-09T14:07:26.3738200Z nls_cp437              20480  1
2025-09-09T14:07:26.3738379Z vfat                   24576  1
2025-09-09T14:07:26.3738558Z fat                    86016  1 vfat
2025-09-09T14:07:26.3738745Z sunrpc                700416  1
2025-09-09T14:07:26.3738925Z ena                   180224  0
2025-09-09T14:07:26.3739089Z i8042                  45056  0
2025-09-09T14:07:26.3739273Z serio                  28672  3 i8042
2025-09-09T14:07:26.3739461Z button                 24576  0
2025-09-09T14:07:26.3739649Z ghash_clmulni_intel    16384  0
2025-09-09T14:07:26.3739831Z sch_fq_codel           20480  9
2025-09-09T14:07:26.3740009Z dm_mod                188416  0
2025-09-09T14:07:26.3740176Z fuse                  184320  1
2025-09-09T14:07:26.3740348Z loop                   36864  0
2025-09-09T14:07:26.3740521Z configfs               57344  1
2025-09-09T14:07:26.3740691Z dmi_sysfs              20480  0
2025-09-09T14:07:26.3740869Z crc32_pclmul           16384  0
2025-09-09T14:07:26.3741041Z crc32c_intel           24576  0
2025-09-09T14:07:26.3741228Z efivarfs               24576  1
2025-09-09T14:07:26.3741410Z + modinfo nvidia
2025-09-09T14:07:26.3750120Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-09-09T14:07:26.3750511Z import_ns:      DMA_BUF
2025-09-09T14:07:26.3750809Z alias:          char-major-195-*
2025-09-09T14:07:26.3751173Z version:        580.65.06
2025-09-09T14:07:26.3751478Z supported:      external
2025-09-09T14:07:26.3751800Z license:        Dual MIT/GPL
2025-09-09T14:07:26.3752314Z firmware:       nvidia/580.65.06/gsp_tu10x.bin
2025-09-09T14:07:26.3752732Z firmware:       nvidia/580.65.06/gsp_ga10x.bin
2025-09-09T14:07:26.3752994Z srcversion:     A69EBF72FC9D60E11E9A05C
2025-09-09T14:07:26.3753244Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-09-09T14:07:26.3753516Z alias:          of:N*T*Cnvidia,tegra264-display
2025-09-09T14:07:26.3753776Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-09-09T14:07:26.3754037Z alias:          of:N*T*Cnvidia,tegra234-display
2025-09-09T14:07:26.3754319Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-09-09T14:07:26.3754767Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-09-09T14:07:26.3755200Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-09-09T14:07:26.3755546Z depends:        i2c-core,drm
2025-09-09T14:07:26.3755741Z retpoline:      Y
2025-09-09T14:07:26.3755908Z name:           nvidia
2025-09-09T14:07:26.3756178Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-09-09T14:07:26.3756554Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-09-09T14:07:26.3756903Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-09-09T14:07:26.3757365Z parm:           NVreg_ResmanDebugLevel:int
2025-09-09T14:07:26.3757797Z parm:           NVreg_RmLogonRC:int
2025-09-09T14:07:26.3758091Z parm:           NVreg_ModifyDeviceFiles:int
2025-09-09T14:07:26.3758332Z parm:           NVreg_DeviceFileUID:int
2025-09-09T14:07:26.3758553Z parm:           NVreg_DeviceFileGID:int
2025-09-09T14:07:26.3758770Z parm:           NVreg_DeviceFileMode:int
2025-09-09T14:07:26.3759040Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-09-09T14:07:26.3759324Z parm:           NVreg_UsePageAttributeTable:int
2025-09-09T14:07:26.3759573Z parm:           NVreg_EnablePCIeGen3:int
2025-09-09T14:07:26.3759914Z parm:           NVreg_EnableMSI:int
2025-09-09T14:07:26.3760153Z parm:           NVreg_EnableStreamMemOPs:int
2025-09-09T14:07:26.3760422Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-09-09T14:07:26.3760714Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-09-09T14:07:26.3761208Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-09-09T14:07:26.3761753Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-09-09T14:07:26.3762280Z parm:           NVreg_DynamicPowerManagement:int
2025-09-09T14:07:26.3762607Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-09-09T14:07:26.3762944Z parm:           NVreg_EnableGpuFirmware:int
2025-09-09T14:07:26.3763326Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-09-09T14:07:26.3763598Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-09-09T14:07:26.3763877Z parm:           NVreg_EnableUserNUMAManagement:int
2025-09-09T14:07:26.3764137Z parm:           NVreg_MemoryPoolSize:int
2025-09-09T14:07:26.3764376Z parm:           NVreg_KMallocHeapMaxSize:int
2025-09-09T14:07:26.3764612Z parm:           NVreg_VMallocHeapMaxSize:int
2025-09-09T14:07:26.3764852Z parm:           NVreg_IgnoreMMIOCheck:int
2025-09-09T14:07:26.3765082Z parm:           NVreg_NvLinkDisable:int
2025-09-09T14:07:26.3765340Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-09-09T14:07:26.3765608Z parm:           NVreg_RegisterPCIDriver:int
2025-09-09T14:07:26.3765863Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-09-09T14:07:26.3766131Z parm:           NVreg_EnableResizableBar:int
2025-09-09T14:07:26.3766371Z parm:           NVreg_EnableDbgBreakpoint:int
2025-09-09T14:07:26.3766625Z parm:           NVreg_EnableNonblockingOpen:int
2025-09-09T14:07:26.3766882Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-09-09T14:07:26.3767135Z parm:           NVreg_RegistryDwords:charp
2025-09-09T14:07:26.3767376Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-09-09T14:07:26.3767643Z parm:           NVreg_RmMsg:charp
2025-09-09T14:07:26.3767860Z parm:           NVreg_GpuBlacklist:charp
2025-09-09T14:07:26.3768509Z parm:           NVreg_TemporaryFilePath:charp
2025-09-09T14:07:26.3768756Z parm:           NVreg_ExcludedGpus:charp
2025-09-09T14:07:26.3768982Z parm:           NVreg_DmaRemapPeerMmio:int
2025-09-09T14:07:26.3769217Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-09-09T14:07:26.3769469Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-09-09T14:07:26.3769725Z parm:           NVreg_ImexChannelCount:int
2025-09-09T14:07:26.3769953Z parm:           NVreg_CreateImexChannel0:int
2025-09-09T14:07:26.3770209Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-09-09T14:07:26.3770456Z parm:           rm_firmware_active:charp
2025-09-09T14:07:26.3770677Z + HAS_NVIDIA_DRIVER=0
2025-09-09T14:07:26.3770873Z ++ command -v nvidia-smi
2025-09-09T14:07:26.3771067Z + '[' -x /usr/bin/nvidia-smi ']'
2025-09-09T14:07:26.3771256Z + set +e
2025-09-09T14:07:26.3771483Z ++ nvidia-smi --query-gpu=driver_version --format=csv,noheader --id=0
2025-09-09T14:07:26.4012234Z + INSTALLED_DRIVER_VERSION=580.65.06
2025-09-09T14:07:26.4012768Z + NVIDIA_SMI_STATUS=0
2025-09-09T14:07:26.4013126Z + '[' 0 -ne 0 ']'
2025-09-09T14:07:26.4013464Z + '[' 580.65.06 '!=' 580.65.06 ']'
2025-09-09T14:07:26.4013889Z + HAS_NVIDIA_DRIVER=1
2025-09-09T14:07:26.4014616Z + echo 'NVIDIA driver (580.65.06) has already been installed. Skipping NVIDIA driver installation'
2025-09-09T14:07:26.4015333Z + set -e
2025-09-09T14:07:26.4015519Z + '[' 1 -eq 0 ']'
2025-09-09T14:07:26.4015911Z NVIDIA driver (580.65.06) has already been installed. Skipping NVIDIA driver installation
2025-09-09T14:07:26.4016355Z + post_install_nvidia_driver_common
2025-09-09T14:07:26.4018371Z + sudo modprobe nvidia
2025-09-09T14:07:26.5563675Z + echo 'After installing NVIDIA driver'
2025-09-09T14:07:26.5564109Z + lspci
2025-09-09T14:07:26.5564318Z After installing NVIDIA driver
2025-09-09T14:07:26.5733749Z 00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma]
2025-09-09T14:07:26.5734281Z 00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
2025-09-09T14:07:26.5734823Z 00:01.3 Non-VGA unclassified device: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 08)
2025-09-09T14:07:26.5735311Z 00:03.0 VGA compatible controller: Amazon.com, Inc. Device 1111
2025-09-09T14:07:26.5735935Z 00:04.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe EBS Controller
2025-09-09T14:07:26.5736665Z 01:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5737011Z 02:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5737316Z 03:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5737626Z 03:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5737932Z 03:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5738233Z 03:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5738532Z 03:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5738863Z 03:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5739175Z 03:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5739480Z 03:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5739786Z 03:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5740107Z 03:01.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5740423Z 03:01.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5740721Z 03:01.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5741022Z 03:01.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5741322Z 03:01.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5741615Z 03:01.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5741915Z 03:01.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5742207Z 03:02.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5742510Z 03:02.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5742818Z 03:02.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5743121Z 03:02.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5743543Z 03:02.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5743791Z 03:02.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5744036Z 03:02.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5744272Z 03:02.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5744520Z 03:03.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5744756Z 03:03.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5745000Z 03:03.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5745244Z 03:03.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5745501Z 03:03.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5745740Z 03:03.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5745980Z 03:03.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5746224Z 03:03.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5746457Z 24:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5746717Z 25:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5746972Z 26:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5747217Z 26:00.1 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5747451Z 26:00.2 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5747703Z 26:00.3 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5747944Z 26:00.4 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5748185Z 26:00.5 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5748423Z 26:00.6 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5748655Z 26:00.7 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5748896Z 26:01.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5749207Z 27:00.0 Ethernet controller: Amazon.com, Inc. Elastic Network Adapter (ENA)
2025-09-09T14:07:26.5749626Z 30:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5749869Z 31:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5750115Z 32:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5750427Z 33:00.0 Non-Volatile memory controller: Amazon.com, Inc. NVMe SSD Controller
2025-09-09T14:07:26.5750747Z 34:00.0 PCI bridge: Amazon.com, Inc. Device 0200
2025-09-09T14:07:26.5751028Z 35:00.0 3D controller: NVIDIA Corporation AD104GL [L4] (rev a1)
2025-09-09T14:07:26.5751283Z + lsmod
2025-09-09T14:07:26.5769400Z Module                  Size  Used by
2025-09-09T14:07:26.5769694Z veth                   36864  0
2025-09-09T14:07:26.5769939Z nvidia_modeset       1740800  0
2025-09-09T14:07:26.5770204Z video                  65536  1 nvidia_modeset
2025-09-09T14:07:26.5770482Z wmi                    36864  1 video
2025-09-09T14:07:26.5770900Z nvidia_uvm           1921024  0
2025-09-09T14:07:26.5771388Z nvidia              14274560  7 nvidia_uvm,nvidia_modeset
2025-09-09T14:07:26.5771798Z drm                   602112  1 nvidia
2025-09-09T14:07:26.5772075Z drm_panel_orientation_quirks    32768  1 drm
2025-09-09T14:07:26.5772420Z backlight              24576  3 video,drm,nvidia_modeset
2025-09-09T14:07:26.5772734Z i2c_core              110592  2 nvidia,drm
2025-09-09T14:07:26.5773003Z xt_conntrack           16384  1
2025-09-09T14:07:26.5773241Z nft_chain_nat          16384  3
2025-09-09T14:07:26.5773433Z xt_MASQUERADE          20480  1
2025-09-09T14:07:26.5773647Z nf_nat                 57344  2 nft_chain_nat,xt_MASQUERADE
2025-09-09T14:07:26.5773900Z nf_conntrack_netlink    57344  0
2025-09-09T14:07:26.5774200Z nf_conntrack          184320  4 xt_conntrack,nf_nat,nf_conntrack_netlink,xt_MASQUERADE
2025-09-09T14:07:26.5774521Z nf_defrag_ipv6         24576  1 nf_conntrack
2025-09-09T14:07:26.5774759Z nf_defrag_ipv4         16384  1 nf_conntrack
2025-09-09T14:07:26.5774976Z xfrm_user              57344  1
2025-09-09T14:07:26.5775174Z xfrm_algo              16384  1 xfrm_user
2025-09-09T14:07:26.5775392Z xt_addrtype            16384  2
2025-09-09T14:07:26.5775579Z nft_compat             20480  4
2025-09-09T14:07:26.5775824Z nf_tables             311296  57 nft_compat,nft_chain_nat
2025-09-09T14:07:26.5776310Z nfnetlink              20480  4 nft_compat,nf_conntrack_netlink,nf_tables
2025-09-09T14:07:26.5776592Z br_netfilter           36864  0
2025-09-09T14:07:26.5776791Z bridge                323584  1 br_netfilter
2025-09-09T14:07:26.5777013Z stp                    16384  1 bridge
2025-09-09T14:07:26.5777217Z llc                    16384  2 bridge,stp
2025-09-09T14:07:26.5777426Z overlay               167936  0
2025-09-09T14:07:26.5777602Z tls                   139264  0
2025-09-09T14:07:26.5777771Z nls_ascii              16384  1
2025-09-09T14:07:26.5777948Z nls_cp437              20480  1
2025-09-09T14:07:26.5778116Z vfat                   24576  1
2025-09-09T14:07:26.5778291Z fat                    86016  1 vfat
2025-09-09T14:07:26.5778479Z sunrpc                700416  1
2025-09-09T14:07:26.5778656Z ena                   180224  0
2025-09-09T14:07:26.5778819Z i8042                  45056  0
2025-09-09T14:07:26.5779013Z serio                  28672  3 i8042
2025-09-09T14:07:26.5779206Z button                 24576  0
2025-09-09T14:07:26.5779388Z ghash_clmulni_intel    16384  0
2025-09-09T14:07:26.5779578Z sch_fq_codel           20480  9
2025-09-09T14:07:26.5779749Z dm_mod                188416  0
2025-09-09T14:07:26.5779924Z fuse                  184320  1
2025-09-09T14:07:26.5780090Z loop                   36864  0
2025-09-09T14:07:26.5780269Z configfs               57344  1
2025-09-09T14:07:26.5780443Z dmi_sysfs              20480  0
2025-09-09T14:07:26.5780617Z crc32_pclmul           16384  0
2025-09-09T14:07:26.5780789Z crc32c_intel           24576  0
2025-09-09T14:07:26.5780962Z efivarfs               24576  1
2025-09-09T14:07:26.5781139Z + modinfo nvidia
2025-09-09T14:07:26.5787897Z filename:       /lib/modules/6.1.141-155.222.amzn2023.x86_64/kernel/drivers/video/nvidia.ko
2025-09-09T14:07:26.5788433Z import_ns:      DMA_BUF
2025-09-09T14:07:26.5788635Z alias:          char-major-195-*
2025-09-09T14:07:26.5788840Z version:        580.65.06
2025-09-09T14:07:26.5789030Z supported:      external
2025-09-09T14:07:26.5789204Z license:        Dual MIT/GPL
2025-09-09T14:07:26.5789416Z firmware:       nvidia/580.65.06/gsp_tu10x.bin
2025-09-09T14:07:26.5789658Z firmware:       nvidia/580.65.06/gsp_ga10x.bin
2025-09-09T14:07:26.5789894Z srcversion:     A69EBF72FC9D60E11E9A05C
2025-09-09T14:07:26.5790135Z alias:          of:N*T*Cnvidia,tegra264-displayC*
2025-09-09T14:07:26.5790394Z alias:          of:N*T*Cnvidia,tegra264-display
2025-09-09T14:07:26.5790646Z alias:          of:N*T*Cnvidia,tegra234-displayC*
2025-09-09T14:07:26.5790896Z alias:          of:N*T*Cnvidia,tegra234-display
2025-09-09T14:07:26.5791141Z alias:          pci:v000010DEd*sv*sd*bc06sc80i00*
2025-09-09T14:07:26.5791378Z alias:          pci:v000010DEd*sv*sd*bc03sc02i00*
2025-09-09T14:07:26.5791712Z alias:          pci:v000010DEd*sv*sd*bc03sc00i00*
2025-09-09T14:07:26.5792132Z depends:        i2c-core,drm
2025-09-09T14:07:26.5792478Z retpoline:      Y
2025-09-09T14:07:26.5792744Z name:           nvidia
2025-09-09T14:07:26.5793038Z vermagic:       6.1.141-155.222.amzn2023.x86_64 SMP preempt mod_unload modversions 
2025-09-09T14:07:26.5793406Z parm:           NvSwitchRegDwords:NvSwitch regkey (charp)
2025-09-09T14:07:26.5793741Z parm:           NvSwitchBlacklist:NvSwitchBlacklist=uuid[,uuid...] (charp)
2025-09-09T14:07:26.5794050Z parm:           NVreg_ResmanDebugLevel:int
2025-09-09T14:07:26.5794271Z parm:           NVreg_RmLogonRC:int
2025-09-09T14:07:26.5794509Z parm:           NVreg_ModifyDeviceFiles:int
2025-09-09T14:07:26.5794746Z parm:           NVreg_DeviceFileUID:int
2025-09-09T14:07:26.5794972Z parm:           NVreg_DeviceFileGID:int
2025-09-09T14:07:26.5795191Z parm:           NVreg_DeviceFileMode:int
2025-09-09T14:07:26.5795459Z parm:           NVreg_InitializeSystemMemoryAllocations:int
2025-09-09T14:07:26.5795746Z parm:           NVreg_UsePageAttributeTable:int
2025-09-09T14:07:26.5795990Z parm:           NVreg_EnablePCIeGen3:int
2025-09-09T14:07:26.5796208Z parm:           NVreg_EnableMSI:int
2025-09-09T14:07:26.5796543Z parm:           NVreg_EnableStreamMemOPs:int
2025-09-09T14:07:26.5796814Z parm:           NVreg_RestrictProfilingToAdminUsers:int
2025-09-09T14:07:26.5797116Z parm:           NVreg_PreserveVideoMemoryAllocations:int
2025-09-09T14:07:26.5797402Z parm:           NVreg_EnableS0ixPowerManagement:int
2025-09-09T14:07:26.5797708Z parm:           NVreg_S0ixPowerManagementVideoMemoryThreshold:int
2025-09-09T14:07:26.5798010Z parm:           NVreg_DynamicPowerManagement:int
2025-09-09T14:07:26.5798325Z parm:           NVreg_DynamicPowerManagementVideoMemoryThreshold:int
2025-09-09T14:07:26.5798627Z parm:           NVreg_EnableGpuFirmware:int
2025-09-09T14:07:26.5809861Z parm:           NVreg_EnableGpuFirmwareLogs:int
2025-09-09T14:07:26.5810227Z parm:           NVreg_OpenRmEnableUnsupportedGpus:int
2025-09-09T14:07:26.5810535Z parm:           NVreg_EnableUserNUMAManagement:int
2025-09-09T14:07:26.5810798Z parm:           NVreg_MemoryPoolSize:int
2025-09-09T14:07:26.5811057Z parm:           NVreg_KMallocHeapMaxSize:int
2025-09-09T14:07:26.5811306Z parm:           NVreg_VMallocHeapMaxSize:int
2025-09-09T14:07:26.5811547Z parm:           NVreg_IgnoreMMIOCheck:int
2025-09-09T14:07:26.5811772Z parm:           NVreg_NvLinkDisable:int
2025-09-09T14:07:26.5812031Z parm:           NVreg_EnablePCIERelaxedOrderingMode:int
2025-09-09T14:07:26.5812302Z parm:           NVreg_RegisterPCIDriver:int
2025-09-09T14:07:26.5812580Z parm:           NVreg_RegisterPlatformDeviceDriver:int
2025-09-09T14:07:26.5812850Z parm:           NVreg_EnableResizableBar:int
2025-09-09T14:07:26.5813091Z parm:           NVreg_EnableDbgBreakpoint:int
2025-09-09T14:07:26.5813351Z parm:           NVreg_EnableNonblockingOpen:int
2025-09-09T14:07:26.5813605Z parm:           NVreg_CoherentGPUMemoryMode:charp
2025-09-09T14:07:26.5813859Z parm:           NVreg_RegistryDwords:charp
2025-09-09T14:07:26.5814236Z parm:           NVreg_RegistryDwordsPerDevice:charp
2025-09-09T14:07:26.5814491Z parm:           NVreg_RmMsg:charp
2025-09-09T14:07:26.5814703Z parm:           NVreg_GpuBlacklist:charp
2025-09-09T14:07:26.5814936Z parm:           NVreg_TemporaryFilePath:charp
2025-09-09T14:07:26.5815170Z parm:           NVreg_ExcludedGpus:charp
2025-09-09T14:07:26.5815394Z parm:           NVreg_DmaRemapPeerMmio:int
2025-09-09T14:07:26.5815644Z parm:           NVreg_RmNvlinkBandwidth:charp
2025-09-09T14:07:26.5815905Z parm:           NVreg_RmNvlinkBandwidthLinkCount:int
2025-09-09T14:07:26.5816162Z parm:           NVreg_ImexChannelCount:int
2025-09-09T14:07:26.5816390Z parm:           NVreg_CreateImexChannel0:int
2025-09-09T14:07:26.5816638Z parm:           NVreg_GrdmaPciTopoCheckOverride:int
2025-09-09T14:07:26.5816882Z parm:           rm_firmware_active:charp
2025-09-09T14:07:26.5817164Z + set +e
2025-09-09T14:07:26.5817303Z + nvidia-smi
2025-09-09T14:07:26.5952718Z Tue Sep  9 14:07:26 2025       
2025-09-09T14:07:26.5953458Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:07:26.5954141Z | NVIDIA-SMI 580.65.06              Driver Version: 580.65.06      CUDA Version: 13.0     |
2025-09-09T14:07:26.5954513Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:07:26.5954889Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-09-09T14:07:26.5955282Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-09-09T14:07:26.5955589Z |                                         |                        |               MIG M. |
2025-09-09T14:07:26.5955817Z |=========================================+========================+======================|
2025-09-09T14:07:26.6063119Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-09-09T14:07:26.6063557Z | N/A   33C    P8             16W /   72W |       0MiB /  23034MiB |      0%      Default |
2025-09-09T14:07:26.6063902Z |                                         |                        |                  N/A |
2025-09-09T14:07:26.6065088Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:07:26.6066875Z 
2025-09-09T14:07:26.6067338Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:07:26.6067786Z | Processes:                                                                              |
2025-09-09T14:07:26.6068214Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-09-09T14:07:26.6068977Z |        ID   ID                                                               Usage      |
2025-09-09T14:07:26.6069431Z |=========================================================================================|
2025-09-09T14:07:26.6072056Z |  No running processes found                                                             |
2025-09-09T14:07:26.6072505Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:07:26.8462282Z + nvidia-smi --query-gpu=gpu_name --format=csv,noheader --id=0
2025-09-09T14:07:26.8621926Z NVIDIA L4
2025-09-09T14:07:26.8657875Z + NVIDIA_SMI_STATUS=0
2025-09-09T14:07:26.8658305Z + '[' 0 -eq 0 ']'
2025-09-09T14:07:26.8658630Z + echo 'INFO: Ignoring allowed status 0'
2025-09-09T14:07:26.8658902Z + set -e
2025-09-09T14:07:26.8659111Z INFO: Ignoring allowed status 0
2025-09-09T14:07:26.8665854Z == Installing nvidia container toolkit for amzn2023 ==
2025-09-09T14:07:26.8670156Z + sudo yum install -y yum-utils
2025-09-09T14:07:27.3315858Z Last metadata expiration check: 0:03:08 ago on Tue Sep  9 14:04:19 2025.
2025-09-09T14:07:27.3514241Z Package dnf-utils-4.3.0-13.amzn2023.0.5.noarch is already installed.
2025-09-09T14:07:27.3847844Z Dependencies resolved.
2025-09-09T14:07:27.4030374Z Nothing to do.
2025-09-09T14:07:27.4031223Z Complete!
2025-09-09T14:07:27.4781361Z + [[ amzn2023 == \a\m\z\n\2\0\2\3 ]]
2025-09-09T14:07:27.4781999Z + YUM_REPO_URL=https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-09-09T14:07:27.4782867Z + sudo yum-config-manager --add-repo https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-09-09T14:07:27.8003065Z Adding repo from: https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo
2025-09-09T14:07:27.8543563Z + sudo yum install -y nvidia-container-toolkit-1.17.8 libnvidia-container-tools-1.17.8 libnvidia-container1-1.17.8 nvidia-container-toolkit-base-1.17.8
2025-09-09T14:07:28.3413049Z nvidia-container-toolkit                         26 kB/s | 833  B     00:00    
2025-09-09T14:07:28.3609603Z Package nvidia-container-toolkit-1.17.8-1.x86_64 is already installed.
2025-09-09T14:07:28.3614020Z Package libnvidia-container-tools-1.17.8-1.x86_64 is already installed.
2025-09-09T14:07:28.3617454Z Package libnvidia-container1-1.17.8-1.x86_64 is already installed.
2025-09-09T14:07:28.3622721Z Package nvidia-container-toolkit-base-1.17.8-1.x86_64 is already installed.
2025-09-09T14:07:28.3953365Z Dependencies resolved.
2025-09-09T14:07:28.4134222Z Nothing to do.
2025-09-09T14:07:28.4134854Z Complete!
2025-09-09T14:07:28.4857454Z + sudo systemctl restart docker
2025-09-09T14:08:42.1535086Z nvidia-persistenced failed to initialize. Check syslog for more details.
2025-09-09T14:08:42.1720003Z Tue Sep  9 14:08:42 2025       
2025-09-09T14:08:42.1720436Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:08:42.1721097Z | NVIDIA-SMI 580.65.06              Driver Version: 580.65.06      CUDA Version: 13.0     |
2025-09-09T14:08:42.1721590Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:08:42.1722095Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-09-09T14:08:42.1722655Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-09-09T14:08:42.1723180Z |                                         |                        |               MIG M. |
2025-09-09T14:08:42.1723908Z |=========================================+========================+======================|
2025-09-09T14:08:42.1825975Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-09-09T14:08:42.1826433Z | N/A   29C    P8             12W /   72W |       0MiB /  23034MiB |      0%      Default |
2025-09-09T14:08:42.1826825Z |                                         |                        |                  N/A |
2025-09-09T14:08:42.1827210Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:08:42.1829512Z 
2025-09-09T14:08:42.1829789Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:08:42.1830266Z | Processes:                                                                              |
2025-09-09T14:08:42.1830723Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-09-09T14:08:42.1831155Z |        ID   ID                                                               Usage      |
2025-09-09T14:08:42.1831494Z |=========================================================================================|
2025-09-09T14:08:42.1834891Z |  No running processes found                                                             |
2025-09-09T14:08:42.1835388Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:08:42.4255659Z Unable to find image 'public.ecr.aws/docker/library/python:3.13' locally
2025-09-09T14:08:42.6801677Z 3.13: Pulling from docker/library/python
2025-09-09T14:08:42.7940082Z 15b1d8a5ff03: Pulling fs layer
2025-09-09T14:08:42.7940368Z 22718812f617: Pulling fs layer
2025-09-09T14:08:42.7940583Z 401a98f7495b: Pulling fs layer
2025-09-09T14:08:42.7941157Z ad446e7df19a: Pulling fs layer
2025-09-09T14:08:42.7941407Z 5d32990caa16: Pulling fs layer
2025-09-09T14:08:42.7941623Z a79d633abf9a: Pulling fs layer
2025-09-09T14:08:42.7941810Z 249a56c8e466: Pulling fs layer
2025-09-09T14:08:42.7941985Z 5d32990caa16: Waiting
2025-09-09T14:08:42.7942162Z a79d633abf9a: Waiting
2025-09-09T14:08:42.7942332Z ad446e7df19a: Waiting
2025-09-09T14:08:42.7942485Z 249a56c8e466: Waiting
2025-09-09T14:08:42.9494460Z 22718812f617: Verifying Checksum
2025-09-09T14:08:42.9494928Z 22718812f617: Download complete
2025-09-09T14:08:42.9695216Z 15b1d8a5ff03: Verifying Checksum
2025-09-09T14:08:42.9695649Z 15b1d8a5ff03: Download complete
2025-09-09T14:08:43.0375589Z 5d32990caa16: Verifying Checksum
2025-09-09T14:08:43.0376068Z 5d32990caa16: Download complete
2025-09-09T14:08:43.0459404Z 401a98f7495b: Verifying Checksum
2025-09-09T14:08:43.0459756Z 401a98f7495b: Download complete
2025-09-09T14:08:43.0946011Z 249a56c8e466: Verifying Checksum
2025-09-09T14:08:43.0946406Z 249a56c8e466: Download complete
2025-09-09T14:08:43.1637873Z a79d633abf9a: Verifying Checksum
2025-09-09T14:08:43.1638344Z a79d633abf9a: Download complete
2025-09-09T14:08:43.8074900Z ad446e7df19a: Verifying Checksum
2025-09-09T14:08:43.8075188Z ad446e7df19a: Download complete
2025-09-09T14:08:44.2884908Z 15b1d8a5ff03: Pull complete
2025-09-09T14:08:44.8064493Z 22718812f617: Pull complete
2025-09-09T14:08:46.5700637Z 401a98f7495b: Pull complete
2025-09-09T14:08:51.2818470Z ad446e7df19a: Pull complete
2025-09-09T14:08:51.4966767Z 5d32990caa16: Pull complete
2025-09-09T14:08:52.0632813Z a79d633abf9a: Pull complete
2025-09-09T14:08:52.0873231Z 249a56c8e466: Pull complete
2025-09-09T14:08:52.1036433Z Digest: sha256:74503e0bff6cf811f029590a05e0218cc9ba3e099a4b7df0ab84a67df081e1bc
2025-09-09T14:08:52.1102134Z Status: Downloaded newer image for public.ecr.aws/docker/library/python:3.13
2025-09-09T14:09:01.0457414Z Tue Sep  9 14:09:01 2025       
2025-09-09T14:09:01.0457774Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:09:01.0458178Z | NVIDIA-SMI 580.65.06              Driver Version: 580.65.06      CUDA Version: 13.0     |
2025-09-09T14:09:01.0458804Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:09:01.0459193Z | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |
2025-09-09T14:09:01.0459593Z | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
2025-09-09T14:09:01.0459920Z |                                         |                        |               MIG M. |
2025-09-09T14:09:01.0460159Z |=========================================+========================+======================|
2025-09-09T14:09:01.0565030Z |   0  NVIDIA L4                      On  |   00000000:35:00.0 Off |                    0 |
2025-09-09T14:09:01.0565508Z | N/A   29C    P8             11W /   72W |       0MiB /  23034MiB |      0%      Default |
2025-09-09T14:09:01.0565920Z |                                         |                        |                  N/A |
2025-09-09T14:09:01.0566411Z +-----------------------------------------+------------------------+----------------------+
2025-09-09T14:09:01.0568617Z 
2025-09-09T14:09:01.0568861Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:09:01.0569278Z | Processes:                                                                              |
2025-09-09T14:09:01.0569704Z |  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
2025-09-09T14:09:01.0570103Z |        ID   ID                                                               Usage      |
2025-09-09T14:09:01.0570400Z |=========================================================================================|
2025-09-09T14:09:01.0573454Z |  No running processes found                                                             |
2025-09-09T14:09:01.0574064Z +-----------------------------------------------------------------------------------------+
2025-09-09T14:09:01.9760332Z Command completed after 1 attempt(s).
2025-09-09T14:09:01.9856612Z ##[group]Run set -ex
2025-09-09T14:09:01.9856863Z set -ex
2025-09-09T14:09:01.9857023Z {
2025-09-09T14:09:01.9857186Z   echo "#!/usr/bin/env bash";
2025-09-09T14:09:01.9857418Z   echo "set -eou pipefail";
2025-09-09T14:09:01.9857651Z   # shellcheck disable=SC2016
2025-09-09T14:09:01.9857898Z   echo 'eval "$(conda shell.bash hook)"';
2025-09-09T14:09:01.9858135Z   echo "set -x";
2025-09-09T14:09:01.9858326Z   echo "${SCRIPT}";
2025-09-09T14:09:01.9858532Z } > "${RUNNER_TEMP}/exec_script"
2025-09-09T14:09:01.9858785Z chmod +x "${RUNNER_TEMP}/exec_script"
2025-09-09T14:09:01.9859246Z python3 "/home/ec2-user/actions-runner/_work/ao/ao/test-infra/.github/scripts/run_with_env_secrets.py" ""
2025-09-09T14:09:01.9871193Z shell: /usr/bin/bash -e {0}
2025-09-09T14:09:01.9871397Z env:
2025-09-09T14:09:01.9871597Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:09:01.9871887Z   REPOSITORY: pytorch/ao
2025-09-09T14:09:01.9872069Z   PR_NUMBER: 2963
2025-09-09T14:09:01.9873603Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:09:01.9875222Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:09:01.9875643Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:09:01.9876032Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:09:01.9876360Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:09:01.9877013Z   ALL_SECRETS: {
  "github_token": "***"
}
2025-09-09T14:09:01.9877238Z ##[endgroup]
2025-09-09T14:09:01.9911281Z + echo '#!/usr/bin/env bash'
2025-09-09T14:09:01.9911514Z + echo 'set -eou pipefail'
2025-09-09T14:09:01.9911726Z + echo 'eval "$(conda shell.bash hook)"'
2025-09-09T14:09:01.9911937Z + echo 'set -x'
2025-09-09T14:09:01.9912132Z + echo 'conda create -n venv python=3.9 -y
2025-09-09T14:09:01.9912352Z conda activate venv
2025-09-09T14:09:01.9912586Z export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
2025-09-09T14:09:01.9912852Z python -m pip install --upgrade pip
2025-09-09T14:09:01.9913058Z pip install uv
2025-09-09T14:09:01.9913358Z pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
2025-09-09T14:09:01.9913731Z uv pip install -r dev-requirements.txt
2025-09-09T14:09:01.9913957Z pip install .
2025-09-09T14:09:01.9914127Z pytest test/integration --verbose -s
2025-09-09T14:09:01.9914426Z pytest test/dtypes/test_affine_quantized_float.py --verbose -s
2025-09-09T14:09:01.9914747Z ./test/float8/test_everything_single_gpu.sh
2025-09-09T14:09:01.9915077Z python test/quantization/quantize_/workflows/float8/test_float8_tensor.py
2025-09-09T14:09:01.9915375Z '
2025-09-09T14:09:01.9915586Z + chmod +x /home/ec2-user/actions-runner/_work/_temp/exec_script
2025-09-09T14:09:01.9926552Z + python3 /home/ec2-user/actions-runner/_work/ao/ao/test-infra/.github/scripts/run_with_env_secrets.py ''
2025-09-09T14:09:07.2453112Z Running command: 
2025-09-09T14:09:07.2459023Z         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_17585175178"             `# It is unknown why the container sees a different value for this.`             -e GITHUB_STEP_SUMMARY             -e SECRET_GITHUB_TOKEN             --cap-add=SYS_PTRACE             --detach             --ipc=host             --security-opt seccomp=unconfined             --shm-size=2g             --tty             --ulimit stack=10485760:83886080             --ulimit core=0             --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all             -v "/home/ec2-user/actions-runner/_work/ao/ao/pytorch/ao:/pytorch/ao"             -v "/home/ec2-user/actions-runner/_work/ao/ao/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_e343eec7-96d2-4a8c-9073-053ba20e9265":"/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_e343eec7-96d2-4a8c-9073-053ba20e9265"             -w /pytorch/ao             "pytorch/almalinux-builder:cuda12.6"
2025-09-09T14:09:07.2465387Z         
2025-09-09T14:09:07.2465641Z ad959153ad1bf2a6a92c24737285d6e9b7d596a4af181e42d0581e5756016dbe
2025-09-09T14:09:07.2466120Z Running command: docker exec -t ad959153ad1bf2a6a92c24737285d6e9b7d596a4af181e42d0581e5756016dbe /exec
2025-09-09T14:09:07.2466523Z + conda create -n venv python=3.9 -y
2025-09-09T14:09:07.2466737Z + local cmd=create
2025-09-09T14:09:07.2466899Z + case "$cmd" in
2025-09-09T14:09:07.2467078Z + __conda_exe create -n venv python=3.9 -y
2025-09-09T14:09:07.2467342Z + /opt/conda/bin/conda create -n venv python=3.9 -y
2025-09-09T14:09:07.2468463Z Collecting package metadata (current_repodata.json): - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-09-09T14:09:07.2469292Z Solving environment: - done
2025-09-09T14:09:07.2469441Z 
2025-09-09T14:09:07.2469451Z 
2025-09-09T14:09:07.2469553Z ==> WARNING: A newer version of conda exists. <==
2025-09-09T14:09:07.2470108Z   current version: 23.5.2
2025-09-09T14:09:07.2470294Z   latest version: 25.7.0
2025-09-09T14:09:07.2470405Z 
2025-09-09T14:09:07.2470485Z Please update conda by running
2025-09-09T14:09:07.2470621Z 
2025-09-09T14:09:07.2470708Z     $ conda update -n base -c defaults conda
2025-09-09T14:09:07.2470969Z 
2025-09-09T14:09:07.2471289Z Or to minimize the number of packages updated during conda update use
2025-09-09T14:09:07.2471697Z 
2025-09-09T14:09:07.2471824Z      conda install conda=25.7.0
2025-09-09T14:09:07.2472063Z 
2025-09-09T14:09:07.2472068Z 
2025-09-09T14:09:07.2472073Z 
2025-09-09T14:09:07.2472192Z ## Package Plan ##
2025-09-09T14:09:07.2472371Z 
2025-09-09T14:09:07.2472539Z   environment location: /opt/conda/envs/venv
2025-09-09T14:09:07.2472836Z 
2025-09-09T14:09:07.2472960Z   added / updated specs:
2025-09-09T14:09:07.2473258Z     - python=3.9
2025-09-09T14:09:07.2473358Z 
2025-09-09T14:09:07.2473361Z 
2025-09-09T14:09:07.2473450Z The following packages will be downloaded:
2025-09-09T14:09:07.2473626Z 
2025-09-09T14:09:07.2473716Z     package                    |            build
2025-09-09T14:09:07.2473964Z     ---------------------------|-----------------
2025-09-09T14:09:07.2474234Z     bzip2-1.0.8                |       h5eee18b_6         262 KB
2025-09-09T14:09:07.2474571Z     ld_impl_linux-64-2.40      |       h12ee557_0         710 KB
2025-09-09T14:09:07.2475056Z     libffi-3.4.4               |       h6a678d5_1         141 KB
2025-09-09T14:09:07.2475555Z     libxcb-1.17.0              |       h9b100fa_0         430 KB
2025-09-09T14:09:07.2476040Z     ncurses-6.5                |       h7934f7d_0         1.1 MB
2025-09-09T14:09:07.2476517Z     pip-25.2                   |     pyhc872135_0         1.2 MB
2025-09-09T14:09:07.2476935Z     pthread-stubs-0.3          |       h0ce48e5_1           5 KB
2025-09-09T14:09:07.2477461Z     python-3.9.23              |       he99959a_0        24.7 MB
2025-09-09T14:09:07.2477974Z     readline-8.3               |       hc2a1206_0         471 KB
2025-09-09T14:09:07.2478739Z     setuptools-78.1.1          |   py39h06a4308_0         1.7 MB
2025-09-09T14:09:07.2479255Z     sqlite-3.50.2              |       hb25bd0a_1         1.1 MB
2025-09-09T14:09:07.2479723Z     tk-8.6.15                  |       h54e0aa7_0         3.4 MB
2025-09-09T14:09:07.2480195Z     tzdata-2025b               |       h04d1e81_0         116 KB
2025-09-09T14:09:07.2480677Z     wheel-0.45.1               |   py39h06a4308_0         114 KB
2025-09-09T14:09:07.2481175Z     xorg-libx11-1.8.12         |       h9b100fa_1         895 KB
2025-09-09T14:09:07.2481712Z     xorg-libxau-1.0.12         |       h9b100fa_0          13 KB
2025-09-09T14:09:07.2482203Z     xorg-libxdmcp-1.1.5        |       h9b100fa_0          19 KB
2025-09-09T14:09:07.2482694Z     xorg-xorgproto-2024.1      |       h5eee18b_1         580 KB
2025-09-09T14:09:07.2482983Z     xz-5.6.4                   |       h5eee18b_1         567 KB
2025-09-09T14:09:07.2483241Z     zlib-1.2.13                |       h5eee18b_1         111 KB
2025-09-09T14:09:07.2483527Z     ------------------------------------------------------------
2025-09-09T14:09:07.2483932Z                                            Total:        37.6 MB
2025-09-09T14:09:07.2484205Z 
2025-09-09T14:09:07.2484357Z The following NEW packages will be INSTALLED:
2025-09-09T14:09:07.2484630Z 
2025-09-09T14:09:07.2484882Z   _libgcc_mutex      pkgs/main/linux-64::_libgcc_mutex-0.1-main 
2025-09-09T14:09:07.2485343Z   _openmp_mutex      pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu 
2025-09-09T14:09:07.2485801Z   bzip2              pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6 
2025-09-09T14:09:07.2486464Z   ca-certificates    pkgs/main/linux-64::ca-certificates-2025.7.15-h06a4308_0 
2025-09-09T14:09:07.2487134Z   expat              pkgs/main/linux-64::expat-2.7.1-h6a678d5_0 
2025-09-09T14:09:07.2487758Z   ld_impl_linux-64   pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0 
2025-09-09T14:09:07.2488386Z   libffi             pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1 
2025-09-09T14:09:07.2489118Z   libgcc-ng          pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1 
2025-09-09T14:09:07.2489711Z   libgomp            pkgs/main/linux-64::libgomp-11.2.0-h1234567_1 
2025-09-09T14:09:07.2490319Z   libstdcxx-ng       pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1 
2025-09-09T14:09:07.2490673Z   libxcb             pkgs/main/linux-64::libxcb-1.17.0-h9b100fa_0 
2025-09-09T14:09:07.2490980Z   ncurses            pkgs/main/linux-64::ncurses-6.5-h7934f7d_0 
2025-09-09T14:09:07.2491284Z   openssl            pkgs/main/linux-64::openssl-3.0.17-h5eee18b_0 
2025-09-09T14:09:07.2491587Z   pip                pkgs/main/noarch::pip-25.2-pyhc872135_0 
2025-09-09T14:09:07.2491920Z   pthread-stubs      pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 
2025-09-09T14:09:07.2492391Z   python             pkgs/main/linux-64::python-3.9.23-he99959a_0 
2025-09-09T14:09:07.2492923Z   readline           pkgs/main/linux-64::readline-8.3-hc2a1206_0 
2025-09-09T14:09:07.2493548Z   setuptools         pkgs/main/linux-64::setuptools-78.1.1-py39h06a4308_0 
2025-09-09T14:09:07.2493981Z   sqlite             pkgs/main/linux-64::sqlite-3.50.2-hb25bd0a_1 
2025-09-09T14:09:07.2494394Z   tk                 pkgs/main/linux-64::tk-8.6.15-h54e0aa7_0 
2025-09-09T14:09:07.2494861Z   tzdata             pkgs/main/noarch::tzdata-2025b-h04d1e81_0 
2025-09-09T14:09:07.2495302Z   wheel              pkgs/main/linux-64::wheel-0.45.1-py39h06a4308_0 
2025-09-09T14:09:07.2495892Z   xorg-libx11        pkgs/main/linux-64::xorg-libx11-1.8.12-h9b100fa_1 
2025-09-09T14:09:07.2496497Z   xorg-libxau        pkgs/main/linux-64::xorg-libxau-1.0.12-h9b100fa_0 
2025-09-09T14:09:07.2497163Z   xorg-libxdmcp      pkgs/main/linux-64::xorg-libxdmcp-1.1.5-h9b100fa_0 
2025-09-09T14:09:07.2497703Z   xorg-xorgproto     pkgs/main/linux-64::xorg-xorgproto-2024.1-h5eee18b_1 
2025-09-09T14:09:07.2498027Z   xz                 pkgs/main/linux-64::xz-5.6.4-h5eee18b_1 
2025-09-09T14:09:07.2498290Z   zlib               pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1 
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2025-09-09T14:09:07.2498596Z 
2025-09-09T14:09:07.2498601Z 
2025-09-09T14:09:07.2498739Z Downloading and Extracting Packages
2025-09-09T14:09:07.2498994Z 
2025-09-09T14:09:07.2499150Z tk-8.6.15            | 3.4 MB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2499814Z python-3.9.23        | 24.7 MB   | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2500473Z readline-8.3         | 471 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2501038Z libffi-3.4.4         | 141 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2501709Z xorg-libx11-1.8.12   | 895 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2502324Z pthread-stubs-0.3    | 5 KB      | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2503068Z xorg-libxdmcp-1.1.5  | 19 KB     | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2503846Z sqlite-3.50.2        | 1.1 MB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2504829Z libxcb-1.17.0        | 430 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2505348Z bzip2-1.0.8          | 262 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2505798Z tzdata-2025b         | 116 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2506265Z pip-25.2             | 1.2 MB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2506721Z wheel-0.45.1         | 114 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2507700Z setuptools-78.1.1    | 1.7 MB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2508424Z xz-5.6.4             | 567 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2509301Z ld_impl_linux-64-2.4 | 710 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2510212Z zlib-1.2.13          | 111 KB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2511265Z xorg-libxau-1.0.12   | 13 KB     | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2512253Z ncurses-6.5          | 1.1 MB    | :   0% 0/1 [00:00<?, ?it/s]
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2025-09-09T14:09:07.2513093Z  ... (more hidden) ...
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2025-09-09T14:09:07.2513758Z libffi-3.4.4         | 141 KB    | :  11% 0.11323440988036575/1 [00:00<00:01,  1.78s/it]
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2025-09-09T14:09:09.5456274Z xorg-libx11-1.8.12   | 895 KB    | :   2% 0.017882324178246957/1 [00:00<00:11, 11.36s/it]
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2025-09-09T14:09:09.5457334Z python-3.9.23        | 24.7 MB   | :   0% 0.0006322391410592899/1 [00:00<05:48, 348.60s/it]
2025-09-09T14:09:09.5457905Z tk-8.6.15            | 3.4 MB    | :   0% 0.00453827661272385/1 [00:00<00:54, 54.95s/it]
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2025-09-09T14:09:09.5458472Z readline-8.3         | 471 KB    | :   3% 0.03400397653924861/1 [00:00<00:07,  7.67s/it]
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2025-09-09T14:09:09.5459516Z pthread-stubs-0.3    | 5 KB      | : 100% 1.0/1 [00:00<00:00,  3.64it/s]
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2025-09-09T14:09:09.5460197Z xorg-libxdmcp-1.1.5  | 19 KB     | :  85% 0.85067497403946/1 [00:00<00:00,  2.74it/s]
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2025-09-09T14:09:09.5460968Z python-3.9.23        | 24.7 MB   | :  23% 0.2339284821919373/1 [00:00<00:00,  1.09s/it]    
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2025-09-09T14:09:09.5461787Z libxcb-1.17.0        | 430 KB    | :   4% 0.03717806167600808/1 [00:00<00:08,  8.83s/it]
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2025-09-09T14:09:09.5462730Z readline-8.3         | 471 KB    | : 100% 1.0/1 [00:00<00:00,  7.67s/it]                
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2025-09-09T14:09:09.5463175Z pthread-stubs-0.3    | 5 KB      | : 100% 1.0/1 [00:00<00:00,  3.64it/s]
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2025-09-09T14:09:09.5463691Z tzdata-2025b         | 116 KB    | :  14% 0.13742430088406501/1 [00:00<00:02,  2.72s/it]
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2025-09-09T14:09:09.5464243Z sqlite-3.50.2        | 1.1 MB    | :   1% 0.014234380755784455/1 [00:00<00:26, 26.95s/it]
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2025-09-09T14:09:09.5464780Z pip-25.2             | 1.2 MB    | :   1% 0.012942774986570607/1 [00:00<00:29, 29.67s/it]
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2025-09-09T14:09:09.5466031Z xorg-libxdmcp-1.1.5  | 19 KB     | : 100% 1.0/1 [00:00<00:00,  2.74it/s]             
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2025-09-09T14:09:09.5466603Z bzip2-1.0.8          | 262 KB    | :   6% 0.06104685823297961/1 [00:00<00:06,  6.45s/it]
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2025-09-09T14:09:09.5467075Z python-3.9.23        | 24.7 MB   | :  45% 0.4463608335878587/1 [00:00<00:00,  1.35it/s]
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2025-09-09T14:09:09.5467501Z libffi-3.4.4         | 141 KB    | : 100% 1.0/1 [00:00<00:00,  2.45it/s]                
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2025-09-09T14:09:09.5467899Z libffi-3.4.4         | 141 KB    | : 100% 1.0/1 [00:00<00:00,  2.45it/s]
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2025-09-09T14:09:09.5468700Z wheel-0.45.1         | 114 KB    | :  14% 0.14068349647947792/1 [00:00<00:02,  3.30s/it]
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2025-09-09T14:09:09.5469331Z setuptools-78.1.1    | 1.7 MB    | :   1% 0.00926565813657571/1 [00:00<00:50, 51.47s/it]
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2025-09-09T14:09:09.5470032Z xorg-libx11-1.8.12   | 895 KB    | : 100% 1.0/1 [00:00<00:00,  2.37it/s]                 
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2025-09-09T14:09:09.5471038Z ld_impl_linux-64-2.4 | 710 KB    | :   2% 0.022543831405604585/1 [00:00<00:20, 21.47s/it]
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2025-09-09T14:09:09.5471540Z python-3.9.23        | 24.7 MB   | :  68% 0.6790248374976774/1 [00:00<00:00,  1.68it/s]
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2025-09-09T14:09:09.5472062Z xz-5.6.4             | 567 KB    | :   3% 0.028233137059266496/1 [00:00<00:18, 19.50s/it]
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2025-09-09T14:09:09.5472774Z xorg-libxau-1.0.12   | 13 KB     | : 100% 1.0/1 [00:00<00:00,  1.80it/s]
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2025-09-09T14:09:09.5473393Z zlib-1.2.13          | 111 KB    | :  14% 0.1443625982448102/1 [00:00<00:03,  3.89s/it]
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2025-09-09T14:09:09.5474026Z ncurses-6.5          | 1.1 MB    | :   1% 0.014401655346517857/1 [00:00<00:40, 40.88s/it]
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2025-09-09T14:09:09.5475054Z python-3.9.23        | 24.7 MB   | :  89% 0.8920894280346582/1 [00:00<00:00,  1.83it/s]
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2025-09-09T14:09:09.5475513Z libxcb-1.17.0        | 430 KB    | : 100% 1.0/1 [00:00<00:00,  1.88it/s]                
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2025-09-09T14:09:09.5475985Z libxcb-1.17.0        | 430 KB    | : 100% 1.0/1 [00:00<00:00,  1.88it/s]
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2025-09-09T14:09:09.5476461Z bzip2-1.0.8          | 262 KB    | : 100% 1.0/1 [00:00<00:00,  1.78it/s]                
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2025-09-09T14:09:09.5477000Z bzip2-1.0.8          | 262 KB    | : 100% 1.0/1 [00:00<00:00,  1.78it/s]
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2025-09-09T14:09:09.5477479Z sqlite-3.50.2        | 1.1 MB    | : 100% 1.0/1 [00:00<00:00,  1.67it/s]                 
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2025-09-09T14:09:09.5477930Z sqlite-3.50.2        | 1.1 MB    | : 100% 1.0/1 [00:00<00:00,  1.67it/s]
2025-09-09T14:09:09.5478243Z tk-8.6.15            | 3.4 MB    | : 100% 1.0/1 [00:00<00:00,  1.20it/s]                
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2025-09-09T14:09:09.5478984Z tzdata-2025b         | 116 KB    | : 100% 1.0/1 [00:00<00:00,  1.14it/s]                
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2025-09-09T14:09:09.5480067Z wheel-0.45.1         | 114 KB    | : 100% 1.0/1 [00:00<00:00,  1.16it/s]                
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2025-09-09T14:09:09.5481153Z ld_impl_linux-64-2.4 | 710 KB    | : 100% 1.0/1 [00:00<00:00,  1.18it/s]                 
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2025-09-09T14:09:09.5482375Z xorg-libxau-1.0.12   | 13 KB     | : 100% 1.0/1 [00:01<00:00,  1.80it/s]
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2025-09-09T14:09:09.5483072Z zlib-1.2.13          | 111 KB    | : 100% 1.0/1 [00:01<00:00,  1.12it/s]               
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2025-09-09T14:09:09.5484209Z pip-25.2             | 1.2 MB    | : 100% 1.0/1 [00:01<00:00,  1.04it/s]                 
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2025-09-09T14:09:09.5484676Z pip-25.2             | 1.2 MB    | : 100% 1.0/1 [00:01<00:00,  1.04it/s]
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2025-09-09T14:09:09.5485172Z xz-5.6.4             | 567 KB    | : 100% 1.0/1 [00:01<00:00,  1.02s/it]                 
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2025-09-09T14:09:09.5485702Z xz-5.6.4             | 567 KB    | : 100% 1.0/1 [00:01<00:00,  1.02s/it]
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2025-09-09T14:09:09.5487182Z setuptools-78.1.1    | 1.7 MB    | : 100% 1.0/1 [00:01<00:00,  1.54s/it]                
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2025-09-09T14:09:09.5488367Z ncurses-6.5          | 1.1 MB    | : 100% 1.0/1 [00:02<00:00,  2.17s/it]                 
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2025-09-09T14:09:09.5488917Z ncurses-6.5          | 1.1 MB    | : 100% 1.0/1 [00:02<00:00,  2.17s/it]
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2025-09-09T14:09:09.5489351Z python-3.9.23        | 24.7 MB   | : 100% 1.0/1 [00:02<00:00,  1.83it/s]               
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2025-09-09T14:09:09.5490269Z                                                                         
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2025-09-09T14:09:09.5490565Z                                                                         
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2025-09-09T14:09:09.5490873Z                                                                         
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2025-09-09T14:09:09.5491187Z                                                                         
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2025-09-09T14:09:09.5491494Z                                                                         
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2025-09-09T14:09:09.5491807Z                                                                         
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2025-09-09T14:09:09.5492124Z                                                                         
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2025-09-09T14:09:09.5492544Z                                                                         
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2025-09-09T14:09:09.5492889Z                                                                         
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2025-09-09T14:09:09.5493235Z                                                                         
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2025-09-09T14:09:09.5493587Z                                                                         
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2025-09-09T14:09:09.5493936Z                                                                         
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2025-09-09T14:09:16.0237218Z                                                                         
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2025-09-09T14:09:16.0238033Z                                                                         
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2025-09-09T14:09:16.0238602Z                                                                         
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2025-09-09T14:09:16.0239091Z                                                                         
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2025-09-09T14:09:16.0239863Z                                                                         
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2025-09-09T14:09:16.0240363Z                                                                         
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2025-09-09T14:09:16.0240857Z                                                                         
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2025-09-09T14:09:16.0241430Z Preparing transaction: | / done
2025-09-09T14:09:16.0241889Z Verifying transaction: \ | / - \ | / - \ | / - \ | / done
2025-09-09T14:09:16.0242453Z Executing transaction: \ | / - \ | / - \ | / - \ | / - \ | / - \ done
2025-09-09T14:09:16.0242910Z #
2025-09-09T14:09:16.0243089Z # To activate this environment, use
2025-09-09T14:09:16.0243341Z #
2025-09-09T14:09:16.0243505Z #     $ conda activate venv
2025-09-09T14:09:16.0243716Z #
2025-09-09T14:09:16.0243898Z # To deactivate an active environment, use
2025-09-09T14:09:16.0244149Z #
2025-09-09T14:09:16.0244307Z #     $ conda deactivate
2025-09-09T14:09:16.0244448Z 
2025-09-09T14:09:16.0244528Z + conda activate venv
2025-09-09T14:09:16.0244744Z + local cmd=activate
2025-09-09T14:09:16.0244937Z + case "$cmd" in
2025-09-09T14:09:16.0245139Z + __conda_activate activate venv
2025-09-09T14:09:16.0245395Z + '[' -n '' ']'
2025-09-09T14:09:16.0245595Z + local ask_conda
2025-09-09T14:09:16.0245755Z ++ PS1='(base) '
2025-09-09T14:09:16.0245931Z ++ __conda_exe shell.posix activate venv
2025-09-09T14:09:16.0246175Z ++ /opt/conda/bin/conda shell.posix activate venv
2025-09-09T14:09:16.0246418Z + ask_conda='PS1='\''(venv) '\''
2025-09-09T14:09:16.0247065Z export PATH='\''/opt/conda/envs/venv/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.6/bin:/opt/rh/gcc-toolset-11/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
2025-09-09T14:09:16.0247737Z export CONDA_PREFIX='\''/opt/conda/envs/venv'\''
2025-09-09T14:09:16.0247972Z export CONDA_SHLVL='\''2'\''
2025-09-09T14:09:16.0248165Z export CONDA_DEFAULT_ENV='\''venv'\''
2025-09-09T14:09:16.0248395Z export CONDA_PROMPT_MODIFIER='\''(venv) '\''
2025-09-09T14:09:16.0248623Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-09-09T14:09:16.0248852Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-09-09T14:09:16.0249198Z export _CE_M='\'''\''
2025-09-09T14:09:16.0249371Z export _CE_CONDA='\'''\''
2025-09-09T14:09:16.0249585Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-09-09T14:09:16.0249835Z + eval 'PS1='\''(venv) '\''
2025-09-09T14:09:16.0250456Z export PATH='\''/opt/conda/envs/venv/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.6/bin:/opt/rh/gcc-toolset-11/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin'\''
2025-09-09T14:09:16.0251117Z export CONDA_PREFIX='\''/opt/conda/envs/venv'\''
2025-09-09T14:09:16.0251349Z export CONDA_SHLVL='\''2'\''
2025-09-09T14:09:16.0251536Z export CONDA_DEFAULT_ENV='\''venv'\''
2025-09-09T14:09:16.0251762Z export CONDA_PROMPT_MODIFIER='\''(venv) '\''
2025-09-09T14:09:16.0251986Z export CONDA_PREFIX_1='\''/opt/conda'\''
2025-09-09T14:09:16.0252215Z export CONDA_EXE='\''/opt/conda/bin/conda'\''
2025-09-09T14:09:16.0252431Z export _CE_M='\'''\''
2025-09-09T14:09:16.0252596Z export _CE_CONDA='\'''\''
2025-09-09T14:09:16.0252822Z export CONDA_PYTHON_EXE='\''/opt/conda/bin/python'\'''
2025-09-09T14:09:16.0253060Z ++ PS1='(venv) '
2025-09-09T14:09:16.0253657Z ++ export PATH=/opt/conda/envs/venv/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.6/bin:/opt/rh/gcc-toolset-11/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-09-09T14:09:16.0254698Z ++ PATH=/opt/conda/envs/venv/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.6/bin:/opt/rh/gcc-toolset-11/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-09-09T14:09:16.0255340Z ++ export CONDA_PREFIX=/opt/conda/envs/venv
2025-09-09T14:09:16.0255573Z ++ CONDA_PREFIX=/opt/conda/envs/venv
2025-09-09T14:09:16.0255775Z ++ export CONDA_SHLVL=2
2025-09-09T14:09:16.0255943Z ++ CONDA_SHLVL=2
2025-09-09T14:09:16.0256100Z ++ export CONDA_DEFAULT_ENV=venv
2025-09-09T14:09:16.0256293Z ++ CONDA_DEFAULT_ENV=venv
2025-09-09T14:09:16.0256478Z ++ export 'CONDA_PROMPT_MODIFIER=(venv) '
2025-09-09T14:09:16.0256704Z ++ CONDA_PROMPT_MODIFIER='(venv) '
2025-09-09T14:09:16.0257010Z ++ export CONDA_PREFIX_1=/opt/conda
2025-09-09T14:09:16.0257226Z ++ CONDA_PREFIX_1=/opt/conda
2025-09-09T14:09:16.0257427Z ++ export CONDA_EXE=/opt/conda/bin/conda
2025-09-09T14:09:16.0257635Z ++ CONDA_EXE=/opt/conda/bin/conda
2025-09-09T14:09:16.0257827Z ++ export _CE_M=
2025-09-09T14:09:16.0257981Z ++ _CE_M=
2025-09-09T14:09:16.0258125Z ++ export _CE_CONDA=
2025-09-09T14:09:16.0258279Z ++ _CE_CONDA=
2025-09-09T14:09:16.0258455Z ++ export CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-09-09T14:09:16.0258694Z ++ CONDA_PYTHON_EXE=/opt/conda/bin/python
2025-09-09T14:09:16.0258902Z + __conda_hashr
2025-09-09T14:09:16.0259056Z + '[' -n '' ']'
2025-09-09T14:09:16.0259205Z + '[' -n '' ']'
2025-09-09T14:09:16.0259344Z + hash -r
2025-09-09T14:09:16.0260046Z + export PATH=/opt/rh/devtoolset-10/root/usr/bin/:/opt/conda/envs/venv/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.6/bin:/opt/rh/gcc-toolset-11/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-09-09T14:09:16.0261372Z + PATH=/opt/rh/devtoolset-10/root/usr/bin/:/opt/conda/envs/venv/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/cuda-12.6/bin:/opt/rh/gcc-toolset-11/root/usr/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-09-09T14:09:16.0262116Z + python -m pip install --upgrade pip
2025-09-09T14:09:16.0262486Z Requirement already satisfied: pip in /opt/conda/envs/venv/lib/python3.9/site-packages (25.2)
2025-09-09T14:09:16.0263981Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
2025-09-09T14:09:16.0265093Z + pip install uv
2025-09-09T14:09:16.0265264Z Collecting uv
2025-09-09T14:09:16.0265567Z   Downloading uv-0.8.15-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (11 kB)
2025-09-09T14:09:16.0266125Z Downloading uv-0.8.15-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (21.0 MB)
2025-09-09T14:09:16.0269182Z [?25l   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/21.0 MB ? eta -:--:--
2025-09-09T14:09:16.0269790Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 21.0/21.0 MB 190.7 MB/s  0:00:00
2025-09-09T14:09:16.0270157Z [?25hInstalling collected packages: uv
2025-09-09T14:09:16.0270388Z Successfully installed uv-0.8.15
2025-09-09T14:09:16.0271706Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
2025-09-09T14:09:16.0273025Z + pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
2025-09-09T14:09:16.0273466Z Looking in indexes: https://download.pytorch.org/whl/nightly/cu126
2025-09-09T14:09:16.0273764Z Collecting torch
2025-09-09T14:09:16.0274241Z   Downloading https://download.pytorch.org/whl/nightly/cu126/torch-2.9.0.dev20250825%2Bcu126-cp39-cp39-manylinux_2_28_x86_64.whl.metadata (31 kB)
2025-09-09T14:09:16.0274763Z Collecting filelock (from torch)
2025-09-09T14:09:16.0275169Z   Downloading https://download.pytorch.org/whl/nightly/filelock-3.19.1-py3-none-any.whl.metadata (2.1 kB)
2025-09-09T14:09:16.0275610Z Collecting typing-extensions>=4.10.0 (from torch)
2025-09-09T14:09:16.0276082Z   Downloading https://download.pytorch.org/whl/nightly/typing_extensions-4.14.1-py3-none-any.whl.metadata (3.0 kB)
2025-09-09T14:09:16.0276525Z Collecting sympy>=1.13.3 (from torch)
2025-09-09T14:09:16.0276921Z   Downloading https://download.pytorch.org/whl/nightly/sympy-1.14.0-py3-none-any.whl.metadata (12 kB)
2025-09-09T14:09:16.0277505Z Collecting networkx>=2.5.1 (from torch)
2025-09-09T14:09:16.0277951Z   Downloading https://download.pytorch.org/whl/nightly/networkx-3.5-py3-none-any.whl.metadata (6.3 kB)
2025-09-09T14:09:16.0278372Z Collecting jinja2 (from torch)
2025-09-09T14:09:16.0278758Z   Downloading https://download.pytorch.org/whl/nightly/jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
2025-09-09T14:09:16.0279166Z Collecting fsspec>=0.8.5 (from torch)
2025-09-09T14:09:16.0279561Z   Downloading https://download.pytorch.org/whl/nightly/fsspec-2025.7.0-py3-none-any.whl.metadata (12 kB)
2025-09-09T14:09:16.0280026Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 (from torch)
2025-09-09T14:09:16.0280553Z   Downloading https://download.pytorch.org/whl/nightly/cu126/nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB)
2025-09-09T14:09:16.0281238Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/23.7 MB ? eta -:--:--
2025-09-09T14:09:16.0281724Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 23.7/23.7 MB 204.4 MB/s  0:00:00
2025-09-09T14:09:16.0282152Z [?25hCollecting nvidia-cuda-runtime-cu12==12.6.77 (from torch)
2025-09-09T14:09:16.0282801Z   Downloading https://download.pytorch.org/whl/nightly/cu126/nvidia_cuda_runtime_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (897 kB)
2025-09-09T14:09:16.0283461Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/897.7 kB ? eta -:--:--
2025-09-09T14:09:16.0283953Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 897.7/897.7 kB 86.7 MB/s  0:00:00
2025-09-09T14:09:16.0284366Z [?25hCollecting nvidia-cuda-cupti-cu12==12.6.80 (from torch)
2025-09-09T14:09:22.3456927Z   Downloading https://download.pytorch.org/whl/nightly/cu126/nvidia_cuda_cupti_cu12-12.6.80-py3-none-manylinux2014_x86_64.whl (8.9 MB)
2025-09-09T14:09:22.3458138Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/8.9 MB ? eta -:--:--
2025-09-09T14:09:22.3459086Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 146.6 MB/s  0:00:00
2025-09-09T14:09:22.3459585Z [?25hCollecting nvidia-cudnn-cu12==9.10.2.21 (from torch)
2025-09-09T14:09:22.3460270Z   Downloading https://download.pytorch.org/whl/nightly/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl.metadata (1.8 kB)
2025-09-09T14:09:22.3460822Z Collecting nvidia-cublas-cu12==12.6.4.1 (from torch)
2025-09-09T14:09:22.3461422Z   Downloading https://download.pytorch.org/whl/nightly/cu126/nvidia_cublas_cu12-12.6.4.1-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (393.1 MB)
2025-09-09T14:09:22.3462142Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/393.1 MB ? eta -:--:--
2025-09-09T14:09:22.3462684Z      ━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 93.3/393.1 MB 467.5 MB/s eta 0:00:01
2025-09-09T14:09:22.3463240Z      ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 172.5/393.1 MB 429.3 MB/s eta 0:00:01
2025-09-09T14:09:22.3463769Z      ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 252.4/393.1 MB 419.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3464292Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 318.2/393.1 MB 389.4 MB/s eta 0:00:01
2025-09-09T14:09:22.3464861Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 388.2/393.1 MB 352.3 MB/s eta 0:00:01
2025-09-09T14:09:22.3465367Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3465883Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3466555Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3467102Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3467612Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3468107Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3468885Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3469380Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3469889Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3470585Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3471080Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 393.0/393.1 MB 347.2 MB/s eta 0:00:01
2025-09-09T14:09:22.3471569Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 393.1/393.1 MB 87.2 MB/s  0:00:03
2025-09-09T14:09:22.3471962Z [?25hCollecting nvidia-cufft-cu12==11.3.0.4 (from torch)
2025-09-09T14:09:22.3472574Z   Downloading https://download.pytorch.org/whl/nightly/cu126/nvidia_cufft_cu12-11.3.0.4-py3-none-manylinux2014_x86_64.whl (200.2 MB)
2025-09-09T14:09:22.3473298Z [?25l     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/200.2 MB ? eta -:--:--
2025-09-09T14:09:22.3474225Z      ━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 73.9/200.2 MB 370.0 MB/s eta 0:00:01
2025-09-09T14:09:22.3474932Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━ 142.6/200.2 MB 356.0 MB/s eta 0:00:01
2025-09-09T14:09:22.3475492Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 200.0/200.2 MB 336.8 MB/s eta 0:00:01
2025-09-09T14:09:22.3476157Z      ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸ 200.0/200.2 MB 336.8 MB/s eta 0:00:01
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2025-09-09T14:09:22.3478415Z [?25hCollecting nvidia-curand-cu12==10.3.7.77 (from torch)
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2025-09-09T14:09:26.5669104Z [?25hCollecting nvidia-cusparse-cu12==12.5.4.2 (from torch)
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2025-09-09T14:09:26.5676061Z [?25hCollecting nvidia-cusparselt-cu12==0.7.1 (from torch)
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2025-09-09T14:09:26.5677186Z Collecting nvidia-nccl-cu12==2.27.5 (from torch)
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2025-09-09T14:09:26.5678597Z Collecting nvidia-nvshmem-cu12==3.3.20 (from torch)
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2025-09-09T14:09:26.5679773Z Collecting nvidia-nvtx-cu12==12.6.77 (from torch)
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2025-09-09T14:09:26.5680789Z Collecting nvidia-nvjitlink-cu12==12.6.85 (from torch)
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2025-09-09T14:09:26.5683237Z [?25hCollecting nvidia-cufile-cu12==1.11.1.6 (from torch)
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2025-09-09T14:09:26.5684461Z Collecting pytorch-triton==3.4.0+gitf7888497 (from torch)
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2025-09-09T14:09:26.5685974Z Requirement already satisfied: setuptools>=40.8.0 in /opt/conda/envs/venv/lib/python3.9/site-packages (from pytorch-triton==3.4.0+gitf7888497->torch) (78.1.1)
2025-09-09T14:09:26.5686627Z Collecting importlib-metadata (from pytorch-triton==3.4.0+gitf7888497->torch)
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2025-09-09T14:09:26.5688333Z Collecting networkx>=2.5.1 (from torch)
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2025-09-09T14:09:26.5690139Z [?25hCollecting mpmath<1.4,>=1.1.0 (from sympy>=1.13.3->torch)
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2025-09-09T14:09:26.5692238Z [?25hCollecting zipp>=0.5 (from importlib-metadata->pytorch-triton==3.4.0+gitf7888497->torch)
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2025-09-09T14:09:26.5693150Z Collecting MarkupSafe>=2.0 (from jinja2->torch)
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2025-09-09T14:09:26.5694517Z Downloading https://download.pytorch.org/whl/nightly/cu126/torch-2.9.0.dev20250825%2Bcu126-cp39-cp39-manylinux_2_28_x86_64.whl (831.8 MB)
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2025-09-09T14:09:33.8757984Z [?25hDownloading https://download.pytorch.org/whl/nightly/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl (706.8 MB)
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2025-09-09T14:09:40.5886869Z [?25hDownloading https://download.pytorch.org/whl/nightly/cu126/nvidia_cufile_cu12-1.11.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (1.1 MB)
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2025-09-09T14:09:55.5089102Z Installing collected packages: nvidia-cusparselt-cu12, mpmath, zipp, typing-extensions, sympy, nvidia-nvtx-cu12, nvidia-nvshmem-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufile-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, importlib-metadata, pytorch-triton, nvidia-cusolver-cu12, torch
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2025-09-09T14:09:55.5095052Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/27 [nvidia-cusparselt-cu12]
2025-09-09T14:09:55.5095458Z    ━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  1/27 [mpmath]
2025-09-09T14:09:55.5095897Z    ━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  3/27 [typing-extensions]
2025-09-09T14:09:55.5096323Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:09:55.5096732Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:09:55.5097150Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:09:55.5097561Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:09:55.5097965Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:09:55.5098365Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:09:55.5098764Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:09:55.5099161Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7560761Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7561364Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7562200Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7562778Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7563428Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7563925Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7564414Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7564883Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7565287Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7565684Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7566092Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7566670Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7567066Z    ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/27 [sympy]
2025-09-09T14:10:02.7567491Z    ━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/27 [nvidia-nvtx-cu12]
2025-09-09T14:10:02.7567959Z    ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/27 [nvidia-nvshmem-cu12]
2025-09-09T14:10:02.7568638Z    ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/27 [nvidia-nvshmem-cu12]
2025-09-09T14:10:02.7569111Z    ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/27 [nvidia-nvshmem-cu12]
2025-09-09T14:10:02.7569563Z    ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/27 [nvidia-nvshmem-cu12]
2025-09-09T14:10:02.7570169Z    ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  6/27 [nvidia-nvshmem-cu12]
2025-09-09T14:10:02.7570642Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [nvidia-nvjitlink-cu12]
2025-09-09T14:10:02.7571103Z    ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/27 [nvidia-nvjitlink-cu12]
2025-09-09T14:10:02.7571577Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7572019Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7572449Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7572882Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7573331Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7573914Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7574355Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7574781Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7575214Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7575644Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7576068Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7576497Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7576957Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7577402Z    ━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/27 [nvidia-nccl-cu12]
2025-09-09T14:10:02.7577845Z    ━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━  9/27 [nvidia-curand-cu12]
2025-09-09T14:10:02.7578284Z    ━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━ 10/27 [nvidia-cufile-cu12]
2025-09-09T14:10:02.7578742Z    ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 12/27 [nvidia-cuda-nvrtc-cu12]
2025-09-09T14:10:02.7579198Z    ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 12/27 [nvidia-cuda-nvrtc-cu12]
2025-09-09T14:10:02.7579673Z    ━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━ 13/27 [nvidia-cuda-cupti-cu12]
2025-09-09T14:10:02.7580251Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:02.7580712Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:02.7581167Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9647476Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9648160Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9648771Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9649343Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9649943Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9650765Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9651230Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9651665Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9652105Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9652544Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9652978Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9653555Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9654022Z    ━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━ 14/27 [nvidia-cublas-cu12]
2025-09-09T14:10:09.9654480Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [networkx]
2025-09-09T14:10:09.9654895Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [networkx]
2025-09-09T14:10:09.9655296Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [networkx]
2025-09-09T14:10:09.9655700Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [networkx]
2025-09-09T14:10:09.9656096Z    ━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━ 15/27 [networkx]
2025-09-09T14:10:09.9656498Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━ 18/27 [filelock]
2025-09-09T14:10:09.9656953Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9657533Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9657991Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9658437Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9658889Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9659349Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9659797Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9660271Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9660729Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━ 19/27 [nvidia-cusparse-cu12]
2025-09-09T14:10:09.9661176Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [nvidia-cufft-cu12]
2025-09-09T14:10:09.9661623Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [nvidia-cufft-cu12]
2025-09-09T14:10:09.9662073Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [nvidia-cufft-cu12]
2025-09-09T14:10:09.9662518Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [nvidia-cufft-cu12]
2025-09-09T14:10:09.9662948Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [nvidia-cufft-cu12]
2025-09-09T14:10:09.9663383Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [nvidia-cufft-cu12]
2025-09-09T14:10:09.9663990Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━ 20/27 [nvidia-cufft-cu12]
2025-09-09T14:10:09.9664457Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:09.9664902Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:09.9665339Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:09.9665770Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:09.9666207Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:09.9666641Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:09.9667092Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:09.9667621Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1856177Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1856861Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1857470Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1858038Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1858594Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1859425Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1860060Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1860633Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1861182Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1861742Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1862275Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1862824Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1863366Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1864165Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1864742Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1865280Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1865820Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1866350Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1866789Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1867226Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1867676Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1868119Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1868785Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━ 21/27 [nvidia-cudnn-cu12]
2025-09-09T14:10:17.1869210Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━ 22/27 [jinja2]
2025-09-09T14:10:17.1869644Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1870088Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1870512Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1870931Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1871522Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1871980Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1872401Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1872815Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1873234Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1873647Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1874073Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━ 24/27 [pytorch-triton]
2025-09-09T14:10:17.1874555Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:17.1875156Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:17.1875615Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:17.1876058Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:17.1876511Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:17.1876956Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:17.1877394Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:17.1877953Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━ 25/27 [nvidia-cusolver-cu12]
2025-09-09T14:10:24.8960223Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8960854Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8961399Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8961901Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8962371Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8962982Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8963364Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8963795Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8964202Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8964602Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8964990Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8965365Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8965744Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8966125Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8966498Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8966877Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8967604Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8968002Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8968575Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8968961Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8969358Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8969733Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8970130Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8970522Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8971081Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8971487Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8971868Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8972254Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8972631Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8973009Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8973398Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8973775Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8974304Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8974680Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8975054Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8975433Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8975803Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8976178Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8976554Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8976938Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8977425Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8977802Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8978179Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8978562Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8978935Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:24.8979314Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1167630Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1168799Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1169904Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1170598Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1171319Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1172014Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1172712Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1173404Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1174098Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1174794Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1175540Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1176240Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1176930Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1177636Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1178322Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1179018Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1179716Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1180408Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1181711Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1182459Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1183171Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1183863Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1184561Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1185260Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1185953Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1186645Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1188030Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━ 26/27 [torch]
2025-09-09T14:10:30.1188702Z    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 27/27 [torch]
2025-09-09T14:10:30.1189147Z [?25h
2025-09-09T14:10:30.1193124Z Successfully installed MarkupSafe-3.0.2 filelock-3.19.1 fsspec-2025.7.0 importlib-metadata-7.1.0 jinja2-3.1.6 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu12-12.6.4.1 nvidia-cuda-cupti-cu12-12.6.80 nvidia-cuda-nvrtc-cu12-12.6.77 nvidia-cuda-runtime-cu12-12.6.77 nvidia-cudnn-cu12-9.10.2.21 nvidia-cufft-cu12-11.3.0.4 nvidia-cufile-cu12-1.11.1.6 nvidia-curand-cu12-10.3.7.77 nvidia-cusolver-cu12-11.7.1.2 nvidia-cusparse-cu12-12.5.4.2 nvidia-cusparselt-cu12-0.7.1 nvidia-nccl-cu12-2.27.5 nvidia-nvjitlink-cu12-12.6.85 nvidia-nvshmem-cu12-3.3.20 nvidia-nvtx-cu12-12.6.77 pytorch-triton-3.4.0+gitf7888497 sympy-1.14.0 torch-2.9.0.dev20250825+cu126 typing-extensions-4.14.1 zipp-3.19.2
2025-09-09T14:10:30.1199399Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
2025-09-09T14:10:30.1201052Z + uv pip install -r dev-requirements.txt
2025-09-09T14:10:30.1201417Z Using Python 3.9.23 environment at: /opt/conda/envs/venv
2025-09-09T14:10:30.1201830Z ░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 0/0
2025-09-09T14:10:30.1202282Z ⠙ Resolving dependencies...                                                     
2025-09-09T14:10:30.1202920Z ⠋ Resolving dependencies...                                                     
2025-09-09T14:10:30.1203398Z ⠙ Resolving dependencies...                                                     
2025-09-09T14:10:30.1203848Z ⠙ ruff==0.11.6                                                                  
2025-09-09T14:10:30.1204224Z ⠙ pytest==8.4.2                                                                 
2025-09-09T14:10:30.1204658Z ⠙ unittest-xml-reporting==3.2.0                                                 
2025-09-09T14:10:30.1205110Z ⠙ parameterized==0.9.0                                                          
2025-09-09T14:10:30.1205517Z ⠙ packaging==25.0                                                               
2025-09-09T14:10:30.1205930Z ⠙ transformers==4.56.1                                                          
2025-09-09T14:10:30.1206373Z ⠙ hypothesis==6.138.15                                                          
2025-09-09T14:10:30.1206815Z ⠙ sentencepiece==0.2.1                                                          
2025-09-09T14:10:30.1207359Z ⠙ expecttest==0.3.0                                                             
2025-09-09T14:10:30.1207773Z ⠙ bitsandbytes==0.47.0                                                          
2025-09-09T14:10:30.1208170Z ⠙ ruff==0.11.6                                                                  
2025-09-09T14:10:30.1208560Z ⠙ pytest==8.4.2                                                                 
2025-09-09T14:10:30.1208998Z ⠙ unittest-xml-reporting==3.2.0                                                 
2025-09-09T14:10:30.1209451Z ⠙ parameterized==0.9.0                                                          
2025-09-09T14:10:31.0198788Z ⠙ packaging==25.0                                                               
2025-09-09T14:10:31.0199446Z ⠙ transformers==4.56.1                                                          
2025-09-09T14:10:31.0200078Z ⠙ hypothesis==6.138.15                                                          
2025-09-09T14:10:31.0200518Z ⠙ sentencepiece==0.2.1                                                          
2025-09-09T14:10:31.0200951Z ⠙ expecttest==0.3.0                                                             
2025-09-09T14:10:31.0201372Z ⠙ bitsandbytes==0.47.0                                                          
2025-09-09T14:10:31.0201772Z ⠙ ruff==0.11.6                                                                  
2025-09-09T14:10:31.0202178Z ⠹ exceptiongroup==1.3.0                                                         
2025-09-09T14:10:31.0202689Z ⠹ tomli==2.2.1                                                                  
2025-09-09T14:10:31.0203302Z ⠹ lxml==6.0.1                                                                   
2025-09-09T14:10:31.0203752Z ⠹ pytest==8.4.2                                                                 
2025-09-09T14:10:31.0204156Z ⠸ numexpr==2.10.2                                                               
2025-09-09T14:10:31.0204697Z ⠼ rouge-score==0.1.2                                                            
2025-09-09T14:10:31.0205420Z ⠴ rouge-score==0.1.2                                                            
2025-09-09T14:10:31.0206079Z ⠴ sacrebleu==2.5.1                                                              
2025-09-09T14:10:31.0206785Z ⠴ importlib-resources==6.5.2                                                    
2025-09-09T14:10:31.0207250Z ⠴ importlib-resources==6.5.2                                                    
2025-09-09T14:10:31.0207695Z ⠴ diskcache==5.6.3                                                              
2025-09-09T14:10:31.0208173Z ⠴ pycocotools==2.0.10                                                           
2025-09-09T14:10:31.0208569Z ⠴ tqdm==4.67.1                                                                  
2025-09-09T14:10:31.0208944Z ⠴ ninja==1.13.0                                                                 
2025-09-09T14:10:31.0209318Z ⠴ cmake==3.31.6                                                                 
2025-09-09T14:10:31.0209700Z ⠴ sqlitedict==2.1.0                                                             
2025-09-09T14:10:31.0210089Z ⠦ hf-xet==1.1.9                                                                 
2025-09-09T14:10:31.0210493Z ⠦ aiohappyeyeballs==2.6.1                                                       
2025-09-09T14:10:31.0211125Z Resolved 134 packages in 1.08s
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2025-09-09T14:10:31.2007289Z absl-py              ------------------------------ 16.00 KiB/132.63 KiB
2025-09-09T14:10:31.2007735Z charset-normalizer   ------------------------------ 32.00 KiB/148.91 KiB
2025-09-09T14:10:31.2008315Z certifi              ------------------------------ 75.85 KiB/157.44 KiB
2025-09-09T14:10:31.2008727Z ninja                ------------------------------ 109.27 KiB/176.48 KiB
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2025-09-09T14:10:31.2009558Z xxhash               ------------------------------ 118.73 KiB/189.32 KiB
2025-09-09T14:10:31.2222942Z chardet              ------------------------------ 173.37 KiB/194.71 KiB
2025-09-09T14:10:31.2223927Z pre-commit           ------------------------------ 62.94 KiB/215.79 KiB
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2025-09-09T14:10:31.2225142Z joblib               ------------------------------ 172.99 KiB/301.17 KiB
2025-09-09T14:10:31.2225711Z tzdata               ------------------------------ 30.91 KiB/339.69 KiB
2025-09-09T14:10:31.2226223Z pytest               ------------------------------ 236.90 KiB/357.18 KiB
2025-09-09T14:10:31.2226919Z accelerate           ------------------------------ 188.45 KiB/366.12 KiB
2025-09-09T14:10:31.2227493Z numexpr              ------------------------------ 353.45 KiB/387.44 KiB
2025-09-09T14:10:31.2228043Z pycocotools          ------------------------------ 414.94 KiB/442.95 KiB
2025-09-09T14:10:31.2228481Z distlib              ------------------------------ 400.33 KiB/458.05 KiB
2025-09-09T14:10:31.2228924Z safetensors          ------------------------------ 367.36 KiB/474.45 KiB
2025-09-09T14:10:31.2229541Z datasets             ------------------------------ 285.99 KiB/480.03 KiB
2025-09-09T14:10:31.2230003Z peft                 ------------------------------ 140.67 KiB/493.06 KiB
2025-09-09T14:10:31.2230410Z pytz                 ------------------------------ 62.91 KiB/497.29 KiB
2025-09-09T14:10:31.2230828Z hypothesis           ------------------------------ 198.37 KiB/521.11 KiB
2025-09-09T14:10:31.2231294Z huggingface-hub      ------------------------------ 268.14 KiB/548.29 KiB
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2025-09-09T14:10:31.2236753Z absl-py              ------------------------------ 16.00 KiB/132.63 KiB
2025-09-09T14:10:31.2237215Z charset-normalizer   ------------------------------ 93.30 KiB/148.91 KiB
2025-09-09T14:10:31.2237671Z certifi              ------------------------------ 123.85 KiB/157.44 KiB
2025-09-09T14:10:31.2238303Z ninja                ------------------------------ 141.27 KiB/176.48 KiB
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2025-09-09T14:10:31.2239157Z xxhash               ------------------------------ 138.72 KiB/189.32 KiB
2025-09-09T14:10:31.2239566Z chardet              ------------------------------ 189.37 KiB/194.71 KiB
2025-09-09T14:10:31.2239989Z pre-commit           ------------------------------ 62.94 KiB/215.79 KiB
2025-09-09T14:10:31.2240415Z pybind11             ------------------------------ 140.44 KiB/286.73 KiB
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2025-09-09T14:10:31.2241781Z pytest               ------------------------------ 252.90 KiB/357.18 KiB
2025-09-09T14:10:31.2242208Z accelerate           ------------------------------ 188.45 KiB/366.12 KiB
2025-09-09T14:10:31.2242754Z numexpr              ------------------------------ 369.45 KiB/387.44 KiB
2025-09-09T14:10:31.2243189Z pycocotools          ------------------------------ 442.95 KiB/442.95 KiB
2025-09-09T14:10:31.2243620Z distlib              ------------------------------ 421.04 KiB/458.05 KiB
2025-09-09T14:10:31.2244039Z safetensors          ------------------------------ 399.36 KiB/474.45 KiB
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2025-09-09T14:10:31.2244884Z peft                 ------------------------------ 156.67 KiB/493.06 KiB
2025-09-09T14:10:31.2245390Z pytz                 ------------------------------ 92.01 KiB/497.29 KiB
2025-09-09T14:10:31.2245829Z hypothesis           ------------------------------ 206.33 KiB/521.11 KiB
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2025-09-09T14:10:31.2250934Z multiprocess         ------------------------------ 14.96 KiB/130.23 KiB
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2025-09-09T14:10:31.2251814Z charset-normalizer   ------------------------------ 109.30 KiB/148.91 KiB
2025-09-09T14:10:31.2252265Z certifi              ------------------------------ 139.85 KiB/157.44 KiB
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2025-09-09T14:10:31.2254009Z chardet              ------------------------------ 194.71 KiB/194.71 KiB
2025-09-09T14:10:31.2254430Z pre-commit           ------------------------------ 62.94 KiB/215.79 KiB
2025-09-09T14:10:31.2254857Z pybind11             ------------------------------ 204.44 KiB/286.73 KiB
2025-09-09T14:10:31.2255266Z joblib               ------------------------------ 188.99 KiB/301.17 KiB
2025-09-09T14:10:31.2255669Z tzdata               ------------------------------ 62.91 KiB/339.69 KiB
2025-09-09T14:10:31.2256073Z pytest               ------------------------------ 260.66 KiB/357.18 KiB
2025-09-09T14:10:31.2256495Z accelerate           ------------------------------ 204.45 KiB/366.12 KiB
2025-09-09T14:10:31.2256914Z numexpr              ------------------------------ 385.45 KiB/387.44 KiB
2025-09-09T14:10:31.2257320Z distlib              ------------------------------ 437.04 KiB/458.05 KiB
2025-09-09T14:10:31.2257755Z safetensors          ------------------------------ 427.30 KiB/474.45 KiB
2025-09-09T14:10:31.2258251Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.2258859Z peft                 ------------------------------ 156.67 KiB/493.06 KiB
2025-09-09T14:10:31.2259260Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.2259749Z hypothesis           ------------------------------ 222.33 KiB/521.11 KiB
2025-09-09T14:10:31.2260214Z huggingface-hub      ------------------------------ 300.64 KiB/548.29 KiB
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2025-09-09T14:10:31.2264792Z multiprocess         ------------------------------ 14.96 KiB/130.23 KiB
2025-09-09T14:10:31.2265215Z absl-py              ------------------------------ 32.00 KiB/132.63 KiB
2025-09-09T14:10:31.2265657Z charset-normalizer   ------------------------------ 123.15 KiB/148.91 KiB
2025-09-09T14:10:31.2266098Z certifi              ------------------------------ 155.85 KiB/157.44 KiB
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2025-09-09T14:10:31.2268536Z pybind11             ------------------------------ 204.44 KiB/286.73 KiB
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2025-09-09T14:10:31.2448800Z pytest               ------------------------------ 260.66 KiB/357.18 KiB
2025-09-09T14:10:31.2449604Z accelerate           ------------------------------ 204.45 KiB/366.12 KiB
2025-09-09T14:10:31.2450194Z numexpr              ------------------------------ 385.45 KiB/387.44 KiB
2025-09-09T14:10:31.2450650Z distlib              ------------------------------ 453.04 KiB/458.05 KiB
2025-09-09T14:10:31.2451099Z safetensors          ------------------------------ 432.21 KiB/474.45 KiB
2025-09-09T14:10:31.2451540Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.2451955Z peft                 ------------------------------ 156.67 KiB/493.06 KiB
2025-09-09T14:10:31.2452345Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.2452761Z hypothesis           ------------------------------ 222.33 KiB/521.11 KiB
2025-09-09T14:10:31.2453208Z huggingface-hub      ------------------------------ 300.64 KiB/548.29 KiB
2025-09-09T14:10:31.2453772Z pyyaml               ------------------------------ 511.35 KiB/720.08 KiB
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2025-09-09T14:10:31.2458711Z multiprocess         ------------------------------ 14.96 KiB/130.23 KiB
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2025-09-09T14:10:31.2462621Z pybind11             ------------------------------ 220.33 KiB/286.73 KiB
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2025-09-09T14:10:31.2464345Z pytest               ------------------------------ 260.66 KiB/357.18 KiB
2025-09-09T14:10:31.2464776Z accelerate           ------------------------------ 204.45 KiB/366.12 KiB
2025-09-09T14:10:31.2465210Z distlib              ------------------------------ 453.04 KiB/458.05 KiB
2025-09-09T14:10:31.2465641Z safetensors          ------------------------------ 432.21 KiB/474.45 KiB
2025-09-09T14:10:31.2466076Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.2466488Z peft                 ------------------------------ 172.67 KiB/493.06 KiB
2025-09-09T14:10:31.2466886Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.2467293Z hypothesis           ------------------------------ 222.33 KiB/521.11 KiB
2025-09-09T14:10:31.2467740Z huggingface-hub      ------------------------------ 300.64 KiB/548.29 KiB
2025-09-09T14:10:31.2468178Z pyyaml               ------------------------------ 511.35 KiB/720.08 KiB
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2025-09-09T14:10:31.2474097Z fire                 ------------------------------     0 B/113.23 KiB
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2025-09-09T14:10:31.2479123Z pybind11             ------------------------------ 236.33 KiB/286.73 KiB
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2025-09-09T14:10:31.2480462Z pytest               ------------------------------ 284.90 KiB/357.18 KiB
2025-09-09T14:10:31.2480884Z accelerate           ------------------------------ 220.45 KiB/366.12 KiB
2025-09-09T14:10:31.2481423Z safetensors          ------------------------------ 474.45 KiB/474.45 KiB
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2025-09-09T14:10:31.2482844Z peft                 ------------------------------ 172.67 KiB/493.06 KiB
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2025-09-09T14:10:31.2489667Z urllib3              ------------------------------ 14.91 KiB/126.75 KiB
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2025-09-09T14:10:31.2490539Z absl-py              ------------------------------ 77.94 KiB/132.63 KiB
2025-09-09T14:10:31.2490987Z charset-normalizer   ------------------------------ 141.30 KiB/148.91 KiB
2025-09-09T14:10:31.2491435Z ninja                ------------------------------ 176.48 KiB/176.48 KiB
2025-09-09T14:10:31.2491842Z fsspec               ------------------------------ 107.84 KiB/189.08 KiB
2025-09-09T14:10:31.2492250Z xxhash               ------------------------------ 189.32 KiB/189.32 KiB
2025-09-09T14:10:31.2492668Z pre-commit           ------------------------------ 75.30 KiB/215.79 KiB
2025-09-09T14:10:31.2493094Z pybind11             ------------------------------ 252.33 KiB/286.73 KiB
2025-09-09T14:10:31.2493621Z joblib               ------------------------------ 220.99 KiB/301.17 KiB
2025-09-09T14:10:31.2494029Z tzdata               ------------------------------ 78.05 KiB/339.69 KiB
2025-09-09T14:10:31.2494435Z pytest               ------------------------------ 284.90 KiB/357.18 KiB
2025-09-09T14:10:31.2494853Z accelerate           ------------------------------ 220.45 KiB/366.12 KiB
2025-09-09T14:10:31.2495293Z safetensors          ------------------------------ 474.45 KiB/474.45 KiB
2025-09-09T14:10:31.2583905Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.2584567Z peft                 ------------------------------ 172.67 KiB/493.06 KiB
2025-09-09T14:10:31.2585086Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.2585629Z hypothesis           ------------------------------ 254.33 KiB/521.11 KiB
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2025-09-09T14:10:31.2592281Z fire                 ------------------------------ 16.00 KiB/113.23 KiB
2025-09-09T14:10:31.2592713Z dill                 ------------------------------ 16.00 KiB/113.53 KiB
2025-09-09T14:10:31.2593127Z urllib3              ------------------------------ 14.91 KiB/126.75 KiB
2025-09-09T14:10:31.2593558Z multiprocess         ------------------------------ 39.99 KiB/130.23 KiB
2025-09-09T14:10:31.2593999Z absl-py              ------------------------------ 77.94 KiB/132.63 KiB
2025-09-09T14:10:31.2594444Z charset-normalizer   ------------------------------ 141.30 KiB/148.91 KiB
2025-09-09T14:10:31.2595028Z fsspec               ------------------------------ 107.84 KiB/189.08 KiB
2025-09-09T14:10:31.2595452Z xxhash               ------------------------------ 189.32 KiB/189.32 KiB
2025-09-09T14:10:31.2595883Z pre-commit           ------------------------------ 75.30 KiB/215.79 KiB
2025-09-09T14:10:31.2596314Z pybind11             ------------------------------ 252.33 KiB/286.73 KiB
2025-09-09T14:10:31.2596720Z joblib               ------------------------------ 220.99 KiB/301.17 KiB
2025-09-09T14:10:31.2597252Z tzdata               ------------------------------ 78.05 KiB/339.69 KiB
2025-09-09T14:10:31.2597830Z pytest               ------------------------------ 300.90 KiB/357.18 KiB
2025-09-09T14:10:31.2598427Z accelerate           ------------------------------ 220.45 KiB/366.12 KiB
2025-09-09T14:10:31.2598866Z safetensors          ------------------------------ 474.45 KiB/474.45 KiB
2025-09-09T14:10:31.2599292Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.2599713Z peft                 ------------------------------ 172.67 KiB/493.06 KiB
2025-09-09T14:10:31.2600104Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.2600513Z hypothesis           ------------------------------ 254.33 KiB/521.11 KiB
2025-09-09T14:10:31.2600955Z huggingface-hub      ------------------------------ 332.64 KiB/548.29 KiB
2025-09-09T14:10:31.2601390Z pyyaml               ------------------------------ 575.24 KiB/720.08 KiB
2025-09-09T14:10:31.2601797Z regex                ------------------------------ 557.01 KiB/770.96 KiB
2025-09-09T14:10:31.2602213Z tiktoken             ------------------------------ 456.56 KiB/1.13 MiB
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2025-09-09T14:10:31.2606541Z fire                 ------------------------------ 16.00 KiB/113.23 KiB
2025-09-09T14:10:31.2606943Z dill                 ------------------------------ 16.00 KiB/113.53 KiB
2025-09-09T14:10:31.2607346Z urllib3              ------------------------------ 14.91 KiB/126.75 KiB
2025-09-09T14:10:31.2607768Z multiprocess         ------------------------------ 55.99 KiB/130.23 KiB
2025-09-09T14:10:31.2608208Z absl-py              ------------------------------ 77.94 KiB/132.63 KiB
2025-09-09T14:10:31.2608658Z charset-normalizer   ------------------------------ 141.30 KiB/148.91 KiB
2025-09-09T14:10:31.2609120Z fsspec               ------------------------------ 107.84 KiB/189.08 KiB
2025-09-09T14:10:31.2609536Z xxhash               ------------------------------ 189.32 KiB/189.32 KiB
2025-09-09T14:10:31.2609949Z pre-commit           ------------------------------ 75.30 KiB/215.79 KiB
2025-09-09T14:10:31.2610376Z pybind11             ------------------------------ 252.33 KiB/286.73 KiB
2025-09-09T14:10:31.2610793Z joblib               ------------------------------ 220.99 KiB/301.17 KiB
2025-09-09T14:10:31.2611198Z tzdata               ------------------------------ 78.05 KiB/339.69 KiB
2025-09-09T14:10:31.2611608Z pytest               ------------------------------ 300.90 KiB/357.18 KiB
2025-09-09T14:10:31.2612020Z accelerate           ------------------------------ 220.45 KiB/366.12 KiB
2025-09-09T14:10:31.2612530Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.2612933Z peft                 ------------------------------ 172.67 KiB/493.06 KiB
2025-09-09T14:10:31.2613326Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.2613737Z hypothesis           ------------------------------ 254.33 KiB/521.11 KiB
2025-09-09T14:10:31.2614178Z huggingface-hub      ------------------------------ 332.64 KiB/548.29 KiB
2025-09-09T14:10:31.2614624Z pyyaml               ------------------------------ 575.24 KiB/720.08 KiB
2025-09-09T14:10:31.2615023Z regex                ------------------------------ 557.01 KiB/770.96 KiB
2025-09-09T14:10:31.2615436Z tiktoken             ------------------------------ 456.56 KiB/1.13 MiB
2025-09-09T14:10:31.2615875Z pygments             ------------------------------ 349.10 KiB/1.17 MiB
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2025-09-09T14:10:31.2620034Z pyparsing            ------------------------------ 16.00 KiB/108.52 KiB
2025-09-09T14:10:31.2620456Z fire                 ------------------------------ 16.00 KiB/113.23 KiB
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2025-09-09T14:10:31.2621247Z urllib3              ------------------------------ 30.91 KiB/126.75 KiB
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2025-09-09T14:10:31.2622575Z charset-normalizer   ------------------------------ 148.91 KiB/148.91 KiB
2025-09-09T14:10:31.2623426Z fsspec               ------------------------------ 123.84 KiB/189.08 KiB
2025-09-09T14:10:31.2623943Z pre-commit           ------------------------------ 75.30 KiB/215.79 KiB
2025-09-09T14:10:31.2624370Z pybind11             ------------------------------ 252.33 KiB/286.73 KiB
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2025-09-09T14:10:31.2625770Z tzdata               ------------------------------ 78.05 KiB/339.69 KiB
2025-09-09T14:10:31.2626328Z pytest               ------------------------------ 325.71 KiB/357.18 KiB
2025-09-09T14:10:31.2626757Z accelerate           ------------------------------ 236.45 KiB/366.12 KiB
2025-09-09T14:10:31.2627182Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.2627595Z peft                 ------------------------------ 188.67 KiB/493.06 KiB
2025-09-09T14:10:31.2628140Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.2628562Z hypothesis           ------------------------------ 270.33 KiB/521.11 KiB
2025-09-09T14:10:31.2629017Z huggingface-hub      ------------------------------ 364.64 KiB/548.29 KiB
2025-09-09T14:10:31.2629449Z pyyaml               ------------------------------ 607.24 KiB/720.08 KiB
2025-09-09T14:10:31.2629852Z regex                ------------------------------ 589.01 KiB/770.96 KiB
2025-09-09T14:10:31.3094235Z tiktoken             ------------------------------ 488.56 KiB/1.13 MiB
2025-09-09T14:10:31.3095192Z pygments             ------------------------------ 349.10 KiB/1.17 MiB
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2025-09-09T14:10:31.3101845Z pyparsing            ------------------------------ 16.00 KiB/108.52 KiB
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2025-09-09T14:10:31.3103465Z urllib3              ------------------------------ 30.91 KiB/126.75 KiB
2025-09-09T14:10:31.3103900Z multiprocess         ------------------------------ 55.99 KiB/130.23 KiB
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2025-09-09T14:10:31.3108276Z datasets             ------------------------------ 301.99 KiB/480.03 KiB
2025-09-09T14:10:31.3109041Z peft                 ------------------------------ 188.67 KiB/493.06 KiB
2025-09-09T14:10:31.3109757Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.3110410Z hypothesis           ------------------------------ 286.33 KiB/521.11 KiB
2025-09-09T14:10:31.3110879Z huggingface-hub      ------------------------------ 364.64 KiB/548.29 KiB
2025-09-09T14:10:31.3111561Z pyyaml               ------------------------------ 607.24 KiB/720.08 KiB
2025-09-09T14:10:31.3126039Z regex                ------------------------------ 589.01 KiB/770.96 KiB
2025-09-09T14:10:31.3126624Z tiktoken             ------------------------------ 488.56 KiB/1.13 MiB
2025-09-09T14:10:31.3127100Z pygments             ------------------------------ 349.10 KiB/1.17 MiB
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2025-09-09T14:10:31.3131813Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3132259Z click                ------------------------------ 30.92 KiB/95.89 KiB
2025-09-09T14:10:31.3132840Z identify             ------------------------------ 14.91 KiB/96.85 KiB
2025-09-09T14:10:31.3133291Z sacrebleu            ------------------------------ 30.95 KiB/101.67 KiB
2025-09-09T14:10:31.3133729Z pyparsing            ------------------------------ 80.00 KiB/108.52 KiB
2025-09-09T14:10:31.3134143Z fire                 ------------------------------ 45.41 KiB/113.23 KiB
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2025-09-09T14:10:31.3134946Z urllib3              ------------------------------ 62.91 KiB/126.75 KiB
2025-09-09T14:10:31.3135375Z multiprocess         ------------------------------ 71.77 KiB/130.23 KiB
2025-09-09T14:10:31.3135818Z absl-py              ------------------------------ 125.94 KiB/132.63 KiB
2025-09-09T14:10:31.3136237Z fsspec               ------------------------------ 139.84 KiB/189.08 KiB
2025-09-09T14:10:31.3136669Z pre-commit           ------------------------------ 77.17 KiB/215.79 KiB
2025-09-09T14:10:31.3137094Z pybind11             ------------------------------ 268.33 KiB/286.73 KiB
2025-09-09T14:10:31.3137506Z joblib               ------------------------------ 250.47 KiB/301.17 KiB
2025-09-09T14:10:31.3137920Z tzdata               ------------------------------ 78.05 KiB/339.69 KiB
2025-09-09T14:10:31.3138332Z pytest               ------------------------------ 348.90 KiB/357.18 KiB
2025-09-09T14:10:31.3138756Z accelerate           ------------------------------ 300.45 KiB/366.12 KiB
2025-09-09T14:10:31.3139185Z datasets             ------------------------------ 317.88 KiB/480.03 KiB
2025-09-09T14:10:31.3139592Z peft                 ------------------------------ 204.67 KiB/493.06 KiB
2025-09-09T14:10:31.3140082Z pytz                 ------------------------------ 108.01 KiB/497.29 KiB
2025-09-09T14:10:31.3140494Z hypothesis           ------------------------------ 366.33 KiB/521.11 KiB
2025-09-09T14:10:31.3140941Z huggingface-hub      ------------------------------ 388.53 KiB/548.29 KiB
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2025-09-09T14:10:31.3146386Z evaluate             ------------------------------ 16.00 KiB/82.13 KiB
2025-09-09T14:10:31.3146831Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3147264Z click                ------------------------------ 68.23 KiB/95.89 KiB
2025-09-09T14:10:31.3147679Z identify             ------------------------------ 84.42 KiB/96.85 KiB
2025-09-09T14:10:31.3148212Z sacrebleu            ------------------------------ 46.95 KiB/101.67 KiB
2025-09-09T14:10:31.3148666Z pyparsing            ------------------------------ 108.52 KiB/108.52 KiB
2025-09-09T14:10:31.3149228Z fire                 ------------------------------ 45.41 KiB/113.23 KiB
2025-09-09T14:10:31.3149926Z dill                 ------------------------------ 80.00 KiB/113.53 KiB
2025-09-09T14:10:31.3150358Z urllib3              ------------------------------ 74.96 KiB/126.75 KiB
2025-09-09T14:10:31.3150791Z multiprocess         ------------------------------ 78.96 KiB/130.23 KiB
2025-09-09T14:10:31.3151443Z fsspec               ------------------------------ 171.84 KiB/189.08 KiB
2025-09-09T14:10:31.3152130Z pre-commit           ------------------------------ 93.17 KiB/215.79 KiB
2025-09-09T14:10:31.3152607Z pybind11             ------------------------------ 280.32 KiB/286.73 KiB
2025-09-09T14:10:31.3153034Z joblib               ------------------------------ 250.47 KiB/301.17 KiB
2025-09-09T14:10:31.3153446Z tzdata               ------------------------------ 78.05 KiB/339.69 KiB
2025-09-09T14:10:31.3153858Z pytest               ------------------------------ 348.90 KiB/357.18 KiB
2025-09-09T14:10:31.3154280Z accelerate           ------------------------------ 348.45 KiB/366.12 KiB
2025-09-09T14:10:31.3154715Z datasets             ------------------------------ 317.88 KiB/480.03 KiB
2025-09-09T14:10:31.3155128Z peft                 ------------------------------ 204.67 KiB/493.06 KiB
2025-09-09T14:10:31.3155518Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3155866Z hypothesis           ------------------------------ 366.33 KiB/521.11 KiB
2025-09-09T14:10:31.3156130Z huggingface-hub      ------------------------------ 388.53 KiB/548.29 KiB
2025-09-09T14:10:31.3156483Z pyyaml               ------------------------------ 703.24 KiB/720.08 KiB
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2025-09-09T14:10:31.3158692Z evaluate             ------------------------------ 16.00 KiB/82.13 KiB
2025-09-09T14:10:31.3158948Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3159142Z click                ------------------------------ 94.92 KiB/95.89 KiB
2025-09-09T14:10:31.3159347Z identify             ------------------------------ 96.85 KiB/96.85 KiB
2025-09-09T14:10:31.3159557Z sacrebleu            ------------------------------ 46.95 KiB/101.67 KiB
2025-09-09T14:10:31.3159900Z pyparsing            ------------------------------ 108.52 KiB/108.52 KiB
2025-09-09T14:10:31.3160110Z fire                 ------------------------------ 61.41 KiB/113.23 KiB
2025-09-09T14:10:31.3160304Z dill                 ------------------------------ 80.00 KiB/113.53 KiB
2025-09-09T14:10:31.3160501Z urllib3              ------------------------------ 90.96 KiB/126.75 KiB
2025-09-09T14:10:31.3160719Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3160924Z fsspec               ------------------------------ 171.84 KiB/189.08 KiB
2025-09-09T14:10:31.3161132Z pre-commit           ------------------------------ 93.17 KiB/215.79 KiB
2025-09-09T14:10:31.3161335Z pybind11             ------------------------------ 280.32 KiB/286.73 KiB
2025-09-09T14:10:31.3161538Z joblib               ------------------------------ 250.47 KiB/301.17 KiB
2025-09-09T14:10:31.3161736Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3161929Z pytest               ------------------------------ 348.90 KiB/357.18 KiB
2025-09-09T14:10:31.3162143Z accelerate           ------------------------------ 348.45 KiB/366.12 KiB
2025-09-09T14:10:31.3162435Z datasets             ------------------------------ 317.88 KiB/480.03 KiB
2025-09-09T14:10:31.3162636Z peft                 ------------------------------ 236.57 KiB/493.06 KiB
2025-09-09T14:10:31.3162829Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3163038Z hypothesis           ------------------------------ 382.33 KiB/521.11 KiB
2025-09-09T14:10:31.3163265Z huggingface-hub      ------------------------------ 388.53 KiB/548.29 KiB
2025-09-09T14:10:31.3163565Z pyyaml               ------------------------------ 719.24 KiB/720.08 KiB
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2025-09-09T14:10:31.3165606Z tqdm                 ------------------------------ 16.00 KiB/76.70 KiB
2025-09-09T14:10:31.3165811Z evaluate             ------------------------------ 32.00 KiB/82.13 KiB
2025-09-09T14:10:31.3166024Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3166212Z click                ------------------------------ 94.92 KiB/95.89 KiB
2025-09-09T14:10:31.3166407Z identify             ------------------------------ 96.85 KiB/96.85 KiB
2025-09-09T14:10:31.3166616Z sacrebleu            ------------------------------ 51.61 KiB/101.67 KiB
2025-09-09T14:10:31.3166821Z pyparsing            ------------------------------ 108.52 KiB/108.52 KiB
2025-09-09T14:10:31.3167089Z fire                 ------------------------------ 61.41 KiB/113.23 KiB
2025-09-09T14:10:31.3167291Z dill                 ------------------------------ 80.00 KiB/113.53 KiB
2025-09-09T14:10:31.3167492Z urllib3              ------------------------------ 90.96 KiB/126.75 KiB
2025-09-09T14:10:31.3167719Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3167919Z fsspec               ------------------------------ 187.84 KiB/189.08 KiB
2025-09-09T14:10:31.3169270Z pre-commit           ------------------------------ 93.17 KiB/215.79 KiB
2025-09-09T14:10:31.3169681Z joblib               ------------------------------ 250.47 KiB/301.17 KiB
2025-09-09T14:10:31.3169917Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3170139Z pytest               ------------------------------ 357.18 KiB/357.18 KiB
2025-09-09T14:10:31.3170360Z accelerate           ------------------------------ 348.45 KiB/366.12 KiB
2025-09-09T14:10:31.3170573Z datasets             ------------------------------ 317.88 KiB/480.03 KiB
2025-09-09T14:10:31.3170774Z peft                 ------------------------------ 236.57 KiB/493.06 KiB
2025-09-09T14:10:31.3170970Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3171192Z hypothesis           ------------------------------ 382.33 KiB/521.11 KiB
2025-09-09T14:10:31.3171415Z huggingface-hub      ------------------------------ 388.53 KiB/548.29 KiB
2025-09-09T14:10:31.3171633Z pyyaml               ------------------------------ 719.24 KiB/720.08 KiB
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2025-09-09T14:10:31.3173897Z tqdm                 ------------------------------ 16.00 KiB/76.70 KiB
2025-09-09T14:10:31.3174296Z evaluate             ------------------------------ 32.00 KiB/82.13 KiB
2025-09-09T14:10:31.3174713Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3174997Z click                ------------------------------ 94.92 KiB/95.89 KiB
2025-09-09T14:10:31.3175205Z identify             ------------------------------ 96.85 KiB/96.85 KiB
2025-09-09T14:10:31.3175426Z sacrebleu            ------------------------------ 67.61 KiB/101.67 KiB
2025-09-09T14:10:31.3175643Z pyparsing            ------------------------------ 108.52 KiB/108.52 KiB
2025-09-09T14:10:31.3175833Z fire                 ------------------------------ 61.41 KiB/113.23 KiB
2025-09-09T14:10:31.3176177Z dill                 ------------------------------ 80.00 KiB/113.53 KiB
2025-09-09T14:10:31.3176398Z urllib3              ------------------------------ 90.96 KiB/126.75 KiB
2025-09-09T14:10:31.3176619Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3176826Z fsspec               ------------------------------ 187.84 KiB/189.08 KiB
2025-09-09T14:10:31.3177039Z pre-commit           ------------------------------ 93.17 KiB/215.79 KiB
2025-09-09T14:10:31.3177237Z joblib               ------------------------------ 250.47 KiB/301.17 KiB
2025-09-09T14:10:31.3177444Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3177660Z accelerate           ------------------------------ 348.45 KiB/366.12 KiB
2025-09-09T14:10:31.3177875Z datasets             ------------------------------ 317.88 KiB/480.03 KiB
2025-09-09T14:10:31.3178076Z peft                 ------------------------------ 236.57 KiB/493.06 KiB
2025-09-09T14:10:31.3178268Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3178477Z hypothesis           ------------------------------ 382.33 KiB/521.11 KiB
2025-09-09T14:10:31.3178707Z huggingface-hub      ------------------------------ 388.53 KiB/548.29 KiB
2025-09-09T14:10:31.3178905Z pyyaml               ------------------------------ 719.24 KiB/720.08 KiB
2025-09-09T14:10:31.3179114Z regex                ------------------------------ 765.01 KiB/770.96 KiB
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2025-09-09T14:10:31.3181058Z ⠹ Preparing packages... (7/107)
2025-09-09T14:10:31.3181257Z tqdm                 ------------------------------ 16.00 KiB/76.70 KiB
2025-09-09T14:10:31.3181467Z evaluate             ------------------------------ 32.00 KiB/82.13 KiB
2025-09-09T14:10:31.3181699Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3181896Z click                ------------------------------ 94.92 KiB/95.89 KiB
2025-09-09T14:10:31.3182094Z identify             ------------------------------ 96.85 KiB/96.85 KiB
2025-09-09T14:10:31.3182306Z sacrebleu            ------------------------------ 67.61 KiB/101.67 KiB
2025-09-09T14:10:31.3182494Z fire                 ------------------------------ 61.41 KiB/113.23 KiB
2025-09-09T14:10:31.3279170Z dill                 ------------------------------ 80.00 KiB/113.53 KiB
2025-09-09T14:10:31.3279456Z urllib3              ------------------------------ 90.96 KiB/126.75 KiB
2025-09-09T14:10:31.3279869Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3280535Z fsspec               ------------------------------ 187.84 KiB/189.08 KiB
2025-09-09T14:10:31.3281060Z pre-commit           ------------------------------ 93.17 KiB/215.79 KiB
2025-09-09T14:10:31.3281509Z joblib               ------------------------------ 250.47 KiB/301.17 KiB
2025-09-09T14:10:31.3281951Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3282569Z accelerate           ------------------------------ 348.45 KiB/366.12 KiB
2025-09-09T14:10:31.3283088Z datasets             ------------------------------ 317.88 KiB/480.03 KiB
2025-09-09T14:10:31.3283488Z peft                 ------------------------------ 236.57 KiB/493.06 KiB
2025-09-09T14:10:31.3283917Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3284218Z hypothesis           ------------------------------ 382.33 KiB/521.11 KiB
2025-09-09T14:10:31.3284503Z huggingface-hub      ------------------------------ 388.53 KiB/548.29 KiB
2025-09-09T14:10:31.3284748Z pyyaml               ------------------------------ 719.24 KiB/720.08 KiB
2025-09-09T14:10:31.3285002Z regex                ------------------------------ 765.01 KiB/770.96 KiB
2025-09-09T14:10:31.3285273Z tiktoken             ------------------------------ 664.56 KiB/1.13 MiB
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2025-09-09T14:10:31.3288060Z tqdm                 ------------------------------ 16.00 KiB/76.70 KiB
2025-09-09T14:10:31.3288267Z evaluate             ------------------------------ 32.00 KiB/82.13 KiB
2025-09-09T14:10:31.3288486Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3288685Z click                ------------------------------ 94.92 KiB/95.89 KiB
2025-09-09T14:10:31.3288910Z sacrebleu            ------------------------------ 67.61 KiB/101.67 KiB
2025-09-09T14:10:31.3289100Z fire                 ------------------------------ 64.00 KiB/113.23 KiB
2025-09-09T14:10:31.3289293Z dill                 ------------------------------ 96.00 KiB/113.53 KiB
2025-09-09T14:10:31.3289490Z urllib3              ------------------------------ 90.96 KiB/126.75 KiB
2025-09-09T14:10:31.3289709Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3289910Z fsspec               ------------------------------ 187.84 KiB/189.08 KiB
2025-09-09T14:10:31.3290116Z pre-commit           ------------------------------ 205.17 KiB/215.79 KiB
2025-09-09T14:10:31.3290310Z joblib               ------------------------------ 266.47 KiB/301.17 KiB
2025-09-09T14:10:31.3290585Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3290811Z accelerate           ------------------------------ 364.45 KiB/366.12 KiB
2025-09-09T14:10:31.3291018Z datasets             ------------------------------ 333.88 KiB/480.03 KiB
2025-09-09T14:10:31.3291221Z peft                 ------------------------------ 252.57 KiB/493.06 KiB
2025-09-09T14:10:31.3291416Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3291627Z hypothesis           ------------------------------ 382.33 KiB/521.11 KiB
2025-09-09T14:10:31.3291859Z huggingface-hub      ------------------------------ 388.53 KiB/548.29 KiB
2025-09-09T14:10:31.3292058Z pyyaml               ------------------------------ 720.08 KiB/720.08 KiB
2025-09-09T14:10:31.3292257Z regex                ------------------------------ 770.96 KiB/770.96 KiB
2025-09-09T14:10:31.3292466Z tiktoken             ------------------------------ 680.56 KiB/1.13 MiB
2025-09-09T14:10:31.3292677Z pygments             ------------------------------ 428.99 KiB/1.17 MiB
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2025-09-09T14:10:31.3294831Z more-itertools       ------------------------------     0 B/68.03 KiB
2025-09-09T14:10:31.3295013Z idna                 ------------------------------     0 B/68.79 KiB
2025-09-09T14:10:31.3295205Z blobfile             ------------------------------     0 B/73.97 KiB
2025-09-09T14:10:31.3295399Z tqdm                 ------------------------------ 16.00 KiB/76.70 KiB
2025-09-09T14:10:31.3295596Z evaluate             ------------------------------ 48.00 KiB/82.13 KiB
2025-09-09T14:10:31.3295819Z pytablewriter        ------------------------------ 16.00 KiB/88.95 KiB
2025-09-09T14:10:31.3296019Z click                ------------------------------ 95.89 KiB/95.89 KiB
2025-09-09T14:10:31.3296221Z sacrebleu            ------------------------------ 78.95 KiB/101.67 KiB
2025-09-09T14:10:31.3296425Z fire                 ------------------------------ 80.00 KiB/113.23 KiB
2025-09-09T14:10:31.3296616Z dill                 ------------------------------ 96.00 KiB/113.53 KiB
2025-09-09T14:10:31.3296811Z urllib3              ------------------------------ 90.96 KiB/126.75 KiB
2025-09-09T14:10:31.3297024Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3297225Z fsspec               ------------------------------ 187.84 KiB/189.08 KiB
2025-09-09T14:10:31.3297929Z pre-commit           ------------------------------ 205.17 KiB/215.79 KiB
2025-09-09T14:10:31.3298156Z joblib               ------------------------------ 266.47 KiB/301.17 KiB
2025-09-09T14:10:31.3298362Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3298572Z accelerate           ------------------------------ 364.45 KiB/366.12 KiB
2025-09-09T14:10:31.3298775Z datasets             ------------------------------ 333.88 KiB/480.03 KiB
2025-09-09T14:10:31.3299095Z peft                 ------------------------------ 268.67 KiB/493.06 KiB
2025-09-09T14:10:31.3299418Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3299645Z hypothesis           ------------------------------ 382.33 KiB/521.11 KiB
2025-09-09T14:10:31.3299878Z huggingface-hub      ------------------------------ 396.64 KiB/548.29 KiB
2025-09-09T14:10:31.3300103Z regex                ------------------------------ 770.96 KiB/770.96 KiB
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2025-09-09T14:10:31.3303063Z evaluate             ------------------------------ 48.00 KiB/82.13 KiB
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2025-09-09T14:10:31.3303490Z sacrebleu            ------------------------------ 78.95 KiB/101.67 KiB
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2025-09-09T14:10:31.3415359Z more-itertools       ------------------------------ 14.91 KiB/68.03 KiB
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2025-09-09T14:10:31.3416328Z evaluate             ------------------------------ 48.00 KiB/82.13 KiB
2025-09-09T14:10:31.3416598Z pytablewriter        ------------------------------ 32.00 KiB/88.95 KiB
2025-09-09T14:10:31.3416857Z sacrebleu            ------------------------------ 78.95 KiB/101.67 KiB
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2025-09-09T14:10:31.3417593Z urllib3              ------------------------------ 106.96 KiB/126.75 KiB
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2025-09-09T14:10:31.3418261Z pre-commit           ------------------------------ 205.17 KiB/215.79 KiB
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2025-09-09T14:10:31.3422228Z packaging            ------------------------------     0 B/64.91 KiB
2025-09-09T14:10:31.3422528Z more-itertools       ------------------------------ 14.91 KiB/68.03 KiB
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2025-09-09T14:10:31.3423590Z evaluate             ------------------------------ 48.00 KiB/82.13 KiB
2025-09-09T14:10:31.3423820Z pytablewriter        ------------------------------ 32.00 KiB/88.95 KiB
2025-09-09T14:10:31.3424030Z sacrebleu            ------------------------------ 78.95 KiB/101.67 KiB
2025-09-09T14:10:31.3424227Z fire                 ------------------------------ 80.00 KiB/113.23 KiB
2025-09-09T14:10:31.3424413Z dill                 ------------------------------ 96.00 KiB/113.53 KiB
2025-09-09T14:10:31.3424621Z urllib3              ------------------------------ 106.96 KiB/126.75 KiB
2025-09-09T14:10:31.3424848Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3425048Z fsspec               ------------------------------ 187.84 KiB/189.08 KiB
2025-09-09T14:10:31.3425257Z pre-commit           ------------------------------ 205.17 KiB/215.79 KiB
2025-09-09T14:10:31.3425457Z joblib               ------------------------------ 266.47 KiB/301.17 KiB
2025-09-09T14:10:31.3425649Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3425852Z datasets             ------------------------------ 333.88 KiB/480.03 KiB
2025-09-09T14:10:31.3426047Z peft                 ------------------------------ 284.67 KiB/493.06 KiB
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2025-09-09T14:10:31.3426965Z tiktoken             ------------------------------ 712.56 KiB/1.13 MiB
2025-09-09T14:10:31.3427179Z pygments             ------------------------------ 428.99 KiB/1.17 MiB
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2025-09-09T14:10:31.3429268Z packaging            ------------------------------     0 B/64.91 KiB
2025-09-09T14:10:31.3429495Z more-itertools       ------------------------------ 30.91 KiB/68.03 KiB
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2025-09-09T14:10:31.3430577Z pytablewriter        ------------------------------ 32.00 KiB/88.95 KiB
2025-09-09T14:10:31.3430786Z sacrebleu            ------------------------------ 78.95 KiB/101.67 KiB
2025-09-09T14:10:31.3430981Z fire                 ------------------------------ 80.00 KiB/113.23 KiB
2025-09-09T14:10:31.3431168Z dill                 ------------------------------ 96.00 KiB/113.53 KiB
2025-09-09T14:10:31.3431371Z urllib3              ------------------------------ 106.96 KiB/126.75 KiB
2025-09-09T14:10:31.3431590Z multiprocess         ------------------------------ 126.96 KiB/130.23 KiB
2025-09-09T14:10:31.3431800Z pre-commit           ------------------------------ 205.17 KiB/215.79 KiB
2025-09-09T14:10:31.3432065Z joblib               ------------------------------ 266.47 KiB/301.17 KiB
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2025-09-09T14:10:31.3433143Z peft                 ------------------------------ 284.67 KiB/493.06 KiB
2025-09-09T14:10:31.3433349Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3433560Z hypothesis           ------------------------------ 430.33 KiB/521.11 KiB
2025-09-09T14:10:31.3774307Z huggingface-hub      ------------------------------ 396.64 KiB/548.29 KiB
2025-09-09T14:10:31.3774853Z tiktoken             ------------------------------ 712.56 KiB/1.13 MiB
2025-09-09T14:10:31.3775139Z pygments             ------------------------------ 444.99 KiB/1.17 MiB
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2025-09-09T14:10:31.3782141Z peft                 ------------------------------ 284.67 KiB/493.06 KiB
2025-09-09T14:10:31.3782335Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.3782543Z hypothesis           ------------------------------ 430.33 KiB/521.11 KiB
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2025-09-09T14:10:31.3792374Z tabulate             ------------------------------ 16.00 KiB/34.43 KiB
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2025-09-09T14:10:31.3830227Z tabulate             ------------------------------ 34.43 KiB/34.43 KiB
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2025-09-09T14:10:31.3833555Z pytablewriter        ------------------------------ 48.00 KiB/88.95 KiB
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2025-09-09T14:10:31.3839122Z tabulate             ------------------------------ 34.43 KiB/34.43 KiB
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2025-09-09T14:10:31.3971449Z datasets             ------------------------------ 349.99 KiB/480.03 KiB
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2025-09-09T14:10:31.3977023Z evaluate             ------------------------------ 80.00 KiB/82.13 KiB
2025-09-09T14:10:31.3977448Z pytablewriter        ------------------------------ 48.00 KiB/88.95 KiB
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2025-09-09T14:10:31.3978283Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.3978486Z datasets             ------------------------------ 349.99 KiB/480.03 KiB
2025-09-09T14:10:31.3978682Z peft                 ------------------------------ 311.11 KiB/493.06 KiB
2025-09-09T14:10:31.3978868Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
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2025-09-09T14:10:31.3982867Z typepy               ------------------------------ 16.00 KiB/30.71 KiB
2025-09-09T14:10:31.3983108Z importlib-resources  ------------------------------ 14.90 KiB/36.58 KiB
2025-09-09T14:10:31.3983298Z attrs                ------------------------------ 59.09 KiB/62.32 KiB
2025-09-09T14:10:31.3983588Z requests             ------------------------------ 46.91 KiB/63.22 KiB
2025-09-09T14:10:31.3983814Z packaging            ------------------------------ 61.52 KiB/64.91 KiB
2025-09-09T14:10:31.3984016Z tqdm                 ------------------------------ 50.57 KiB/76.70 KiB
2025-09-09T14:10:31.3984216Z evaluate             ------------------------------ 80.00 KiB/82.13 KiB
2025-09-09T14:10:31.3984430Z pytablewriter        ------------------------------ 48.00 KiB/88.95 KiB
2025-09-09T14:10:31.3984630Z fire                 ------------------------------ 111.89 KiB/113.23 KiB
2025-09-09T14:10:31.4129474Z dill                 ------------------------------ 112.00 KiB/113.53 KiB
2025-09-09T14:10:31.4129972Z joblib               ------------------------------ 276.29 KiB/301.17 KiB
2025-09-09T14:10:31.4130422Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.4130804Z datasets             ------------------------------ 349.99 KiB/480.03 KiB
2025-09-09T14:10:31.4131060Z peft                 ------------------------------ 311.11 KiB/493.06 KiB
2025-09-09T14:10:31.4131303Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.4131577Z hypothesis           ------------------------------ 494.33 KiB/521.11 KiB
2025-09-09T14:10:31.4132003Z huggingface-hub      ------------------------------ 428.64 KiB/548.29 KiB
2025-09-09T14:10:31.4132509Z tiktoken             ------------------------------ 936.56 KiB/1.13 MiB
2025-09-09T14:10:31.4132799Z pygments             ------------------------------ 508.99 KiB/1.17 MiB
2025-09-09T14:10:31.4133326Z sentencepiece        ------------------------------ 958.55 KiB/1.32 MiB
2025-09-09T14:10:31.4133586Z nltk                 ------------------------------ 463.12 KiB/1.44 MiB
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2025-09-09T14:10:31.4136634Z nodeenv              ------------------------------ 16.00 KiB/21.79 KiB
2025-09-09T14:10:31.4136910Z portalocker          ------------------------------ 14.94 KiB/21.90 KiB
2025-09-09T14:10:31.4137184Z pathvalidate         ------------------------------ 14.94 KiB/23.74 KiB
2025-09-09T14:10:31.4137430Z colorama             ------------------------------ 14.87 KiB/24.74 KiB
2025-09-09T14:10:31.4137692Z dataproperty         ------------------------------ 14.91 KiB/26.93 KiB
2025-09-09T14:10:31.4137983Z sortedcontainers     ------------------------------ 28.88 KiB/28.88 KiB
2025-09-09T14:10:31.4138336Z typepy               ------------------------------ 16.00 KiB/30.71 KiB
2025-09-09T14:10:31.4138629Z importlib-resources  ------------------------------ 14.90 KiB/36.58 KiB
2025-09-09T14:10:31.4138880Z attrs                ------------------------------ 59.09 KiB/62.32 KiB
2025-09-09T14:10:31.4139121Z requests             ------------------------------ 62.91 KiB/63.22 KiB
2025-09-09T14:10:31.4139350Z packaging            ------------------------------ 61.52 KiB/64.91 KiB
2025-09-09T14:10:31.4139544Z tqdm                 ------------------------------ 50.57 KiB/76.70 KiB
2025-09-09T14:10:31.4139758Z pytablewriter        ------------------------------ 48.00 KiB/88.95 KiB
2025-09-09T14:10:31.4139955Z fire                 ------------------------------ 111.89 KiB/113.23 KiB
2025-09-09T14:10:31.4140157Z dill                 ------------------------------ 113.53 KiB/113.53 KiB
2025-09-09T14:10:31.4140363Z joblib               ------------------------------ 276.29 KiB/301.17 KiB
2025-09-09T14:10:31.4140566Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.4140783Z datasets             ------------------------------ 365.99 KiB/480.03 KiB
2025-09-09T14:10:31.4140973Z peft                 ------------------------------ 332.67 KiB/493.06 KiB
2025-09-09T14:10:31.4141162Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.4141379Z hypothesis           ------------------------------ 494.33 KiB/521.11 KiB
2025-09-09T14:10:31.4141617Z huggingface-hub      ------------------------------ 428.64 KiB/548.29 KiB
2025-09-09T14:10:31.4141839Z tiktoken             ------------------------------ 979.56 KiB/1.13 MiB
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2025-09-09T14:10:31.4144344Z nodeenv              ------------------------------ 16.00 KiB/21.79 KiB
2025-09-09T14:10:31.4144559Z portalocker          ------------------------------ 14.94 KiB/21.90 KiB
2025-09-09T14:10:31.4144779Z pathvalidate         ------------------------------ 14.94 KiB/23.74 KiB
2025-09-09T14:10:31.4144980Z colorama             ------------------------------ 14.87 KiB/24.74 KiB
2025-09-09T14:10:31.4145192Z dataproperty         ------------------------------ 14.91 KiB/26.93 KiB
2025-09-09T14:10:31.4145420Z sortedcontainers     ------------------------------ 28.88 KiB/28.88 KiB
2025-09-09T14:10:31.4145618Z typepy               ------------------------------ 16.00 KiB/30.71 KiB
2025-09-09T14:10:31.4145852Z importlib-resources  ------------------------------ 14.90 KiB/36.58 KiB
2025-09-09T14:10:31.4146153Z attrs                ------------------------------ 59.09 KiB/62.32 KiB
2025-09-09T14:10:31.4146364Z requests             ------------------------------ 62.91 KiB/63.22 KiB
2025-09-09T14:10:31.4146569Z packaging            ------------------------------ 61.52 KiB/64.91 KiB
2025-09-09T14:10:31.4146767Z tqdm                 ------------------------------ 50.57 KiB/76.70 KiB
2025-09-09T14:10:31.4146982Z pytablewriter        ------------------------------ 48.00 KiB/88.95 KiB
2025-09-09T14:10:31.4147172Z fire                 ------------------------------ 111.89 KiB/113.23 KiB
2025-09-09T14:10:31.4147363Z dill                 ------------------------------ 113.53 KiB/113.53 KiB
2025-09-09T14:10:31.4147557Z joblib               ------------------------------ 276.29 KiB/301.17 KiB
2025-09-09T14:10:31.4147755Z tzdata               ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.4147965Z datasets             ------------------------------ 365.99 KiB/480.03 KiB
2025-09-09T14:10:31.4148153Z peft                 ------------------------------ 332.67 KiB/493.06 KiB
2025-09-09T14:10:31.4148346Z pytz                 ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.4148553Z hypothesis           ------------------------------ 494.33 KiB/521.11 KiB
2025-09-09T14:10:31.4148779Z huggingface-hub      ------------------------------ 428.64 KiB/548.29 KiB
2025-09-09T14:10:31.4148991Z tiktoken             ------------------------------ 979.56 KiB/1.13 MiB
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2025-09-09T14:10:31.4151121Z pluggy                 ------------------------------     0 B/20.06 KiB
2025-09-09T14:10:31.4151377Z unittest-xml-reporting ------------------------------ 16.00 KiB/20.45 KiB
2025-09-09T14:10:31.4151579Z nodeenv                ------------------------------ 16.00 KiB/21.79 KiB
2025-09-09T14:10:31.4151788Z portalocker            ------------------------------ 14.94 KiB/21.90 KiB
2025-09-09T14:10:31.4152001Z pathvalidate           ------------------------------ 14.94 KiB/23.74 KiB
2025-09-09T14:10:31.4152205Z colorama               ------------------------------ 14.87 KiB/24.74 KiB
2025-09-09T14:10:31.4152415Z dataproperty           ------------------------------ 14.91 KiB/26.93 KiB
2025-09-09T14:10:31.4152638Z sortedcontainers       ------------------------------ 28.88 KiB/28.88 KiB
2025-09-09T14:10:31.4152838Z typepy                 ------------------------------ 16.00 KiB/30.71 KiB
2025-09-09T14:10:31.4153139Z importlib-resources    ------------------------------ 14.90 KiB/36.58 KiB
2025-09-09T14:10:31.4153344Z attrs                  ------------------------------ 59.09 KiB/62.32 KiB
2025-09-09T14:10:31.4153552Z requests               ------------------------------ 62.91 KiB/63.22 KiB
2025-09-09T14:10:31.4153753Z packaging              ------------------------------ 61.52 KiB/64.91 KiB
2025-09-09T14:10:31.4153940Z tqdm                   ------------------------------ 64.00 KiB/76.70 KiB
2025-09-09T14:10:31.4154160Z pytablewriter          ------------------------------ 48.00 KiB/88.95 KiB
2025-09-09T14:10:31.4154359Z fire                   ------------------------------ 111.89 KiB/113.23 KiB
2025-09-09T14:10:31.4154558Z joblib                 ------------------------------ 276.29 KiB/301.17 KiB
2025-09-09T14:10:31.4276162Z tzdata                 ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.4276637Z datasets               ------------------------------ 365.99 KiB/480.03 KiB
2025-09-09T14:10:31.4277059Z peft                   ------------------------------ 332.67 KiB/493.06 KiB
2025-09-09T14:10:31.4277402Z pytz                   ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.4277682Z hypothesis             ------------------------------ 494.33 KiB/521.11 KiB
2025-09-09T14:10:31.4278011Z huggingface-hub        ------------------------------ 428.64 KiB/548.29 KiB
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2025-09-09T14:10:31.4280306Z pluggy                 ------------------------------     0 B/20.06 KiB
2025-09-09T14:10:31.4280565Z unittest-xml-reporting ------------------------------ 16.00 KiB/20.45 KiB
2025-09-09T14:10:31.4280772Z nodeenv                ------------------------------ 16.00 KiB/21.79 KiB
2025-09-09T14:10:31.4281007Z portalocker            ------------------------------ 14.94 KiB/21.90 KiB
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2025-09-09T14:10:31.4281434Z colorama               ------------------------------ 14.87 KiB/24.74 KiB
2025-09-09T14:10:31.4281671Z dataproperty           ------------------------------ 14.91 KiB/26.93 KiB
2025-09-09T14:10:31.4281868Z typepy                 ------------------------------ 16.00 KiB/30.71 KiB
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2025-09-09T14:10:31.4282311Z attrs                  ------------------------------ 59.09 KiB/62.32 KiB
2025-09-09T14:10:31.4282659Z requests               ------------------------------ 62.91 KiB/63.22 KiB
2025-09-09T14:10:31.4282987Z packaging              ------------------------------ 61.52 KiB/64.91 KiB
2025-09-09T14:10:31.4283196Z tqdm                   ------------------------------ 64.00 KiB/76.70 KiB
2025-09-09T14:10:31.4283418Z pytablewriter          ------------------------------ 48.00 KiB/88.95 KiB
2025-09-09T14:10:31.4283614Z fire                   ------------------------------ 111.89 KiB/113.23 KiB
2025-09-09T14:10:31.4283820Z joblib                 ------------------------------ 276.29 KiB/301.17 KiB
2025-09-09T14:10:31.4284018Z tzdata                 ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.4284223Z datasets               ------------------------------ 365.99 KiB/480.03 KiB
2025-09-09T14:10:31.4284416Z peft                   ------------------------------ 332.67 KiB/493.06 KiB
2025-09-09T14:10:31.4284612Z pytz                   ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.4284822Z hypothesis             ------------------------------ 494.33 KiB/521.11 KiB
2025-09-09T14:10:31.4285050Z huggingface-hub        ------------------------------ 428.64 KiB/548.29 KiB
2025-09-09T14:10:31.4285267Z tiktoken               ------------------------------ 995.56 KiB/1.13 MiB
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2025-09-09T14:10:31.4287385Z pluggy                 ------------------------------     0 B/20.06 KiB
2025-09-09T14:10:31.4287641Z unittest-xml-reporting ------------------------------ 16.00 KiB/20.45 KiB
2025-09-09T14:10:31.4287843Z nodeenv                ------------------------------ 16.00 KiB/21.79 KiB
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2025-09-09T14:10:31.4288486Z colorama               ------------------------------ 14.87 KiB/24.74 KiB
2025-09-09T14:10:31.4288706Z dataproperty           ------------------------------ 14.91 KiB/26.93 KiB
2025-09-09T14:10:31.4288902Z typepy                 ------------------------------ 16.00 KiB/30.71 KiB
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2025-09-09T14:10:31.4289331Z attrs                  ------------------------------ 59.09 KiB/62.32 KiB
2025-09-09T14:10:31.4289529Z requests               ------------------------------ 62.91 KiB/63.22 KiB
2025-09-09T14:10:31.4289729Z packaging              ------------------------------ 61.52 KiB/64.91 KiB
2025-09-09T14:10:31.4289998Z tqdm                   ------------------------------ 64.00 KiB/76.70 KiB
2025-09-09T14:10:31.4290227Z pytablewriter          ------------------------------ 48.00 KiB/88.95 KiB
2025-09-09T14:10:31.4290427Z joblib                 ------------------------------ 276.29 KiB/301.17 KiB
2025-09-09T14:10:31.4290630Z tzdata                 ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.4290832Z datasets               ------------------------------ 365.99 KiB/480.03 KiB
2025-09-09T14:10:31.4291024Z peft                   ------------------------------ 332.67 KiB/493.06 KiB
2025-09-09T14:10:31.4291219Z pytz                   ------------------------------ 124.01 KiB/497.29 KiB
2025-09-09T14:10:31.4291431Z hypothesis             ------------------------------ 494.33 KiB/521.11 KiB
2025-09-09T14:10:31.4291655Z huggingface-hub        ------------------------------ 428.64 KiB/548.29 KiB
2025-09-09T14:10:31.4291871Z tiktoken               ------------------------------ 995.56 KiB/1.13 MiB
2025-09-09T14:10:31.4292085Z pygments               ------------------------------ 508.99 KiB/1.17 MiB
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2025-09-09T14:10:31.4294279Z threadpoolctl          ------------------------------ 14.94 KiB/18.20 KiB
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2025-09-09T14:10:31.4294918Z pluggy                 ------------------------------ 16.00 KiB/20.06 KiB
2025-09-09T14:10:31.4295158Z unittest-xml-reporting ------------------------------ 16.00 KiB/20.45 KiB
2025-09-09T14:10:31.4295358Z nodeenv                ------------------------------ 21.79 KiB/21.79 KiB
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2025-09-09T14:10:31.4295994Z colorama               ------------------------------ 14.87 KiB/24.74 KiB
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2025-09-09T14:10:31.4426662Z nodeenv                ------------------------------ 21.79 KiB/21.79 KiB
2025-09-09T14:10:31.4426935Z portalocker            ------------------------------ 14.94 KiB/21.90 KiB
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2025-09-09T14:10:31.4429801Z pytablewriter          ------------------------------ 64.00 KiB/88.95 KiB
2025-09-09T14:10:31.4430312Z joblib                 ------------------------------ 276.29 KiB/301.17 KiB
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2025-09-09T14:10:31.4434923Z exceptiongroup         ------------------------------     0 B/16.28 KiB
2025-09-09T14:10:31.4435239Z threadpoolctl          ------------------------------ 14.94 KiB/18.20 KiB
2025-09-09T14:10:31.4435456Z platformdirs           ------------------------------ 14.91 KiB/18.22 KiB
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2025-09-09T14:10:31.4436317Z portalocker            ------------------------------ 21.90 KiB/21.90 KiB
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2025-09-09T14:10:31.4442664Z aiohappyeyeballs       ------------------------------     0 B/14.91 KiB
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2025-09-09T14:10:31.4444684Z portalocker            ------------------------------ 21.90 KiB/21.90 KiB
2025-09-09T14:10:31.4444958Z pathvalidate           ------------------------------ 23.74 KiB/23.74 KiB
2025-09-09T14:10:31.4445181Z colorama               ------------------------------ 24.74 KiB/24.74 KiB
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2025-09-09T14:10:31.4457819Z importlib-resources    ------------------------------ 30.90 KiB/36.58 KiB
2025-09-09T14:10:31.4458039Z attrs                  ------------------------------ 59.09 KiB/62.32 KiB
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2025-09-09T14:10:31.4458486Z joblib                 ------------------------------ 276.29 KiB/301.17 KiB
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2025-09-09T14:10:31.4479267Z joblib                 ------------------------------ 276.29 KiB/301.17 KiB
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2025-09-09T14:10:31.4486333Z pytablewriter          ------------------------------ 64.00 KiB/88.95 KiB
2025-09-09T14:10:31.4486540Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
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2025-09-09T14:10:31.4492318Z pathvalidate           ------------------------------ 23.74 KiB/23.74 KiB
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2025-09-09T14:10:31.4492734Z dataproperty           ------------------------------ 26.93 KiB/26.93 KiB
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2025-09-09T14:10:31.4493163Z importlib-resources    ------------------------------ 30.90 KiB/36.58 KiB
2025-09-09T14:10:31.4493360Z attrs                  ------------------------------ 59.09 KiB/62.32 KiB
2025-09-09T14:10:31.4493580Z pytablewriter          ------------------------------ 64.00 KiB/88.95 KiB
2025-09-09T14:10:31.4493780Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
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2025-09-09T14:10:31.4495006Z tiktoken               ------------------------------ 1.08 MiB/1.13 MiB
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2025-09-09T14:10:31.4571166Z unittest-xml-reporting ------------------------------ 16.00 KiB/20.45 KiB
2025-09-09T14:10:31.4571521Z pathvalidate           ------------------------------ 23.74 KiB/23.74 KiB
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2025-09-09T14:10:31.4579704Z tomli                  ------------------------------ 13.92 KiB/13.92 KiB
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2025-09-09T14:10:31.4617312Z pytablewriter          ------------------------------ 73.03 KiB/88.95 KiB
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2025-09-09T14:10:31.4617930Z datasets               ------------------------------ 461.99 KiB/480.03 KiB
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2025-09-09T14:10:31.4660088Z six                    ------------------------------ 10.79 KiB/10.79 KiB
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2025-09-09T14:10:31.4666459Z tcolorpy               ------------------------------     0 B/7.91 KiB
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2025-09-09T14:10:31.4667599Z six                    ------------------------------ 10.79 KiB/10.79 KiB
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2025-09-09T14:10:31.4678237Z tiktoken               ------------------------------ 1.13 MiB/1.13 MiB
2025-09-09T14:10:31.4678437Z pygments               ------------------------------ 573.10 KiB/1.17 MiB
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2025-09-09T14:10:31.5017550Z nltk                   ------------------------------ 543.12 KiB/1.44 MiB
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2025-09-09T14:10:31.5040084Z sentencepiece          ------------------------------ 1.15 MiB/1.32 MiB
2025-09-09T14:10:31.5040271Z nltk                   ------------------------------ 559.12 KiB/1.44 MiB
2025-09-09T14:10:31.5040474Z kiwisolver             ------------------------------ 1.18 MiB/1.53 MiB
2025-09-09T14:10:31.5040696Z aiohttp                ------------------------------ 1006.74 KiB/1.56 MiB
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2025-09-09T14:10:31.5042584Z 
2025-09-09T14:10:31.5042748Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5042901Z    Building word2number==1.1
2025-09-09T14:10:31.5062242Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5062454Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5062901Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5063332Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5063704Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5064097Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5064477Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5064879Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5065138Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5065350Z expecttest             ------------------------------ 8.04 KiB/8.04 KiB
2025-09-09T14:10:31.5065707Z cycler                 ------------------------------ 8.13 KiB/8.13 KiB
2025-09-09T14:10:31.5066134Z jsonlines              ------------------------------ 8.50 KiB/8.50 KiB
2025-09-09T14:10:31.5066585Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5066828Z tabledata              ------------------------------ 11.54 KiB/11.54 KiB
2025-09-09T14:10:31.5067130Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5067410Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5067718Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5067940Z tzdata                 ------------------------------ 94.05 KiB/339.69 KiB
2025-09-09T14:10:31.5068163Z datasets               ------------------------------ 477.99 KiB/480.03 KiB
2025-09-09T14:10:31.5068615Z peft                   ------------------------------ 364.67 KiB/493.06 KiB
2025-09-09T14:10:31.5068817Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5069082Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
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2025-09-09T14:10:31.5071170Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5071318Z    Building word2number==1.1
2025-09-09T14:10:31.5071461Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5071615Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5071838Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5072053Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5072239Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5072458Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5072655Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5072864Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5073068Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5073269Z expecttest             ------------------------------ 8.04 KiB/8.04 KiB
2025-09-09T14:10:31.5073457Z cycler                 ------------------------------ 8.13 KiB/8.13 KiB
2025-09-09T14:10:31.5073659Z jsonlines              ------------------------------ 8.50 KiB/8.50 KiB
2025-09-09T14:10:31.5073880Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5074349Z tabledata              ------------------------------ 11.54 KiB/11.54 KiB
2025-09-09T14:10:31.5074647Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5074916Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5075121Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5075321Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5075541Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5075730Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5075961Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5076179Z tiktoken               ------------------------------ 1.13 MiB/1.13 MiB
2025-09-09T14:10:31.5076255Z 
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2025-09-09T14:10:31.5078027Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5078295Z    Building word2number==1.1
2025-09-09T14:10:31.5078439Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5078591Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5078818Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5079035Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5079217Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5079424Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5079620Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5079837Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5080045Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5080246Z expecttest             ------------------------------ 8.04 KiB/8.04 KiB
2025-09-09T14:10:31.5080434Z cycler                 ------------------------------ 8.13 KiB/8.13 KiB
2025-09-09T14:10:31.5080638Z jsonlines              ------------------------------ 8.50 KiB/8.50 KiB
2025-09-09T14:10:31.5080860Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5081067Z tabledata              ------------------------------ 11.54 KiB/11.54 KiB
2025-09-09T14:10:31.5081265Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5081479Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5081751Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5081970Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5082177Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5082483Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5082730Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5082950Z pygments               ------------------------------ 589.10 KiB/1.17 MiB
2025-09-09T14:10:31.5083026Z 
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2025-09-09T14:10:31.5084810Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5084958Z    Building word2number==1.1
2025-09-09T14:10:31.5085096Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5085234Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5085544Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5085765Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5085953Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5086159Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5086354Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5086557Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5086758Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5086947Z cycler                 ------------------------------ 8.13 KiB/8.13 KiB
2025-09-09T14:10:31.5094852Z jsonlines              ------------------------------ 8.50 KiB/8.50 KiB
2025-09-09T14:10:31.5095143Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5095462Z tabledata              ------------------------------ 11.54 KiB/11.54 KiB
2025-09-09T14:10:31.5095682Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5095914Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5096123Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5096475Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5096859Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5097392Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5097664Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5097884Z pygments               ------------------------------ 589.10 KiB/1.17 MiB
2025-09-09T14:10:31.5098117Z sentencepiece          ------------------------------ 1.20 MiB/1.32 MiB
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2025-09-09T14:10:31.5100029Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5100169Z    Building word2number==1.1
2025-09-09T14:10:31.5100315Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5100467Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5100685Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5100903Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5101096Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5101395Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5101599Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5101806Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5102003Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5102201Z cycler                 ------------------------------ 8.13 KiB/8.13 KiB
2025-09-09T14:10:31.5102432Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5102647Z tabledata              ------------------------------ 11.54 KiB/11.54 KiB
2025-09-09T14:10:31.5102842Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5103074Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5103277Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5103475Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5103675Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5103869Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5104204Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5104532Z pygments               ------------------------------ 589.10 KiB/1.17 MiB
2025-09-09T14:10:31.5104946Z sentencepiece          ------------------------------ 1.20 MiB/1.32 MiB
2025-09-09T14:10:31.5105373Z nltk                   ------------------------------ 599.95 KiB/1.44 MiB
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2025-09-09T14:10:31.5107593Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5107736Z    Building word2number==1.1
2025-09-09T14:10:31.5107880Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5108023Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5108342Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5108664Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5108986Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5109298Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5109619Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5109991Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5110507Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5110748Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5110965Z tabledata              ------------------------------ 11.54 KiB/11.54 KiB
2025-09-09T14:10:31.5111167Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5111382Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5111589Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5111785Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5111983Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5112186Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5112413Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5112617Z pygments               ------------------------------ 589.10 KiB/1.17 MiB
2025-09-09T14:10:31.5112836Z sentencepiece          ------------------------------ 1.20 MiB/1.32 MiB
2025-09-09T14:10:31.5113023Z nltk                   ------------------------------ 599.95 KiB/1.44 MiB
2025-09-09T14:10:31.5113238Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
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2025-09-09T14:10:31.5115286Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5115424Z    Building word2number==1.1
2025-09-09T14:10:31.5115565Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5115723Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5115942Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5116347Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5116681Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5116894Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5117096Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5117311Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5117505Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5117729Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5118058Z tabledata              ------------------------------ 11.54 KiB/11.54 KiB
2025-09-09T14:10:31.5118259Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5118490Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5118702Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5118914Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5119108Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5119304Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5119528Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5119848Z pygments               ------------------------------ 589.10 KiB/1.17 MiB
2025-09-09T14:10:31.5143071Z sentencepiece          ------------------------------ 1.20 MiB/1.32 MiB
2025-09-09T14:10:31.5143450Z nltk                   ------------------------------ 599.95 KiB/1.44 MiB
2025-09-09T14:10:31.5143765Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5143934Z 
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2025-09-09T14:10:31.5146796Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5146980Z    Building word2number==1.1
2025-09-09T14:10:31.5147152Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5147336Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5147612Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5147885Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5148078Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5148294Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5148499Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5148706Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5148916Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5149141Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5149342Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5149599Z pytablewriter          ------------------------------ 88.95 KiB/88.95 KiB
2025-09-09T14:10:31.5149939Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5150352Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5150558Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5150848Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5151114Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5151321Z pygments               ------------------------------ 592.92 KiB/1.17 MiB
2025-09-09T14:10:31.5151540Z sentencepiece          ------------------------------ 1.20 MiB/1.32 MiB
2025-09-09T14:10:31.5151731Z nltk                   ------------------------------ 599.95 KiB/1.44 MiB
2025-09-09T14:10:31.5151937Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5152163Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5152253Z 
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2025-09-09T14:10:31.5154463Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5154610Z    Building word2number==1.1
2025-09-09T14:10:31.5154753Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5154894Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5155117Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5155361Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5155702Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5156122Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5156399Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5156623Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5156821Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5157050Z tqdm-multiprocess      ------------------------------ 9.59 KiB/9.59 KiB
2025-09-09T14:10:31.5157250Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5157453Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5157755Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5158053Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5158262Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5158788Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5159194Z pygments               ------------------------------ 592.92 KiB/1.17 MiB
2025-09-09T14:10:31.5159617Z sentencepiece          ------------------------------ 1.20 MiB/1.32 MiB
2025-09-09T14:10:31.5159992Z nltk                   ------------------------------ 599.95 KiB/1.44 MiB
2025-09-09T14:10:31.5160215Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5160427Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5160676Z pycryptodomex          ------------------------------ 482.80 KiB/2.17 MiB
2025-09-09T14:10:31.5160754Z 
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2025-09-09T14:10:31.5162636Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5162782Z    Building word2number==1.1
2025-09-09T14:10:31.5162919Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5163156Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5163377Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5163594Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5163778Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5163978Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5164179Z termcolor              ------------------------------ 7.50 KiB/7.50 KiB
2025-09-09T14:10:31.5164385Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5164580Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5164791Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5164996Z joblib                 ------------------------------ 292.29 KiB/301.17 KiB
2025-09-09T14:10:31.5165196Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5165391Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5165582Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5165808Z huggingface-hub        ------------------------------ 476.64 KiB/548.29 KiB
2025-09-09T14:10:31.5166020Z pygments               ------------------------------ 592.92 KiB/1.17 MiB
2025-09-09T14:10:31.5166231Z sentencepiece          ------------------------------ 1.20 MiB/1.32 MiB
2025-09-09T14:10:31.5166422Z nltk                   ------------------------------ 599.95 KiB/1.44 MiB
2025-09-09T14:10:31.5166733Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5166941Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5167160Z pycryptodomex          ------------------------------ 482.80 KiB/2.17 MiB
2025-09-09T14:10:31.5167366Z hf-xet                 ------------------------------ 1.26 MiB/3.04 MiB
2025-09-09T14:10:31.5167446Z 
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2025-09-09T14:10:31.5169667Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5169809Z    Building word2number==1.1
2025-09-09T14:10:31.5169959Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5170098Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5170312Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5170532Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5170914Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5171136Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5171354Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5171556Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5171764Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5171966Z joblib                 ------------------------------ 301.17 KiB/301.17 KiB
2025-09-09T14:10:31.5172162Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5172360Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5172558Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5172785Z huggingface-hub        ------------------------------ 492.64 KiB/548.29 KiB
2025-09-09T14:10:31.5173003Z pygments               ------------------------------ 605.10 KiB/1.17 MiB
2025-09-09T14:10:31.5173219Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5173409Z nltk                   ------------------------------ 607.12 KiB/1.44 MiB
2025-09-09T14:10:31.5173622Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5173826Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5174042Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5174390Z hf-xet                 ------------------------------ 1.27 MiB/3.04 MiB
2025-09-09T14:10:31.5174614Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
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2025-09-09T14:10:31.5176492Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5176636Z    Building word2number==1.1
2025-09-09T14:10:31.5176773Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5176909Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5177129Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5177343Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5177524Z cfgv                   ------------------------------ 7.08 KiB/7.08 KiB
2025-09-09T14:10:31.5177727Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5178036Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5178252Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5178485Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5178872Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5179248Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5179638Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5179995Z huggingface-hub        ------------------------------ 492.64 KiB/548.29 KiB
2025-09-09T14:10:31.5180217Z pygments               ------------------------------ 605.10 KiB/1.17 MiB
2025-09-09T14:10:31.5180451Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5180648Z nltk                   ------------------------------ 607.12 KiB/1.44 MiB
2025-09-09T14:10:31.5180855Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5181064Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5181281Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5181471Z hf-xet                 ------------------------------ 1.27 MiB/3.04 MiB
2025-09-09T14:10:31.5181680Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
2025-09-09T14:10:31.5181905Z fonttools              ------------------------------ 1.07 MiB/4.54 MiB
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2025-09-09T14:10:31.5183858Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5184002Z    Building word2number==1.1
2025-09-09T14:10:31.5184152Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5184294Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5184510Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5184724Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5184923Z aiosignal              ------------------------------ 7.31 KiB/7.31 KiB
2025-09-09T14:10:31.5185136Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5185333Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5185529Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5185736Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5186167Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5186564Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5186914Z huggingface-hub        ------------------------------ 492.64 KiB/548.29 KiB
2025-09-09T14:10:31.5187136Z pygments               ------------------------------ 605.10 KiB/1.17 MiB
2025-09-09T14:10:31.5187360Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5187600Z nltk                   ------------------------------ 607.12 KiB/1.44 MiB
2025-09-09T14:10:31.5187966Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5188182Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5188415Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5188616Z hf-xet                 ------------------------------ 1.27 MiB/3.04 MiB
2025-09-09T14:10:31.5188830Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
2025-09-09T14:10:31.5189135Z fonttools              ------------------------------ 1.09 MiB/4.54 MiB
2025-09-09T14:10:31.5189350Z lxml                   ------------------------------ 1.29 MiB/5.05 MiB
2025-09-09T14:10:31.5189429Z 
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2025-09-09T14:10:31.5191172Z 
2025-09-09T14:10:31.5191331Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5191476Z    Building word2number==1.1
2025-09-09T14:10:31.5191617Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5191758Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5191974Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5192193Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5192404Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5192650Z tcolorpy               ------------------------------ 7.91 KiB/7.91 KiB
2025-09-09T14:10:31.5192974Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5193188Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5193396Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5193586Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5193811Z huggingface-hub        ------------------------------ 492.64 KiB/548.29 KiB
2025-09-09T14:10:31.5194097Z pygments               ------------------------------ 605.10 KiB/1.17 MiB
2025-09-09T14:10:31.5194457Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5211719Z nltk                   ------------------------------ 623.12 KiB/1.44 MiB
2025-09-09T14:10:31.5212262Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5212701Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5213055Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5213318Z hf-xet                 ------------------------------ 1.27 MiB/3.04 MiB
2025-09-09T14:10:31.5213582Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
2025-09-09T14:10:31.5213840Z fonttools              ------------------------------ 1.09 MiB/4.54 MiB
2025-09-09T14:10:31.5214071Z lxml                   ------------------------------ 1.29 MiB/5.05 MiB
2025-09-09T14:10:31.5214407Z zstandard              ------------------------------ 1.15 MiB/5.30 MiB
2025-09-09T14:10:31.5214586Z 
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2025-09-09T14:10:31.5216948Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5217124Z    Building word2number==1.1
2025-09-09T14:10:31.5217302Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5217497Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5217767Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5218035Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5218303Z mbstrdecoder           ------------------------------ 7.75 KiB/7.75 KiB
2025-09-09T14:10:31.5218534Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5218748Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5218948Z peft                   ------------------------------ 380.67 KiB/493.06 KiB
2025-09-09T14:10:31.5219145Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5219372Z huggingface-hub        ------------------------------ 492.64 KiB/548.29 KiB
2025-09-09T14:10:31.5219584Z pygments               ------------------------------ 621.10 KiB/1.17 MiB
2025-09-09T14:10:31.5219798Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5219987Z nltk                   ------------------------------ 623.12 KiB/1.44 MiB
2025-09-09T14:10:31.5220196Z kiwisolver             ------------------------------ 1.24 MiB/1.53 MiB
2025-09-09T14:10:31.5220482Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5220708Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5220907Z hf-xet                 ------------------------------ 1.27 MiB/3.04 MiB
2025-09-09T14:10:31.5221107Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
2025-09-09T14:10:31.5221303Z fonttools              ------------------------------ 1.09 MiB/4.54 MiB
2025-09-09T14:10:31.5221511Z lxml                   ------------------------------ 1.29 MiB/5.05 MiB
2025-09-09T14:10:31.5221713Z zstandard              ------------------------------ 1.15 MiB/5.30 MiB
2025-09-09T14:10:31.5221927Z virtualenv             ------------------------------ 1.20 MiB/5.71 MiB
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2025-09-09T14:10:31.5223797Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5223929Z    Building word2number==1.1
2025-09-09T14:10:31.5224161Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5224306Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5224515Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5224724Z async-timeout          ------------------------------ 6.09 KiB/6.09 KiB
2025-09-09T14:10:31.5224929Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5225126Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5225319Z peft                   ------------------------------ 396.67 KiB/493.06 KiB
2025-09-09T14:10:31.5225512Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5225743Z huggingface-hub        ------------------------------ 492.64 KiB/548.29 KiB
2025-09-09T14:10:31.5225951Z pygments               ------------------------------ 621.10 KiB/1.17 MiB
2025-09-09T14:10:31.5226169Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5226360Z nltk                   ------------------------------ 623.12 KiB/1.44 MiB
2025-09-09T14:10:31.5226561Z kiwisolver             ------------------------------ 1.26 MiB/1.53 MiB
2025-09-09T14:10:31.5226769Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5226983Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5227169Z hf-xet                 ------------------------------ 1.29 MiB/3.04 MiB
2025-09-09T14:10:31.5227466Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
2025-09-09T14:10:31.5227680Z fonttools              ------------------------------ 1.09 MiB/4.54 MiB
2025-09-09T14:10:31.5227866Z lxml                   ------------------------------ 1.31 MiB/5.05 MiB
2025-09-09T14:10:31.5228066Z zstandard              ------------------------------ 1.15 MiB/5.30 MiB
2025-09-09T14:10:31.5228272Z virtualenv             ------------------------------ 1.20 MiB/5.71 MiB
2025-09-09T14:10:31.5228574Z pillow                 ------------------------------ 1.18 MiB/6.32 MiB
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2025-09-09T14:10:31.5242464Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5242623Z    Building word2number==1.1
2025-09-09T14:10:31.5242768Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5242925Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5243152Z iniconfig              ------------------------------ 5.91 KiB/5.91 KiB
2025-09-09T14:10:31.5243513Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5243726Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5243935Z peft                   ------------------------------ 396.67 KiB/493.06 KiB
2025-09-09T14:10:31.5244137Z pytz                   ------------------------------ 140.01 KiB/497.29 KiB
2025-09-09T14:10:31.5244367Z huggingface-hub        ------------------------------ 492.64 KiB/548.29 KiB
2025-09-09T14:10:31.5244637Z pygments               ------------------------------ 621.10 KiB/1.17 MiB
2025-09-09T14:10:31.5244882Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5245078Z nltk                   ------------------------------ 623.12 KiB/1.44 MiB
2025-09-09T14:10:31.5245294Z kiwisolver             ------------------------------ 1.26 MiB/1.53 MiB
2025-09-09T14:10:31.5245512Z aiohttp                ------------------------------ 1022.74 KiB/1.56 MiB
2025-09-09T14:10:31.5245729Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5245924Z hf-xet                 ------------------------------ 1.29 MiB/3.04 MiB
2025-09-09T14:10:31.5246135Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
2025-09-09T14:10:31.5246334Z fonttools              ------------------------------ 1.09 MiB/4.54 MiB
2025-09-09T14:10:31.5246518Z lxml                   ------------------------------ 1.31 MiB/5.05 MiB
2025-09-09T14:10:31.5246722Z zstandard              ------------------------------ 1.15 MiB/5.30 MiB
2025-09-09T14:10:31.5247054Z virtualenv             ------------------------------ 1.20 MiB/5.71 MiB
2025-09-09T14:10:31.5247256Z pillow                 ------------------------------ 1.18 MiB/6.32 MiB
2025-09-09T14:10:31.5247473Z lm-eval                ------------------------------ 286.95 KiB/7.18 MiB
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2025-09-09T14:10:31.5567392Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5567591Z    Building word2number==1.1
2025-09-09T14:10:31.5567771Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5567983Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5568583Z typepy                 ------------------------------ 30.71 KiB/30.71 KiB
2025-09-09T14:10:31.5568849Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5569056Z peft                   ------------------------------ 396.67 KiB/493.06 KiB
2025-09-09T14:10:31.5569259Z pytz                   ------------------------------ 156.01 KiB/497.29 KiB
2025-09-09T14:10:31.5569775Z huggingface-hub        ------------------------------ 508.64 KiB/548.29 KiB
2025-09-09T14:10:31.5570001Z pygments               ------------------------------ 637.10 KiB/1.17 MiB
2025-09-09T14:10:31.5570223Z sentencepiece          ------------------------------ 1.21 MiB/1.32 MiB
2025-09-09T14:10:31.5570415Z nltk                   ------------------------------ 623.12 KiB/1.44 MiB
2025-09-09T14:10:31.5570621Z kiwisolver             ------------------------------ 1.26 MiB/1.53 MiB
2025-09-09T14:10:31.5570826Z aiohttp                ------------------------------ 1.01 MiB/1.56 MiB
2025-09-09T14:10:31.5571047Z pycryptodomex          ------------------------------ 498.80 KiB/2.17 MiB
2025-09-09T14:10:31.5571247Z hf-xet                 ------------------------------ 1.29 MiB/3.04 MiB
2025-09-09T14:10:31.5571463Z tokenizers             ------------------------------ 1.21 MiB/3.19 MiB
2025-09-09T14:10:31.5571662Z fonttools              ------------------------------ 1.12 MiB/4.54 MiB
2025-09-09T14:10:31.5571846Z lxml                   ------------------------------ 1.31 MiB/5.05 MiB
2025-09-09T14:10:31.5572053Z zstandard              ------------------------------ 1.15 MiB/5.30 MiB
2025-09-09T14:10:31.5572257Z virtualenv             ------------------------------ 1.20 MiB/5.71 MiB
2025-09-09T14:10:31.5572448Z pillow                 ------------------------------ 1.18 MiB/6.32 MiB
2025-09-09T14:10:31.5572657Z lm-eval                ------------------------------ 286.95 KiB/7.18 MiB
2025-09-09T14:10:31.5573180Z matplotlib             ------------------------------ 1.26 MiB/7.93 MiB
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2025-09-09T14:10:31.5575144Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5575296Z    Building word2number==1.1
2025-09-09T14:10:31.5575440Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5575591Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5575817Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5576016Z peft                   ------------------------------ 412.67 KiB/493.06 KiB
2025-09-09T14:10:31.5576208Z pytz                   ------------------------------ 156.01 KiB/497.29 KiB
2025-09-09T14:10:31.5576440Z huggingface-hub        ------------------------------ 524.64 KiB/548.29 KiB
2025-09-09T14:10:31.5576696Z pygments               ------------------------------ 653.10 KiB/1.17 MiB
2025-09-09T14:10:31.5576913Z sentencepiece          ------------------------------ 1.23 MiB/1.32 MiB
2025-09-09T14:10:31.5577226Z nltk                   ------------------------------ 623.12 KiB/1.44 MiB
2025-09-09T14:10:31.5577437Z kiwisolver             ------------------------------ 1.28 MiB/1.53 MiB
2025-09-09T14:10:31.5577635Z aiohttp                ------------------------------ 1.09 MiB/1.56 MiB
2025-09-09T14:10:31.5577874Z pycryptodomex          ------------------------------ 498.97 KiB/2.17 MiB
2025-09-09T14:10:31.5578064Z hf-xet                 ------------------------------ 1.31 MiB/3.04 MiB
2025-09-09T14:10:31.5578268Z tokenizers             ------------------------------ 1.26 MiB/3.19 MiB
2025-09-09T14:10:31.5578479Z fonttools              ------------------------------ 1.17 MiB/4.54 MiB
2025-09-09T14:10:31.5578665Z lxml                   ------------------------------ 1.35 MiB/5.05 MiB
2025-09-09T14:10:31.5578866Z zstandard              ------------------------------ 1.20 MiB/5.30 MiB
2025-09-09T14:10:31.5579081Z virtualenv             ------------------------------ 1.24 MiB/5.71 MiB
2025-09-09T14:10:31.5579273Z pillow                 ------------------------------ 1.22 MiB/6.32 MiB
2025-09-09T14:10:31.5579473Z lm-eval                ------------------------------ 286.95 KiB/7.18 MiB
2025-09-09T14:10:31.5579682Z matplotlib             ------------------------------ 1.28 MiB/7.93 MiB
2025-09-09T14:10:31.5579887Z ruff                   ------------------------------ 1.31 MiB/10.94 MiB
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2025-09-09T14:10:31.5581867Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5582005Z    Building word2number==1.1
2025-09-09T14:10:31.5582147Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5582284Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5582499Z tzdata                 ------------------------------ 110.05 KiB/339.69 KiB
2025-09-09T14:10:31.5582710Z peft                   ------------------------------ 460.67 KiB/493.06 KiB
2025-09-09T14:10:31.5582901Z pytz                   ------------------------------ 172.01 KiB/497.29 KiB
2025-09-09T14:10:31.5583113Z pygments               ------------------------------ 749.10 KiB/1.17 MiB
2025-09-09T14:10:31.5583331Z sentencepiece          ------------------------------ 1.29 MiB/1.32 MiB
2025-09-09T14:10:31.5583520Z nltk                   ------------------------------ 671.12 KiB/1.44 MiB
2025-09-09T14:10:31.5583728Z kiwisolver             ------------------------------ 1.35 MiB/1.53 MiB
2025-09-09T14:10:31.5583922Z aiohttp                ------------------------------ 1.36 MiB/1.56 MiB
2025-09-09T14:10:31.5584140Z pycryptodomex          ------------------------------ 575.00 KiB/2.17 MiB
2025-09-09T14:10:31.5584421Z hf-xet                 ------------------------------ 1.39 MiB/3.04 MiB
2025-09-09T14:10:31.5584622Z tokenizers             ------------------------------ 1.31 MiB/3.19 MiB
2025-09-09T14:10:31.5584820Z fonttools              ------------------------------ 1.21 MiB/4.54 MiB
2025-09-09T14:10:31.5585015Z lxml                   ------------------------------ 1.43 MiB/5.05 MiB
2025-09-09T14:10:31.5585223Z zstandard              ------------------------------ 1.24 MiB/5.30 MiB
2025-09-09T14:10:31.5585424Z virtualenv             ------------------------------ 1.31 MiB/5.71 MiB
2025-09-09T14:10:31.5585619Z pillow                 ------------------------------ 1.28 MiB/6.32 MiB
2025-09-09T14:10:31.5585813Z lm-eval                ------------------------------ 302.95 KiB/7.18 MiB
2025-09-09T14:10:31.5586021Z matplotlib             ------------------------------ 1.35 MiB/7.93 MiB
2025-09-09T14:10:31.5586210Z ruff                   ------------------------------ 1.38 MiB/10.94 MiB
2025-09-09T14:10:31.5586441Z transformers           ------------------------------ 1.10 MiB/11.07 MiB
2025-09-09T14:10:31.5586516Z 
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2025-09-09T14:10:31.5588394Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5588541Z    Building word2number==1.1
2025-09-09T14:10:31.5588677Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5588812Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5589026Z tzdata                 ------------------------------ 125.95 KiB/339.69 KiB
2025-09-09T14:10:31.5589222Z pytz                   ------------------------------ 172.01 KiB/497.29 KiB
2025-09-09T14:10:31.5589424Z pygments               ------------------------------ 781.10 KiB/1.17 MiB
2025-09-09T14:10:31.5589646Z sentencepiece          ------------------------------ 1.32 MiB/1.32 MiB
2025-09-09T14:10:31.5589841Z nltk                   ------------------------------ 671.12 KiB/1.44 MiB
2025-09-09T14:10:31.5590044Z kiwisolver             ------------------------------ 1.39 MiB/1.53 MiB
2025-09-09T14:10:31.5886606Z aiohttp                ------------------------------ 1.40 MiB/1.56 MiB
2025-09-09T14:10:31.5887577Z pycryptodomex          ------------------------------ 647.59 KiB/2.17 MiB
2025-09-09T14:10:31.5888182Z hf-xet                 ------------------------------ 1.42 MiB/3.04 MiB
2025-09-09T14:10:31.5888621Z tokenizers             ------------------------------ 1.34 MiB/3.19 MiB
2025-09-09T14:10:31.5889065Z fonttools              ------------------------------ 1.25 MiB/4.54 MiB
2025-09-09T14:10:31.5889506Z lxml                   ------------------------------ 1.45 MiB/5.05 MiB
2025-09-09T14:10:31.5890166Z zstandard              ------------------------------ 1.29 MiB/5.30 MiB
2025-09-09T14:10:31.5890811Z virtualenv             ------------------------------ 1.35 MiB/5.71 MiB
2025-09-09T14:10:31.5891279Z pillow                 ------------------------------ 1.32 MiB/6.32 MiB
2025-09-09T14:10:31.5891809Z lm-eval                ------------------------------ 302.95 KiB/7.18 MiB
2025-09-09T14:10:31.5892354Z matplotlib             ------------------------------ 1.39 MiB/7.93 MiB
2025-09-09T14:10:31.5892785Z ruff                   ------------------------------ 1.42 MiB/10.94 MiB
2025-09-09T14:10:31.5893315Z transformers           ------------------------------ 1.11 MiB/11.07 MiB
2025-09-09T14:10:31.5893782Z pandas                 ------------------------------ 1.38 MiB/11.79 MiB
2025-09-09T14:10:31.5894213Z 
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2025-09-09T14:10:31.5898117Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5898699Z    Building word2number==1.1
2025-09-09T14:10:31.5899151Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5899501Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5899990Z tzdata                 ------------------------------ 125.95 KiB/339.69 KiB
2025-09-09T14:10:31.5900424Z pytz                   ------------------------------ 172.01 KiB/497.29 KiB
2025-09-09T14:10:31.5900975Z pygments               ------------------------------ 797.10 KiB/1.17 MiB
2025-09-09T14:10:31.5901441Z sentencepiece          ------------------------------ 1.32 MiB/1.32 MiB
2025-09-09T14:10:31.5901983Z nltk                   ------------------------------ 701.85 KiB/1.44 MiB
2025-09-09T14:10:31.5902487Z kiwisolver             ------------------------------ 1.42 MiB/1.53 MiB
2025-09-09T14:10:31.5902958Z aiohttp                ------------------------------ 1.40 MiB/1.56 MiB
2025-09-09T14:10:31.5903585Z pycryptodomex          ------------------------------ 647.59 KiB/2.17 MiB
2025-09-09T14:10:31.5904070Z hf-xet                 ------------------------------ 1.42 MiB/3.04 MiB
2025-09-09T14:10:31.5904597Z tokenizers             ------------------------------ 1.34 MiB/3.19 MiB
2025-09-09T14:10:31.5905138Z fonttools              ------------------------------ 1.29 MiB/4.54 MiB
2025-09-09T14:10:31.5905551Z lxml                   ------------------------------ 1.48 MiB/5.05 MiB
2025-09-09T14:10:31.5906068Z zstandard              ------------------------------ 1.29 MiB/5.30 MiB
2025-09-09T14:10:31.5906485Z virtualenv             ------------------------------ 1.35 MiB/5.71 MiB
2025-09-09T14:10:31.5907163Z pillow                 ------------------------------ 1.36 MiB/6.32 MiB
2025-09-09T14:10:31.5907691Z lm-eval                ------------------------------ 302.95 KiB/7.18 MiB
2025-09-09T14:10:31.5908129Z matplotlib             ------------------------------ 1.39 MiB/7.93 MiB
2025-09-09T14:10:31.5908663Z ruff                   ------------------------------ 1.42 MiB/10.94 MiB
2025-09-09T14:10:31.5909091Z transformers           ------------------------------ 1.11 MiB/11.07 MiB
2025-09-09T14:10:31.5909642Z pandas                 ------------------------------ 1.38 MiB/11.79 MiB
2025-09-09T14:10:31.5909952Z 
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2025-09-09T14:10:31.5914003Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5914429Z    Building word2number==1.1
2025-09-09T14:10:31.5914749Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5915082Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5915659Z tzdata                 ------------------------------ 125.95 KiB/339.69 KiB
2025-09-09T14:10:31.5916230Z pytz                   ------------------------------ 172.01 KiB/497.29 KiB
2025-09-09T14:10:31.5916660Z pygments               ------------------------------ 813.10 KiB/1.17 MiB
2025-09-09T14:10:31.5917186Z nltk                   ------------------------------ 717.85 KiB/1.44 MiB
2025-09-09T14:10:31.5917604Z kiwisolver             ------------------------------ 1.42 MiB/1.53 MiB
2025-09-09T14:10:31.5918138Z aiohttp                ------------------------------ 1.41 MiB/1.56 MiB
2025-09-09T14:10:31.5918684Z pycryptodomex          ------------------------------ 663.59 KiB/2.17 MiB
2025-09-09T14:10:31.5919130Z hf-xet                 ------------------------------ 1.43 MiB/3.04 MiB
2025-09-09T14:10:31.5919668Z tokenizers             ------------------------------ 1.35 MiB/3.19 MiB
2025-09-09T14:10:31.5920097Z fonttools              ------------------------------ 1.29 MiB/4.54 MiB
2025-09-09T14:10:31.5920621Z lxml                   ------------------------------ 1.48 MiB/5.05 MiB
2025-09-09T14:10:31.5921070Z zstandard              ------------------------------ 1.30 MiB/5.30 MiB
2025-09-09T14:10:31.5921557Z virtualenv             ------------------------------ 1.37 MiB/5.71 MiB
2025-09-09T14:10:31.5922170Z pillow                 ------------------------------ 1.36 MiB/6.32 MiB
2025-09-09T14:10:31.5922757Z lm-eval                ------------------------------ 302.95 KiB/7.18 MiB
2025-09-09T14:10:31.5923264Z matplotlib             ------------------------------ 1.40 MiB/7.93 MiB
2025-09-09T14:10:31.5923779Z ruff                   ------------------------------ 1.45 MiB/10.94 MiB
2025-09-09T14:10:31.5924368Z transformers           ------------------------------ 1.11 MiB/11.07 MiB
2025-09-09T14:10:31.5924933Z pandas                 ------------------------------ 1.42 MiB/11.79 MiB
2025-09-09T14:10:31.5925376Z scikit-learn           ------------------------------ 1.45 MiB/12.89 MiB
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2025-09-09T14:10:31.5929393Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.5929718Z    Building word2number==1.1
2025-09-09T14:10:31.5930025Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.5930339Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.5930720Z tzdata                 ------------------------------ 125.95 KiB/339.69 KiB
2025-09-09T14:10:31.5931223Z pytz                   ------------------------------ 188.01 KiB/497.29 KiB
2025-09-09T14:10:31.5931646Z pygments               ------------------------------ 909.10 KiB/1.17 MiB
2025-09-09T14:10:31.5932207Z nltk                   ------------------------------ 847.12 KiB/1.44 MiB
2025-09-09T14:10:31.5932779Z aiohttp                ------------------------------ 1.54 MiB/1.56 MiB
2025-09-09T14:10:31.5933228Z pycryptodomex          ------------------------------ 767.10 KiB/2.17 MiB
2025-09-09T14:10:31.5933662Z hf-xet                 ------------------------------ 1.54 MiB/3.04 MiB
2025-09-09T14:10:31.5934074Z tokenizers             ------------------------------ 1.48 MiB/3.19 MiB
2025-09-09T14:10:31.5934510Z fonttools              ------------------------------ 1.38 MiB/4.54 MiB
2025-09-09T14:10:31.5934924Z lxml                   ------------------------------ 1.59 MiB/5.05 MiB
2025-09-09T14:10:31.5935323Z zstandard              ------------------------------ 1.43 MiB/5.30 MiB
2025-09-09T14:10:31.5935760Z virtualenv             ------------------------------ 1.48 MiB/5.71 MiB
2025-09-09T14:10:31.5936177Z pillow                 ------------------------------ 1.46 MiB/6.32 MiB
2025-09-09T14:10:31.5936591Z lm-eval                ------------------------------ 302.95 KiB/7.18 MiB
2025-09-09T14:10:31.5937012Z matplotlib             ------------------------------ 1.53 MiB/7.93 MiB
2025-09-09T14:10:31.5937423Z ruff                   ------------------------------ 1.56 MiB/10.94 MiB
2025-09-09T14:10:31.6832215Z transformers           ------------------------------ 1.18 MiB/11.07 MiB
2025-09-09T14:10:31.6833244Z pandas                 ------------------------------ 1.51 MiB/11.79 MiB
2025-09-09T14:10:31.6834176Z scikit-learn           ------------------------------ 1.56 MiB/12.89 MiB
2025-09-09T14:10:31.6835228Z numpy                  ------------------------------ 1.51 MiB/18.62 MiB
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2025-09-09T14:10:31.6840575Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.6840941Z    Building word2number==1.1
2025-09-09T14:10:31.6841271Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.6841614Z ⠸ Preparing packages... (36/107)
2025-09-09T14:10:31.6842011Z tzdata                 ------------------------------ 141.95 KiB/339.69 KiB
2025-09-09T14:10:31.6842755Z pytz                   ------------------------------ 204.01 KiB/497.29 KiB
2025-09-09T14:10:31.6843309Z pygments               ------------------------------ 941.10 KiB/1.17 MiB
2025-09-09T14:10:31.6843730Z nltk                   ------------------------------ 879.12 KiB/1.44 MiB
2025-09-09T14:10:31.6844134Z aiohttp                ------------------------------ 1.56 MiB/1.56 MiB
2025-09-09T14:10:31.6844580Z pycryptodomex          ------------------------------ 1.35 MiB/2.17 MiB
2025-09-09T14:10:31.6845215Z hf-xet                 ------------------------------ 1.60 MiB/3.04 MiB
2025-09-09T14:10:31.6845667Z tokenizers             ------------------------------ 1.57 MiB/3.19 MiB
2025-09-09T14:10:31.6846095Z fonttools              ------------------------------ 1.48 MiB/4.54 MiB
2025-09-09T14:10:31.6846689Z lxml                   ------------------------------ 1.71 MiB/5.05 MiB
2025-09-09T14:10:31.6847193Z zstandard              ------------------------------ 1.51 MiB/5.30 MiB
2025-09-09T14:10:31.6847616Z virtualenv             ------------------------------ 1.57 MiB/5.71 MiB
2025-09-09T14:10:31.6848028Z pillow                 ------------------------------ 1.56 MiB/6.32 MiB
2025-09-09T14:10:31.6848446Z lm-eval                ------------------------------ 302.95 KiB/7.18 MiB
2025-09-09T14:10:31.6848875Z matplotlib             ------------------------------ 1.62 MiB/7.93 MiB
2025-09-09T14:10:31.6849288Z ruff                   ------------------------------ 1.68 MiB/10.94 MiB
2025-09-09T14:10:31.6849712Z transformers           ------------------------------ 1.24 MiB/11.07 MiB
2025-09-09T14:10:31.6850222Z pandas                 ------------------------------ 1.63 MiB/11.79 MiB
2025-09-09T14:10:31.6850641Z scikit-learn           ------------------------------ 1.65 MiB/12.89 MiB
2025-09-09T14:10:31.6851063Z numpy                  ------------------------------ 1.62 MiB/18.62 MiB
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2025-09-09T14:10:31.6854954Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.6855543Z    Building word2number==1.1
2025-09-09T14:10:31.6856025Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.6856360Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.6856753Z tzdata                 ------------------------------ 141.95 KiB/339.69 KiB
2025-09-09T14:10:31.6857192Z pytz                   ------------------------------ 204.01 KiB/497.29 KiB
2025-09-09T14:10:31.6857616Z pygments               ------------------------------ 957.10 KiB/1.17 MiB
2025-09-09T14:10:31.6858030Z nltk                   ------------------------------ 911.12 KiB/1.44 MiB
2025-09-09T14:10:31.6858633Z pycryptodomex          ------------------------------ 1.59 MiB/2.17 MiB
2025-09-09T14:10:31.6859437Z hf-xet                 ------------------------------ 1.71 MiB/3.04 MiB
2025-09-09T14:10:31.6859969Z tokenizers             ------------------------------ 1.68 MiB/3.19 MiB
2025-09-09T14:10:31.6860405Z fonttools              ------------------------------ 1.57 MiB/4.54 MiB
2025-09-09T14:10:31.6860924Z lxml                   ------------------------------ 1.78 MiB/5.05 MiB
2025-09-09T14:10:31.6861399Z zstandard              ------------------------------ 1.60 MiB/5.30 MiB
2025-09-09T14:10:31.6862155Z virtualenv             ------------------------------ 1.65 MiB/5.71 MiB
2025-09-09T14:10:31.6862905Z pillow                 ------------------------------ 1.59 MiB/6.32 MiB
2025-09-09T14:10:31.6863359Z lm-eval                ------------------------------ 302.95 KiB/7.18 MiB
2025-09-09T14:10:31.6863815Z matplotlib             ------------------------------ 1.70 MiB/7.93 MiB
2025-09-09T14:10:31.6864457Z ruff                   ------------------------------ 1.75 MiB/10.94 MiB
2025-09-09T14:10:31.6865153Z transformers           ------------------------------ 1.26 MiB/11.07 MiB
2025-09-09T14:10:31.6865990Z pandas                 ------------------------------ 1.71 MiB/11.79 MiB
2025-09-09T14:10:31.6866676Z scikit-learn           ------------------------------ 1.75 MiB/12.89 MiB
2025-09-09T14:10:31.6867103Z numpy                  ------------------------------ 1.70 MiB/18.62 MiB
2025-09-09T14:10:31.6867525Z cmake                  ------------------------------ 366.23 KiB/26.51 MiB
2025-09-09T14:10:31.6867819Z 
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2025-09-09T14:10:31.6872642Z    Building sqlitedict==2.1.0
2025-09-09T14:10:31.6872977Z    Building word2number==1.1
2025-09-09T14:10:31.6873290Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.6873618Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.6874005Z tzdata                 ------------------------------ 158.05 KiB/339.69 KiB
2025-09-09T14:10:31.6874673Z pytz                   ------------------------------ 222.87 KiB/497.29 KiB
2025-09-09T14:10:31.6875502Z pygments               ------------------------------ 1.03 MiB/1.17 MiB
2025-09-09T14:10:31.6876026Z nltk                   ------------------------------ 991.12 KiB/1.44 MiB
2025-09-09T14:10:31.6876469Z pycryptodomex          ------------------------------ 1.86 MiB/2.17 MiB
2025-09-09T14:10:31.6876899Z hf-xet                 ------------------------------ 1.92 MiB/3.04 MiB
2025-09-09T14:10:31.6877302Z tokenizers             ------------------------------ 1.92 MiB/3.19 MiB
2025-09-09T14:10:31.6877722Z fonttools              ------------------------------ 1.82 MiB/4.54 MiB
2025-09-09T14:10:31.6878118Z lxml                   ------------------------------ 1.98 MiB/5.05 MiB
2025-09-09T14:10:31.6878528Z zstandard              ------------------------------ 1.84 MiB/5.30 MiB
2025-09-09T14:10:31.6879042Z virtualenv             ------------------------------ 1.85 MiB/5.71 MiB
2025-09-09T14:10:31.6879706Z pillow                 ------------------------------ 1.87 MiB/6.32 MiB
2025-09-09T14:10:31.6880168Z lm-eval                ------------------------------ 306.98 KiB/7.18 MiB
2025-09-09T14:10:31.6880962Z matplotlib             ------------------------------ 1.95 MiB/7.93 MiB
2025-09-09T14:10:31.6881441Z ruff                   ------------------------------ 1.97 MiB/10.94 MiB
2025-09-09T14:10:31.6881875Z transformers           ------------------------------ 1.40 MiB/11.07 MiB
2025-09-09T14:10:31.6882308Z pandas                 ------------------------------ 1.96 MiB/11.79 MiB
2025-09-09T14:10:31.6882835Z scikit-learn           ------------------------------ 1.92 MiB/12.89 MiB
2025-09-09T14:10:31.6883245Z numpy                  ------------------------------ 1.91 MiB/18.62 MiB
2025-09-09T14:10:31.6883689Z cmake                  ------------------------------ 382.23 KiB/26.51 MiB
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2025-09-09T14:10:31.6887432Z       Built sqlitedict==2.1.0
2025-09-09T14:10:31.6887992Z    Building word2number==1.1
2025-09-09T14:10:31.6888419Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.6888738Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.6889128Z tzdata                 ------------------------------ 158.05 KiB/339.69 KiB
2025-09-09T14:10:31.7150693Z pytz                   ------------------------------ 238.87 KiB/497.29 KiB
2025-09-09T14:10:31.7151592Z pygments               ------------------------------ 1.07 MiB/1.17 MiB
2025-09-09T14:10:31.7152140Z nltk                   ------------------------------ 1.06 MiB/1.44 MiB
2025-09-09T14:10:31.7152982Z pycryptodomex          ------------------------------ 1.95 MiB/2.17 MiB
2025-09-09T14:10:31.7154020Z hf-xet                 ------------------------------ 2.04 MiB/3.04 MiB
2025-09-09T14:10:31.7154800Z tokenizers             ------------------------------ 2.03 MiB/3.19 MiB
2025-09-09T14:10:31.7155765Z fonttools              ------------------------------ 1.87 MiB/4.54 MiB
2025-09-09T14:10:31.7156590Z lxml                   ------------------------------ 2.10 MiB/5.05 MiB
2025-09-09T14:10:31.7157556Z zstandard              ------------------------------ 1.91 MiB/5.30 MiB
2025-09-09T14:10:31.7158599Z virtualenv             ------------------------------ 1.96 MiB/5.71 MiB
2025-09-09T14:10:31.7159291Z pillow                 ------------------------------ 1.98 MiB/6.32 MiB
2025-09-09T14:10:31.7159739Z lm-eval                ------------------------------ 322.98 KiB/7.18 MiB
2025-09-09T14:10:31.7160168Z matplotlib             ------------------------------ 2.05 MiB/7.93 MiB
2025-09-09T14:10:31.7160852Z ruff                   ------------------------------ 2.08 MiB/10.94 MiB
2025-09-09T14:10:31.7161599Z transformers           ------------------------------ 1.52 MiB/11.07 MiB
2025-09-09T14:10:31.7162257Z pandas                 ------------------------------ 2.04 MiB/11.79 MiB
2025-09-09T14:10:31.7162796Z scikit-learn           ------------------------------ 2.00 MiB/12.89 MiB
2025-09-09T14:10:31.7163207Z numpy                  ------------------------------ 2.01 MiB/18.62 MiB
2025-09-09T14:10:31.7163648Z cmake                  ------------------------------ 382.23 KiB/26.51 MiB
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2025-09-09T14:10:31.7167261Z       Built word2number==1.1
2025-09-09T14:10:31.7167606Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.7167953Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.7168895Z tzdata                 ------------------------------ 158.05 KiB/339.69 KiB
2025-09-09T14:10:31.7169356Z pytz                   ------------------------------ 238.87 KiB/497.29 KiB
2025-09-09T14:10:31.7169996Z pygments               ------------------------------ 1.07 MiB/1.17 MiB
2025-09-09T14:10:31.7170413Z nltk                   ------------------------------ 1.06 MiB/1.44 MiB
2025-09-09T14:10:31.7170838Z pycryptodomex          ------------------------------ 1.95 MiB/2.17 MiB
2025-09-09T14:10:31.7171271Z hf-xet                 ------------------------------ 2.04 MiB/3.04 MiB
2025-09-09T14:10:31.7171682Z tokenizers             ------------------------------ 2.03 MiB/3.19 MiB
2025-09-09T14:10:31.7172101Z fonttools              ------------------------------ 1.89 MiB/4.54 MiB
2025-09-09T14:10:31.7172582Z lxml                   ------------------------------ 2.10 MiB/5.05 MiB
2025-09-09T14:10:31.7173360Z zstandard              ------------------------------ 1.93 MiB/5.30 MiB
2025-09-09T14:10:31.7174073Z virtualenv             ------------------------------ 1.97 MiB/5.71 MiB
2025-09-09T14:10:31.7174499Z pillow                 ------------------------------ 2.00 MiB/6.32 MiB
2025-09-09T14:10:31.7174919Z lm-eval                ------------------------------ 322.98 KiB/7.18 MiB
2025-09-09T14:10:31.7175339Z matplotlib             ------------------------------ 2.07 MiB/7.93 MiB
2025-09-09T14:10:31.7175756Z ruff                   ------------------------------ 2.08 MiB/10.94 MiB
2025-09-09T14:10:31.7176191Z transformers           ------------------------------ 1.53 MiB/11.07 MiB
2025-09-09T14:10:31.7176608Z pandas                 ------------------------------ 2.04 MiB/11.79 MiB
2025-09-09T14:10:31.7177173Z scikit-learn           ------------------------------ 2.00 MiB/12.89 MiB
2025-09-09T14:10:31.7177614Z numpy                  ------------------------------ 2.02 MiB/18.62 MiB
2025-09-09T14:10:31.7178019Z cmake                  ------------------------------ 382.23 KiB/26.51 MiB
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2025-09-09T14:10:31.7182591Z    Building rouge-score==0.1.2
2025-09-09T14:10:31.7182923Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.7183309Z tzdata                 ------------------------------ 174.05 KiB/339.69 KiB
2025-09-09T14:10:31.7183715Z pytz                   ------------------------------ 254.87 KiB/497.29 KiB
2025-09-09T14:10:31.7184127Z pygments               ------------------------------ 1.11 MiB/1.17 MiB
2025-09-09T14:10:31.7184531Z nltk                   ------------------------------ 1.12 MiB/1.44 MiB
2025-09-09T14:10:31.7184954Z pycryptodomex          ------------------------------ 2.03 MiB/2.17 MiB
2025-09-09T14:10:31.7185532Z hf-xet                 ------------------------------ 2.15 MiB/3.04 MiB
2025-09-09T14:10:31.7185942Z tokenizers             ------------------------------ 2.15 MiB/3.19 MiB
2025-09-09T14:10:31.7186365Z fonttools              ------------------------------ 2.01 MiB/4.54 MiB
2025-09-09T14:10:31.7186885Z lxml                   ------------------------------ 2.20 MiB/5.05 MiB
2025-09-09T14:10:31.7187368Z zstandard              ------------------------------ 2.05 MiB/5.30 MiB
2025-09-09T14:10:31.7187788Z virtualenv             ------------------------------ 2.07 MiB/5.71 MiB
2025-09-09T14:10:31.7188194Z pillow                 ------------------------------ 2.10 MiB/6.32 MiB
2025-09-09T14:10:31.7188623Z lm-eval                ------------------------------ 322.98 KiB/7.18 MiB
2025-09-09T14:10:31.7189122Z matplotlib             ------------------------------ 2.18 MiB/7.93 MiB
2025-09-09T14:10:31.7189537Z ruff                   ------------------------------ 2.21 MiB/10.94 MiB
2025-09-09T14:10:31.7189960Z transformers           ------------------------------ 1.65 MiB/11.07 MiB
2025-09-09T14:10:31.7190376Z pandas                 ------------------------------ 2.11 MiB/11.79 MiB
2025-09-09T14:10:31.7190794Z scikit-learn           ------------------------------ 2.15 MiB/12.89 MiB
2025-09-09T14:10:31.7191205Z numpy                  ------------------------------ 2.14 MiB/18.62 MiB
2025-09-09T14:10:31.7191607Z cmake                  ------------------------------ 382.23 KiB/26.51 MiB
2025-09-09T14:10:31.7192116Z scipy                  ------------------------------ 2.01 MiB/36.82 MiB
2025-09-09T14:10:31.7192552Z pyarrow                ------------------------------ 2.19 MiB/40.77 MiB
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2025-09-09T14:10:31.7196342Z       Built rouge-score==0.1.2
2025-09-09T14:10:31.7196656Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.7197035Z tzdata                 ------------------------------ 174.05 KiB/339.69 KiB
2025-09-09T14:10:31.7197445Z pytz                   ------------------------------ 268.01 KiB/497.29 KiB
2025-09-09T14:10:31.7197846Z pygments               ------------------------------ 1.12 MiB/1.17 MiB
2025-09-09T14:10:31.7198250Z nltk                   ------------------------------ 1.15 MiB/1.44 MiB
2025-09-09T14:10:31.7198665Z pycryptodomex          ------------------------------ 2.05 MiB/2.17 MiB
2025-09-09T14:10:31.7199075Z hf-xet                 ------------------------------ 2.15 MiB/3.04 MiB
2025-09-09T14:10:31.7199487Z tokenizers             ------------------------------ 2.16 MiB/3.19 MiB
2025-09-09T14:10:31.7200009Z fonttools              ------------------------------ 2.02 MiB/4.54 MiB
2025-09-09T14:10:31.7200409Z lxml                   ------------------------------ 2.22 MiB/5.05 MiB
2025-09-09T14:10:31.7200812Z zstandard              ------------------------------ 2.07 MiB/5.30 MiB
2025-09-09T14:10:31.7201221Z virtualenv             ------------------------------ 2.09 MiB/5.71 MiB
2025-09-09T14:10:31.8014342Z pillow                 ------------------------------ 2.10 MiB/6.32 MiB
2025-09-09T14:10:31.8014996Z lm-eval                ------------------------------ 334.95 KiB/7.18 MiB
2025-09-09T14:10:31.8015560Z matplotlib             ------------------------------ 2.19 MiB/7.93 MiB
2025-09-09T14:10:31.8016118Z ruff                   ------------------------------ 2.22 MiB/10.94 MiB
2025-09-09T14:10:31.8016659Z transformers           ------------------------------ 1.73 MiB/11.07 MiB
2025-09-09T14:10:31.8017204Z pandas                 ------------------------------ 2.13 MiB/11.79 MiB
2025-09-09T14:10:31.8017722Z scikit-learn           ------------------------------ 2.16 MiB/12.89 MiB
2025-09-09T14:10:31.8018233Z numpy                  ------------------------------ 2.16 MiB/18.62 MiB
2025-09-09T14:10:31.8018691Z cmake                  ------------------------------ 382.23 KiB/26.51 MiB
2025-09-09T14:10:31.8019093Z scipy                  ------------------------------ 2.02 MiB/36.82 MiB
2025-09-09T14:10:31.8019523Z pyarrow                ------------------------------ 2.21 MiB/40.77 MiB
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2025-09-09T14:10:31.8023209Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.8023439Z tzdata                 ------------------------------ 190.05 KiB/339.69 KiB
2025-09-09T14:10:31.8023646Z pytz                   ------------------------------ 268.01 KiB/497.29 KiB
2025-09-09T14:10:31.8023848Z nltk                   ------------------------------ 1.17 MiB/1.44 MiB
2025-09-09T14:10:31.8024082Z pycryptodomex          ------------------------------ 2.11 MiB/2.17 MiB
2025-09-09T14:10:31.8024275Z hf-xet                 ------------------------------ 2.24 MiB/3.04 MiB
2025-09-09T14:10:31.8024476Z tokenizers             ------------------------------ 2.24 MiB/3.19 MiB
2025-09-09T14:10:31.8024677Z fonttools              ------------------------------ 2.13 MiB/4.54 MiB
2025-09-09T14:10:31.8024863Z lxml                   ------------------------------ 2.30 MiB/5.05 MiB
2025-09-09T14:10:31.8025059Z zstandard              ------------------------------ 2.14 MiB/5.30 MiB
2025-09-09T14:10:31.8025264Z virtualenv             ------------------------------ 2.18 MiB/5.71 MiB
2025-09-09T14:10:31.8025628Z pillow                 ------------------------------ 2.19 MiB/6.32 MiB
2025-09-09T14:10:31.8025833Z lm-eval                ------------------------------ 334.95 KiB/7.18 MiB
2025-09-09T14:10:31.8026064Z matplotlib             ------------------------------ 2.27 MiB/7.93 MiB
2025-09-09T14:10:31.8026258Z ruff                   ------------------------------ 2.31 MiB/10.94 MiB
2025-09-09T14:10:31.8026472Z transformers           ------------------------------ 1.80 MiB/11.07 MiB
2025-09-09T14:10:31.8026673Z pandas                 ------------------------------ 2.24 MiB/11.79 MiB
2025-09-09T14:10:31.8026881Z scikit-learn           ------------------------------ 2.27 MiB/12.89 MiB
2025-09-09T14:10:31.8027074Z numpy                  ------------------------------ 2.25 MiB/18.62 MiB
2025-09-09T14:10:31.8027280Z cmake                  ------------------------------ 382.23 KiB/26.51 MiB
2025-09-09T14:10:31.8027469Z scipy                  ------------------------------ 2.10 MiB/36.82 MiB
2025-09-09T14:10:31.8027662Z pyarrow                ------------------------------ 2.30 MiB/40.77 MiB
2025-09-09T14:10:31.8027916Z bitsandbytes           ------------------------------ 2.20 MiB/58.45 MiB        
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2025-09-09T14:10:31.8030338Z tzdata                 ------------------------------ 206.05 KiB/339.69 KiB
2025-09-09T14:10:31.8030542Z pytz                   ------------------------------ 305.01 KiB/497.29 KiB
2025-09-09T14:10:31.8030735Z nltk                   ------------------------------ 1.26 MiB/1.44 MiB
2025-09-09T14:10:31.8030951Z pycryptodomex          ------------------------------ 2.17 MiB/2.17 MiB
2025-09-09T14:10:31.8031153Z hf-xet                 ------------------------------ 2.38 MiB/3.04 MiB
2025-09-09T14:10:31.8031361Z tokenizers             ------------------------------ 2.38 MiB/3.19 MiB
2025-09-09T14:10:31.8031559Z fonttools              ------------------------------ 2.26 MiB/4.54 MiB
2025-09-09T14:10:31.8031746Z lxml                   ------------------------------ 2.42 MiB/5.05 MiB
2025-09-09T14:10:31.8031945Z zstandard              ------------------------------ 2.27 MiB/5.30 MiB
2025-09-09T14:10:31.8032146Z virtualenv             ------------------------------ 2.32 MiB/5.71 MiB
2025-09-09T14:10:31.8032337Z pillow                 ------------------------------ 2.33 MiB/6.32 MiB
2025-09-09T14:10:31.8032543Z lm-eval                ------------------------------ 350.95 KiB/7.18 MiB
2025-09-09T14:10:31.8032748Z matplotlib             ------------------------------ 2.36 MiB/7.93 MiB
2025-09-09T14:10:31.8033047Z ruff                   ------------------------------ 2.46 MiB/10.94 MiB
2025-09-09T14:10:31.8033267Z transformers           ------------------------------ 2.01 MiB/11.07 MiB
2025-09-09T14:10:31.8033462Z pandas                 ------------------------------ 2.36 MiB/11.79 MiB
2025-09-09T14:10:31.8033674Z scikit-learn           ------------------------------ 2.40 MiB/12.89 MiB
2025-09-09T14:10:31.8033871Z numpy                  ------------------------------ 2.41 MiB/18.62 MiB
2025-09-09T14:10:31.8034069Z cmake                  ------------------------------ 398.23 KiB/26.51 MiB
2025-09-09T14:10:31.8034256Z scipy                  ------------------------------ 2.23 MiB/36.82 MiB
2025-09-09T14:10:31.8034461Z pyarrow                ------------------------------ 2.44 MiB/40.77 MiB
2025-09-09T14:10:31.8034705Z bitsandbytes           ------------------------------ 2.35 MiB/58.45 MiB        
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2025-09-09T14:10:31.8036778Z tzdata                 ------------------------------ 206.05 KiB/339.69 KiB
2025-09-09T14:10:31.8036977Z pytz                   ------------------------------ 305.01 KiB/497.29 KiB
2025-09-09T14:10:31.8037165Z nltk                   ------------------------------ 1.26 MiB/1.44 MiB
2025-09-09T14:10:31.8037363Z hf-xet                 ------------------------------ 2.40 MiB/3.04 MiB
2025-09-09T14:10:31.8037570Z tokenizers             ------------------------------ 2.38 MiB/3.19 MiB
2025-09-09T14:10:31.8037769Z fonttools              ------------------------------ 2.26 MiB/4.54 MiB
2025-09-09T14:10:31.8037958Z lxml                   ------------------------------ 2.44 MiB/5.05 MiB
2025-09-09T14:10:31.8038172Z zstandard              ------------------------------ 2.29 MiB/5.30 MiB
2025-09-09T14:10:31.8038382Z virtualenv             ------------------------------ 2.32 MiB/5.71 MiB
2025-09-09T14:10:31.8038580Z pillow                 ------------------------------ 2.33 MiB/6.32 MiB
2025-09-09T14:10:31.8038779Z lm-eval                ------------------------------ 350.95 KiB/7.18 MiB
2025-09-09T14:10:31.8038991Z matplotlib             ------------------------------ 2.38 MiB/7.93 MiB
2025-09-09T14:10:31.8039187Z ruff                   ------------------------------ 2.46 MiB/10.94 MiB
2025-09-09T14:10:31.8039554Z transformers           ------------------------------ 2.01 MiB/11.07 MiB
2025-09-09T14:10:31.8039946Z pandas                 ------------------------------ 2.36 MiB/11.79 MiB
2025-09-09T14:10:31.8040274Z scikit-learn           ------------------------------ 2.40 MiB/12.89 MiB
2025-09-09T14:10:31.8040620Z numpy                  ------------------------------ 2.41 MiB/18.62 MiB
2025-09-09T14:10:31.8040826Z cmake                  ------------------------------ 398.23 KiB/26.51 MiB
2025-09-09T14:10:31.8041125Z scipy                  ------------------------------ 2.24 MiB/36.82 MiB
2025-09-09T14:10:31.8041512Z pyarrow                ------------------------------ 2.46 MiB/40.77 MiB
2025-09-09T14:10:31.8718851Z bitsandbytes           ------------------------------ 2.35 MiB/58.45 MiB        
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2025-09-09T14:10:31.8721469Z ⠼ Preparing packages... (80/107)
2025-09-09T14:10:31.8721757Z tzdata                 ------------------------------ 222.05 KiB/339.69 KiB
2025-09-09T14:10:31.8722000Z pytz                   ------------------------------ 332.01 KiB/497.29 KiB
2025-09-09T14:10:31.8722255Z hf-xet                 ------------------------------ 2.63 MiB/3.04 MiB
2025-09-09T14:10:31.8722881Z tokenizers             ------------------------------ 2.61 MiB/3.19 MiB
2025-09-09T14:10:31.8723168Z fonttools              ------------------------------ 2.46 MiB/4.54 MiB
2025-09-09T14:10:31.8723411Z lxml                   ------------------------------ 2.63 MiB/5.05 MiB
2025-09-09T14:10:31.8723671Z zstandard              ------------------------------ 2.52 MiB/5.30 MiB
2025-09-09T14:10:31.8723930Z virtualenv             ------------------------------ 2.57 MiB/5.71 MiB
2025-09-09T14:10:31.8724174Z pillow                 ------------------------------ 2.57 MiB/6.32 MiB
2025-09-09T14:10:31.8724440Z lm-eval                ------------------------------ 352.87 KiB/7.18 MiB
2025-09-09T14:10:31.8724695Z matplotlib             ------------------------------ 2.63 MiB/7.93 MiB
2025-09-09T14:10:31.8724939Z ruff                   ------------------------------ 2.71 MiB/10.94 MiB
2025-09-09T14:10:31.8725212Z transformers           ------------------------------ 2.19 MiB/11.07 MiB
2025-09-09T14:10:31.8725459Z pandas                 ------------------------------ 2.60 MiB/11.79 MiB
2025-09-09T14:10:31.8725716Z scikit-learn           ------------------------------ 2.65 MiB/12.89 MiB
2025-09-09T14:10:31.8725949Z numpy                  ------------------------------ 2.64 MiB/18.62 MiB
2025-09-09T14:10:31.8726204Z cmake                  ------------------------------ 414.34 KiB/26.51 MiB
2025-09-09T14:10:31.8726439Z scipy                  ------------------------------ 2.49 MiB/36.82 MiB
2025-09-09T14:10:31.8726711Z pyarrow                ------------------------------ 2.66 MiB/40.77 MiB
2025-09-09T14:10:31.8727017Z bitsandbytes           ------------------------------ 2.58 MiB/58.45 MiB        
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2025-09-09T14:10:31.8729263Z tzdata                 ------------------------------ 222.05 KiB/339.69 KiB
2025-09-09T14:10:31.8729468Z pytz                   ------------------------------ 332.01 KiB/497.29 KiB
2025-09-09T14:10:31.8729678Z hf-xet                 ------------------------------ 2.69 MiB/3.04 MiB
2025-09-09T14:10:31.8729887Z tokenizers             ------------------------------ 2.65 MiB/3.19 MiB
2025-09-09T14:10:31.8730089Z fonttools              ------------------------------ 2.49 MiB/4.54 MiB
2025-09-09T14:10:31.8730279Z lxml                   ------------------------------ 2.68 MiB/5.05 MiB
2025-09-09T14:10:31.8730477Z zstandard              ------------------------------ 2.57 MiB/5.30 MiB
2025-09-09T14:10:31.8730678Z virtualenv             ------------------------------ 2.63 MiB/5.71 MiB
2025-09-09T14:10:31.8730900Z pillow                 ------------------------------ 2.60 MiB/6.32 MiB
2025-09-09T14:10:31.8731311Z lm-eval                ------------------------------ 368.87 KiB/7.18 MiB
2025-09-09T14:10:31.8731542Z matplotlib             ------------------------------ 2.66 MiB/7.93 MiB
2025-09-09T14:10:31.8731742Z ruff                   ------------------------------ 2.76 MiB/10.94 MiB
2025-09-09T14:10:31.8731954Z transformers           ------------------------------ 2.24 MiB/11.07 MiB
2025-09-09T14:10:31.8732144Z pandas                 ------------------------------ 2.65 MiB/11.79 MiB
2025-09-09T14:10:31.8732360Z scikit-learn           ------------------------------ 2.71 MiB/12.89 MiB
2025-09-09T14:10:31.8732551Z numpy                  ------------------------------ 2.69 MiB/18.62 MiB
2025-09-09T14:10:31.8732751Z cmake                  ------------------------------ 414.34 KiB/26.51 MiB
2025-09-09T14:10:31.8732955Z scipy                  ------------------------------ 2.52 MiB/36.82 MiB
2025-09-09T14:10:31.8733148Z pyarrow                ------------------------------ 2.74 MiB/40.77 MiB
2025-09-09T14:10:31.8733399Z bitsandbytes           ------------------------------ 2.63 MiB/58.45 MiB        
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2025-09-09T14:10:31.8735090Z ⠴ Preparing packages... (87/107)
2025-09-09T14:10:31.8735299Z tzdata                 ------------------------------ 238.05 KiB/339.69 KiB
2025-09-09T14:10:31.8735500Z pytz                   ------------------------------ 380.01 KiB/497.29 KiB
2025-09-09T14:10:31.8735693Z hf-xet                 ------------------------------ 2.99 MiB/3.04 MiB
2025-09-09T14:10:31.8735898Z tokenizers             ------------------------------ 2.99 MiB/3.19 MiB
2025-09-09T14:10:31.8736107Z fonttools              ------------------------------ 2.87 MiB/4.54 MiB
2025-09-09T14:10:31.8736293Z lxml                   ------------------------------ 2.96 MiB/5.05 MiB
2025-09-09T14:10:31.8736501Z zstandard              ------------------------------ 2.86 MiB/5.30 MiB
2025-09-09T14:10:31.8736705Z virtualenv             ------------------------------ 2.94 MiB/5.71 MiB
2025-09-09T14:10:31.8736893Z pillow                 ------------------------------ 2.93 MiB/6.32 MiB
2025-09-09T14:10:31.8737093Z lm-eval                ------------------------------ 384.87 KiB/7.18 MiB
2025-09-09T14:10:31.8737300Z matplotlib             ------------------------------ 3.05 MiB/7.93 MiB
2025-09-09T14:10:31.8737487Z ruff                   ------------------------------ 3.07 MiB/10.94 MiB
2025-09-09T14:10:31.8737697Z transformers           ------------------------------ 2.46 MiB/11.07 MiB
2025-09-09T14:10:31.8737892Z pandas                 ------------------------------ 2.91 MiB/11.79 MiB
2025-09-09T14:10:31.8738179Z scikit-learn           ------------------------------ 3.03 MiB/12.89 MiB
2025-09-09T14:10:31.8738387Z numpy                  ------------------------------ 3.02 MiB/18.62 MiB
2025-09-09T14:10:31.8738585Z cmake                  ------------------------------ 446.34 KiB/26.51 MiB
2025-09-09T14:10:31.8738778Z scipy                  ------------------------------ 2.80 MiB/36.82 MiB
2025-09-09T14:10:31.8738972Z pyarrow                ------------------------------ 3.06 MiB/40.77 MiB
2025-09-09T14:10:31.8739212Z bitsandbytes           ------------------------------ 2.93 MiB/58.45 MiB        
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2025-09-09T14:10:31.8741709Z ⠴ Preparing packages... (87/107)
2025-09-09T14:10:31.8741933Z tzdata                 ------------------------------ 254.05 KiB/339.69 KiB
2025-09-09T14:10:31.8742138Z pytz                   ------------------------------ 396.01 KiB/497.29 KiB
2025-09-09T14:10:31.8742352Z tokenizers             ------------------------------ 3.08 MiB/3.19 MiB
2025-09-09T14:10:31.8742585Z fonttools              ------------------------------ 2.90 MiB/4.54 MiB
2025-09-09T14:10:31.8742896Z lxml                   ------------------------------ 3.03 MiB/5.05 MiB
2025-09-09T14:10:31.8743105Z zstandard              ------------------------------ 2.96 MiB/5.30 MiB
2025-09-09T14:10:31.8743312Z virtualenv             ------------------------------ 3.03 MiB/5.71 MiB
2025-09-09T14:10:31.8743519Z pillow                 ------------------------------ 3.02 MiB/6.32 MiB
2025-09-09T14:10:31.8743726Z lm-eval                ------------------------------ 384.87 KiB/7.18 MiB
2025-09-09T14:10:31.8743936Z matplotlib             ------------------------------ 3.16 MiB/7.93 MiB
2025-09-09T14:10:31.8744137Z ruff                   ------------------------------ 3.18 MiB/10.94 MiB
2025-09-09T14:10:31.8744355Z transformers           ------------------------------ 2.51 MiB/11.07 MiB
2025-09-09T14:10:31.9411533Z pandas                 ------------------------------ 3.01 MiB/11.79 MiB
2025-09-09T14:10:31.9412070Z scikit-learn           ------------------------------ 3.13 MiB/12.89 MiB
2025-09-09T14:10:31.9412488Z numpy                  ------------------------------ 3.10 MiB/18.62 MiB
2025-09-09T14:10:31.9412901Z cmake                  ------------------------------ 478.34 KiB/26.51 MiB
2025-09-09T14:10:31.9413174Z scipy                  ------------------------------ 2.91 MiB/36.82 MiB
2025-09-09T14:10:31.9413442Z pyarrow                ------------------------------ 3.16 MiB/40.77 MiB
2025-09-09T14:10:31.9413761Z bitsandbytes           ------------------------------ 2.99 MiB/58.45 MiB        
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2025-09-09T14:10:31.9416110Z ⠴ Preparing packages... (87/107)
2025-09-09T14:10:31.9416388Z tzdata                 ------------------------------ 254.05 KiB/339.69 KiB
2025-09-09T14:10:31.9416637Z pytz                   ------------------------------ 412.01 KiB/497.29 KiB
2025-09-09T14:10:31.9416916Z fonttools              ------------------------------ 3.09 MiB/4.54 MiB
2025-09-09T14:10:31.9417156Z lxml                   ------------------------------ 3.19 MiB/5.05 MiB
2025-09-09T14:10:31.9417400Z zstandard              ------------------------------ 3.08 MiB/5.30 MiB
2025-09-09T14:10:31.9417649Z virtualenv             ------------------------------ 3.16 MiB/5.71 MiB
2025-09-09T14:10:31.9417890Z pillow                 ------------------------------ 3.15 MiB/6.32 MiB
2025-09-09T14:10:31.9418139Z lm-eval                ------------------------------ 384.87 KiB/7.18 MiB
2025-09-09T14:10:31.9418388Z matplotlib             ------------------------------ 3.28 MiB/7.93 MiB
2025-09-09T14:10:31.9418625Z ruff                   ------------------------------ 3.32 MiB/10.94 MiB
2025-09-09T14:10:31.9418840Z transformers           ------------------------------ 2.62 MiB/11.07 MiB
2025-09-09T14:10:31.9419202Z pandas                 ------------------------------ 3.16 MiB/11.79 MiB
2025-09-09T14:10:31.9419424Z scikit-learn           ------------------------------ 3.25 MiB/12.89 MiB
2025-09-09T14:10:31.9419614Z numpy                  ------------------------------ 3.24 MiB/18.62 MiB
2025-09-09T14:10:31.9419811Z cmake                  ------------------------------ 526.34 KiB/26.51 MiB
2025-09-09T14:10:31.9420004Z scipy                  ------------------------------ 3.05 MiB/36.82 MiB
2025-09-09T14:10:31.9420202Z pyarrow                ------------------------------ 3.31 MiB/40.77 MiB
2025-09-09T14:10:31.9420445Z bitsandbytes           ------------------------------ 3.13 MiB/58.45 MiB        
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2025-09-09T14:10:31.9435101Z ⠴ Preparing packages... (87/107)
2025-09-09T14:10:31.9435346Z tzdata                 ------------------------------ 270.05 KiB/339.69 KiB
2025-09-09T14:10:31.9435560Z pytz                   ------------------------------ 412.01 KiB/497.29 KiB
2025-09-09T14:10:31.9435911Z fonttools              ------------------------------ 3.20 MiB/4.54 MiB
2025-09-09T14:10:31.9436118Z lxml                   ------------------------------ 3.31 MiB/5.05 MiB
2025-09-09T14:10:31.9436327Z zstandard              ------------------------------ 3.21 MiB/5.30 MiB
2025-09-09T14:10:31.9436538Z virtualenv             ------------------------------ 3.26 MiB/5.71 MiB
2025-09-09T14:10:31.9436731Z pillow                 ------------------------------ 3.25 MiB/6.32 MiB
2025-09-09T14:10:31.9436943Z lm-eval                ------------------------------ 392.56 KiB/7.18 MiB
2025-09-09T14:10:31.9437164Z matplotlib             ------------------------------ 3.41 MiB/7.93 MiB
2025-09-09T14:10:31.9437358Z ruff                   ------------------------------ 3.41 MiB/10.94 MiB
2025-09-09T14:10:31.9437574Z transformers           ------------------------------ 2.72 MiB/11.07 MiB
2025-09-09T14:10:31.9437777Z pandas                 ------------------------------ 3.25 MiB/11.79 MiB
2025-09-09T14:10:31.9437985Z scikit-learn           ------------------------------ 3.34 MiB/12.89 MiB
2025-09-09T14:10:31.9438173Z numpy                  ------------------------------ 3.33 MiB/18.62 MiB
2025-09-09T14:10:31.9438380Z cmake                  ------------------------------ 558.34 KiB/26.51 MiB
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2025-09-09T14:10:31.9440826Z tzdata                 ------------------------------ 270.05 KiB/339.69 KiB
2025-09-09T14:10:31.9441041Z fonttools              ------------------------------ 3.34 MiB/4.54 MiB
2025-09-09T14:10:31.9441242Z lxml                   ------------------------------ 3.47 MiB/5.05 MiB
2025-09-09T14:10:31.9441449Z zstandard              ------------------------------ 3.36 MiB/5.30 MiB
2025-09-09T14:10:31.9441653Z virtualenv             ------------------------------ 3.41 MiB/5.71 MiB
2025-09-09T14:10:31.9441851Z pillow                 ------------------------------ 3.40 MiB/6.32 MiB
2025-09-09T14:10:31.9442052Z lm-eval                ------------------------------ 394.59 KiB/7.18 MiB
2025-09-09T14:10:31.9442257Z matplotlib             ------------------------------ 3.55 MiB/7.93 MiB
2025-09-09T14:10:31.9442571Z ruff                   ------------------------------ 3.55 MiB/10.94 MiB
2025-09-09T14:10:31.9442790Z transformers           ------------------------------ 2.84 MiB/11.07 MiB
2025-09-09T14:10:31.9443227Z pandas                 ------------------------------ 3.41 MiB/11.79 MiB
2025-09-09T14:10:31.9443468Z scikit-learn           ------------------------------ 3.39 MiB/12.89 MiB
2025-09-09T14:10:31.9443661Z numpy                  ------------------------------ 3.47 MiB/18.62 MiB
2025-09-09T14:10:31.9443860Z cmake                  ------------------------------ 606.34 KiB/26.51 MiB
2025-09-09T14:10:31.9444055Z scipy                  ------------------------------ 3.32 MiB/36.82 MiB
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2025-09-09T14:10:31.9446838Z virtualenv             ------------------------------ 3.48 MiB/5.71 MiB
2025-09-09T14:10:31.9447130Z pillow                 ------------------------------ 3.45 MiB/6.32 MiB
2025-09-09T14:10:31.9447331Z lm-eval                ------------------------------ 405.46 KiB/7.18 MiB
2025-09-09T14:10:31.9447538Z matplotlib             ------------------------------ 3.60 MiB/7.93 MiB
2025-09-09T14:10:31.9447725Z ruff                   ------------------------------ 3.62 MiB/10.94 MiB
2025-09-09T14:10:31.9447933Z transformers           ------------------------------ 2.91 MiB/11.07 MiB
2025-09-09T14:10:31.9448124Z pandas                 ------------------------------ 3.48 MiB/11.79 MiB
2025-09-09T14:10:31.9448343Z scikit-learn           ------------------------------ 3.41 MiB/12.89 MiB
2025-09-09T14:10:31.9448535Z numpy                  ------------------------------ 3.53 MiB/18.62 MiB
2025-09-09T14:10:31.9448733Z cmake                  ------------------------------ 606.34 KiB/26.51 MiB
2025-09-09T14:10:32.1094391Z scipy                  ------------------------------ 3.39 MiB/36.82 MiB
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2025-09-09T14:10:32.1099568Z ⠴ Preparing packages... (87/107)
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2025-09-09T14:10:32.1100492Z lxml                   ------------------------------ 3.63 MiB/5.05 MiB
2025-09-09T14:10:32.1100904Z zstandard              ------------------------------ 3.57 MiB/5.30 MiB
2025-09-09T14:10:32.1101336Z virtualenv             ------------------------------ 3.63 MiB/5.71 MiB
2025-09-09T14:10:32.1101753Z pillow                 ------------------------------ 3.56 MiB/6.32 MiB
2025-09-09T14:10:32.1102160Z lm-eval                ------------------------------ 405.46 KiB/7.18 MiB
2025-09-09T14:10:32.1102606Z matplotlib             ------------------------------ 3.72 MiB/7.93 MiB
2025-09-09T14:10:32.1103018Z ruff                   ------------------------------ 3.75 MiB/10.94 MiB
2025-09-09T14:10:32.1103440Z transformers           ------------------------------ 3.10 MiB/11.07 MiB
2025-09-09T14:10:32.1103865Z pandas                 ------------------------------ 3.63 MiB/11.79 MiB
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2025-09-09T14:10:32.1105115Z cmake                  ------------------------------ 652.78 KiB/26.51 MiB
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2025-09-09T14:10:32.1110012Z fonttools              ------------------------------ 3.69 MiB/4.54 MiB
2025-09-09T14:10:32.1110445Z lxml                   ------------------------------ 3.98 MiB/5.05 MiB
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2025-09-09T14:10:32.1111266Z virtualenv             ------------------------------ 4.02 MiB/5.71 MiB
2025-09-09T14:10:32.1111759Z pillow                 ------------------------------ 3.94 MiB/6.32 MiB
2025-09-09T14:10:32.1112188Z lm-eval                ------------------------------ 436.60 KiB/7.18 MiB
2025-09-09T14:10:32.1112613Z matplotlib             ------------------------------ 4.04 MiB/7.93 MiB
2025-09-09T14:10:32.1113024Z ruff                   ------------------------------ 4.12 MiB/10.94 MiB
2025-09-09T14:10:32.1113449Z transformers           ------------------------------ 3.38 MiB/11.07 MiB
2025-09-09T14:10:32.1114009Z pandas                 ------------------------------ 3.97 MiB/11.79 MiB
2025-09-09T14:10:32.1114469Z scikit-learn           ------------------------------ 4.09 MiB/12.89 MiB
2025-09-09T14:10:32.1114888Z numpy                  ------------------------------ 3.94 MiB/18.62 MiB
2025-09-09T14:10:32.1115303Z cmake                  ------------------------------ 686.34 KiB/26.51 MiB
2025-09-09T14:10:32.1115711Z scipy                  ------------------------------ 3.87 MiB/36.82 MiB
2025-09-09T14:10:32.1116112Z pyarrow                ------------------------------ 4.09 MiB/40.77 MiB
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2025-09-09T14:10:32.1119755Z fonttools              ------------------------------ 4.27 MiB/4.54 MiB
2025-09-09T14:10:32.1120173Z lxml                   ------------------------------ 4.32 MiB/5.05 MiB
2025-09-09T14:10:32.1120604Z zstandard              ------------------------------ 4.30 MiB/5.30 MiB
2025-09-09T14:10:32.1121101Z virtualenv             ------------------------------ 4.36 MiB/5.71 MiB
2025-09-09T14:10:32.1121637Z pillow                 ------------------------------ 4.25 MiB/6.32 MiB
2025-09-09T14:10:32.1122061Z lm-eval                ------------------------------ 449.15 KiB/7.18 MiB
2025-09-09T14:10:32.1122587Z matplotlib             ------------------------------ 4.39 MiB/7.93 MiB
2025-09-09T14:10:32.1122998Z ruff                   ------------------------------ 4.47 MiB/10.94 MiB
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2025-09-09T14:10:32.1125108Z cmake                  ------------------------------ 734.34 KiB/26.51 MiB
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2025-09-09T14:10:32.1130592Z virtualenv             ------------------------------ 4.67 MiB/5.71 MiB
2025-09-09T14:10:32.1131001Z pillow                 ------------------------------ 4.57 MiB/6.32 MiB
2025-09-09T14:10:32.1131409Z lm-eval                ------------------------------ 472.56 KiB/7.18 MiB
2025-09-09T14:10:32.1131820Z matplotlib             ------------------------------ 4.69 MiB/7.93 MiB
2025-09-09T14:10:32.1132341Z ruff                   ------------------------------ 4.82 MiB/10.94 MiB
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2025-09-09T14:10:32.1133181Z pandas                 ------------------------------ 4.62 MiB/11.79 MiB
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2025-09-09T14:10:32.1138800Z lxml                   ------------------------------ 4.66 MiB/5.05 MiB
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2025-09-09T14:10:32.1139653Z virtualenv             ------------------------------ 4.72 MiB/5.71 MiB
2025-09-09T14:10:32.1140072Z pillow                 ------------------------------ 4.63 MiB/6.32 MiB
2025-09-09T14:10:32.1140478Z lm-eval                ------------------------------ 472.56 KiB/7.18 MiB
2025-09-09T14:10:32.1140985Z matplotlib             ------------------------------ 4.75 MiB/7.93 MiB
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2025-09-09T14:10:32.2425037Z virtualenv             ------------------------------ 5.09 MiB/5.71 MiB
2025-09-09T14:10:32.2425469Z pillow                 ------------------------------ 4.98 MiB/6.32 MiB
2025-09-09T14:10:32.2425881Z lm-eval                ------------------------------ 490.16 KiB/7.18 MiB
2025-09-09T14:10:32.2426299Z matplotlib             ------------------------------ 5.14 MiB/7.93 MiB
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2025-09-09T14:10:32.2433543Z zstandard              ------------------------------ 5.25 MiB/5.30 MiB
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2025-09-09T14:10:32.2434516Z pillow                 ------------------------------ 5.15 MiB/6.32 MiB
2025-09-09T14:10:32.2435009Z lm-eval                ------------------------------ 506.16 KiB/7.18 MiB
2025-09-09T14:10:32.2435809Z matplotlib             ------------------------------ 5.34 MiB/7.93 MiB
2025-09-09T14:10:32.2436378Z ruff                   ------------------------------ 5.40 MiB/10.94 MiB
2025-09-09T14:10:32.2436808Z transformers           ------------------------------ 4.59 MiB/11.07 MiB
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2025-09-09T14:10:32.2444152Z lm-eval                ------------------------------ 520.56 KiB/7.18 MiB
2025-09-09T14:10:32.2444803Z matplotlib             ------------------------------ 5.43 MiB/7.93 MiB
2025-09-09T14:10:32.2445227Z ruff                   ------------------------------ 5.48 MiB/10.94 MiB
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2025-09-09T14:10:32.2453062Z lm-eval                ------------------------------ 536.56 KiB/7.18 MiB
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2025-09-09T14:10:32.4694228Z lm-eval                ------------------------------ 600.56 KiB/7.18 MiB
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2025-09-09T14:10:32.4701397Z lm-eval                ------------------------------ 600.56 KiB/7.18 MiB
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2025-09-09T14:10:32.4708263Z lm-eval                ------------------------------ 632.46 KiB/7.18 MiB
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2025-09-09T14:10:32.4715644Z lm-eval                ------------------------------ 664.56 KiB/7.18 MiB
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2025-09-09T14:10:32.4723551Z lm-eval                ------------------------------ 686.84 KiB/7.18 MiB
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2025-09-09T14:10:32.7595199Z lm-eval                ------------------------------ 702.84 KiB/7.18 MiB
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2025-09-09T14:10:32.7603486Z lm-eval                ------------------------------ 728.56 KiB/7.18 MiB
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2025-09-09T14:10:32.7610602Z lm-eval                ------------------------------ 792.56 KiB/7.18 MiB
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2025-09-09T14:10:35.6201538Z Prepared 107 packages in 4.10s
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2025-09-09T14:10:35.6202535Z ░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels...                                 
2025-09-09T14:10:35.6203258Z ░░░░░░░░░░░░░░░░░░░░ [0/107] Installing wheels...                               
2025-09-09T14:10:35.6203710Z ░░░░░░░░░░░░░░░░░░░░ [0/107] propcache==0.3.2                                   
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2025-09-09T14:10:35.6210268Z █░░░░░░░░░░░░░░░░░░░ [6/107] yarl==1.20.1                                       
2025-09-09T14:10:35.6210848Z █░░░░░░░░░░░░░░░░░░░ [7/107] yarl==1.20.1                                       
2025-09-09T14:10:35.6211262Z █░░░░░░░░░░░░░░░░░░░ [7/107] python-dateutil==2.9.0.post0                       
2025-09-09T14:10:35.6211883Z █░░░░░░░░░░░░░░░░░░░ [8/107] python-dateutil==2.9.0.post0                       
2025-09-09T14:10:35.6212515Z █░░░░░░░░░░░░░░░░░░░ [8/107] absl-py==2.3.1                                     
2025-09-09T14:10:35.6213098Z █░░░░░░░░░░░░░░░░░░░ [9/107] absl-py==2.3.1                                     
2025-09-09T14:10:35.6213511Z ████████░░░░░░░░░░░░ [45/107] numpy==2.0.2                                      
2025-09-09T14:10:35.6213926Z ████████████████░░░░ [88/107] platformdirs==4.4.0                               
2025-09-09T14:10:35.6214338Z ███████████████████░ [104/107] transformers==4.56.1                             
2025-09-09T14:10:35.6214744Z ███████████████████░ [105/107] cmake==3.31.6                                    
2025-09-09T14:10:35.6215145Z ███████████████████░ [106/107] lm-eval==0.4.9.1                                 
2025-09-09T14:10:35.6215537Z ████████████████████ [107/107] lm-eval==0.4.9.1                                 
2025-09-09T14:10:35.6215940Z Installed 107 packages in 499ms
2025-09-09T14:10:35.6216246Z  + absl-py==2.3.1
2025-09-09T14:10:35.6216532Z  + accelerate==1.10.1
2025-09-09T14:10:35.6216822Z  + aiohappyeyeballs==2.6.1
2025-09-09T14:10:35.6217102Z  + aiohttp==3.12.15
2025-09-09T14:10:35.6217361Z  + aiosignal==1.4.0
2025-09-09T14:10:35.6217624Z  + async-timeout==5.0.1
2025-09-09T14:10:35.6217892Z  + attrs==25.3.0
2025-09-09T14:10:35.6218152Z  + bitsandbytes==0.47.0
2025-09-09T14:10:35.6218424Z  + blobfile==3.1.0
2025-09-09T14:10:35.6218687Z  + certifi==2025.8.3
2025-09-09T14:10:35.6218941Z  + cfgv==3.4.0
2025-09-09T14:10:35.6219194Z  + chardet==5.2.0
2025-09-09T14:10:35.6219471Z  + charset-normalizer==3.4.3
2025-09-09T14:10:35.6219860Z  + click==8.1.8
2025-09-09T14:10:35.6220127Z  + cmake==3.31.6
2025-09-09T14:10:35.6220383Z  + colorama==0.4.6
2025-09-09T14:10:35.6220636Z  + contourpy==1.3.0
2025-09-09T14:10:35.6220894Z  + cycler==0.12.1
2025-09-09T14:10:35.6221155Z  + dataproperty==1.1.0
2025-09-09T14:10:35.6221428Z  + datasets==3.6.0
2025-09-09T14:10:35.6221674Z  + dill==0.3.8
2025-09-09T14:10:35.6221920Z  + diskcache==5.6.3
2025-09-09T14:10:35.6222174Z  + distlib==0.4.0
2025-09-09T14:10:35.6222419Z  + evaluate==0.4.5
2025-09-09T14:10:35.6222698Z  + exceptiongroup==1.3.0
2025-09-09T14:10:35.6222970Z  + expecttest==0.3.0
2025-09-09T14:10:35.6223224Z  + fire==0.7.1
2025-09-09T14:10:35.6223475Z  + fonttools==4.59.2
2025-09-09T14:10:35.6223732Z  + frozenlist==1.7.0
2025-09-09T14:10:35.6224002Z  - fsspec==2025.7.0
2025-09-09T14:10:35.6224260Z  + fsspec==2025.3.0
2025-09-09T14:10:35.6224513Z  + hf-xet==1.1.9
2025-09-09T14:10:35.6224778Z  + huggingface-hub==0.34.4
2025-09-09T14:10:35.6225064Z  + hypothesis==6.138.15
2025-09-09T14:10:35.6225328Z  + identify==2.6.14
2025-09-09T14:10:35.6225574Z  + idna==3.10
2025-09-09T14:10:35.6225848Z  + importlib-resources==6.5.2
2025-09-09T14:10:35.6226127Z  + iniconfig==2.1.0
2025-09-09T14:10:35.6226388Z  + joblib==1.5.2
2025-09-09T14:10:35.6226632Z  + jsonlines==4.0.0
2025-09-09T14:10:35.6226989Z  + kiwisolver==1.4.7
2025-09-09T14:10:35.6227259Z  + lm-eval==0.4.9.1
2025-09-09T14:10:35.6227508Z  + lxml==6.0.1
2025-09-09T14:10:35.6227753Z  + matplotlib==3.9.4
2025-09-09T14:10:35.6228020Z  + mbstrdecoder==1.1.4
2025-09-09T14:10:35.6228294Z  + more-itertools==10.8.0
2025-09-09T14:10:35.6228568Z  + multidict==6.6.4
2025-09-09T14:10:35.6228838Z  + multiprocess==0.70.16
2025-09-09T14:10:35.6229096Z  + ninja==1.13.0
2025-09-09T14:10:35.6229338Z  + nltk==3.9.1
2025-09-09T14:10:35.6229579Z  + nodeenv==1.9.1
2025-09-09T14:10:35.6229838Z  + numexpr==2.10.2
2025-09-09T14:10:35.6230080Z  + numpy==2.0.2
2025-09-09T14:10:35.6230332Z  + packaging==25.0
2025-09-09T14:10:35.6230587Z  + pandas==2.3.2
2025-09-09T14:10:35.6230861Z  + parameterized==0.9.0
2025-09-09T14:10:35.6231140Z  + pathvalidate==3.3.1
2025-09-09T14:10:35.6231391Z  + peft==0.17.1
2025-09-09T14:10:35.6231640Z  + pillow==11.3.0
2025-09-09T14:10:35.6231899Z  + platformdirs==4.4.0
2025-09-09T14:10:35.6232156Z  + pluggy==1.6.0
2025-09-09T14:10:35.6232409Z  + portalocker==3.2.0
2025-09-09T14:10:35.6232678Z  + pre-commit==4.3.0
2025-09-09T14:10:35.6232933Z  + propcache==0.3.2
2025-09-09T14:10:35.6233186Z  + psutil==7.0.0
2025-09-09T14:17:47.0454473Z  + pyarrow==21.0.0
2025-09-09T14:17:47.0455766Z  + pybind11==3.0.1
2025-09-09T14:17:47.0456628Z  + pycocotools==2.0.10
2025-09-09T14:17:47.0457267Z  + pycryptodomex==3.23.0
2025-09-09T14:17:47.0457582Z  + pygments==2.19.2
2025-09-09T14:17:47.0457863Z  + pyparsing==3.2.3
2025-09-09T14:17:47.0458136Z  + pytablewriter==1.2.1
2025-09-09T14:17:47.0458405Z  + pytest==8.4.2
2025-09-09T14:17:47.0458707Z  + python-dateutil==2.9.0.post0
2025-09-09T14:17:47.0459015Z  + pytz==2025.2
2025-09-09T14:17:47.0459259Z  + pyyaml==6.0.2
2025-09-09T14:17:47.0459515Z  + regex==2025.9.1
2025-09-09T14:17:47.0459831Z  + requests==2.32.5
2025-09-09T14:17:47.0460293Z  + rouge-score==0.1.2
2025-09-09T14:17:47.0460564Z  + ruff==0.11.6
2025-09-09T14:17:47.0460811Z  + sacrebleu==2.5.1
2025-09-09T14:17:47.0461100Z  + safetensors==0.6.2
2025-09-09T14:17:47.0461366Z  + scikit-learn==1.6.1
2025-09-09T14:17:47.0461629Z  + scipy==1.13.1
2025-09-09T14:17:47.0461885Z  + sentencepiece==0.2.1
2025-09-09T14:17:47.0462159Z  + six==1.17.0
2025-09-09T14:17:47.0462433Z  + sortedcontainers==2.4.0
2025-09-09T14:17:47.0462706Z  + sqlitedict==2.1.0
2025-09-09T14:17:47.0462964Z  + tabledata==1.3.4
2025-09-09T14:17:47.0463211Z  + tabulate==0.9.0
2025-09-09T14:17:47.0463464Z  + tcolorpy==0.1.7
2025-09-09T14:17:47.0463710Z  + termcolor==3.1.0
2025-09-09T14:17:47.0463976Z  + threadpoolctl==3.6.0
2025-09-09T14:17:47.0464234Z  + tiktoken==0.11.0
2025-09-09T14:17:47.0464545Z  + tokenizers==0.22.0
2025-09-09T14:17:47.0465175Z  + tomli==2.2.1
2025-09-09T14:17:47.0465428Z  + tqdm==4.67.1
2025-09-09T14:17:47.0465715Z  + tqdm-multiprocess==0.0.11
2025-09-09T14:17:47.0466010Z  + transformers==4.56.1
2025-09-09T14:17:47.0466281Z  + typepy==1.3.4
2025-09-09T14:17:47.0466540Z  + tzdata==2025.2
2025-09-09T14:17:47.0466910Z  + unittest-xml-reporting==3.2.0
2025-09-09T14:17:47.0467304Z  + urllib3==2.5.0
2025-09-09T14:17:47.0467567Z  + virtualenv==20.34.0
2025-09-09T14:17:47.0467840Z  + word2number==1.1
2025-09-09T14:17:47.0468088Z  + xxhash==3.5.0
2025-09-09T14:17:47.0468632Z  + yarl==1.20.1
2025-09-09T14:17:47.0468886Z  + zstandard==0.24.0
2025-09-09T14:17:47.0469122Z + pip install .
2025-09-09T14:17:47.0469293Z Processing /pytorch/ao
2025-09-09T14:17:47.0469565Z   Preparing metadata (setup.py) ... [?25l- done
2025-09-09T14:17:47.0469888Z [?25hBuilding wheels for collected packages: torchao
2025-09-09T14:17:47.0471687Z   DEPRECATION: Building 'torchao' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torchao'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-09-09T14:17:47.0473306Z   Building wheel for torchao (setup.py) ... [?25l- \ | / - \ | / - \ | / - \ | / - \ | / - \ | done
2025-09-09T14:17:47.0474475Z [?25h  Created wheel for torchao: filename=torchao-0.14.0+git7c05f81-cp39-abi3-linux_x86_64.whl size=7969235 sha256=b3cb8c86b09fa556653c82b03b362a2d072ea9bb0f04e7302a43b5a8087efc27
2025-09-09T14:17:47.0475608Z   Stored in directory: /tmp/pip-ephem-wheel-cache-6jf_3aim/wheels/4d/54/dc/0c70e60a8677bf126f1486798ebe76c8770ada66c7376b401d
2025-09-09T14:17:47.0476095Z Successfully built torchao
2025-09-09T14:17:47.0476301Z Installing collected packages: torchao
2025-09-09T14:17:47.0476565Z Successfully installed torchao-0.14.0+git7c05f81
2025-09-09T14:17:47.0478081Z WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.
2025-09-09T14:17:47.0479250Z + pytest test/integration --verbose -s
2025-09-09T14:17:47.0479588Z ============================= test session starts ==============================
2025-09-09T14:17:47.0480115Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3
2025-09-09T14:17:47.0480485Z cachedir: .pytest_cache
2025-09-09T14:17:47.0480927Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,)
2025-09-09T14:17:47.0481390Z rootdir: /pytorch/ao
2025-09-09T14:17:47.0481579Z plugins: hypothesis-6.138.15
2025-09-09T14:17:47.0481812Z collecting ... 
2025-09-09T14:17:47.0482118Z collecting 9 items                                                             
2025-09-09T14:17:47.0482506Z collecting 358 items                                                           
2025-09-09T14:17:47.0483038Z collected 363 items / 1 skipped                                                
2025-09-09T14:17:47.0483268Z 
2025-09-09T14:17:47.0483630Z test/integration/test_integration.py::SmoothquantUnitTest::test_debug_x_absmax PASSED
2025-09-09T14:17:47.0486392Z test/integration/test_integration.py::SmoothquantUnitTest::test_figure_4 PASSED
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2025-09-09T14:17:47.0488115Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_cpu [W909 14:17:33.908539882 qlinear_dynamic.cpp:251] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2025-09-09T14:17:47.0489143Z PASSED
2025-09-09T14:17:47.0489556Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_cuda PASSED
2025-09-09T14:17:47.0490201Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_edge_cases PASSED
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2025-09-09T14:17:47.0492175Z test/integration/test_integration.py::SmoothquantUnitTest::test_weight_t_and_non_t_numerics_match W0909 14:17:34.652301 868 site-packages/torch/_inductor/utils.py:1554] [1/0] Not enough SMs to use max_autotune_gemm mode
2025-09-09T14:17:47.0493034Z PASSED
2025-09-09T14:17:47.0493424Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test__int_mm PASSED
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2025-09-09T14:18:18.6787201Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_0_cpu SKIPPED
2025-09-09T14:18:18.6788004Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_1_cpu SKIPPED
2025-09-09T14:18:18.6788806Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_2_cpu SKIPPED
2025-09-09T14:18:18.6789571Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_3_cuda Autotune Choices Stats:
2025-09-09T14:18:18.6790285Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.011264000087976456}
2025-09-09T14:18:18.6790650Z AUTOTUNE addmm(32x32, 32x64, 64x32)
2025-09-09T14:18:18.6790944Z strides: [0, 1], [64, 1], [1, 64]
2025-09-09T14:18:18.6791186Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:18:18.6791655Z   bias_addmm 0.0113 ms 100.0% 
2025-09-09T14:18:18.6791935Z   addmm 0.0153 ms 73.6% 
2025-09-09T14:18:18.6792295Z SingleProcess AUTOTUNE benchmarking takes 0.0855 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:18:18.6792834Z PASSED
2025-09-09T14:18:18.6793260Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_4_cuda Autotune Choices Stats:
2025-09-09T14:18:18.6793956Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:18:18.6794409Z AUTOTUNE addmm(32x32, 32x64, 64x32)
2025-09-09T14:18:18.6794612Z strides: [0, 1], [64, 1], [1, 64]
2025-09-09T14:18:18.6794844Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:18:18.6795173Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:18:18.6795365Z   addmm 0.0083 ms 74.1% 
2025-09-09T14:18:18.6795711Z SingleProcess AUTOTUNE benchmarking takes 0.0842 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:18:18.6796245Z PASSED
2025-09-09T14:18:18.6796732Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_5_cuda Autotune Choices Stats:
2025-09-09T14:18:18.6797360Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:18:18.6797811Z AUTOTUNE addmm(32x32, 32x64, 64x32)
2025-09-09T14:18:18.6798006Z strides: [0, 1], [64, 1], [1, 64]
2025-09-09T14:18:18.6798245Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:18:18.6798596Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:18:18.6798773Z   addmm 0.0092 ms 66.7% 
2025-09-09T14:18:18.6799131Z SingleProcess AUTOTUNE benchmarking takes 0.0843 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:18:18.6799635Z PASSED
2025-09-09T14:18:18.6800204Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_0_cpu SKIPPED
2025-09-09T14:18:18.6801110Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_1_cpu SKIPPED
2025-09-09T14:18:18.6801956Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_2_cpu SKIPPED
2025-09-09T14:18:18.6802876Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_3_cuda SKIPPED
2025-09-09T14:18:18.6803691Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_4_cuda SKIPPED
2025-09-09T14:18:18.6804471Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_5_cuda SKIPPED
2025-09-09T14:18:18.6805204Z test/integration/test_integration.py::TestSubclass::test_autoquantizable_flatten_unflatten PASSED
2025-09-09T14:18:18.6806029Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_0_cpu SKIPPED
2025-09-09T14:18:18.6806909Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_1_cpu SKIPPED
2025-09-09T14:18:18.6817984Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_2_cpu SKIPPED
2025-09-09T14:18:18.6818927Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_3_cuda SKIPPED
2025-09-09T14:18:18.6819843Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_4_cuda SKIPPED
2025-09-09T14:18:18.6820715Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_5_cuda PASSED
2025-09-09T14:18:18.6821514Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_0_cpu SKIPPED
2025-09-09T14:18:18.6822438Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_1_cpu SKIPPED
2025-09-09T14:18:18.6823534Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_2_cpu SKIPPED
2025-09-09T14:18:18.6824340Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_3_cuda SKIPPED
2025-09-09T14:18:18.6825153Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_4_cuda SKIPPED
2025-09-09T14:18:18.6826081Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_5_cuda PASSED
2025-09-09T14:18:18.6826837Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_0_cpu PASSED
2025-09-09T14:18:18.6827564Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_1_cpu PASSED
2025-09-09T14:18:18.6828274Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_2_cpu PASSED
2025-09-09T14:18:18.6829003Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_3_cuda PASSED
2025-09-09T14:18:18.6829878Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_4_cuda PASSED
2025-09-09T14:18:18.6830594Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_5_cuda PASSED
2025-09-09T14:18:18.6831335Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_0_cpu PASSED
2025-09-09T14:18:18.6832077Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_1_cpu PASSED
2025-09-09T14:18:18.6832842Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_2_cpu PASSED
2025-09-09T14:18:18.6833710Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_3_cuda PASSED
2025-09-09T14:18:18.6834486Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_4_cuda PASSED
2025-09-09T14:18:18.6835231Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_5_cuda PASSED
2025-09-09T14:18:18.6835896Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_0_cpu SKIPPED
2025-09-09T14:18:18.6836609Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_1_cpu SKIPPED
2025-09-09T14:18:18.6837204Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_2_cpu SKIPPED
2025-09-09T14:18:18.6837788Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_3_cuda SKIPPED
2025-09-09T14:19:17.1904123Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_4_cuda SKIPPED
2025-09-09T14:19:17.1905040Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_5_cuda SKIPPED
2025-09-09T14:19:17.1905907Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_0_cpu SKIPPED
2025-09-09T14:19:17.1906826Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_1_cpu SKIPPED
2025-09-09T14:19:17.1907780Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_2_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1908742Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1909448Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1909588Z 
2025-09-09T14:19:17.1909704Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1910270Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1911029Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1911164Z 
2025-09-09T14:19:17.1911276Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1911748Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1912429Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1912564Z 
2025-09-09T14:19:17.1912695Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1913240Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1913644Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1913773Z 
2025-09-09T14:19:17.1913880Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1914333Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1914732Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1914860Z 
2025-09-09T14:19:17.1914977Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1915411Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1915817Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1915935Z 
2025-09-09T14:19:17.1916041Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1916482Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1917127Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1917250Z 
2025-09-09T14:19:17.1917380Z PASSED
2025-09-09T14:19:17.1917982Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_3_cuda SKIPPED
2025-09-09T14:19:17.1918742Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_4_cuda SKIPPED
2025-09-09T14:19:17.1919853Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_5_cuda Autotune Choices Stats:
2025-09-09T14:19:17.1920636Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:19:17.1921009Z AUTOTUNE addmm(16x16, 16x16, 16x16)
2025-09-09T14:19:17.1921235Z strides: [0, 1], [16, 1], [1, 16]
2025-09-09T14:19:17.1921479Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:19:17.1921747Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:19:17.1921927Z   addmm 0.0082 ms 75.0% 
2025-09-09T14:19:17.1922286Z SingleProcess AUTOTUNE benchmarking takes 0.0844 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:19:17.1922720Z PASSED
2025-09-09T14:19:17.1923308Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_0_cpu SKIPPED
2025-09-09T14:19:17.1924125Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_1_cpu SKIPPED
2025-09-09T14:19:17.1924835Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_2_cpu SKIPPED
2025-09-09T14:19:17.1925530Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_3_cuda SKIPPED
2025-09-09T14:19:17.1926220Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_4_cuda SKIPPED
2025-09-09T14:19:17.1926999Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_5_cuda PASSED
2025-09-09T14:19:17.1927697Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_0_cpu SKIPPED
2025-09-09T14:19:17.1928404Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_1_cpu SKIPPED
2025-09-09T14:19:17.1929119Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_2_cpu PASSED
2025-09-09T14:19:17.1929957Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_3_cuda SKIPPED
2025-09-09T14:19:17.1930772Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_4_cuda SKIPPED
2025-09-09T14:19:17.1931487Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_5_cuda PASSED
2025-09-09T14:19:17.1932231Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_0_cpu SKIPPED
2025-09-09T14:19:17.1933002Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_1_cpu SKIPPED
2025-09-09T14:19:17.1933868Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_2_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1934620Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1935042Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1935174Z 
2025-09-09T14:19:17.1935287Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1935738Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1936146Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1936269Z 
2025-09-09T14:19:17.1936374Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1936822Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1937321Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1937448Z 
2025-09-09T14:19:17.1937553Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1937991Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1938394Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1938619Z 
2025-09-09T14:19:17.1938741Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1939175Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1939667Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1939793Z 
2025-09-09T14:19:17.1939897Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:17.1940336Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:17.1940732Z     return fn(*args, **kwargs)
2025-09-09T14:19:17.1940851Z 
2025-09-09T14:19:17.1940949Z PASSED
2025-09-09T14:19:17.1941440Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_3_cuda SKIPPED
2025-09-09T14:19:17.1942205Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_4_cuda SKIPPED
2025-09-09T14:19:17.1942921Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_5_cuda Autotune Choices Stats:
2025-09-09T14:19:17.1943536Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:19:17.1943984Z AUTOTUNE addmm(256x16, 256x16, 16x16)
2025-09-09T14:19:17.1944196Z strides: [0, 1], [16, 1], [1, 16]
2025-09-09T14:19:17.1944432Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:19:17.1944692Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:19:17.1944869Z   addmm 0.0082 ms 75.0% 
2025-09-09T14:19:17.1945222Z SingleProcess AUTOTUNE benchmarking takes 0.0844 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:19:17.1945600Z Autotune Choices Stats:
2025-09-09T14:19:17.1945916Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:19:17.1946364Z AUTOTUNE addmm(256x8, 256x8, 8x8)
2025-09-09T14:19:17.1946660Z strides: [0, 1], [8, 1], [1, 8]
2025-09-09T14:19:17.1946893Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:19:17.1947138Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:19:17.1947322Z   addmm 0.0082 ms 75.0% 
2025-09-09T14:19:17.1947688Z SingleProcess AUTOTUNE benchmarking takes 0.0842 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:19:17.1948113Z PASSED
2025-09-09T14:19:17.1948591Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_0_cpu SKIPPED
2025-09-09T14:19:17.1949323Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_1_cpu SKIPPED
2025-09-09T14:19:17.1950054Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_2_cpu SKIPPED
2025-09-09T14:19:17.1950893Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_3_cuda SKIPPED
2025-09-09T14:19:17.1951642Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_4_cuda SKIPPED
2025-09-09T14:19:17.1952389Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_5_cuda SKIPPED
2025-09-09T14:19:17.1953197Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_0_cpu SKIPPED
2025-09-09T14:19:17.1953861Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_1_cpu SKIPPED
2025-09-09T14:19:17.1954513Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_2_cpu SKIPPED
2025-09-09T14:19:17.1955154Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_3_cuda PASSED
2025-09-09T14:19:17.1955794Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_4_cuda PASSED
2025-09-09T14:19:56.3371793Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_5_cuda PASSED
2025-09-09T14:19:56.3372943Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_00_cpu SKIPPED
2025-09-09T14:19:56.3373913Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_01_cpu SKIPPED
2025-09-09T14:19:56.3374690Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_02_cpu SKIPPED
2025-09-09T14:19:56.3375389Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_03_cpu SKIPPED
2025-09-09T14:19:56.3376082Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_04_cpu SKIPPED
2025-09-09T14:19:56.3376779Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_05_cpu SKIPPED
2025-09-09T14:19:56.3377467Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_06_cuda SKIPPED
2025-09-09T14:19:56.3378161Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_07_cuda SKIPPED
2025-09-09T14:19:56.3378832Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_08_cuda SKIPPED
2025-09-09T14:19:56.3379510Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_09_cuda SKIPPED
2025-09-09T14:19:56.3380198Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_10_cuda SKIPPED
2025-09-09T14:19:56.3380895Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_11_cuda SKIPPED
2025-09-09T14:19:56.3381583Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_0_cpu SKIPPED
2025-09-09T14:19:56.3382285Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_1_cpu SKIPPED
2025-09-09T14:19:56.3383163Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_2_cpu SKIPPED
2025-09-09T14:19:56.3383850Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_3_cuda PASSED
2025-09-09T14:19:56.3384527Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_4_cuda PASSED
2025-09-09T14:19:56.3385198Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_5_cuda PASSED
2025-09-09T14:19:56.3385922Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_0_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3386666Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3387088Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3387221Z 
2025-09-09T14:19:56.3387357Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3387802Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3388210Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3388331Z 
2025-09-09T14:19:56.3388441Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3388877Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3389269Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3389395Z 
2025-09-09T14:19:56.3389507Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3389940Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3390331Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3390451Z 
2025-09-09T14:19:56.3390552Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3391090Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3391503Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3391625Z 
2025-09-09T14:19:56.3391732Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3392153Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3392547Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3392662Z 
2025-09-09T14:19:56.3392762Z PASSED
2025-09-09T14:19:56.3393247Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_1_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3393952Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3394352Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3394468Z 
2025-09-09T14:19:56.3394583Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3395011Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3395403Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3395522Z 
2025-09-09T14:19:56.3395628Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3396060Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3396450Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3396564Z 
2025-09-09T14:19:56.3396666Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3397094Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3397486Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3397607Z 
2025-09-09T14:19:56.3397709Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3398138Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3398701Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3398824Z 
2025-09-09T14:19:56.3398949Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3399381Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3399782Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3399902Z 
2025-09-09T14:19:56.3399993Z PASSED
2025-09-09T14:19:56.3400474Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_2_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3401207Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3401622Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3401748Z 
2025-09-09T14:19:56.3401861Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3402422Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3402836Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3402969Z 
2025-09-09T14:19:56.3403101Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3403532Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3403932Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3404063Z 
2025-09-09T14:19:56.3404171Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:19:56.3404610Z    File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner
2025-09-09T14:19:56.3405025Z     return fn(*args, **kwargs)
2025-09-09T14:19:56.3405150Z 
2025-09-09T14:19:56.3405237Z PASSED
2025-09-09T14:19:56.3405698Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_3_cuda PASSED
2025-09-09T14:19:56.3406504Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_4_cuda PASSED
2025-09-09T14:19:56.3407226Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_5_cuda PASSED
2025-09-09T14:19:56.3407888Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_0_cpu Autotune Choices Stats:
2025-09-09T14:19:56.3408522Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_0", "best_time": 0.0023099998998077353}
2025-09-09T14:19:56.3408954Z AUTOTUNE packed_linear(32x64, 1459233x1, 32x64)
2025-09-09T14:19:56.3409183Z strides: [64, 1], [1, 0], [64, 1]
2025-09-09T14:19:56.3409424Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:19:56.3409707Z   cpp_CppMicroGemmFP32Vec_0 0.0023 ms 100.0% 
2025-09-09T14:19:56.3409934Z   _mkl_linear 0.0146 ms 15.8% 
2025-09-09T14:19:56.3410311Z SingleProcess AUTOTUNE benchmarking takes 0.2512 seconds and 1.7935 seconds precompiling for 2 choices
2025-09-09T14:19:56.3410699Z Autotune Choices Stats:
2025-09-09T14:19:56.3411070Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_1", "best_time": 0.0017099998785852222}
2025-09-09T14:19:56.3411484Z AUTOTUNE packed_linear(32x32, 1459233x1, 32x32)
2025-09-09T14:19:56.3411734Z strides: [32, 1], [1, 0], [32, 1]
2025-09-09T14:19:56.3411964Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:19:56.3412240Z   cpp_CppMicroGemmFP32Vec_1 0.0017 ms 100.0% 
2025-09-09T14:19:56.3412472Z   _mkl_linear 0.0141 ms 12.1% 
2025-09-09T14:19:56.3412840Z SingleProcess AUTOTUNE benchmarking takes 0.2507 seconds and 1.7727 seconds precompiling for 2 choices
2025-09-09T14:19:56.3413267Z PASSED
2025-09-09T14:19:56.3413669Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_1_cpu Autotune Choices Stats:
2025-09-09T14:19:56.3414317Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_2", "best_time": 0.0020200000108161476}
2025-09-09T14:19:56.3414796Z AUTOTUNE mm(32x64, 64x32)
2025-09-09T14:19:56.3414995Z strides: [64, 1], [1, 64]
2025-09-09T14:19:56.3415179Z dtypes: torch.float16, torch.float16
2025-09-09T14:19:56.3415416Z   cpp_CppMicroGemmFP32Vec_2 0.0020 ms 100.0% 
2025-09-09T14:19:56.3415630Z   mm 0.0179 ms 11.3% 
2025-09-09T14:19:56.3415983Z SingleProcess AUTOTUNE benchmarking takes 0.2551 seconds and 1.9243 seconds precompiling for 2 choices
2025-09-09T14:19:56.3416375Z Autotune Choices Stats:
2025-09-09T14:19:56.3416733Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_3", "best_time": 0.0018599998838908505}
2025-09-09T14:19:56.3417136Z AUTOTUNE mm(32x32, 32x32)
2025-09-09T14:19:56.3417304Z strides: [32, 1], [1, 32]
2025-09-09T14:19:56.3417501Z dtypes: torch.float16, torch.float16
2025-09-09T14:19:56.3417736Z   cpp_CppMicroGemmFP32Vec_3 0.0019 ms 100.0% 
2025-09-09T14:19:56.3417948Z   mm 0.0170 ms 11.0% 
2025-09-09T14:19:56.3418298Z SingleProcess AUTOTUNE benchmarking takes 0.2557 seconds and 1.9013 seconds precompiling for 2 choices
2025-09-09T14:19:56.3418700Z PASSED
2025-09-09T14:19:56.3419096Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_2_cpu Autotune Choices Stats:
2025-09-09T14:19:56.3419713Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_4", "best_time": 0.0020489999315032037}
2025-09-09T14:21:06.2158318Z AUTOTUNE _weight_int8pack_mm(32x64, 32x64, 32)
2025-09-09T14:21:06.2158682Z strides: [64, 1], [64, 1], [1]
2025-09-09T14:21:06.2158992Z dtypes: torch.bfloat16, torch.int8, torch.bfloat16
2025-09-09T14:21:06.2159346Z   cpp_CppMicroGemmFP32Vec_4 0.0020 ms 100.0% 
2025-09-09T14:21:06.2159650Z   _weight_int8pack_mm 0.0091 ms 22.6% 
2025-09-09T14:21:06.2160165Z SingleProcess AUTOTUNE benchmarking takes 0.2514 seconds and 1.8825 seconds precompiling for 2 choices
2025-09-09T14:21:06.2160669Z Autotune Choices Stats:
2025-09-09T14:21:06.2161502Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_5", "best_time": 0.0019209999209124362}
2025-09-09T14:21:06.2162076Z AUTOTUNE _weight_int8pack_mm(32x32, 32x32, 32)
2025-09-09T14:21:06.2162365Z strides: [32, 1], [32, 1], [1]
2025-09-09T14:21:06.2162787Z dtypes: torch.bfloat16, torch.int8, torch.bfloat16
2025-09-09T14:21:06.2163119Z   cpp_CppMicroGemmFP32Vec_5 0.0019 ms 100.0% 
2025-09-09T14:21:06.2163407Z   _weight_int8pack_mm 0.0089 ms 21.6% 
2025-09-09T14:21:06.2163893Z SingleProcess AUTOTUNE benchmarking takes 0.2513 seconds and 1.8850 seconds precompiling for 2 choices
2025-09-09T14:21:06.2164585Z PASSED
2025-09-09T14:21:06.2165211Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_3_cuda PASSED
2025-09-09T14:21:06.2166122Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_4_cuda PASSED
2025-09-09T14:21:06.2167044Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_5_cuda PASSED
2025-09-09T14:21:06.2167864Z test/integration/test_integration.py::TestDynamicQuant::test_dynamic_quant PASSED
2025-09-09T14:21:06.2169063Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_groupwise_embedding_quant PASSED
2025-09-09T14:21:06.2169836Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_groupwise_quant PASSED
2025-09-09T14:21:06.2170524Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant PASSED
2025-09-09T14:21:06.2171249Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_0_cpu SKIPPED
2025-09-09T14:21:06.2172031Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_1_cpu SKIPPED
2025-09-09T14:21:06.2172810Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_2_cpu SKIPPED
2025-09-09T14:21:06.2173838Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_3_cuda PASSED
2025-09-09T14:21:06.2174601Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_4_cuda PASSED
2025-09-09T14:21:06.2175358Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_5_cuda PASSED
2025-09-09T14:21:06.2176114Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_0_cpu SKIPPED
2025-09-09T14:21:06.2176875Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_1_cpu SKIPPED
2025-09-09T14:21:06.2177628Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_2_cpu SKIPPED
2025-09-09T14:21:06.2178391Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_3_cuda PASSED
2025-09-09T14:21:06.2179150Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_4_cuda PASSED
2025-09-09T14:21:06.2179902Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_5_cuda PASSED
2025-09-09T14:21:06.2180593Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_0_cpu SKIPPED
2025-09-09T14:21:06.2181238Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_1_cpu SKIPPED
2025-09-09T14:21:06.2181901Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_2_cpu SKIPPED
2025-09-09T14:21:06.2182537Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_3_cuda PASSED
2025-09-09T14:21:06.2183297Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_4_cuda PASSED
2025-09-09T14:21:06.2183968Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_5_cuda PASSED
2025-09-09T14:21:06.2184625Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_0_cpu SKIPPED
2025-09-09T14:21:06.2185306Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_1_cpu SKIPPED
2025-09-09T14:21:06.2186016Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_2_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2186648Z    File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward
2025-09-09T14:21:06.2186972Z     x = self.lin1(x)
2025-09-09T14:21:06.2187080Z 
2025-09-09T14:21:06.2187192Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2187556Z    File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward
2025-09-09T14:21:06.2187877Z     x = self.relu(x)
2025-09-09T14:21:06.2187983Z 
2025-09-09T14:21:06.2188091Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2188442Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2188745Z     x = self.lin2(x)
2025-09-09T14:21:06.2188843Z 
2025-09-09T14:21:06.2188942Z PASSED
2025-09-09T14:21:06.2189390Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_3_cuda SKIPPED
2025-09-09T14:21:06.2190084Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_4_cuda SKIPPED
2025-09-09T14:21:06.2190715Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_5_cuda Autotune Choices Stats:
2025-09-09T14:21:06.2191287Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:21:06.2191644Z AUTOTUNE addmm(32x32, 32x32, 32x32)
2025-09-09T14:21:06.2191949Z strides: [0, 1], [32, 1], [1, 32]
2025-09-09T14:21:06.2192199Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:21:06.2192460Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:21:06.2192661Z   addmm 0.0081 ms 75.9% 
2025-09-09T14:21:06.2193022Z SingleProcess AUTOTUNE benchmarking takes 0.0843 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:21:06.2193450Z PASSED
2025-09-09T14:21:06.2193930Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_0_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2194560Z    File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward
2025-09-09T14:21:06.2194894Z     x = self.lin1(x)
2025-09-09T14:21:06.2194998Z 
2025-09-09T14:21:06.2195112Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2195478Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2195798Z     x = self.lin2(x)
2025-09-09T14:21:06.2195895Z 
2025-09-09T14:21:06.2195999Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2196352Z    File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward
2025-09-09T14:21:06.2196667Z     x = self.lin1(x)
2025-09-09T14:21:06.2196771Z 
2025-09-09T14:21:06.2196883Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2197229Z    File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward
2025-09-09T14:21:06.2197545Z     x = self.relu(x)
2025-09-09T14:21:06.2197655Z 
2025-09-09T14:21:06.2197769Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2198121Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2198431Z     x = self.lin2(x)
2025-09-09T14:21:06.2198524Z 
2025-09-09T14:21:06.2198639Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2199081Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2199415Z     x = self.lin2(x)
2025-09-09T14:21:06.2199515Z 
2025-09-09T14:21:06.2199602Z PASSED
2025-09-09T14:21:06.2200084Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_1_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2200698Z    File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward
2025-09-09T14:21:06.2201014Z     x = self.lin1(x)
2025-09-09T14:21:06.2201111Z 
2025-09-09T14:21:06.2201225Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2201582Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2201886Z     x = self.lin2(x)
2025-09-09T14:21:06.2201979Z 
2025-09-09T14:21:06.2202082Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2202426Z    File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward
2025-09-09T14:21:06.2202821Z     x = self.lin1(x)
2025-09-09T14:21:06.2202933Z 
2025-09-09T14:21:06.2203040Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2203393Z    File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward
2025-09-09T14:21:06.2203709Z     x = self.relu(x)
2025-09-09T14:21:06.2203804Z 
2025-09-09T14:21:06.2203923Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2204266Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2204570Z     x = self.lin2(x)
2025-09-09T14:21:06.2204664Z 
2025-09-09T14:21:06.2204766Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2205125Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2205439Z     x = self.lin2(x)
2025-09-09T14:21:06.2205550Z 
2025-09-09T14:21:06.2205639Z PASSED
2025-09-09T14:21:06.2206114Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_2_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2206842Z    File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward
2025-09-09T14:21:06.2207157Z     x = self.lin1(x)
2025-09-09T14:21:06.2207256Z 
2025-09-09T14:21:06.2207366Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2207741Z    File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward
2025-09-09T14:21:06.2208049Z     x = self.relu(x)
2025-09-09T14:21:06.2208145Z 
2025-09-09T14:21:06.2208251Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2208619Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2208931Z     x = self.lin2(x)
2025-09-09T14:21:06.2209033Z 
2025-09-09T14:21:06.2209137Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:21:06.2209484Z    File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward
2025-09-09T14:21:06.2209799Z     x = self.lin2(x)
2025-09-09T14:21:06.2209894Z 
2025-09-09T14:21:06.2209987Z PASSED
2025-09-09T14:21:06.2210431Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_3_cuda PASSED
2025-09-09T14:21:47.1789966Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_4_cuda PASSED
2025-09-09T14:21:47.1790921Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_5_cuda PASSED
2025-09-09T14:21:47.1791721Z test/integration/test_integration.py::TorchCompileUnitTest::test_fullgraph PASSED
2025-09-09T14:21:47.1792449Z test/integration/test_integration.py::UtilsUnitTest::test_shape_logger PASSED
2025-09-09T14:21:47.1793319Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_non_dynamically_quantizable_linear SKIPPED
2025-09-09T14:21:47.1794412Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_on_dummy_distilbert 
2025-09-09T14:21:47.1794869Z tokenizer_config.json:   0% 0.00/48.0 [00:00<?, ?B/s]
2025-09-09T14:21:47.1795160Z tokenizer_config.json: 100% 48.0/48.0 [00:00<00:00, 14.2kB/s]
2025-09-09T14:21:47.1795358Z 
2025-09-09T14:21:47.1795433Z vocab.txt:   0% 0.00/232k [00:00<?, ?B/s]
2025-09-09T14:21:47.1795665Z vocab.txt: 100% 232k/232k [00:00<00:00, 46.9MB/s]
2025-09-09T14:21:47.1795824Z 
2025-09-09T14:21:47.1795911Z tokenizer.json:   0% 0.00/466k [00:00<?, ?B/s]
2025-09-09T14:21:47.1796172Z tokenizer.json: 100% 466k/466k [00:00<00:00, 30.1MB/s]
2025-09-09T14:21:47.1796343Z 
2025-09-09T14:21:47.1796415Z config.json:   0% 0.00/483 [00:00<?, ?B/s]
2025-09-09T14:21:47.1796657Z config.json: 100% 483/483 [00:00<00:00, 1.06MB/s]
2025-09-09T14:21:47.1796812Z 
2025-09-09T14:21:47.1796905Z model.safetensors:   0% 0.00/268M [00:00<?, ?B/s]
2025-09-09T14:21:47.1797166Z model.safetensors:   0% 68.6k/268M [00:00<11:25, 391kB/s]
2025-09-09T14:21:47.1797449Z model.safetensors:  50% 134M/268M [00:00<00:00, 322MB/s] 
2025-09-09T14:21:47.1797734Z model.safetensors: 100% 268M/268M [00:00<00:00, 546MB/s]
2025-09-09T14:21:47.1798011Z model.safetensors: 100% 268M/268M [00:00<00:00, 451MB/s]
2025-09-09T14:21:47.1798252Z sqnr_sq tensor(23.7027)
2025-09-09T14:21:47.1798436Z sqnr_pt_quant tensor(8.3283)
2025-09-09T14:21:47.1798660Z PASSED
2025-09-09T14:21:47.1799089Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_00_cpu SKIPPED
2025-09-09T14:21:47.1799726Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_01_cpu SKIPPED
2025-09-09T14:21:47.1800355Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_02_cpu SKIPPED
2025-09-09T14:21:47.1800966Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_03_cpu SKIPPED
2025-09-09T14:21:47.1801567Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_04_cpu SKIPPED
2025-09-09T14:21:47.1802177Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_05_cpu SKIPPED
2025-09-09T14:21:47.1803105Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_06_cpu SKIPPED
2025-09-09T14:21:47.1803730Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_07_cpu SKIPPED
2025-09-09T14:21:47.1804352Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_08_cpu SKIPPED
2025-09-09T14:21:47.1804978Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_09_cuda SKIPPED
2025-09-09T14:21:47.1805588Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_10_cuda SKIPPED
2025-09-09T14:21:47.1806248Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_11_cuda activation_shapes: torch.Size([32, 128]), times_seen: 2
2025-09-09T14:21:47.1806855Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:21:47.1807198Z Autotune Choices Stats:
2025-09-09T14:21:47.1807530Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.011264000087976456}
2025-09-09T14:21:47.1807882Z AUTOTUNE addmm(32x128, 32x128, 128x128)
2025-09-09T14:21:47.1808095Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:21:47.1808325Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:21:47.1808572Z   bias_addmm 0.0113 ms 100.0% 
2025-09-09T14:21:47.1808754Z   addmm 0.0154 ms 73.3% 
2025-09-09T14:21:47.1809111Z SingleProcess AUTOTUNE benchmarking takes 0.0855 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:21:47.1809661Z >>time: 0.012ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:21:47.1810287Z >>time: 0.015ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.012ms 
2025-09-09T14:21:47.1811068Z >>time: 0.005ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.012ms 
2025-09-09T14:21:47.1811792Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.005ms
2025-09-09T14:21:47.1812440Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:21:47.1812758Z 
2025-09-09T14:21:47.1812866Z PASSED
2025-09-09T14:21:47.1813278Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_12_cuda SKIPPED
2025-09-09T14:21:47.1813899Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_13_cuda SKIPPED
2025-09-09T14:21:47.1814565Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_14_cuda activation_shapes: torch.Size([32, 128]), times_seen: 2
2025-09-09T14:21:47.1815176Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128])
2025-09-09T14:21:47.1815499Z Autotune Choices Stats:
2025-09-09T14:21:47.1815827Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.0071680000983178616}
2025-09-09T14:21:47.1816184Z AUTOTUNE addmm(32x128, 32x128, 128x128)
2025-09-09T14:21:47.1816390Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:21:47.1816623Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:21:47.1816861Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:21:47.1817048Z   addmm 0.0092 ms 77.8% 
2025-09-09T14:21:47.1817403Z SingleProcess AUTOTUNE benchmarking takes 0.0848 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:21:47.1817980Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:21:47.1818611Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:21:47.1819308Z >>time: 0.005ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.007ms 
2025-09-09T14:21:47.1820127Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.005ms
2025-09-09T14:21:47.1820774Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:21:47.1821096Z 
2025-09-09T14:21:47.1821184Z PASSED
2025-09-09T14:21:47.1821610Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_15_cuda SKIPPED
2025-09-09T14:21:47.1822228Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_16_cuda SKIPPED
2025-09-09T14:21:47.1822887Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_17_cuda activation_shapes: torch.Size([32, 128]), times_seen: 2
2025-09-09T14:21:47.1823505Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128])
2025-09-09T14:21:47.1823835Z Autotune Choices Stats:
2025-09-09T14:21:47.1824161Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.0071680000983178616}
2025-09-09T14:21:47.1824535Z AUTOTUNE addmm(32x128, 32x128, 128x128)
2025-09-09T14:21:47.1824751Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:21:47.1824991Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:21:47.1825251Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:21:47.1825428Z   addmm 0.0091 ms 78.6% 
2025-09-09T14:21:47.1825780Z SingleProcess AUTOTUNE benchmarking takes 0.0851 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:21:47.1826338Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:21:47.1826960Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:21:47.1827654Z >>time: 0.004ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.007ms 
2025-09-09T14:21:47.1828495Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.004ms
2025-09-09T14:21:47.1829161Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:21:47.1829483Z 
2025-09-09T14:21:47.1829570Z PASSED
2025-09-09T14:21:47.1829994Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_0_cpu SKIPPED
2025-09-09T14:21:47.1830642Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_1_cpu SKIPPED
2025-09-09T14:21:47.1831274Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_2_cpu SKIPPED
2025-09-09T14:21:47.1831954Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_3_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1
2025-09-09T14:21:47.1832576Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:21:47.1832901Z Autotune Choices Stats:
2025-09-09T14:21:47.1833223Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.007199999876320362}
2025-09-09T14:21:47.1833578Z AUTOTUNE addmm(16x128, 16x128, 128x128)
2025-09-09T14:21:47.1833785Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:21:47.1834010Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:21:47.1834255Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:21:47.1834433Z   addmm 0.0102 ms 70.3% 
2025-09-09T14:21:47.1834784Z SingleProcess AUTOTUNE benchmarking takes 0.0848 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:21:47.1835336Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:21:47.1835951Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.009ms 
2025-09-09T14:21:47.1836639Z >>time: 0.004ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.009ms 
2025-09-09T14:21:47.1837633Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 128]), torch.Size([128, 128]), torch.Size([128]), torch.float32) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:21:47.1838468Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:21:47.1838794Z 
2025-09-09T14:21:47.1838886Z PASSED
2025-09-09T14:22:04.3951707Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_4_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1
2025-09-09T14:22:04.3952562Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128])
2025-09-09T14:22:04.3952981Z Autotune Choices Stats:
2025-09-09T14:22:04.3953396Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.0071680000983178616}
2025-09-09T14:22:04.3953843Z AUTOTUNE addmm(16x128, 16x128, 128x128)
2025-09-09T14:22:04.3954107Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:22:04.3954438Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:22:04.3954751Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:22:04.3954975Z   addmm 0.0092 ms 77.8% 
2025-09-09T14:22:04.3955437Z SingleProcess AUTOTUNE benchmarking takes 0.0847 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:04.3956145Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:04.3956925Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:22:04.3957792Z >>time: 0.004ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.007ms 
2025-09-09T14:22:04.3958925Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 128]), torch.Size([128, 128]), torch.Size([128]), torch.float16) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:22:04.3960132Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:22:04.3960478Z 
2025-09-09T14:22:04.3960771Z PASSED
2025-09-09T14:22:04.3961246Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_5_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1
2025-09-09T14:22:04.3961869Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128])
2025-09-09T14:22:04.3962195Z Autotune Choices Stats:
2025-09-09T14:22:04.3962522Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.005119999870657921}
2025-09-09T14:22:04.3962975Z AUTOTUNE addmm(16x128, 16x128, 128x128)
2025-09-09T14:22:04.3963184Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:22:04.3963430Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:22:04.3963680Z   bias_addmm 0.0051 ms 100.0% 
2025-09-09T14:22:04.3963865Z   addmm 0.0092 ms 55.9% 
2025-09-09T14:22:04.3964256Z SingleProcess AUTOTUNE benchmarking takes 0.0847 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:04.3964820Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:04.3965453Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:22:04.3966148Z >>time: 0.004ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.007ms 
2025-09-09T14:22:04.3967063Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 128]), torch.Size([128, 128]), torch.Size([128]), torch.bfloat16) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:22:04.3967895Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:22:04.3968213Z 
2025-09-09T14:22:04.3968641Z PASSED
2025-09-09T14:22:04.3969094Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_0_cpu SKIPPED
2025-09-09T14:22:04.3969950Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_1_cpu SKIPPED
2025-09-09T14:22:04.3970555Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_2_cpu SKIPPED
2025-09-09T14:22:04.3971158Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_3_cuda SKIPPED
2025-09-09T14:22:04.3971755Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_4_cuda SKIPPED
2025-09-09T14:22:04.3972352Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_5_cuda SKIPPED
2025-09-09T14:22:04.3972988Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_hp_float activation_shapes: torch.Size([128, 128]), times_seen: 1
2025-09-09T14:22:04.3973576Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:22:04.3974081Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQFloat32LinearWeight'>, to_beat: infms 
2025-09-09T14:22:04.3974568Z best_cls=<class 'torchao.quantization.autoquant.AQFloat32LinearWeight'>
2025-09-09T14:22:04.3974822Z 
2025-09-09T14:22:04.3974938Z activation_shapes: torch.Size([128, 128]), times_seen: 1
2025-09-09T14:22:04.3975320Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:22:04.3975813Z >>time: 0.013ms for <class 'torchao.quantization.autoquant.AQBFloat16LinearWeight'>, to_beat: infms 
2025-09-09T14:22:04.3976306Z best_cls=<class 'torchao.quantization.autoquant.AQBFloat16LinearWeight'>
2025-09-09T14:22:04.3976557Z 
2025-09-09T14:22:04.3976674Z activation_shapes: torch.Size([128, 128]), times_seen: 1
2025-09-09T14:22:04.3977026Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:22:04.3977514Z >>time: 0.013ms for <class 'torchao.quantization.autoquant.AQFloat16LinearWeight'>, to_beat: infms 
2025-09-09T14:22:04.3978120Z best_cls=<class 'torchao.quantization.autoquant.AQFloat16LinearWeight'>
2025-09-09T14:22:04.3978386Z 
2025-09-09T14:22:04.3978477Z PASSED
2025-09-09T14:22:04.3978882Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_0_cpu SKIPPED
2025-09-09T14:22:04.3979482Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_1_cpu SKIPPED
2025-09-09T14:22:04.3980072Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_2_cpu SKIPPED
2025-09-09T14:22:04.3980667Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_3_cuda SKIPPED
2025-09-09T14:22:04.3981264Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_4_cuda SKIPPED
2025-09-09T14:22:04.3981858Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_5_cuda SKIPPED
2025-09-09T14:22:04.3982459Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_00_cpu SKIPPED
2025-09-09T14:22:04.3983056Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_01_cpu SKIPPED
2025-09-09T14:22:04.3983648Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_02_cpu SKIPPED
2025-09-09T14:22:04.3984241Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_03_cpu SKIPPED
2025-09-09T14:22:04.3984834Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_04_cpu SKIPPED
2025-09-09T14:22:04.3985432Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_05_cpu SKIPPED
2025-09-09T14:22:04.3986045Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_06_cpu SKIPPED
2025-09-09T14:22:04.3986640Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_07_cpu SKIPPED
2025-09-09T14:22:04.3987236Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_08_cpu SKIPPED
2025-09-09T14:22:04.3987928Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_09_cuda SKIPPED
2025-09-09T14:22:04.3988540Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_10_cuda SKIPPED
2025-09-09T14:22:04.3989149Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_11_cuda PASSED
2025-09-09T14:22:04.3989747Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_12_cuda SKIPPED
2025-09-09T14:22:04.3990353Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_13_cuda SKIPPED
2025-09-09T14:22:04.3990948Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_14_cuda PASSED
2025-09-09T14:22:04.3991561Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_15_cuda SKIPPED
2025-09-09T14:22:04.3992176Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_16_cuda SKIPPED
2025-09-09T14:22:04.3992772Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_17_cuda PASSED
2025-09-09T14:22:04.3993371Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_0_cpu SKIPPED
2025-09-09T14:22:04.3993964Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_1_cpu SKIPPED
2025-09-09T14:22:04.3994557Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_2_cpu SKIPPED
2025-09-09T14:22:04.3995147Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_3_cuda PASSED
2025-09-09T14:22:04.3995734Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_4_cuda PASSED
2025-09-09T14:22:04.3996320Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_5_cuda PASSED
2025-09-09T14:22:04.3996981Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_0_cpu SKIPPED
2025-09-09T14:22:04.3997597Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_1_cpu SKIPPED
2025-09-09T14:22:04.3998177Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_2_cpu SKIPPED
2025-09-09T14:22:04.3998806Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_3_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1
2025-09-09T14:22:04.3999413Z weight_shape: torch.Size([4096, 4096]), dtype: torch.float32, bias_shape: torch.Size([4096])
2025-09-09T14:22:04.3999749Z Autotune Choices Stats:
2025-09-09T14:22:04.4000070Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.3164159953594208}
2025-09-09T14:22:04.4000427Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096)
2025-09-09T14:22:04.4000650Z strides: [0, 1], [4096, 1], [1, 4096]
2025-09-09T14:22:04.4000886Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:22:04.4001126Z   bias_addmm 0.3164 ms 100.0% 
2025-09-09T14:22:04.4001321Z   addmm 0.3226 ms 98.1% 
2025-09-09T14:22:04.4001666Z SingleProcess AUTOTUNE benchmarking takes 0.1204 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:25.3208877Z >>time: 0.321ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:25.3209585Z >>time: 0.093ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.321ms 
2025-09-09T14:22:25.3210302Z >>time: 0.093ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.093ms 
2025-09-09T14:22:25.3211225Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([1, 4096]), torch.Size([4096, 4096]), torch.Size([4096]), torch.float32) due to self.size(0) needs to be greater than 16, but got 1
2025-09-09T14:22:25.3212064Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>
2025-09-09T14:22:25.3213385Z 
2025-09-09T14:22:25.3213697Z PASSED
2025-09-09T14:22:25.3214173Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_4_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1
2025-09-09T14:22:25.3214785Z weight_shape: torch.Size([4096, 4096]), dtype: torch.float16, bias_shape: torch.Size([4096])
2025-09-09T14:22:25.3215123Z Autotune Choices Stats:
2025-09-09T14:22:25.3215470Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.19148799777030945}
2025-09-09T14:22:25.3215848Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096)
2025-09-09T14:22:25.3216069Z strides: [0, 1], [4096, 1], [1, 4096]
2025-09-09T14:22:25.3216312Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:22:25.3216559Z   bias_addmm 0.1915 ms 100.0% 
2025-09-09T14:22:25.3216750Z   addmm 0.1946 ms 98.4% 
2025-09-09T14:22:25.3217117Z SingleProcess AUTOTUNE benchmarking takes 0.1145 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:25.3217685Z >>time: 0.193ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:25.3218321Z >>time: 0.092ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.193ms 
2025-09-09T14:22:25.3219010Z >>time: 0.092ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.092ms 
2025-09-09T14:22:25.3219932Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([1, 4096]), torch.Size([4096, 4096]), torch.Size([4096]), torch.float16) due to self.size(0) needs to be greater than 16, but got 1
2025-09-09T14:22:25.3220769Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:22:25.3221090Z 
2025-09-09T14:22:25.3221185Z PASSED
2025-09-09T14:22:25.3221623Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_5_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1
2025-09-09T14:22:25.3222395Z weight_shape: torch.Size([4096, 4096]), dtype: torch.bfloat16, bias_shape: torch.Size([4096])
2025-09-09T14:22:25.3222751Z Autotune Choices Stats:
2025-09-09T14:22:25.3223074Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.19148799777030945}
2025-09-09T14:22:25.3223427Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096)
2025-09-09T14:22:25.3223644Z strides: [0, 1], [4096, 1], [1, 4096]
2025-09-09T14:22:25.3223888Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:22:25.3224146Z   bias_addmm 0.1915 ms 100.0% 
2025-09-09T14:22:25.3224327Z   addmm 0.1946 ms 98.4% 
2025-09-09T14:22:25.3224687Z SingleProcess AUTOTUNE benchmarking takes 0.1144 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:25.3225245Z >>time: 0.194ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:25.3225866Z >>time: 0.092ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.194ms 
2025-09-09T14:22:25.3226581Z >>time: 0.091ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.092ms 
2025-09-09T14:22:25.3227502Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([1, 4096]), torch.Size([4096, 4096]), torch.Size([4096]), torch.bfloat16) due to self.size(0) needs to be greater than 16, but got 1
2025-09-09T14:22:25.3228348Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:22:25.3228665Z 
2025-09-09T14:22:25.3228762Z PASSED
2025-09-09T14:22:25.3229213Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_0_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1
2025-09-09T14:22:25.3229826Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:22:25.3230144Z Autotune Choices Stats:
2025-09-09T14:22:25.3230474Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.010239999741315842}
2025-09-09T14:22:25.3230922Z AUTOTUNE addmm(128x128, 128x128, 128x128)
2025-09-09T14:22:25.3231128Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:22:25.3231362Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:22:25.3231606Z   bias_addmm 0.0102 ms 100.0% 
2025-09-09T14:22:25.3231794Z   addmm 0.0113 ms 90.9% 
2025-09-09T14:22:25.3232145Z SingleProcess AUTOTUNE benchmarking takes 0.0850 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:25.3232709Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:25.3233501Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'> because the sqnr is too small, minimum expected sqnr: 60, got 53.82148742675781
2025-09-09T14:22:25.3234527Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'> because the sqnr is too small, minimum expected sqnr: 60, got 54.00670623779297
2025-09-09T14:22:25.3235566Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> because the sqnr is too small, minimum expected sqnr: 60, got 47.441158294677734
2025-09-09T14:22:25.3236284Z best_cls=<class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>
2025-09-09T14:22:25.3236542Z 
2025-09-09T14:22:25.3236633Z PASSED
2025-09-09T14:22:25.3237089Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_1_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1
2025-09-09T14:22:25.3237685Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128])
2025-09-09T14:22:25.3238015Z Autotune Choices Stats:
2025-09-09T14:22:25.3238336Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.005119999870657921}
2025-09-09T14:22:25.3238701Z AUTOTUNE addmm(128x128, 128x128, 128x128)
2025-09-09T14:22:25.3238906Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:22:25.3239239Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:22:25.3239510Z   bias_addmm 0.0051 ms 100.0% 
2025-09-09T14:22:25.3239685Z   addmm 0.0082 ms 62.5% 
2025-09-09T14:22:25.3240038Z SingleProcess AUTOTUNE benchmarking takes 0.0846 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:25.3240602Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:25.3241374Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'> because the sqnr is too small, minimum expected sqnr: 60, got 54.25
2025-09-09T14:22:25.3242361Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'> because the sqnr is too small, minimum expected sqnr: 60, got 54.40625
2025-09-09T14:22:25.3243458Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> because the sqnr is too small, minimum expected sqnr: 60, got 48.0625
2025-09-09T14:22:25.3244183Z best_cls=<class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>
2025-09-09T14:22:25.3244434Z 
2025-09-09T14:22:25.3244526Z PASSED
2025-09-09T14:22:25.3244982Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_2_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1
2025-09-09T14:22:25.3245594Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128])
2025-09-09T14:22:25.3245919Z Autotune Choices Stats:
2025-09-09T14:22:25.3246230Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:22:25.3246582Z AUTOTUNE addmm(128x128, 128x128, 128x128)
2025-09-09T14:22:25.3246795Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:22:25.3247032Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:22:25.3247289Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:22:25.3247473Z   addmm 0.0092 ms 66.7% 
2025-09-09T14:22:25.3247919Z SingleProcess AUTOTUNE benchmarking takes 0.0847 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:22:25.3248479Z >>time: 0.008ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:22:25.3249236Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'> because the sqnr is too small, minimum expected sqnr: 60, got 49.0
2025-09-09T14:22:25.3250210Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'> because the sqnr is too small, minimum expected sqnr: 60, got 48.75
2025-09-09T14:22:25.3251178Z skipping q_cls: <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> because the sqnr is too small, minimum expected sqnr: 60, got 46.0
2025-09-09T14:22:25.3251872Z best_cls=<class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>
2025-09-09T14:22:25.3252118Z 
2025-09-09T14:22:25.3252209Z PASSED
2025-09-09T14:22:25.3252570Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_00_cpu (m, k, n):  (16, 128, 128)
2025-09-09T14:22:25.3252996Z SKIPPED
2025-09-09T14:22:25.3253342Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_01_cpu (m, k, n):  (64, 128, 128)
2025-09-09T14:22:25.3253762Z SKIPPED
2025-09-09T14:22:25.3254107Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_02_cpu (m, k, n):  (16, 128, 256)
2025-09-09T14:22:25.3254517Z SKIPPED
2025-09-09T14:22:25.3254871Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_03_cpu (m, k, n):  (16, 256, 128)
2025-09-09T14:22:25.3255283Z SKIPPED
2025-09-09T14:22:25.3255626Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_04_cpu (m, k, n):  (64, 256, 128)
2025-09-09T14:22:25.3256029Z SKIPPED
2025-09-09T14:22:25.3256463Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_05_cpu (m, k, n):  (16, 128, 128)
2025-09-09T14:22:25.3256906Z SKIPPED
2025-09-09T14:23:05.0910704Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_06_cpu (m, k, n):  (64, 128, 128)
2025-09-09T14:23:05.0912135Z SKIPPED
2025-09-09T14:23:05.0912724Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_07_cpu (m, k, n):  (16, 128, 256)
2025-09-09T14:23:05.0913272Z SKIPPED
2025-09-09T14:23:05.0913751Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_08_cpu (m, k, n):  (16, 256, 128)
2025-09-09T14:23:05.0914299Z SKIPPED
2025-09-09T14:23:05.0914778Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_09_cpu (m, k, n):  (64, 256, 128)
2025-09-09T14:23:05.0915338Z SKIPPED
2025-09-09T14:23:05.0915790Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_10_cpu (m, k, n):  (16, 128, 128)
2025-09-09T14:23:05.0916311Z SKIPPED
2025-09-09T14:23:05.0916798Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_11_cpu (m, k, n):  (64, 128, 128)
2025-09-09T14:23:05.0917323Z SKIPPED
2025-09-09T14:23:05.0917790Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_12_cpu (m, k, n):  (16, 128, 256)
2025-09-09T14:23:05.0918302Z SKIPPED
2025-09-09T14:23:05.0918730Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_13_cpu (m, k, n):  (16, 256, 128)
2025-09-09T14:23:05.0919246Z SKIPPED
2025-09-09T14:23:05.0919676Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_14_cpu (m, k, n):  (64, 256, 128)
2025-09-09T14:23:05.0931333Z SKIPPED
2025-09-09T14:23:05.0932042Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_15_cuda (m, k, n):  (16, 128, 128)
2025-09-09T14:23:05.0932727Z PASSED
2025-09-09T14:23:05.0933381Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_16_cuda (m, k, n):  (64, 128, 128)
2025-09-09T14:23:05.0934425Z activation_shapes: torch.Size([64, 128]), times_seen: 1
2025-09-09T14:23:05.0934978Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:23:05.0935332Z Autotune Choices Stats:
2025-09-09T14:23:05.0935672Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.010239999741315842}
2025-09-09T14:23:05.0936043Z AUTOTUNE addmm(64x128, 64x128, 128x128)
2025-09-09T14:23:05.0936263Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:23:05.0936516Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:23:05.0936773Z   bias_addmm 0.0102 ms 100.0% 
2025-09-09T14:23:05.0936970Z   addmm 0.0154 ms 66.7% 
2025-09-09T14:23:05.0937333Z SingleProcess AUTOTUNE benchmarking takes 0.0849 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:05.0937924Z >>time: 0.012ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:05.0938576Z >>time: 0.014ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.012ms 
2025-09-09T14:23:05.0939304Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.012ms
2025-09-09T14:23:05.0940031Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'>, to_beat: 0.041ms 
2025-09-09T14:23:05.0940802Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> interpolated, breakeven constant: 1.25
2025-09-09T14:23:05.0941509Z best_cls=<class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'>
2025-09-09T14:23:05.0941830Z 
2025-09-09T14:23:05.0941972Z PASSED
2025-09-09T14:23:05.0942342Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_17_cuda (m, k, n):  (16, 128, 256)
2025-09-09T14:23:05.0942805Z activation_shapes: torch.Size([16, 128]), times_seen: 1
2025-09-09T14:23:05.0943357Z weight_shape: torch.Size([256, 128]), dtype: torch.float32, bias_shape: torch.Size([256])
2025-09-09T14:23:05.0943716Z Autotune Choices Stats:
2025-09-09T14:23:05.0944095Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.008191999979317188}
2025-09-09T14:23:05.0944467Z AUTOTUNE addmm(16x256, 16x128, 128x256)
2025-09-09T14:23:05.0944683Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:23:05.0944916Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:23:05.0945162Z   bias_addmm 0.0082 ms 100.0% 
2025-09-09T14:23:05.0945342Z   addmm 0.0102 ms 80.0% 
2025-09-09T14:23:05.0945701Z SingleProcess AUTOTUNE benchmarking takes 0.0850 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:05.0946260Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:05.0946907Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.010ms 
2025-09-09T14:23:05.0947608Z >>time: 0.005ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.010ms 
2025-09-09T14:23:05.0948515Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 128]), torch.Size([256, 128]), torch.Size([256]), torch.float32) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:23:05.0949360Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:23:05.0949676Z 
2025-09-09T14:23:05.0949775Z PASSED
2025-09-09T14:23:05.0950143Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_18_cuda (m, k, n):  (16, 256, 128)
2025-09-09T14:23:05.0950610Z activation_shapes: torch.Size([16, 256]), times_seen: 1
2025-09-09T14:23:05.0950968Z weight_shape: torch.Size([128, 256]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:23:05.0951292Z Autotune Choices Stats:
2025-09-09T14:23:05.0951701Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.01017600018531084}
2025-09-09T14:23:05.0952058Z AUTOTUNE addmm(16x128, 16x256, 256x128)
2025-09-09T14:23:05.0952269Z strides: [0, 1], [256, 1], [1, 256]
2025-09-09T14:23:05.0952493Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:23:05.0952740Z   bias_addmm 0.0102 ms 100.0% 
2025-09-09T14:23:05.0952920Z   addmm 0.0102 ms 99.4% 
2025-09-09T14:23:05.0953280Z SingleProcess AUTOTUNE benchmarking takes 0.0851 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:05.0953831Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:05.0954451Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.011ms 
2025-09-09T14:23:05.0955141Z >>time: 0.004ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.011ms 
2025-09-09T14:23:05.0956048Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 256]), torch.Size([128, 256]), torch.Size([128]), torch.float32) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:23:05.0956884Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:23:05.0957200Z 
2025-09-09T14:23:05.0957288Z PASSED
2025-09-09T14:23:05.0957654Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_19_cuda (m, k, n):  (64, 256, 128)
2025-09-09T14:23:05.0958107Z activation_shapes: torch.Size([64, 256]), times_seen: 1
2025-09-09T14:23:05.0958458Z weight_shape: torch.Size([128, 256]), dtype: torch.float32, bias_shape: torch.Size([128])
2025-09-09T14:23:05.0958787Z Autotune Choices Stats:
2025-09-09T14:23:05.0959096Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.013248000293970108}
2025-09-09T14:23:05.0959454Z AUTOTUNE addmm(64x128, 64x256, 256x128)
2025-09-09T14:23:05.0959769Z strides: [0, 1], [256, 1], [1, 256]
2025-09-09T14:23:05.0960032Z dtypes: torch.float32, torch.float32, torch.float32
2025-09-09T14:23:05.0960278Z   bias_addmm 0.0132 ms 100.0% 
2025-09-09T14:23:05.0960456Z   addmm 0.0154 ms 86.3% 
2025-09-09T14:23:05.0960806Z SingleProcess AUTOTUNE benchmarking takes 0.0858 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:05.0961358Z >>time: 0.013ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:05.0961980Z >>time: 0.015ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.013ms 
2025-09-09T14:23:05.0962690Z >>time: 0.008ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.013ms
2025-09-09T14:23:05.0963509Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'>, to_beat: 0.042ms 
2025-09-09T14:23:05.0964280Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> interpolated, breakeven constant: 1.67
2025-09-09T14:23:05.0964979Z best_cls=<class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'>
2025-09-09T14:23:05.0965303Z 
2025-09-09T14:23:05.0965392Z PASSED
2025-09-09T14:23:05.0965749Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_20_cuda (m, k, n):  (16, 128, 128)
2025-09-09T14:23:05.0966176Z PASSED
2025-09-09T14:23:05.0966528Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_21_cuda (m, k, n):  (64, 128, 128)
2025-09-09T14:23:05.0966970Z activation_shapes: torch.Size([64, 128]), times_seen: 1
2025-09-09T14:23:05.0967339Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128])
2025-09-09T14:23:05.0967662Z Autotune Choices Stats:
2025-09-09T14:23:05.0967982Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.0071680000983178616}
2025-09-09T14:23:05.0968765Z AUTOTUNE addmm(64x128, 64x128, 128x128)
2025-09-09T14:23:05.0968991Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:23:05.0969223Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:23:05.0969475Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:23:05.0969666Z   addmm 0.0092 ms 77.8% 
2025-09-09T14:23:05.0970028Z SingleProcess AUTOTUNE benchmarking takes 0.0845 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:05.0970594Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:05.0971215Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:23:05.0971933Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.007ms
2025-09-09T14:23:05.0972656Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:23:05.0973421Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> interpolated, breakeven constant: 0.00
2025-09-09T14:23:41.5554928Z best_cls=<class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>
2025-09-09T14:23:41.5556121Z 
2025-09-09T14:23:41.5556860Z PASSED
2025-09-09T14:23:41.5557321Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_22_cuda (m, k, n):  (16, 128, 256)
2025-09-09T14:23:41.5557809Z activation_shapes: torch.Size([16, 128]), times_seen: 1
2025-09-09T14:23:41.5558191Z weight_shape: torch.Size([256, 128]), dtype: torch.float16, bias_shape: torch.Size([256])
2025-09-09T14:23:41.5558526Z Autotune Choices Stats:
2025-09-09T14:23:41.5558867Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.0071680000983178616}
2025-09-09T14:23:41.5559230Z AUTOTUNE addmm(16x256, 16x128, 128x256)
2025-09-09T14:23:41.5559780Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:23:41.5560032Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:23:41.5560280Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:23:41.5560472Z   addmm 0.0092 ms 77.8% 
2025-09-09T14:23:41.5560844Z SingleProcess AUTOTUNE benchmarking takes 0.0847 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:41.5561430Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:41.5562066Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:23:41.5562777Z >>time: 0.004ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.007ms 
2025-09-09T14:23:41.5563835Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 128]), torch.Size([256, 128]), torch.Size([256]), torch.float16) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:23:41.5564675Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:23:41.5565004Z 
2025-09-09T14:23:41.5565121Z PASSED
2025-09-09T14:23:41.5565518Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_23_cuda (m, k, n):  (16, 256, 128)
2025-09-09T14:23:41.5565978Z activation_shapes: torch.Size([16, 256]), times_seen: 1
2025-09-09T14:23:41.5566347Z weight_shape: torch.Size([128, 256]), dtype: torch.float16, bias_shape: torch.Size([128])
2025-09-09T14:23:41.5566684Z Autotune Choices Stats:
2025-09-09T14:23:41.5567008Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.008191999979317188}
2025-09-09T14:23:41.5567371Z AUTOTUNE addmm(16x128, 16x256, 256x128)
2025-09-09T14:23:41.5567591Z strides: [0, 1], [256, 1], [1, 256]
2025-09-09T14:23:41.5567836Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:23:41.5568081Z   bias_addmm 0.0082 ms 100.0% 
2025-09-09T14:23:41.5568697Z   addmm 0.0092 ms 88.9% 
2025-09-09T14:23:41.5569063Z SingleProcess AUTOTUNE benchmarking takes 0.0848 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:41.5569638Z >>time: 0.008ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:41.5570273Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.008ms 
2025-09-09T14:23:41.5570973Z >>time: 0.005ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.008ms 
2025-09-09T14:23:41.5571891Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 256]), torch.Size([128, 256]), torch.Size([128]), torch.float16) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:23:41.5572718Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:23:41.5573049Z 
2025-09-09T14:23:41.5573155Z PASSED
2025-09-09T14:23:41.5573542Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_24_cuda (m, k, n):  (64, 256, 128)
2025-09-09T14:23:41.5573998Z activation_shapes: torch.Size([64, 256]), times_seen: 1
2025-09-09T14:23:41.5574366Z weight_shape: torch.Size([128, 256]), dtype: torch.float16, bias_shape: torch.Size([128])
2025-09-09T14:23:41.5574701Z Autotune Choices Stats:
2025-09-09T14:23:41.5575020Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.008191999979317188}
2025-09-09T14:23:41.5575373Z AUTOTUNE addmm(64x128, 64x256, 256x128)
2025-09-09T14:23:41.5575577Z strides: [0, 1], [256, 1], [1, 256]
2025-09-09T14:23:41.5575807Z dtypes: torch.float16, torch.float16, torch.float16
2025-09-09T14:23:41.5576043Z   bias_addmm 0.0082 ms 100.0% 
2025-09-09T14:23:41.5576226Z   addmm 0.0092 ms 88.9% 
2025-09-09T14:23:41.5576575Z SingleProcess AUTOTUNE benchmarking takes 0.0849 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:41.5577267Z >>time: 0.008ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:41.5577895Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.008ms 
2025-09-09T14:23:41.5578617Z >>time: 0.008ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.008ms
2025-09-09T14:23:41.5579336Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'>, to_beat: 0.009ms 
2025-09-09T14:23:41.5580092Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> interpolated, breakeven constant: 0.02
2025-09-09T14:23:41.5580728Z best_cls=<class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>
2025-09-09T14:23:41.5580988Z 
2025-09-09T14:23:41.5581083Z PASSED
2025-09-09T14:23:41.5581448Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_25_cuda (m, k, n):  (16, 128, 128)
2025-09-09T14:23:41.5581877Z PASSED
2025-09-09T14:23:41.5582224Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_26_cuda (m, k, n):  (64, 128, 128)
2025-09-09T14:23:41.5582674Z activation_shapes: torch.Size([64, 128]), times_seen: 1
2025-09-09T14:23:41.5583036Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128])
2025-09-09T14:23:41.5583365Z Autotune Choices Stats:
2025-09-09T14:23:41.5583677Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.0071680000983178616}
2025-09-09T14:23:41.5584027Z AUTOTUNE addmm(64x128, 64x128, 128x128)
2025-09-09T14:23:41.5584249Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:23:41.5584488Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:23:41.5584743Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:23:41.5584926Z   addmm 0.0092 ms 77.8% 
2025-09-09T14:23:41.5585284Z SingleProcess AUTOTUNE benchmarking takes 0.0848 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:41.5585961Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:41.5586586Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:23:41.5587303Z >>time: 0.008ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.007ms
2025-09-09T14:23:41.5587876Z best_cls=<class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>
2025-09-09T14:23:41.5588135Z 
2025-09-09T14:23:41.5588233Z PASSED
2025-09-09T14:23:41.5588593Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_27_cuda (m, k, n):  (16, 128, 256)
2025-09-09T14:23:41.5589069Z activation_shapes: torch.Size([16, 128]), times_seen: 1
2025-09-09T14:23:41.5589442Z weight_shape: torch.Size([256, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([256])
2025-09-09T14:23:41.5589774Z Autotune Choices Stats:
2025-09-09T14:23:41.5590095Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.006144000217318535}
2025-09-09T14:23:41.5590446Z AUTOTUNE addmm(16x256, 16x128, 128x256)
2025-09-09T14:23:41.5590654Z strides: [0, 1], [128, 1], [1, 128]
2025-09-09T14:23:41.5590891Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:23:41.5591143Z   bias_addmm 0.0061 ms 100.0% 
2025-09-09T14:23:41.5591330Z   addmm 0.0102 ms 60.0% 
2025-09-09T14:23:41.5591675Z SingleProcess AUTOTUNE benchmarking takes 0.0848 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:41.5592239Z >>time: 0.007ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:41.5592854Z >>time: 0.010ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.007ms 
2025-09-09T14:23:41.5594093Z >>time: 0.005ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.007ms 
2025-09-09T14:23:41.5595028Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 128]), torch.Size([256, 128]), torch.Size([256]), torch.bfloat16) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:23:41.5595856Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:23:41.5596178Z 
2025-09-09T14:23:41.5596266Z PASSED
2025-09-09T14:23:41.5596622Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_28_cuda (m, k, n):  (16, 256, 128)
2025-09-09T14:23:41.5597078Z activation_shapes: torch.Size([16, 256]), times_seen: 1
2025-09-09T14:23:41.5597457Z weight_shape: torch.Size([128, 256]), dtype: torch.bfloat16, bias_shape: torch.Size([128])
2025-09-09T14:23:41.5597782Z Autotune Choices Stats:
2025-09-09T14:23:41.5598094Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.0071680000983178616}
2025-09-09T14:23:41.5598449Z AUTOTUNE addmm(16x128, 16x256, 256x128)
2025-09-09T14:23:41.5598656Z strides: [0, 1], [256, 1], [1, 256]
2025-09-09T14:23:41.5598893Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:23:41.5599148Z   bias_addmm 0.0072 ms 100.0% 
2025-09-09T14:23:41.5599327Z   addmm 0.0102 ms 70.0% 
2025-09-09T14:23:41.5599675Z SingleProcess AUTOTUNE benchmarking takes 0.0852 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:41.5600234Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:41.5600851Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.009ms 
2025-09-09T14:23:41.5601552Z >>time: 0.004ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>, to_beat: 0.009ms 
2025-09-09T14:23:41.5602465Z warning: failed to autoquant AQInt8DynamicallyQuantizedLinearWeight for shape: (torch.Size([16, 256]), torch.Size([128, 256]), torch.Size([128]), torch.bfloat16) due to self.size(0) needs to be greater than 16, but got 16
2025-09-09T14:23:41.5603452Z best_cls=<class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight2'>
2025-09-09T14:23:41.5603776Z 
2025-09-09T14:23:41.5603869Z PASSED
2025-09-09T14:23:54.2489146Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_29_cuda (m, k, n):  (64, 256, 128)
2025-09-09T14:23:54.2489710Z activation_shapes: torch.Size([64, 256]), times_seen: 1
2025-09-09T14:23:54.2490102Z weight_shape: torch.Size([128, 256]), dtype: torch.bfloat16, bias_shape: torch.Size([128])
2025-09-09T14:23:54.2490441Z Autotune Choices Stats:
2025-09-09T14:23:54.2490773Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "bias_addmm", "best_time": 0.008191999979317188}
2025-09-09T14:23:54.2491137Z AUTOTUNE addmm(64x128, 64x256, 256x128)
2025-09-09T14:23:54.2491343Z strides: [0, 1], [256, 1], [1, 256]
2025-09-09T14:23:54.2491623Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16
2025-09-09T14:23:54.2491905Z   bias_addmm 0.0082 ms 100.0% 
2025-09-09T14:23:54.2492110Z   addmm 0.0112 ms 73.1% 
2025-09-09T14:23:54.2492472Z SingleProcess AUTOTUNE benchmarking takes 0.0850 seconds and 0.0001 seconds precompiling for 2 choices
2025-09-09T14:23:54.2493049Z >>time: 0.009ms for <class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>, to_beat: infms 
2025-09-09T14:23:54.2493670Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8WeightOnlyQuantizedLinearWeight'>, to_beat: 0.009ms 
2025-09-09T14:23:54.2494399Z >>time: 0.008ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> matmul, to_beat: 0.009ms
2025-09-09T14:23:54.2495125Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'>, to_beat: 0.015ms 
2025-09-09T14:23:54.2495891Z >>time: 0.011ms for <class 'torchao.quantization.autoquant.AQInt8DynamicallyQuantizedLinearWeight'> interpolated, breakeven constant: 0.33
2025-09-09T14:23:54.2496800Z best_cls=<class 'torchao.quantization.autoquant.AQDefaultLinearWeight'>
2025-09-09T14:23:54.2497083Z 
2025-09-09T14:23:54.2497371Z PASSED
2025-09-09T14:23:54.2497715Z test/integration/test_integration.py::TestAOTI::test_aoti_00 SKIPPED
2025-09-09T14:23:54.2498199Z test/integration/test_integration.py::TestAOTI::test_aoti_01 SKIPPED
2025-09-09T14:23:54.2498661Z test/integration/test_integration.py::TestAOTI::test_aoti_02 SKIPPED
2025-09-09T14:23:54.2499126Z test/integration/test_integration.py::TestAOTI::test_aoti_03 SKIPPED
2025-09-09T14:23:54.2499586Z test/integration/test_integration.py::TestAOTI::test_aoti_04 SKIPPED
2025-09-09T14:23:54.2500047Z test/integration/test_integration.py::TestAOTI::test_aoti_05 SKIPPED
2025-09-09T14:23:54.2500510Z test/integration/test_integration.py::TestAOTI::test_aoti_06 SKIPPED
2025-09-09T14:23:54.2500969Z test/integration/test_integration.py::TestAOTI::test_aoti_07 SKIPPED
2025-09-09T14:23:54.2501445Z test/integration/test_integration.py::TestAOTI::test_aoti_08 SKIPPED
2025-09-09T14:23:54.2501915Z test/integration/test_integration.py::TestAOTI::test_aoti_09 SKIPPED
2025-09-09T14:23:54.2502379Z test/integration/test_integration.py::TestAOTI::test_aoti_10 SKIPPED
2025-09-09T14:23:54.2502854Z test/integration/test_integration.py::TestAOTI::test_aoti_11 SKIPPED
2025-09-09T14:23:54.2503323Z test/integration/test_integration.py::TestAOTI::test_aoti_12 SKIPPED
2025-09-09T14:23:54.2503785Z test/integration/test_integration.py::TestAOTI::test_aoti_13 SKIPPED
2025-09-09T14:23:54.2504242Z test/integration/test_integration.py::TestAOTI::test_aoti_14 SKIPPED
2025-09-09T14:23:54.2504704Z test/integration/test_integration.py::TestAOTI::test_aoti_15 SKIPPED
2025-09-09T14:23:54.2505167Z test/integration/test_integration.py::TestAOTI::test_aoti_16 SKIPPED
2025-09-09T14:23:54.2505636Z test/integration/test_integration.py::TestAOTI::test_aoti_17 SKIPPED
2025-09-09T14:23:54.2506288Z test/integration/test_integration.py::TestExport::test_export_00 PASSED
2025-09-09T14:23:54.2506774Z test/integration/test_integration.py::TestExport::test_export_01 PASSED
2025-09-09T14:23:54.2507262Z test/integration/test_integration.py::TestExport::test_export_02 PASSED
2025-09-09T14:23:54.2507744Z test/integration/test_integration.py::TestExport::test_export_03 PASSED
2025-09-09T14:23:54.2508223Z test/integration/test_integration.py::TestExport::test_export_04 PASSED
2025-09-09T14:23:54.2508698Z test/integration/test_integration.py::TestExport::test_export_05 PASSED
2025-09-09T14:23:54.2509179Z test/integration/test_integration.py::TestExport::test_export_06 PASSED
2025-09-09T14:23:54.2509656Z test/integration/test_integration.py::TestExport::test_export_07 PASSED
2025-09-09T14:23:54.2510136Z test/integration/test_integration.py::TestExport::test_export_08 PASSED
2025-09-09T14:23:54.2510621Z test/integration/test_integration.py::TestExport::test_export_09 PASSED
2025-09-09T14:23:54.2511106Z test/integration/test_integration.py::TestExport::test_export_10 PASSED
2025-09-09T14:23:54.2511587Z test/integration/test_integration.py::TestExport::test_export_11 PASSED
2025-09-09T14:23:54.2512065Z test/integration/test_integration.py::TestExport::test_export_12 PASSED
2025-09-09T14:23:54.2512544Z test/integration/test_integration.py::TestExport::test_export_13 PASSED
2025-09-09T14:23:54.2513027Z test/integration/test_integration.py::TestExport::test_export_14 PASSED
2025-09-09T14:23:54.2513502Z test/integration/test_integration.py::TestExport::test_export_15 PASSED
2025-09-09T14:23:54.2513985Z test/integration/test_integration.py::TestExport::test_export_16 PASSED
2025-09-09T14:23:54.2514463Z test/integration/test_integration.py::TestExport::test_export_17 PASSED
2025-09-09T14:23:54.2515026Z test/integration/test_integration.py::TestExport::test_export_18 PASSED
2025-09-09T14:23:54.2515529Z test/integration/test_integration.py::TestExport::test_export_19 PASSED
2025-09-09T14:23:54.2516018Z test/integration/test_integration.py::TestExport::test_export_20 PASSED
2025-09-09T14:23:54.2516521Z test/integration/test_integration.py::TestExport::test_export_21 PASSED
2025-09-09T14:23:54.2517004Z test/integration/test_integration.py::TestExport::test_export_22 PASSED
2025-09-09T14:23:54.2517488Z test/integration/test_integration.py::TestExport::test_export_23 PASSED
2025-09-09T14:23:54.2517940Z test/integration/test_integration.py::TestExport::test_export_float8 ExportedProgram:
2025-09-09T14:23:54.2518302Z     class GraphModule(torch.nn.Module):
2025-09-09T14:23:54.2518592Z         def forward(self, p_linear_weight: "f32[16, 32]", x: "f32[2, 32]"):
2025-09-09T14:23:54.2518888Z             # No stacktrace found for following nodes
2025-09-09T14:23:54.2519394Z             access_subclass_inner_tensor_default_2: "f8e4m3fn[16, 32]" = torch.ops.export.access_subclass_inner_tensor.default(p_linear_weight, 'qdata')
2025-09-09T14:23:54.2520157Z             access_subclass_inner_tensor_default_3: "f32[1, 1]" = torch.ops.export.access_subclass_inner_tensor.default(p_linear_weight, 'scale');  p_linear_weight = None
2025-09-09T14:23:54.2520655Z             
2025-09-09T14:23:54.2521164Z              # File: /opt/conda/envs/venv/lib/python3.9/site-packages/torch/nn/modules/linear.py:134 in forward, code: return F.linear(input, self.weight, self.bias)
2025-09-09T14:23:54.2521834Z             choose_scale_float8: "f32[1, 1]" = torch.ops.torchao.choose_scale_float8.default(x, [2, 32])
2025-09-09T14:23:54.2522612Z             _assert_tensor_metadata_default = torch.ops.aten._assert_tensor_metadata.default(x, dtype = torch.float32, device = device(type='cuda', index=0), layout = torch.strided);  _assert_tensor_metadata_default = None
2025-09-09T14:23:54.2523535Z             to: "f32[2, 32]" = torch.ops.aten.to.dtype(x, torch.float32);  x = None
2025-09-09T14:23:54.2523906Z             div: "f32[2, 32]" = torch.ops.aten.div.Tensor(to, choose_scale_float8);  to = None
2025-09-09T14:23:54.2524303Z             clamp: "f32[2, 32]" = torch.ops.aten.clamp.default(div, -448.0, 448.0);  div = None
2025-09-09T14:23:54.2524587Z             
2025-09-09T14:23:54.2525072Z              # File: /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/quantization/quant_primitives.py:229 in forward, code: return x.to(float8_dtype)
2025-09-09T14:23:54.2526056Z             _assert_tensor_metadata_default_1 = torch.ops.aten._assert_tensor_metadata.default(clamp, dtype = torch.float32, device = device(type='cuda', index=0), layout = torch.strided);  _assert_tensor_metadata_default_1 = None
2025-09-09T14:23:54.2526861Z             to_1: "f8e4m3fn[2, 32]" = torch.ops.aten.to.dtype(clamp, torch.float8_e4m3fn);  clamp = None
2025-09-09T14:23:54.2527171Z             
2025-09-09T14:23:54.2527657Z              # File: /opt/conda/envs/venv/lib/python3.9/site-packages/torch/nn/modules/linear.py:134 in forward, code: return F.linear(input, self.weight, self.bias)
2025-09-09T14:23:54.2528307Z             reshape: "f8e4m3fn[2, 32]" = torch.ops.aten.reshape.default(to_1, [-1, 32]);  to_1 = None
2025-09-09T14:23:54.2528809Z             reshape_1: "f32[1, 1]" = torch.ops.aten.reshape.default(choose_scale_float8, [1, 1]);  choose_scale_float8 = None
2025-09-09T14:23:54.2529461Z             numpy_t: "f8e4m3fn[32, 16]" = torch.ops.aten.numpy_T.default(access_subclass_inner_tensor_default_2);  access_subclass_inner_tensor_default_2 = None
2025-09-09T14:23:54.2530424Z             _scaled_mm: "f32[2, 16]" = torch.ops.aten._scaled_mm.default(reshape, numpy_t, reshape_1, access_subclass_inner_tensor_default_3, None, None, torch.float32, True);  reshape = numpy_t = reshape_1 = access_subclass_inner_tensor_default_3 = None
2025-09-09T14:23:54.2531321Z             reshape_2: "f32[2, 16]" = torch.ops.aten.reshape.default(_scaled_mm, [2, 16]);  _scaled_mm = None
2025-09-09T14:23:54.2531672Z             return (reshape_2,)
2025-09-09T14:23:54.2531854Z             
2025-09-09T14:23:54.2531996Z Graph signature: 
2025-09-09T14:23:54.2532159Z     # inputs
2025-09-09T14:23:54.2532348Z     p_linear_weight: PARAMETER target='linear.weight'
2025-09-09T14:23:54.2532590Z     x: USER_INPUT
2025-09-09T14:23:54.2532728Z     
2025-09-09T14:23:54.2532875Z     # outputs
2025-09-09T14:23:54.2533022Z     reshape_2: USER_OUTPUT
2025-09-09T14:23:54.2533193Z     
2025-09-09T14:23:54.2533335Z Range constraints: {}
2025-09-09T14:23:54.2533439Z 
2025-09-09T14:23:54.2533543Z PASSED
2025-09-09T14:23:54.2533922Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_00 SKIPPED
2025-09-09T14:23:54.2534481Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_01 SKIPPED
2025-09-09T14:23:54.2535037Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_02 SKIPPED
2025-09-09T14:23:54.2535592Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_03 SKIPPED
2025-09-09T14:24:03.9845926Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_04 SKIPPED
2025-09-09T14:24:03.9846581Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_05 PASSED
2025-09-09T14:24:03.9847155Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_06 SKIPPED
2025-09-09T14:24:03.9847753Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_07 SKIPPED
2025-09-09T14:24:03.9848338Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_08 SKIPPED
2025-09-09T14:24:03.9848903Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_09 SKIPPED
2025-09-09T14:24:03.9849454Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_10 SKIPPED
2025-09-09T14:24:03.9850031Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_11 PASSED
2025-09-09T14:24:03.9850939Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_12 SKIPPED
2025-09-09T14:24:03.9851492Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_13 SKIPPED
2025-09-09T14:24:03.9852045Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_14 SKIPPED
2025-09-09T14:24:03.9852616Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_15 SKIPPED
2025-09-09T14:24:03.9853171Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_16 SKIPPED
2025-09-09T14:24:03.9853731Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_17 PASSED
2025-09-09T14:24:03.9854391Z test/integration/test_integration.py::TestBenchmarkModel::test_benchmark_model_cpu cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:24:03.9855022Z    File "/pytorch/ao/test/integration/test_integration.py", line 2042, in forward
2025-09-09T14:24:03.9855363Z     x = self.linear1(x)
2025-09-09T14:24:03.9855476Z 
2025-09-09T14:24:03.9855590Z cudagraph partition due to non gpu ops. Found from : 
2025-09-09T14:24:03.9855960Z    File "/pytorch/ao/test/integration/test_integration.py", line 2043, in forward
2025-09-09T14:24:03.9856277Z     x = self.linear2(x)
2025-09-09T14:24:03.9856380Z 
2025-09-09T14:24:03.9856477Z PASSED
2025-09-09T14:24:03.9856900Z test/integration/test_integration.py::TestBenchmarkModel::test_benchmark_model_cuda PASSED
2025-09-09T14:24:03.9857642Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_deprecated_hf_models_model_info0 SKIPPED
2025-09-09T14:24:03.9858819Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_deprecated_single_linear_model_name_torchao-testing/single-linear-Float8DynamicActivationFloat8WeightConfig-v1-0_13_dev SKIPPED
2025-09-09T14:24:03.9860391Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_single_linear_model_name_torchao-testing/single-linear-Float8DynamicActivationFloat8WeightConfig-v2-0_13_dev SKIPPED
2025-09-09T14:24:03.9861728Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_single_linear_model_name_torchao-testing/single-linear-Int4WeightOnlyConfig-preshuffled-v2-0_13_dev SKIPPED
2025-09-09T14:24:03.9862964Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_single_linear_model_name_torchao-testing/single-linear-Int4WeightOnlyConfig-v2-0_13_dev SKIPPED
2025-09-09T14:24:03.9863540Z 
2025-09-09T14:24:03.9863821Z =============================== warnings summary ===============================
2025-09-09T14:24:03.9864441Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_3_cuda
2025-09-09T14:24:03.9867010Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torch/backends/cuda/__init__.py:132: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.)
2025-09-09T14:24:03.9869316Z     return torch._C._get_cublas_allow_tf32()
2025-09-09T14:24:03.9869486Z 
2025-09-09T14:24:03.9869754Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_3_cuda
2025-09-09T14:24:03.9870832Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torch/_inductor/compile_fx.py:309: UserWarning: TensorFloat32 tensor cores for float32 matrix multiplication available but not enabled. Consider setting `torch.set_float32_matmul_precision('high')` for better performance.
2025-09-09T14:24:03.9871878Z     warnings.warn(
2025-09-09T14:24:03.9871980Z 
2025-09-09T14:24:03.9872223Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_on_dummy_distilbert
2025-09-09T14:24:03.9872901Z   /pytorch/ao/test/integration/test_integration.py:1440: DeprecationWarning: torch.ao.quantization is deprecated and will be removed in 2.10. 
2025-09-09T14:24:03.9873425Z   For migrations of users: 
2025-09-09T14:24:03.9873966Z   1. Eager mode quantization (torch.ao.quantization.quantize, torch.ao.quantization.quantize_dynamic), please migrate to use torchao eager mode quantize_ API instead 
2025-09-09T14:24:03.9875006Z   2. FX graph mode quantization (torch.ao.quantization.quantize_fx.prepare_fx,torch.ao.quantization.quantize_fx.convert_fx, please migrate to use torchao pt2e quantization API instead (prepare_pt2e, convert_pt2e) 
2025-09-09T14:24:03.9875918Z   3. pt2e quantization has been migrated to torchao (https://github.com/pytorch/ao/tree/main/torchao/quantization/pt2e) 
2025-09-09T14:24:03.9876424Z   see https://github.com/pytorch/ao/issues/2259 for more details
2025-09-09T14:24:03.9876756Z     model_copy2 = torch.ao.quantization.quantize_dynamic(
2025-09-09T14:24:03.9876948Z 
2025-09-09T14:24:03.9877170Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_on_dummy_distilbert
2025-09-09T14:24:03.9877960Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torch/ao/quantization/quantize.py:566: DeprecationWarning: torch.ao.quantization is deprecated and will be removed in 2.10. 
2025-09-09T14:24:03.9878590Z   For migrations of users: 
2025-09-09T14:24:03.9879129Z   1. Eager mode quantization (torch.ao.quantization.quantize, torch.ao.quantization.quantize_dynamic), please migrate to use torchao eager mode quantize_ API instead 
2025-09-09T14:24:03.9880303Z   2. FX graph mode quantization (torch.ao.quantization.quantize_fx.prepare_fx,torch.ao.quantization.quantize_fx.convert_fx, please migrate to use torchao pt2e quantization API instead (prepare_pt2e, convert_pt2e) 
2025-09-09T14:24:03.9881226Z   3. pt2e quantization has been migrated to torchao (https://github.com/pytorch/ao/tree/main/torchao/quantization/pt2e) 
2025-09-09T14:24:03.9881717Z   see https://github.com/pytorch/ao/issues/2259 for more details
2025-09-09T14:24:03.9882009Z     convert(model, mapping, inplace=True)
2025-09-09T14:24:03.9882165Z 
2025-09-09T14:24:03.9882329Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2025-09-09T14:24:03.9882957Z =========== 153 passed, 211 skipped, 4 warnings in 391.64s (0:06:31) ===========
2025-09-09T14:24:03.9883549Z + pytest test/dtypes/test_affine_quantized_float.py --verbose -s
2025-09-09T14:24:03.9883941Z ============================= test session starts ==============================
2025-09-09T14:24:03.9884346Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3
2025-09-09T14:24:03.9884712Z cachedir: .pytest_cache
2025-09-09T14:24:03.9885150Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,)
2025-09-09T14:24:03.9885614Z rootdir: /pytorch/ao
2025-09-09T14:24:03.9885791Z plugins: hypothesis-6.138.15
2025-09-09T14:24:03.9886015Z collecting ... 
2025-09-09T14:24:03.9886312Z collecting 0 items                                                             
2025-09-09T14:24:03.9886705Z collected 119 items                                                            
2025-09-09T14:24:03.9886910Z 
2025-09-09T14:24:03.9887412Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e4m3fn_bfloat16 PASSED
2025-09-09T14:24:03.9888771Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e4m3fn_float32 PASSED
2025-09-09T14:24:03.9890014Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e5m2_bfloat16 PASSED
2025-09-09T14:24:03.9891262Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e5m2_float32 PASSED
2025-09-09T14:24:03.9892377Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size0 PASSED
2025-09-09T14:24:03.9893377Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size1 PASSED
2025-09-09T14:24:03.9894359Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size2 PASSED
2025-09-09T14:24:03.9895352Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size3 PASSED
2025-09-09T14:24:03.9896337Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size0 PASSED
2025-09-09T14:24:51.0989964Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size1 PASSED
2025-09-09T14:24:51.0991321Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size2 PASSED
2025-09-09T14:24:51.0992555Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size3 PASSED
2025-09-09T14:24:51.0993817Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size0 PASSED
2025-09-09T14:24:51.0995456Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size1 PASSED
2025-09-09T14:24:51.0996737Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size2 PASSED
2025-09-09T14:24:51.0997966Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size3 PASSED
2025-09-09T14:24:51.0999192Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size0 PASSED
2025-09-09T14:24:51.1000170Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size1 PASSED
2025-09-09T14:24:51.1001146Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size2 PASSED
2025-09-09T14:24:51.1002118Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size3 PASSED
2025-09-09T14:24:51.1003167Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_scale_broadcasting PASSED
2025-09-09T14:24:51.1004134Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity0_float8_config_version_1 SKIPPED
2025-09-09T14:24:51.1005133Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity0_float8_config_version_2 SKIPPED
2025-09-09T14:24:51.1006130Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity1_float8_config_version_1 SKIPPED
2025-09-09T14:24:51.1007338Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity1_float8_config_version_2 SKIPPED
2025-09-09T14:24:51.1008274Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_basic_granularity0 PASSED
2025-09-09T14:24:51.1009153Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_basic_granularity1 PASSED
2025-09-09T14:24:51.1010007Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_edge_cases PASSED
2025-09-09T14:24:51.1010914Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_functional_correctness_granularity0 SKIPPED
2025-09-09T14:24:51.1011903Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_functional_correctness_granularity1 SKIPPED
2025-09-09T14:24:51.1012805Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_per_row SKIPPED
2025-09-09T14:24:51.1013635Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_per_tensor PASSED
2025-09-09T14:24:51.1014630Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity0_sizes0 PASSED
2025-09-09T14:24:51.1015700Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity0_sizes1 PASSED
2025-09-09T14:24:51.1016767Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity1_sizes0 PASSED
2025-09-09T14:24:51.1017920Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity1_sizes1 PASSED
2025-09-09T14:24:51.1019190Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity0_sizes0 W0909 14:24:05.819047 11837 site-packages/torch/_inductor/utils.py:1554] [0/0] Not enough SMs to use max_autotune_gemm mode
2025-09-09T14:24:51.1020079Z frames [('total', 1), ('ok', 1)]
2025-09-09T14:24:51.1020272Z inline_call []
2025-09-09T14:24:51.1020452Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:24:51.1021276Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 66), ('triton_bundler_save_kernel', 48), ('async_compile_cache_miss', 6), ('pattern_matcher_count', 2), ('pattern_matcher_nodes', 2), ('extern_calls', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:24:51.1022182Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:24:51.1022507Z graph_break []
2025-09-09T14:24:51.1022799Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)]
2025-09-09T14:24:51.1023165Z PASSED
2025-09-09T14:24:51.1023753Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:24:51.1024376Z inline_call []
2025-09-09T14:24:51.1024553Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:24:51.1024909Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:24:51.1025896Z inductor [('triton_bundler_save_kernel', 64), ('benchmarking.InductorBenchmarker.benchmark_gpu', 62), ('async_compile_cache_miss', 12), ('pattern_matcher_count', 6), ('pattern_matcher_nodes', 6), ('async_compile_cache_hit', 6), ('extern_calls', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:24:51.1027500Z graph_break []
2025-09-09T14:24:51.1027777Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)]
2025-09-09T14:24:51.1028137Z PASSED
2025-09-09T14:24:51.1028728Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity1_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:24:51.1029354Z inline_call []
2025-09-09T14:24:51.1029531Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:24:51.1029876Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:24:51.1030861Z inductor [('triton_bundler_save_kernel', 32), ('benchmarking.InductorBenchmarker.benchmark_gpu', 20), ('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4), ('async_compile_cache_miss', 4), ('extern_calls', 2), ('async_compile_cache_hit', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:24:51.1031722Z graph_break []
2025-09-09T14:24:51.1031994Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)]
2025-09-09T14:24:51.1032343Z PASSED
2025-09-09T14:24:51.1032920Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity1_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:24:51.1033547Z inline_call []
2025-09-09T14:24:51.1033727Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:24:51.1034065Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:24:51.1035123Z inductor [('triton_bundler_save_kernel', 32), ('benchmarking.InductorBenchmarker.benchmark_gpu', 17), ('pattern_matcher_count', 6), ('pattern_matcher_nodes', 6), ('async_compile_cache_miss', 4), ('extern_calls', 2), ('async_compile_cache_hit', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:24:51.1035979Z graph_break []
2025-09-09T14:24:51.1036256Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)]
2025-09-09T14:24:51.1036605Z PASSED
2025-09-09T14:24:51.1037248Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity0_sizes0 PASSED
2025-09-09T14:24:51.1038330Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity0_sizes1 PASSED
2025-09-09T14:24:51.1039413Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity1_sizes0 PASSED
2025-09-09T14:25:42.9409147Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity1_sizes1 PASSED
2025-09-09T14:25:42.9410547Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9411360Z inline_call []
2025-09-09T14:25:42.9411601Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9412080Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9413074Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 19), ('triton_bundler_save_kernel', 16), ('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4), ('async_compile_cache_miss', 4), ('extern_calls', 2), ('async_compile_cache_hit', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:25:42.9413946Z graph_break []
2025-09-09T14:25:42.9414263Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)]
2025-09-09T14:25:42.9414930Z PASSED
2025-09-09T14:25:42.9415538Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9416166Z inline_call []
2025-09-09T14:25:42.9416349Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9416716Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9417700Z inductor [('triton_bundler_save_kernel', 32), ('benchmarking.InductorBenchmarker.benchmark_gpu', 20), ('pattern_matcher_count', 6), ('pattern_matcher_nodes', 6), ('async_compile_cache_miss', 4), ('extern_calls', 2), ('async_compile_cache_hit', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:25:42.9418560Z graph_break []
2025-09-09T14:25:42.9418858Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)]
2025-09-09T14:25:42.9419220Z PASSED
2025-09-09T14:25:42.9419875Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity1_sizes0 PASSED
2025-09-09T14:25:42.9420939Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity1_sizes1 PASSED
2025-09-09T14:25:42.9422052Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity0_sizes0 PASSED
2025-09-09T14:25:42.9423156Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity0_sizes1 PASSED
2025-09-09T14:25:42.9424409Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity1_sizes0 PASSED
2025-09-09T14:25:42.9425536Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity1_sizes1 PASSED
2025-09-09T14:25:42.9426588Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9427231Z inline_call []
2025-09-09T14:25:42.9427415Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9427768Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9428179Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:42.9428432Z graph_break []
2025-09-09T14:25:42.9428646Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)]
2025-09-09T14:25:42.9428940Z PASSED
2025-09-09T14:25:42.9429545Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9430188Z inline_call []
2025-09-09T14:25:42.9430369Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9430715Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9431294Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:42.9431844Z graph_break []
2025-09-09T14:25:42.9432162Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)]
2025-09-09T14:25:42.9432550Z PASSED
2025-09-09T14:25:42.9433233Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_True_granularity1_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9434013Z inline_call []
2025-09-09T14:25:42.9434199Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9434700Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9435178Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:42.9435431Z graph_break []
2025-09-09T14:25:42.9435634Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)]
2025-09-09T14:25:42.9435930Z PASSED
2025-09-09T14:25:42.9436536Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_True_granularity1_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9437181Z inline_call []
2025-09-09T14:25:42.9437374Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9437724Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9438307Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:42.9438771Z graph_break []
2025-09-09T14:25:42.9438979Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)]
2025-09-09T14:25:42.9439257Z PASSED
2025-09-09T14:25:42.9439901Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity0_sizes0 PASSED
2025-09-09T14:25:42.9441142Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity0_sizes1 PASSED
2025-09-09T14:25:42.9442412Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity1_sizes0 PASSED
2025-09-09T14:25:42.9443527Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity1_sizes1 PASSED
2025-09-09T14:25:42.9444544Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9445166Z inline_call []
2025-09-09T14:25:42.9445346Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9445699Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9446678Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 66), ('triton_bundler_save_kernel', 48), ('async_compile_cache_miss', 12), ('async_compile_cache_hit', 6), ('pattern_matcher_count', 2), ('pattern_matcher_nodes', 2), ('extern_calls', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:25:42.9447549Z graph_break []
2025-09-09T14:25:42.9447824Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)]
2025-09-09T14:25:42.9448182Z PASSED
2025-09-09T14:25:42.9448765Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:42.9449387Z inline_call []
2025-09-09T14:25:42.9449577Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:42.9449946Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:42.9450931Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 79), ('triton_bundler_save_kernel', 64), ('async_compile_cache_miss', 12), ('pattern_matcher_count', 6), ('pattern_matcher_nodes', 6), ('async_compile_cache_hit', 6), ('extern_calls', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:25:42.9451863Z graph_break []
2025-09-09T14:25:42.9452164Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)]
2025-09-09T14:25:42.9452516Z PASSED
2025-09-09T14:25:42.9453170Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity1_sizes0 PASSED
2025-09-09T14:25:42.9454245Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity1_sizes1 PASSED
2025-09-09T14:25:42.9455299Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity0_sizes0 PASSED
2025-09-09T14:25:42.9456379Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity0_sizes1 PASSED
2025-09-09T14:25:54.8901027Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity1_sizes0 PASSED
2025-09-09T14:25:54.8902467Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity1_sizes1 PASSED
2025-09-09T14:25:54.8903735Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:54.8904516Z inline_call []
2025-09-09T14:25:54.8904754Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:54.8905205Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:54.8907315Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 25), ('triton_bundler_save_kernel', 16), ('pattern_matcher_count', 4), ('pattern_matcher_nodes', 4), ('async_compile_cache_miss', 4), ('extern_calls', 2), ('async_compile_cache_hit', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:25:54.8908461Z graph_break []
2025-09-09T14:25:54.8908847Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)]
2025-09-09T14:25:54.8909311Z PASSED
2025-09-09T14:25:54.8910049Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:54.8910849Z inline_call []
2025-09-09T14:25:54.8911074Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:54.8911519Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:54.8912549Z inductor [('triton_bundler_save_kernel', 32), ('benchmarking.InductorBenchmarker.benchmark_gpu', 18), ('pattern_matcher_count', 6), ('pattern_matcher_nodes', 6), ('async_compile_cache_miss', 4), ('extern_calls', 2), ('async_compile_cache_hit', 2), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:25:54.8913399Z graph_break []
2025-09-09T14:25:54.8913685Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)]
2025-09-09T14:25:54.8914034Z PASSED
2025-09-09T14:25:54.8914680Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity1_sizes0 PASSED
2025-09-09T14:25:54.8915745Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity1_sizes1 PASSED
2025-09-09T14:25:54.8916824Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_sizes0 PASSED
2025-09-09T14:25:54.8918087Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_sizes1 PASSED
2025-09-09T14:25:54.8919176Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity1_sizes0 PASSED
2025-09-09T14:25:54.8920302Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity1_sizes1 PASSED
2025-09-09T14:25:54.8921338Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:54.8921987Z inline_call []
2025-09-09T14:25:54.8922163Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:54.8922540Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:54.8923032Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:54.8923294Z graph_break []
2025-09-09T14:25:54.8923510Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)]
2025-09-09T14:25:54.8923799Z PASSED
2025-09-09T14:25:54.8924415Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:54.8925045Z inline_call []
2025-09-09T14:25:54.8925228Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:54.8925577Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:54.8926264Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:54.8926725Z graph_break []
2025-09-09T14:25:54.8926938Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)]
2025-09-09T14:25:54.8927221Z PASSED
2025-09-09T14:25:54.8927815Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_True_granularity1_sizes0 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:54.8928452Z inline_call []
2025-09-09T14:25:54.8928631Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:54.8928997Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:54.8929370Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:54.8929621Z graph_break []
2025-09-09T14:25:54.8929829Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)]
2025-09-09T14:25:54.8930100Z PASSED
2025-09-09T14:25:54.8930700Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_True_granularity1_sizes1 frames [('total', 1), ('ok', 1)]
2025-09-09T14:25:54.8931333Z inline_call []
2025-09-09T14:25:54.8931530Z stats [('calls_captured', 2), ('unique_graphs', 1)]
2025-09-09T14:25:54.8931869Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:25:54.8932449Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)]
2025-09-09T14:25:54.8932905Z graph_break []
2025-09-09T14:25:54.8933103Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)]
2025-09-09T14:25:54.8933375Z PASSED
2025-09-09T14:25:54.8933786Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_weight_dimension_warning ToyLinearModel(
2025-09-09T14:25:54.8934445Z   (linear1): Linear(in_features=10, out_features=25, weight=Tensor: <class 'torch.nn.parameter.Parameter'>)
2025-09-09T14:25:54.8935085Z   (linear2): Linear(in_features=25, out_features=10, weight=Tensor: <class 'torch.nn.parameter.Parameter'>)
2025-09-09T14:25:54.8935449Z )
2025-09-09T14:25:54.8935606Z PASSED
2025-09-09T14:25:54.8936098Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_invalid_granularity PASSED
2025-09-09T14:25:54.8936868Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mismatched_granularity PASSED
2025-09-09T14:25:54.8937958Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape0_bias_False PASSED
2025-09-09T14:25:54.8939065Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape0_bias_True PASSED
2025-09-09T14:25:54.8940147Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape1_bias_False PASSED
2025-09-09T14:25:54.8941423Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape1_bias_True PASSED
2025-09-09T14:25:54.8942511Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape2_bias_False PASSED
2025-09-09T14:25:54.8943577Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape2_bias_True PASSED
2025-09-09T14:25:54.8944636Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape3_bias_False PASSED
2025-09-09T14:25:54.8945810Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape3_bias_True PASSED
2025-09-09T14:25:54.8946900Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape4_bias_False PASSED
2025-09-09T14:25:54.8947963Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape4_bias_True PASSED
2025-09-09T14:25:54.8949026Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape0_bias_False PASSED
2025-09-09T14:25:54.8950098Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape0_bias_True PASSED
2025-09-09T14:25:54.8951171Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape1_bias_False PASSED
2025-09-09T14:26:00.4359333Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape1_bias_True PASSED
2025-09-09T14:26:00.4360779Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape2_bias_False PASSED
2025-09-09T14:26:00.4362150Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape2_bias_True PASSED
2025-09-09T14:26:00.4363832Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape3_bias_False PASSED
2025-09-09T14:26:00.4365905Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape3_bias_True PASSED
2025-09-09T14:26:00.4367216Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape4_bias_False PASSED
2025-09-09T14:26:00.4368513Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape4_bias_True PASSED
2025-09-09T14:26:00.4369620Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape0_bias_False PASSED
2025-09-09T14:26:00.4370683Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape0_bias_True PASSED
2025-09-09T14:26:00.4371757Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape1_bias_False PASSED
2025-09-09T14:26:00.4373047Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape1_bias_True PASSED
2025-09-09T14:26:00.4374125Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape2_bias_False PASSED
2025-09-09T14:26:00.4375308Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape2_bias_True PASSED
2025-09-09T14:26:00.4376710Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape3_bias_False PASSED
2025-09-09T14:26:00.4377826Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape3_bias_True PASSED
2025-09-09T14:26:00.4378898Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape4_bias_False PASSED
2025-09-09T14:26:00.4379966Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape4_bias_True PASSED
2025-09-09T14:26:00.4380915Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_per_row_with_float32 PASSED
2025-09-09T14:26:00.4381864Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_preprocess_scale_3d_reshape PASSED
2025-09-09T14:26:00.4382681Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_dynamic PASSED
2025-09-09T14:26:00.4383584Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_static PASSED
2025-09-09T14:26:00.4384507Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_weight-only PASSED
2025-09-09T14:26:00.4385317Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_unsupported_granularity PASSED
2025-09-09T14:26:00.4385704Z 
2025-09-09T14:26:00.4385885Z =============================== warnings summary ===============================
2025-09-09T14:26:00.4386429Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_basic_granularity0
2025-09-09T14:26:00.4388540Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torch/__init__.py:1605: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.)
2025-09-09T14:26:00.4390595Z     _C._set_float32_matmul_precision(precision)
2025-09-09T14:26:00.4390768Z 
2025-09-09T14:26:00.4390887Z test/dtypes/test_affine_quantized_float.py: 47 warnings
2025-09-09T14:26:00.4391947Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/quantization/quant_api.py:1765: UserWarning: version 1 of Float8DynamicActivationFloat8WeightConfig is deprecated and will no longer be supported in a future release, please use version 2, see https://github.com/pytorch/ao/issues/2649 for more details
2025-09-09T14:26:00.4392938Z     warnings.warn(
2025-09-09T14:26:00.4393047Z 
2025-09-09T14:26:00.4393173Z test/dtypes/test_affine_quantized_float.py: 158 warnings
2025-09-09T14:26:00.4394477Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/dtypes/floatx/float8_layout.py:113: UserWarning: Models quantized with version 1 of Float8DynamicActivationFloat8WeightConfig is deprecated and will no longer be supported in a future release, please upgrade torchao and quantize again, or download a newer torchao checkpoint, see https://github.com/pytorch/ao/issues/2649 for more details
2025-09-09T14:26:00.4395698Z     warnings.warn(
2025-09-09T14:26:00.4395794Z 
2025-09-09T14:26:00.4395906Z test/dtypes/test_affine_quantized_float.py: 17 warnings
2025-09-09T14:26:00.4397070Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/quantization/quant_api.py:1585: UserWarning: version 1 of Float8WeightOnlyConfig is deprecated and will no longer be supported in a future release, please use version 2, see https://github.com/pytorch/ao/issues/2649 for more details
2025-09-09T14:26:00.4398118Z     warnings.warn(
2025-09-09T14:26:00.4398219Z 
2025-09-09T14:26:00.4398388Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2025-09-09T14:26:00.4399080Z =========== 112 passed, 7 skipped, 223 warnings in 114.20s (0:01:54) ===========
2025-09-09T14:26:00.4399489Z + ./test/float8/test_everything_single_gpu.sh
2025-09-09T14:26:00.4399927Z ============================= test session starts ==============================
2025-09-09T14:26:00.4400345Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3
2025-09-09T14:26:00.4400713Z cachedir: .pytest_cache
2025-09-09T14:26:00.4401156Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,)
2025-09-09T14:26:00.4401618Z rootdir: /pytorch/ao
2025-09-09T14:26:00.4401803Z plugins: hypothesis-6.138.15
2025-09-09T14:26:00.4402039Z collecting ... 
2025-09-09T14:26:00.4402356Z collecting 29 items                                                            
2025-09-09T14:26:00.4402814Z collected 157 items                                                            
2025-09-09T14:26:00.4403026Z 
2025-09-09T14:26:00.4403304Z test/float8/test_base.py::TestFloat8TrainingTensor::test_preserves_dtype PASSED
2025-09-09T14:26:00.4403873Z test/float8/test_base.py::TestFloat8TrainingTensor::test_differentiable_casts PASSED
2025-09-09T14:26:00.4404404Z test/float8/test_base.py::TestFloat8TrainingTensor::test_split_cat PASSED
2025-09-09T14:26:00.4404909Z test/float8/test_base.py::TestFloat8TrainingTensor::test_index_put PASSED
2025-09-09T14:26:00.4405388Z test/float8/test_base.py::TestFloat8TrainingTensor::test_copy_ PASSED
2025-09-09T14:26:00.4405998Z test/float8/test_base.py::TestFloat8TrainingTensor::test_transpose PASSED
2025-09-09T14:26:00.4406845Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape0] PASSED
2025-09-09T14:26:00.4407525Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape1] PASSED
2025-09-09T14:26:00.4408202Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape2] PASSED
2025-09-09T14:26:00.4408977Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape0] PASSED
2025-09-09T14:26:00.4409770Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape1] PASSED
2025-09-09T14:26:00.4410446Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape2] PASSED
2025-09-09T14:26:00.4411107Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape0] PASSED
2025-09-09T14:26:00.4411770Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape1] PASSED
2025-09-09T14:26:01.0795009Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape2] PASSED
2025-09-09T14:26:01.0795944Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape0] PASSED
2025-09-09T14:26:01.0796808Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape1] PASSED
2025-09-09T14:26:01.0797535Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape2] PASSED
2025-09-09T14:26:01.0798144Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_reshape PASSED
2025-09-09T14:26:01.0798966Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape0] SKIPPED
2025-09-09T14:26:01.0800372Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape1] SKIPPED
2025-09-09T14:26:01.0801440Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape2] SKIPPED
2025-09-09T14:26:01.0802478Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape0] SKIPPED
2025-09-09T14:26:01.0803644Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape1] SKIPPED
2025-09-09T14:26:01.0804697Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape2] SKIPPED
2025-09-09T14:26:01.0805716Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape0] SKIPPED
2025-09-09T14:26:01.0806747Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape1] SKIPPED
2025-09-09T14:26:01.0807766Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape2] SKIPPED
2025-09-09T14:26:01.0808514Z test/float8/test_base.py::TestFloat8TrainingTensor::test_fp8_dtype PASSED
2025-09-09T14:26:01.0809454Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.0810734Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.0812000Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.0813486Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.0814754Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.0816015Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.0817279Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.0818552Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.0819808Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.0821078Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.0822341Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.0823680Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.0824962Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.0826257Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.0827516Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.0828770Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.0830035Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.0831287Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.0832545Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.0833796Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.0835037Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.0836380Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.0837634Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.0838879Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[False-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.0840133Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.0841382Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.0842629Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.0843972Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.0845226Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.0856180Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.0857633Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.0858929Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.2377575Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.2379212Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.2380770Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.2382328Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-False-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.2383924Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.2385480Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.2386988Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.2388234Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.2389672Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.2390926Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.2392165Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-True] PASSED
2025-09-09T14:26:01.2393397Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape0-False] PASSED
2025-09-09T14:26:01.2394642Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-True] PASSED
2025-09-09T14:26:01.2395886Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape1-False] PASSED
2025-09-09T14:26:01.2397123Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-True] PASSED
2025-09-09T14:26:01.2398362Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_config_params[True-True-linear_dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-x_shape2-False] PASSED
2025-09-09T14:26:01.2399428Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2400518Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2401479Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2402420Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2403468Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2404404Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2405374Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2406330Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2407272Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2408213Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2409143Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2410074Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2411004Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2412047Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2412976Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2413908Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2414822Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2415758Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2416703Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2417655Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2418581Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2419522Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2420445Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2421374Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2422371Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2423317Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2424252Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2425176Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2426094Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2427060Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2427989Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape0-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2428929Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:01.2429857Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape1-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:01.2430801Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:08.1839491Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape2-Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:26:08.1840810Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:26:08.1842464Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype0-True] PASSED
2025-09-09T14:26:08.1843566Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype0-False] PASSED
2025-09-09T14:26:08.1844437Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype1-True] PASSED
2025-09-09T14:26:08.1845287Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype1-False] PASSED
2025-09-09T14:26:08.1846165Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype2-True] PASSED
2025-09-09T14:26:08.1847028Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype2-False] PASSED
2025-09-09T14:26:08.1847885Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype0-True] PASSED
2025-09-09T14:26:08.1848721Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype0-False] PASSED
2025-09-09T14:26:08.1849552Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype1-True] PASSED
2025-09-09T14:26:08.1850373Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype1-False] PASSED
2025-09-09T14:26:08.1851196Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype2-True] PASSED
2025-09-09T14:26:08.1852210Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype2-False] PASSED
2025-09-09T14:26:08.1853121Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype0-True] PASSED
2025-09-09T14:26:08.1854032Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype0-False] PASSED
2025-09-09T14:26:08.1854929Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype1-True] PASSED
2025-09-09T14:26:08.1855827Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype1-False] PASSED
2025-09-09T14:26:08.1856718Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype2-True] PASSED
2025-09-09T14:26:08.1857600Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype2-False] PASSED
2025-09-09T14:26:08.1858246Z test/float8/test_base.py::TestFloat8Linear::test_repr PASSED
2025-09-09T14:26:08.1858711Z test/float8/test_base.py::TestFloat8Linear::test_inference_mode PASSED
2025-09-09T14:26:08.1859173Z test/float8/test_base.py::TestFloat8Linear::test_quantize PASSED
2025-09-09T14:26:08.1859726Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype0] PASSED
2025-09-09T14:26:08.1860316Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype1] PASSED
2025-09-09T14:26:08.1860904Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype2] PASSED
2025-09-09T14:26:08.1861492Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[False-base_dtype0] PASSED
2025-09-09T14:26:08.1862087Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[False-base_dtype1] PASSED
2025-09-09T14:26:08.1862815Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[False-base_dtype2] PASSED
2025-09-09T14:26:08.1863360Z test/float8/test_base.py::TestScaledMM::test_different_configs_error PASSED
2025-09-09T14:26:08.1863896Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[True-base_dtype0] PASSED
2025-09-09T14:26:08.1864434Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[True-base_dtype1] PASSED
2025-09-09T14:26:08.1864970Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[True-base_dtype2] PASSED
2025-09-09T14:26:08.1865515Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype0] PASSED
2025-09-09T14:26:08.1866053Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype1] PASSED
2025-09-09T14:26:08.1866594Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype2] PASSED
2025-09-09T14:26:08.1867154Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype0] PASSED
2025-09-09T14:26:08.1867705Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype1] PASSED
2025-09-09T14:26:08.1868449Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype2] PASSED
2025-09-09T14:26:08.1869019Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype3] PASSED
2025-09-09T14:26:08.1869574Z test/float8/test_base.py::TestFloat8LinearUtils::test_fp8_tensor_statistics PASSED
2025-09-09T14:26:08.1870144Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_linears_with_filters PASSED
2025-09-09T14:26:08.1870696Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_root_linear PASSED
2025-09-09T14:26:08.1871298Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_root_linear_with_children_raises PASSED
2025-09-09T14:26:08.1872044Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_submodule_linears PASSED
2025-09-09T14:26:08.1872672Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_submodule_linears_with_skip PASSED
2025-09-09T14:26:08.1872993Z 
2025-09-09T14:26:08.1873183Z =============================== warnings summary ===============================
2025-09-09T14:26:08.1873481Z test/float8/test_base.py: 72 warnings
2025-09-09T14:26:08.1874390Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/float8/float8_linear.py:261: DeprecationWarning: torch.get_autocast_gpu_dtype() is deprecated. Please use torch.get_autocast_dtype('cuda') instead. (Triggered internally at /pytorch/torch/csrc/autograd/init.cpp:856.)
2025-09-09T14:26:08.1875401Z     autocast_dtype = torch.get_autocast_gpu_dtype()
2025-09-09T14:26:08.1875591Z 
2025-09-09T14:26:08.1875724Z test/float8/test_base.py::TestFloat8Linear::test_quantize
2025-09-09T14:26:08.1877620Z   /opt/conda/envs/venv/lib/python3.9/site-packages/torch/__init__.py:1605: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.)
2025-09-09T14:26:08.1879448Z     _C._set_float32_matmul_precision(precision)
2025-09-09T14:26:08.1879613Z 
2025-09-09T14:26:08.1879779Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
2025-09-09T14:26:08.1880359Z ================= 112 passed, 45 skipped, 73 warnings in 4.00s =================
2025-09-09T14:26:08.1880839Z ============================= test session starts ==============================
2025-09-09T14:26:08.1881384Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3
2025-09-09T14:26:08.1881753Z cachedir: .pytest_cache
2025-09-09T14:26:08.1882192Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,)
2025-09-09T14:26:08.1882727Z rootdir: /pytorch/ao
2025-09-09T14:26:08.1882910Z plugins: hypothesis-6.138.15
2025-09-09T14:26:08.1883159Z collecting ... 
2025-09-09T14:26:08.1883472Z collecting 0 items                                                             
2025-09-09T14:26:08.1883854Z collected 21 items                                                             
2025-09-09T14:26:08.1884057Z 
2025-09-09T14:26:08.1884560Z test/float8/test_compile.py::test_eager_only[dtype0-False-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED
2025-09-09T14:26:08.1885520Z test/float8/test_compile.py::test_eager_only[dtype0-True-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED
2025-09-09T14:26:08.1886480Z test/float8/test_compile.py::test_eager_only[dtype1-False-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED
2025-09-09T14:26:08.1887429Z test/float8/test_compile.py::test_eager_only[dtype1-True-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED
2025-09-09T14:26:08.1888363Z test/float8/test_compile.py::test_aot_eager[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] PASSED
2025-09-09T14:26:08.1889298Z test/float8/test_compile.py::test_aot_eager[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True-True] PASSED
2025-09-09T14:26:08.1890233Z test/float8/test_compile.py::test_aot_eager[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] PASSED
2025-09-09T14:28:35.5704961Z test/float8/test_compile.py::test_aot_eager[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True-True] PASSED
2025-09-09T14:28:35.5706691Z test/float8/test_compile.py::test_inductor_from_config_params[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] W0909 14:26:09.101830 17188 site-packages/torch/_inductor/utils.py:1554] [0/0] Not enough SMs to use max_autotune_gemm mode
2025-09-09T14:28:35.5707722Z PASSED
2025-09-09T14:28:35.5708391Z test/float8/test_compile.py::test_inductor_from_config_params[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] PASSED
2025-09-09T14:28:35.5709274Z test/float8/test_compile.py::test_inductor_from_recipe[Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:28:35.5709977Z test/float8/test_compile.py::test_inductor_from_recipe[Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:28:35.5710584Z test/float8/test_compile.py::TestGraphBreaks::test_float8_graph_input frames [('total', 1), ('ok', 1)]
2025-09-09T14:28:35.5711009Z stats [('calls_captured', 1), ('unique_graphs', 1)]
2025-09-09T14:28:35.5711377Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)]
2025-09-09T14:28:35.5712033Z inductor [('triton_bundler_save_kernel', 8), ('async_compile_cache_miss', 2), ('fxgraph_cache_miss', 1), ('async_compile_cache_hit', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:28:35.5712576Z graph_break []
2025-09-09T14:28:35.5712761Z PASSED
2025-09-09T14:28:35.5713112Z test/float8/test_compile.py::TestGraphBreaks::test_float8_graph_output frames [('total', 1), ('ok', 1)]
2025-09-09T14:28:35.5713505Z inline_call []
2025-09-09T14:28:35.5713694Z stats [('calls_captured', 13), ('unique_graphs', 1)]
2025-09-09T14:28:35.5714007Z aot_autograd [('total', 1), ('autograd_cache_bypass', 1), ('ok', 1)]
2025-09-09T14:28:35.5714621Z inductor [('triton_bundler_save_kernel', 8), ('async_compile_cache_miss', 2), ('fxgraph_cache_miss', 1), ('async_compile_cache_hit', 1), ('triton_bundler_save_static_autotuner', 1)]
2025-09-09T14:28:35.5715374Z graph_break []
2025-09-09T14:28:35.5715570Z PASSED
2025-09-09T14:28:35.5715987Z test/float8/test_compile.py::TestGraphBreaks::test_float8_with_graph_break_in_the_middle SKIPPED
2025-09-09T14:28:35.5716595Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype0] PASSED
2025-09-09T14:28:35.5717144Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype1] PASSED
2025-09-09T14:28:35.5717690Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype2] PASSED
2025-09-09T14:28:35.5718235Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype0] PASSED
2025-09-09T14:28:35.5718777Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype1] PASSED
2025-09-09T14:28:35.5719326Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype2] PASSED
2025-09-09T14:28:35.5719608Z 
2025-09-09T14:28:35.5719904Z ======================== 18 passed, 3 skipped in 13.98s ========================
2025-09-09T14:28:35.5720343Z ============================= test session starts ==============================
2025-09-09T14:28:35.5720763Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3
2025-09-09T14:28:35.5721111Z cachedir: .pytest_cache
2025-09-09T14:28:35.5721567Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,)
2025-09-09T14:28:35.5722038Z rootdir: /pytorch/ao
2025-09-09T14:28:35.5722218Z plugins: hypothesis-6.138.15
2025-09-09T14:28:35.5722450Z collecting ... 
2025-09-09T14:28:35.5722893Z collecting 3 items                                                             
2025-09-09T14:28:35.5723306Z collected 3 items                                                              
2025-09-09T14:28:35.5723510Z 
2025-09-09T14:28:35.5724286Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_config_params[ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC] PASSED
2025-09-09T14:28:35.5725449Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_recipe[Float8LinearRecipeName.ROWWISE] SKIPPED
2025-09-09T14:28:35.5726499Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_recipe[Float8LinearRecipeName.ROWWISE_WITH_GW_HP] SKIPPED
2025-09-09T14:28:35.5727024Z 
2025-09-09T14:28:35.5727289Z ========================= 1 passed, 2 skipped in 4.38s =========================
2025-09-09T14:28:35.5727718Z ============================= test session starts ==============================
2025-09-09T14:28:35.5728116Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3
2025-09-09T14:28:35.5728467Z cachedir: .pytest_cache
2025-09-09T14:28:35.5728920Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,)
2025-09-09T14:28:35.5729377Z rootdir: /pytorch/ao
2025-09-09T14:28:35.5729563Z plugins: hypothesis-6.138.15
2025-09-09T14:28:35.5729781Z collecting ... 
2025-09-09T14:28:35.5730083Z collecting 9 items                                                             
2025-09-09T14:28:35.5730467Z collected 9 items                                                              
2025-09-09T14:28:35.5730666Z 
2025-09-09T14:28:35.5731076Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims0-valid.layer-filter_fqns0-True] PASSED
2025-09-09T14:28:35.5731876Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims1-skip_layer.linear-filter_fqns1-False] PASSED
2025-09-09T14:28:35.5732676Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims2-valid.layer-filter_fqns2-False] PASSED
2025-09-09T14:28:35.5733541Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims3-valid.layer-filter_fqns3-True] PASSED
2025-09-09T14:28:35.5734334Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims4-skip_layer.linear-filter_fqns4-False] PASSED
2025-09-09T14:28:35.5735111Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims5-valid.layer-filter_fqns5-False] PASSED
2025-09-09T14:28:35.5735743Z test/float8/test_auto_filter.py::test_exact_boundary_dimensions_rowwise PASSED
2025-09-09T14:28:35.5736284Z test/float8/test_auto_filter.py::test_exact_boundary_dimensions_tensorwise PASSED
2025-09-09T14:28:35.5736777Z test/float8/test_auto_filter.py::test_partial_fqn_matching PASSED
2025-09-09T14:28:35.5737015Z 
2025-09-09T14:28:35.5737254Z ============================== 9 passed in 3.20s ===============================
2025-09-09T14:28:35.5737563Z all float8 single gpu tests successful
2025-09-09T14:28:35.5737894Z + python test/quantization/quantize_/workflows/float8/test_float8_tensor.py
2025-09-09T14:28:35.5738149Z 
2025-09-09T14:28:35.5738211Z Running tests...
2025-09-09T14:28:35.5738427Z ----------------------------------------------------------------------
2025-09-09T14:28:35.5740398Z s/opt/conda/envs/venv/lib/python3.9/site-packages/torch/__init__.py:1605: UserWarning: Please use the new API settings to control TF32 behavior, such as torch.backends.cudnn.conv.fp32_precision = 'tf32' or torch.backends.cuda.matmul.fp32_precision = 'ieee'. Old settings, e.g, torch.backends.cuda.matmul.allow_tf32 = True, torch.backends.cudnn.allow_tf32 = True, allowTF32CuDNN() and allowTF32CuBLAS() will be deprecated after Pytorch 2.9. Please see https://pytorch.org/docs/main/notes/cuda.html#tensorfloat-32-tf32-on-ampere-and-later-devices (Triggered internally at /pytorch/aten/src/ATen/Context.cpp:80.)
2025-09-09T14:28:35.5742247Z   _C._set_float32_matmul_precision(precision)
2025-09-09T14:28:35.5742703Z ......s............W0909 14:26:33.510657 17631 site-packages/torch/_inductor/utils.py:1554] [0/0] Not enough SMs to use max_autotune_gemm mode
2025-09-09T14:28:35.5743186Z ........................................................................................s..ss........
2025-09-09T14:28:35.5743496Z ----------------------------------------------------------------------
2025-09-09T14:28:35.5743741Z Ran 121 tests in 122.538s
2025-09-09T14:28:35.5743855Z 
2025-09-09T14:28:35.5743924Z OK (skipped=5)
2025-09-09T14:28:35.5744017Z 
2025-09-09T14:28:35.5744087Z Generating XML reports...
2025-09-09T14:28:35.5798341Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1
2025-09-09T14:28:35.5798721Z with:
2025-09-09T14:28:35.5798956Z   path: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:35.5799250Z   fail-on-empty: false
2025-09-09T14:28:35.5799432Z env:
2025-09-09T14:28:35.5799616Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:35.5799870Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:35.5800051Z   PR_NUMBER: 2963
2025-09-09T14:28:35.5801601Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:35.5803549Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:35.5803961Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:35.5804346Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:35.5804832Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:35.5805084Z ##[endgroup]
2025-09-09T14:28:35.6366017Z Prepare all required actions
2025-09-09T14:28:35.6402054Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-09-09T14:28:35.6402313Z with:
2025-09-09T14:28:35.6402509Z   directory: /home/ec2-user/actions-runner/_work/ao/ao/
2025-09-09T14:28:35.6402960Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-09-09T14:28:35.6403248Z env:
2025-09-09T14:28:35.6403435Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:35.6403685Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:35.6403871Z   PR_NUMBER: 2963
2025-09-09T14:28:35.6405416Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:35.6407089Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:35.6407501Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:35.6407912Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:35.6408237Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:35.6408490Z ##[endgroup]
2025-09-09T14:28:35.6436949Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-09-09T14:28:35.6437473Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-09-09T14:28:35.6448715Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:28:35.6448986Z env:
2025-09-09T14:28:35.6449174Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:35.6449444Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:35.6449631Z   PR_NUMBER: 2963
2025-09-09T14:28:35.6451175Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:35.6452828Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:35.6453255Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:35.6453646Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:35.6453969Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:35.6454302Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-09-09T14:28:35.6454649Z   DIRECTORY: /home/ec2-user/actions-runner/_work/ao/ao/
2025-09-09T14:28:35.6454898Z ##[endgroup]
2025-09-09T14:28:35.6665939Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally
2025-09-09T14:28:35.8837888Z latest: Pulling from tool/alpine
2025-09-09T14:28:35.8838286Z 540db60ca938: Pulling fs layer
2025-09-09T14:28:35.9755600Z 540db60ca938: Download complete
2025-09-09T14:28:36.0609076Z 540db60ca938: Pull complete
2025-09-09T14:28:36.0726236Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-09-09T14:28:36.0769849Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-09-09T14:28:37.3953774Z Prepare all required actions
2025-09-09T14:28:37.3976909Z ##[group]Run ./test-infra/.github/actions/chown-directory
2025-09-09T14:28:37.3977173Z with:
2025-09-09T14:28:37.3977381Z   directory: /home/ec2-user/actions-runner/_work/_temp
2025-09-09T14:28:37.3977728Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-09-09T14:28:37.3978032Z env:
2025-09-09T14:28:37.3978217Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:37.3978488Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:37.3978674Z   PR_NUMBER: 2963
2025-09-09T14:28:37.3980248Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:37.3981952Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:37.3982370Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:37.3982761Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:37.3983093Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:37.3983339Z ##[endgroup]
2025-09-09T14:28:37.4007294Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-09-09T14:28:37.4007793Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" .
2025-09-09T14:28:37.4032358Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:28:37.4032651Z env:
2025-09-09T14:28:37.4032847Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:37.4033137Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:37.4033318Z   PR_NUMBER: 2963
2025-09-09T14:28:37.4034893Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:37.4036531Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:37.4036968Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:37.4037365Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:37.4037699Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:37.4038069Z   ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine
2025-09-09T14:28:37.4038420Z   DIRECTORY: /home/ec2-user/actions-runner/_work/_temp
2025-09-09T14:28:37.4038669Z ##[endgroup]
2025-09-09T14:28:38.6248065Z ##[group]Run # Only do these steps if we actually want to upload an artifact
2025-09-09T14:28:38.6248550Z # Only do these steps if we actually want to upload an artifact
2025-09-09T14:28:38.6248887Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then
2025-09-09T14:28:38.6249280Z   # If the default execution path is followed then we should get a wheel in the dist/ folder
2025-09-09T14:28:38.6249718Z   # attempt to just grab whatever is in there and scoop it all up
2025-09-09T14:28:38.6250069Z   if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then
2025-09-09T14:28:38.6250371Z     mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/"
2025-09-09T14:28:38.6250605Z   fi
2025-09-09T14:28:38.6251002Z   if [[ -d "artifacts-to-be-uploaded" ]]; then
2025-09-09T14:28:38.6251318Z     mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/"
2025-09-09T14:28:38.6251596Z   fi
2025-09-09T14:28:38.6251769Z fi
2025-09-09T14:28:38.6251911Z 
2025-09-09T14:28:38.6252057Z upload_docs=0
2025-09-09T14:28:38.6252336Z # Check if there are files in the documentation folder to upload, note that
2025-09-09T14:28:38.6252661Z # empty folders do not count
2025-09-09T14:28:38.6252984Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then
2025-09-09T14:28:38.6253414Z   # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this
2025-09-09T14:28:38.6253753Z   # upload will probably not work correctly
2025-09-09T14:28:38.6254006Z   upload_docs=1
2025-09-09T14:28:38.6254181Z fi
2025-09-09T14:28:38.6254396Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}"
2025-09-09T14:28:38.6263458Z shell: /usr/bin/bash -e {0}
2025-09-09T14:28:38.6263655Z env:
2025-09-09T14:28:38.6263855Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:38.6264124Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:38.6264316Z   PR_NUMBER: 2963
2025-09-09T14:28:38.6265908Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:38.6267572Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:38.6267991Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:38.6268745Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:38.6269073Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:38.6269343Z   UPLOAD_ARTIFACT_NAME: 
2025-09-09T14:28:38.6269522Z ##[endgroup]
2025-09-09T14:28:38.6418833Z Prepare all required actions
2025-09-09T14:28:38.6451745Z ##[group]Run ./test-infra/.github/actions/teardown-linux
2025-09-09T14:28:38.6452018Z with:
2025-09-09T14:28:38.6452151Z env:
2025-09-09T14:28:38.6452336Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:38.6452594Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:38.6452778Z   PR_NUMBER: 2963
2025-09-09T14:28:38.6454306Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:38.6456004Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:38.6456416Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:38.6456799Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:38.6457124Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:38.6457370Z ##[endgroup]
2025-09-09T14:28:38.6481409Z ##[group]Run set -eou pipefail
2025-09-09T14:28:38.6481645Z set -eou pipefail
2025-09-09T14:28:38.6481838Z 
2025-09-09T14:28:38.6482098Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-09-09T14:28:38.6482427Z for _ in $(seq 1440); do
2025-09-09T14:28:38.6482939Z     # Break if no ssh session exists anymore
2025-09-09T14:28:38.6483183Z     if [ "$(who)" = "" ]; then
2025-09-09T14:28:38.6483380Z       break
2025-09-09T14:28:38.6483540Z     fi
2025-09-09T14:28:38.6483702Z     echo "."
2025-09-09T14:28:38.6483877Z     sleep 5
2025-09-09T14:28:38.6484054Z done
2025-09-09T14:28:38.6490734Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:28:38.6491014Z env:
2025-09-09T14:28:38.6491203Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:38.6491464Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:38.6491642Z   PR_NUMBER: 2963
2025-09-09T14:28:38.6493166Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:38.6494838Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:38.6495257Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:38.6495642Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:38.6495979Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:38.6496228Z ##[endgroup]
2025-09-09T14:28:38.6522855Z Holding runner for 2 hours until all ssh sessions have logged out
2025-09-09T14:28:38.6638549Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-09-09T14:28:38.6639052Z # ignore expansion of "docker ps -q" since it could be empty
2025-09-09T14:28:38.6639425Z # shellcheck disable=SC2046
2025-09-09T14:28:38.6639712Z docker stop $(docker ps -q) || true
2025-09-09T14:28:38.6640016Z # Prune all of the docker images
2025-09-09T14:28:38.6640243Z docker system prune -af
2025-09-09T14:28:38.6646866Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:28:38.6647310Z env:
2025-09-09T14:28:38.6647515Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:38.6647779Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:38.6647966Z   PR_NUMBER: 2963
2025-09-09T14:28:38.6649499Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:38.6651447Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:38.6651862Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:38.6652270Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:38.6652595Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:38.6652847Z ##[endgroup]
2025-09-09T14:28:39.8168122Z ad959153ad1b
2025-09-09T14:28:44.0253258Z Deleted Containers:
2025-09-09T14:28:44.0253682Z ad959153ad1bf2a6a92c24737285d6e9b7d596a4af181e42d0581e5756016dbe
2025-09-09T14:28:44.0253991Z 
2025-09-09T14:28:49.5494554Z Deleted Images:
2025-09-09T14:28:49.5495021Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest
2025-09-09T14:28:49.5495817Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine@sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748
2025-09-09T14:28:49.5497012Z deleted: sha256:6dbb9cc54074106d46d4ccb330f2a40a682d49dda5f4844962b7dce9fe44aaec
2025-09-09T14:28:49.5497591Z deleted: sha256:b2d5eeeaba3a22b9b8aa97261957974a6bd65274ebd43e1d81d0a7b8b752b116
2025-09-09T14:28:49.5498045Z untagged: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:49.5498631Z untagged: pytorch/almalinux-builder@sha256:be7f2a4c6f467933b154ac0b3ded894ad1bf06ce95f8f8d908dba108e68806f3
2025-09-09T14:28:49.5499495Z deleted: sha256:f2a1aa8f0f7d42816c0fe19d8838a50734adb5eb5de36e7f04cffdbf8de9d63c
2025-09-09T14:28:49.5499945Z deleted: sha256:c9e150f3add3ad75da73e417a090d5b5fc1b81cc89f87daa049075292636557c
2025-09-09T14:28:49.5500379Z deleted: sha256:a34ecd86569aa00449c46f68a40f7e90b90cc6a7e7d286262816aee915322a7b
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2025-09-09T14:28:49.5505128Z deleted: sha256:1beac1c8161bfd0d6ac4d67b32f665ccfb1b312f7af82b05d30ac79551275838
2025-09-09T14:28:49.5505565Z deleted: sha256:3391cdf48fdf7b9acbb1ac360ba1210ca8a8d727313aa25f38a977087f547d99
2025-09-09T14:28:49.5506002Z deleted: sha256:45cdedd84abf879e7a255cb152d814c309dbdade3f6a917f6bd54d76277d71d6
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2025-09-09T14:28:49.5508032Z deleted: sha256:0ebf188609b1c3acf20d30c01cd9d08f623b552df32b6bbd9c9ea72c713cbda7
2025-09-09T14:28:49.5508462Z deleted: sha256:46a0108e49ebe8b5c8a25a046961a83a96de1d1d2b3c83fdb1cce9c24033d3f3
2025-09-09T14:28:49.5508895Z deleted: sha256:add74a43e7c81f71d6040c8c766aa51293da349336c272faccf238aac3218502
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2025-09-09T14:28:49.5510551Z untagged: public.ecr.aws/docker/library/python:3.13
2025-09-09T14:28:49.5511050Z untagged: public.ecr.aws/docker/library/python@sha256:74503e0bff6cf811f029590a05e0218cc9ba3e099a4b7df0ab84a67df081e1bc
2025-09-09T14:28:49.5511604Z deleted: sha256:77f2b24be2b3987f6d59918787d226acb4e6612644bacb3dd37adc494e477d9e
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2025-09-09T14:28:49.5514933Z 
2025-09-09T14:28:49.5517774Z Total reclaimed space: 28.29GB
2025-09-09T14:28:49.5574781Z ##[group]Run set +e
2025-09-09T14:28:49.5575022Z set +e
2025-09-09T14:28:49.5575212Z if [[ "${NO_SUDO}" == "false" ]]; then
2025-09-09T14:28:49.5575512Z   sudo rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-09-09T14:28:49.5575777Z else
2025-09-09T14:28:49.5575980Z   rm -rf "${GITHUB_WORKSPACE:?}/${REPOSITORY:?}"
2025-09-09T14:28:49.5576224Z fi
2025-09-09T14:28:49.5576370Z set -e
2025-09-09T14:28:49.5584387Z shell: /usr/bin/bash -e {0}
2025-09-09T14:28:49.5584588Z env:
2025-09-09T14:28:49.5584779Z   DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.6
2025-09-09T14:28:49.5585041Z   REPOSITORY: pytorch/ao
2025-09-09T14:28:49.5585229Z   PR_NUMBER: 2963
2025-09-09T14:28:49.5586814Z   SCRIPT: conda create -n venv python=3.9 -y
conda activate venv
export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH
python -m pip install --upgrade pip
pip install uv
pip install --pre torch --index-url https://download.pytorch.org/whl/nightly/cu126
uv pip install -r dev-requirements.txt
pip install .
pytest test/integration --verbose -s
pytest test/dtypes/test_affine_quantized_float.py --verbose -s
./test/float8/test_everything_single_gpu.sh
python test/quantization/quantize_/workflows/float8/test_float8_tensor.py

2025-09-09T14:28:49.5588486Z   RUNNER_ARTIFACT_DIR: /home/ec2-user/actions-runner/_work/_temp/artifacts
2025-09-09T14:28:49.5588903Z   RUNNER_TEST_RESULTS_DIR: /home/ec2-user/actions-runner/_work/_temp/test-results
2025-09-09T14:28:49.5589294Z   RUNNER_DOCS_DIR: /home/ec2-user/actions-runner/_work/_temp/docs
2025-09-09T14:28:49.5589621Z   GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all
2025-09-09T14:28:49.5589867Z   NO_SUDO: false
2025-09-09T14:28:49.5590029Z ##[endgroup]
2025-09-09T14:28:50.0451295Z Post job cleanup.
2025-09-09T14:28:50.1378536Z Post job cleanup.
2025-09-09T14:28:50.2213159Z [command]/usr/bin/git version
2025-09-09T14:28:50.2268680Z git version 2.47.1
2025-09-09T14:28:50.2307330Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/bd2749f4-d127-458c-929c-a258f92d99bd' before making global git config changes
2025-09-09T14:28:50.2308202Z Adding repository directory to the temporary git global config as a safe directory
2025-09-09T14:28:50.2311373Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/ao/ao/test-infra
2025-09-09T14:28:50.2343380Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-09-09T14:28:50.2376706Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-09-09T14:28:50.2724833Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-09-09T14:28:50.2746610Z http.https://github.com/.extraheader
2025-09-09T14:28:50.2756324Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-09-09T14:28:50.2788256Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-09-09T14:28:50.3181880Z A job completed hook has been configured by the self-hosted runner administrator
2025-09-09T14:28:50.3211538Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-09-09T14:28:50.3218034Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-09T14:28:50.3218328Z ##[endgroup]
2025-09-09T14:28:50.3342121Z [!ALERT!] Swap in detected! [!ALERT!]
2025-09-09T14:29:05.9737325Z Cleaning up orphan processes