2025-09-09T14:02:53.9086933Z Current runner version: '2.328.0' 2025-09-09T14:02:53.9092284Z Runner name: 'i-0d73070610f53945f-1001' 2025-09-09T14:02:53.9093060Z Runner group name: 'default' 2025-09-09T14:02:53.9093817Z Machine name: '9e689e216b2a' 2025-09-09T14:02:53.9096561Z ##[group]GITHUB_TOKEN Permissions 2025-09-09T14:02:53.9098596Z Contents: read 2025-09-09T14:02:53.9099160Z Metadata: read 2025-09-09T14:02:53.9099648Z ##[endgroup] 2025-09-09T14:02:53.9101876Z Secret source: Actions 2025-09-09T14:02:53.9102545Z Prepare workflow directory 2025-09-09T14:02:53.9646401Z Prepare all required actions 2025-09-09T14:02:53.9681607Z Getting action download info 2025-09-09T14:02:54.3264104Z Download action repository 'actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683' (SHA:11bd71901bbe5b1630ceea73d27597364c9af683) 2025-09-09T14:02:54.6520095Z Download action repository 'pytorch/pytorch@main' (SHA:4dd73e659a8fd4872e5f49cfd72e420fa7c4e6c9) 2025-09-09T14:02:58.2968753Z Download action repository 'actions/download-artifact@d3f86a106a0bac45b974a628896c90dbdf5c8093' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-09T14:02:58.6790726Z Download action repository 'pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1' (SHA:a2c1430e2bddadbad9f49a6f9b879f062c6b19b1) 2025-09-09T14:02:58.9777496Z Download action repository 'actions/upload-artifact@ea165f8d65b6e75b540449e92b4886f43607fa02' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-09T14:02:59.4950576Z Getting action download info 2025-09-09T14:02:59.7023088Z Uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@refs/heads/main (e502b6d9079a2a411c68046e8a7694b851c5df33) 2025-09-09T14:02:59.7027160Z ##[group] Inputs 2025-09-09T14:02:59.7029089Z script: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:02:59.7031437Z timeout: 90 2025-09-09T14:02:59.7031635Z runner: linux.aws.h100 2025-09-09T14:02:59.7031844Z upload-artifact: 2025-09-09T14:02:59.7032460Z upload-artifact-to-s3: false 2025-09-09T14:02:59.7032685Z download-artifact: 2025-09-09T14:02:59.7032872Z repository: 2025-09-09T14:02:59.7033053Z fetch-depth: 1 2025-09-09T14:02:59.7033226Z submodules: recursive 2025-09-09T14:02:59.7033401Z ref: 2025-09-09T14:02:59.7033588Z test-infra-repository: pytorch/test-infra 2025-09-09T14:02:59.7033847Z test-infra-ref: 2025-09-09T14:02:59.7034038Z use-custom-docker-registry: true 2025-09-09T14:02:59.7034298Z docker-image: pytorch/almalinux-builder 2025-09-09T14:02:59.7034547Z docker-build-dir: .ci/docker 2025-09-09T14:02:59.7034757Z gpu-arch-type: cuda 2025-09-09T14:02:59.7035091Z gpu-arch-version: 12.4 2025-09-09T14:02:59.7035295Z job-name: linux-job 2025-09-09T14:02:59.7035470Z continue-on-error: false 2025-09-09T14:02:59.7035663Z binary-matrix: 2025-09-09T14:02:59.7035826Z run-with-docker: true 2025-09-09T14:02:59.7036020Z secrets-env: 2025-09-09T14:02:59.7036228Z no-sudo: false 2025-09-09T14:02:59.7036396Z ##[endgroup] 2025-09-09T14:02:59.7036808Z Complete job name: test (H100, linux.aws.h100, --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https... / linux-job 2025-09-09T14:02:59.7429875Z ##[group]Run set -euxo pipefail 2025-09-09T14:02:59.7430203Z set -euxo pipefail 2025-09-09T14:02:59.7430437Z if [[ "${NO_SUDO}" == "false" ]]; then 2025-09-09T14:02:59.7430715Z  echo "::group::Cleanup with-sudo debug output" 2025-09-09T14:02:59.7431003Z  sudo rm -rfv "${GITHUB_WORKSPACE}" 2025-09-09T14:02:59.7431223Z else 2025-09-09T14:02:59.7431810Z  echo "::group::Cleanup no-sudo debug output" 2025-09-09T14:02:59.7432195Z  rm -rfv "${GITHUB_WORKSPACE}" 2025-09-09T14:02:59.7432415Z fi 2025-09-09T14:02:59.7432564Z  2025-09-09T14:02:59.7432839Z mkdir -p "${GITHUB_WORKSPACE}" 2025-09-09T14:02:59.7433169Z echo "::endgroup::" 2025-09-09T14:02:59.7451192Z shell: /usr/bin/bash -e {0} 2025-09-09T14:02:59.7451819Z env: 2025-09-09T14:02:59.7452098Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:02:59.7452559Z REPOSITORY: pytorch/ao 2025-09-09T14:02:59.7452964Z PR_NUMBER: 2963 2025-09-09T14:02:59.7454918Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:02:59.7457101Z NO_SUDO: false 2025-09-09T14:02:59.7457324Z ##[endgroup] 2025-09-09T14:02:59.7558239Z + [[ false == \f\a\l\s\e ]] 2025-09-09T14:02:59.7571042Z ##[group]Cleanup with-sudo debug output 2025-09-09T14:02:59.7573928Z + echo '::group::Cleanup with-sudo debug output' 2025-09-09T14:02:59.7574413Z + sudo rm -rfv /home/alice/_work/ao/ao 2025-09-09T14:02:59.7611510Z removed directory '/home/alice/_work/ao/ao' 2025-09-09T14:02:59.7620685Z + mkdir -p /home/alice/_work/ao/ao 2025-09-09T14:02:59.7633356Z + echo ::endgroup:: 2025-09-09T14:02:59.7634201Z ##[endgroup] 2025-09-09T14:02:59.7793385Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-09-09T14:02:59.7793843Z with: 2025-09-09T14:02:59.7794150Z repository: pytorch/test-infra 2025-09-09T14:02:59.7794446Z path: test-infra 2025-09-09T14:02:59.7794803Z submodules: recursive 2025-09-09T14:02:59.7795516Z token: *** 2025-09-09T14:02:59.7795748Z ssh-strict: true 2025-09-09T14:02:59.7796117Z ssh-user: git 2025-09-09T14:02:59.7796368Z persist-credentials: true 2025-09-09T14:02:59.7796652Z clean: true 2025-09-09T14:02:59.7796970Z sparse-checkout-cone-mode: true 2025-09-09T14:02:59.7797476Z fetch-depth: 1 2025-09-09T14:02:59.7797710Z fetch-tags: false 2025-09-09T14:02:59.7798067Z show-progress: true 2025-09-09T14:02:59.7798348Z lfs: false 2025-09-09T14:02:59.7798582Z set-safe-directory: true 2025-09-09T14:02:59.7798944Z env: 2025-09-09T14:02:59.7799208Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:02:59.7799582Z REPOSITORY: pytorch/ao 2025-09-09T14:02:59.7799991Z PR_NUMBER: 2963 2025-09-09T14:02:59.7801901Z 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 torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:02:59.7803911Z ##[endgroup] 2025-09-09T14:02:59.8807425Z Syncing repository: pytorch/test-infra 2025-09-09T14:02:59.8807976Z ##[group]Getting Git version info 2025-09-09T14:02:59.8808285Z Working directory is '/home/alice/_work/ao/ao/test-infra' 2025-09-09T14:02:59.8808738Z [command]/usr/bin/git version 2025-09-09T14:02:59.8808979Z git version 2.50.1 2025-09-09T14:02:59.8830171Z ##[endgroup] 2025-09-09T14:02:59.8840949Z Temporarily overriding HOME='/home/alice/_work/_temp/85dbe405-9d3b-4403-a023-e1851e6a5653' before making global git config changes 2025-09-09T14:02:59.8841885Z Adding repository directory to the temporary git global config as a safe directory 2025-09-09T14:02:59.8845298Z [command]/usr/bin/git config --global --add safe.directory /home/alice/_work/ao/ao/test-infra 2025-09-09T14:02:59.8875927Z ##[group]Initializing the repository 2025-09-09T14:02:59.8879159Z [command]/usr/bin/git init /home/alice/_work/ao/ao/test-infra 2025-09-09T14:02:59.8925513Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-09T14:02:59.8926042Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-09T14:02:59.8926512Z hint: of your new repositories, which will suppress this warning, call: 2025-09-09T14:02:59.8926852Z hint: 2025-09-09T14:02:59.8927174Z hint: git config --global init.defaultBranch 2025-09-09T14:02:59.8927459Z hint: 2025-09-09T14:02:59.8927746Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-09T14:02:59.8928192Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-09T14:02:59.8928544Z hint: 2025-09-09T14:02:59.8928731Z hint: git branch -m 2025-09-09T14:02:59.8928944Z hint: 2025-09-09T14:02:59.8929243Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-09T14:02:59.8929741Z Initialized empty Git repository in /home/alice/_work/ao/ao/test-infra/.git/ 2025-09-09T14:02:59.8935470Z [command]/usr/bin/git remote add origin https://github.com/pytorch/test-infra 2025-09-09T14:02:59.8975986Z ##[endgroup] 2025-09-09T14:02:59.8976366Z ##[group]Disabling automatic garbage collection 2025-09-09T14:02:59.8979515Z [command]/usr/bin/git config --local gc.auto 0 2025-09-09T14:02:59.9009082Z ##[endgroup] 2025-09-09T14:02:59.9009425Z ##[group]Setting up auth 2025-09-09T14:02:59.9014717Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-09T14:02:59.9043304Z [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' || :" 2025-09-09T14:02:59.9293173Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-09T14:02:59.9322719Z [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' || :" 2025-09-09T14:02:59.9557721Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:02:59.9600018Z ##[endgroup] 2025-09-09T14:02:59.9600429Z ##[group]Determining the default branch 2025-09-09T14:02:59.9602755Z Retrieving the default branch name 2025-09-09T14:03:00.2057364Z Default branch 'main' 2025-09-09T14:03:00.2057956Z ##[endgroup] 2025-09-09T14:03:00.2058338Z ##[group]Fetching the repository 2025-09-09T14:03:00.2062921Z [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 2025-09-09T14:03:01.1748331Z From https://github.com/pytorch/test-infra 2025-09-09T14:03:01.1748794Z * [new branch] main -> origin/main 2025-09-09T14:03:01.1775888Z ##[endgroup] 2025-09-09T14:03:01.1776261Z ##[group]Determining the checkout info 2025-09-09T14:03:01.1777803Z ##[endgroup] 2025-09-09T14:03:01.1781874Z [command]/usr/bin/git sparse-checkout disable 2025-09-09T14:03:01.1837578Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-09T14:03:01.1868001Z ##[group]Checking out the ref 2025-09-09T14:03:01.1870575Z [command]/usr/bin/git checkout --progress --force -B main refs/remotes/origin/main 2025-09-09T14:03:01.3121636Z Switched to a new branch 'main' 2025-09-09T14:03:01.3123973Z branch 'main' set up to track 'origin/main'. 2025-09-09T14:03:01.3133387Z ##[endgroup] 2025-09-09T14:03:01.3133751Z ##[group]Setting up auth for fetching submodules 2025-09-09T14:03:01.3137784Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:03:01.3180818Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-09T14:03:01.3218476Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-09T14:03:01.3251485Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-09T14:03:01.3282928Z ##[endgroup] 2025-09-09T14:03:01.3283259Z ##[group]Fetching submodules 2025-09-09T14:03:01.3286281Z [command]/usr/bin/git submodule sync --recursive 2025-09-09T14:03:01.3542552Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-09-09T14:03:01.3792752Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-09T14:03:01.4031455Z ##[endgroup] 2025-09-09T14:03:01.4031825Z ##[group]Persisting credentials for submodules 2025-09-09T14:03:01.4034834Z [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' || :" 2025-09-09T14:03:01.4273890Z [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" 2025-09-09T14:03:01.4511446Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-09T14:03:01.4750846Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-09T14:03:01.4987761Z ##[endgroup] 2025-09-09T14:03:01.5024161Z [command]/usr/bin/git log -1 --format=%H 2025-09-09T14:03:01.5049965Z e502b6d9079a2a411c68046e8a7694b851c5df33 2025-09-09T14:03:01.5262981Z Prepare all required actions 2025-09-09T14:03:01.5263414Z Getting action download info 2025-09-09T14:03:01.6637991Z Download action repository 'pytorch/test-infra@main' (SHA:e502b6d9079a2a411c68046e8a7694b851c5df33) 2025-09-09T14:03:02.4016032Z Getting action download info 2025-09-09T14:03:02.5433687Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-09T14:03:02.8950968Z ##[group]Run ./test-infra/.github/actions/setup-linux 2025-09-09T14:03:02.8951244Z env: 2025-09-09T14:03:02.8951438Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:02.8951703Z REPOSITORY: pytorch/ao 2025-09-09T14:03:02.8951901Z PR_NUMBER: 2963 2025-09-09T14:03:02.8953812Z 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 torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:02.8955805Z ##[endgroup] 2025-09-09T14:03:02.9028503Z ##[group]Run set -euo pipefail 2025-09-09T14:03:02.9028755Z set -euo pipefail 2025-09-09T14:03:02.9028963Z function get_ec2_metadata() { 2025-09-09T14:03:02.9029236Z  # Pulled from instance metadata endpoint for EC2 2025-09-09T14:03:02.9029701Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-09T14:03:02.9030094Z  category=$1 2025-09-09T14:03:02.9030719Z  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}" 2025-09-09T14:03:02.9031533Z } 2025-09-09T14:03:02.9052510Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-09T14:03:02.9052825Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-09T14:03:02.9053268Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-09T14:03:02.9053633Z echo "system info $(uname -a)" 2025-09-09T14:03:02.9069650Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:02.9069917Z env: 2025-09-09T14:03:02.9070103Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:02.9070353Z REPOSITORY: pytorch/ao 2025-09-09T14:03:02.9070524Z PR_NUMBER: 2963 2025-09-09T14:03:02.9072381Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:02.9074154Z ##[endgroup] 2025-09-09T14:03:02.9242417Z ami-id: ami-0377e4dca5eea9592 2025-09-09T14:03:02.9380954Z instance-id: i-0d73070610f53945f 2025-09-09T14:03:02.9507658Z instance-type: p5.48xlarge 2025-09-09T14:03:02.9519051Z system info Linux 9e689e216b2a 6.8.0-1017-aws #18~22.04.1-Ubuntu SMP Thu Oct 3 19:57:42 UTC 2024 x86_64 x86_64 x86_64 GNU/Linux 2025-09-09T14:03:02.9545247Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-09T14:03:02.9546180Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-09T14:03:02.9559643Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:02.9559914Z env: 2025-09-09T14:03:02.9560104Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:02.9560378Z REPOSITORY: pytorch/ao 2025-09-09T14:03:02.9560570Z PR_NUMBER: 2963 2025-09-09T14:03:02.9562363Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:02.9564194Z ##[endgroup] 2025-09-09T14:03:02.9648305Z ##[group]Run AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-09-09T14:03:02.9648787Z AWS_ACCOUNT_ID=$(aws sts get-caller-identity|grep Account|cut -f4 -d\") 2025-09-09T14:03:02.9649162Z retry () { "$@" || (sleep 1 && "$@") || (sleep 2 && "$@") } 2025-09-09T14:03:02.9649609Z retry aws ecr get-login-password --region "$AWS_DEFAULT_REGION" | docker login --username AWS \ 2025-09-09T14:03:02.9650125Z  --password-stdin "$AWS_ACCOUNT_ID.dkr.ecr.$AWS_DEFAULT_REGION.amazonaws.com" 2025-09-09T14:03:02.9664492Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:02.9664761Z env: 2025-09-09T14:03:02.9665088Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:02.9665353Z REPOSITORY: pytorch/ao 2025-09-09T14:03:02.9665555Z PR_NUMBER: 2963 2025-09-09T14:03:02.9667374Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:02.9669378Z AWS_RETRY_MODE: standard 2025-09-09T14:03:02.9669570Z AWS_MAX_ATTEMPTS: 5 2025-09-09T14:03:02.9669750Z AWS_DEFAULT_REGION: us-east-1 2025-09-09T14:03:02.9669949Z ##[endgroup] 2025-09-09T14:03:04.4389518Z 2025-09-09T14:03:04.4390101Z WARNING! Your credentials are stored unencrypted in '/home/alice/.docker/config.json'. 2025-09-09T14:03:04.4390651Z Configure a credential helper to remove this warning. See 2025-09-09T14:03:04.4391107Z https://docs.docker.com/go/credential-store/ 2025-09-09T14:03:04.4391359Z 2025-09-09T14:03:04.4391443Z Login Succeeded 2025-09-09T14:03:04.4438901Z ##[group]Run env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-09-09T14:03:04.4439344Z env | grep '^GITHUB' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-09-09T14:03:04.4439689Z env | grep '^CI' >> "${RUNNER_TEMP}/github_env_${GITHUB_RUN_ID}" 2025-09-09T14:03:04.4453600Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:04.4453887Z env: 2025-09-09T14:03:04.4454084Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:04.4454346Z REPOSITORY: pytorch/ao 2025-09-09T14:03:04.4454525Z PR_NUMBER: 2963 2025-09-09T14:03:04.4456714Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:04.4458548Z ##[endgroup] 2025-09-09T14:03:04.4542089Z ##[group]Run RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-09-09T14:03:04.4542441Z RUNNER_ARTIFACT_DIR="${RUNNER_TEMP}/artifacts" 2025-09-09T14:03:04.4542722Z sudo rm -rf "${RUNNER_ARTIFACT_DIR}" 2025-09-09T14:03:04.4542975Z mkdir -p "${RUNNER_ARTIFACT_DIR}" 2025-09-09T14:03:04.4543314Z echo "RUNNER_ARTIFACT_DIR=${RUNNER_ARTIFACT_DIR}" >> "${GITHUB_ENV}" 2025-09-09T14:03:04.4543615Z  2025-09-09T14:03:04.4543836Z RUNNER_TEST_RESULTS_DIR="${RUNNER_TEMP}/test-results" 2025-09-09T14:03:04.4544149Z sudo rm -rf "${RUNNER_TEST_RESULTS_DIR}" 2025-09-09T14:03:04.4544432Z mkdir -p "${RUNNER_TEST_RESULTS_DIR}" 2025-09-09T14:03:04.4544784Z echo "RUNNER_TEST_RESULTS_DIR=${RUNNER_TEST_RESULTS_DIR}" >> "${GITHUB_ENV}" 2025-09-09T14:03:04.4545259Z  2025-09-09T14:03:04.4545434Z RUNNER_DOCS_DIR="${RUNNER_TEMP}/docs" 2025-09-09T14:03:04.4545676Z sudo rm -rf "${RUNNER_DOCS_DIR}" 2025-09-09T14:03:04.4545913Z mkdir -p "${RUNNER_DOCS_DIR}" 2025-09-09T14:03:04.4546198Z echo "RUNNER_DOCS_DIR=${RUNNER_DOCS_DIR}" >> "${GITHUB_ENV}" 2025-09-09T14:03:04.4559545Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:04.4559814Z env: 2025-09-09T14:03:04.4560006Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:04.4560261Z REPOSITORY: pytorch/ao 2025-09-09T14:03:04.4560441Z PR_NUMBER: 2963 2025-09-09T14:03:04.4562231Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:04.4564254Z ##[endgroup] 2025-09-09T14:03:04.4870626Z ##[group]Run if compgen -G "/dev/nvidia[0-9]" ; then 2025-09-09T14:03:04.4870932Z if compgen -G "/dev/nvidia[0-9]" ; then 2025-09-09T14:03:04.4871251Z  echo "Found NVIDIA GPU device in /dev/nvidiaX, exporting GPU_FLAG" 2025-09-09T14:03:04.4871668Z  echo "GPU_FLAG=--gpus all -e NVIDIA_DRIVER_CAPABILITIES=all" >> "${GITHUB_ENV}" 2025-09-09T14:03:04.4872010Z else 2025-09-09T14:03:04.4872370Z  echo "No NVIDIA GPU device found in /dev/nvidiaX, not exporting GPU_FLAG" 2025-09-09T14:03:04.4872687Z fi 2025-09-09T14:03:04.4885540Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:04.4885826Z env: 2025-09-09T14:03:04.4886018Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:04.4886286Z REPOSITORY: pytorch/ao 2025-09-09T14:03:04.4886483Z PR_NUMBER: 2963 2025-09-09T14:03:04.4888298Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:04.4890329Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:04.4890679Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:04.4890978Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:04.4891212Z ##[endgroup] 2025-09-09T14:03:04.4919037Z /dev/nvidia0 2025-09-09T14:03:04.4919301Z Found NVIDIA GPU device in /dev/nvidiaX, exporting GPU_FLAG 2025-09-09T14:03:04.4978929Z ##[group]Run ./test-infra/.github/actions/setup-ssh 2025-09-09T14:03:04.4979217Z with: 2025-09-09T14:03:04.4979796Z github-secret: *** 2025-09-09T14:03:04.4980314Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-09T14:03:04.4980870Z activate-with-label: false 2025-09-09T14:03:04.4981073Z label: with-ssh 2025-09-09T14:03:04.4981241Z remove-existing-keys: true 2025-09-09T14:03:04.4981440Z fail-silently: true 2025-09-09T14:03:04.4981599Z env: 2025-09-09T14:03:04.4981824Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:04.4982085Z REPOSITORY: pytorch/ao 2025-09-09T14:03:04.4982274Z PR_NUMBER: 2963 2025-09-09T14:03:04.4984080Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:04.4986292Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:04.4986624Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:04.4986928Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:04.4987435Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:03:04.4987687Z ##[endgroup] 2025-09-09T14:03:04.5954665Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-09T14:03:05.2554806Z Grabbing public ssh keys from https://github.com/andrewor14.keys 2025-09-09T14:03:05.4071901Z Public keys pulled and installed to /home/alice/.ssh/authorized_keys 2025-09-09T14:03:05.4109885Z Login using: ssh runner@ec2-52-15-226-142.us-east-2.compute.amazonaws.com 2025-09-09T14:03:05.4110341Z All testing is done inside the container, to start an interactive session run: 2025-09-09T14:03:05.4110745Z docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-09T14:03:05.4240705Z ##[group]Run actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 2025-09-09T14:03:05.4241053Z with: 2025-09-09T14:03:05.4241222Z repository: pytorch/ao 2025-09-09T14:03:05.4241419Z ref: refs/pull/2963/merge 2025-09-09T14:03:05.4241641Z path: pytorch/ao 2025-09-09T14:03:05.4241808Z fetch-depth: 1 2025-09-09T14:03:05.4241982Z submodules: recursive 2025-09-09T14:03:05.4242258Z token: *** 2025-09-09T14:03:05.4242429Z ssh-strict: true 2025-09-09T14:03:05.4242592Z ssh-user: git 2025-09-09T14:03:05.4242763Z persist-credentials: true 2025-09-09T14:03:05.4242957Z clean: true 2025-09-09T14:03:05.4243127Z sparse-checkout-cone-mode: true 2025-09-09T14:03:05.4243335Z fetch-tags: false 2025-09-09T14:03:05.4243503Z show-progress: true 2025-09-09T14:03:05.4243688Z lfs: false 2025-09-09T14:03:05.4243849Z set-safe-directory: true 2025-09-09T14:03:05.4244033Z env: 2025-09-09T14:03:05.4244226Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:05.4244524Z REPOSITORY: pytorch/ao 2025-09-09T14:03:05.4244710Z PR_NUMBER: 2963 2025-09-09T14:03:05.4246660Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:05.4248550Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:05.4248872Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:05.4249177Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:05.4249466Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:03:05.4249712Z ##[endgroup] 2025-09-09T14:03:05.5158504Z Syncing repository: pytorch/ao 2025-09-09T14:03:05.5166592Z ##[group]Getting Git version info 2025-09-09T14:03:05.5166972Z Working directory is '/home/alice/_work/ao/ao/pytorch/ao' 2025-09-09T14:03:05.5197758Z [command]/usr/bin/git version 2025-09-09T14:03:05.5234561Z git version 2.50.1 2025-09-09T14:03:05.5258420Z ##[endgroup] 2025-09-09T14:03:05.5276949Z Temporarily overriding HOME='/home/alice/_work/_temp/d4565124-671e-4e03-911f-f627259b796a' before making global git config changes 2025-09-09T14:03:05.5277629Z Adding repository directory to the temporary git global config as a safe directory 2025-09-09T14:03:05.5281358Z [command]/usr/bin/git config --global --add safe.directory /home/alice/_work/ao/ao/pytorch/ao 2025-09-09T14:03:05.5313403Z ##[group]Initializing the repository 2025-09-09T14:03:05.5317103Z [command]/usr/bin/git init /home/alice/_work/ao/ao/pytorch/ao 2025-09-09T14:03:05.5357389Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-09T14:03:05.5357870Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-09T14:03:05.5358344Z hint: of your new repositories, which will suppress this warning, call: 2025-09-09T14:03:05.5358996Z hint: 2025-09-09T14:03:05.5359232Z hint: git config --global init.defaultBranch 2025-09-09T14:03:05.5359527Z hint: 2025-09-09T14:03:05.5359797Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-09T14:03:05.5360279Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-09T14:03:05.5360650Z hint: 2025-09-09T14:03:05.5360821Z hint: git branch -m 2025-09-09T14:03:05.5361032Z hint: 2025-09-09T14:03:05.5361336Z hint: Disable this message with "git config set advice.defaultBranchName false" 2025-09-09T14:03:05.5361884Z Initialized empty Git repository in /home/alice/_work/ao/ao/pytorch/ao/.git/ 2025-09-09T14:03:05.5367809Z [command]/usr/bin/git remote add origin https://github.com/pytorch/ao 2025-09-09T14:03:05.5400710Z ##[endgroup] 2025-09-09T14:03:05.5401055Z ##[group]Disabling automatic garbage collection 2025-09-09T14:03:05.5403995Z [command]/usr/bin/git config --local gc.auto 0 2025-09-09T14:03:05.5437147Z ##[endgroup] 2025-09-09T14:03:05.5437442Z ##[group]Setting up auth 2025-09-09T14:03:05.5442429Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-09T14:03:05.5472304Z [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' || :" 2025-09-09T14:03:05.5719271Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-09T14:03:05.5748708Z [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' || :" 2025-09-09T14:03:05.5987995Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:03:05.6028540Z ##[endgroup] 2025-09-09T14:03:05.6028920Z ##[group]Fetching the repository 2025-09-09T14:03:05.6035440Z [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 2025-09-09T14:03:06.4939308Z From https://github.com/pytorch/ao 2025-09-09T14:03:06.4939652Z * [new ref] refs/pull/2963/merge -> pull/2963/merge 2025-09-09T14:03:06.4964791Z ##[endgroup] 2025-09-09T14:03:06.4965418Z ##[group]Determining the checkout info 2025-09-09T14:03:06.4967184Z ##[endgroup] 2025-09-09T14:03:06.4970865Z [command]/usr/bin/git sparse-checkout disable 2025-09-09T14:03:06.5022401Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-09T14:03:06.5050963Z ##[group]Checking out the ref 2025-09-09T14:03:06.5053186Z [command]/usr/bin/git checkout --progress --force refs/remotes/pull/2963/merge 2025-09-09T14:03:06.6127963Z Note: switching to 'refs/remotes/pull/2963/merge'. 2025-09-09T14:03:06.6128221Z 2025-09-09T14:03:06.6128582Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-09T14:03:06.6129458Z changes and commit them, and you can discard any commits you make in this 2025-09-09T14:03:06.6130199Z state without impacting any branches by switching back to a branch. 2025-09-09T14:03:06.6130631Z 2025-09-09T14:03:06.6130922Z If you want to create a new branch to retain commits you create, you may 2025-09-09T14:03:06.6131574Z do so (now or later) by using -c with the switch command. Example: 2025-09-09T14:03:06.6131967Z 2025-09-09T14:03:06.6132122Z git switch -c 2025-09-09T14:03:06.6132395Z 2025-09-09T14:03:06.6132550Z Or undo this operation with: 2025-09-09T14:03:06.6132787Z 2025-09-09T14:03:06.6132912Z git switch - 2025-09-09T14:03:06.6133110Z 2025-09-09T14:03:06.6133461Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-09T14:03:06.6133923Z 2025-09-09T14:03:06.6134450Z HEAD is now at 7c05f81 Merge c21284c127b039bc49cc7ffda0e692894ed3b094 into 8b72284fd363b5c096de93fb7ac9cc960a6a601e 2025-09-09T14:03:06.6141675Z ##[endgroup] 2025-09-09T14:03:06.6142009Z ##[group]Setting up auth for fetching submodules 2025-09-09T14:03:06.6145896Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-09T14:03:06.6191270Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-09T14:03:06.6223193Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-09T14:03:06.6254068Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-09T14:03:06.6282366Z ##[endgroup] 2025-09-09T14:03:06.6282700Z ##[group]Fetching submodules 2025-09-09T14:03:06.6285770Z [command]/usr/bin/git submodule sync --recursive 2025-09-09T14:03:06.6533915Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --depth=1 --recursive 2025-09-09T14:03:06.6781915Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass) registered for path 'third_party/cutlass' 2025-09-09T14:03:06.6810415Z Cloning into '/home/alice/_work/ao/ao/pytorch/ao/third_party/cutlass'... 2025-09-09T14:03:08.6779903Z From https://github.com/NVIDIA/cutlass 2025-09-09T14:03:08.6780653Z * branch e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 -> FETCH_HEAD 2025-09-09T14:03:09.2914180Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-09T14:03:09.2959429Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0 2025-09-09T14:03:09.3204684Z Entering 'third_party/cutlass' 2025-09-09T14:03:09.3264458Z ##[endgroup] 2025-09-09T14:03:09.3264833Z ##[group]Persisting credentials for submodules 2025-09-09T14:03:09.3269793Z [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' || :" 2025-09-09T14:03:09.3501633Z Entering 'third_party/cutlass' 2025-09-09T14:03:09.3572485Z [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" 2025-09-09T14:03:09.3803517Z Entering 'third_party/cutlass' 2025-09-09T14:03:09.3844563Z file:/home/alice/_work/ao/ao/pytorch/ao/.git/modules/third_party/cutlass/config remote.origin.url 2025-09-09T14:03:09.3890680Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-09T14:03:09.4117356Z Entering 'third_party/cutlass' 2025-09-09T14:03:09.4179856Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-09T14:03:09.4404397Z Entering 'third_party/cutlass' 2025-09-09T14:03:09.4465085Z ##[endgroup] 2025-09-09T14:03:09.4499546Z [command]/usr/bin/git log -1 --format=%H 2025-09-09T14:03:09.4523821Z 7c05f811b89289f7be3e0e3546626827f2cc1ca4 2025-09-09T14:03:09.4711813Z Prepare all required actions 2025-09-09T14:03:09.4712339Z Getting action download info 2025-09-09T14:03:09.6525821Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-09T14:03:09.9217864Z ##[group]Run ./test-infra/.github/actions/calculate-docker-image 2025-09-09T14:03:09.9218158Z with: 2025-09-09T14:03:09.9218331Z use-custom-docker-registry: true 2025-09-09T14:03:09.9218596Z docker-image-name: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:09.9218874Z docker-build-dir: .ci/docker 2025-09-09T14:03:09.9219082Z working-directory: pytorch/ao 2025-09-09T14:03:09.9219287Z docker-build-script: ./build.sh 2025-09-09T14:03:09.9219563Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:03:09.9219840Z force-push: false 2025-09-09T14:03:09.9219998Z env: 2025-09-09T14:03:09.9220179Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:09.9220634Z REPOSITORY: pytorch/ao 2025-09-09T14:03:09.9220857Z PR_NUMBER: 2963 2025-09-09T14:03:09.9222658Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:09.9224492Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:09.9224812Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:09.9225269Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:09.9225545Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:03:09.9225794Z ##[endgroup] 2025-09-09T14:03:09.9242247Z ##[group]Run set -ex 2025-09-09T14:03:09.9242467Z set -ex 2025-09-09T14:03:09.9242615Z  2025-09-09T14:03:09.9242896Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-09T14:03:09.9243356Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-09T14:03:09.9243751Z # job could then download the pre-built image as usual 2025-09-09T14:03:09.9244231Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-09T14:03:09.9244670Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9244899Z else 2025-09-09T14:03:09.9245252Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9245584Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9245866Z  2025-09-09T14:03:09.9246256Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-09T14:03:09.9246702Z  exit 0 2025-09-09T14:03:09.9246850Z fi 2025-09-09T14:03:09.9246994Z  2025-09-09T14:03:09.9247226Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-09T14:03:09.9247653Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-09T14:03:09.9248019Z  # use it as it is, but first let's extract the tag 2025-09-09T14:03:09.9248369Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-09T14:03:09.9248721Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9249056Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9249589Z else 2025-09-09T14:03:09.9249781Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-09T14:03:09.9250051Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-09T14:03:09.9250324Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-09T14:03:09.9250545Z  fi 2025-09-09T14:03:09.9250861Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-09T14:03:09.9251279Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9251738Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9252231Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:03:09.9252521Z fi 2025-09-09T14:03:09.9266372Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:09.9266796Z env: 2025-09-09T14:03:09.9267003Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:09.9267255Z REPOSITORY: pytorch/ao 2025-09-09T14:03:09.9267440Z PR_NUMBER: 2963 2025-09-09T14:03:09.9269221Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:09.9271076Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:09.9271432Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:09.9271763Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:09.9272047Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:03:09.9272377Z REPO_NAME: ao 2025-09-09T14:03:09.9272583Z DOCKER_IMAGE_NAME: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:09.9272845Z DOCKER_BUILD_DIR: .ci/docker 2025-09-09T14:03:09.9273042Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-09T14:03:09.9273303Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:03:09.9273582Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-09T14:03:09.9273780Z CUSTOM_TAG_PREFIX: 2025-09-09T14:03:09.9273947Z ##[endgroup] 2025-09-09T14:03:09.9304017Z + [[ -d .ci/docker ]] 2025-09-09T14:03:09.9304211Z + echo skip=true 2025-09-09T14:03:09.9304587Z + echo docker-image=pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:09.9305278Z + echo 'Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ao repo...' 2025-09-09T14:03:09.9305777Z + exit 0 2025-09-09T14:03:09.9306171Z Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ao repo... 2025-09-09T14:03:09.9336735Z ##[group]Run set -eux 2025-09-09T14:03:09.9336944Z set -eux 2025-09-09T14:03:09.9337246Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-09T14:03:09.9338077Z 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 2025-09-09T14:03:09.9352501Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:09.9352775Z env: 2025-09-09T14:03:09.9352976Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:09.9353224Z REPOSITORY: pytorch/ao 2025-09-09T14:03:09.9353416Z PR_NUMBER: 2963 2025-09-09T14:03:09.9355558Z 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 torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:09.9357473Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:09.9357791Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:09.9358108Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:09.9358387Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:03:09.9358642Z ##[endgroup] 2025-09-09T14:03:09.9392228Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-09T14:03:09.9393537Z + jq --raw-output .SecretString 2025-09-09T14:03:09.9394583Z + jq -r .docker_hub_readonly_token 2025-09-09T14:03:09.9414457Z + docker login --username pytorchbot --password-stdin 2025-09-09T14:03:10.5051135Z 2025-09-09T14:03:10.5052691Z An error occurred (AccessDeniedException) when calling the GetSecretValue operation: User: arn:aws:sts::308535385114:assumed-role/gh-ci-github-action-runners-runner-role/i-0d73070610f53945f is not authorized to perform: secretsmanager:GetSecretValue on resource: docker_hub_readonly_token because no identity-based policy allows the secretsmanager:GetSecretValue action 2025-09-09T14:03:10.5795896Z Error: Cannot perform an interactive login from a non TTY device 2025-09-09T14:03:10.5819481Z + true 2025-09-09T14:03:10.5881243Z Prepare all required actions 2025-09-09T14:03:10.5922318Z ##[group]Run ./test-infra/.github/actions/pull-docker-image 2025-09-09T14:03:10.5922594Z with: 2025-09-09T14:03:10.5922785Z docker-image: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:10.5923135Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:03:10.5923407Z env: 2025-09-09T14:03:10.5923598Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:10.5923856Z REPOSITORY: pytorch/ao 2025-09-09T14:03:10.5924041Z PR_NUMBER: 2963 2025-09-09T14:03:10.5926051Z 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 torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:10.5927897Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:10.5928213Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:10.5928518Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:10.5928788Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:03:10.5929038Z ##[endgroup] 2025-09-09T14:03:10.5942004Z ##[group]Run set -x 2025-09-09T14:03:10.5942227Z set -x 2025-09-09T14:03:10.5942393Z set +e 2025-09-09T14:03:10.5942540Z  2025-09-09T14:03:10.5942683Z login() { 2025-09-09T14:03:10.5943019Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-09T14:03:10.5943389Z } 2025-09-09T14:03:10.5943527Z  2025-09-09T14:03:10.5943672Z retry () { 2025-09-09T14:03:10.5943853Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-09T14:03:10.5944082Z } 2025-09-09T14:03:10.5944230Z  2025-09-09T14:03:10.5944384Z retry login "${DOCKER_REGISTRY}" 2025-09-09T14:03:10.5944604Z  2025-09-09T14:03:10.5945094Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-09T14:03:10.5945557Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-09T14:03:10.5945811Z  2025-09-09T14:03:10.5945968Z set -e 2025-09-09T14:03:10.5946206Z # ignore output since only exit code is used for conditional 2025-09-09T14:03:10.5946555Z # only pull docker image if it's not available locally 2025-09-09T14:03:10.5946937Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-09T14:03:10.5947293Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-09T14:03:10.5947516Z fi 2025-09-09T14:03:10.5962053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:03:10.5962327Z env: 2025-09-09T14:03:10.5962520Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:10.5963002Z REPOSITORY: pytorch/ao 2025-09-09T14:03:10.5963191Z PR_NUMBER: 2963 2025-09-09T14:03:10.5965155Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:03:10.5967232Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:03:10.5967574Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:03:10.5967866Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:03:10.5968146Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:03:10.5968462Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:03:10.5968741Z ##[endgroup] 2025-09-09T14:03:10.6003863Z + set +e 2025-09-09T14:03:10.6004089Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:03:10.6004393Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:03:10.6008247Z + aws ecr get-login-password --region us-east-1 2025-09-09T14:03:10.6009223Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-09T14:03:11.3911554Z 2025-09-09T14:03:11.3911911Z WARNING! Your credentials are stored unencrypted in '/home/alice/.docker/config.json'. 2025-09-09T14:03:11.3912479Z Configure a credential helper to remove this warning. See 2025-09-09T14:03:11.3912814Z https://docs.docker.com/go/credential-store/ 2025-09-09T14:03:11.3913002Z 2025-09-09T14:03:11.3913071Z Login Succeeded 2025-09-09T14:03:11.3947546Z ++ docker manifest inspect pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:11.3948789Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-09T14:03:11.6562021Z + IMAGE_SIZE=6699.368515968323 2025-09-09T14:03:11.6562331Z + echo 'Compressed size of image in MB: 6699.368515968323' 2025-09-09T14:03:11.6562639Z + set -e 2025-09-09T14:03:11.6562850Z Compressed size of image in MB: 6699.368515968323 2025-09-09T14:03:11.6563232Z + docker inspect --type=image pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:11.6693229Z + retry docker pull pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:11.6693622Z + docker pull pytorch/almalinux-builder:cuda12.4 2025-09-09T14:03:11.9357289Z cuda12.4: Pulling from pytorch/almalinux-builder 2025-09-09T14:03:11.9357968Z 09720f817e0c: Pulling fs layer 2025-09-09T14:03:11.9358275Z 1d84e1ac428b: Pulling fs layer 2025-09-09T14:03:11.9358528Z c75a2b7d88f9: Pulling fs layer 2025-09-09T14:03:11.9358766Z 617376b89c9c: Pulling fs layer 2025-09-09T14:03:11.9359013Z 7607a3844c60: Pulling fs layer 2025-09-09T14:03:11.9359255Z 8e2aaef32790: Pulling fs layer 2025-09-09T14:03:11.9359508Z 4f4fb700ef54: Pulling fs layer 2025-09-09T14:03:11.9359782Z 60293937fc96: Pulling fs layer 2025-09-09T14:03:11.9360070Z 49616f3e4d32: Pulling fs layer 2025-09-09T14:03:11.9360340Z aa8183be866c: Pulling fs layer 2025-09-09T14:03:11.9360563Z 009e98ac89b2: Pulling fs layer 2025-09-09T14:03:11.9360787Z 35467081aa67: Pulling fs layer 2025-09-09T14:03:11.9361003Z 62e754861696: Pulling fs layer 2025-09-09T14:03:11.9361224Z e139f786f7c1: Pulling fs layer 2025-09-09T14:03:11.9361443Z 757ff67abae5: Pulling fs layer 2025-09-09T14:03:11.9361677Z 3cb69a17996f: Pulling fs layer 2025-09-09T14:03:11.9361900Z 5c1e75fd5a3e: Pulling fs layer 2025-09-09T14:03:11.9362126Z 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Checksum 2025-09-09T14:03:13.7274331Z 60293937fc96: Download complete 2025-09-09T14:03:13.7660142Z 49616f3e4d32: Download complete 2025-09-09T14:03:13.8190330Z aa8183be866c: Verifying Checksum 2025-09-09T14:03:13.8190705Z aa8183be866c: Download complete 2025-09-09T14:03:13.8820023Z 009e98ac89b2: Verifying Checksum 2025-09-09T14:03:13.8820364Z 009e98ac89b2: Download complete 2025-09-09T14:03:14.2110102Z 62e754861696: Verifying Checksum 2025-09-09T14:03:14.2110445Z 62e754861696: Download complete 2025-09-09T14:03:14.3076279Z e139f786f7c1: Verifying Checksum 2025-09-09T14:03:14.3076570Z e139f786f7c1: Download complete 2025-09-09T14:03:14.7099095Z 09720f817e0c: Pull complete 2025-09-09T14:03:15.5026985Z 1d84e1ac428b: Pull complete 2025-09-09T14:03:15.6389532Z c75a2b7d88f9: Pull complete 2025-09-09T14:03:15.9855304Z 617376b89c9c: Verifying Checksum 2025-09-09T14:03:15.9855615Z 617376b89c9c: Download complete 2025-09-09T14:03:16.0807954Z 3cb69a17996f: Download complete 2025-09-09T14:03:16.1698216Z 5c1e75fd5a3e: Verifying Checksum 2025-09-09T14:03:16.1698534Z 5c1e75fd5a3e: Download complete 2025-09-09T14:03:16.2590224Z 80626dc8b97f: Download complete 2025-09-09T14:03:16.4358674Z 8171cb75c7f5: Verifying Checksum 2025-09-09T14:03:16.4358998Z 8171cb75c7f5: Download complete 2025-09-09T14:03:16.5079570Z f7ea432e17ae: Verifying Checksum 2025-09-09T14:03:16.5079931Z f7ea432e17ae: Download complete 2025-09-09T14:03:16.5928185Z 3fddcc6ac73b: Verifying Checksum 2025-09-09T14:03:16.5928469Z 3fddcc6ac73b: Download complete 2025-09-09T14:03:19.0311912Z 757ff67abae5: Verifying Checksum 2025-09-09T14:03:19.0312318Z 757ff67abae5: Download complete 2025-09-09T14:03:19.8084522Z 617376b89c9c: Pull complete 2025-09-09T14:03:19.8478330Z 7607a3844c60: Pull complete 2025-09-09T14:03:20.7033215Z 8e2aaef32790: Pull complete 2025-09-09T14:03:20.7425638Z 4f4fb700ef54: Pull complete 2025-09-09T14:03:23.7847384Z 978b1cdf269f: Verifying Checksum 2025-09-09T14:03:23.7847698Z 978b1cdf269f: Download complete 2025-09-09T14:03:40.5924853Z 60293937fc96: Pull complete 2025-09-09T14:03:40.6301581Z 49616f3e4d32: Pull complete 2025-09-09T14:03:40.6673115Z aa8183be866c: Pull complete 2025-09-09T14:03:40.7038651Z 009e98ac89b2: Pull complete 2025-09-09T14:04:54.4879351Z 35467081aa67: Verifying Checksum 2025-09-09T14:04:54.4879654Z 35467081aa67: Download complete 2025-09-09T14:05:30.9661723Z 35467081aa67: Pull complete 2025-09-09T14:05:33.7713689Z 62e754861696: Pull complete 2025-09-09T14:05:36.1804194Z e139f786f7c1: Pull complete 2025-09-09T14:05:48.4989103Z 757ff67abae5: Pull complete 2025-09-09T14:05:50.6709304Z 3cb69a17996f: Pull complete 2025-09-09T14:05:53.0102525Z 5c1e75fd5a3e: Pull complete 2025-09-09T14:05:55.4009685Z 80626dc8b97f: Pull complete 2025-09-09T14:05:57.7681755Z 8171cb75c7f5: Pull complete 2025-09-09T14:06:00.0938594Z f7ea432e17ae: Pull complete 2025-09-09T14:06:02.6193109Z 3fddcc6ac73b: Pull complete 2025-09-09T14:06:16.8142539Z 978b1cdf269f: Pull complete 2025-09-09T14:06:18.0364227Z Digest: sha256:8529d477aa2ddea37755767b4a636c58fbd16a930952889e5e511ff52fa701a4 2025-09-09T14:06:18.5282786Z Status: Downloaded newer image for pytorch/almalinux-builder:cuda12.4 2025-09-09T14:06:18.6799448Z docker.io/pytorch/almalinux-builder:cuda12.4 2025-09-09T14:06:18.6859688Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-09T14:06:18.6860419Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-09T14:06:18.6874839Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:06:18.6875260Z env: 2025-09-09T14:06:18.6875450Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:06:18.6875715Z REPOSITORY: pytorch/ao 2025-09-09T14:06:18.6875895Z PR_NUMBER: 2963 2025-09-09T14:06:18.6877706Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:06:18.6879572Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:06:18.6879891Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:06:18.6880200Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:06:18.6880473Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:06:18.6880726Z ##[endgroup] 2025-09-09T14:06:18.7169334Z ##[group]Run echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-09T14:06:18.7169994Z echo "SCCACHE_SERVER_PORT_DOCKER_FLAG=-e SCCACHE_SERVER_PORT=$((RUNNER_UID + 4226))" >> "${GITHUB_ENV}" 2025-09-09T14:06:18.7183143Z shell: /usr/bin/bash -e {0} 2025-09-09T14:06:18.7183337Z env: 2025-09-09T14:06:18.7183540Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:06:18.7183800Z REPOSITORY: pytorch/ao 2025-09-09T14:06:18.7183998Z PR_NUMBER: 2963 2025-09-09T14:06:18.7185939Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:06:18.7187795Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:06:18.7188119Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:06:18.7188415Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:06:18.7188691Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:06:18.7189139Z ##[endgroup] 2025-09-09T14:06:18.7677819Z ##[group]Run set -ex 2025-09-09T14:06:18.7678048Z set -ex 2025-09-09T14:06:18.7678219Z { 2025-09-09T14:06:18.7678388Z  echo "#!/usr/bin/env bash"; 2025-09-09T14:06:18.7678625Z  echo "set -eou pipefail"; 2025-09-09T14:06:18.7678852Z  # shellcheck disable=SC2016 2025-09-09T14:06:18.7679096Z  echo 'eval "$(conda shell.bash hook)"'; 2025-09-09T14:06:18.7679338Z  echo "set -x"; 2025-09-09T14:06:18.7679526Z  echo "${SCRIPT}"; 2025-09-09T14:06:18.7679734Z } > "${RUNNER_TEMP}/exec_script" 2025-09-09T14:06:18.7679972Z chmod +x "${RUNNER_TEMP}/exec_script" 2025-09-09T14:06:18.7680373Z python3 "/home/alice/_work/ao/ao/test-infra/.github/scripts/run_with_env_secrets.py" "" 2025-09-09T14:06:18.7693555Z shell: /usr/bin/bash -e {0} 2025-09-09T14:06:18.7693767Z env: 2025-09-09T14:06:18.7693963Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:06:18.7694251Z REPOSITORY: pytorch/ao 2025-09-09T14:06:18.7694430Z PR_NUMBER: 2963 2025-09-09T14:06:18.7696350Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:06:18.7698204Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:06:18.7698531Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:06:18.7698838Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:06:18.7699123Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:06:18.7699434Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-09T14:06:18.7699946Z ALL_SECRETS: { "github_token": "***" } 2025-09-09T14:06:18.7700179Z ##[endgroup] 2025-09-09T14:06:18.8043474Z + echo '#!/usr/bin/env bash' 2025-09-09T14:06:18.8043751Z + echo 'set -eou pipefail' 2025-09-09T14:06:18.8044008Z + echo 'eval "$(conda shell.bash hook)"' 2025-09-09T14:06:18.8044278Z + echo 'set -x' 2025-09-09T14:06:18.8044491Z + echo 'conda create -n venv python=3.9 -y 2025-09-09T14:06:18.8044768Z conda activate venv 2025-09-09T14:06:18.8045178Z export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH 2025-09-09T14:06:18.8045507Z python -m pip install --upgrade pip 2025-09-09T14:06:18.8045760Z pip install uv 2025-09-09T14:06:18.8046276Z pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 2025-09-09T14:06:18.8046867Z uv pip install -r dev-requirements.txt 2025-09-09T14:06:18.8047139Z pip install . 2025-09-09T14:06:18.8047355Z pytest test/integration --verbose -s 2025-09-09T14:06:18.8047702Z pytest test/dtypes/test_affine_quantized_float.py --verbose -s 2025-09-09T14:06:18.8048176Z python test/quantization/quantize_/workflows/float8/test_float8_tensor.py 2025-09-09T14:06:18.8048587Z ./test/float8/test_everything_single_gpu.sh 2025-09-09T14:06:18.8048869Z pytest test/prototype/mx_formats/ -s 2025-09-09T14:06:18.8049113Z ' 2025-09-09T14:06:18.8049306Z + chmod +x /home/alice/_work/_temp/exec_script 2025-09-09T14:06:18.8055137Z + python3 /home/alice/_work/ao/ao/test-infra/.github/scripts/run_with_env_secrets.py '' 2025-09-09T14:07:06.3524738Z Running command: 2025-09-09T14:07:06.3529647Z 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/alice/_work/_temp/github_env_17585175117" `# 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/alice/_work/ao/ao/pytorch/ao:/pytorch/ao" -v "/home/alice/_work/ao/ao/test-infra:/test-infra" -v "/home/alice/_work/_temp/artifacts:/artifacts" -v "/home/alice/_work/_temp/docs:/docs" -v "/home/alice/_work/_temp/test-results:/test-results" -v "/home/alice/_work/_temp/exec_script:/exec" -v "/home/alice/_work/_temp/_runner_file_commands/step_summary_b69ea51e-b3c2-4587-88cc-1d87ff868913":"/home/alice/_work/_temp/_runner_file_commands/step_summary_b69ea51e-b3c2-4587-88cc-1d87ff868913" -w /pytorch/ao "pytorch/almalinux-builder:cuda12.4" 2025-09-09T14:07:06.3533438Z 2025-09-09T14:07:06.3533706Z dd32b7d489cb8a6e4398a039c257bb1c93110976f0eca2ff8a98189abec3ae57 2025-09-09T14:07:06.3534260Z Running command: docker exec -t dd32b7d489cb8a6e4398a039c257bb1c93110976f0eca2ff8a98189abec3ae57 /exec 2025-09-09T14:07:06.3534733Z + conda create -n venv python=3.9 -y 2025-09-09T14:07:06.3535136Z + local cmd=create 2025-09-09T14:07:06.3535383Z + case "$cmd" in 2025-09-09T14:07:06.3535578Z + __conda_exe create -n venv python=3.9 -y 2025-09-09T14:07:06.3535876Z + /opt/conda/bin/conda create -n venv python=3.9 -y 2025-09-09T14:07:06.3536685Z Collecting package metadata (current_repodata.json): - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - \ | / - done 2025-09-09T14:07:06.3537192Z Solving environment: | done 2025-09-09T14:07:06.3537348Z 2025-09-09T14:07:06.3537351Z 2025-09-09T14:07:06.3537460Z ==> WARNING: A newer version of conda exists. <== 2025-09-09T14:07:06.3537717Z current version: 23.5.2 2025-09-09T14:07:06.3537906Z latest version: 25.7.0 2025-09-09T14:07:06.3538020Z 2025-09-09T14:07:06.3538118Z Please update conda by running 2025-09-09T14:07:06.3538247Z 2025-09-09T14:07:06.3538346Z $ conda update -n base -c defaults conda 2025-09-09T14:07:06.3538518Z 2025-09-09T14:07:06.3538667Z Or to minimize the number of packages updated during conda update use 2025-09-09T14:07:06.3538895Z 2025-09-09T14:07:06.3538973Z conda install conda=25.7.0 2025-09-09T14:07:06.3539104Z 2025-09-09T14:07:06.3539107Z 2025-09-09T14:07:06.3539110Z 2025-09-09T14:07:06.3539174Z ## Package Plan ## 2025-09-09T14:07:06.3539284Z 2025-09-09T14:07:06.3539373Z environment location: /opt/conda/envs/venv 2025-09-09T14:07:06.3539532Z 2025-09-09T14:07:06.3539617Z added / updated specs: 2025-09-09T14:07:06.3539791Z - python=3.9 2025-09-09T14:07:06.3539888Z 2025-09-09T14:07:06.3539891Z 2025-09-09T14:07:06.3539990Z The following packages will be downloaded: 2025-09-09T14:07:06.3540153Z 2025-09-09T14:07:06.3540236Z package | build 2025-09-09T14:07:06.3540474Z ---------------------------|----------------- 2025-09-09T14:07:06.3540733Z bzip2-1.0.8 | h5eee18b_6 262 KB 2025-09-09T14:07:06.3541039Z ca-certificates-2025.7.15 | h06a4308_0 126 KB 2025-09-09T14:07:06.3541339Z ld_impl_linux-64-2.40 | h12ee557_0 710 KB 2025-09-09T14:07:06.3541610Z libffi-3.4.4 | h6a678d5_1 141 KB 2025-09-09T14:07:06.3541880Z libxcb-1.17.0 | h9b100fa_0 430 KB 2025-09-09T14:07:06.3542143Z ncurses-6.5 | h7934f7d_0 1.1 MB 2025-09-09T14:07:06.3542413Z openssl-3.0.17 | h5eee18b_0 5.2 MB 2025-09-09T14:07:06.3542671Z pip-25.2 | pyhc872135_0 1.2 MB 2025-09-09T14:07:06.3543116Z pthread-stubs-0.3 | h0ce48e5_1 5 KB 2025-09-09T14:07:06.3543530Z python-3.9.23 | he99959a_0 24.7 MB 2025-09-09T14:07:06.3543796Z readline-8.3 | hc2a1206_0 471 KB 2025-09-09T14:07:06.3544080Z setuptools-78.1.1 | py39h06a4308_0 1.7 MB 2025-09-09T14:07:06.3556937Z sqlite-3.50.2 | hb25bd0a_1 1.1 MB 2025-09-09T14:07:06.3557232Z tk-8.6.15 | h54e0aa7_0 3.4 MB 2025-09-09T14:07:06.3557499Z tzdata-2025b | h04d1e81_0 116 KB 2025-09-09T14:07:06.3557776Z wheel-0.45.1 | py39h06a4308_0 114 KB 2025-09-09T14:07:06.3558060Z xorg-libx11-1.8.12 | h9b100fa_1 895 KB 2025-09-09T14:07:06.3558352Z xorg-libxau-1.0.12 | h9b100fa_0 13 KB 2025-09-09T14:07:06.3558645Z xorg-libxdmcp-1.1.5 | h9b100fa_0 19 KB 2025-09-09T14:07:06.3558984Z xorg-xorgproto-2024.1 | h5eee18b_1 580 KB 2025-09-09T14:07:06.3559281Z xz-5.6.4 | h5eee18b_1 567 KB 2025-09-09T14:07:06.3559529Z zlib-1.2.13 | h5eee18b_1 111 KB 2025-09-09T14:07:06.3559788Z ------------------------------------------------------------ 2025-09-09T14:07:06.3560027Z Total: 42.9 MB 2025-09-09T14:07:06.3560189Z 2025-09-09T14:07:06.3560291Z The following NEW packages will be INSTALLED: 2025-09-09T14:07:06.3560461Z 2025-09-09T14:07:06.3560619Z _libgcc_mutex pkgs/main/linux-64::_libgcc_mutex-0.1-main 2025-09-09T14:07:06.3560961Z _openmp_mutex pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu 2025-09-09T14:07:06.3561282Z bzip2 pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_6 2025-09-09T14:07:06.3561643Z ca-certificates pkgs/main/linux-64::ca-certificates-2025.7.15-h06a4308_0 2025-09-09T14:07:06.3562010Z expat pkgs/main/linux-64::expat-2.7.1-h6a678d5_0 2025-09-09T14:07:06.3562347Z ld_impl_linux-64 pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0 2025-09-09T14:07:06.3562688Z libffi pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1 2025-09-09T14:07:06.3563003Z libgcc-ng pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1 2025-09-09T14:07:06.3563322Z libgomp pkgs/main/linux-64::libgomp-11.2.0-h1234567_1 2025-09-09T14:07:06.3563675Z libstdcxx-ng pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1 2025-09-09T14:07:06.3564007Z libxcb pkgs/main/linux-64::libxcb-1.17.0-h9b100fa_0 2025-09-09T14:07:06.3564313Z ncurses pkgs/main/linux-64::ncurses-6.5-h7934f7d_0 2025-09-09T14:07:06.3564621Z openssl pkgs/main/linux-64::openssl-3.0.17-h5eee18b_0 2025-09-09T14:07:06.3564914Z pip pkgs/main/noarch::pip-25.2-pyhc872135_0 2025-09-09T14:07:06.3565403Z pthread-stubs pkgs/main/linux-64::pthread-stubs-0.3-h0ce48e5_1 2025-09-09T14:07:06.3565746Z python pkgs/main/linux-64::python-3.9.23-he99959a_0 2025-09-09T14:07:06.3566061Z readline pkgs/main/linux-64::readline-8.3-hc2a1206_0 2025-09-09T14:07:06.3566404Z setuptools pkgs/main/linux-64::setuptools-78.1.1-py39h06a4308_0 2025-09-09T14:07:06.3566737Z sqlite pkgs/main/linux-64::sqlite-3.50.2-hb25bd0a_1 2025-09-09T14:07:06.3567032Z tk pkgs/main/linux-64::tk-8.6.15-h54e0aa7_0 2025-09-09T14:07:06.3567309Z tzdata pkgs/main/noarch::tzdata-2025b-h04d1e81_0 2025-09-09T14:07:06.3567615Z wheel pkgs/main/linux-64::wheel-0.45.1-py39h06a4308_0 2025-09-09T14:07:06.3567938Z xorg-libx11 pkgs/main/linux-64::xorg-libx11-1.8.12-h9b100fa_1 2025-09-09T14:07:06.3568288Z xorg-libxau pkgs/main/linux-64::xorg-libxau-1.0.12-h9b100fa_0 2025-09-09T14:07:06.3568697Z xorg-libxdmcp pkgs/main/linux-64::xorg-libxdmcp-1.1.5-h9b100fa_0 2025-09-09T14:07:06.3569298Z xorg-xorgproto pkgs/main/linux-64::xorg-xorgproto-2024.1-h5eee18b_1 2025-09-09T14:07:06.3570310Z xz pkgs/main/linux-64::xz-5.6.4-h5eee18b_1 2025-09-09T14:07:06.3570733Z zlib pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1 2025-09-09T14:07:06.3571038Z 2025-09-09T14:07:06.3571043Z 2025-09-09T14:07:06.3571047Z 2025-09-09T14:07:06.3571149Z Downloading and Extracting Packages 2025-09-09T14:07:06.3571295Z 2025-09-09T14:07:06.3571409Z python-3.9.23 | 24.7 MB | : 0% 0/1 [00:00=4.10.0 (from torch) 2025-09-09T14:07:16.0970531Z Downloading https://download.pytorch.org/whl/nightly/typing_extensions-4.14.1-py3-none-any.whl.metadata (3.0 kB) 2025-09-09T14:07:16.0970984Z Collecting sympy>=1.13.3 (from torch) 2025-09-09T14:07:16.0971386Z Downloading https://download.pytorch.org/whl/nightly/sympy-1.14.0-py3-none-any.whl.metadata (12 kB) 2025-09-09T14:07:16.0971800Z Collecting networkx>=2.5.1 (from torch) 2025-09-09T14:07:16.0972215Z Downloading https://download.pytorch.org/whl/nightly/networkx-3.5-py3-none-any.whl.metadata (6.3 kB) 2025-09-09T14:07:16.0972635Z Collecting jinja2 (from torch) 2025-09-09T14:07:16.0973029Z Downloading https://download.pytorch.org/whl/nightly/jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB) 2025-09-09T14:07:16.0973434Z Collecting fsspec>=0.8.5 (from torch) 2025-09-09T14:07:16.0973847Z Downloading https://download.pytorch.org/whl/nightly/fsspec-2025.7.0-py3-none-any.whl.metadata (12 kB) 2025-09-09T14:07:16.0974306Z Collecting nvidia-cuda-nvrtc-cu12==12.6.77 (from torch) 2025-09-09T14:07:16.0974858Z Downloading https://download.pytorch.org/whl/nightly/cu126/nvidia_cuda_nvrtc_cu12-12.6.77-py3-none-manylinux2014_x86_64.whl (23.7 MB) 2025-09-09T14:07:16.0975679Z [?25l 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2025-09-09T14:07:22.5156608Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 8.9/8.9 MB 171.5 MB/s 0:00:00 2025-09-09T14:07:22.5157086Z [?25hCollecting nvidia-cudnn-cu12==9.10.2.21 (from torch) 2025-09-09T14:07:22.5157784Z 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) 2025-09-09T14:07:22.5158438Z Collecting nvidia-cublas-cu12==12.6.4.1 (from torch) 2025-09-09T14:07:22.5159165Z 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) 2025-09-09T14:07:22.5160072Z [?25l ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 0.0/393.1 MB ? eta -:--:-- 2025-09-09T14:07:22.5160807Z  ━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 60.3/393.1 MB 302.6 MB/s eta 0:00:02 2025-09-09T14:07:22.5161514Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━ 121.1/393.1 MB 302.0 MB/s eta 0:00:01 2025-09-09T14:07:22.5162646Z  ━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 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networkx, MarkupSafe, fsspec, filelock, nvidia-cusparse-cu12, nvidia-cufft-cu12, nvidia-cudnn-cu12, jinja2, importlib-metadata, fbgemm-gpu-genai, pytorch-triton, nvidia-cusolver-cu12, torch, torchvision, torchaudio 2025-09-09T14:08:12.5106179Z [?25l 2025-09-09T14:08:12.5106515Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/32 [nvidia-cusparselt-cu12] 2025-09-09T14:08:12.5106985Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/32 [nvidia-cusparselt-cu12] 2025-09-09T14:08:12.5107451Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/32 [nvidia-cusparselt-cu12] 2025-09-09T14:08:12.5107897Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/32 [nvidia-cusparselt-cu12] 2025-09-09T14:08:12.5108347Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/32 [nvidia-cusparselt-cu12] 2025-09-09T14:08:12.5108790Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/32 [nvidia-cusparselt-cu12] 2025-09-09T14:08:12.5109239Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  0/32 [nvidia-cusparselt-cu12] 2025-09-09T14:08:12.5109729Z  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2025-09-09T14:08:19.7311080Z  ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/32 [sympy] 2025-09-09T14:08:19.7311584Z  ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/32 [sympy] 2025-09-09T14:08:19.7312197Z  ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/32 [sympy] 2025-09-09T14:08:19.7312719Z  ━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  4/32 [sympy] 2025-09-09T14:08:19.7313242Z  ━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  5/32 [pillow] 2025-09-09T14:08:19.7313803Z  ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/32 [nvidia-nvshmem-cu12] 2025-09-09T14:08:19.7314404Z  ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/32 [nvidia-nvshmem-cu12] 2025-09-09T14:08:19.7315209Z  ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/32 [nvidia-nvshmem-cu12] 2025-09-09T14:08:19.7315811Z  ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/32 [nvidia-nvshmem-cu12] 2025-09-09T14:08:19.7316378Z  ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/32 [nvidia-nvshmem-cu12] 2025-09-09T14:08:19.7317036Z  ━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  7/32 [nvidia-nvshmem-cu12] 2025-09-09T14:08:19.7317593Z  ━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━━  8/32 [nvidia-nvjitlink-cu12] 2025-09-09T14:08:19.7318136Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7318672Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7319234Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7319770Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7320299Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7320824Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7321352Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7321886Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7322415Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7323112Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7323788Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7324318Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7324846Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7325507Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7326032Z  ━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━━━━━━  9/32 [nvidia-nccl-cu12] 2025-09-09T14:08:19.7326559Z  ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10/32 [nvidia-curand-cu12] 2025-09-09T14:08:19.7327120Z  ━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━━━━━━ 10/32 [nvidia-curand-cu12] 2025-09-09T14:08:19.7327672Z  ━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━━━━━ 13/32 [nvidia-cuda-nvrtc-cu12] 2025-09-09T14:08:19.7328131Z  ━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━━ 14/32 [nvidia-cuda-cupti-cu12] 2025-09-09T14:08:19.7328578Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:19.7329014Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:19.7329449Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:19.7329891Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:19.7330323Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:19.7331067Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9643312Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9643932Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9644481Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9645407Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9645972Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9646501Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9647084Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9647630Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9648169Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9648703Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9649250Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9649781Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9650281Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9650790Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9651326Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9651822Z  ━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━━━━━━ 15/32 [nvidia-cublas-cu12] 2025-09-09T14:08:26.9652304Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9652757Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9653210Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9653677Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9654118Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9655152Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9655909Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9656352Z  ━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━━ 16/32 [numpy] 2025-09-09T14:08:26.9656812Z  ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 17/32 [networkx] 2025-09-09T14:08:26.9657281Z  ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 17/32 [networkx] 2025-09-09T14:08:26.9657741Z  ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 17/32 [networkx] 2025-09-09T14:08:26.9658207Z  ━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━━━━━━ 17/32 [networkx] 2025-09-09T14:08:26.9658661Z  ━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━━━━━ 19/32 [fsspec] 2025-09-09T14:08:26.9659180Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9659730Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9660194Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9660639Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9661075Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9661521Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9661972Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9662570Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9663139Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9663581Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━━━━━━━━━━ 21/32 [nvidia-cusparse-cu12] 2025-09-09T14:08:26.9664021Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:26.9664460Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:26.9664907Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:26.9665503Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:34.1687455Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:34.1702675Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:34.1703199Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:34.1703684Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━━ 22/32 [nvidia-cufft-cu12] 2025-09-09T14:08:34.1704162Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1704624Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1705273Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1705737Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1706210Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1706688Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1707139Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1707612Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1708061Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1708517Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1708977Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1709775Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1710468Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1710923Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1711390Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1711846Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1712379Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1712835Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1713267Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━━━━━━ 23/32 [nvidia-cudnn-cu12] 2025-09-09T14:08:34.1713740Z  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[pytorch-triton] 2025-09-09T14:08:41.5428671Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 27/32 [pytorch-triton] 2025-09-09T14:08:41.5429261Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 27/32 [pytorch-triton] 2025-09-09T14:08:41.5429852Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 27/32 [pytorch-triton] 2025-09-09T14:08:41.5430390Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 27/32 [pytorch-triton] 2025-09-09T14:08:41.5430912Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 27/32 [pytorch-triton] 2025-09-09T14:08:41.5431442Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 27/32 [pytorch-triton] 2025-09-09T14:08:41.5432049Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╸━━━━━━ 27/32 [pytorch-triton] 2025-09-09T14:08:41.5432620Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5433277Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5909826Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5910423Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5910997Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5911557Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5912207Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5912764Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━━ 28/32 [nvidia-cusolver-cu12] 2025-09-09T14:08:41.5913255Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 29/32 [torch] 2025-09-09T14:08:41.5913695Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 29/32 [torch] 2025-09-09T14:08:41.5914109Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 29/32 [torch] 2025-09-09T14:08:41.5914516Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 29/32 [torch] 2025-09-09T14:08:41.5914912Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 29/32 [torch] 2025-09-09T14:08:41.5915838Z  ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╺━━━ 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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 pillow-11.3.0 pytorch-triton-3.4.0+gitf7888497 sympy-1.14.0 torch-2.9.0.dev20250825+cu126 torchaudio-2.8.0.dev20250825+cu126 torchvision-0.24.0.dev20250825+cu126 typing-extensions-4.14.1 zipp-3.19.2 2025-09-09T14:08:53.6757976Z 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. 2025-09-09T14:08:53.6759188Z + uv pip install -r dev-requirements.txt 2025-09-09T14:08:53.6759535Z Using Python 3.9.23 environment at: /opt/conda/envs/venv 2025-09-09T14:08:53.6759988Z ⠋ Resolving dependencies...  2025-09-09T14:08:53.6760487Z ⠙ Resolving dependencies...  2025-09-09T14:08:53.6760960Z ⠋ Resolving dependencies...  2025-09-09T14:08:53.6761441Z ⠙ Resolving dependencies...  2025-09-09T14:08:53.6761905Z ⠹ Resolving dependencies...  2025-09-09T14:08:53.6762316Z ⠹ ruff==0.11.6  2025-09-09T14:08:53.6762691Z ⠹ pytest==8.4.2  2025-09-09T14:08:53.6763120Z ⠹ unittest-xml-reporting==3.2.0  2025-09-09T14:08:53.6763574Z ⠹ parameterized==0.9.0  2025-09-09T14:08:53.6763995Z ⠹ packaging==25.0  2025-09-09T14:08:53.6764412Z ⠹ transformers==4.56.1  2025-09-09T14:08:53.6764844Z ⠹ hypothesis==6.138.15  2025-09-09T14:08:53.6765397Z ⠹ sentencepiece==0.2.1  2025-09-09T14:08:53.6765812Z ⠹ expecttest==0.3.0  2025-09-09T14:08:53.6766220Z ⠹ bitsandbytes==0.47.0  2025-09-09T14:08:53.6766623Z ⠹ ruff==0.11.6  2025-09-09T14:08:53.6767160Z ⠹ pytest==8.4.2  2025-09-09T14:08:53.6767721Z ⠹ unittest-xml-reporting==3.2.0  2025-09-09T14:08:53.6768181Z ⠹ parameterized==0.9.0  2025-09-09T14:08:53.6768581Z ⠹ packaging==25.0  2025-09-09T14:08:53.6768988Z ⠹ transformers==4.56.1  2025-09-09T14:08:53.6769406Z ⠹ hypothesis==6.138.15  2025-09-09T14:08:53.6769819Z ⠹ sentencepiece==0.2.1  2025-09-09T14:08:53.6770236Z ⠹ expecttest==0.3.0  2025-09-09T14:08:53.6770645Z ⠹ bitsandbytes==0.47.0  2025-09-09T14:08:53.6771052Z ⠹ ruff==0.11.6  2025-09-09T14:08:53.6771469Z ⠹ exceptiongroup==1.3.0  2025-09-09T14:08:53.6771882Z ⠹ iniconfig==2.1.0  2025-09-09T14:08:53.6772271Z ⠸ tomli==2.2.1  2025-09-09T14:08:53.6772649Z ⠸ filelock==3.19.1  2025-09-09T14:08:53.6773043Z ⠸ requests==2.32.5  2025-09-09T14:08:53.6773480Z ⠸ nvidia-cuda-nvrtc-cu12==12.6.77  2025-09-09T14:08:53.6773918Z ⠼ contourpy==1.3.0  2025-09-09T14:08:54.5425555Z ⠼ importlib-resources==6.5.2  2025-09-09T14:08:54.5426176Z ⠼ peft==0.17.1  2025-09-09T14:08:54.5426744Z ⠴ rouge-score==0.1.2  2025-09-09T14:08:54.5427259Z ⠦ rouge-score==0.1.2  2025-09-09T14:08:54.5427742Z ⠧ rouge-score==0.1.2  2025-09-09T14:08:54.5428208Z ⠧ sacrebleu==2.5.1  2025-09-09T14:08:54.5428718Z ⠧ importlib-resources==6.5.2  2025-09-09T14:08:54.5429300Z ⠧ importlib-resources==6.5.2  2025-09-09T14:08:54.5429805Z ⠧ diskcache==5.6.3  2025-09-09T14:08:54.5430276Z ⠧ pycocotools==2.0.10  2025-09-09T14:08:54.5430730Z ⠧ tqdm==4.67.1  2025-09-09T14:08:54.5431153Z ⠧ ninja==1.13.0  2025-09-09T14:08:54.5431578Z ⠧ cmake==3.31.6  2025-09-09T14:08:54.5432147Z ⠧ pre-commit==4.3.0  2025-09-09T14:08:54.5432614Z ⠧ fsspec==2025.3.0  2025-09-09T14:08:54.5433557Z ⠇ typepy==1.3.4  2025-09-09T14:08:54.5434043Z ⠇ aiohappyeyeballs==2.6.1  2025-09-09T14:08:54.5434540Z ⠇ async-timeout==5.0.1  2025-09-09T14:08:54.5435160Z ⠇ propcache==0.3.2  2025-09-09T14:08:54.5435580Z Resolved 134 packages in 1.57s 2025-09-09T14:08:54.5436045Z ⠋ Preparing packages... (0/0) 2025-09-09T14:08:54.5436579Z ⠋ Preparing packages... (0/105) 2025-09-09T14:08:54.5437120Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5437522Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5437943Z virtualenv  ------------------------------ 0 B/5.71 MiB  2025-09-09T14:08:54.5438274Z  2025-09-09T14:08:54.5438508Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5438920Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5439235Z  2025-09-09T14:08:54.5439450Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5439859Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5440179Z  2025-09-09T14:08:54.5440386Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5440762Z tokenizers  ------------------------------ 0 B/3.19 MiB 2025-09-09T14:08:54.5441225Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5441558Z  2025-09-09T14:08:54.5441705Z  2025-09-09T14:08:54.5441911Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5442291Z tokenizers  ------------------------------ 14.91 KiB/3.19 MiB 2025-09-09T14:08:54.5442746Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5443064Z  2025-09-09T14:08:54.5443213Z  2025-09-09T14:08:54.5443437Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5443817Z tokenizers  ------------------------------ 14.91 KiB/3.19 MiB 2025-09-09T14:08:54.5444263Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5444575Z  2025-09-09T14:08:54.5444713Z  2025-09-09T14:08:54.5445098Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5445482Z tokenizers  ------------------------------ 14.91 KiB/3.19 MiB 2025-09-09T14:08:54.5445959Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5446286Z  2025-09-09T14:08:54.5446426Z  2025-09-09T14:08:54.5446648Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5446999Z nltk  ------------------------------ 0 B/1.44 MiB 2025-09-09T14:08:54.5447412Z tokenizers  ------------------------------ 14.91 KiB/3.19 MiB 2025-09-09T14:08:54.5447870Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5448178Z  2025-09-09T14:08:54.5448322Z  2025-09-09T14:08:54.5448458Z  2025-09-09T14:08:54.5449046Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5449418Z nltk  ------------------------------ 0 B/1.44 MiB 2025-09-09T14:08:54.5449838Z tokenizers  ------------------------------ 14.91 KiB/3.19 MiB 2025-09-09T14:08:54.5450305Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5450618Z  2025-09-09T14:08:54.5450764Z  2025-09-09T14:08:54.5450901Z  2025-09-09T14:08:54.5451115Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.5451466Z nltk  ------------------------------ 0 B/1.44 MiB 2025-09-09T14:08:54.5451880Z tokenizers  ------------------------------ 14.91 KiB/3.19 MiB 2025-09-09T14:08:54.5452331Z virtualenv  ------------------------------ 14.87 KiB/5.71 MiB  2025-09-09T14:08:54.5452668Z  2025-09-09T14:08:54.5452814Z  2025-09-09T14:08:54.5452950Z  2025-09-09T14:08:54.5453161Z ⠙ Preparing packages... 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(0/105) 2025-09-09T14:08:54.7166789Z pre-commit  ------------------------------ 205.73 KiB/215.79 KiB 2025-09-09T14:08:54.7167211Z joblib  ------------------------------ 267.70 KiB/301.17 KiB 2025-09-09T14:08:54.7167778Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7168320Z accelerate  ------------------------------ 366.12 KiB/366.12 KiB 2025-09-09T14:08:54.7168747Z numexpr  ------------------------------ 387.44 KiB/387.44 KiB 2025-09-09T14:08:54.7169176Z pycocotools  ------------------------------ 415.48 KiB/442.95 KiB 2025-09-09T14:08:54.7169598Z distlib  ------------------------------ 458.05 KiB/458.05 KiB 2025-09-09T14:08:54.7170031Z safetensors  ------------------------------ 396.00 KiB/474.45 KiB 2025-09-09T14:08:54.7170459Z datasets  ------------------------------ 302.88 KiB/480.03 KiB 2025-09-09T14:08:54.7170872Z peft  ------------------------------ 270.92 KiB/493.06 KiB 2025-09-09T14:08:54.7171287Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7171708Z hypothesis  ------------------------------ 367.50 KiB/521.11 KiB 2025-09-09T14:08:54.7172160Z huggingface-hub  ------------------------------ 383.29 KiB/548.29 KiB 2025-09-09T14:08:54.7172589Z pyyaml  ------------------------------ 412.90 KiB/720.08 KiB 2025-09-09T14:08:54.7172998Z regex  ------------------------------ 392.80 KiB/770.96 KiB 2025-09-09T14:08:54.7173412Z tiktoken  ------------------------------ 350.91 KiB/1.13 MiB 2025-09-09T14:08:54.7173828Z pygments  ------------------------------ 351.45 KiB/1.17 MiB 2025-09-09T14:08:54.7174262Z sentencepiece  ------------------------------ 382.91 KiB/1.32 MiB 2025-09-09T14:08:54.7174679Z nltk  ------------------------------ 365.61 KiB/1.44 MiB 2025-09-09T14:08:54.7175241Z kiwisolver  ------------------------------ 350.88 KiB/1.53 MiB 2025-09-09T14:08:54.7175678Z aiohttp  ------------------------------ 355.37 KiB/1.56 MiB 2025-09-09T14:08:54.7176114Z pycryptodomex  ------------------------------ 316.98 KiB/2.17 MiB 2025-09-09T14:08:54.7176553Z hf-xet  ------------------------------ 380.15 KiB/3.04 MiB 2025-09-09T14:08:54.7176848Z  2025-09-09T14:08:54.7176993Z  2025-09-09T14:08:54.7177127Z  2025-09-09T14:08:54.7177268Z  2025-09-09T14:08:54.7177402Z  2025-09-09T14:08:54.7177543Z  2025-09-09T14:08:54.7177690Z  2025-09-09T14:08:54.7177835Z  2025-09-09T14:08:54.7177975Z  2025-09-09T14:08:54.7178110Z  2025-09-09T14:08:54.7178252Z  2025-09-09T14:08:54.7178385Z  2025-09-09T14:08:54.7178555Z  2025-09-09T14:08:54.7178692Z  2025-09-09T14:08:54.7178833Z  2025-09-09T14:08:54.7178975Z  2025-09-09T14:08:54.7179114Z  2025-09-09T14:08:54.7179268Z  2025-09-09T14:08:54.7179401Z  2025-09-09T14:08:54.7179542Z  2025-09-09T14:08:54.7179677Z  2025-09-09T14:08:54.7179818Z  2025-09-09T14:08:54.7179951Z  2025-09-09T14:08:54.7180168Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.7180549Z pre-commit  ------------------------------ 215.79 KiB/215.79 KiB 2025-09-09T14:08:54.7180970Z joblib  ------------------------------ 267.70 KiB/301.17 KiB 2025-09-09T14:08:54.7181381Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7181796Z accelerate  ------------------------------ 366.12 KiB/366.12 KiB 2025-09-09T14:08:54.7182521Z pycocotools  ------------------------------ 415.48 KiB/442.95 KiB 2025-09-09T14:08:54.7182952Z distlib  ------------------------------ 458.05 KiB/458.05 KiB 2025-09-09T14:08:54.7183380Z safetensors  ------------------------------ 396.00 KiB/474.45 KiB 2025-09-09T14:08:54.7183824Z datasets  ------------------------------ 302.88 KiB/480.03 KiB 2025-09-09T14:08:54.7184246Z peft  ------------------------------ 286.92 KiB/493.06 KiB 2025-09-09T14:08:54.7184648Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7185199Z hypothesis  ------------------------------ 367.50 KiB/521.11 KiB 2025-09-09T14:08:54.7185670Z huggingface-hub  ------------------------------ 383.29 KiB/548.29 KiB 2025-09-09T14:08:54.7186115Z pyyaml  ------------------------------ 412.90 KiB/720.08 KiB 2025-09-09T14:08:54.7186517Z regex  ------------------------------ 392.80 KiB/770.96 KiB 2025-09-09T14:08:54.7186929Z tiktoken  ------------------------------ 350.91 KiB/1.13 MiB 2025-09-09T14:08:54.7187343Z pygments  ------------------------------ 351.45 KiB/1.17 MiB 2025-09-09T14:08:54.7187777Z sentencepiece  ------------------------------ 382.91 KiB/1.32 MiB 2025-09-09T14:08:54.7188194Z nltk  ------------------------------ 365.61 KiB/1.44 MiB 2025-09-09T14:08:54.7188601Z kiwisolver  ------------------------------ 350.88 KiB/1.53 MiB 2025-09-09T14:08:54.7189022Z aiohttp  ------------------------------ 355.37 KiB/1.56 MiB 2025-09-09T14:08:54.7189450Z pycryptodomex  ------------------------------ 316.98 KiB/2.17 MiB 2025-09-09T14:08:54.7257659Z hf-xet  ------------------------------ 380.15 KiB/3.04 MiB 2025-09-09T14:08:54.7258115Z tokenizers  ------------------------------ 461.30 KiB/3.19 MiB 2025-09-09T14:08:54.7258436Z  2025-09-09T14:08:54.7258584Z  2025-09-09T14:08:54.7258724Z  2025-09-09T14:08:54.7258868Z  2025-09-09T14:08:54.7259006Z  2025-09-09T14:08:54.7259147Z  2025-09-09T14:08:54.7259283Z  2025-09-09T14:08:54.7259429Z  2025-09-09T14:08:54.7259567Z  2025-09-09T14:08:54.7259717Z  2025-09-09T14:08:54.7259853Z  2025-09-09T14:08:54.7260009Z  2025-09-09T14:08:54.7260153Z  2025-09-09T14:08:54.7260332Z  2025-09-09T14:08:54.7260469Z  2025-09-09T14:08:54.7260613Z  2025-09-09T14:08:54.7260750Z  2025-09-09T14:08:54.7260900Z  2025-09-09T14:08:54.7261052Z  2025-09-09T14:08:54.7261194Z  2025-09-09T14:08:54.7261329Z  2025-09-09T14:08:54.7261467Z  2025-09-09T14:08:54.7261605Z  2025-09-09T14:08:54.7261825Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.7262252Z fire  ------------------------------ 0 B/113.23 KiB 2025-09-09T14:08:54.7262645Z dill  ------------------------------ 0 B/113.53 KiB 2025-09-09T14:08:54.7263039Z urllib3  ------------------------------ 0 B/126.75 KiB 2025-09-09T14:08:54.7263431Z absl-py  ------------------------------ 0 B/132.63 KiB 2025-09-09T14:08:54.7263863Z charset-normalizer  ------------------------------ 0 B/148.91 KiB 2025-09-09T14:08:54.7264289Z certifi  ------------------------------ 0 B/157.44 KiB 2025-09-09T14:08:54.7265180Z ninja  ------------------------------ 0 B/176.48 KiB 2025-09-09T14:08:54.7265628Z joblib  ------------------------------ 267.70 KiB/301.17 KiB 2025-09-09T14:08:54.7266091Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7266520Z accelerate  ------------------------------ 366.12 KiB/366.12 KiB 2025-09-09T14:08:54.7266971Z pycocotools  ------------------------------ 431.48 KiB/442.95 KiB 2025-09-09T14:08:54.7267411Z distlib  ------------------------------ 458.05 KiB/458.05 KiB 2025-09-09T14:08:54.7267844Z safetensors  ------------------------------ 399.68 KiB/474.45 KiB 2025-09-09T14:08:54.7268271Z datasets  ------------------------------ 302.88 KiB/480.03 KiB 2025-09-09T14:08:54.7268690Z peft  ------------------------------ 286.92 KiB/493.06 KiB 2025-09-09T14:08:54.7269091Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7269516Z hypothesis  ------------------------------ 383.50 KiB/521.11 KiB 2025-09-09T14:08:54.7269969Z huggingface-hub  ------------------------------ 383.29 KiB/548.29 KiB 2025-09-09T14:08:54.7270402Z pyyaml  ------------------------------ 428.90 KiB/720.08 KiB 2025-09-09T14:08:54.7270806Z regex  ------------------------------ 399.56 KiB/770.96 KiB 2025-09-09T14:08:54.7271215Z tiktoken  ------------------------------ 366.91 KiB/1.13 MiB 2025-09-09T14:08:54.7271637Z pygments  ------------------------------ 351.45 KiB/1.17 MiB 2025-09-09T14:08:54.7272204Z sentencepiece  ------------------------------ 398.91 KiB/1.32 MiB 2025-09-09T14:08:54.7272528Z  2025-09-09T14:08:54.7272677Z  2025-09-09T14:08:54.7272813Z  2025-09-09T14:08:54.7272955Z  2025-09-09T14:08:54.7273091Z  2025-09-09T14:08:54.7273240Z  2025-09-09T14:08:54.7273377Z  2025-09-09T14:08:54.7273533Z  2025-09-09T14:08:54.7273671Z  2025-09-09T14:08:54.7273814Z  2025-09-09T14:08:54.7273950Z  2025-09-09T14:08:54.7274103Z  2025-09-09T14:08:54.7274246Z  2025-09-09T14:08:54.7274393Z  2025-09-09T14:08:54.7274530Z  2025-09-09T14:08:54.7274672Z  2025-09-09T14:08:54.7274815Z  2025-09-09T14:08:54.7275094Z  2025-09-09T14:08:54.7275245Z  2025-09-09T14:08:54.7275402Z  2025-09-09T14:08:54.7275539Z  2025-09-09T14:08:54.7275683Z  2025-09-09T14:08:54.7275822Z  2025-09-09T14:08:54.7276058Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.7276435Z fire  ------------------------------ 16.00 KiB/113.23 KiB 2025-09-09T14:08:54.7276861Z dill  ------------------------------ 16.00 KiB/113.53 KiB 2025-09-09T14:08:54.7277273Z urllib3  ------------------------------ 16.00 KiB/126.75 KiB 2025-09-09T14:08:54.7277697Z multiprocess  ------------------------------ 0 B/130.23 KiB 2025-09-09T14:08:54.7278130Z absl-py  ------------------------------ 6.23 KiB/132.63 KiB 2025-09-09T14:08:54.7278571Z charset-normalizer  ------------------------------ 14.87 KiB/148.91 KiB 2025-09-09T14:08:54.7279036Z certifi  ------------------------------ 14.88 KiB/157.44 KiB 2025-09-09T14:08:54.7279616Z ninja  ------------------------------ 16.00 KiB/176.48 KiB 2025-09-09T14:08:54.7280149Z joblib  ------------------------------ 267.70 KiB/301.17 KiB 2025-09-09T14:08:54.7280573Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7280999Z pycocotools  ------------------------------ 431.48 KiB/442.95 KiB 2025-09-09T14:08:54.7281430Z distlib  ------------------------------ 458.05 KiB/458.05 KiB 2025-09-09T14:08:54.7281858Z safetensors  ------------------------------ 415.68 KiB/474.45 KiB 2025-09-09T14:08:54.7282287Z datasets  ------------------------------ 318.88 KiB/480.03 KiB 2025-09-09T14:08:54.7282697Z peft  ------------------------------ 286.92 KiB/493.06 KiB 2025-09-09T14:08:54.7283093Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7283514Z hypothesis  ------------------------------ 383.50 KiB/521.11 KiB 2025-09-09T14:08:54.7283979Z huggingface-hub  ------------------------------ 383.29 KiB/548.29 KiB 2025-09-09T14:08:54.7284413Z pyyaml  ------------------------------ 444.90 KiB/720.08 KiB 2025-09-09T14:08:54.7284821Z regex  ------------------------------ 399.56 KiB/770.96 KiB 2025-09-09T14:08:54.7285415Z tiktoken  ------------------------------ 382.91 KiB/1.13 MiB 2025-09-09T14:08:54.7285832Z pygments  ------------------------------ 367.45 KiB/1.17 MiB 2025-09-09T14:08:54.7286275Z sentencepiece  ------------------------------ 398.91 KiB/1.32 MiB 2025-09-09T14:08:54.7286591Z  2025-09-09T14:08:54.7286747Z  2025-09-09T14:08:54.7286887Z  2025-09-09T14:08:54.7287046Z  2025-09-09T14:08:54.7287192Z  2025-09-09T14:08:54.7287336Z  2025-09-09T14:08:54.7287472Z  2025-09-09T14:08:54.7287612Z  2025-09-09T14:08:54.7287746Z  2025-09-09T14:08:54.7287899Z  2025-09-09T14:08:54.7288038Z  2025-09-09T14:08:54.7288181Z  2025-09-09T14:08:54.7288317Z  2025-09-09T14:08:54.7288459Z  2025-09-09T14:08:54.7288595Z  2025-09-09T14:08:54.7288736Z  2025-09-09T14:08:54.7288877Z  2025-09-09T14:08:54.7289014Z  2025-09-09T14:08:54.7289158Z  2025-09-09T14:08:54.7289295Z  2025-09-09T14:08:54.7289450Z  2025-09-09T14:08:54.7289587Z  2025-09-09T14:08:54.7289734Z  2025-09-09T14:08:54.7289948Z ⠙ Preparing packages... (0/105) 2025-09-09T14:08:54.7290316Z fire  ------------------------------ 16.00 KiB/113.23 KiB 2025-09-09T14:08:54.7290721Z dill  ------------------------------ 16.00 KiB/113.53 KiB 2025-09-09T14:08:54.7291133Z urllib3  ------------------------------ 16.00 KiB/126.75 KiB 2025-09-09T14:08:54.7291570Z multiprocess  ------------------------------ 0 B/130.23 KiB 2025-09-09T14:08:54.7292007Z absl-py  ------------------------------ 6.23 KiB/132.63 KiB 2025-09-09T14:08:54.7292458Z charset-normalizer  ------------------------------ 14.87 KiB/148.91 KiB 2025-09-09T14:08:54.7292902Z certifi  ------------------------------ 14.88 KiB/157.44 KiB 2025-09-09T14:08:54.7293316Z ninja  ------------------------------ 16.00 KiB/176.48 KiB 2025-09-09T14:08:54.7293730Z joblib  ------------------------------ 267.70 KiB/301.17 KiB 2025-09-09T14:08:54.7294434Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7294868Z pycocotools  ------------------------------ 431.48 KiB/442.95 KiB 2025-09-09T14:08:54.7295514Z safetensors  ------------------------------ 415.68 KiB/474.45 KiB 2025-09-09T14:08:54.7295955Z datasets  ------------------------------ 318.88 KiB/480.03 KiB 2025-09-09T14:08:54.7296369Z peft  ------------------------------ 286.92 KiB/493.06 KiB 2025-09-09T14:08:54.7296770Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7297189Z hypothesis  ------------------------------ 383.50 KiB/521.11 KiB 2025-09-09T14:08:54.7297634Z huggingface-hub  ------------------------------ 383.29 KiB/548.29 KiB 2025-09-09T14:08:54.7298078Z pyyaml  ------------------------------ 444.90 KiB/720.08 KiB 2025-09-09T14:08:54.7298484Z regex  ------------------------------ 399.56 KiB/770.96 KiB 2025-09-09T14:08:54.7298892Z tiktoken  ------------------------------ 382.91 KiB/1.13 MiB 2025-09-09T14:08:54.7299312Z pygments  ------------------------------ 367.45 KiB/1.17 MiB 2025-09-09T14:08:54.7299742Z sentencepiece  ------------------------------ 398.91 KiB/1.32 MiB 2025-09-09T14:08:54.7300177Z nltk  ------------------------------ 365.61 KiB/1.44 MiB 2025-09-09T14:08:54.7300457Z  2025-09-09T14:08:54.7300602Z  2025-09-09T14:08:54.7300744Z  2025-09-09T14:08:54.7300880Z  2025-09-09T14:08:54.7301019Z  2025-09-09T14:08:54.7301169Z  2025-09-09T14:08:54.7301312Z  2025-09-09T14:08:54.7301455Z  2025-09-09T14:08:54.7301597Z  2025-09-09T14:08:54.7301738Z  2025-09-09T14:08:54.7301880Z  2025-09-09T14:08:54.7302014Z  2025-09-09T14:08:54.7302169Z  2025-09-09T14:08:54.7302306Z  2025-09-09T14:08:54.7302449Z  2025-09-09T14:08:54.7302583Z  2025-09-09T14:08:54.7302728Z  2025-09-09T14:08:54.7302862Z  2025-09-09T14:08:54.7303005Z  2025-09-09T14:08:54.7303071Z  2025-09-09T14:08:54.7303143Z  2025-09-09T14:08:54.7303221Z  2025-09-09T14:08:54.7303288Z  2025-09-09T14:08:54.7303434Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.7303629Z fire  ------------------------------ 16.00 KiB/113.23 KiB 2025-09-09T14:08:54.7756801Z dill  ------------------------------ 16.00 KiB/113.53 KiB 2025-09-09T14:08:54.7757075Z urllib3  ------------------------------ 16.00 KiB/126.75 KiB 2025-09-09T14:08:54.7757349Z multiprocess  ------------------------------ 0 B/130.23 KiB 2025-09-09T14:08:54.7757593Z absl-py  ------------------------------ 6.23 KiB/132.63 KiB 2025-09-09T14:08:54.7757883Z charset-normalizer  ------------------------------ 14.87 KiB/148.91 KiB 2025-09-09T14:08:54.7758127Z certifi  ------------------------------ 14.88 KiB/157.44 KiB 2025-09-09T14:08:54.7758356Z ninja  ------------------------------ 16.00 KiB/176.48 KiB 2025-09-09T14:08:54.7758599Z joblib  ------------------------------ 267.70 KiB/301.17 KiB 2025-09-09T14:08:54.7758877Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7759361Z pycocotools  ------------------------------ 431.48 KiB/442.95 KiB 2025-09-09T14:08:54.7759769Z safetensors  ------------------------------ 415.68 KiB/474.45 KiB 2025-09-09T14:08:54.7760021Z datasets  ------------------------------ 318.88 KiB/480.03 KiB 2025-09-09T14:08:54.7760252Z peft  ------------------------------ 286.92 KiB/493.06 KiB 2025-09-09T14:08:54.7760483Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7760737Z hypothesis  ------------------------------ 383.50 KiB/521.11 KiB 2025-09-09T14:08:54.7761006Z huggingface-hub  ------------------------------ 383.29 KiB/548.29 KiB 2025-09-09T14:08:54.7761245Z pyyaml  ------------------------------ 444.90 KiB/720.08 KiB 2025-09-09T14:08:54.7761480Z regex  ------------------------------ 399.56 KiB/770.96 KiB 2025-09-09T14:08:54.7761729Z tiktoken  ------------------------------ 382.91 KiB/1.13 MiB 2025-09-09T14:08:54.7761971Z pygments  ------------------------------ 367.45 KiB/1.17 MiB 2025-09-09T14:08:54.7762229Z sentencepiece  ------------------------------ 398.91 KiB/1.32 MiB 2025-09-09T14:08:54.7762468Z nltk  ------------------------------ 381.61 KiB/1.44 MiB 2025-09-09T14:08:54.7762556Z  2025-09-09T14:08:54.7762638Z  2025-09-09T14:08:54.7762716Z  2025-09-09T14:08:54.7762795Z  2025-09-09T14:08:54.7762879Z  2025-09-09T14:08:54.7762958Z  2025-09-09T14:08:54.7763038Z  2025-09-09T14:08:54.7763131Z  2025-09-09T14:08:54.7763217Z  2025-09-09T14:08:54.7763295Z  2025-09-09T14:08:54.7763372Z  2025-09-09T14:08:54.7763456Z  2025-09-09T14:08:54.7763538Z  2025-09-09T14:08:54.7763619Z  2025-09-09T14:08:54.7763696Z  2025-09-09T14:08:54.7763781Z  2025-09-09T14:08:54.7763859Z  2025-09-09T14:08:54.7763940Z  2025-09-09T14:08:54.7764021Z  2025-09-09T14:08:54.7764098Z  2025-09-09T14:08:54.7764176Z  2025-09-09T14:08:54.7764253Z  2025-09-09T14:08:54.7764335Z  2025-09-09T14:08:54.7764519Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.7764753Z fire  ------------------------------ 32.00 KiB/113.23 KiB 2025-09-09T14:08:54.7765336Z dill  ------------------------------ 64.00 KiB/113.53 KiB 2025-09-09T14:08:54.7765583Z urllib3  ------------------------------ 48.00 KiB/126.75 KiB 2025-09-09T14:08:54.7765841Z multiprocess  ------------------------------ 30.92 KiB/130.23 KiB 2025-09-09T14:08:54.7766092Z absl-py  ------------------------------ 38.23 KiB/132.63 KiB 2025-09-09T14:08:54.7766369Z charset-normalizer  ------------------------------ 62.87 KiB/148.91 KiB 2025-09-09T14:08:54.7766604Z certifi  ------------------------------ 76.59 KiB/157.44 KiB 2025-09-09T14:08:54.7766838Z ninja  ------------------------------ 61.71 KiB/176.48 KiB 2025-09-09T14:08:54.7767082Z joblib  ------------------------------ 271.70 KiB/301.17 KiB 2025-09-09T14:08:54.7767273Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7767486Z safetensors  ------------------------------ 463.68 KiB/474.45 KiB 2025-09-09T14:08:54.7767703Z datasets  ------------------------------ 318.88 KiB/480.03 KiB 2025-09-09T14:08:54.7768174Z peft  ------------------------------ 302.92 KiB/493.06 KiB 2025-09-09T14:08:54.7768373Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7768605Z hypothesis  ------------------------------ 431.60 KiB/521.11 KiB 2025-09-09T14:08:54.7768835Z huggingface-hub  ------------------------------ 399.29 KiB/548.29 KiB 2025-09-09T14:08:54.7769033Z pyyaml  ------------------------------ 508.68 KiB/720.08 KiB 2025-09-09T14:08:54.7769232Z regex  ------------------------------ 479.56 KiB/770.96 KiB 2025-09-09T14:08:54.7769435Z tiktoken  ------------------------------ 430.91 KiB/1.13 MiB 2025-09-09T14:08:54.7769637Z pygments  ------------------------------ 399.45 KiB/1.17 MiB 2025-09-09T14:08:54.7769862Z sentencepiece  ------------------------------ 460.39 KiB/1.32 MiB 2025-09-09T14:08:54.7770050Z nltk  ------------------------------ 397.50 KiB/1.44 MiB 2025-09-09T14:08:54.7770271Z kiwisolver  ------------------------------ 408.56 KiB/1.53 MiB 2025-09-09T14:08:54.7770349Z  2025-09-09T14:08:54.7770418Z  2025-09-09T14:08:54.7770486Z  2025-09-09T14:08:54.7770556Z  2025-09-09T14:08:54.7770629Z  2025-09-09T14:08:54.7770697Z  2025-09-09T14:08:54.7770764Z  2025-09-09T14:08:54.7770831Z  2025-09-09T14:08:54.7770916Z  2025-09-09T14:08:54.7770987Z  2025-09-09T14:08:54.7771056Z  2025-09-09T14:08:54.7771130Z  2025-09-09T14:08:54.7771197Z  2025-09-09T14:08:54.7771267Z  2025-09-09T14:08:54.7771334Z  2025-09-09T14:08:54.7771409Z  2025-09-09T14:08:54.7771476Z  2025-09-09T14:08:54.7771547Z  2025-09-09T14:08:54.7771630Z  2025-09-09T14:08:54.7771706Z  2025-09-09T14:08:54.7771774Z  2025-09-09T14:08:54.7771842Z  2025-09-09T14:08:54.7771915Z  2025-09-09T14:08:54.7772066Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.7772270Z fire  ------------------------------ 48.00 KiB/113.23 KiB 2025-09-09T14:08:54.7772471Z dill  ------------------------------ 80.00 KiB/113.53 KiB 2025-09-09T14:08:54.7772673Z urllib3  ------------------------------ 79.03 KiB/126.75 KiB 2025-09-09T14:08:54.7772889Z multiprocess  ------------------------------ 62.92 KiB/130.23 KiB 2025-09-09T14:08:54.7773085Z absl-py  ------------------------------ 79.14 KiB/132.63 KiB 2025-09-09T14:08:54.7773332Z charset-normalizer  ------------------------------ 109.20 KiB/148.91 KiB 2025-09-09T14:08:54.7773544Z certifi  ------------------------------ 108.59 KiB/157.44 KiB 2025-09-09T14:08:54.7773735Z ninja  ------------------------------ 93.71 KiB/176.48 KiB 2025-09-09T14:08:54.7773941Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.7774133Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7774337Z datasets  ------------------------------ 318.88 KiB/480.03 KiB 2025-09-09T14:08:54.7774536Z peft  ------------------------------ 314.80 KiB/493.06 KiB 2025-09-09T14:08:54.7774732Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7775106Z hypothesis  ------------------------------ 447.60 KiB/521.11 KiB 2025-09-09T14:08:54.7775652Z huggingface-hub  ------------------------------ 399.29 KiB/548.29 KiB 2025-09-09T14:08:54.7775873Z pyyaml  ------------------------------ 524.90 KiB/720.08 KiB 2025-09-09T14:08:54.7776073Z regex  ------------------------------ 498.15 KiB/770.96 KiB 2025-09-09T14:08:54.7776287Z tiktoken  ------------------------------ 464.55 KiB/1.13 MiB 2025-09-09T14:08:54.7776490Z pygments  ------------------------------ 431.45 KiB/1.17 MiB 2025-09-09T14:08:54.7776708Z sentencepiece  ------------------------------ 494.91 KiB/1.32 MiB 2025-09-09T14:08:54.7776910Z nltk  ------------------------------ 429.61 KiB/1.44 MiB 2025-09-09T14:08:54.7777118Z kiwisolver  ------------------------------ 456.56 KiB/1.53 MiB 2025-09-09T14:08:54.7777336Z aiohttp  ------------------------------ 472.56 KiB/1.56 MiB 2025-09-09T14:08:54.7777418Z  2025-09-09T14:08:54.7777487Z  2025-09-09T14:08:54.7777555Z  2025-09-09T14:08:54.7777626Z  2025-09-09T14:08:54.7777700Z  2025-09-09T14:08:54.7777769Z  2025-09-09T14:08:54.7777838Z  2025-09-09T14:08:54.7777906Z  2025-09-09T14:08:54.7777979Z  2025-09-09T14:08:54.7778047Z  2025-09-09T14:08:54.7778115Z  2025-09-09T14:08:54.7778187Z  2025-09-09T14:08:54.7778255Z  2025-09-09T14:08:54.7778322Z  2025-09-09T14:08:54.7778389Z  2025-09-09T14:08:54.7778462Z  2025-09-09T14:08:54.7778531Z  2025-09-09T14:08:54.7778598Z  2025-09-09T14:08:54.7778664Z  2025-09-09T14:08:54.7778737Z  2025-09-09T14:08:54.7778802Z  2025-09-09T14:08:54.7778868Z  2025-09-09T14:08:54.7778938Z  2025-09-09T14:08:54.7779097Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.7779308Z blobfile  ------------------------------ 30.88 KiB/73.97 KiB 2025-09-09T14:08:54.7779499Z tqdm  ------------------------------ 14.88 KiB/76.70 KiB 2025-09-09T14:08:54.7779694Z evaluate  ------------------------------ 14.91 KiB/82.13 KiB 2025-09-09T14:08:54.7779906Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.7780096Z click  ------------------------------ 30.88 KiB/95.89 KiB 2025-09-09T14:08:54.7780317Z identify  ------------------------------ 64.00 KiB/96.85 KiB 2025-09-09T14:08:54.7780524Z sacrebleu  ------------------------------ 14.91 KiB/101.67 KiB 2025-09-09T14:08:54.7879411Z pyparsing  ------------------------------ 46.88 KiB/108.52 KiB 2025-09-09T14:08:54.7879621Z fire  ------------------------------ 80.00 KiB/113.23 KiB 2025-09-09T14:08:54.7879815Z dill  ------------------------------ 96.00 KiB/113.53 KiB 2025-09-09T14:08:54.7880017Z urllib3  ------------------------------ 95.03 KiB/126.75 KiB 2025-09-09T14:08:54.7880233Z multiprocess  ------------------------------ 78.92 KiB/130.23 KiB 2025-09-09T14:08:54.7880434Z absl-py  ------------------------------ 127.79 KiB/132.63 KiB 2025-09-09T14:08:54.7880668Z charset-normalizer  ------------------------------ 148.91 KiB/148.91 KiB 2025-09-09T14:08:54.7880867Z certifi  ------------------------------ 156.59 KiB/157.44 KiB 2025-09-09T14:08:54.7881228Z ninja  ------------------------------ 176.48 KiB/176.48 KiB 2025-09-09T14:08:54.7881545Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.7881749Z tzdata  ------------------------------ 92.96 KiB/339.69 KiB 2025-09-09T14:08:54.7881951Z datasets  ------------------------------ 334.88 KiB/480.03 KiB 2025-09-09T14:08:54.7882138Z peft  ------------------------------ 334.92 KiB/493.06 KiB 2025-09-09T14:08:54.7882328Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7882537Z hypothesis  ------------------------------ 495.60 KiB/521.11 KiB 2025-09-09T14:08:54.7882775Z huggingface-hub  ------------------------------ 415.29 KiB/548.29 KiB 2025-09-09T14:08:54.7882888Z  2025-09-09T14:08:54.7882959Z  2025-09-09T14:08:54.7883035Z  2025-09-09T14:08:54.7883102Z  2025-09-09T14:08:54.7883170Z  2025-09-09T14:08:54.7883242Z  2025-09-09T14:08:54.7883310Z  2025-09-09T14:08:54.7883378Z  2025-09-09T14:08:54.7883445Z  2025-09-09T14:08:54.7883520Z  2025-09-09T14:08:54.7883586Z  2025-09-09T14:08:54.7883654Z  2025-09-09T14:08:54.7883720Z  2025-09-09T14:08:54.7883792Z  2025-09-09T14:08:54.7883859Z  2025-09-09T14:08:54.7883925Z  2025-09-09T14:08:54.7883998Z  2025-09-09T14:08:54.7884064Z  2025-09-09T14:08:54.7884131Z  2025-09-09T14:08:54.7884199Z  2025-09-09T14:08:54.7884272Z  2025-09-09T14:08:54.7884339Z  2025-09-09T14:08:54.7884405Z  2025-09-09T14:08:54.7884552Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.7884776Z blobfile  ------------------------------ 62.88 KiB/73.97 KiB 2025-09-09T14:08:54.7885137Z tqdm  ------------------------------ 14.88 KiB/76.70 KiB 2025-09-09T14:08:54.7885354Z evaluate  ------------------------------ 30.91 KiB/82.13 KiB 2025-09-09T14:08:54.7885575Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.7885767Z click  ------------------------------ 46.88 KiB/95.89 KiB 2025-09-09T14:08:54.7885963Z identify  ------------------------------ 64.00 KiB/96.85 KiB 2025-09-09T14:08:54.7886172Z sacrebleu  ------------------------------ 30.91 KiB/101.67 KiB 2025-09-09T14:08:54.7886375Z pyparsing  ------------------------------ 62.88 KiB/108.52 KiB 2025-09-09T14:08:54.7886561Z fire  ------------------------------ 80.00 KiB/113.23 KiB 2025-09-09T14:08:54.7886772Z dill  ------------------------------ 96.00 KiB/113.53 KiB 2025-09-09T14:08:54.7886968Z urllib3  ------------------------------ 98.24 KiB/126.75 KiB 2025-09-09T14:08:54.7887184Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.7887422Z charset-normalizer  ------------------------------ 148.91 KiB/148.91 KiB 2025-09-09T14:08:54.7887619Z certifi  ------------------------------ 156.59 KiB/157.44 KiB 2025-09-09T14:08:54.7887806Z ninja  ------------------------------ 176.48 KiB/176.48 KiB 2025-09-09T14:08:54.7888017Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.7888214Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.7888695Z datasets  ------------------------------ 350.88 KiB/480.03 KiB 2025-09-09T14:08:54.7888908Z peft  ------------------------------ 350.98 KiB/493.06 KiB 2025-09-09T14:08:54.7889100Z pytz  ------------------------------ 124.51 KiB/497.29 KiB 2025-09-09T14:08:54.7889307Z hypothesis  ------------------------------ 511.60 KiB/521.11 KiB 2025-09-09T14:08:54.7889528Z huggingface-hub  ------------------------------ 415.29 KiB/548.29 KiB 2025-09-09T14:08:54.7889742Z pyyaml  ------------------------------ 636.90 KiB/720.08 KiB 2025-09-09T14:08:54.7889814Z  2025-09-09T14:08:54.7889882Z  2025-09-09T14:08:54.7889956Z  2025-09-09T14:08:54.7890024Z  2025-09-09T14:08:54.7890092Z  2025-09-09T14:08:54.7890160Z  2025-09-09T14:08:54.7890233Z  2025-09-09T14:08:54.7890307Z  2025-09-09T14:08:54.7890375Z  2025-09-09T14:08:54.7890450Z  2025-09-09T14:08:54.7890515Z  2025-09-09T14:08:54.7890582Z  2025-09-09T14:08:54.7890650Z  2025-09-09T14:08:54.7890724Z  2025-09-09T14:08:54.7890790Z  2025-09-09T14:08:54.7890867Z  2025-09-09T14:08:54.7890942Z  2025-09-09T14:08:54.7891008Z  2025-09-09T14:08:54.7891075Z  2025-09-09T14:08:54.7891142Z  2025-09-09T14:08:54.7891214Z  2025-09-09T14:08:54.7891291Z  2025-09-09T14:08:54.7891361Z  2025-09-09T14:08:54.7891504Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.7891731Z more-itertools  ------------------------------ 0 B/68.03 KiB 2025-09-09T14:08:54.7891912Z idna  ------------------------------ 0 B/68.79 KiB 2025-09-09T14:08:54.7892119Z blobfile  ------------------------------ 73.97 KiB/73.97 KiB 2025-09-09T14:08:54.7892313Z tqdm  ------------------------------ 14.88 KiB/76.70 KiB 2025-09-09T14:08:54.7892508Z evaluate  ------------------------------ 46.91 KiB/82.13 KiB 2025-09-09T14:08:54.7892720Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.7892912Z click  ------------------------------ 62.88 KiB/95.89 KiB 2025-09-09T14:08:54.7893110Z identify  ------------------------------ 95.89 KiB/96.85 KiB 2025-09-09T14:08:54.7893312Z sacrebleu  ------------------------------ 46.91 KiB/101.67 KiB 2025-09-09T14:08:54.7893522Z pyparsing  ------------------------------ 78.88 KiB/108.52 KiB 2025-09-09T14:08:54.7893709Z fire  ------------------------------ 80.00 KiB/113.23 KiB 2025-09-09T14:08:54.7893898Z dill  ------------------------------ 96.00 KiB/113.53 KiB 2025-09-09T14:08:54.7894102Z urllib3  ------------------------------ 114.24 KiB/126.75 KiB 2025-09-09T14:08:54.7894313Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.7894507Z certifi  ------------------------------ 157.44 KiB/157.44 KiB 2025-09-09T14:08:54.7894701Z ninja  ------------------------------ 176.48 KiB/176.48 KiB 2025-09-09T14:08:54.7894894Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.7895244Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.7895451Z datasets  ------------------------------ 350.88 KiB/480.03 KiB 2025-09-09T14:08:54.7895912Z peft  ------------------------------ 350.98 KiB/493.06 KiB 2025-09-09T14:08:54.7896114Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.7896324Z hypothesis  ------------------------------ 511.60 KiB/521.11 KiB 2025-09-09T14:08:54.7896564Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.7896633Z  2025-09-09T14:08:54.7896705Z  2025-09-09T14:08:54.7896780Z  2025-09-09T14:08:54.7896846Z  2025-09-09T14:08:54.7896913Z  2025-09-09T14:08:54.7896980Z  2025-09-09T14:08:54.7897053Z  2025-09-09T14:08:54.7897117Z  2025-09-09T14:08:54.7897181Z  2025-09-09T14:08:54.7897253Z  2025-09-09T14:08:54.7897321Z  2025-09-09T14:08:54.7897387Z  2025-09-09T14:08:54.7897469Z  2025-09-09T14:08:54.7897546Z  2025-09-09T14:08:54.7897616Z  2025-09-09T14:08:54.7897683Z  2025-09-09T14:08:54.7897751Z  2025-09-09T14:08:54.7897827Z  2025-09-09T14:08:54.7897895Z  2025-09-09T14:08:54.7897973Z  2025-09-09T14:08:54.7898049Z  2025-09-09T14:08:54.7898119Z  2025-09-09T14:08:54.7898186Z  2025-09-09T14:08:54.7898326Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.7898548Z more-itertools  ------------------------------ 0 B/68.03 KiB 2025-09-09T14:08:54.7898727Z idna  ------------------------------ 0 B/68.79 KiB 2025-09-09T14:08:54.7898927Z blobfile  ------------------------------ 73.97 KiB/73.97 KiB 2025-09-09T14:08:54.7899116Z tqdm  ------------------------------ 14.88 KiB/76.70 KiB 2025-09-09T14:08:54.7899316Z evaluate  ------------------------------ 46.91 KiB/82.13 KiB 2025-09-09T14:08:54.7899533Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.7899727Z click  ------------------------------ 62.88 KiB/95.89 KiB 2025-09-09T14:08:54.7899935Z identify  ------------------------------ 95.89 KiB/96.85 KiB 2025-09-09T14:08:54.7900139Z sacrebleu  ------------------------------ 46.91 KiB/101.67 KiB 2025-09-09T14:08:54.7900350Z pyparsing  ------------------------------ 78.88 KiB/108.52 KiB 2025-09-09T14:08:54.7900534Z fire  ------------------------------ 80.00 KiB/113.23 KiB 2025-09-09T14:08:54.7900717Z dill  ------------------------------ 96.00 KiB/113.53 KiB 2025-09-09T14:08:54.7900923Z urllib3  ------------------------------ 114.24 KiB/126.75 KiB 2025-09-09T14:08:54.8024692Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.8024915Z certifi  ------------------------------ 157.44 KiB/157.44 KiB 2025-09-09T14:08:54.8025286Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.8025488Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8025702Z datasets  ------------------------------ 350.88 KiB/480.03 KiB 2025-09-09T14:08:54.8025900Z peft  ------------------------------ 350.98 KiB/493.06 KiB 2025-09-09T14:08:54.8026087Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8026533Z hypothesis  ------------------------------ 511.60 KiB/521.11 KiB 2025-09-09T14:08:54.8026920Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8027136Z pyyaml  ------------------------------ 668.30 KiB/720.08 KiB 2025-09-09T14:08:54.8027211Z  2025-09-09T14:08:54.8027280Z  2025-09-09T14:08:54.8027358Z  2025-09-09T14:08:54.8027426Z  2025-09-09T14:08:54.8027494Z  2025-09-09T14:08:54.8027567Z  2025-09-09T14:08:54.8027638Z  2025-09-09T14:08:54.8027706Z  2025-09-09T14:08:54.8027772Z  2025-09-09T14:08:54.8027846Z  2025-09-09T14:08:54.8027912Z  2025-09-09T14:08:54.8027979Z  2025-09-09T14:08:54.8028048Z  2025-09-09T14:08:54.8028122Z  2025-09-09T14:08:54.8028190Z  2025-09-09T14:08:54.8028258Z  2025-09-09T14:08:54.8028342Z  2025-09-09T14:08:54.8028411Z  2025-09-09T14:08:54.8028513Z  2025-09-09T14:08:54.8028587Z  2025-09-09T14:08:54.8028654Z  2025-09-09T14:08:54.8028721Z  2025-09-09T14:08:54.8028792Z  2025-09-09T14:08:54.8028951Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8029176Z more-itertools  ------------------------------ 0 B/68.03 KiB 2025-09-09T14:08:54.8029355Z idna  ------------------------------ 0 B/68.79 KiB 2025-09-09T14:08:54.8029560Z blobfile  ------------------------------ 73.97 KiB/73.97 KiB 2025-09-09T14:08:54.8029745Z tqdm  ------------------------------ 14.88 KiB/76.70 KiB 2025-09-09T14:08:54.8029942Z evaluate  ------------------------------ 46.91 KiB/82.13 KiB 2025-09-09T14:08:54.8030168Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8030368Z click  ------------------------------ 62.88 KiB/95.89 KiB 2025-09-09T14:08:54.8030562Z identify  ------------------------------ 95.89 KiB/96.85 KiB 2025-09-09T14:08:54.8030772Z sacrebleu  ------------------------------ 46.91 KiB/101.67 KiB 2025-09-09T14:08:54.8030974Z pyparsing  ------------------------------ 78.88 KiB/108.52 KiB 2025-09-09T14:08:54.8031156Z fire  ------------------------------ 80.00 KiB/113.23 KiB 2025-09-09T14:08:54.8031344Z dill  ------------------------------ 96.00 KiB/113.53 KiB 2025-09-09T14:08:54.8031540Z urllib3  ------------------------------ 114.24 KiB/126.75 KiB 2025-09-09T14:08:54.8031749Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.8032060Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.8032261Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8032458Z datasets  ------------------------------ 350.88 KiB/480.03 KiB 2025-09-09T14:08:54.8032648Z peft  ------------------------------ 350.98 KiB/493.06 KiB 2025-09-09T14:08:54.8032834Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8033041Z hypothesis  ------------------------------ 511.60 KiB/521.11 KiB 2025-09-09T14:08:54.8033264Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8033463Z pyyaml  ------------------------------ 668.30 KiB/720.08 KiB 2025-09-09T14:08:54.8033870Z regex  ------------------------------ 623.56 KiB/770.96 KiB 2025-09-09T14:08:54.8033946Z  2025-09-09T14:08:54.8034022Z  2025-09-09T14:08:54.8034102Z  2025-09-09T14:08:54.8034171Z  2025-09-09T14:08:54.8034245Z  2025-09-09T14:08:54.8034313Z  2025-09-09T14:08:54.8034379Z  2025-09-09T14:08:54.8034446Z  2025-09-09T14:08:54.8034518Z  2025-09-09T14:08:54.8034583Z  2025-09-09T14:08:54.8034648Z  2025-09-09T14:08:54.8034714Z  2025-09-09T14:08:54.8034788Z  2025-09-09T14:08:54.8034855Z  2025-09-09T14:08:54.8034920Z  2025-09-09T14:08:54.8035173Z  2025-09-09T14:08:54.8035243Z  2025-09-09T14:08:54.8035322Z  2025-09-09T14:08:54.8035393Z  2025-09-09T14:08:54.8035467Z  2025-09-09T14:08:54.8035533Z  2025-09-09T14:08:54.8035599Z  2025-09-09T14:08:54.8035670Z  2025-09-09T14:08:54.8035839Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8036063Z more-itertools  ------------------------------ 46.87 KiB/68.03 KiB 2025-09-09T14:08:54.8036247Z idna  ------------------------------ 14.88 KiB/68.79 KiB 2025-09-09T14:08:54.8036448Z blobfile  ------------------------------ 73.97 KiB/73.97 KiB 2025-09-09T14:08:54.8036628Z tqdm  ------------------------------ 14.88 KiB/76.70 KiB 2025-09-09T14:08:54.8036830Z evaluate  ------------------------------ 46.91 KiB/82.13 KiB 2025-09-09T14:08:54.8037048Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8037232Z click  ------------------------------ 78.88 KiB/95.89 KiB 2025-09-09T14:08:54.8037428Z identify  ------------------------------ 95.89 KiB/96.85 KiB 2025-09-09T14:08:54.8037637Z sacrebleu  ------------------------------ 46.91 KiB/101.67 KiB 2025-09-09T14:08:54.8037841Z pyparsing  ------------------------------ 94.88 KiB/108.52 KiB 2025-09-09T14:08:54.8038026Z fire  ------------------------------ 96.00 KiB/113.23 KiB 2025-09-09T14:08:54.8038219Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8038427Z urllib3  ------------------------------ 126.75 KiB/126.75 KiB 2025-09-09T14:08:54.8038643Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.8038846Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.8039040Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8039241Z datasets  ------------------------------ 350.88 KiB/480.03 KiB 2025-09-09T14:08:54.8039431Z peft  ------------------------------ 366.98 KiB/493.06 KiB 2025-09-09T14:08:54.8039615Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8039836Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8040029Z pyyaml  ------------------------------ 700.90 KiB/720.08 KiB 2025-09-09T14:08:54.8040225Z regex  ------------------------------ 671.56 KiB/770.96 KiB 2025-09-09T14:08:54.8040437Z tiktoken  ------------------------------ 622.91 KiB/1.13 MiB 2025-09-09T14:08:54.8040507Z  2025-09-09T14:08:54.8040581Z  2025-09-09T14:08:54.8040915Z  2025-09-09T14:08:54.8040988Z  2025-09-09T14:08:54.8041063Z  2025-09-09T14:08:54.8041129Z  2025-09-09T14:08:54.8041207Z  2025-09-09T14:08:54.8041275Z  2025-09-09T14:08:54.8041350Z  2025-09-09T14:08:54.8041420Z  2025-09-09T14:08:54.8041489Z  2025-09-09T14:08:54.8041555Z  2025-09-09T14:08:54.8041629Z  2025-09-09T14:08:54.8041696Z  2025-09-09T14:08:54.8041765Z  2025-09-09T14:08:54.8041838Z  2025-09-09T14:08:54.8041904Z  2025-09-09T14:08:54.8041971Z  2025-09-09T14:08:54.8042036Z  2025-09-09T14:08:54.8042107Z  2025-09-09T14:08:54.8042172Z  2025-09-09T14:08:54.8042237Z  2025-09-09T14:08:54.8042302Z  2025-09-09T14:08:54.8042450Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8042666Z more-itertools  ------------------------------ 62.87 KiB/68.03 KiB 2025-09-09T14:08:54.8042872Z idna  ------------------------------ 30.88 KiB/68.79 KiB 2025-09-09T14:08:54.8043063Z tqdm  ------------------------------ 46.88 KiB/76.70 KiB 2025-09-09T14:08:54.8043257Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8043466Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8043657Z click  ------------------------------ 94.88 KiB/95.89 KiB 2025-09-09T14:08:54.8043849Z identify  ------------------------------ 96.85 KiB/96.85 KiB 2025-09-09T14:08:54.8044048Z sacrebleu  ------------------------------ 46.91 KiB/101.67 KiB 2025-09-09T14:08:54.8044258Z pyparsing  ------------------------------ 108.52 KiB/108.52 KiB 2025-09-09T14:08:54.8044447Z fire  ------------------------------ 96.00 KiB/113.23 KiB 2025-09-09T14:08:54.8044635Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8044836Z urllib3  ------------------------------ 126.75 KiB/126.75 KiB 2025-09-09T14:08:54.8045223Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.8045422Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.8045618Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8045820Z datasets  ------------------------------ 366.88 KiB/480.03 KiB 2025-09-09T14:08:54.8046006Z peft  ------------------------------ 366.98 KiB/493.06 KiB 2025-09-09T14:08:54.8046197Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8046422Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8157487Z pyyaml  ------------------------------ 700.90 KiB/720.08 KiB 2025-09-09T14:08:54.8157708Z regex  ------------------------------ 687.56 KiB/770.96 KiB 2025-09-09T14:08:54.8157922Z tiktoken  ------------------------------ 638.91 KiB/1.13 MiB 2025-09-09T14:08:54.8158135Z pygments  ------------------------------ 495.45 KiB/1.17 MiB 2025-09-09T14:08:54.8158256Z  2025-09-09T14:08:54.8158324Z  2025-09-09T14:08:54.8158398Z  2025-09-09T14:08:54.8158466Z  2025-09-09T14:08:54.8158534Z  2025-09-09T14:08:54.8158600Z  2025-09-09T14:08:54.8158671Z  2025-09-09T14:08:54.8158934Z  2025-09-09T14:08:54.8159142Z  2025-09-09T14:08:54.8159211Z  2025-09-09T14:08:54.8159285Z  2025-09-09T14:08:54.8159352Z  2025-09-09T14:08:54.8159420Z  2025-09-09T14:08:54.8159491Z  2025-09-09T14:08:54.8159556Z  2025-09-09T14:08:54.8159636Z  2025-09-09T14:08:54.8159703Z  2025-09-09T14:08:54.8159782Z  2025-09-09T14:08:54.8159850Z  2025-09-09T14:08:54.8159918Z  2025-09-09T14:08:54.8159986Z  2025-09-09T14:08:54.8160063Z  2025-09-09T14:08:54.8160129Z  2025-09-09T14:08:54.8160286Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8160515Z more-itertools  ------------------------------ 62.87 KiB/68.03 KiB 2025-09-09T14:08:54.8160702Z idna  ------------------------------ 30.88 KiB/68.79 KiB 2025-09-09T14:08:54.8160882Z tqdm  ------------------------------ 46.88 KiB/76.70 KiB 2025-09-09T14:08:54.8161095Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8161307Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8161501Z click  ------------------------------ 94.88 KiB/95.89 KiB 2025-09-09T14:08:54.8161710Z sacrebleu  ------------------------------ 46.91 KiB/101.67 KiB 2025-09-09T14:08:54.8161914Z pyparsing  ------------------------------ 108.52 KiB/108.52 KiB 2025-09-09T14:08:54.8162112Z fire  ------------------------------ 96.00 KiB/113.23 KiB 2025-09-09T14:08:54.8162306Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8162518Z urllib3  ------------------------------ 126.75 KiB/126.75 KiB 2025-09-09T14:08:54.8162741Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.8162935Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.8163132Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8163333Z datasets  ------------------------------ 366.88 KiB/480.03 KiB 2025-09-09T14:08:54.8163518Z peft  ------------------------------ 366.98 KiB/493.06 KiB 2025-09-09T14:08:54.8163715Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8163939Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8164137Z pyyaml  ------------------------------ 700.90 KiB/720.08 KiB 2025-09-09T14:08:54.8164341Z regex  ------------------------------ 687.56 KiB/770.96 KiB 2025-09-09T14:08:54.8164547Z tiktoken  ------------------------------ 638.91 KiB/1.13 MiB 2025-09-09T14:08:54.8164745Z pygments  ------------------------------ 495.45 KiB/1.17 MiB 2025-09-09T14:08:54.8165170Z sentencepiece  ------------------------------ 641.18 KiB/1.32 MiB 2025-09-09T14:08:54.8165251Z  2025-09-09T14:08:54.8165321Z  2025-09-09T14:08:54.8165388Z  2025-09-09T14:08:54.8165463Z  2025-09-09T14:08:54.8165542Z  2025-09-09T14:08:54.8165612Z  2025-09-09T14:08:54.8165686Z  2025-09-09T14:08:54.8165755Z  2025-09-09T14:08:54.8165824Z  2025-09-09T14:08:54.8165892Z  2025-09-09T14:08:54.8165966Z  2025-09-09T14:08:54.8166034Z  2025-09-09T14:08:54.8166259Z  2025-09-09T14:08:54.8166452Z  2025-09-09T14:08:54.8166525Z  2025-09-09T14:08:54.8166605Z  2025-09-09T14:08:54.8166682Z  2025-09-09T14:08:54.8166759Z  2025-09-09T14:08:54.8166827Z  2025-09-09T14:08:54.8166896Z  2025-09-09T14:08:54.8166964Z  2025-09-09T14:08:54.8167040Z  2025-09-09T14:08:54.8167107Z  2025-09-09T14:08:54.8167259Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8167485Z more-itertools  ------------------------------ 62.87 KiB/68.03 KiB 2025-09-09T14:08:54.8167672Z idna  ------------------------------ 62.88 KiB/68.79 KiB 2025-09-09T14:08:54.8167853Z tqdm  ------------------------------ 46.88 KiB/76.70 KiB 2025-09-09T14:08:54.8168054Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8168268Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8168459Z click  ------------------------------ 94.88 KiB/95.89 KiB 2025-09-09T14:08:54.8168673Z sacrebleu  ------------------------------ 62.91 KiB/101.67 KiB 2025-09-09T14:08:54.8168879Z pyparsing  ------------------------------ 108.52 KiB/108.52 KiB 2025-09-09T14:08:54.8169065Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8169248Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8169465Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.8169670Z joblib  ------------------------------ 287.70 KiB/301.17 KiB 2025-09-09T14:08:54.8169868Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8170076Z datasets  ------------------------------ 366.88 KiB/480.03 KiB 2025-09-09T14:08:54.8170269Z peft  ------------------------------ 366.98 KiB/493.06 KiB 2025-09-09T14:08:54.8170455Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8170687Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8170878Z pyyaml  ------------------------------ 716.90 KiB/720.08 KiB 2025-09-09T14:08:54.8171065Z regex  ------------------------------ 700.64 KiB/770.96 KiB 2025-09-09T14:08:54.8171266Z tiktoken  ------------------------------ 654.91 KiB/1.13 MiB 2025-09-09T14:08:54.8171468Z pygments  ------------------------------ 511.45 KiB/1.17 MiB 2025-09-09T14:08:54.8171683Z sentencepiece  ------------------------------ 654.91 KiB/1.32 MiB 2025-09-09T14:08:54.8171884Z nltk  ------------------------------ 509.61 KiB/1.44 MiB 2025-09-09T14:08:54.8171957Z  2025-09-09T14:08:54.8172025Z  2025-09-09T14:08:54.8172092Z  2025-09-09T14:08:54.8172166Z  2025-09-09T14:08:54.8172233Z  2025-09-09T14:08:54.8172301Z  2025-09-09T14:08:54.8172384Z  2025-09-09T14:08:54.8172453Z  2025-09-09T14:08:54.8172521Z  2025-09-09T14:08:54.8172588Z  2025-09-09T14:08:54.8172661Z  2025-09-09T14:08:54.8172728Z  2025-09-09T14:08:54.8172794Z  2025-09-09T14:08:54.8172861Z  2025-09-09T14:08:54.8172933Z  2025-09-09T14:08:54.8173001Z  2025-09-09T14:08:54.8173067Z  2025-09-09T14:08:54.8173151Z  2025-09-09T14:08:54.8173329Z  2025-09-09T14:08:54.8173479Z  2025-09-09T14:08:54.8173551Z  2025-09-09T14:08:54.8173628Z  2025-09-09T14:08:54.8173695Z  2025-09-09T14:08:54.8173836Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8174061Z more-itertools  ------------------------------ 62.87 KiB/68.03 KiB 2025-09-09T14:08:54.8174245Z idna  ------------------------------ 62.88 KiB/68.79 KiB 2025-09-09T14:08:54.8174428Z tqdm  ------------------------------ 46.88 KiB/76.70 KiB 2025-09-09T14:08:54.8174630Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8174841Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8175209Z click  ------------------------------ 94.88 KiB/95.89 KiB 2025-09-09T14:08:54.8175432Z sacrebleu  ------------------------------ 62.91 KiB/101.67 KiB 2025-09-09T14:08:54.8175645Z pyparsing  ------------------------------ 108.52 KiB/108.52 KiB 2025-09-09T14:08:54.8175831Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8176016Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8176235Z multiprocess  ------------------------------ 126.70 KiB/130.23 KiB 2025-09-09T14:08:54.8176429Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8176628Z datasets  ------------------------------ 366.88 KiB/480.03 KiB 2025-09-09T14:08:54.8176840Z peft  ------------------------------ 366.98 KiB/493.06 KiB 2025-09-09T14:08:54.8177038Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8177263Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8177466Z pyyaml  ------------------------------ 716.90 KiB/720.08 KiB 2025-09-09T14:08:54.8177657Z regex  ------------------------------ 716.64 KiB/770.96 KiB 2025-09-09T14:08:54.8177855Z tiktoken  ------------------------------ 686.91 KiB/1.13 MiB 2025-09-09T14:08:54.8178062Z pygments  ------------------------------ 511.45 KiB/1.17 MiB 2025-09-09T14:08:54.8178280Z sentencepiece  ------------------------------ 670.91 KiB/1.32 MiB 2025-09-09T14:08:54.8178466Z nltk  ------------------------------ 509.61 KiB/1.44 MiB 2025-09-09T14:08:54.8178696Z kiwisolver  ------------------------------ 648.56 KiB/1.53 MiB 2025-09-09T14:08:54.8178768Z  2025-09-09T14:08:54.8178837Z  2025-09-09T14:08:54.8178915Z  2025-09-09T14:08:54.8178991Z  2025-09-09T14:08:54.8179059Z  2025-09-09T14:08:54.8179126Z  2025-09-09T14:08:54.8179198Z  2025-09-09T14:08:54.8179267Z  2025-09-09T14:08:54.8179336Z  2025-09-09T14:08:54.8179402Z  2025-09-09T14:08:54.8179475Z  2025-09-09T14:08:54.8179543Z  2025-09-09T14:08:54.8179611Z  2025-09-09T14:08:54.8179677Z  2025-09-09T14:08:54.8179751Z  2025-09-09T14:08:54.8179818Z  2025-09-09T14:08:54.8179884Z  2025-09-09T14:08:54.8179961Z  2025-09-09T14:08:54.8180028Z  2025-09-09T14:08:54.8180096Z  2025-09-09T14:08:54.8180164Z  2025-09-09T14:08:54.8180237Z  2025-09-09T14:08:54.8180305Z  2025-09-09T14:08:54.8210356Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8210612Z more-itertools  ------------------------------ 68.03 KiB/68.03 KiB 2025-09-09T14:08:54.8210810Z idna  ------------------------------ 68.79 KiB/68.79 KiB 2025-09-09T14:08:54.8210993Z tqdm  ------------------------------ 46.88 KiB/76.70 KiB 2025-09-09T14:08:54.8211196Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8211447Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8211643Z click  ------------------------------ 95.89 KiB/95.89 KiB 2025-09-09T14:08:54.8211852Z sacrebleu  ------------------------------ 62.91 KiB/101.67 KiB 2025-09-09T14:08:54.8212062Z pyparsing  ------------------------------ 108.52 KiB/108.52 KiB 2025-09-09T14:08:54.8212260Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8212444Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8212636Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8212844Z datasets  ------------------------------ 366.88 KiB/480.03 KiB 2025-09-09T14:08:54.8213029Z peft  ------------------------------ 366.98 KiB/493.06 KiB 2025-09-09T14:08:54.8213214Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8213441Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8213633Z pyyaml  ------------------------------ 716.90 KiB/720.08 KiB 2025-09-09T14:08:54.8213824Z regex  ------------------------------ 735.56 KiB/770.96 KiB 2025-09-09T14:08:54.8214025Z tiktoken  ------------------------------ 702.91 KiB/1.13 MiB 2025-09-09T14:08:54.8214219Z pygments  ------------------------------ 511.45 KiB/1.17 MiB 2025-09-09T14:08:54.8214432Z sentencepiece  ------------------------------ 702.91 KiB/1.32 MiB 2025-09-09T14:08:54.8214628Z nltk  ------------------------------ 509.61 KiB/1.44 MiB 2025-09-09T14:08:54.8214833Z kiwisolver  ------------------------------ 664.56 KiB/1.53 MiB 2025-09-09T14:08:54.8215257Z aiohttp  ------------------------------ 696.56 KiB/1.56 MiB 2025-09-09T14:08:54.8215331Z  2025-09-09T14:08:54.8215405Z  2025-09-09T14:08:54.8215476Z  2025-09-09T14:08:54.8215546Z  2025-09-09T14:08:54.8215620Z  2025-09-09T14:08:54.8215686Z  2025-09-09T14:08:54.8215752Z  2025-09-09T14:08:54.8215818Z  2025-09-09T14:08:54.8215904Z  2025-09-09T14:08:54.8215972Z  2025-09-09T14:08:54.8216040Z  2025-09-09T14:08:54.8216108Z  2025-09-09T14:08:54.8216181Z  2025-09-09T14:08:54.8231065Z  2025-09-09T14:08:54.8231256Z  2025-09-09T14:08:54.8231373Z  2025-09-09T14:08:54.8231493Z  2025-09-09T14:08:54.8231604Z  2025-09-09T14:08:54.8231715Z  2025-09-09T14:08:54.8231826Z  2025-09-09T14:08:54.8232063Z  2025-09-09T14:08:54.8232177Z  2025-09-09T14:08:54.8232289Z  2025-09-09T14:08:54.8232549Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8232934Z more-itertools  ------------------------------ 68.03 KiB/68.03 KiB 2025-09-09T14:08:54.8233648Z idna  ------------------------------ 68.79 KiB/68.79 KiB 2025-09-09T14:08:54.8233969Z tqdm  ------------------------------ 46.88 KiB/76.70 KiB 2025-09-09T14:08:54.8234188Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8234415Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8234629Z sacrebleu  ------------------------------ 62.91 KiB/101.67 KiB 2025-09-09T14:08:54.8234848Z pyparsing  ------------------------------ 108.52 KiB/108.52 KiB 2025-09-09T14:08:54.8235247Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8235445Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8235656Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8235866Z datasets  ------------------------------ 366.88 KiB/480.03 KiB 2025-09-09T14:08:54.8236055Z peft  ------------------------------ 366.98 KiB/493.06 KiB 2025-09-09T14:08:54.8236250Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8236486Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8236683Z pyyaml  ------------------------------ 716.90 KiB/720.08 KiB 2025-09-09T14:08:54.8236882Z regex  ------------------------------ 735.56 KiB/770.96 KiB 2025-09-09T14:08:54.8237084Z tiktoken  ------------------------------ 702.91 KiB/1.13 MiB 2025-09-09T14:08:54.8237287Z pygments  ------------------------------ 511.45 KiB/1.17 MiB 2025-09-09T14:08:54.8237509Z sentencepiece  ------------------------------ 702.91 KiB/1.32 MiB 2025-09-09T14:08:54.8237695Z nltk  ------------------------------ 525.61 KiB/1.44 MiB 2025-09-09T14:08:54.8237900Z kiwisolver  ------------------------------ 664.56 KiB/1.53 MiB 2025-09-09T14:08:54.8238096Z aiohttp  ------------------------------ 696.56 KiB/1.56 MiB 2025-09-09T14:08:54.8238334Z pycryptodomex  ------------------------------ 476.98 KiB/2.17 MiB 2025-09-09T14:08:54.8238406Z  2025-09-09T14:08:54.8238477Z  2025-09-09T14:08:54.8238551Z  2025-09-09T14:08:54.8238620Z  2025-09-09T14:08:54.8238687Z  2025-09-09T14:08:54.8238754Z  2025-09-09T14:08:54.8238828Z  2025-09-09T14:08:54.8238895Z  2025-09-09T14:08:54.8238967Z  2025-09-09T14:08:54.8239042Z  2025-09-09T14:08:54.8239109Z  2025-09-09T14:08:54.8239176Z  2025-09-09T14:08:54.8239243Z  2025-09-09T14:08:54.8239316Z  2025-09-09T14:08:54.8239384Z  2025-09-09T14:08:54.8239450Z  2025-09-09T14:08:54.8239530Z  2025-09-09T14:08:54.8239609Z  2025-09-09T14:08:54.8239677Z  2025-09-09T14:08:54.8239745Z  2025-09-09T14:08:54.8239818Z  2025-09-09T14:08:54.8239886Z  2025-09-09T14:08:54.8239954Z  2025-09-09T14:08:54.8240109Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8240339Z more-itertools  ------------------------------ 68.03 KiB/68.03 KiB 2025-09-09T14:08:54.8240526Z tqdm  ------------------------------ 62.88 KiB/76.70 KiB 2025-09-09T14:08:54.8240724Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8241232Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8241448Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8241664Z pyparsing  ------------------------------ 108.52 KiB/108.52 KiB 2025-09-09T14:08:54.8241861Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8242046Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8242240Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8242446Z datasets  ------------------------------ 382.88 KiB/480.03 KiB 2025-09-09T14:08:54.8242647Z peft  ------------------------------ 382.98 KiB/493.06 KiB 2025-09-09T14:08:54.8242840Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8243068Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8243261Z pyyaml  ------------------------------ 716.90 KiB/720.08 KiB 2025-09-09T14:08:54.8243450Z regex  ------------------------------ 751.56 KiB/770.96 KiB 2025-09-09T14:08:54.8243664Z tiktoken  ------------------------------ 718.91 KiB/1.13 MiB 2025-09-09T14:08:54.8243866Z pygments  ------------------------------ 511.45 KiB/1.17 MiB 2025-09-09T14:08:54.8244079Z sentencepiece  ------------------------------ 718.91 KiB/1.32 MiB 2025-09-09T14:08:54.8244264Z nltk  ------------------------------ 530.61 KiB/1.44 MiB 2025-09-09T14:08:54.8244478Z kiwisolver  ------------------------------ 696.56 KiB/1.53 MiB 2025-09-09T14:08:54.8244672Z aiohttp  ------------------------------ 712.56 KiB/1.56 MiB 2025-09-09T14:08:54.8244885Z pycryptodomex  ------------------------------ 476.98 KiB/2.17 MiB 2025-09-09T14:08:54.8245283Z hf-xet  ------------------------------ 732.15 KiB/3.04 MiB 2025-09-09T14:08:54.8245357Z  2025-09-09T14:08:54.8245427Z  2025-09-09T14:08:54.8245512Z  2025-09-09T14:08:54.8245582Z  2025-09-09T14:08:54.8245650Z  2025-09-09T14:08:54.8245718Z  2025-09-09T14:08:54.8245792Z  2025-09-09T14:08:54.8245860Z  2025-09-09T14:08:54.8245928Z  2025-09-09T14:08:54.8246007Z  2025-09-09T14:08:54.8246079Z  2025-09-09T14:08:54.8246147Z  2025-09-09T14:08:54.8246216Z  2025-09-09T14:08:54.8246295Z  2025-09-09T14:08:54.8246367Z  2025-09-09T14:08:54.8246435Z  2025-09-09T14:08:54.8246505Z  2025-09-09T14:08:54.8246582Z  2025-09-09T14:08:54.8246652Z  2025-09-09T14:08:54.8246729Z  2025-09-09T14:08:54.8246813Z  2025-09-09T14:08:54.8246884Z  2025-09-09T14:08:54.8246953Z  2025-09-09T14:08:54.8247106Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8247345Z more-itertools  ------------------------------ 68.03 KiB/68.03 KiB 2025-09-09T14:08:54.8247535Z tqdm  ------------------------------ 62.88 KiB/76.70 KiB 2025-09-09T14:08:54.8247740Z evaluate  ------------------------------ 62.81 KiB/82.13 KiB 2025-09-09T14:08:54.8247965Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8248325Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8255773Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8255977Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8256180Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8256391Z datasets  ------------------------------ 382.88 KiB/480.03 KiB 2025-09-09T14:08:54.8256597Z peft  ------------------------------ 382.98 KiB/493.06 KiB 2025-09-09T14:08:54.8256795Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8257024Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8257236Z pyyaml  ------------------------------ 716.90 KiB/720.08 KiB 2025-09-09T14:08:54.8257432Z regex  ------------------------------ 751.56 KiB/770.96 KiB 2025-09-09T14:08:54.8257634Z tiktoken  ------------------------------ 718.91 KiB/1.13 MiB 2025-09-09T14:08:54.8257841Z pygments  ------------------------------ 511.45 KiB/1.17 MiB 2025-09-09T14:08:54.8258055Z sentencepiece  ------------------------------ 718.91 KiB/1.32 MiB 2025-09-09T14:08:54.8258242Z nltk  ------------------------------ 541.61 KiB/1.44 MiB 2025-09-09T14:08:54.8258463Z kiwisolver  ------------------------------ 696.56 KiB/1.53 MiB 2025-09-09T14:08:54.8258660Z aiohttp  ------------------------------ 712.56 KiB/1.56 MiB 2025-09-09T14:08:54.8258878Z pycryptodomex  ------------------------------ 476.98 KiB/2.17 MiB 2025-09-09T14:08:54.8259078Z hf-xet  ------------------------------ 732.15 KiB/3.04 MiB 2025-09-09T14:08:54.8259304Z tokenizers  ------------------------------ 829.30 KiB/3.19 MiB 2025-09-09T14:08:54.8259376Z  2025-09-09T14:08:54.8259446Z  2025-09-09T14:08:54.8259551Z  2025-09-09T14:08:54.8259619Z  2025-09-09T14:08:54.8259695Z  2025-09-09T14:08:54.8259762Z  2025-09-09T14:08:54.8259832Z  2025-09-09T14:08:54.8259900Z  2025-09-09T14:08:54.8259974Z  2025-09-09T14:08:54.8260042Z  2025-09-09T14:08:54.8260111Z  2025-09-09T14:08:54.8260181Z  2025-09-09T14:08:54.8260256Z  2025-09-09T14:08:54.8260335Z  2025-09-09T14:08:54.8260403Z  2025-09-09T14:08:54.8260477Z  2025-09-09T14:08:54.8260545Z  2025-09-09T14:08:54.8260615Z  2025-09-09T14:08:54.8260683Z  2025-09-09T14:08:54.8260760Z  2025-09-09T14:08:54.8260830Z  2025-09-09T14:08:54.8260899Z  2025-09-09T14:08:54.8260966Z  2025-09-09T14:08:54.8261128Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8261321Z tqdm  ------------------------------ 62.88 KiB/76.70 KiB 2025-09-09T14:08:54.8261520Z evaluate  ------------------------------ 78.81 KiB/82.13 KiB 2025-09-09T14:08:54.8261741Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8261947Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8262136Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8262332Z dill  ------------------------------ 112.00 KiB/113.53 KiB 2025-09-09T14:08:54.8262842Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8263063Z datasets  ------------------------------ 382.88 KiB/480.03 KiB 2025-09-09T14:08:54.8263262Z peft  ------------------------------ 382.98 KiB/493.06 KiB 2025-09-09T14:08:54.8263448Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8263670Z huggingface-hub  ------------------------------ 431.29 KiB/548.29 KiB 2025-09-09T14:08:54.8263872Z pyyaml  ------------------------------ 720.08 KiB/720.08 KiB 2025-09-09T14:08:54.8264063Z regex  ------------------------------ 767.56 KiB/770.96 KiB 2025-09-09T14:08:54.8264262Z tiktoken  ------------------------------ 734.91 KiB/1.13 MiB 2025-09-09T14:08:54.8264470Z pygments  ------------------------------ 527.45 KiB/1.17 MiB 2025-09-09T14:08:54.8264683Z sentencepiece  ------------------------------ 734.91 KiB/1.32 MiB 2025-09-09T14:08:54.8264870Z nltk  ------------------------------ 541.61 KiB/1.44 MiB 2025-09-09T14:08:54.8265262Z kiwisolver  ------------------------------ 712.56 KiB/1.53 MiB 2025-09-09T14:08:54.8265471Z aiohttp  ------------------------------ 728.56 KiB/1.56 MiB 2025-09-09T14:08:54.8265684Z pycryptodomex  ------------------------------ 476.98 KiB/2.17 MiB 2025-09-09T14:08:54.8265874Z hf-xet  ------------------------------ 748.15 KiB/3.04 MiB 2025-09-09T14:08:54.8266084Z tokenizers  ------------------------------ 861.30 KiB/3.19 MiB 2025-09-09T14:08:54.8266307Z fonttools  ------------------------------ 760.46 KiB/4.54 MiB 2025-09-09T14:08:54.8266382Z  2025-09-09T14:08:54.8266456Z  2025-09-09T14:08:54.8266537Z  2025-09-09T14:08:54.8266607Z  2025-09-09T14:08:54.8266683Z  2025-09-09T14:08:54.8266758Z  2025-09-09T14:08:54.8266825Z  2025-09-09T14:08:54.8266902Z  2025-09-09T14:08:54.8266973Z  2025-09-09T14:08:54.8267041Z  2025-09-09T14:08:54.8267112Z  2025-09-09T14:08:54.8267179Z  2025-09-09T14:08:54.8267245Z  2025-09-09T14:08:54.8267311Z  2025-09-09T14:08:54.8267385Z  2025-09-09T14:08:54.8267452Z  2025-09-09T14:08:54.8267518Z  2025-09-09T14:08:54.8267584Z  2025-09-09T14:08:54.8267657Z  2025-09-09T14:08:54.8267726Z  2025-09-09T14:08:54.8267792Z  2025-09-09T14:08:54.8267865Z  2025-09-09T14:08:54.8267931Z  2025-09-09T14:08:54.8268075Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8268272Z tqdm  ------------------------------ 62.88 KiB/76.70 KiB 2025-09-09T14:08:54.8268474Z evaluate  ------------------------------ 78.81 KiB/82.13 KiB 2025-09-09T14:08:54.8268685Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8268890Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8269086Z fire  ------------------------------ 112.00 KiB/113.23 KiB 2025-09-09T14:08:54.8269273Z dill  ------------------------------ 113.53 KiB/113.53 KiB 2025-09-09T14:08:54.8269467Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8269674Z datasets  ------------------------------ 392.56 KiB/480.03 KiB 2025-09-09T14:08:54.8270127Z peft  ------------------------------ 382.98 KiB/493.06 KiB 2025-09-09T14:08:54.8270329Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8270557Z huggingface-hub  ------------------------------ 447.29 KiB/548.29 KiB 2025-09-09T14:08:54.8270750Z regex  ------------------------------ 767.56 KiB/770.96 KiB 2025-09-09T14:08:54.8270948Z tiktoken  ------------------------------ 734.91 KiB/1.13 MiB 2025-09-09T14:08:54.8271148Z pygments  ------------------------------ 527.45 KiB/1.17 MiB 2025-09-09T14:08:54.8271360Z sentencepiece  ------------------------------ 734.91 KiB/1.32 MiB 2025-09-09T14:08:54.8271542Z nltk  ------------------------------ 541.61 KiB/1.44 MiB 2025-09-09T14:08:54.8271756Z kiwisolver  ------------------------------ 712.56 KiB/1.53 MiB 2025-09-09T14:08:54.8272071Z aiohttp  ------------------------------ 728.56 KiB/1.56 MiB 2025-09-09T14:08:54.8272288Z pycryptodomex  ------------------------------ 492.88 KiB/2.17 MiB 2025-09-09T14:08:54.8272475Z hf-xet  ------------------------------ 748.15 KiB/3.04 MiB 2025-09-09T14:08:54.8272682Z tokenizers  ------------------------------ 861.30 KiB/3.19 MiB 2025-09-09T14:08:54.8272883Z fonttools  ------------------------------ 760.46 KiB/4.54 MiB 2025-09-09T14:08:54.8273078Z lxml  ------------------------------ 716.13 KiB/5.05 MiB 2025-09-09T14:08:54.8273155Z  2025-09-09T14:08:54.8273225Z  2025-09-09T14:08:54.8273294Z  2025-09-09T14:08:54.8273371Z  2025-09-09T14:08:54.8273442Z  2025-09-09T14:08:54.8273510Z  2025-09-09T14:08:54.8273578Z  2025-09-09T14:08:54.8273652Z  2025-09-09T14:08:54.8273718Z  2025-09-09T14:08:54.8273785Z  2025-09-09T14:08:54.8273852Z  2025-09-09T14:08:54.8273927Z  2025-09-09T14:08:54.8273993Z  2025-09-09T14:08:54.8274059Z  2025-09-09T14:08:54.8274131Z  2025-09-09T14:08:54.8274198Z  2025-09-09T14:08:54.8274266Z  2025-09-09T14:08:54.8274334Z  2025-09-09T14:08:54.8274410Z  2025-09-09T14:08:54.8274478Z  2025-09-09T14:08:54.8274545Z  2025-09-09T14:08:54.8274618Z  2025-09-09T14:08:54.8274686Z  2025-09-09T14:08:54.8274826Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8275184Z tqdm  ------------------------------ 62.88 KiB/76.70 KiB 2025-09-09T14:08:54.8275401Z evaluate  ------------------------------ 78.81 KiB/82.13 KiB 2025-09-09T14:08:54.8275616Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8275822Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8276026Z fire  ------------------------------ 113.23 KiB/113.23 KiB 2025-09-09T14:08:54.8276217Z dill  ------------------------------ 113.53 KiB/113.53 KiB 2025-09-09T14:08:54.8276410Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8276617Z datasets  ------------------------------ 392.56 KiB/480.03 KiB 2025-09-09T14:08:54.8276802Z peft  ------------------------------ 382.98 KiB/493.06 KiB 2025-09-09T14:08:54.8277135Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8277490Z huggingface-hub  ------------------------------ 447.29 KiB/548.29 KiB 2025-09-09T14:08:54.8334897Z regex  ------------------------------ 767.56 KiB/770.96 KiB 2025-09-09T14:08:54.8335575Z tiktoken  ------------------------------ 734.91 KiB/1.13 MiB 2025-09-09T14:08:54.8336028Z pygments  ------------------------------ 527.45 KiB/1.17 MiB 2025-09-09T14:08:54.8336474Z sentencepiece  ------------------------------ 734.91 KiB/1.32 MiB 2025-09-09T14:08:54.8336903Z nltk  ------------------------------ 541.61 KiB/1.44 MiB 2025-09-09T14:08:54.8337315Z kiwisolver  ------------------------------ 712.56 KiB/1.53 MiB 2025-09-09T14:08:54.8337766Z aiohttp  ------------------------------ 728.56 KiB/1.56 MiB 2025-09-09T14:08:54.8338202Z pycryptodomex  ------------------------------ 492.88 KiB/2.17 MiB 2025-09-09T14:08:54.8338658Z hf-xet  ------------------------------ 748.15 KiB/3.04 MiB 2025-09-09T14:08:54.8339066Z tokenizers  ------------------------------ 861.30 KiB/3.19 MiB 2025-09-09T14:08:54.8339492Z fonttools  ------------------------------ 760.46 KiB/4.54 MiB 2025-09-09T14:08:54.8339914Z lxml  ------------------------------ 716.13 KiB/5.05 MiB 2025-09-09T14:08:54.8340202Z  2025-09-09T14:08:54.8340357Z  2025-09-09T14:08:54.8340511Z  2025-09-09T14:08:54.8340657Z  2025-09-09T14:08:54.8340795Z  2025-09-09T14:08:54.8340938Z  2025-09-09T14:08:54.8341078Z  2025-09-09T14:08:54.8341226Z  2025-09-09T14:08:54.8341366Z  2025-09-09T14:08:54.8341523Z  2025-09-09T14:08:54.8341667Z  2025-09-09T14:08:54.8341814Z  2025-09-09T14:08:54.8341958Z  2025-09-09T14:08:54.8342097Z  2025-09-09T14:08:54.8342240Z  2025-09-09T14:08:54.8342379Z  2025-09-09T14:08:54.8342535Z  2025-09-09T14:08:54.8342679Z  2025-09-09T14:08:54.8342822Z  2025-09-09T14:08:54.8342964Z  2025-09-09T14:08:54.8343113Z  2025-09-09T14:08:54.8343252Z  2025-09-09T14:08:54.8343398Z  2025-09-09T14:08:54.8343635Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8344023Z tqdm  ------------------------------ 62.88 KiB/76.70 KiB 2025-09-09T14:08:54.8344432Z evaluate  ------------------------------ 78.81 KiB/82.13 KiB 2025-09-09T14:08:54.8344867Z pytablewriter  ------------------------------ 14.91 KiB/88.95 KiB 2025-09-09T14:08:54.8345487Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8345923Z dill  ------------------------------ 113.53 KiB/113.53 KiB 2025-09-09T14:08:54.8346341Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8346755Z datasets  ------------------------------ 392.56 KiB/480.03 KiB 2025-09-09T14:08:54.8347174Z peft  ------------------------------ 382.98 KiB/493.06 KiB 2025-09-09T14:08:54.8347572Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8347998Z huggingface-hub  ------------------------------ 447.29 KiB/548.29 KiB 2025-09-09T14:08:54.8348430Z regex  ------------------------------ 767.56 KiB/770.96 KiB 2025-09-09T14:08:54.8349174Z tiktoken  ------------------------------ 766.91 KiB/1.13 MiB 2025-09-09T14:08:54.8349620Z pygments  ------------------------------ 527.45 KiB/1.17 MiB 2025-09-09T14:08:54.8350058Z sentencepiece  ------------------------------ 750.91 KiB/1.32 MiB 2025-09-09T14:08:54.8350472Z nltk  ------------------------------ 557.61 KiB/1.44 MiB 2025-09-09T14:08:54.8350883Z kiwisolver  ------------------------------ 728.56 KiB/1.53 MiB 2025-09-09T14:08:54.8351303Z aiohttp  ------------------------------ 760.56 KiB/1.56 MiB 2025-09-09T14:08:54.8351738Z pycryptodomex  ------------------------------ 492.88 KiB/2.17 MiB 2025-09-09T14:08:54.8352290Z hf-xet  ------------------------------ 764.15 KiB/3.04 MiB 2025-09-09T14:08:54.8352707Z tokenizers  ------------------------------ 877.20 KiB/3.19 MiB 2025-09-09T14:08:54.8353152Z fonttools  ------------------------------ 776.46 KiB/4.54 MiB 2025-09-09T14:08:54.8353559Z lxml  ------------------------------ 732.13 KiB/5.05 MiB 2025-09-09T14:08:54.8353982Z zstandard  ------------------------------ 767.63 KiB/5.30 MiB 2025-09-09T14:08:54.8354289Z  2025-09-09T14:08:54.8354443Z  2025-09-09T14:08:54.8354591Z  2025-09-09T14:08:54.8354729Z  2025-09-09T14:08:54.8354873Z  2025-09-09T14:08:54.8355178Z  2025-09-09T14:08:54.8355326Z  2025-09-09T14:08:54.8355462Z  2025-09-09T14:08:54.8355608Z  2025-09-09T14:08:54.8355744Z  2025-09-09T14:08:54.8355887Z  2025-09-09T14:08:54.8356037Z  2025-09-09T14:08:54.8356181Z  2025-09-09T14:08:54.8356317Z  2025-09-09T14:08:54.8356463Z  2025-09-09T14:08:54.8356604Z  2025-09-09T14:08:54.8356752Z  2025-09-09T14:08:54.8356891Z  2025-09-09T14:08:54.8357044Z  2025-09-09T14:08:54.8357189Z  2025-09-09T14:08:54.8357328Z  2025-09-09T14:08:54.8357476Z  2025-09-09T14:08:54.8357612Z  2025-09-09T14:08:54.8357855Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8358220Z tqdm  ------------------------------ 62.88 KiB/76.70 KiB 2025-09-09T14:08:54.8358631Z evaluate  ------------------------------ 78.81 KiB/82.13 KiB 2025-09-09T14:08:54.8359060Z pytablewriter  ------------------------------ 30.91 KiB/88.95 KiB 2025-09-09T14:08:54.8359506Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8359931Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8360355Z datasets  ------------------------------ 392.56 KiB/480.03 KiB 2025-09-09T14:08:54.8360770Z peft  ------------------------------ 392.56 KiB/493.06 KiB 2025-09-09T14:08:54.8361174Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8361611Z huggingface-hub  ------------------------------ 463.29 KiB/548.29 KiB 2025-09-09T14:08:54.8362045Z regex  ------------------------------ 767.56 KiB/770.96 KiB 2025-09-09T14:08:54.8362458Z tiktoken  ------------------------------ 766.91 KiB/1.13 MiB 2025-09-09T14:08:54.8362878Z pygments  ------------------------------ 543.45 KiB/1.17 MiB 2025-09-09T14:08:54.8363309Z sentencepiece  ------------------------------ 750.91 KiB/1.32 MiB 2025-09-09T14:08:54.8364062Z nltk  ------------------------------ 573.61 KiB/1.44 MiB 2025-09-09T14:08:54.8364493Z kiwisolver  ------------------------------ 728.56 KiB/1.53 MiB 2025-09-09T14:08:54.8364913Z aiohttp  ------------------------------ 760.56 KiB/1.56 MiB 2025-09-09T14:08:54.8365504Z pycryptodomex  ------------------------------ 492.88 KiB/2.17 MiB 2025-09-09T14:08:54.8365923Z hf-xet  ------------------------------ 764.15 KiB/3.04 MiB 2025-09-09T14:08:54.8366337Z tokenizers  ------------------------------ 877.20 KiB/3.19 MiB 2025-09-09T14:08:54.8366767Z fonttools  ------------------------------ 776.46 KiB/4.54 MiB 2025-09-09T14:08:54.8367178Z lxml  ------------------------------ 732.13 KiB/5.05 MiB 2025-09-09T14:08:54.8367595Z zstandard  ------------------------------ 767.63 KiB/5.30 MiB 2025-09-09T14:08:54.8368035Z virtualenv  ------------------------------ 828.52 KiB/5.71 MiB 2025-09-09T14:08:54.8368338Z  2025-09-09T14:08:54.8368486Z  2025-09-09T14:08:54.8368636Z  2025-09-09T14:08:54.8368782Z  2025-09-09T14:08:54.8368920Z  2025-09-09T14:08:54.8369065Z  2025-09-09T14:08:54.8369202Z  2025-09-09T14:08:54.8369343Z  2025-09-09T14:08:54.8369481Z  2025-09-09T14:08:54.8369635Z  2025-09-09T14:08:54.8369773Z  2025-09-09T14:08:54.8369914Z  2025-09-09T14:08:54.8370053Z  2025-09-09T14:08:54.8370189Z  2025-09-09T14:08:54.8370328Z  2025-09-09T14:08:54.8370463Z  2025-09-09T14:08:54.8370604Z  2025-09-09T14:08:54.8370737Z  2025-09-09T14:08:54.8370878Z  2025-09-09T14:08:54.8371014Z  2025-09-09T14:08:54.8371159Z  2025-09-09T14:08:54.8371300Z  2025-09-09T14:08:54.8371442Z  2025-09-09T14:08:54.8371655Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8372025Z tqdm  ------------------------------ 76.70 KiB/76.70 KiB 2025-09-09T14:08:54.8372434Z evaluate  ------------------------------ 78.81 KiB/82.13 KiB 2025-09-09T14:08:54.8372873Z pytablewriter  ------------------------------ 30.91 KiB/88.95 KiB 2025-09-09T14:08:54.8373316Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8373740Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8374171Z datasets  ------------------------------ 456.56 KiB/480.03 KiB 2025-09-09T14:08:54.8374588Z peft  ------------------------------ 408.56 KiB/493.06 KiB 2025-09-09T14:08:54.8375150Z pytz  ------------------------------ 140.51 KiB/497.29 KiB 2025-09-09T14:08:54.8375585Z huggingface-hub  ------------------------------ 463.29 KiB/548.29 KiB 2025-09-09T14:08:54.8376019Z tiktoken  ------------------------------ 782.91 KiB/1.13 MiB 2025-09-09T14:08:54.8376438Z pygments  ------------------------------ 543.45 KiB/1.17 MiB 2025-09-09T14:08:54.8376884Z sentencepiece  ------------------------------ 782.91 KiB/1.32 MiB 2025-09-09T14:08:54.8377309Z nltk  ------------------------------ 589.61 KiB/1.44 MiB 2025-09-09T14:08:54.8377720Z kiwisolver  ------------------------------ 760.56 KiB/1.53 MiB 2025-09-09T14:08:54.8378138Z aiohttp  ------------------------------ 776.56 KiB/1.56 MiB 2025-09-09T14:08:54.8378873Z pycryptodomex  ------------------------------ 492.88 KiB/2.17 MiB 2025-09-09T14:08:54.8379311Z hf-xet  ------------------------------ 765.37 KiB/3.04 MiB 2025-09-09T14:08:54.8552106Z tokenizers  ------------------------------ 877.30 KiB/3.19 MiB 2025-09-09T14:08:54.8552683Z fonttools  ------------------------------ 776.56 KiB/4.54 MiB 2025-09-09T14:08:54.8553164Z lxml  ------------------------------ 732.35 KiB/5.05 MiB 2025-09-09T14:08:54.8553633Z zstandard  ------------------------------ 783.63 KiB/5.30 MiB 2025-09-09T14:08:54.8554118Z virtualenv  ------------------------------ 860.52 KiB/5.71 MiB 2025-09-09T14:08:54.8554646Z lm-eval  ------------------------------ 284.58 KiB/7.18 MiB 2025-09-09T14:08:54.8555244Z  2025-09-09T14:08:54.8555427Z  2025-09-09T14:08:54.8555592Z  2025-09-09T14:08:54.8555749Z  2025-09-09T14:08:54.8555915Z  2025-09-09T14:08:54.8556069Z  2025-09-09T14:08:54.8556234Z  2025-09-09T14:08:54.8556388Z  2025-09-09T14:08:54.8556558Z  2025-09-09T14:08:54.8556723Z  2025-09-09T14:08:54.8556894Z  2025-09-09T14:08:54.8557057Z  2025-09-09T14:08:54.8557227Z  2025-09-09T14:08:54.8557391Z  2025-09-09T14:08:54.8557560Z  2025-09-09T14:08:54.8557732Z  2025-09-09T14:08:54.8557897Z  2025-09-09T14:08:54.8558070Z  2025-09-09T14:08:54.8558233Z  2025-09-09T14:08:54.8558410Z  2025-09-09T14:08:54.8558587Z  2025-09-09T14:08:54.8558763Z  2025-09-09T14:08:54.8558929Z  2025-09-09T14:08:54.8559228Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8559715Z tqdm  ------------------------------ 76.70 KiB/76.70 KiB 2025-09-09T14:08:54.8560271Z pytablewriter  ------------------------------ 30.91 KiB/88.95 KiB 2025-09-09T14:08:54.8560835Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8561358Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8561882Z datasets  ------------------------------ 456.56 KiB/480.03 KiB 2025-09-09T14:08:54.8562385Z peft  ------------------------------ 408.56 KiB/493.06 KiB 2025-09-09T14:08:54.8562878Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8563414Z huggingface-hub  ------------------------------ 463.29 KiB/548.29 KiB 2025-09-09T14:08:54.8563976Z tiktoken  ------------------------------ 798.91 KiB/1.13 MiB 2025-09-09T14:08:54.8564500Z pygments  ------------------------------ 543.45 KiB/1.17 MiB 2025-09-09T14:08:54.8565187Z sentencepiece  ------------------------------ 798.91 KiB/1.32 MiB 2025-09-09T14:08:54.8565719Z nltk  ------------------------------ 589.61 KiB/1.44 MiB 2025-09-09T14:08:54.8566220Z kiwisolver  ------------------------------ 776.56 KiB/1.53 MiB 2025-09-09T14:08:54.8566754Z aiohttp  ------------------------------ 792.56 KiB/1.56 MiB 2025-09-09T14:08:54.8567291Z pycryptodomex  ------------------------------ 492.88 KiB/2.17 MiB 2025-09-09T14:08:54.8567815Z hf-xet  ------------------------------ 796.15 KiB/3.04 MiB 2025-09-09T14:08:54.8568559Z tokenizers  ------------------------------ 909.30 KiB/3.19 MiB 2025-09-09T14:08:54.8569185Z fonttools  ------------------------------ 808.56 KiB/4.54 MiB 2025-09-09T14:08:54.8569603Z lxml  ------------------------------ 749.34 KiB/5.05 MiB 2025-09-09T14:08:54.8570016Z zstandard  ------------------------------ 815.63 KiB/5.30 MiB 2025-09-09T14:08:54.8570435Z virtualenv  ------------------------------ 876.52 KiB/5.71 MiB 2025-09-09T14:08:54.8570855Z lm-eval  ------------------------------ 284.58 KiB/7.18 MiB 2025-09-09T14:08:54.8571288Z matplotlib  ------------------------------ 767.20 KiB/7.93 MiB 2025-09-09T14:08:54.8571614Z  2025-09-09T14:08:54.8571768Z  2025-09-09T14:08:54.8571928Z  2025-09-09T14:08:54.8572079Z  2025-09-09T14:08:54.8572218Z  2025-09-09T14:08:54.8572369Z  2025-09-09T14:08:54.8572515Z  2025-09-09T14:08:54.8572656Z  2025-09-09T14:08:54.8572820Z  2025-09-09T14:08:54.8572962Z  2025-09-09T14:08:54.8573111Z  2025-09-09T14:08:54.8573252Z  2025-09-09T14:08:54.8573411Z  2025-09-09T14:08:54.8573553Z  2025-09-09T14:08:54.8573702Z  2025-09-09T14:08:54.8573842Z  2025-09-09T14:08:54.8573993Z  2025-09-09T14:08:54.8574143Z  2025-09-09T14:08:54.8574284Z  2025-09-09T14:08:54.8574429Z  2025-09-09T14:08:54.8574567Z  2025-09-09T14:08:54.8574724Z  2025-09-09T14:08:54.8574870Z  2025-09-09T14:08:54.8575328Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8575738Z pytablewriter  ------------------------------ 30.91 KiB/88.95 KiB 2025-09-09T14:08:54.8576225Z sacrebleu  ------------------------------ 78.91 KiB/101.67 KiB 2025-09-09T14:08:54.8576676Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8577114Z datasets  ------------------------------ 456.56 KiB/480.03 KiB 2025-09-09T14:08:54.8577554Z peft  ------------------------------ 408.56 KiB/493.06 KiB 2025-09-09T14:08:54.8577956Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8578386Z huggingface-hub  ------------------------------ 463.29 KiB/548.29 KiB 2025-09-09T14:08:54.8578831Z tiktoken  ------------------------------ 798.91 KiB/1.13 MiB 2025-09-09T14:08:54.8579249Z pygments  ------------------------------ 559.45 KiB/1.17 MiB 2025-09-09T14:08:54.8579686Z sentencepiece  ------------------------------ 798.91 KiB/1.32 MiB 2025-09-09T14:08:54.8580134Z nltk  ------------------------------ 605.61 KiB/1.44 MiB 2025-09-09T14:08:54.8580546Z kiwisolver  ------------------------------ 776.56 KiB/1.53 MiB 2025-09-09T14:08:54.8580968Z aiohttp  ------------------------------ 792.56 KiB/1.56 MiB 2025-09-09T14:08:54.8581397Z pycryptodomex  ------------------------------ 492.88 KiB/2.17 MiB 2025-09-09T14:08:54.8581832Z hf-xet  ------------------------------ 796.15 KiB/3.04 MiB 2025-09-09T14:08:54.8582243Z tokenizers  ------------------------------ 909.30 KiB/3.19 MiB 2025-09-09T14:08:54.8582676Z fonttools  ------------------------------ 808.56 KiB/4.54 MiB 2025-09-09T14:08:54.8583086Z lxml  ------------------------------ 749.34 KiB/5.05 MiB 2025-09-09T14:08:54.8583792Z zstandard  ------------------------------ 815.63 KiB/5.30 MiB 2025-09-09T14:08:54.8584239Z virtualenv  ------------------------------ 876.52 KiB/5.71 MiB 2025-09-09T14:08:54.8584650Z lm-eval  ------------------------------ 284.58 KiB/7.18 MiB 2025-09-09T14:08:54.8585220Z matplotlib  ------------------------------ 783.20 KiB/7.93 MiB 2025-09-09T14:08:54.8585652Z ruff  ------------------------------ 862.91 KiB/10.94 MiB 2025-09-09T14:08:54.8585938Z  2025-09-09T14:08:54.8586102Z  2025-09-09T14:08:54.8586243Z  2025-09-09T14:08:54.8586384Z  2025-09-09T14:08:54.8586520Z  2025-09-09T14:08:54.8586663Z  2025-09-09T14:08:54.8586800Z  2025-09-09T14:08:54.8586951Z  2025-09-09T14:08:54.8587088Z  2025-09-09T14:08:54.8587233Z  2025-09-09T14:08:54.8587371Z  2025-09-09T14:08:54.8587541Z  2025-09-09T14:08:54.8587688Z  2025-09-09T14:08:54.8587827Z  2025-09-09T14:08:54.8587974Z  2025-09-09T14:08:54.8588110Z  2025-09-09T14:08:54.8588254Z  2025-09-09T14:08:54.8588392Z  2025-09-09T14:08:54.8588540Z  2025-09-09T14:08:54.8588679Z  2025-09-09T14:08:54.8588824Z  2025-09-09T14:08:54.8588964Z  2025-09-09T14:08:54.8589111Z  2025-09-09T14:08:54.8589329Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8589725Z dataproperty  ------------------------------ 16.00 KiB/26.93 KiB 2025-09-09T14:08:54.8590188Z sortedcontainers  ------------------------------ 28.88 KiB/28.88 KiB 2025-09-09T14:08:54.8590625Z typepy  ------------------------------ 4.42 KiB/30.71 KiB 2025-09-09T14:08:54.8591053Z tabulate  ------------------------------ 34.43 KiB/34.43 KiB 2025-09-09T14:08:54.8591512Z importlib-resources  ------------------------------ 14.87 KiB/36.58 KiB 2025-09-09T14:08:54.8592104Z diskcache  ------------------------------ 44.48 KiB/44.48 KiB 2025-09-09T14:08:54.8592515Z attrs  ------------------------------ 16.00 KiB/62.32 KiB 2025-09-09T14:08:54.8592924Z requests  ------------------------------ 14.88 KiB/63.22 KiB 2025-09-09T14:08:54.8593341Z packaging  ------------------------------ 14.88 KiB/64.91 KiB 2025-09-09T14:08:54.8593776Z pytablewriter  ------------------------------ 46.91 KiB/88.95 KiB 2025-09-09T14:08:54.8594207Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8594623Z datasets  ------------------------------ 476.74 KiB/480.03 KiB 2025-09-09T14:08:54.8595311Z peft  ------------------------------ 424.56 KiB/493.06 KiB 2025-09-09T14:08:54.8595720Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8596144Z huggingface-hub  ------------------------------ 495.29 KiB/548.29 KiB 2025-09-09T14:08:54.8596598Z tiktoken  ------------------------------ 862.91 KiB/1.13 MiB 2025-09-09T14:08:54.8597018Z pygments  ------------------------------ 575.45 KiB/1.17 MiB 2025-09-09T14:08:54.8597458Z sentencepiece  ------------------------------ 846.91 KiB/1.32 MiB 2025-09-09T14:08:54.8597882Z nltk  ------------------------------ 621.61 KiB/1.44 MiB 2025-09-09T14:08:54.8598289Z kiwisolver  ------------------------------ 838.63 KiB/1.53 MiB 2025-09-09T14:08:54.8599018Z aiohttp  ------------------------------ 856.56 KiB/1.56 MiB 2025-09-09T14:08:54.8599465Z pycryptodomex  ------------------------------ 508.88 KiB/2.17 MiB 2025-09-09T14:08:54.8599908Z hf-xet  ------------------------------ 844.15 KiB/3.04 MiB 2025-09-09T14:08:54.8600200Z  2025-09-09T14:08:54.8600342Z  2025-09-09T14:08:54.8600486Z  2025-09-09T14:08:54.8600623Z  2025-09-09T14:08:54.8600766Z  2025-09-09T14:08:54.8600901Z  2025-09-09T14:08:54.8601046Z  2025-09-09T14:08:54.8643530Z  2025-09-09T14:08:54.8643698Z  2025-09-09T14:08:54.8643841Z  2025-09-09T14:08:54.8643986Z  2025-09-09T14:08:54.8644130Z  2025-09-09T14:08:54.8644279Z  2025-09-09T14:08:54.8644422Z  2025-09-09T14:08:54.8644559Z  2025-09-09T14:08:54.8644705Z  2025-09-09T14:08:54.8644842Z  2025-09-09T14:08:54.8645175Z  2025-09-09T14:08:54.8645336Z  2025-09-09T14:08:54.8645479Z  2025-09-09T14:08:54.8645618Z  2025-09-09T14:08:54.8645764Z  2025-09-09T14:08:54.8645900Z  2025-09-09T14:08:54.8646141Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8646549Z dataproperty  ------------------------------ 16.00 KiB/26.93 KiB 2025-09-09T14:08:54.8647026Z sortedcontainers  ------------------------------ 28.88 KiB/28.88 KiB 2025-09-09T14:08:54.8647475Z typepy  ------------------------------ 4.42 KiB/30.71 KiB 2025-09-09T14:08:54.8647884Z tabulate  ------------------------------ 34.43 KiB/34.43 KiB 2025-09-09T14:08:54.8648343Z importlib-resources  ------------------------------ 14.87 KiB/36.58 KiB 2025-09-09T14:08:54.8648799Z diskcache  ------------------------------ 44.48 KiB/44.48 KiB 2025-09-09T14:08:54.8649216Z attrs  ------------------------------ 52.95 KiB/62.32 KiB 2025-09-09T14:08:54.8649651Z requests  ------------------------------ 30.88 KiB/63.22 KiB 2025-09-09T14:08:54.8650071Z packaging  ------------------------------ 30.88 KiB/64.91 KiB 2025-09-09T14:08:54.8650513Z pytablewriter  ------------------------------ 46.91 KiB/88.95 KiB 2025-09-09T14:08:54.8650970Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8651386Z peft  ------------------------------ 440.56 KiB/493.06 KiB 2025-09-09T14:08:54.8651804Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8652257Z huggingface-hub  ------------------------------ 495.29 KiB/548.29 KiB 2025-09-09T14:08:54.8652724Z tiktoken  ------------------------------ 862.91 KiB/1.13 MiB 2025-09-09T14:08:54.8653157Z pygments  ------------------------------ 575.45 KiB/1.17 MiB 2025-09-09T14:08:54.8653585Z sentencepiece  ------------------------------ 846.91 KiB/1.32 MiB 2025-09-09T14:08:54.8654012Z nltk  ------------------------------ 637.61 KiB/1.44 MiB 2025-09-09T14:08:54.8654429Z kiwisolver  ------------------------------ 838.63 KiB/1.53 MiB 2025-09-09T14:08:54.8654853Z aiohttp  ------------------------------ 856.56 KiB/1.56 MiB 2025-09-09T14:08:54.8655445Z pycryptodomex  ------------------------------ 508.88 KiB/2.17 MiB 2025-09-09T14:08:54.8655874Z hf-xet  ------------------------------ 844.46 KiB/3.04 MiB 2025-09-09T14:08:54.8656615Z tokenizers  ------------------------------ 957.30 KiB/3.19 MiB 2025-09-09T14:08:54.8656961Z  2025-09-09T14:08:54.8657109Z  2025-09-09T14:08:54.8657253Z  2025-09-09T14:08:54.8657390Z  2025-09-09T14:08:54.8657533Z  2025-09-09T14:08:54.8657673Z  2025-09-09T14:08:54.8657819Z  2025-09-09T14:08:54.8657954Z  2025-09-09T14:08:54.8658100Z  2025-09-09T14:08:54.8658244Z  2025-09-09T14:08:54.8658391Z  2025-09-09T14:08:54.8658527Z  2025-09-09T14:08:54.8658669Z  2025-09-09T14:08:54.8658809Z  2025-09-09T14:08:54.8658953Z  2025-09-09T14:08:54.8659092Z  2025-09-09T14:08:54.8659238Z  2025-09-09T14:08:54.8659385Z  2025-09-09T14:08:54.8659523Z  2025-09-09T14:08:54.8659667Z  2025-09-09T14:08:54.8659819Z  2025-09-09T14:08:54.8659965Z  2025-09-09T14:08:54.8660122Z  2025-09-09T14:08:54.8660353Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8660752Z dataproperty  ------------------------------ 16.00 KiB/26.93 KiB 2025-09-09T14:08:54.8661197Z typepy  ------------------------------ 4.42 KiB/30.71 KiB 2025-09-09T14:08:54.8661615Z tabulate  ------------------------------ 34.43 KiB/34.43 KiB 2025-09-09T14:08:54.8662080Z importlib-resources  ------------------------------ 14.87 KiB/36.58 KiB 2025-09-09T14:08:54.8662535Z diskcache  ------------------------------ 44.48 KiB/44.48 KiB 2025-09-09T14:08:54.8662942Z attrs  ------------------------------ 52.95 KiB/62.32 KiB 2025-09-09T14:08:54.8663351Z requests  ------------------------------ 30.88 KiB/63.22 KiB 2025-09-09T14:08:54.8663771Z packaging  ------------------------------ 30.88 KiB/64.91 KiB 2025-09-09T14:08:54.8664213Z pytablewriter  ------------------------------ 46.91 KiB/88.95 KiB 2025-09-09T14:08:54.8664650Z tzdata  ------------------------------ 108.96 KiB/339.69 KiB 2025-09-09T14:08:54.8665238Z peft  ------------------------------ 440.56 KiB/493.06 KiB 2025-09-09T14:08:54.8665646Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8666073Z huggingface-hub  ------------------------------ 495.29 KiB/548.29 KiB 2025-09-09T14:08:54.8666524Z tiktoken  ------------------------------ 878.91 KiB/1.13 MiB 2025-09-09T14:08:54.8666963Z pygments  ------------------------------ 575.45 KiB/1.17 MiB 2025-09-09T14:08:54.8667396Z sentencepiece  ------------------------------ 862.91 KiB/1.32 MiB 2025-09-09T14:08:54.8667838Z nltk  ------------------------------ 637.61 KiB/1.44 MiB 2025-09-09T14:08:54.8668243Z kiwisolver  ------------------------------ 840.56 KiB/1.53 MiB 2025-09-09T14:08:54.8668662Z aiohttp  ------------------------------ 856.56 KiB/1.56 MiB 2025-09-09T14:08:54.8669094Z pycryptodomex  ------------------------------ 508.88 KiB/2.17 MiB 2025-09-09T14:08:54.8669512Z hf-xet  ------------------------------ 860.46 KiB/3.04 MiB 2025-09-09T14:08:54.8669928Z tokenizers  ------------------------------ 973.30 KiB/3.19 MiB 2025-09-09T14:08:54.8670368Z fonttools  ------------------------------ 854.51 KiB/4.54 MiB 2025-09-09T14:08:54.8670686Z  2025-09-09T14:08:54.8670981Z  2025-09-09T14:08:54.8671248Z  2025-09-09T14:08:54.8671406Z  2025-09-09T14:08:54.8671551Z  2025-09-09T14:08:54.8671695Z  2025-09-09T14:08:54.8671833Z  2025-09-09T14:08:54.8672120Z  2025-09-09T14:08:54.8672262Z  2025-09-09T14:08:54.8672403Z  2025-09-09T14:08:54.8672538Z  2025-09-09T14:08:54.8672682Z  2025-09-09T14:08:54.8672821Z  2025-09-09T14:08:54.8672965Z  2025-09-09T14:08:54.8673103Z  2025-09-09T14:08:54.8673246Z  2025-09-09T14:08:54.8673380Z  2025-09-09T14:08:54.8673544Z  2025-09-09T14:08:54.8673686Z  2025-09-09T14:08:54.8673833Z  2025-09-09T14:08:54.8673978Z  2025-09-09T14:08:54.8674128Z  2025-09-09T14:08:54.8674278Z  2025-09-09T14:08:54.8674514Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8674920Z dataproperty  ------------------------------ 16.00 KiB/26.93 KiB 2025-09-09T14:08:54.8675653Z typepy  ------------------------------ 4.42 KiB/30.71 KiB 2025-09-09T14:08:54.8676144Z importlib-resources  ------------------------------ 14.87 KiB/36.58 KiB 2025-09-09T14:08:54.8676618Z diskcache  ------------------------------ 44.48 KiB/44.48 KiB 2025-09-09T14:08:54.8677081Z attrs  ------------------------------ 52.95 KiB/62.32 KiB 2025-09-09T14:08:54.8677498Z requests  ------------------------------ 30.88 KiB/63.22 KiB 2025-09-09T14:08:54.8677967Z packaging  ------------------------------ 30.88 KiB/64.91 KiB 2025-09-09T14:08:54.8678452Z pytablewriter  ------------------------------ 46.91 KiB/88.95 KiB 2025-09-09T14:08:54.8678889Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.8679377Z peft  ------------------------------ 440.56 KiB/493.06 KiB 2025-09-09T14:08:54.8679819Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8680252Z huggingface-hub  ------------------------------ 495.29 KiB/548.29 KiB 2025-09-09T14:08:54.8680783Z tiktoken  ------------------------------ 910.91 KiB/1.13 MiB 2025-09-09T14:08:54.8681217Z pygments  ------------------------------ 586.56 KiB/1.17 MiB 2025-09-09T14:08:54.8681715Z sentencepiece  ------------------------------ 894.80 KiB/1.32 MiB 2025-09-09T14:08:54.8682181Z nltk  ------------------------------ 637.61 KiB/1.44 MiB 2025-09-09T14:08:54.8682650Z kiwisolver  ------------------------------ 856.56 KiB/1.53 MiB 2025-09-09T14:08:54.8683119Z aiohttp  ------------------------------ 856.56 KiB/1.56 MiB 2025-09-09T14:08:54.8683601Z pycryptodomex  ------------------------------ 508.88 KiB/2.17 MiB 2025-09-09T14:08:54.8684066Z hf-xet  ------------------------------ 892.15 KiB/3.04 MiB 2025-09-09T14:08:54.8684548Z tokenizers  ------------------------------ 1005.30 KiB/3.19 MiB 2025-09-09T14:08:54.8685237Z fonttools  ------------------------------ 870.51 KiB/4.54 MiB 2025-09-09T14:08:54.8685737Z lxml  ------------------------------ 860.25 KiB/5.05 MiB 2025-09-09T14:08:54.8686062Z  2025-09-09T14:08:54.8686214Z  2025-09-09T14:08:54.8686353Z  2025-09-09T14:08:54.8686541Z  2025-09-09T14:08:54.8686694Z  2025-09-09T14:08:54.8686840Z  2025-09-09T14:08:54.8687016Z  2025-09-09T14:08:54.8687389Z  2025-09-09T14:08:54.8687719Z  2025-09-09T14:08:54.8687894Z  2025-09-09T14:08:54.8688082Z  2025-09-09T14:08:54.8688227Z  2025-09-09T14:08:54.8688370Z  2025-09-09T14:08:54.8688510Z  2025-09-09T14:08:54.8688726Z  2025-09-09T14:08:54.8688867Z  2025-09-09T14:08:54.8689046Z  2025-09-09T14:08:54.8689190Z  2025-09-09T14:08:54.8689333Z  2025-09-09T14:08:54.8689468Z  2025-09-09T14:08:54.8689678Z  2025-09-09T14:08:54.8689819Z  2025-09-09T14:08:54.8689968Z  2025-09-09T14:08:54.8690229Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8690683Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.8691180Z typepy  ------------------------------ 4.42 KiB/30.71 KiB 2025-09-09T14:08:54.8691679Z importlib-resources  ------------------------------ 14.87 KiB/36.58 KiB 2025-09-09T14:08:54.8692201Z attrs  ------------------------------ 52.95 KiB/62.32 KiB 2025-09-09T14:08:54.8898628Z requests  ------------------------------ 46.88 KiB/63.22 KiB 2025-09-09T14:08:54.8899209Z packaging  ------------------------------ 46.88 KiB/64.91 KiB 2025-09-09T14:08:54.8899826Z pytablewriter  ------------------------------ 46.91 KiB/88.95 KiB 2025-09-09T14:08:54.8900356Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.8900920Z peft  ------------------------------ 456.56 KiB/493.06 KiB 2025-09-09T14:08:54.8901427Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8901964Z huggingface-hub  ------------------------------ 495.29 KiB/548.29 KiB 2025-09-09T14:08:54.8902552Z tiktoken  ------------------------------ 926.69 KiB/1.13 MiB 2025-09-09T14:08:54.8903083Z pygments  ------------------------------ 586.56 KiB/1.17 MiB 2025-09-09T14:08:54.8903705Z sentencepiece  ------------------------------ 910.80 KiB/1.32 MiB 2025-09-09T14:08:54.8904219Z nltk  ------------------------------ 637.61 KiB/1.44 MiB 2025-09-09T14:08:54.8904745Z kiwisolver  ------------------------------ 888.56 KiB/1.53 MiB 2025-09-09T14:08:54.8905664Z aiohttp  ------------------------------ 872.56 KiB/1.56 MiB 2025-09-09T14:08:54.8906204Z pycryptodomex  ------------------------------ 556.98 KiB/2.17 MiB 2025-09-09T14:08:54.8906751Z hf-xet  ------------------------------ 892.15 KiB/3.04 MiB 2025-09-09T14:08:54.8907257Z tokenizers  ------------------------------ 1005.30 KiB/3.19 MiB 2025-09-09T14:08:54.8907769Z fonttools  ------------------------------ 902.51 KiB/4.54 MiB 2025-09-09T14:08:54.8908232Z lxml  ------------------------------ 860.25 KiB/5.05 MiB 2025-09-09T14:08:54.8908708Z zstandard  ------------------------------ 911.63 KiB/5.30 MiB 2025-09-09T14:08:54.8909051Z  2025-09-09T14:08:54.8909217Z  2025-09-09T14:08:54.8909369Z  2025-09-09T14:08:54.8909512Z  2025-09-09T14:08:54.8909711Z  2025-09-09T14:08:54.8909853Z  2025-09-09T14:08:54.8910002Z  2025-09-09T14:08:54.8910182Z  2025-09-09T14:08:54.8910333Z  2025-09-09T14:08:54.8910483Z  2025-09-09T14:08:54.8910671Z  2025-09-09T14:08:54.8910828Z  2025-09-09T14:08:54.8910969Z  2025-09-09T14:08:54.8911389Z  2025-09-09T14:08:54.8911760Z  2025-09-09T14:08:54.8912059Z  2025-09-09T14:08:54.8912249Z  2025-09-09T14:08:54.8912392Z  2025-09-09T14:08:54.8912538Z  2025-09-09T14:08:54.8912725Z  2025-09-09T14:08:54.8912804Z  2025-09-09T14:08:54.8912879Z  2025-09-09T14:08:54.8912948Z  2025-09-09T14:08:54.8913139Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8913375Z tomli  ------------------------------ 0 B/13.92 KiB 2025-09-09T14:08:54.8913613Z aiohappyeyeballs  ------------------------------ 5.11 KiB/14.91 KiB 2025-09-09T14:08:54.8913895Z exceptiongroup  ------------------------------ 14.87 KiB/16.28 KiB 2025-09-09T14:08:54.8914126Z threadpoolctl  ------------------------------ 14.90 KiB/18.20 KiB 2025-09-09T14:08:54.8914398Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.8914626Z parameterized  ------------------------------ 14.82 KiB/20.00 KiB 2025-09-09T14:08:54.8914873Z pluggy  ------------------------------ 16.00 KiB/20.06 KiB 2025-09-09T14:08:54.8915320Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.8915532Z nodeenv  ------------------------------ 14.87 KiB/21.79 KiB 2025-09-09T14:08:54.8915751Z portalocker  ------------------------------ 14.91 KiB/21.90 KiB 2025-09-09T14:08:54.8916035Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.8916252Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.8916508Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.8916722Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.8917022Z importlib-resources  ------------------------------ 14.87 KiB/36.58 KiB 2025-09-09T14:08:54.8917225Z attrs  ------------------------------ 52.95 KiB/62.32 KiB 2025-09-09T14:08:54.8917469Z requests  ------------------------------ 62.88 KiB/63.22 KiB 2025-09-09T14:08:54.8917671Z packaging  ------------------------------ 62.88 KiB/64.91 KiB 2025-09-09T14:08:54.8917944Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.8918166Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.8918396Z peft  ------------------------------ 488.56 KiB/493.06 KiB 2025-09-09T14:08:54.8918595Z pytz  ------------------------------ 156.51 KiB/497.29 KiB 2025-09-09T14:08:54.8918890Z huggingface-hub  ------------------------------ 511.29 KiB/548.29 KiB 2025-09-09T14:08:54.8918970Z  2025-09-09T14:08:54.8919037Z  2025-09-09T14:08:54.8919109Z  2025-09-09T14:08:54.8919193Z  2025-09-09T14:08:54.8919262Z  2025-09-09T14:08:54.8919364Z  2025-09-09T14:08:54.8919441Z  2025-09-09T14:08:54.8919508Z  2025-09-09T14:08:54.8919575Z  2025-09-09T14:08:54.8919641Z  2025-09-09T14:08:54.8919714Z  2025-09-09T14:08:54.8919780Z  2025-09-09T14:08:54.8919850Z  2025-09-09T14:08:54.8919966Z  2025-09-09T14:08:54.8920048Z  2025-09-09T14:08:54.8920118Z  2025-09-09T14:08:54.8920186Z  2025-09-09T14:08:54.8920260Z  2025-09-09T14:08:54.8920562Z  2025-09-09T14:08:54.8920755Z  2025-09-09T14:08:54.8920829Z  2025-09-09T14:08:54.8920969Z  2025-09-09T14:08:54.8921047Z  2025-09-09T14:08:54.8921208Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8921451Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.8921689Z aiohappyeyeballs  ------------------------------ 14.87 KiB/14.91 KiB 2025-09-09T14:08:54.8921952Z exceptiongroup  ------------------------------ 14.87 KiB/16.28 KiB 2025-09-09T14:08:54.8922179Z threadpoolctl  ------------------------------ 14.90 KiB/18.20 KiB 2025-09-09T14:08:54.8922439Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.8922652Z parameterized  ------------------------------ 14.82 KiB/20.00 KiB 2025-09-09T14:08:54.8922873Z pluggy  ------------------------------ 16.00 KiB/20.06 KiB 2025-09-09T14:08:54.8923199Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.8923443Z nodeenv  ------------------------------ 21.79 KiB/21.79 KiB 2025-09-09T14:08:54.8923656Z portalocker  ------------------------------ 14.91 KiB/21.90 KiB 2025-09-09T14:08:54.8923877Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.8924139Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.8924353Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.8924597Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.8924839Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.8925213Z attrs  ------------------------------ 52.95 KiB/62.32 KiB 2025-09-09T14:08:54.8925448Z requests  ------------------------------ 62.88 KiB/63.22 KiB 2025-09-09T14:08:54.8925678Z packaging  ------------------------------ 62.88 KiB/64.91 KiB 2025-09-09T14:08:54.8925894Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.8926149Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.8926349Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.8926610Z huggingface-hub  ------------------------------ 511.29 KiB/548.29 KiB 2025-09-09T14:08:54.8926850Z tiktoken  ------------------------------ 990.91 KiB/1.13 MiB 2025-09-09T14:08:54.8926920Z  2025-09-09T14:08:54.8926990Z  2025-09-09T14:08:54.8927060Z  2025-09-09T14:08:54.8927200Z  2025-09-09T14:08:54.8927272Z  2025-09-09T14:08:54.8927340Z  2025-09-09T14:08:54.8927415Z  2025-09-09T14:08:54.8927483Z  2025-09-09T14:08:54.8927585Z  2025-09-09T14:08:54.8927657Z  2025-09-09T14:08:54.8927730Z  2025-09-09T14:08:54.8927798Z  2025-09-09T14:08:54.8927865Z  2025-09-09T14:08:54.8927933Z  2025-09-09T14:08:54.8928009Z  2025-09-09T14:08:54.8928076Z  2025-09-09T14:08:54.8928203Z  2025-09-09T14:08:54.8928278Z  2025-09-09T14:08:54.8928346Z  2025-09-09T14:08:54.8928414Z  2025-09-09T14:08:54.8928484Z  2025-09-09T14:08:54.8928601Z  2025-09-09T14:08:54.8928672Z  2025-09-09T14:08:54.8929185Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8929438Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.8929715Z aiohappyeyeballs  ------------------------------ 14.87 KiB/14.91 KiB 2025-09-09T14:08:54.8929939Z exceptiongroup  ------------------------------ 14.87 KiB/16.28 KiB 2025-09-09T14:08:54.8930196Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.8930437Z parameterized  ------------------------------ 20.00 KiB/20.00 KiB 2025-09-09T14:08:54.8930671Z pluggy  ------------------------------ 16.00 KiB/20.06 KiB 2025-09-09T14:08:54.8930922Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.8931176Z nodeenv  ------------------------------ 21.79 KiB/21.79 KiB 2025-09-09T14:08:54.8931403Z portalocker  ------------------------------ 14.91 KiB/21.90 KiB 2025-09-09T14:08:54.8952349Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.8952632Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.8952900Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.8953138Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.8953520Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.8953785Z attrs  ------------------------------ 52.95 KiB/62.32 KiB 2025-09-09T14:08:54.8954056Z requests  ------------------------------ 62.88 KiB/63.22 KiB 2025-09-09T14:08:54.8954357Z packaging  ------------------------------ 62.88 KiB/64.91 KiB 2025-09-09T14:08:54.8954629Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.8954910Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.8955306Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.8955641Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.8955930Z tiktoken  ------------------------------ 1022.91 KiB/1.13 MiB 2025-09-09T14:08:54.8956201Z pygments  ------------------------------ 639.45 KiB/1.17 MiB 2025-09-09T14:08:54.8956295Z  2025-09-09T14:08:54.8956381Z  2025-09-09T14:08:54.8956518Z  2025-09-09T14:08:54.8956597Z  2025-09-09T14:08:54.8956677Z  2025-09-09T14:08:54.8956766Z  2025-09-09T14:08:54.8956862Z  2025-09-09T14:08:54.8956960Z  2025-09-09T14:08:54.8957041Z  2025-09-09T14:08:54.8957125Z  2025-09-09T14:08:54.8957202Z  2025-09-09T14:08:54.8957284Z  2025-09-09T14:08:54.8957363Z  2025-09-09T14:08:54.8957453Z  2025-09-09T14:08:54.8957593Z  2025-09-09T14:08:54.8957676Z  2025-09-09T14:08:54.8957760Z  2025-09-09T14:08:54.8957839Z  2025-09-09T14:08:54.8957918Z  2025-09-09T14:08:54.8957997Z  2025-09-09T14:08:54.8958085Z  2025-09-09T14:08:54.8958166Z  2025-09-09T14:08:54.8958245Z  2025-09-09T14:08:54.8958444Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8958691Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.8959425Z aiohappyeyeballs  ------------------------------ 14.87 KiB/14.91 KiB 2025-09-09T14:08:54.8959708Z exceptiongroup  ------------------------------ 14.87 KiB/16.28 KiB 2025-09-09T14:08:54.8959976Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.8960234Z parameterized  ------------------------------ 20.00 KiB/20.00 KiB 2025-09-09T14:08:54.8960466Z pluggy  ------------------------------ 16.00 KiB/20.06 KiB 2025-09-09T14:08:54.8960829Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.8961073Z nodeenv  ------------------------------ 21.79 KiB/21.79 KiB 2025-09-09T14:08:54.8961352Z portalocker  ------------------------------ 14.91 KiB/21.90 KiB 2025-09-09T14:08:54.8961629Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.8961926Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.8962210Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.8962467Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.8962794Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.8963031Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.8963301Z requests  ------------------------------ 63.22 KiB/63.22 KiB 2025-09-09T14:08:54.8963564Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.8963867Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.8964113Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.8964413Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.8964664Z tiktoken  ------------------------------ 1022.91 KiB/1.13 MiB 2025-09-09T14:08:54.8965085Z pygments  ------------------------------ 639.45 KiB/1.17 MiB 2025-09-09T14:08:54.8965403Z sentencepiece  ------------------------------ 1006.91 KiB/1.32 MiB 2025-09-09T14:08:54.8965487Z  2025-09-09T14:08:54.8965568Z  2025-09-09T14:08:54.8965656Z  2025-09-09T14:08:54.8965739Z  2025-09-09T14:08:54.8965819Z  2025-09-09T14:08:54.8965969Z  2025-09-09T14:08:54.8966062Z  2025-09-09T14:08:54.8966141Z  2025-09-09T14:08:54.8966222Z  2025-09-09T14:08:54.8966316Z  2025-09-09T14:08:54.8966417Z  2025-09-09T14:08:54.8966496Z  2025-09-09T14:08:54.8966577Z  2025-09-09T14:08:54.8966665Z  2025-09-09T14:08:54.8966744Z  2025-09-09T14:08:54.8966823Z  2025-09-09T14:08:54.8966955Z  2025-09-09T14:08:54.8967043Z  2025-09-09T14:08:54.8967124Z  2025-09-09T14:08:54.8967190Z  2025-09-09T14:08:54.8967271Z  2025-09-09T14:08:54.8967357Z  2025-09-09T14:08:54.8967442Z  2025-09-09T14:08:54.8967608Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8967829Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.8968118Z aiohappyeyeballs  ------------------------------ 14.87 KiB/14.91 KiB 2025-09-09T14:08:54.8968690Z exceptiongroup  ------------------------------ 14.87 KiB/16.28 KiB 2025-09-09T14:08:54.8968972Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.8969204Z parameterized  ------------------------------ 20.00 KiB/20.00 KiB 2025-09-09T14:08:54.8969454Z pluggy  ------------------------------ 16.00 KiB/20.06 KiB 2025-09-09T14:08:54.8969703Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.8969899Z nodeenv  ------------------------------ 21.79 KiB/21.79 KiB 2025-09-09T14:08:54.8970167Z portalocker  ------------------------------ 14.91 KiB/21.90 KiB 2025-09-09T14:08:54.8970393Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.8970635Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.8970854Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.8971096Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.8971348Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.8971569Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.8971795Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.8972041Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.8972240Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.8972518Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.8972724Z tiktoken  ------------------------------ 1.01 MiB/1.13 MiB 2025-09-09T14:08:54.8972924Z pygments  ------------------------------ 639.45 KiB/1.17 MiB 2025-09-09T14:08:54.8973201Z sentencepiece  ------------------------------ 1018.53 KiB/1.32 MiB 2025-09-09T14:08:54.8973407Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.8973510Z  2025-09-09T14:08:54.8973589Z  2025-09-09T14:08:54.8973660Z  2025-09-09T14:08:54.8973728Z  2025-09-09T14:08:54.8973796Z  2025-09-09T14:08:54.8973874Z  2025-09-09T14:08:54.8973940Z  2025-09-09T14:08:54.8974058Z  2025-09-09T14:08:54.8974146Z  2025-09-09T14:08:54.8974213Z  2025-09-09T14:08:54.8974286Z  2025-09-09T14:08:54.8974357Z  2025-09-09T14:08:54.8974430Z  2025-09-09T14:08:54.8974532Z  2025-09-09T14:08:54.8974602Z  2025-09-09T14:08:54.8974671Z  2025-09-09T14:08:54.8974748Z  2025-09-09T14:08:54.8974814Z  2025-09-09T14:08:54.8974882Z  2025-09-09T14:08:54.8975079Z  2025-09-09T14:08:54.8975150Z  2025-09-09T14:08:54.8975273Z  2025-09-09T14:08:54.8975350Z  2025-09-09T14:08:54.8975521Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.8975725Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.8975952Z aiohappyeyeballs  ------------------------------ 14.87 KiB/14.91 KiB 2025-09-09T14:08:54.8976179Z exceptiongroup  ------------------------------ 14.87 KiB/16.28 KiB 2025-09-09T14:08:54.8976546Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.8976929Z parameterized  ------------------------------ 20.00 KiB/20.00 KiB 2025-09-09T14:08:54.8977134Z pluggy  ------------------------------ 16.00 KiB/20.06 KiB 2025-09-09T14:08:54.8977378Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.8977584Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.8977805Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.8978004Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.8978212Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.8978470Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.8978731Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.8978952Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9003391Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.9003606Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9003799Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9004033Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9004244Z tiktoken  ------------------------------ 1.01 MiB/1.13 MiB 2025-09-09T14:08:54.9004458Z pygments  ------------------------------ 655.45 KiB/1.17 MiB 2025-09-09T14:08:54.9004697Z sentencepiece  ------------------------------ 1018.53 KiB/1.32 MiB 2025-09-09T14:08:54.9005104Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.9005369Z kiwisolver  ------------------------------ 995.56 KiB/1.53 MiB 2025-09-09T14:08:54.9005444Z  2025-09-09T14:08:54.9005523Z  2025-09-09T14:08:54.9005590Z  2025-09-09T14:08:54.9005658Z  2025-09-09T14:08:54.9005727Z  2025-09-09T14:08:54.9005852Z  2025-09-09T14:08:54.9005933Z  2025-09-09T14:08:54.9022601Z  2025-09-09T14:08:54.9022742Z  2025-09-09T14:08:54.9022816Z  2025-09-09T14:08:54.9022932Z  2025-09-09T14:08:54.9023005Z  2025-09-09T14:08:54.9023075Z  2025-09-09T14:08:54.9023147Z  2025-09-09T14:08:54.9023227Z  2025-09-09T14:08:54.9023317Z  2025-09-09T14:08:54.9023388Z  2025-09-09T14:08:54.9023525Z  2025-09-09T14:08:54.9023614Z  2025-09-09T14:08:54.9023687Z  2025-09-09T14:08:54.9023756Z  2025-09-09T14:08:54.9023831Z  2025-09-09T14:08:54.9023934Z  2025-09-09T14:08:54.9024125Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9024343Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.9024642Z aiohappyeyeballs  ------------------------------ 14.87 KiB/14.91 KiB 2025-09-09T14:08:54.9024893Z exceptiongroup  ------------------------------ 14.87 KiB/16.28 KiB 2025-09-09T14:08:54.9025294Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.9025506Z pluggy  ------------------------------ 16.00 KiB/20.06 KiB 2025-09-09T14:08:54.9026228Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.9026458Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.9026758Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.9026971Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.9027229Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.9027431Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9027713Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9027909Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9028187Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.9028398Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9028639Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9028885Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9029119Z tiktoken  ------------------------------ 1.01 MiB/1.13 MiB 2025-09-09T14:08:54.9029319Z pygments  ------------------------------ 655.45 KiB/1.17 MiB 2025-09-09T14:08:54.9029557Z sentencepiece  ------------------------------ 1018.53 KiB/1.32 MiB 2025-09-09T14:08:54.9029795Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.9030014Z kiwisolver  ------------------------------ 995.56 KiB/1.53 MiB 2025-09-09T14:08:54.9030266Z aiohttp  ------------------------------ 936.56 KiB/1.56 MiB 2025-09-09T14:08:54.9030350Z  2025-09-09T14:08:54.9030420Z  2025-09-09T14:08:54.9030489Z  2025-09-09T14:08:54.9030565Z  2025-09-09T14:08:54.9030678Z  2025-09-09T14:08:54.9030759Z  2025-09-09T14:08:54.9030831Z  2025-09-09T14:08:54.9030905Z  2025-09-09T14:08:54.9030972Z  2025-09-09T14:08:54.9031040Z  2025-09-09T14:08:54.9031149Z  2025-09-09T14:08:54.9031223Z  2025-09-09T14:08:54.9031291Z  2025-09-09T14:08:54.9031359Z  2025-09-09T14:08:54.9031434Z  2025-09-09T14:08:54.9031502Z  2025-09-09T14:08:54.9031569Z  2025-09-09T14:08:54.9031688Z  2025-09-09T14:08:54.9031775Z  2025-09-09T14:08:54.9031852Z  2025-09-09T14:08:54.9032017Z  2025-09-09T14:08:54.9032107Z  2025-09-09T14:08:54.9032207Z  2025-09-09T14:08:54.9032373Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9032580Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.9032867Z exceptiongroup  ------------------------------ 16.28 KiB/16.28 KiB 2025-09-09T14:08:54.9033090Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.9033318Z pluggy  ------------------------------ 20.06 KiB/20.06 KiB 2025-09-09T14:08:54.9033570Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.9033830Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.9034194Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.9034522Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.9034782Z dataproperty  ------------------------------ 26.93 KiB/26.93 KiB 2025-09-09T14:08:54.9035142Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9035433Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9035625Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9035887Z pytablewriter  ------------------------------ 62.26 KiB/88.95 KiB 2025-09-09T14:08:54.9036111Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9036344Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9036581Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9036800Z tiktoken  ------------------------------ 1.03 MiB/1.13 MiB 2025-09-09T14:08:54.9037058Z pygments  ------------------------------ 655.45 KiB/1.17 MiB 2025-09-09T14:08:54.9037283Z sentencepiece  ------------------------------ 1.01 MiB/1.32 MiB 2025-09-09T14:08:54.9037503Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.9037715Z kiwisolver  ------------------------------ 1.00 MiB/1.53 MiB 2025-09-09T14:08:54.9037962Z aiohttp  ------------------------------ 952.56 KiB/1.56 MiB 2025-09-09T14:08:54.9038209Z pycryptodomex  ------------------------------ 636.98 KiB/2.17 MiB 2025-09-09T14:08:54.9038308Z  2025-09-09T14:08:54.9038406Z  2025-09-09T14:08:54.9038477Z  2025-09-09T14:08:54.9038554Z  2025-09-09T14:08:54.9038623Z  2025-09-09T14:08:54.9038697Z  2025-09-09T14:08:54.9038764Z  2025-09-09T14:08:54.9038844Z  2025-09-09T14:08:54.9038976Z  2025-09-09T14:08:54.9039056Z  2025-09-09T14:08:54.9039133Z  2025-09-09T14:08:54.9039202Z  2025-09-09T14:08:54.9039271Z  2025-09-09T14:08:54.9039369Z  2025-09-09T14:08:54.9039456Z  2025-09-09T14:08:54.9039528Z  2025-09-09T14:08:54.9039600Z  2025-09-09T14:08:54.9039672Z  2025-09-09T14:08:54.9039752Z  2025-09-09T14:08:54.9039822Z  2025-09-09T14:08:54.9039940Z  2025-09-09T14:08:54.9040028Z  2025-09-09T14:08:54.9040109Z  2025-09-09T14:08:54.9040268Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9040512Z tomli  ------------------------------ 13.92 KiB/13.92 KiB 2025-09-09T14:08:54.9040743Z exceptiongroup  ------------------------------ 16.28 KiB/16.28 KiB 2025-09-09T14:08:54.9041029Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.9041244Z pluggy  ------------------------------ 20.06 KiB/20.06 KiB 2025-09-09T14:08:54.9041537Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.9041748Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.9042009Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.9042231Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.9042783Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9043087Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9043299Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9043556Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9043764Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9044013Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9044253Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9044486Z tiktoken  ------------------------------ 1.03 MiB/1.13 MiB 2025-09-09T14:08:54.9044713Z pygments  ------------------------------ 655.45 KiB/1.17 MiB 2025-09-09T14:08:54.9044930Z sentencepiece  ------------------------------ 1.01 MiB/1.32 MiB 2025-09-09T14:08:54.9045304Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.9078269Z kiwisolver  ------------------------------ 1.00 MiB/1.53 MiB 2025-09-09T14:08:54.9078484Z aiohttp  ------------------------------ 952.56 KiB/1.56 MiB 2025-09-09T14:08:54.9078743Z pycryptodomex  ------------------------------ 636.98 KiB/2.17 MiB 2025-09-09T14:08:54.9078960Z hf-xet  ------------------------------ 1.02 MiB/3.04 MiB 2025-09-09T14:08:54.9079034Z  2025-09-09T14:08:54.9079104Z  2025-09-09T14:08:54.9079183Z  2025-09-09T14:08:54.9079265Z  2025-09-09T14:08:54.9079334Z  2025-09-09T14:08:54.9079403Z  2025-09-09T14:08:54.9079471Z  2025-09-09T14:08:54.9079547Z  2025-09-09T14:08:54.9079615Z  2025-09-09T14:08:54.9079684Z  2025-09-09T14:08:54.9079762Z  2025-09-09T14:08:54.9079832Z  2025-09-09T14:08:54.9079900Z  2025-09-09T14:08:54.9079970Z  2025-09-09T14:08:54.9080052Z  2025-09-09T14:08:54.9080121Z  2025-09-09T14:08:54.9080191Z  2025-09-09T14:08:54.9080350Z  2025-09-09T14:08:54.9080420Z  2025-09-09T14:08:54.9080491Z  2025-09-09T14:08:54.9080559Z  2025-09-09T14:08:54.9080642Z  2025-09-09T14:08:54.9080748Z  2025-09-09T14:08:54.9080948Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9081183Z exceptiongroup  ------------------------------ 16.28 KiB/16.28 KiB 2025-09-09T14:08:54.9081481Z platformdirs  ------------------------------ 16.00 KiB/18.22 KiB 2025-09-09T14:08:54.9081727Z pluggy  ------------------------------ 20.06 KiB/20.06 KiB 2025-09-09T14:08:54.9081974Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.9082183Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.9082472Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.9082693Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.9082908Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9083150Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9083591Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9083995Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9084208Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9084471Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9084710Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9085114Z tiktoken  ------------------------------ 1.03 MiB/1.13 MiB 2025-09-09T14:08:54.9085322Z pygments  ------------------------------ 655.45 KiB/1.17 MiB 2025-09-09T14:08:54.9085599Z sentencepiece  ------------------------------ 1.01 MiB/1.32 MiB 2025-09-09T14:08:54.9085803Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.9086050Z kiwisolver  ------------------------------ 1.00 MiB/1.53 MiB 2025-09-09T14:08:54.9086249Z aiohttp  ------------------------------ 952.56 KiB/1.56 MiB 2025-09-09T14:08:54.9086517Z pycryptodomex  ------------------------------ 636.98 KiB/2.17 MiB 2025-09-09T14:08:54.9086719Z hf-xet  ------------------------------ 1.02 MiB/3.04 MiB 2025-09-09T14:08:54.9086973Z tokenizers  ------------------------------ 1.10 MiB/3.19 MiB 2025-09-09T14:08:54.9087052Z  2025-09-09T14:08:54.9087125Z  2025-09-09T14:08:54.9087194Z  2025-09-09T14:08:54.9087267Z  2025-09-09T14:08:54.9087335Z  2025-09-09T14:08:54.9087454Z  2025-09-09T14:08:54.9087533Z  2025-09-09T14:08:54.9087615Z  2025-09-09T14:08:54.9087685Z  2025-09-09T14:08:54.9087755Z  2025-09-09T14:08:54.9087847Z  2025-09-09T14:08:54.9087940Z  2025-09-09T14:08:54.9088011Z  2025-09-09T14:08:54.9088080Z  2025-09-09T14:08:54.9088157Z  2025-09-09T14:08:54.9088226Z  2025-09-09T14:08:54.9088296Z  2025-09-09T14:08:54.9088364Z  2025-09-09T14:08:54.9088492Z  2025-09-09T14:08:54.9088568Z  2025-09-09T14:08:54.9088637Z  2025-09-09T14:08:54.9088715Z  2025-09-09T14:08:54.9088783Z  2025-09-09T14:08:54.9088970Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9089193Z platformdirs  ------------------------------ 18.22 KiB/18.22 KiB 2025-09-09T14:08:54.9089397Z pluggy  ------------------------------ 20.06 KiB/20.06 KiB 2025-09-09T14:08:54.9089703Z unittest-xml-reporting ------------------------------ 14.82 KiB/20.45 KiB 2025-09-09T14:08:54.9089962Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.9090185Z pathvalidate  ------------------------------ 14.91 KiB/23.74 KiB 2025-09-09T14:08:54.9090387Z colorama  ------------------------------ 14.83 KiB/24.74 KiB 2025-09-09T14:08:54.9090637Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9090885Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9091105Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9091325Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9091582Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9092157Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9092396Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9092659Z tiktoken  ------------------------------ 1.03 MiB/1.13 MiB 2025-09-09T14:08:54.9092866Z pygments  ------------------------------ 655.45 KiB/1.17 MiB 2025-09-09T14:08:54.9093113Z sentencepiece  ------------------------------ 1.01 MiB/1.32 MiB 2025-09-09T14:08:54.9093309Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.9093554Z kiwisolver  ------------------------------ 1.00 MiB/1.53 MiB 2025-09-09T14:08:54.9093759Z aiohttp  ------------------------------ 952.56 KiB/1.56 MiB 2025-09-09T14:08:54.9094022Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9094219Z hf-xet  ------------------------------ 1.02 MiB/3.04 MiB 2025-09-09T14:08:54.9094420Z tokenizers  ------------------------------ 1.10 MiB/3.19 MiB 2025-09-09T14:08:54.9094682Z fonttools  ------------------------------ 1.00 MiB/4.54 MiB 2025-09-09T14:08:54.9094767Z  2025-09-09T14:08:54.9094835Z  2025-09-09T14:08:54.9094903Z  2025-09-09T14:08:54.9095132Z  2025-09-09T14:08:54.9095206Z  2025-09-09T14:08:54.9095273Z  2025-09-09T14:08:54.9095350Z  2025-09-09T14:08:54.9095426Z  2025-09-09T14:08:54.9095492Z  2025-09-09T14:08:54.9095559Z  2025-09-09T14:08:54.9095686Z  2025-09-09T14:08:54.9095774Z  2025-09-09T14:08:54.9095851Z  2025-09-09T14:08:54.9095923Z  2025-09-09T14:08:54.9095996Z  2025-09-09T14:08:54.9096095Z  2025-09-09T14:08:54.9096166Z  2025-09-09T14:08:54.9096233Z  2025-09-09T14:08:54.9096307Z  2025-09-09T14:08:54.9096371Z  2025-09-09T14:08:54.9096436Z  2025-09-09T14:08:54.9096509Z  2025-09-09T14:08:54.9096583Z  2025-09-09T14:08:54.9096803Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9097000Z pluggy  ------------------------------ 20.06 KiB/20.06 KiB 2025-09-09T14:08:54.9097279Z unittest-xml-reporting ------------------------------ 20.45 KiB/20.45 KiB 2025-09-09T14:08:54.9097487Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.9097748Z pathvalidate  ------------------------------ 23.74 KiB/23.74 KiB 2025-09-09T14:08:54.9097970Z colorama  ------------------------------ 24.74 KiB/24.74 KiB 2025-09-09T14:08:54.9098204Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9098438Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9098631Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9098903Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9099120Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9099345Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9099573Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9100157Z tiktoken  ------------------------------ 1.05 MiB/1.13 MiB 2025-09-09T14:08:54.9100394Z pygments  ------------------------------ 671.45 KiB/1.17 MiB 2025-09-09T14:08:54.9100609Z sentencepiece  ------------------------------ 1.03 MiB/1.32 MiB 2025-09-09T14:08:54.9100853Z nltk  ------------------------------ 669.61 KiB/1.44 MiB 2025-09-09T14:08:54.9101071Z kiwisolver  ------------------------------ 1.02 MiB/1.53 MiB 2025-09-09T14:08:54.9101302Z aiohttp  ------------------------------ 952.56 KiB/1.56 MiB 2025-09-09T14:08:54.9101522Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9101749Z hf-xet  ------------------------------ 1.04 MiB/3.04 MiB 2025-09-09T14:08:54.9101980Z tokenizers  ------------------------------ 1.12 MiB/3.19 MiB 2025-09-09T14:08:54.9102216Z fonttools  ------------------------------ 1.03 MiB/4.54 MiB 2025-09-09T14:08:54.9102423Z lxml  ------------------------------ 1004.35 KiB/5.05 MiB 2025-09-09T14:08:54.9102506Z  2025-09-09T14:08:54.9102575Z  2025-09-09T14:08:54.9102644Z  2025-09-09T14:08:54.9102722Z  2025-09-09T14:08:54.9102846Z  2025-09-09T14:08:54.9102915Z  2025-09-09T14:08:54.9102983Z  2025-09-09T14:08:54.9103058Z  2025-09-09T14:08:54.9103128Z  2025-09-09T14:08:54.9103221Z  2025-09-09T14:08:54.9103301Z  2025-09-09T14:08:54.9103376Z  2025-09-09T14:08:54.9103445Z  2025-09-09T14:08:54.9103515Z  2025-09-09T14:08:54.9103590Z  2025-09-09T14:08:54.9103658Z  2025-09-09T14:08:54.9103726Z  2025-09-09T14:08:54.9103855Z  2025-09-09T14:08:54.9113128Z  2025-09-09T14:08:54.9113209Z  2025-09-09T14:08:54.9113278Z  2025-09-09T14:08:54.9113356Z  2025-09-09T14:08:54.9113425Z  2025-09-09T14:08:54.9113595Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9113888Z unittest-xml-reporting ------------------------------ 20.45 KiB/20.45 KiB 2025-09-09T14:08:54.9114102Z portalocker  ------------------------------ 21.90 KiB/21.90 KiB 2025-09-09T14:08:54.9114313Z pathvalidate  ------------------------------ 23.74 KiB/23.74 KiB 2025-09-09T14:08:54.9114588Z colorama  ------------------------------ 24.74 KiB/24.74 KiB 2025-09-09T14:08:54.9114795Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9115188Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9115404Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9115677Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9115891Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9116123Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9116355Z huggingface-hub  ------------------------------ 527.29 KiB/548.29 KiB 2025-09-09T14:08:54.9116557Z tiktoken  ------------------------------ 1.06 MiB/1.13 MiB 2025-09-09T14:08:54.9116828Z pygments  ------------------------------ 671.45 KiB/1.17 MiB 2025-09-09T14:08:54.9117056Z sentencepiece  ------------------------------ 1.05 MiB/1.32 MiB 2025-09-09T14:08:54.9117595Z nltk  ------------------------------ 685.61 KiB/1.44 MiB 2025-09-09T14:08:54.9117890Z kiwisolver  ------------------------------ 1.03 MiB/1.53 MiB 2025-09-09T14:08:54.9118120Z aiohttp  ------------------------------ 952.56 KiB/1.56 MiB 2025-09-09T14:08:54.9118345Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9118530Z hf-xet  ------------------------------ 1.04 MiB/3.04 MiB 2025-09-09T14:08:54.9118795Z tokenizers  ------------------------------ 1.13 MiB/3.19 MiB 2025-09-09T14:08:54.9119002Z fonttools  ------------------------------ 1.05 MiB/4.54 MiB 2025-09-09T14:08:54.9119232Z lxml  ------------------------------ 1014.15 KiB/5.05 MiB 2025-09-09T14:08:54.9119462Z zstandard  ------------------------------ 1.07 MiB/5.30 MiB 2025-09-09T14:08:54.9119533Z  2025-09-09T14:08:54.9119601Z  2025-09-09T14:08:54.9119722Z  2025-09-09T14:08:54.9119798Z  2025-09-09T14:08:54.9119866Z  2025-09-09T14:08:54.9119933Z  2025-09-09T14:08:54.9120007Z  2025-09-09T14:08:54.9120074Z  2025-09-09T14:08:54.9120177Z  2025-09-09T14:08:54.9120253Z  2025-09-09T14:08:54.9120322Z  2025-09-09T14:08:54.9120388Z  2025-09-09T14:08:54.9120456Z  2025-09-09T14:08:54.9120531Z  2025-09-09T14:08:54.9120598Z  2025-09-09T14:08:54.9120665Z  2025-09-09T14:08:54.9120786Z  2025-09-09T14:08:54.9120866Z  2025-09-09T14:08:54.9120936Z  2025-09-09T14:08:54.9121005Z  2025-09-09T14:08:54.9121077Z  2025-09-09T14:08:54.9121165Z  2025-09-09T14:08:54.9121247Z  2025-09-09T14:08:54.9121410Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9121668Z unittest-xml-reporting ------------------------------ 20.45 KiB/20.45 KiB 2025-09-09T14:08:54.9121936Z pathvalidate  ------------------------------ 23.74 KiB/23.74 KiB 2025-09-09T14:08:54.9122142Z colorama  ------------------------------ 24.74 KiB/24.74 KiB 2025-09-09T14:08:54.9122384Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9122621Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9122859Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9123095Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9123336Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9123539Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9123828Z huggingface-hub  ------------------------------ 543.29 KiB/548.29 KiB 2025-09-09T14:08:54.9124036Z tiktoken  ------------------------------ 1.06 MiB/1.13 MiB 2025-09-09T14:08:54.9124266Z pygments  ------------------------------ 671.45 KiB/1.17 MiB 2025-09-09T14:08:54.9124489Z sentencepiece  ------------------------------ 1.05 MiB/1.32 MiB 2025-09-09T14:08:54.9124677Z nltk  ------------------------------ 701.61 KiB/1.44 MiB 2025-09-09T14:08:54.9125092Z kiwisolver  ------------------------------ 1.03 MiB/1.53 MiB 2025-09-09T14:08:54.9125506Z aiohttp  ------------------------------ 952.56 KiB/1.56 MiB 2025-09-09T14:08:54.9125914Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9126117Z hf-xet  ------------------------------ 1.04 MiB/3.04 MiB 2025-09-09T14:08:54.9126347Z tokenizers  ------------------------------ 1.13 MiB/3.19 MiB 2025-09-09T14:08:54.9126561Z fonttools  ------------------------------ 1.05 MiB/4.54 MiB 2025-09-09T14:08:54.9126754Z lxml  ------------------------------ 1014.15 KiB/5.05 MiB 2025-09-09T14:08:54.9127012Z zstandard  ------------------------------ 1.07 MiB/5.30 MiB 2025-09-09T14:08:54.9127242Z virtualenv  ------------------------------ 1.12 MiB/5.71 MiB 2025-09-09T14:08:54.9127330Z  2025-09-09T14:08:54.9127444Z  2025-09-09T14:08:54.9127525Z  2025-09-09T14:08:54.9127591Z  2025-09-09T14:08:54.9127658Z  2025-09-09T14:08:54.9127730Z  2025-09-09T14:08:54.9127808Z  2025-09-09T14:08:54.9127876Z  2025-09-09T14:08:54.9128004Z  2025-09-09T14:08:54.9128081Z  2025-09-09T14:08:54.9128149Z  2025-09-09T14:08:54.9128217Z  2025-09-09T14:08:54.9128286Z  2025-09-09T14:08:54.9128391Z  2025-09-09T14:08:54.9128464Z  2025-09-09T14:08:54.9128532Z  2025-09-09T14:08:54.9128600Z  2025-09-09T14:08:54.9128676Z  2025-09-09T14:08:54.9128745Z  2025-09-09T14:08:54.9128812Z  2025-09-09T14:08:54.9128888Z  2025-09-09T14:08:54.9129009Z  2025-09-09T14:08:54.9129082Z  2025-09-09T14:08:54.9129240Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9129543Z unittest-xml-reporting ------------------------------ 20.45 KiB/20.45 KiB 2025-09-09T14:08:54.9129779Z pathvalidate  ------------------------------ 23.74 KiB/23.74 KiB 2025-09-09T14:08:54.9130027Z colorama  ------------------------------ 24.74 KiB/24.74 KiB 2025-09-09T14:08:54.9130236Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9130510Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9130704Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9130926Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9131184Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9131399Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9131644Z tiktoken  ------------------------------ 1.08 MiB/1.13 MiB 2025-09-09T14:08:54.9131846Z pygments  ------------------------------ 687.35 KiB/1.17 MiB 2025-09-09T14:08:54.9132114Z sentencepiece  ------------------------------ 1.06 MiB/1.32 MiB 2025-09-09T14:08:54.9132315Z nltk  ------------------------------ 701.61 KiB/1.44 MiB 2025-09-09T14:08:54.9132556Z kiwisolver  ------------------------------ 1.05 MiB/1.53 MiB 2025-09-09T14:08:54.9132758Z aiohttp  ------------------------------ 963.56 KiB/1.56 MiB 2025-09-09T14:08:54.9133017Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9133233Z hf-xet  ------------------------------ 1.06 MiB/3.04 MiB 2025-09-09T14:08:54.9133736Z tokenizers  ------------------------------ 1.15 MiB/3.19 MiB 2025-09-09T14:08:54.9133949Z fonttools  ------------------------------ 1.05 MiB/4.54 MiB 2025-09-09T14:08:54.9134214Z lxml  ------------------------------ 1.01 MiB/5.05 MiB 2025-09-09T14:08:54.9134444Z zstandard  ------------------------------ 1.08 MiB/5.30 MiB 2025-09-09T14:08:54.9134671Z virtualenv  ------------------------------ 1.13 MiB/5.71 MiB 2025-09-09T14:08:54.9134890Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9135093Z  2025-09-09T14:08:54.9135222Z  2025-09-09T14:08:54.9135298Z  2025-09-09T14:08:54.9135366Z  2025-09-09T14:08:54.9135433Z  2025-09-09T14:08:54.9135499Z  2025-09-09T14:08:54.9135627Z  2025-09-09T14:08:54.9135701Z  2025-09-09T14:08:54.9135768Z  2025-09-09T14:08:54.9135844Z  2025-09-09T14:08:54.9135917Z  2025-09-09T14:08:54.9135983Z  2025-09-09T14:08:54.9136050Z  2025-09-09T14:08:54.9136168Z  2025-09-09T14:08:54.9136246Z  2025-09-09T14:08:54.9136315Z  2025-09-09T14:08:54.9136391Z  2025-09-09T14:08:54.9136458Z  2025-09-09T14:08:54.9136526Z  2025-09-09T14:08:54.9136626Z  2025-09-09T14:08:54.9136704Z  2025-09-09T14:08:54.9136772Z  2025-09-09T14:08:54.9136841Z  2025-09-09T14:08:54.9136996Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9137277Z pathvalidate  ------------------------------ 23.74 KiB/23.74 KiB 2025-09-09T14:08:54.9137495Z colorama  ------------------------------ 24.74 KiB/24.74 KiB 2025-09-09T14:08:54.9137730Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9137985Z importlib-resources  ------------------------------ 30.87 KiB/36.58 KiB 2025-09-09T14:08:54.9164416Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9164639Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9164890Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9165231Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9165509Z tiktoken  ------------------------------ 1.08 MiB/1.13 MiB 2025-09-09T14:08:54.9165724Z pygments  ------------------------------ 687.35 KiB/1.17 MiB 2025-09-09T14:08:54.9165959Z sentencepiece  ------------------------------ 1.06 MiB/1.32 MiB 2025-09-09T14:08:54.9166154Z nltk  ------------------------------ 701.61 KiB/1.44 MiB 2025-09-09T14:08:54.9166370Z kiwisolver  ------------------------------ 1.05 MiB/1.53 MiB 2025-09-09T14:08:54.9166686Z aiohttp  ------------------------------ 963.56 KiB/1.56 MiB 2025-09-09T14:08:54.9166944Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9167134Z hf-xet  ------------------------------ 1.06 MiB/3.04 MiB 2025-09-09T14:08:54.9167338Z tokenizers  ------------------------------ 1.15 MiB/3.19 MiB 2025-09-09T14:08:54.9167595Z fonttools  ------------------------------ 1.05 MiB/4.54 MiB 2025-09-09T14:08:54.9167993Z lxml  ------------------------------ 1.01 MiB/5.05 MiB 2025-09-09T14:08:54.9168331Z zstandard  ------------------------------ 1.08 MiB/5.30 MiB 2025-09-09T14:08:54.9168613Z virtualenv  ------------------------------ 1.13 MiB/5.71 MiB 2025-09-09T14:08:54.9168818Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9169071Z matplotlib  ------------------------------ 1.07 MiB/7.93 MiB 2025-09-09T14:08:54.9169155Z  2025-09-09T14:08:54.9169224Z  2025-09-09T14:08:54.9169295Z  2025-09-09T14:08:54.9169371Z  2025-09-09T14:08:54.9169439Z  2025-09-09T14:08:54.9169554Z  2025-09-09T14:08:54.9169631Z  2025-09-09T14:08:54.9169705Z  2025-09-09T14:08:54.9169772Z  2025-09-09T14:08:54.9169840Z  2025-09-09T14:08:54.9169908Z  2025-09-09T14:08:54.9170028Z  2025-09-09T14:08:54.9170107Z  2025-09-09T14:08:54.9170180Z  2025-09-09T14:08:54.9170254Z  2025-09-09T14:08:54.9170323Z  2025-09-09T14:08:54.9170391Z  2025-09-09T14:08:54.9170458Z  2025-09-09T14:08:54.9170591Z  2025-09-09T14:08:54.9170669Z  2025-09-09T14:08:54.9170736Z  2025-09-09T14:08:54.9170808Z  2025-09-09T14:08:54.9170885Z  2025-09-09T14:08:54.9171064Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9171284Z pathvalidate  ------------------------------ 23.74 KiB/23.74 KiB 2025-09-09T14:08:54.9171490Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9171778Z importlib-resources  ------------------------------ 36.58 KiB/36.58 KiB 2025-09-09T14:08:54.9171984Z attrs  ------------------------------ 62.32 KiB/62.32 KiB 2025-09-09T14:08:54.9172246Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9172449Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9172693Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9172906Z tiktoken  ------------------------------ 1.08 MiB/1.13 MiB 2025-09-09T14:08:54.9173142Z pygments  ------------------------------ 687.35 KiB/1.17 MiB 2025-09-09T14:08:54.9173354Z sentencepiece  ------------------------------ 1.06 MiB/1.32 MiB 2025-09-09T14:08:54.9173552Z nltk  ------------------------------ 701.61 KiB/1.44 MiB 2025-09-09T14:08:54.9173817Z kiwisolver  ------------------------------ 1.05 MiB/1.53 MiB 2025-09-09T14:08:54.9174051Z aiohttp  ------------------------------ 963.56 KiB/1.56 MiB 2025-09-09T14:08:54.9174286Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9174473Z hf-xet  ------------------------------ 1.06 MiB/3.04 MiB 2025-09-09T14:08:54.9174723Z tokenizers  ------------------------------ 1.15 MiB/3.19 MiB 2025-09-09T14:08:54.9174927Z fonttools  ------------------------------ 1.06 MiB/4.54 MiB 2025-09-09T14:08:54.9175272Z lxml  ------------------------------ 1.01 MiB/5.05 MiB 2025-09-09T14:08:54.9175469Z zstandard  ------------------------------ 1.08 MiB/5.30 MiB 2025-09-09T14:08:54.9175714Z virtualenv  ------------------------------ 1.13 MiB/5.71 MiB 2025-09-09T14:08:54.9176270Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9176488Z matplotlib  ------------------------------ 1.07 MiB/7.93 MiB 2025-09-09T14:08:54.9176742Z ruff  ------------------------------ 1.11 MiB/10.94 MiB 2025-09-09T14:08:54.9176829Z  2025-09-09T14:08:54.9176896Z  2025-09-09T14:08:54.9176963Z  2025-09-09T14:08:54.9177050Z  2025-09-09T14:08:54.9177130Z  2025-09-09T14:08:54.9177224Z  2025-09-09T14:08:54.9177293Z  2025-09-09T14:08:54.9177366Z  2025-09-09T14:08:54.9177435Z  2025-09-09T14:08:54.9177501Z  2025-09-09T14:08:54.9177569Z  2025-09-09T14:08:54.9177644Z  2025-09-09T14:08:54.9177767Z  2025-09-09T14:08:54.9177845Z  2025-09-09T14:08:54.9177918Z  2025-09-09T14:08:54.9177985Z  2025-09-09T14:08:54.9178053Z  2025-09-09T14:08:54.9178143Z  2025-09-09T14:08:54.9178241Z  2025-09-09T14:08:54.9178310Z  2025-09-09T14:08:54.9178377Z  2025-09-09T14:08:54.9178446Z  2025-09-09T14:08:54.9178520Z  2025-09-09T14:08:54.9178666Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9178947Z pathvalidate  ------------------------------ 23.74 KiB/23.74 KiB 2025-09-09T14:08:54.9179164Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9179429Z importlib-resources  ------------------------------ 36.58 KiB/36.58 KiB 2025-09-09T14:08:54.9179645Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9179905Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9180107Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9180343Z tiktoken  ------------------------------ 1.08 MiB/1.13 MiB 2025-09-09T14:08:54.9180553Z pygments  ------------------------------ 687.35 KiB/1.17 MiB 2025-09-09T14:08:54.9180821Z sentencepiece  ------------------------------ 1.06 MiB/1.32 MiB 2025-09-09T14:08:54.9181017Z nltk  ------------------------------ 717.61 KiB/1.44 MiB 2025-09-09T14:08:54.9181260Z kiwisolver  ------------------------------ 1.05 MiB/1.53 MiB 2025-09-09T14:08:54.9181459Z aiohttp  ------------------------------ 963.56 KiB/1.56 MiB 2025-09-09T14:08:54.9181675Z pycryptodomex  ------------------------------ 652.98 KiB/2.17 MiB 2025-09-09T14:08:54.9181917Z hf-xet  ------------------------------ 1.06 MiB/3.04 MiB 2025-09-09T14:08:54.9182130Z tokenizers  ------------------------------ 1.15 MiB/3.19 MiB 2025-09-09T14:08:54.9182364Z fonttools  ------------------------------ 1.06 MiB/4.54 MiB 2025-09-09T14:08:54.9182549Z lxml  ------------------------------ 1.01 MiB/5.05 MiB 2025-09-09T14:08:54.9182754Z zstandard  ------------------------------ 1.08 MiB/5.30 MiB 2025-09-09T14:08:54.9183008Z virtualenv  ------------------------------ 1.13 MiB/5.71 MiB 2025-09-09T14:08:54.9183200Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9183447Z matplotlib  ------------------------------ 1.10 MiB/7.93 MiB 2025-09-09T14:08:54.9183755Z ruff  ------------------------------ 1.11 MiB/10.94 MiB 2025-09-09T14:08:54.9184168Z transformers  ------------------------------ 1004.61 KiB/11.07 MiB 2025-09-09T14:08:54.9184264Z  2025-09-09T14:08:54.9184355Z  2025-09-09T14:08:54.9184424Z  2025-09-09T14:08:54.9184492Z  2025-09-09T14:08:54.9184569Z  2025-09-09T14:08:54.9184637Z  2025-09-09T14:08:54.9184706Z  2025-09-09T14:08:54.9184779Z  2025-09-09T14:08:54.9184898Z  2025-09-09T14:08:54.9185142Z  2025-09-09T14:08:54.9185216Z  2025-09-09T14:08:54.9185315Z  2025-09-09T14:08:54.9185392Z  2025-09-09T14:08:54.9185459Z  2025-09-09T14:08:54.9185531Z  2025-09-09T14:08:54.9185601Z  2025-09-09T14:08:54.9185669Z  2025-09-09T14:08:54.9185734Z  2025-09-09T14:08:54.9185809Z  2025-09-09T14:08:54.9185874Z  2025-09-09T14:08:54.9186007Z  2025-09-09T14:08:54.9186076Z  2025-09-09T14:08:54.9186157Z  2025-09-09T14:08:54.9186316Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9186560Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9186809Z importlib-resources  ------------------------------ 36.58 KiB/36.58 KiB 2025-09-09T14:08:54.9187075Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9187283Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9187514Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9187714Z tiktoken  ------------------------------ 1.09 MiB/1.13 MiB 2025-09-09T14:08:54.9187914Z pygments  ------------------------------ 687.35 KiB/1.17 MiB 2025-09-09T14:08:54.9188195Z sentencepiece  ------------------------------ 1.08 MiB/1.32 MiB 2025-09-09T14:08:54.9188397Z nltk  ------------------------------ 717.61 KiB/1.44 MiB 2025-09-09T14:08:54.9188616Z kiwisolver  ------------------------------ 1.06 MiB/1.53 MiB 2025-09-09T14:08:54.9287310Z aiohttp  ------------------------------ 979.56 KiB/1.56 MiB 2025-09-09T14:08:54.9287620Z pycryptodomex  ------------------------------ 684.88 KiB/2.17 MiB 2025-09-09T14:08:54.9287904Z hf-xet  ------------------------------ 1.07 MiB/3.04 MiB 2025-09-09T14:08:54.9288124Z tokenizers  ------------------------------ 1.17 MiB/3.19 MiB 2025-09-09T14:08:54.9288333Z fonttools  ------------------------------ 1.06 MiB/4.54 MiB 2025-09-09T14:08:54.9288599Z lxml  ------------------------------ 1.02 MiB/5.05 MiB 2025-09-09T14:08:54.9288818Z zstandard  ------------------------------ 1.10 MiB/5.30 MiB 2025-09-09T14:08:54.9289049Z virtualenv  ------------------------------ 1.15 MiB/5.71 MiB 2025-09-09T14:08:54.9289251Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9289507Z matplotlib  ------------------------------ 1.10 MiB/7.93 MiB 2025-09-09T14:08:54.9289699Z ruff  ------------------------------ 1.14 MiB/10.94 MiB 2025-09-09T14:08:54.9289954Z transformers  ------------------------------ 1004.61 KiB/11.07 MiB 2025-09-09T14:08:54.9290167Z pandas  ------------------------------ 1.09 MiB/11.79 MiB 2025-09-09T14:08:54.9290537Z  2025-09-09T14:08:54.9290751Z  2025-09-09T14:08:54.9290823Z  2025-09-09T14:08:54.9290936Z  2025-09-09T14:08:54.9291005Z  2025-09-09T14:08:54.9291072Z  2025-09-09T14:08:54.9291137Z  2025-09-09T14:08:54.9291209Z  2025-09-09T14:08:54.9291278Z  2025-09-09T14:08:54.9291381Z  2025-09-09T14:08:54.9291502Z  2025-09-09T14:08:54.9291577Z  2025-09-09T14:08:54.9291644Z  2025-09-09T14:08:54.9291717Z  2025-09-09T14:08:54.9291782Z  2025-09-09T14:08:54.9291847Z  2025-09-09T14:08:54.9291948Z  2025-09-09T14:08:54.9292022Z  2025-09-09T14:08:54.9292089Z  2025-09-09T14:08:54.9292155Z  2025-09-09T14:08:54.9292226Z  2025-09-09T14:08:54.9292292Z  2025-09-09T14:08:54.9292368Z  2025-09-09T14:08:54.9292594Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9292829Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9293090Z pytablewriter  ------------------------------ 78.26 KiB/88.95 KiB 2025-09-09T14:08:54.9293295Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9293548Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9293764Z tiktoken  ------------------------------ 1.09 MiB/1.13 MiB 2025-09-09T14:08:54.9294002Z pygments  ------------------------------ 687.35 KiB/1.17 MiB 2025-09-09T14:08:54.9294222Z sentencepiece  ------------------------------ 1.08 MiB/1.32 MiB 2025-09-09T14:08:54.9294410Z nltk  ------------------------------ 717.61 KiB/1.44 MiB 2025-09-09T14:08:54.9294674Z kiwisolver  ------------------------------ 1.06 MiB/1.53 MiB 2025-09-09T14:08:54.9294885Z aiohttp  ------------------------------ 979.56 KiB/1.56 MiB 2025-09-09T14:08:54.9295294Z pycryptodomex  ------------------------------ 684.88 KiB/2.17 MiB 2025-09-09T14:08:54.9295485Z hf-xet  ------------------------------ 1.07 MiB/3.04 MiB 2025-09-09T14:08:54.9295755Z tokenizers  ------------------------------ 1.17 MiB/3.19 MiB 2025-09-09T14:08:54.9295960Z fonttools  ------------------------------ 1.06 MiB/4.54 MiB 2025-09-09T14:08:54.9296175Z lxml  ------------------------------ 1.02 MiB/5.05 MiB 2025-09-09T14:08:54.9296370Z zstandard  ------------------------------ 1.10 MiB/5.30 MiB 2025-09-09T14:08:54.9296572Z virtualenv  ------------------------------ 1.15 MiB/5.71 MiB 2025-09-09T14:08:54.9296835Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9297038Z matplotlib  ------------------------------ 1.10 MiB/7.93 MiB 2025-09-09T14:08:54.9297273Z ruff  ------------------------------ 1.14 MiB/10.94 MiB 2025-09-09T14:08:54.9297500Z transformers  ------------------------------ 1004.61 KiB/11.07 MiB 2025-09-09T14:08:54.9297742Z pandas  ------------------------------ 1.09 MiB/11.79 MiB 2025-09-09T14:08:54.9297976Z scikit-learn  ------------------------------ 1.17 MiB/12.89 MiB 2025-09-09T14:08:54.9298046Z  2025-09-09T14:08:54.9298145Z  2025-09-09T14:08:54.9298222Z  2025-09-09T14:08:54.9298291Z  2025-09-09T14:08:54.9298358Z  2025-09-09T14:08:54.9298424Z  2025-09-09T14:08:54.9298843Z  2025-09-09T14:08:54.9298929Z  2025-09-09T14:08:54.9298995Z  2025-09-09T14:08:54.9299066Z  2025-09-09T14:08:54.9299172Z  2025-09-09T14:08:54.9299242Z  2025-09-09T14:08:54.9299311Z  2025-09-09T14:08:54.9299384Z  2025-09-09T14:08:54.9299450Z  2025-09-09T14:08:54.9299517Z  2025-09-09T14:08:54.9299584Z  2025-09-09T14:08:54.9299657Z  2025-09-09T14:08:54.9299792Z  2025-09-09T14:08:54.9299863Z  2025-09-09T14:08:54.9299942Z  2025-09-09T14:08:54.9300009Z  2025-09-09T14:08:54.9300074Z  2025-09-09T14:08:54.9300262Z ⠹ Preparing packages... (8/105) 2025-09-09T14:08:54.9300491Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9300681Z cfgv  ------------------------------ 7.08 KiB/7.08 KiB 2025-09-09T14:08:54.9300942Z aiosignal  ------------------------------ 7.31 KiB/7.31 KiB 2025-09-09T14:08:54.9301166Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9301477Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9301676Z tcolorpy  ------------------------------ 0 B/7.91 KiB 2025-09-09T14:08:54.9301935Z expecttest  ------------------------------ 0 B/8.04 KiB 2025-09-09T14:08:54.9302128Z cycler  ------------------------------ 8.13 KiB/8.13 KiB 2025-09-09T14:08:54.9302364Z jsonlines  ------------------------------ 8.50 KiB/8.50 KiB 2025-09-09T14:08:54.9302597Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9302834Z six  ------------------------------ 10.79 KiB/10.79 KiB 2025-09-09T14:08:54.9303059Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9303286Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9303506Z pytablewriter  ------------------------------ 88.95 KiB/88.95 KiB 2025-09-09T14:08:54.9303715Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9303972Z pytz  ------------------------------ 172.51 KiB/497.29 KiB 2025-09-09T14:08:54.9304170Z tiktoken  ------------------------------ 1.11 MiB/1.13 MiB 2025-09-09T14:08:54.9304411Z pygments  ------------------------------ 751.45 KiB/1.17 MiB 2025-09-09T14:08:54.9304629Z sentencepiece  ------------------------------ 1.11 MiB/1.32 MiB 2025-09-09T14:08:54.9304866Z nltk  ------------------------------ 733.61 KiB/1.44 MiB 2025-09-09T14:08:54.9305235Z kiwisolver  ------------------------------ 1.08 MiB/1.53 MiB 2025-09-09T14:08:54.9305477Z aiohttp  ------------------------------ 995.56 KiB/1.56 MiB 2025-09-09T14:08:54.9305706Z pycryptodomex  ------------------------------ 684.88 KiB/2.17 MiB 2025-09-09T14:08:54.9305784Z  2025-09-09T14:08:54.9305852Z  2025-09-09T14:08:54.9305973Z  2025-09-09T14:08:54.9306063Z  2025-09-09T14:08:54.9306138Z  2025-09-09T14:08:54.9306206Z  2025-09-09T14:08:54.9306272Z  2025-09-09T14:08:54.9306353Z  2025-09-09T14:08:54.9306451Z  2025-09-09T14:08:54.9306521Z  2025-09-09T14:08:54.9306588Z  2025-09-09T14:08:54.9306841Z  2025-09-09T14:08:54.9307031Z  2025-09-09T14:08:54.9307102Z  2025-09-09T14:08:54.9307169Z  2025-09-09T14:08:54.9307303Z  2025-09-09T14:08:54.9307382Z  2025-09-09T14:08:54.9307448Z  2025-09-09T14:08:54.9307521Z  2025-09-09T14:08:54.9307587Z  2025-09-09T14:08:54.9307653Z  2025-09-09T14:08:54.9307756Z  2025-09-09T14:08:54.9307830Z  2025-09-09T14:08:54.9307991Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9308207Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9308458Z cfgv  ------------------------------ 7.08 KiB/7.08 KiB 2025-09-09T14:08:54.9308657Z aiosignal  ------------------------------ 7.31 KiB/7.31 KiB 2025-09-09T14:08:54.9308888Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9309120Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9309359Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9309565Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9309776Z cycler  ------------------------------ 8.13 KiB/8.13 KiB 2025-09-09T14:08:54.9309985Z jsonlines  ------------------------------ 8.50 KiB/8.50 KiB 2025-09-09T14:08:54.9310205Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9310437Z six  ------------------------------ 10.79 KiB/10.79 KiB 2025-09-09T14:08:54.9310649Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9310889Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9311089Z tzdata  ------------------------------ 124.96 KiB/339.69 KiB 2025-09-09T14:08:54.9311286Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9311533Z tiktoken  ------------------------------ 1.12 MiB/1.13 MiB 2025-09-09T14:08:54.9744129Z pygments  ------------------------------ 767.45 KiB/1.17 MiB 2025-09-09T14:08:54.9744446Z sentencepiece  ------------------------------ 1.12 MiB/1.32 MiB 2025-09-09T14:08:54.9744680Z nltk  ------------------------------ 749.61 KiB/1.44 MiB 2025-09-09T14:08:54.9745135Z kiwisolver  ------------------------------ 1.11 MiB/1.53 MiB 2025-09-09T14:08:54.9745418Z aiohttp  ------------------------------ 995.56 KiB/1.56 MiB 2025-09-09T14:08:54.9745686Z pycryptodomex  ------------------------------ 684.88 KiB/2.17 MiB 2025-09-09T14:08:54.9745936Z hf-xet  ------------------------------ 1.11 MiB/3.04 MiB 2025-09-09T14:08:54.9746025Z  2025-09-09T14:08:54.9746106Z  2025-09-09T14:08:54.9746185Z  2025-09-09T14:08:54.9746271Z  2025-09-09T14:08:54.9746350Z  2025-09-09T14:08:54.9746431Z  2025-09-09T14:08:54.9746515Z  2025-09-09T14:08:54.9746593Z  2025-09-09T14:08:54.9746675Z  2025-09-09T14:08:54.9746762Z  2025-09-09T14:08:54.9746846Z  2025-09-09T14:08:54.9746926Z  2025-09-09T14:08:54.9747005Z  2025-09-09T14:08:54.9747091Z  2025-09-09T14:08:54.9747170Z  2025-09-09T14:08:54.9747249Z  2025-09-09T14:08:54.9747340Z  2025-09-09T14:08:54.9747740Z  2025-09-09T14:08:54.9747819Z  2025-09-09T14:08:54.9747894Z  2025-09-09T14:08:54.9747970Z  2025-09-09T14:08:54.9748061Z  2025-09-09T14:08:54.9748138Z  2025-09-09T14:08:54.9748312Z  Building word2number==1.1 2025-09-09T14:08:54.9748466Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9748614Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9748773Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9749026Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9749253Z cfgv  ------------------------------ 7.08 KiB/7.08 KiB 2025-09-09T14:08:54.9749482Z aiosignal  ------------------------------ 7.31 KiB/7.31 KiB 2025-09-09T14:08:54.9749716Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9749963Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9750182Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9750408Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9750623Z cycler  ------------------------------ 8.13 KiB/8.13 KiB 2025-09-09T14:08:54.9750846Z jsonlines  ------------------------------ 8.50 KiB/8.50 KiB 2025-09-09T14:08:54.9751099Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9751337Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9751561Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9751792Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9752137Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9752364Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9752590Z pygments  ------------------------------ 783.45 KiB/1.17 MiB 2025-09-09T14:08:54.9752836Z sentencepiece  ------------------------------ 1.14 MiB/1.32 MiB 2025-09-09T14:08:54.9753045Z nltk  ------------------------------ 765.61 KiB/1.44 MiB 2025-09-09T14:08:54.9753274Z kiwisolver  ------------------------------ 1.12 MiB/1.53 MiB 2025-09-09T14:08:54.9753524Z aiohttp  ------------------------------ 1011.56 KiB/1.56 MiB 2025-09-09T14:08:54.9753607Z  2025-09-09T14:08:54.9753681Z  2025-09-09T14:08:54.9753759Z  2025-09-09T14:08:54.9753840Z  2025-09-09T14:08:54.9753917Z  2025-09-09T14:08:54.9753991Z  2025-09-09T14:08:54.9754065Z  2025-09-09T14:08:54.9754155Z  2025-09-09T14:08:54.9754232Z  2025-09-09T14:08:54.9754308Z  2025-09-09T14:08:54.9754392Z  2025-09-09T14:08:54.9754467Z  2025-09-09T14:08:54.9754542Z  2025-09-09T14:08:54.9754617Z  2025-09-09T14:08:54.9754700Z  2025-09-09T14:08:54.9754773Z  2025-09-09T14:08:54.9754850Z  2025-09-09T14:08:54.9754929Z  2025-09-09T14:08:54.9755211Z  2025-09-09T14:08:54.9755288Z  2025-09-09T14:08:54.9755363Z  2025-09-09T14:08:54.9755442Z  2025-09-09T14:08:54.9755518Z  2025-09-09T14:08:54.9755686Z  Building word2number==1.1 2025-09-09T14:08:54.9756463Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9756629Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9756778Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9757031Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9757268Z aiosignal  ------------------------------ 7.31 KiB/7.31 KiB 2025-09-09T14:08:54.9757490Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9757714Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9757912Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9758130Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9758337Z cycler  ------------------------------ 8.13 KiB/8.13 KiB 2025-09-09T14:08:54.9758541Z jsonlines  ------------------------------ 8.50 KiB/8.50 KiB 2025-09-09T14:08:54.9758761Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9758969Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9759169Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9759369Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9759562Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9759762Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9759968Z pygments  ------------------------------ 783.45 KiB/1.17 MiB 2025-09-09T14:08:54.9760184Z sentencepiece  ------------------------------ 1.15 MiB/1.32 MiB 2025-09-09T14:08:54.9760371Z nltk  ------------------------------ 765.61 KiB/1.44 MiB 2025-09-09T14:08:54.9760580Z kiwisolver  ------------------------------ 1.12 MiB/1.53 MiB 2025-09-09T14:08:54.9760783Z aiohttp  ------------------------------ 1011.56 KiB/1.56 MiB 2025-09-09T14:08:54.9761015Z pycryptodomex  ------------------------------ 716.88 KiB/2.17 MiB 2025-09-09T14:08:54.9761094Z  2025-09-09T14:08:54.9761163Z  2025-09-09T14:08:54.9761232Z  2025-09-09T14:08:54.9761322Z  2025-09-09T14:08:54.9761393Z  2025-09-09T14:08:54.9761461Z  2025-09-09T14:08:54.9761528Z  2025-09-09T14:08:54.9761612Z  2025-09-09T14:08:54.9761685Z  2025-09-09T14:08:54.9761754Z  2025-09-09T14:08:54.9761820Z  2025-09-09T14:08:54.9761893Z  2025-09-09T14:08:54.9761962Z  2025-09-09T14:08:54.9762028Z  2025-09-09T14:08:54.9762101Z  2025-09-09T14:08:54.9762167Z  2025-09-09T14:08:54.9762236Z  2025-09-09T14:08:54.9762303Z  2025-09-09T14:08:54.9762379Z  2025-09-09T14:08:54.9762490Z  2025-09-09T14:08:54.9762559Z  2025-09-09T14:08:54.9762628Z  2025-09-09T14:08:54.9762695Z  2025-09-09T14:08:54.9762857Z  Building word2number==1.1 2025-09-09T14:08:54.9762994Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9763130Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9763269Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9763476Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9763920Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9764127Z aiosignal  ------------------------------ 7.31 KiB/7.31 KiB 2025-09-09T14:08:54.9764330Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9764539Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9764736Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9765184Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9765391Z jsonlines  ------------------------------ 8.50 KiB/8.50 KiB 2025-09-09T14:08:54.9765615Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9765842Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9766037Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9766242Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9766442Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9766641Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9766849Z pygments  ------------------------------ 783.45 KiB/1.17 MiB 2025-09-09T14:08:54.9767070Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9767259Z nltk  ------------------------------ 765.61 KiB/1.44 MiB 2025-09-09T14:08:54.9767475Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9767687Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9767931Z pycryptodomex  ------------------------------ 716.88 KiB/2.17 MiB 2025-09-09T14:08:54.9768004Z  2025-09-09T14:08:54.9768073Z  2025-09-09T14:08:54.9768149Z  2025-09-09T14:08:54.9768217Z  2025-09-09T14:08:54.9768287Z  2025-09-09T14:08:54.9768363Z  2025-09-09T14:08:54.9768431Z  2025-09-09T14:08:54.9768499Z  2025-09-09T14:08:54.9768567Z  2025-09-09T14:08:54.9768642Z  2025-09-09T14:08:54.9768709Z  2025-09-09T14:08:54.9768777Z  2025-09-09T14:08:54.9768849Z  2025-09-09T14:08:54.9768923Z  2025-09-09T14:08:54.9769006Z  2025-09-09T14:08:54.9769079Z  2025-09-09T14:08:54.9769155Z  2025-09-09T14:08:54.9769229Z  2025-09-09T14:08:54.9769296Z  2025-09-09T14:08:54.9769362Z  2025-09-09T14:08:54.9769434Z  2025-09-09T14:08:54.9769501Z  2025-09-09T14:08:54.9769567Z  2025-09-09T14:08:54.9769727Z  Building word2number==1.1 2025-09-09T14:08:54.9769861Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9769996Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9770127Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9770339Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9770556Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9770753Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9771115Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9771454Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9771656Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9771857Z jsonlines  ------------------------------ 8.50 KiB/8.50 KiB 2025-09-09T14:08:54.9772080Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9772288Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9772489Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9772692Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9772892Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9773096Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9773296Z pygments  ------------------------------ 783.45 KiB/1.17 MiB 2025-09-09T14:08:54.9773508Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9773701Z nltk  ------------------------------ 765.61 KiB/1.44 MiB 2025-09-09T14:08:54.9773904Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9774097Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9774312Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9774522Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9774599Z  2025-09-09T14:08:54.9774667Z  2025-09-09T14:08:54.9774742Z  2025-09-09T14:08:54.9774808Z  2025-09-09T14:08:54.9774876Z  2025-09-09T14:08:54.9775160Z  2025-09-09T14:08:54.9775238Z  2025-09-09T14:08:54.9775306Z  2025-09-09T14:08:54.9775374Z  2025-09-09T14:08:54.9775450Z  2025-09-09T14:08:54.9775521Z  2025-09-09T14:08:54.9775588Z  2025-09-09T14:08:54.9775654Z  2025-09-09T14:08:54.9775727Z  2025-09-09T14:08:54.9775795Z  2025-09-09T14:08:54.9775863Z  2025-09-09T14:08:54.9775931Z  2025-09-09T14:08:54.9776004Z  2025-09-09T14:08:54.9776084Z  2025-09-09T14:08:54.9776155Z  2025-09-09T14:08:54.9776229Z  2025-09-09T14:08:54.9776299Z  2025-09-09T14:08:54.9776368Z  2025-09-09T14:08:54.9776531Z  Building word2number==1.1 2025-09-09T14:08:54.9776681Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9776822Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9776953Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9777163Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9777376Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9777573Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9777783Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9777976Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9778176Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9778642Z jsonlines  ------------------------------ 8.50 KiB/8.50 KiB 2025-09-09T14:08:54.9778869Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9779074Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9779277Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9779475Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9779668Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9779862Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9780067Z pygments  ------------------------------ 783.45 KiB/1.17 MiB 2025-09-09T14:08:54.9780289Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9780478Z nltk  ------------------------------ 781.61 KiB/1.44 MiB 2025-09-09T14:08:54.9780685Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9780879Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9781097Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9781302Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9781371Z  2025-09-09T14:08:54.9781444Z  2025-09-09T14:08:54.9781523Z  2025-09-09T14:08:54.9781601Z  2025-09-09T14:08:54.9781668Z  2025-09-09T14:08:54.9781737Z  2025-09-09T14:08:54.9781813Z  2025-09-09T14:08:54.9781886Z  2025-09-09T14:08:54.9781959Z  2025-09-09T14:08:54.9782026Z  2025-09-09T14:08:54.9782105Z  2025-09-09T14:08:54.9782175Z  2025-09-09T14:08:54.9782243Z  2025-09-09T14:08:54.9782315Z  2025-09-09T14:08:54.9782384Z  2025-09-09T14:08:54.9782451Z  2025-09-09T14:08:54.9782518Z  2025-09-09T14:08:54.9782594Z  2025-09-09T14:08:54.9782661Z  2025-09-09T14:08:54.9782728Z  2025-09-09T14:08:54.9782801Z  2025-09-09T14:08:54.9782870Z  2025-09-09T14:08:54.9782936Z  2025-09-09T14:08:54.9783085Z  Building word2number==1.1 2025-09-09T14:08:54.9783219Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9783350Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9783477Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9783688Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9783906Z async-timeout  ------------------------------ 6.09 KiB/6.09 KiB 2025-09-09T14:08:54.9784102Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9784304Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9784502Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9784700Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9784920Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9785307Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9785501Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9785959Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9786164Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9786362Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9786565Z pygments  ------------------------------ 783.45 KiB/1.17 MiB 2025-09-09T14:08:54.9786783Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9786994Z nltk  ------------------------------ 781.61 KiB/1.44 MiB 2025-09-09T14:08:54.9787200Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9787396Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9787621Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9787809Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9788025Z tokenizers  ------------------------------ 1.24 MiB/3.19 MiB 2025-09-09T14:08:54.9788095Z  2025-09-09T14:08:54.9788162Z  2025-09-09T14:08:54.9788230Z  2025-09-09T14:08:54.9788304Z  2025-09-09T14:08:54.9788370Z  2025-09-09T14:08:54.9788440Z  2025-09-09T14:08:54.9788513Z  2025-09-09T14:08:54.9788581Z  2025-09-09T14:08:54.9788648Z  2025-09-09T14:08:54.9788714Z  2025-09-09T14:08:54.9788788Z  2025-09-09T14:08:54.9788860Z  2025-09-09T14:08:54.9788928Z  2025-09-09T14:08:54.9788995Z  2025-09-09T14:08:54.9789068Z  2025-09-09T14:08:54.9789136Z  2025-09-09T14:08:54.9789209Z  2025-09-09T14:08:54.9789290Z  2025-09-09T14:08:54.9789358Z  2025-09-09T14:08:54.9789426Z  2025-09-09T14:08:54.9789495Z  2025-09-09T14:08:54.9789568Z  2025-09-09T14:08:54.9789637Z  2025-09-09T14:08:54.9789787Z  Building word2number==1.1 2025-09-09T14:08:54.9789922Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9790057Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9790195Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9790396Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9790603Z termcolor  ------------------------------ 7.50 KiB/7.50 KiB 2025-09-09T14:08:54.9790808Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9791007Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9791219Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9791439Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9791642Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9791843Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9792189Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9792386Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9792582Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9792891Z pygments  ------------------------------ 799.45 KiB/1.17 MiB 2025-09-09T14:08:54.9793203Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9793391Z nltk  ------------------------------ 781.61 KiB/1.44 MiB 2025-09-09T14:08:54.9793591Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9793790Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9794019Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9794204Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9794410Z tokenizers  ------------------------------ 1.24 MiB/3.19 MiB 2025-09-09T14:08:54.9794624Z fonttools  ------------------------------ 1.13 MiB/4.54 MiB 2025-09-09T14:08:54.9794702Z  2025-09-09T14:08:54.9794777Z  2025-09-09T14:08:54.9794845Z  2025-09-09T14:08:54.9794914Z  2025-09-09T14:08:54.9795176Z  2025-09-09T14:08:54.9795259Z  2025-09-09T14:08:54.9795329Z  2025-09-09T14:08:54.9795400Z  2025-09-09T14:08:54.9795478Z  2025-09-09T14:08:54.9795546Z  2025-09-09T14:08:54.9795613Z  2025-09-09T14:08:54.9795692Z  2025-09-09T14:08:54.9795769Z  2025-09-09T14:08:54.9795837Z  2025-09-09T14:08:54.9795906Z  2025-09-09T14:08:54.9795974Z  2025-09-09T14:08:54.9796048Z  2025-09-09T14:08:54.9796117Z  2025-09-09T14:08:54.9796185Z  2025-09-09T14:08:54.9796260Z  2025-09-09T14:08:54.9796329Z  2025-09-09T14:08:54.9796397Z  2025-09-09T14:08:54.9796464Z  2025-09-09T14:08:54.9796618Z  Building word2number==1.1 2025-09-09T14:08:54.9796766Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9796897Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9797030Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9797231Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9797440Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9797645Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9797842Z expecttest  ------------------------------ 8.04 KiB/8.04 KiB 2025-09-09T14:08:54.9798059Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9798262Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9798476Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9798674Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9798863Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9799064Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9799263Z pygments  ------------------------------ 799.45 KiB/1.17 MiB 2025-09-09T14:08:54.9799473Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9799663Z nltk  ------------------------------ 781.61 KiB/1.44 MiB 2025-09-09T14:08:54.9799864Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9800343Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9800584Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9800770Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9800971Z tokenizers  ------------------------------ 1.24 MiB/3.19 MiB 2025-09-09T14:08:54.9801178Z fonttools  ------------------------------ 1.13 MiB/4.54 MiB 2025-09-09T14:08:54.9801371Z lxml  ------------------------------ 1.10 MiB/5.05 MiB 2025-09-09T14:08:54.9801442Z  2025-09-09T14:08:54.9801517Z  2025-09-09T14:08:54.9801586Z  2025-09-09T14:08:54.9801653Z  2025-09-09T14:08:54.9801721Z  2025-09-09T14:08:54.9801792Z  2025-09-09T14:08:54.9801859Z  2025-09-09T14:08:54.9801938Z  2025-09-09T14:08:54.9802006Z  2025-09-09T14:08:54.9802092Z  2025-09-09T14:08:54.9802162Z  2025-09-09T14:08:54.9802229Z  2025-09-09T14:08:54.9802302Z  2025-09-09T14:08:54.9802370Z  2025-09-09T14:08:54.9802440Z  2025-09-09T14:08:54.9802510Z  2025-09-09T14:08:54.9802584Z  2025-09-09T14:08:54.9802652Z  2025-09-09T14:08:54.9802719Z  2025-09-09T14:08:54.9802789Z  2025-09-09T14:08:54.9802865Z  2025-09-09T14:08:54.9802934Z  2025-09-09T14:08:54.9803001Z  2025-09-09T14:08:54.9803158Z  Building word2number==1.1 2025-09-09T14:08:54.9803290Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9803423Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9803551Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9803759Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9803974Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9804170Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9804397Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9804598Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9804792Z typepy  ------------------------------ 20.42 KiB/30.71 KiB 2025-09-09T14:08:54.9805246Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9805444Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9805650Z tiktoken  ------------------------------ 1.13 MiB/1.13 MiB 2025-09-09T14:08:54.9805861Z pygments  ------------------------------ 799.45 KiB/1.17 MiB 2025-09-09T14:08:54.9806073Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9806261Z nltk  ------------------------------ 781.61 KiB/1.44 MiB 2025-09-09T14:08:54.9806470Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9806662Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9806877Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9807068Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9807421Z tokenizers  ------------------------------ 1.24 MiB/3.19 MiB 2025-09-09T14:08:54.9807742Z fonttools  ------------------------------ 1.13 MiB/4.54 MiB 2025-09-09T14:08:54.9807931Z lxml  ------------------------------ 1.10 MiB/5.05 MiB 2025-09-09T14:08:54.9808138Z zstandard  ------------------------------ 1.17 MiB/5.30 MiB 2025-09-09T14:08:54.9808210Z  2025-09-09T14:08:54.9808279Z  2025-09-09T14:08:54.9808355Z  2025-09-09T14:08:54.9808424Z  2025-09-09T14:08:54.9808491Z  2025-09-09T14:08:54.9808566Z  2025-09-09T14:08:54.9808635Z  2025-09-09T14:08:54.9808703Z  2025-09-09T14:08:54.9808772Z  2025-09-09T14:08:54.9808850Z  2025-09-09T14:08:54.9808919Z  2025-09-09T14:08:54.9808989Z  2025-09-09T14:08:54.9809058Z  2025-09-09T14:08:54.9809134Z  2025-09-09T14:08:54.9809204Z  2025-09-09T14:08:54.9809279Z  2025-09-09T14:08:54.9809359Z  2025-09-09T14:08:54.9809430Z  2025-09-09T14:08:54.9809494Z  2025-09-09T14:08:54.9809562Z  2025-09-09T14:08:54.9809637Z  2025-09-09T14:08:54.9809705Z  2025-09-09T14:08:54.9809775Z  2025-09-09T14:08:54.9809921Z  Building word2number==1.1 2025-09-09T14:08:54.9810060Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9810193Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9810331Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9810537Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9810743Z mbstrdecoder  ------------------------------ 7.75 KiB/7.75 KiB 2025-09-09T14:08:54.9810935Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9811173Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9811374Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9811568Z typepy  ------------------------------ 30.71 KiB/30.71 KiB 2025-09-09T14:08:54.9811771Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9811962Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9812162Z pygments  ------------------------------ 799.45 KiB/1.17 MiB 2025-09-09T14:08:54.9812380Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9812564Z nltk  ------------------------------ 781.61 KiB/1.44 MiB 2025-09-09T14:08:54.9812775Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9812972Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9813187Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9813373Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9813571Z tokenizers  ------------------------------ 1.24 MiB/3.19 MiB 2025-09-09T14:08:54.9813774Z fonttools  ------------------------------ 1.13 MiB/4.54 MiB 2025-09-09T14:08:54.9813954Z lxml  ------------------------------ 1.10 MiB/5.05 MiB 2025-09-09T14:08:54.9834928Z zstandard  ------------------------------ 1.17 MiB/5.30 MiB 2025-09-09T14:08:54.9835529Z virtualenv  ------------------------------ 1.24 MiB/5.71 MiB 2025-09-09T14:08:54.9835724Z  2025-09-09T14:08:54.9835794Z  2025-09-09T14:08:54.9835868Z  2025-09-09T14:08:54.9835943Z  2025-09-09T14:08:54.9836011Z  2025-09-09T14:08:54.9836085Z  2025-09-09T14:08:54.9836155Z  2025-09-09T14:08:54.9836224Z  2025-09-09T14:08:54.9836292Z  2025-09-09T14:08:54.9836366Z  2025-09-09T14:08:54.9836435Z  2025-09-09T14:08:54.9836502Z  2025-09-09T14:08:54.9836569Z  2025-09-09T14:08:54.9836642Z  2025-09-09T14:08:54.9836710Z  2025-09-09T14:08:54.9836786Z  2025-09-09T14:08:54.9836857Z  2025-09-09T14:08:54.9836964Z  2025-09-09T14:08:54.9837042Z  2025-09-09T14:08:54.9837112Z  2025-09-09T14:08:54.9837180Z  2025-09-09T14:08:54.9837248Z  2025-09-09T14:08:54.9837321Z  2025-09-09T14:08:54.9837477Z  Building word2number==1.1 2025-09-09T14:08:54.9837629Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9837768Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9837905Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9838108Z iniconfig  ------------------------------ 0 B/5.91 KiB 2025-09-09T14:08:54.9838315Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9838538Z tqdm-multiprocess  ------------------------------ 9.59 KiB/9.59 KiB 2025-09-09T14:08:54.9838747Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9838951Z typepy  ------------------------------ 30.71 KiB/30.71 KiB 2025-09-09T14:08:54.9839152Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9839359Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9839576Z pygments  ------------------------------ 799.45 KiB/1.17 MiB 2025-09-09T14:08:54.9839796Z sentencepiece  ------------------------------ 1.17 MiB/1.32 MiB 2025-09-09T14:08:54.9839988Z nltk  ------------------------------ 781.61 KiB/1.44 MiB 2025-09-09T14:08:54.9840197Z kiwisolver  ------------------------------ 1.14 MiB/1.53 MiB 2025-09-09T14:08:54.9840398Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9840616Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9840804Z hf-xet  ------------------------------ 1.15 MiB/3.04 MiB 2025-09-09T14:08:54.9841024Z tokenizers  ------------------------------ 1.24 MiB/3.19 MiB 2025-09-09T14:08:54.9841226Z fonttools  ------------------------------ 1.13 MiB/4.54 MiB 2025-09-09T14:08:54.9841409Z lxml  ------------------------------ 1.10 MiB/5.05 MiB 2025-09-09T14:08:54.9841615Z zstandard  ------------------------------ 1.17 MiB/5.30 MiB 2025-09-09T14:08:54.9841817Z virtualenv  ------------------------------ 1.24 MiB/5.71 MiB 2025-09-09T14:08:54.9842029Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9842108Z  2025-09-09T14:08:54.9842179Z  2025-09-09T14:08:54.9842247Z  2025-09-09T14:08:54.9842315Z  2025-09-09T14:08:54.9842393Z  2025-09-09T14:08:54.9842461Z  2025-09-09T14:08:54.9842652Z  2025-09-09T14:08:54.9842815Z  2025-09-09T14:08:54.9842888Z  2025-09-09T14:08:54.9842958Z  2025-09-09T14:08:54.9843027Z  2025-09-09T14:08:54.9843102Z  2025-09-09T14:08:54.9843171Z  2025-09-09T14:08:54.9843242Z  2025-09-09T14:08:54.9843310Z  2025-09-09T14:08:54.9843387Z  2025-09-09T14:08:54.9843455Z  2025-09-09T14:08:54.9843523Z  2025-09-09T14:08:54.9843598Z  2025-09-09T14:08:54.9843668Z  2025-09-09T14:08:54.9843736Z  2025-09-09T14:08:54.9843803Z  2025-09-09T14:08:54.9843879Z  2025-09-09T14:08:54.9844035Z  Building word2number==1.1 2025-09-09T14:08:54.9844169Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9844315Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9844445Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9844656Z iniconfig  ------------------------------ 5.91 KiB/5.91 KiB 2025-09-09T14:08:54.9844862Z tcolorpy  ------------------------------ 7.91 KiB/7.91 KiB 2025-09-09T14:08:54.9845289Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9845491Z typepy  ------------------------------ 30.71 KiB/30.71 KiB 2025-09-09T14:08:54.9845689Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9845886Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9846090Z pygments  ------------------------------ 799.45 KiB/1.17 MiB 2025-09-09T14:08:54.9846302Z sentencepiece  ------------------------------ 1.18 MiB/1.32 MiB 2025-09-09T14:08:54.9846516Z nltk  ------------------------------ 797.61 KiB/1.44 MiB 2025-09-09T14:08:54.9846727Z kiwisolver  ------------------------------ 1.16 MiB/1.53 MiB 2025-09-09T14:08:54.9846926Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9847146Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9847333Z hf-xet  ------------------------------ 1.16 MiB/3.04 MiB 2025-09-09T14:08:54.9847535Z tokenizers  ------------------------------ 1.27 MiB/3.19 MiB 2025-09-09T14:08:54.9847738Z fonttools  ------------------------------ 1.14 MiB/4.54 MiB 2025-09-09T14:08:54.9847920Z lxml  ------------------------------ 1.12 MiB/5.05 MiB 2025-09-09T14:08:54.9848119Z zstandard  ------------------------------ 1.18 MiB/5.30 MiB 2025-09-09T14:08:54.9848326Z virtualenv  ------------------------------ 1.24 MiB/5.71 MiB 2025-09-09T14:08:54.9848519Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9848737Z matplotlib  ------------------------------ 1.18 MiB/7.93 MiB 2025-09-09T14:08:54.9848817Z  2025-09-09T14:08:54.9848886Z  2025-09-09T14:08:54.9848953Z  2025-09-09T14:08:54.9849021Z  2025-09-09T14:08:54.9849094Z  2025-09-09T14:08:54.9849162Z  2025-09-09T14:08:54.9849230Z  2025-09-09T14:08:54.9849297Z  2025-09-09T14:08:54.9849371Z  2025-09-09T14:08:54.9849438Z  2025-09-09T14:08:54.9849505Z  2025-09-09T14:08:54.9849581Z  2025-09-09T14:08:54.9849648Z  2025-09-09T14:08:54.9849715Z  2025-09-09T14:08:54.9849782Z  2025-09-09T14:08:54.9850023Z  2025-09-09T14:08:54.9850224Z  2025-09-09T14:08:54.9850297Z  2025-09-09T14:08:54.9850365Z  2025-09-09T14:08:54.9850439Z  2025-09-09T14:08:54.9850510Z  2025-09-09T14:08:54.9850592Z  2025-09-09T14:08:54.9850670Z  2025-09-09T14:08:54.9850822Z  Building word2number==1.1 2025-09-09T14:08:54.9850955Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9851089Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9851222Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9851426Z iniconfig  ------------------------------ 5.91 KiB/5.91 KiB 2025-09-09T14:08:54.9851631Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9851833Z typepy  ------------------------------ 30.71 KiB/30.71 KiB 2025-09-09T14:08:54.9852047Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:54.9852241Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:54.9852449Z pygments  ------------------------------ 815.45 KiB/1.17 MiB 2025-09-09T14:08:54.9852663Z sentencepiece  ------------------------------ 1.20 MiB/1.32 MiB 2025-09-09T14:08:54.9852851Z nltk  ------------------------------ 797.61 KiB/1.44 MiB 2025-09-09T14:08:54.9853060Z kiwisolver  ------------------------------ 1.17 MiB/1.53 MiB 2025-09-09T14:08:54.9853253Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:54.9853471Z pycryptodomex  ------------------------------ 748.98 KiB/2.17 MiB 2025-09-09T14:08:54.9853674Z hf-xet  ------------------------------ 1.18 MiB/3.04 MiB 2025-09-09T14:08:54.9853876Z tokenizers  ------------------------------ 1.29 MiB/3.19 MiB 2025-09-09T14:08:54.9854075Z fonttools  ------------------------------ 1.16 MiB/4.54 MiB 2025-09-09T14:08:54.9854263Z lxml  ------------------------------ 1.13 MiB/5.05 MiB 2025-09-09T14:08:54.9854459Z zstandard  ------------------------------ 1.20 MiB/5.30 MiB 2025-09-09T14:08:54.9854660Z virtualenv  ------------------------------ 1.26 MiB/5.71 MiB 2025-09-09T14:08:54.9854860Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:54.9855336Z matplotlib  ------------------------------ 1.20 MiB/7.93 MiB 2025-09-09T14:08:54.9855553Z ruff  ------------------------------ 1.24 MiB/10.94 MiB 2025-09-09T14:08:54.9855624Z  2025-09-09T14:08:54.9855700Z  2025-09-09T14:08:54.9855772Z  2025-09-09T14:08:54.9855841Z  2025-09-09T14:08:54.9855917Z  2025-09-09T14:08:54.9855985Z  2025-09-09T14:08:54.9856053Z  2025-09-09T14:08:54.9856123Z  2025-09-09T14:08:54.9856199Z  2025-09-09T14:08:54.9856269Z  2025-09-09T14:08:54.9856337Z  2025-09-09T14:08:54.9856406Z  2025-09-09T14:08:54.9856482Z  2025-09-09T14:08:54.9856552Z  2025-09-09T14:08:54.9856619Z  2025-09-09T14:08:54.9856696Z  2025-09-09T14:08:54.9856772Z  2025-09-09T14:08:54.9856844Z  2025-09-09T14:08:54.9856915Z  2025-09-09T14:08:54.9856991Z  2025-09-09T14:08:54.9857061Z  2025-09-09T14:08:54.9857131Z  2025-09-09T14:08:54.9857198Z  2025-09-09T14:08:54.9857498Z  Building word2number==1.1 2025-09-09T14:08:54.9857762Z Building sqlitedict==2.1.0 2025-09-09T14:08:54.9857900Z Building rouge-score==0.1.2 2025-09-09T14:08:54.9858035Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:54.9858240Z iniconfig  ------------------------------ 5.91 KiB/5.91 KiB 2025-09-09T14:08:54.9858443Z tabledata  ------------------------------ 11.54 KiB/11.54 KiB 2025-09-09T14:08:54.9858649Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:55.0166687Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:55.0166994Z pygments  ------------------------------ 831.45 KiB/1.17 MiB 2025-09-09T14:08:55.0167308Z sentencepiece  ------------------------------ 1.20 MiB/1.32 MiB 2025-09-09T14:08:55.0167565Z nltk  ------------------------------ 813.61 KiB/1.44 MiB 2025-09-09T14:08:55.0167829Z kiwisolver  ------------------------------ 1.17 MiB/1.53 MiB 2025-09-09T14:08:55.0168069Z aiohttp  ------------------------------ 1.00 MiB/1.56 MiB 2025-09-09T14:08:55.0168332Z pycryptodomex  ------------------------------ 764.98 KiB/2.17 MiB 2025-09-09T14:08:55.0168560Z hf-xet  ------------------------------ 1.18 MiB/3.04 MiB 2025-09-09T14:08:55.0168810Z tokenizers  ------------------------------ 1.29 MiB/3.19 MiB 2025-09-09T14:08:55.0169060Z fonttools  ------------------------------ 1.16 MiB/4.54 MiB 2025-09-09T14:08:55.0169279Z lxml  ------------------------------ 1.13 MiB/5.05 MiB 2025-09-09T14:08:55.0169525Z zstandard  ------------------------------ 1.20 MiB/5.30 MiB 2025-09-09T14:08:55.0169770Z virtualenv  ------------------------------ 1.26 MiB/5.71 MiB 2025-09-09T14:08:55.0170004Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:55.0170244Z matplotlib  ------------------------------ 1.20 MiB/7.93 MiB 2025-09-09T14:08:55.0170473Z ruff  ------------------------------ 1.24 MiB/10.94 MiB 2025-09-09T14:08:55.0170752Z transformers  ------------------------------ 1.07 MiB/11.07 MiB 2025-09-09T14:08:55.0170836Z  2025-09-09T14:08:55.0170919Z  2025-09-09T14:08:55.0170997Z  2025-09-09T14:08:55.0171073Z  2025-09-09T14:08:55.0171152Z  2025-09-09T14:08:55.0171235Z  2025-09-09T14:08:55.0171333Z  2025-09-09T14:08:55.0171413Z  2025-09-09T14:08:55.0171496Z  2025-09-09T14:08:55.0171573Z  2025-09-09T14:08:55.0171651Z  2025-09-09T14:08:55.0171730Z  2025-09-09T14:08:55.0171813Z  2025-09-09T14:08:55.0171891Z  2025-09-09T14:08:55.0171968Z  2025-09-09T14:08:55.0172045Z  2025-09-09T14:08:55.0172130Z  2025-09-09T14:08:55.0172211Z  2025-09-09T14:08:55.0172289Z  2025-09-09T14:08:55.0172373Z  2025-09-09T14:08:55.0172451Z  2025-09-09T14:08:55.0172527Z  2025-09-09T14:08:55.0172604Z  2025-09-09T14:08:55.0172795Z  Building word2number==1.1 2025-09-09T14:08:55.0172957Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.0173113Z Building rouge-score==0.1.2 2025-09-09T14:08:55.0173291Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.0173775Z iniconfig  ------------------------------ 5.91 KiB/5.91 KiB 2025-09-09T14:08:55.0174163Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:55.0174404Z pytz  ------------------------------ 188.51 KiB/497.29 KiB 2025-09-09T14:08:55.0174651Z pygments  ------------------------------ 847.45 KiB/1.17 MiB 2025-09-09T14:08:55.0174915Z sentencepiece  ------------------------------ 1.20 MiB/1.32 MiB 2025-09-09T14:08:55.0175634Z nltk  ------------------------------ 829.61 KiB/1.44 MiB 2025-09-09T14:08:55.0175893Z kiwisolver  ------------------------------ 1.17 MiB/1.53 MiB 2025-09-09T14:08:55.0176125Z aiohttp  ------------------------------ 1.08 MiB/1.56 MiB 2025-09-09T14:08:55.0176395Z pycryptodomex  ------------------------------ 764.98 KiB/2.17 MiB 2025-09-09T14:08:55.0176630Z hf-xet  ------------------------------ 1.18 MiB/3.04 MiB 2025-09-09T14:08:55.0176873Z tokenizers  ------------------------------ 1.29 MiB/3.19 MiB 2025-09-09T14:08:55.0177109Z fonttools  ------------------------------ 1.16 MiB/4.54 MiB 2025-09-09T14:08:55.0177308Z lxml  ------------------------------ 1.13 MiB/5.05 MiB 2025-09-09T14:08:55.0177535Z zstandard  ------------------------------ 1.20 MiB/5.30 MiB 2025-09-09T14:08:55.0177746Z virtualenv  ------------------------------ 1.26 MiB/5.71 MiB 2025-09-09T14:08:55.0177944Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:55.0178153Z matplotlib  ------------------------------ 1.20 MiB/7.93 MiB 2025-09-09T14:08:55.0178350Z ruff  ------------------------------ 1.24 MiB/10.94 MiB 2025-09-09T14:08:55.0178560Z transformers  ------------------------------ 1.07 MiB/11.07 MiB 2025-09-09T14:08:55.0178766Z pandas  ------------------------------ 1.19 MiB/11.79 MiB 2025-09-09T14:08:55.0178843Z  2025-09-09T14:08:55.0178912Z  2025-09-09T14:08:55.0178980Z  2025-09-09T14:08:55.0179047Z  2025-09-09T14:08:55.0179120Z  2025-09-09T14:08:55.0179186Z  2025-09-09T14:08:55.0179264Z  2025-09-09T14:08:55.0179333Z  2025-09-09T14:08:55.0179407Z  2025-09-09T14:08:55.0179475Z  2025-09-09T14:08:55.0179543Z  2025-09-09T14:08:55.0179619Z  2025-09-09T14:08:55.0179685Z  2025-09-09T14:08:55.0179752Z  2025-09-09T14:08:55.0179823Z  2025-09-09T14:08:55.0179903Z  2025-09-09T14:08:55.0179981Z  2025-09-09T14:08:55.0180050Z  2025-09-09T14:08:55.0180121Z  2025-09-09T14:08:55.0180197Z  2025-09-09T14:08:55.0180265Z  2025-09-09T14:08:55.0180333Z  2025-09-09T14:08:55.0180407Z  2025-09-09T14:08:55.0180564Z  Building word2number==1.1 2025-09-09T14:08:55.0180701Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.0180838Z Building rouge-score==0.1.2 2025-09-09T14:08:55.0180988Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.0181204Z tzdata  ------------------------------ 140.96 KiB/339.69 KiB 2025-09-09T14:08:55.0181398Z pytz  ------------------------------ 204.51 KiB/497.29 KiB 2025-09-09T14:08:55.0181610Z pygments  ------------------------------ 847.45 KiB/1.17 MiB 2025-09-09T14:08:55.0182130Z sentencepiece  ------------------------------ 1.23 MiB/1.32 MiB 2025-09-09T14:08:55.0182322Z nltk  ------------------------------ 845.61 KiB/1.44 MiB 2025-09-09T14:08:55.0182532Z kiwisolver  ------------------------------ 1.19 MiB/1.53 MiB 2025-09-09T14:08:55.0182721Z aiohttp  ------------------------------ 1.08 MiB/1.56 MiB 2025-09-09T14:08:55.0182938Z pycryptodomex  ------------------------------ 796.98 KiB/2.17 MiB 2025-09-09T14:08:55.0183128Z hf-xet  ------------------------------ 1.18 MiB/3.04 MiB 2025-09-09T14:08:55.0183327Z tokenizers  ------------------------------ 1.31 MiB/3.19 MiB 2025-09-09T14:08:55.0183523Z fonttools  ------------------------------ 1.17 MiB/4.54 MiB 2025-09-09T14:08:55.0183735Z lxml  ------------------------------ 1.15 MiB/5.05 MiB 2025-09-09T14:08:55.0183932Z zstandard  ------------------------------ 1.21 MiB/5.30 MiB 2025-09-09T14:08:55.0184131Z virtualenv  ------------------------------ 1.28 MiB/5.71 MiB 2025-09-09T14:08:55.0184328Z lm-eval  ------------------------------ 300.58 KiB/7.18 MiB 2025-09-09T14:08:55.0184527Z matplotlib  ------------------------------ 1.21 MiB/7.93 MiB 2025-09-09T14:08:55.0184708Z ruff  ------------------------------ 1.25 MiB/10.94 MiB 2025-09-09T14:08:55.0184926Z transformers  ------------------------------ 1.09 MiB/11.07 MiB 2025-09-09T14:08:55.0185348Z pandas  ------------------------------ 1.21 MiB/11.79 MiB 2025-09-09T14:08:55.0185583Z scikit-learn  ------------------------------ 1.29 MiB/12.89 MiB 2025-09-09T14:08:55.0185653Z  2025-09-09T14:08:55.0185727Z  2025-09-09T14:08:55.0185792Z  2025-09-09T14:08:55.0185859Z  2025-09-09T14:08:55.0185928Z  2025-09-09T14:08:55.0185994Z  2025-09-09T14:08:55.0186060Z  2025-09-09T14:08:55.0186126Z  2025-09-09T14:08:55.0186198Z  2025-09-09T14:08:55.0186265Z  2025-09-09T14:08:55.0186330Z  2025-09-09T14:08:55.0186396Z  2025-09-09T14:08:55.0186467Z  2025-09-09T14:08:55.0186533Z  2025-09-09T14:08:55.0186599Z  2025-09-09T14:08:55.0186670Z  2025-09-09T14:08:55.0186737Z  2025-09-09T14:08:55.0186803Z  2025-09-09T14:08:55.0186876Z  2025-09-09T14:08:55.0186948Z  2025-09-09T14:08:55.0187017Z  2025-09-09T14:08:55.0187084Z  2025-09-09T14:08:55.0187169Z  2025-09-09T14:08:55.0187330Z  Building word2number==1.1 2025-09-09T14:08:55.0187465Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.0187595Z Building rouge-score==0.1.2 2025-09-09T14:08:55.0187728Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.0187933Z tzdata  ------------------------------ 156.96 KiB/339.69 KiB 2025-09-09T14:08:55.0188124Z pytz  ------------------------------ 220.51 KiB/497.29 KiB 2025-09-09T14:08:55.0188330Z pygments  ------------------------------ 959.45 KiB/1.17 MiB 2025-09-09T14:08:55.0188517Z nltk  ------------------------------ 973.61 KiB/1.44 MiB 2025-09-09T14:08:55.0188719Z kiwisolver  ------------------------------ 1.33 MiB/1.53 MiB 2025-09-09T14:08:55.0189074Z aiohttp  ------------------------------ 1.36 MiB/1.56 MiB 2025-09-09T14:08:55.0189430Z pycryptodomex  ------------------------------ 1.39 MiB/2.17 MiB 2025-09-09T14:08:55.0189617Z hf-xet  ------------------------------ 1.31 MiB/3.04 MiB 2025-09-09T14:08:55.0189821Z tokenizers  ------------------------------ 1.43 MiB/3.19 MiB 2025-09-09T14:08:55.0190016Z fonttools  ------------------------------ 1.30 MiB/4.54 MiB 2025-09-09T14:08:55.0190198Z lxml  ------------------------------ 1.29 MiB/5.05 MiB 2025-09-09T14:08:55.0190391Z zstandard  ------------------------------ 1.34 MiB/5.30 MiB 2025-09-09T14:08:55.0190594Z virtualenv  ------------------------------ 1.39 MiB/5.71 MiB 2025-09-09T14:08:55.0758874Z lm-eval  ------------------------------ 316.58 KiB/7.18 MiB 2025-09-09T14:08:55.0773993Z matplotlib  ------------------------------ 1.34 MiB/7.93 MiB 2025-09-09T14:08:55.0774402Z ruff  ------------------------------ 1.39 MiB/10.94 MiB 2025-09-09T14:08:55.0774729Z transformers  ------------------------------ 1.15 MiB/11.07 MiB 2025-09-09T14:08:55.0775232Z pandas  ------------------------------ 1.33 MiB/11.79 MiB 2025-09-09T14:08:55.0775546Z scikit-learn  ------------------------------ 1.40 MiB/12.89 MiB 2025-09-09T14:08:55.0775849Z cmake  ------------------------------ 366.91 KiB/26.51 MiB 2025-09-09T14:08:55.0775950Z  2025-09-09T14:08:55.0776055Z  2025-09-09T14:08:55.0776157Z  2025-09-09T14:08:55.0776253Z  2025-09-09T14:08:55.0776353Z  2025-09-09T14:08:55.0776460Z  2025-09-09T14:08:55.0776560Z  2025-09-09T14:08:55.0776655Z  2025-09-09T14:08:55.0776761Z  2025-09-09T14:08:55.0776855Z  2025-09-09T14:08:55.0776949Z  2025-09-09T14:08:55.0777044Z  2025-09-09T14:08:55.0777144Z  2025-09-09T14:08:55.0777219Z  2025-09-09T14:08:55.0777294Z  2025-09-09T14:08:55.0777374Z  2025-09-09T14:08:55.0777452Z  2025-09-09T14:08:55.0777526Z  2025-09-09T14:08:55.0777600Z  2025-09-09T14:08:55.0777682Z  2025-09-09T14:08:55.0777756Z  2025-09-09T14:08:55.0777831Z  2025-09-09T14:08:55.0777912Z  2025-09-09T14:08:55.0778085Z  Building word2number==1.1 2025-09-09T14:08:55.0778240Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.0778390Z Building rouge-score==0.1.2 2025-09-09T14:08:55.0778564Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.0778826Z tzdata  ------------------------------ 156.96 KiB/339.69 KiB 2025-09-09T14:08:55.0779056Z pytz  ------------------------------ 236.51 KiB/497.29 KiB 2025-09-09T14:08:55.0779297Z pygments  ------------------------------ 1007.45 KiB/1.17 MiB 2025-09-09T14:08:55.0779508Z nltk  ------------------------------ 1005.50 KiB/1.44 MiB 2025-09-09T14:08:55.0779740Z kiwisolver  ------------------------------ 1.38 MiB/1.53 MiB 2025-09-09T14:08:55.0779964Z aiohttp  ------------------------------ 1.42 MiB/1.56 MiB 2025-09-09T14:08:55.0780204Z pycryptodomex  ------------------------------ 1.45 MiB/2.17 MiB 2025-09-09T14:08:55.0780411Z hf-xet  ------------------------------ 1.35 MiB/3.04 MiB 2025-09-09T14:08:55.0781077Z tokenizers  ------------------------------ 1.49 MiB/3.19 MiB 2025-09-09T14:08:55.0781346Z fonttools  ------------------------------ 1.36 MiB/4.54 MiB 2025-09-09T14:08:55.0781562Z lxml  ------------------------------ 1.32 MiB/5.05 MiB 2025-09-09T14:08:55.0781785Z zstandard  ------------------------------ 1.38 MiB/5.30 MiB 2025-09-09T14:08:55.0782009Z virtualenv  ------------------------------ 1.43 MiB/5.71 MiB 2025-09-09T14:08:55.0782250Z lm-eval  ------------------------------ 316.58 KiB/7.18 MiB 2025-09-09T14:08:55.0782478Z matplotlib  ------------------------------ 1.39 MiB/7.93 MiB 2025-09-09T14:08:55.0782689Z ruff  ------------------------------ 1.42 MiB/10.94 MiB 2025-09-09T14:08:55.0782941Z transformers  ------------------------------ 1.20 MiB/11.07 MiB 2025-09-09T14:08:55.0783152Z pandas  ------------------------------ 1.38 MiB/11.79 MiB 2025-09-09T14:08:55.0783381Z scikit-learn  ------------------------------ 1.46 MiB/12.89 MiB 2025-09-09T14:08:55.0783624Z cmake  ------------------------------ 366.91 KiB/26.51 MiB 2025-09-09T14:08:55.0783703Z  2025-09-09T14:08:55.0783780Z  2025-09-09T14:08:55.0783854Z  2025-09-09T14:08:55.0783946Z  2025-09-09T14:08:55.0784021Z  2025-09-09T14:08:55.0784097Z  2025-09-09T14:08:55.0784176Z  2025-09-09T14:08:55.0784253Z  2025-09-09T14:08:55.0784326Z  2025-09-09T14:08:55.0784401Z  2025-09-09T14:08:55.0784484Z  2025-09-09T14:08:55.0784560Z  2025-09-09T14:08:55.0784632Z  2025-09-09T14:08:55.0784707Z  2025-09-09T14:08:55.0784793Z  2025-09-09T14:08:55.0784873Z  2025-09-09T14:08:55.0785109Z  2025-09-09T14:08:55.0785195Z  2025-09-09T14:08:55.0785270Z  2025-09-09T14:08:55.0785344Z  2025-09-09T14:08:55.0785418Z  2025-09-09T14:08:55.0785499Z  2025-09-09T14:08:55.0785572Z  2025-09-09T14:08:55.0785740Z  Building word2number==1.1 2025-09-09T14:08:55.0785895Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.0786040Z Building rouge-score==0.1.2 2025-09-09T14:08:55.0786186Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.0786419Z tzdata  ------------------------------ 172.96 KiB/339.69 KiB 2025-09-09T14:08:55.0786641Z pytz  ------------------------------ 252.51 KiB/497.29 KiB 2025-09-09T14:08:55.0786880Z pygments  ------------------------------ 1.07 MiB/1.17 MiB 2025-09-09T14:08:55.0787096Z nltk  ------------------------------ 1.12 MiB/1.44 MiB 2025-09-09T14:08:55.0787319Z aiohttp  ------------------------------ 1.56 MiB/1.56 MiB 2025-09-09T14:08:55.0787537Z pycryptodomex  ------------------------------ 1.57 MiB/2.17 MiB 2025-09-09T14:08:55.0787727Z hf-xet  ------------------------------ 1.48 MiB/3.04 MiB 2025-09-09T14:08:55.0787938Z tokenizers  ------------------------------ 1.61 MiB/3.19 MiB 2025-09-09T14:08:55.0788137Z fonttools  ------------------------------ 1.50 MiB/4.54 MiB 2025-09-09T14:08:55.0788319Z lxml  ------------------------------ 1.44 MiB/5.05 MiB 2025-09-09T14:08:55.0788540Z zstandard  ------------------------------ 1.51 MiB/5.30 MiB 2025-09-09T14:08:55.0789036Z virtualenv  ------------------------------ 1.56 MiB/5.71 MiB 2025-09-09T14:08:55.0789246Z lm-eval  ------------------------------ 332.58 KiB/7.18 MiB 2025-09-09T14:08:55.0789472Z matplotlib  ------------------------------ 1.54 MiB/7.93 MiB 2025-09-09T14:08:55.0789660Z ruff  ------------------------------ 1.55 MiB/10.94 MiB 2025-09-09T14:08:55.0789869Z transformers  ------------------------------ 1.38 MiB/11.07 MiB 2025-09-09T14:08:55.0790067Z pandas  ------------------------------ 1.53 MiB/11.79 MiB 2025-09-09T14:08:55.0790271Z scikit-learn  ------------------------------ 1.56 MiB/12.89 MiB 2025-09-09T14:08:55.0790469Z cmake  ------------------------------ 382.91 KiB/26.51 MiB 2025-09-09T14:08:55.0790695Z scipy  ------------------------------ 1.51 MiB/36.82 MiB 2025-09-09T14:08:55.0790771Z  2025-09-09T14:08:55.0790840Z  2025-09-09T14:08:55.0790909Z  2025-09-09T14:08:55.0790985Z  2025-09-09T14:08:55.0791055Z  2025-09-09T14:08:55.0791126Z  2025-09-09T14:08:55.0791195Z  2025-09-09T14:08:55.0791271Z  2025-09-09T14:08:55.0791340Z  2025-09-09T14:08:55.0791408Z  2025-09-09T14:08:55.0791484Z  2025-09-09T14:08:55.0791552Z  2025-09-09T14:08:55.0791619Z  2025-09-09T14:08:55.0791688Z  2025-09-09T14:08:55.0791764Z  2025-09-09T14:08:55.0791830Z  2025-09-09T14:08:55.0791897Z  2025-09-09T14:08:55.0792108Z  2025-09-09T14:08:55.0792181Z  2025-09-09T14:08:55.0792251Z  2025-09-09T14:08:55.0792319Z  2025-09-09T14:08:55.0792397Z  2025-09-09T14:08:55.0792464Z  2025-09-09T14:08:55.0792629Z  Building word2number==1.1 2025-09-09T14:08:55.0792764Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.0792905Z Building rouge-score==0.1.2 2025-09-09T14:08:55.0793038Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.0793247Z tzdata  ------------------------------ 188.96 KiB/339.69 KiB 2025-09-09T14:08:55.0793446Z pytz  ------------------------------ 268.51 KiB/497.29 KiB 2025-09-09T14:08:55.0793643Z pygments  ------------------------------ 1.09 MiB/1.17 MiB 2025-09-09T14:08:55.0793829Z nltk  ------------------------------ 1.15 MiB/1.44 MiB 2025-09-09T14:08:55.0794060Z pycryptodomex  ------------------------------ 1.62 MiB/2.17 MiB 2025-09-09T14:08:55.0794257Z hf-xet  ------------------------------ 1.52 MiB/3.04 MiB 2025-09-09T14:08:55.0794462Z tokenizers  ------------------------------ 1.65 MiB/3.19 MiB 2025-09-09T14:08:55.0794665Z fonttools  ------------------------------ 1.54 MiB/4.54 MiB 2025-09-09T14:08:55.0794847Z lxml  ------------------------------ 1.48 MiB/5.05 MiB 2025-09-09T14:08:55.0795252Z zstandard  ------------------------------ 1.56 MiB/5.30 MiB 2025-09-09T14:08:55.0795464Z virtualenv  ------------------------------ 1.60 MiB/5.71 MiB 2025-09-09T14:08:55.0795664Z lm-eval  ------------------------------ 332.58 KiB/7.18 MiB 2025-09-09T14:08:55.0795877Z matplotlib  ------------------------------ 1.57 MiB/7.93 MiB 2025-09-09T14:08:55.0796208Z ruff  ------------------------------ 1.59 MiB/10.94 MiB 2025-09-09T14:08:55.0796534Z transformers  ------------------------------ 1.41 MiB/11.07 MiB 2025-09-09T14:08:55.0796732Z pandas  ------------------------------ 1.58 MiB/11.79 MiB 2025-09-09T14:08:55.0796937Z scikit-learn  ------------------------------ 1.62 MiB/12.89 MiB 2025-09-09T14:08:55.0797142Z cmake  ------------------------------ 382.91 KiB/26.51 MiB 2025-09-09T14:08:55.0797330Z scipy  ------------------------------ 1.57 MiB/36.82 MiB 2025-09-09T14:08:55.0797539Z pyarrow  ------------------------------ 1.60 MiB/40.77 MiB 2025-09-09T14:08:55.0797616Z  2025-09-09T14:08:55.0797684Z  2025-09-09T14:08:55.0797756Z  2025-09-09T14:08:55.0797831Z  2025-09-09T14:08:55.0797905Z  2025-09-09T14:08:55.0797980Z  2025-09-09T14:08:55.0798047Z  2025-09-09T14:08:55.0798129Z  2025-09-09T14:08:55.0798203Z  2025-09-09T14:08:55.0798272Z  2025-09-09T14:08:55.0798339Z  2025-09-09T14:08:55.0798414Z  2025-09-09T14:08:55.0798482Z  2025-09-09T14:08:55.0798550Z  2025-09-09T14:08:55.0798623Z  2025-09-09T14:08:55.0798692Z  2025-09-09T14:08:55.0798763Z  2025-09-09T14:08:55.0798830Z  2025-09-09T14:08:55.0798905Z  2025-09-09T14:08:55.0798972Z  2025-09-09T14:08:55.0799041Z  2025-09-09T14:08:55.0799115Z  2025-09-09T14:08:55.0799182Z  2025-09-09T14:08:55.0799328Z  Building word2number==1.1 2025-09-09T14:08:55.1255424Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.1255629Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1255813Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.1256108Z tzdata  ------------------------------ 204.96 KiB/339.69 KiB 2025-09-09T14:08:55.1256373Z pytz  ------------------------------ 284.51 KiB/497.29 KiB 2025-09-09T14:08:55.1256636Z pygments  ------------------------------ 1.13 MiB/1.17 MiB 2025-09-09T14:08:55.1256875Z nltk  ------------------------------ 1.21 MiB/1.44 MiB 2025-09-09T14:08:55.1257160Z pycryptodomex  ------------------------------ 1.71 MiB/2.17 MiB 2025-09-09T14:08:55.1257402Z hf-xet  ------------------------------ 1.63 MiB/3.04 MiB 2025-09-09T14:08:55.1257665Z tokenizers  ------------------------------ 1.75 MiB/3.19 MiB 2025-09-09T14:08:55.1257930Z fonttools  ------------------------------ 1.64 MiB/4.54 MiB 2025-09-09T14:08:55.1258174Z lxml  ------------------------------ 1.57 MiB/5.05 MiB 2025-09-09T14:08:55.1258445Z zstandard  ------------------------------ 1.65 MiB/5.30 MiB 2025-09-09T14:08:55.1258710Z virtualenv  ------------------------------ 1.70 MiB/5.71 MiB 2025-09-09T14:08:55.1258967Z lm-eval  ------------------------------ 348.58 KiB/7.18 MiB 2025-09-09T14:08:55.1259243Z matplotlib  ------------------------------ 1.68 MiB/7.93 MiB 2025-09-09T14:08:55.1259488Z ruff  ------------------------------ 1.68 MiB/10.94 MiB 2025-09-09T14:08:55.1259761Z transformers  ------------------------------ 1.64 MiB/11.07 MiB 2025-09-09T14:08:55.1260017Z pandas  ------------------------------ 1.69 MiB/11.79 MiB 2025-09-09T14:08:55.1260684Z scikit-learn  ------------------------------ 1.73 MiB/12.89 MiB 2025-09-09T14:08:55.1260946Z cmake  ------------------------------ 382.91 KiB/26.51 MiB 2025-09-09T14:08:55.1261197Z scipy  ------------------------------ 1.66 MiB/36.82 MiB 2025-09-09T14:08:55.1261470Z pyarrow  ------------------------------ 1.69 MiB/40.77 MiB 2025-09-09T14:08:55.1261558Z  2025-09-09T14:08:55.1261643Z  2025-09-09T14:08:55.1261733Z  2025-09-09T14:08:55.1261819Z  2025-09-09T14:08:55.1261914Z  2025-09-09T14:08:55.1262003Z  2025-09-09T14:08:55.1262088Z  2025-09-09T14:08:55.1262171Z  2025-09-09T14:08:55.1262254Z  2025-09-09T14:08:55.1262341Z  2025-09-09T14:08:55.1262424Z  2025-09-09T14:08:55.1262507Z  2025-09-09T14:08:55.1262596Z  2025-09-09T14:08:55.1262684Z  2025-09-09T14:08:55.1262775Z  2025-09-09T14:08:55.1262858Z  2025-09-09T14:08:55.1262946Z  2025-09-09T14:08:55.1263030Z  2025-09-09T14:08:55.1263113Z  2025-09-09T14:08:55.1263196Z  2025-09-09T14:08:55.1263284Z  2025-09-09T14:08:55.1263369Z  2025-09-09T14:08:55.1263452Z  2025-09-09T14:08:55.1263651Z  Building word2number==1.1 2025-09-09T14:08:55.1263821Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.1263993Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1264159Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.1264445Z tzdata  ------------------------------ 204.96 KiB/339.69 KiB 2025-09-09T14:08:55.1264718Z pytz  ------------------------------ 284.51 KiB/497.29 KiB 2025-09-09T14:08:55.1265209Z nltk  ------------------------------ 1.21 MiB/1.44 MiB 2025-09-09T14:08:55.1265511Z pycryptodomex  ------------------------------ 1.76 MiB/2.17 MiB 2025-09-09T14:08:55.1265754Z hf-xet  ------------------------------ 1.68 MiB/3.04 MiB 2025-09-09T14:08:55.1266023Z tokenizers  ------------------------------ 1.78 MiB/3.19 MiB 2025-09-09T14:08:55.1266291Z fonttools  ------------------------------ 1.67 MiB/4.54 MiB 2025-09-09T14:08:55.1266528Z lxml  ------------------------------ 1.62 MiB/5.05 MiB 2025-09-09T14:08:55.1266789Z zstandard  ------------------------------ 1.71 MiB/5.30 MiB 2025-09-09T14:08:55.1267048Z virtualenv  ------------------------------ 1.74 MiB/5.71 MiB 2025-09-09T14:08:55.1267307Z lm-eval  ------------------------------ 348.58 KiB/7.18 MiB 2025-09-09T14:08:55.1267535Z matplotlib  ------------------------------ 1.73 MiB/7.93 MiB 2025-09-09T14:08:55.1267721Z ruff  ------------------------------ 1.73 MiB/10.94 MiB 2025-09-09T14:08:55.1267931Z transformers  ------------------------------ 1.65 MiB/11.07 MiB 2025-09-09T14:08:55.1268127Z pandas  ------------------------------ 1.72 MiB/11.79 MiB 2025-09-09T14:08:55.1268335Z scikit-learn  ------------------------------ 1.78 MiB/12.89 MiB 2025-09-09T14:08:55.1268533Z cmake  ------------------------------ 382.91 KiB/26.51 MiB 2025-09-09T14:08:55.1268730Z scipy  ------------------------------ 1.70 MiB/36.82 MiB 2025-09-09T14:08:55.1269083Z pyarrow  ------------------------------ 1.72 MiB/40.77 MiB 2025-09-09T14:08:55.1269460Z bitsandbytes  ------------------------------ 1.71 MiB/58.45 MiB  2025-09-09T14:08:55.1269532Z  2025-09-09T14:08:55.1269615Z  2025-09-09T14:08:55.1269686Z  2025-09-09T14:08:55.1269757Z  2025-09-09T14:08:55.1269832Z  2025-09-09T14:08:55.1269899Z  2025-09-09T14:08:55.1269965Z  2025-09-09T14:08:55.1270033Z  2025-09-09T14:08:55.1270105Z  2025-09-09T14:08:55.1270177Z  2025-09-09T14:08:55.1270244Z  2025-09-09T14:08:55.1270311Z  2025-09-09T14:08:55.1270385Z  2025-09-09T14:08:55.1270453Z  2025-09-09T14:08:55.1270519Z  2025-09-09T14:08:55.1270594Z  2025-09-09T14:08:55.1270661Z  2025-09-09T14:08:55.1270729Z  2025-09-09T14:08:55.1270797Z  2025-09-09T14:08:55.1270868Z  2025-09-09T14:08:55.1270935Z  2025-09-09T14:08:55.1271001Z  2025-09-09T14:08:55.1271086Z  2025-09-09T14:08:55.1271257Z  Building word2number==1.1 2025-09-09T14:08:55.1271393Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.1271526Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1271669Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.1271878Z tzdata  ------------------------------ 220.96 KiB/339.69 KiB 2025-09-09T14:08:55.1272203Z pytz  ------------------------------ 332.51 KiB/497.29 KiB 2025-09-09T14:08:55.1272441Z pycryptodomex  ------------------------------ 1.99 MiB/2.17 MiB 2025-09-09T14:08:55.1272633Z hf-xet  ------------------------------ 1.93 MiB/3.04 MiB 2025-09-09T14:08:55.1272839Z tokenizers  ------------------------------ 2.02 MiB/3.19 MiB 2025-09-09T14:08:55.1273058Z fonttools  ------------------------------ 1.91 MiB/4.54 MiB 2025-09-09T14:08:55.1273242Z lxml  ------------------------------ 1.85 MiB/5.05 MiB 2025-09-09T14:08:55.1273440Z zstandard  ------------------------------ 1.96 MiB/5.30 MiB 2025-09-09T14:08:55.1273649Z virtualenv  ------------------------------ 2.01 MiB/5.71 MiB 2025-09-09T14:08:55.1273847Z lm-eval  ------------------------------ 364.58 KiB/7.18 MiB 2025-09-09T14:08:55.1274052Z matplotlib  ------------------------------ 1.98 MiB/7.93 MiB 2025-09-09T14:08:55.1274241Z ruff  ------------------------------ 1.95 MiB/10.94 MiB 2025-09-09T14:08:55.1274462Z transformers  ------------------------------ 1.98 MiB/11.07 MiB 2025-09-09T14:08:55.1274665Z pandas  ------------------------------ 1.95 MiB/11.79 MiB 2025-09-09T14:08:55.1274871Z scikit-learn  ------------------------------ 2.04 MiB/12.89 MiB 2025-09-09T14:08:55.1275230Z cmake  ------------------------------ 398.80 KiB/26.51 MiB 2025-09-09T14:08:55.1275423Z scipy  ------------------------------ 1.95 MiB/36.82 MiB 2025-09-09T14:08:55.1275618Z pyarrow  ------------------------------ 1.96 MiB/40.77 MiB 2025-09-09T14:08:55.1275868Z bitsandbytes  ------------------------------ 1.97 MiB/58.45 MiB  2025-09-09T14:08:55.1275937Z  2025-09-09T14:08:55.1276004Z  2025-09-09T14:08:55.1276078Z  2025-09-09T14:08:55.1276145Z  2025-09-09T14:08:55.1276213Z  2025-09-09T14:08:55.1276279Z  2025-09-09T14:08:55.1276351Z  2025-09-09T14:08:55.1276582Z  2025-09-09T14:08:55.1276762Z  2025-09-09T14:08:55.1276852Z  2025-09-09T14:08:55.1276925Z  2025-09-09T14:08:55.1276991Z  2025-09-09T14:08:55.1277057Z  2025-09-09T14:08:55.1277129Z  2025-09-09T14:08:55.1277195Z  2025-09-09T14:08:55.1277261Z  2025-09-09T14:08:55.1277327Z  2025-09-09T14:08:55.1277402Z  2025-09-09T14:08:55.1277471Z  2025-09-09T14:08:55.1277536Z  2025-09-09T14:08:55.1277606Z  2025-09-09T14:08:55.1277671Z  2025-09-09T14:08:55.1277821Z  Building word2number==1.1 2025-09-09T14:08:55.1277952Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.1278087Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1278217Z ⠸ Preparing packages... (51/105) 2025-09-09T14:08:55.1278422Z tzdata  ------------------------------ 220.96 KiB/339.69 KiB 2025-09-09T14:08:55.1278635Z pytz  ------------------------------ 332.51 KiB/497.29 KiB 2025-09-09T14:08:55.1278848Z pycryptodomex  ------------------------------ 2.01 MiB/2.17 MiB 2025-09-09T14:08:55.1279033Z hf-xet  ------------------------------ 1.96 MiB/3.04 MiB 2025-09-09T14:08:55.1279236Z tokenizers  ------------------------------ 2.05 MiB/3.19 MiB 2025-09-09T14:08:55.1279431Z fonttools  ------------------------------ 1.92 MiB/4.54 MiB 2025-09-09T14:08:55.1279609Z lxml  ------------------------------ 1.88 MiB/5.05 MiB 2025-09-09T14:08:55.1279808Z zstandard  ------------------------------ 1.99 MiB/5.30 MiB 2025-09-09T14:08:55.1280004Z virtualenv  ------------------------------ 2.04 MiB/5.71 MiB 2025-09-09T14:08:55.1697025Z lm-eval  ------------------------------ 364.58 KiB/7.18 MiB 2025-09-09T14:08:55.1697312Z matplotlib  ------------------------------ 2.01 MiB/7.93 MiB 2025-09-09T14:08:55.1697545Z ruff  ------------------------------ 1.99 MiB/10.94 MiB 2025-09-09T14:08:55.1697786Z transformers  ------------------------------ 2.04 MiB/11.07 MiB 2025-09-09T14:08:55.1698015Z pandas  ------------------------------ 1.98 MiB/11.79 MiB 2025-09-09T14:08:55.1698248Z scikit-learn  ------------------------------ 2.09 MiB/12.89 MiB 2025-09-09T14:08:55.1698475Z cmake  ------------------------------ 414.91 KiB/26.51 MiB 2025-09-09T14:08:55.1698698Z scipy  ------------------------------ 1.98 MiB/36.82 MiB 2025-09-09T14:08:55.1698929Z pyarrow  ------------------------------ 1.98 MiB/40.77 MiB 2025-09-09T14:08:55.1699204Z bitsandbytes  ------------------------------ 2.00 MiB/58.45 MiB  2025-09-09T14:08:55.1699283Z  2025-09-09T14:08:55.1699368Z  2025-09-09T14:08:55.1699442Z  2025-09-09T14:08:55.1699515Z  2025-09-09T14:08:55.1699594Z  2025-09-09T14:08:55.1699668Z  2025-09-09T14:08:55.1699742Z  2025-09-09T14:08:55.1699825Z  2025-09-09T14:08:55.1699907Z  2025-09-09T14:08:55.1699982Z  2025-09-09T14:08:55.1700055Z  2025-09-09T14:08:55.1700134Z  2025-09-09T14:08:55.1700208Z  2025-09-09T14:08:55.1700281Z  2025-09-09T14:08:55.1700354Z  2025-09-09T14:08:55.1700434Z  2025-09-09T14:08:55.1700506Z  2025-09-09T14:08:55.1700582Z  2025-09-09T14:08:55.1700656Z  2025-09-09T14:08:55.1700736Z  2025-09-09T14:08:55.1701152Z  2025-09-09T14:08:55.1701231Z  2025-09-09T14:08:55.1701407Z  Building word2number==1.1 2025-09-09T14:08:55.1701555Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.1701703Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1701858Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.1702099Z tzdata  ------------------------------ 268.96 KiB/339.69 KiB 2025-09-09T14:08:55.1702316Z pytz  ------------------------------ 412.51 KiB/497.29 KiB 2025-09-09T14:08:55.1702533Z hf-xet  ------------------------------ 2.15 MiB/3.04 MiB 2025-09-09T14:08:55.1702770Z tokenizers  ------------------------------ 2.24 MiB/3.19 MiB 2025-09-09T14:08:55.1702993Z fonttools  ------------------------------ 2.12 MiB/4.54 MiB 2025-09-09T14:08:55.1703210Z lxml  ------------------------------ 2.07 MiB/5.05 MiB 2025-09-09T14:08:55.1703438Z zstandard  ------------------------------ 2.16 MiB/5.30 MiB 2025-09-09T14:08:55.1703683Z virtualenv  ------------------------------ 2.21 MiB/5.71 MiB 2025-09-09T14:08:55.1703914Z lm-eval  ------------------------------ 396.58 KiB/7.18 MiB 2025-09-09T14:08:55.1704150Z matplotlib  ------------------------------ 2.21 MiB/7.93 MiB 2025-09-09T14:08:55.1704360Z ruff  ------------------------------ 2.16 MiB/10.94 MiB 2025-09-09T14:08:55.1704605Z transformers  ------------------------------ 2.24 MiB/11.07 MiB 2025-09-09T14:08:55.1704817Z pandas  ------------------------------ 2.16 MiB/11.79 MiB 2025-09-09T14:08:55.1705277Z scikit-learn  ------------------------------ 2.29 MiB/12.89 MiB 2025-09-09T14:08:55.1705509Z cmake  ------------------------------ 478.91 KiB/26.51 MiB 2025-09-09T14:08:55.1705719Z scipy  ------------------------------ 2.15 MiB/36.82 MiB 2025-09-09T14:08:55.1705934Z pyarrow  ------------------------------ 2.17 MiB/40.77 MiB 2025-09-09T14:08:55.1706205Z bitsandbytes  ------------------------------ 2.18 MiB/58.45 MiB  2025-09-09T14:08:55.1706290Z  2025-09-09T14:08:55.1706368Z  2025-09-09T14:08:55.1706442Z  2025-09-09T14:08:55.1706521Z  2025-09-09T14:08:55.1706598Z  2025-09-09T14:08:55.1706672Z  2025-09-09T14:08:55.1706746Z  2025-09-09T14:08:55.1706828Z  2025-09-09T14:08:55.1706901Z  2025-09-09T14:08:55.1706981Z  2025-09-09T14:08:55.1707063Z  2025-09-09T14:08:55.1707138Z  2025-09-09T14:08:55.1707212Z  2025-09-09T14:08:55.1707284Z  2025-09-09T14:08:55.1707362Z  2025-09-09T14:08:55.1707435Z  2025-09-09T14:08:55.1707507Z  2025-09-09T14:08:55.1707580Z  2025-09-09T14:08:55.1707653Z  2025-09-09T14:08:55.1707719Z  2025-09-09T14:08:55.1707784Z  2025-09-09T14:08:55.1707941Z  Building word2number==1.1 2025-09-09T14:08:55.1708086Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.1708217Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1708349Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.1708560Z tzdata  ------------------------------ 284.96 KiB/339.69 KiB 2025-09-09T14:08:55.1708745Z hf-xet  ------------------------------ 2.21 MiB/3.04 MiB 2025-09-09T14:08:55.1709245Z tokenizers  ------------------------------ 2.30 MiB/3.19 MiB 2025-09-09T14:08:55.1709455Z fonttools  ------------------------------ 2.18 MiB/4.54 MiB 2025-09-09T14:08:55.1709650Z lxml  ------------------------------ 2.12 MiB/5.05 MiB 2025-09-09T14:08:55.1709847Z zstandard  ------------------------------ 2.22 MiB/5.30 MiB 2025-09-09T14:08:55.1710049Z virtualenv  ------------------------------ 2.26 MiB/5.71 MiB 2025-09-09T14:08:55.1710243Z lm-eval  ------------------------------ 396.58 KiB/7.18 MiB 2025-09-09T14:08:55.1710442Z matplotlib  ------------------------------ 2.26 MiB/7.93 MiB 2025-09-09T14:08:55.1710630Z ruff  ------------------------------ 2.22 MiB/10.94 MiB 2025-09-09T14:08:55.1710849Z transformers  ------------------------------ 2.30 MiB/11.07 MiB 2025-09-09T14:08:55.1711037Z pandas  ------------------------------ 2.20 MiB/11.79 MiB 2025-09-09T14:08:55.1711246Z scikit-learn  ------------------------------ 2.34 MiB/12.89 MiB 2025-09-09T14:08:55.1711440Z cmake  ------------------------------ 542.91 KiB/26.51 MiB 2025-09-09T14:08:55.1711623Z scipy  ------------------------------ 2.21 MiB/36.82 MiB 2025-09-09T14:08:55.1711817Z pyarrow  ------------------------------ 2.23 MiB/40.77 MiB 2025-09-09T14:08:55.1712159Z bitsandbytes  ------------------------------ 2.24 MiB/58.45 MiB  2025-09-09T14:08:55.1712231Z  2025-09-09T14:08:55.1712297Z  2025-09-09T14:08:55.1712370Z  2025-09-09T14:08:55.1712446Z  2025-09-09T14:08:55.1712513Z  2025-09-09T14:08:55.1712590Z  2025-09-09T14:08:55.1712657Z  2025-09-09T14:08:55.1712726Z  2025-09-09T14:08:55.1712791Z  2025-09-09T14:08:55.1712868Z  2025-09-09T14:08:55.1712934Z  2025-09-09T14:08:55.1713001Z  2025-09-09T14:08:55.1713067Z  2025-09-09T14:08:55.1713143Z  2025-09-09T14:08:55.1713209Z  2025-09-09T14:08:55.1713276Z  2025-09-09T14:08:55.1713349Z  2025-09-09T14:08:55.1713415Z  2025-09-09T14:08:55.1713482Z  2025-09-09T14:08:55.1713551Z  2025-09-09T14:08:55.1713703Z  Built word2number==1.1 2025-09-09T14:08:55.1713836Z Building sqlitedict==2.1.0 2025-09-09T14:08:55.1713966Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1714104Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.1714316Z tzdata  ------------------------------ 284.96 KiB/339.69 KiB 2025-09-09T14:08:55.1714509Z hf-xet  ------------------------------ 2.21 MiB/3.04 MiB 2025-09-09T14:08:55.1714715Z tokenizers  ------------------------------ 2.30 MiB/3.19 MiB 2025-09-09T14:08:55.1714912Z fonttools  ------------------------------ 2.18 MiB/4.54 MiB 2025-09-09T14:08:55.1715347Z lxml  ------------------------------ 2.12 MiB/5.05 MiB 2025-09-09T14:08:55.1715550Z zstandard  ------------------------------ 2.22 MiB/5.30 MiB 2025-09-09T14:08:55.1715751Z virtualenv  ------------------------------ 2.26 MiB/5.71 MiB 2025-09-09T14:08:55.1715958Z lm-eval  ------------------------------ 396.58 KiB/7.18 MiB 2025-09-09T14:08:55.1716322Z matplotlib  ------------------------------ 2.26 MiB/7.93 MiB 2025-09-09T14:08:55.1716650Z ruff  ------------------------------ 2.22 MiB/10.94 MiB 2025-09-09T14:08:55.1716857Z transformers  ------------------------------ 2.30 MiB/11.07 MiB 2025-09-09T14:08:55.1717056Z pandas  ------------------------------ 2.20 MiB/11.79 MiB 2025-09-09T14:08:55.1717264Z scikit-learn  ------------------------------ 2.34 MiB/12.89 MiB 2025-09-09T14:08:55.1717454Z cmake  ------------------------------ 542.91 KiB/26.51 MiB 2025-09-09T14:08:55.1717639Z scipy  ------------------------------ 2.21 MiB/36.82 MiB 2025-09-09T14:08:55.1717838Z pyarrow  ------------------------------ 2.23 MiB/40.77 MiB 2025-09-09T14:08:55.1718077Z bitsandbytes  ------------------------------ 2.24 MiB/58.45 MiB  2025-09-09T14:08:55.1718153Z  2025-09-09T14:08:55.1718226Z  2025-09-09T14:08:55.1718293Z  2025-09-09T14:08:55.1718361Z  2025-09-09T14:08:55.1718428Z  2025-09-09T14:08:55.1718505Z  2025-09-09T14:08:55.1718573Z  2025-09-09T14:08:55.1718641Z  2025-09-09T14:08:55.1718714Z  2025-09-09T14:08:55.1718791Z  2025-09-09T14:08:55.1718864Z  2025-09-09T14:08:55.1718932Z  2025-09-09T14:08:55.1719005Z  2025-09-09T14:08:55.1719073Z  2025-09-09T14:08:55.1719140Z  2025-09-09T14:08:55.1719210Z  2025-09-09T14:08:55.1719285Z  2025-09-09T14:08:55.1719352Z  2025-09-09T14:08:55.1719420Z  2025-09-09T14:08:55.1719582Z  Building sqlitedict==2.1.0 2025-09-09T14:08:55.1719715Z Building rouge-score==0.1.2 2025-09-09T14:08:55.1719852Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.1720048Z hf-xet  ------------------------------ 2.24 MiB/3.04 MiB 2025-09-09T14:08:55.1720252Z tokenizers  ------------------------------ 2.33 MiB/3.19 MiB 2025-09-09T14:08:55.1720445Z fonttools  ------------------------------ 2.22 MiB/4.54 MiB 2025-09-09T14:08:55.1720624Z lxml  ------------------------------ 2.15 MiB/5.05 MiB 2025-09-09T14:08:55.2258505Z zstandard  ------------------------------ 2.25 MiB/5.30 MiB 2025-09-09T14:08:55.2258762Z virtualenv  ------------------------------ 2.29 MiB/5.71 MiB 2025-09-09T14:08:55.2258989Z lm-eval  ------------------------------ 396.58 KiB/7.18 MiB 2025-09-09T14:08:55.2259241Z matplotlib  ------------------------------ 2.27 MiB/7.93 MiB 2025-09-09T14:08:55.2259484Z ruff  ------------------------------ 2.25 MiB/10.94 MiB 2025-09-09T14:08:55.2259722Z transformers  ------------------------------ 2.32 MiB/11.07 MiB 2025-09-09T14:08:55.2259944Z pandas  ------------------------------ 2.23 MiB/11.79 MiB 2025-09-09T14:08:55.2260174Z scikit-learn  ------------------------------ 2.37 MiB/12.89 MiB 2025-09-09T14:08:55.2260397Z cmake  ------------------------------ 558.91 KiB/26.51 MiB 2025-09-09T14:08:55.2260616Z scipy  ------------------------------ 2.24 MiB/36.82 MiB 2025-09-09T14:08:55.2260830Z pyarrow  ------------------------------ 2.25 MiB/40.77 MiB 2025-09-09T14:08:55.2261341Z bitsandbytes  ------------------------------ 2.24 MiB/58.45 MiB  2025-09-09T14:08:55.2261590Z  2025-09-09T14:08:55.2261671Z  2025-09-09T14:08:55.2261747Z  2025-09-09T14:08:55.2261819Z  2025-09-09T14:08:55.2261896Z  2025-09-09T14:08:55.2261972Z  2025-09-09T14:08:55.2262044Z  2025-09-09T14:08:55.2262120Z  2025-09-09T14:08:55.2262193Z  2025-09-09T14:08:55.2262268Z  2025-09-09T14:08:55.2262341Z  2025-09-09T14:08:55.2262419Z  2025-09-09T14:08:55.2262491Z  2025-09-09T14:08:55.2262563Z  2025-09-09T14:08:55.2262640Z  2025-09-09T14:08:55.2262713Z  2025-09-09T14:08:55.2262784Z  2025-09-09T14:08:55.2262856Z  2025-09-09T14:08:55.2263060Z  Building sqlitedict==2.1.0 2025-09-09T14:08:55.2263209Z Building rouge-score==0.1.2 2025-09-09T14:08:55.2263374Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.2263602Z hf-xet  ------------------------------ 2.27 MiB/3.04 MiB 2025-09-09T14:08:55.2263838Z tokenizers  ------------------------------ 2.38 MiB/3.19 MiB 2025-09-09T14:08:55.2264063Z fonttools  ------------------------------ 2.25 MiB/4.54 MiB 2025-09-09T14:08:55.2264269Z lxml  ------------------------------ 2.18 MiB/5.05 MiB 2025-09-09T14:08:55.2264489Z zstandard  ------------------------------ 2.30 MiB/5.30 MiB 2025-09-09T14:08:55.2264724Z virtualenv  ------------------------------ 2.33 MiB/5.71 MiB 2025-09-09T14:08:55.2265361Z lm-eval  ------------------------------ 412.58 KiB/7.18 MiB 2025-09-09T14:08:55.2265602Z matplotlib  ------------------------------ 2.30 MiB/7.93 MiB 2025-09-09T14:08:55.2265816Z ruff  ------------------------------ 2.29 MiB/10.94 MiB 2025-09-09T14:08:55.2266061Z transformers  ------------------------------ 2.37 MiB/11.07 MiB 2025-09-09T14:08:55.2266291Z pandas  ------------------------------ 2.27 MiB/11.79 MiB 2025-09-09T14:08:55.2266527Z scikit-learn  ------------------------------ 2.42 MiB/12.89 MiB 2025-09-09T14:08:55.2266751Z cmake  ------------------------------ 574.91 KiB/26.51 MiB 2025-09-09T14:08:55.2266968Z scipy  ------------------------------ 2.26 MiB/36.82 MiB 2025-09-09T14:08:55.2267184Z pyarrow  ------------------------------ 2.29 MiB/40.77 MiB 2025-09-09T14:08:55.2267458Z bitsandbytes  ------------------------------ 2.28 MiB/58.45 MiB  2025-09-09T14:08:55.2267533Z  2025-09-09T14:08:55.2267614Z  2025-09-09T14:08:55.2267689Z  2025-09-09T14:08:55.2267769Z  2025-09-09T14:08:55.2267841Z  2025-09-09T14:08:55.2267908Z  2025-09-09T14:08:55.2267983Z  2025-09-09T14:08:55.2268050Z  2025-09-09T14:08:55.2268118Z  2025-09-09T14:08:55.2268186Z  2025-09-09T14:08:55.2268258Z  2025-09-09T14:08:55.2268326Z  2025-09-09T14:08:55.2268393Z  2025-09-09T14:08:55.2268469Z  2025-09-09T14:08:55.2268547Z  2025-09-09T14:08:55.2268615Z  2025-09-09T14:08:55.2268685Z  2025-09-09T14:08:55.2268760Z  2025-09-09T14:08:55.2268914Z  Built sqlitedict==2.1.0 2025-09-09T14:08:55.2269053Z Building rouge-score==0.1.2 2025-09-09T14:08:55.2269187Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.2269395Z hf-xet  ------------------------------ 2.52 MiB/3.04 MiB 2025-09-09T14:08:55.2269899Z tokenizers  ------------------------------ 2.60 MiB/3.19 MiB 2025-09-09T14:08:55.2270109Z fonttools  ------------------------------ 2.50 MiB/4.54 MiB 2025-09-09T14:08:55.2270300Z lxml  ------------------------------ 2.42 MiB/5.05 MiB 2025-09-09T14:08:55.2270501Z zstandard  ------------------------------ 2.53 MiB/5.30 MiB 2025-09-09T14:08:55.2270705Z virtualenv  ------------------------------ 2.59 MiB/5.71 MiB 2025-09-09T14:08:55.2270912Z lm-eval  ------------------------------ 444.58 KiB/7.18 MiB 2025-09-09T14:08:55.2271121Z matplotlib  ------------------------------ 2.59 MiB/7.93 MiB 2025-09-09T14:08:55.2271309Z ruff  ------------------------------ 2.51 MiB/10.94 MiB 2025-09-09T14:08:55.2271541Z transformers  ------------------------------ 2.62 MiB/11.07 MiB 2025-09-09T14:08:55.2271734Z pandas  ------------------------------ 2.53 MiB/11.79 MiB 2025-09-09T14:08:55.2272069Z scikit-learn  ------------------------------ 2.66 MiB/12.89 MiB 2025-09-09T14:08:55.2272283Z cmake  ------------------------------ 686.91 KiB/26.51 MiB 2025-09-09T14:08:55.2272474Z scipy  ------------------------------ 2.51 MiB/36.82 MiB 2025-09-09T14:08:55.2272670Z pyarrow  ------------------------------ 2.51 MiB/40.77 MiB 2025-09-09T14:08:55.2272921Z bitsandbytes  ------------------------------ 2.53 MiB/58.45 MiB  2025-09-09T14:08:55.2272991Z  2025-09-09T14:08:55.2273059Z  2025-09-09T14:08:55.2273126Z  2025-09-09T14:08:55.2273210Z  2025-09-09T14:08:55.2273282Z  2025-09-09T14:08:55.2273350Z  2025-09-09T14:08:55.2273430Z  2025-09-09T14:08:55.2273506Z  2025-09-09T14:08:55.2273574Z  2025-09-09T14:08:55.2273642Z  2025-09-09T14:08:55.2273720Z  2025-09-09T14:08:55.2273787Z  2025-09-09T14:08:55.2273856Z  2025-09-09T14:08:55.2273923Z  2025-09-09T14:08:55.2273997Z  2025-09-09T14:08:55.2274065Z  2025-09-09T14:08:55.2274132Z  2025-09-09T14:08:55.2274290Z  Built rouge-score==0.1.2 2025-09-09T14:08:55.2274435Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.2274631Z hf-xet  ------------------------------ 2.55 MiB/3.04 MiB 2025-09-09T14:08:55.2274843Z tokenizers  ------------------------------ 2.63 MiB/3.19 MiB 2025-09-09T14:08:55.2275232Z fonttools  ------------------------------ 2.50 MiB/4.54 MiB 2025-09-09T14:08:55.2275434Z lxml  ------------------------------ 2.45 MiB/5.05 MiB 2025-09-09T14:08:55.2275637Z zstandard  ------------------------------ 2.56 MiB/5.30 MiB 2025-09-09T14:08:55.2275848Z virtualenv  ------------------------------ 2.62 MiB/5.71 MiB 2025-09-09T14:08:55.2276049Z lm-eval  ------------------------------ 444.58 KiB/7.18 MiB 2025-09-09T14:08:55.2276252Z matplotlib  ------------------------------ 2.60 MiB/7.93 MiB 2025-09-09T14:08:55.2276448Z ruff  ------------------------------ 2.54 MiB/10.94 MiB 2025-09-09T14:08:55.2276663Z transformers  ------------------------------ 2.65 MiB/11.07 MiB 2025-09-09T14:08:55.2276855Z pandas  ------------------------------ 2.56 MiB/11.79 MiB 2025-09-09T14:08:55.2277354Z scikit-learn  ------------------------------ 2.70 MiB/12.89 MiB 2025-09-09T14:08:55.2277556Z cmake  ------------------------------ 686.91 KiB/26.51 MiB 2025-09-09T14:08:55.2277741Z scipy  ------------------------------ 2.54 MiB/36.82 MiB 2025-09-09T14:08:55.2277951Z pyarrow  ------------------------------ 2.54 MiB/40.77 MiB 2025-09-09T14:08:55.2278188Z bitsandbytes  ------------------------------ 2.56 MiB/58.45 MiB  2025-09-09T14:08:55.2278257Z  2025-09-09T14:08:55.2278329Z  2025-09-09T14:08:55.2278395Z  2025-09-09T14:08:55.2278461Z  2025-09-09T14:08:55.2278526Z  2025-09-09T14:08:55.2278597Z  2025-09-09T14:08:55.2278663Z  2025-09-09T14:08:55.2278729Z  2025-09-09T14:08:55.2278795Z  2025-09-09T14:08:55.2278871Z  2025-09-09T14:08:55.2278939Z  2025-09-09T14:08:55.2279007Z  2025-09-09T14:08:55.2279084Z  2025-09-09T14:08:55.2279158Z  2025-09-09T14:08:55.2279225Z  2025-09-09T14:08:55.2279290Z  2025-09-09T14:08:55.2279452Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.2279642Z hf-xet  ------------------------------ 2.62 MiB/3.04 MiB 2025-09-09T14:08:55.2279843Z tokenizers  ------------------------------ 2.68 MiB/3.19 MiB 2025-09-09T14:08:55.2280043Z fonttools  ------------------------------ 2.56 MiB/4.54 MiB 2025-09-09T14:08:55.2280224Z lxml  ------------------------------ 2.50 MiB/5.05 MiB 2025-09-09T14:08:55.2280419Z zstandard  ------------------------------ 2.62 MiB/5.30 MiB 2025-09-09T14:08:55.2280627Z virtualenv  ------------------------------ 2.65 MiB/5.71 MiB 2025-09-09T14:08:55.2280830Z lm-eval  ------------------------------ 444.58 KiB/7.18 MiB 2025-09-09T14:08:55.2281031Z matplotlib  ------------------------------ 2.68 MiB/7.93 MiB 2025-09-09T14:08:55.2281222Z ruff  ------------------------------ 2.59 MiB/10.94 MiB 2025-09-09T14:08:55.2281427Z transformers  ------------------------------ 2.69 MiB/11.07 MiB 2025-09-09T14:08:55.2281615Z pandas  ------------------------------ 2.62 MiB/11.79 MiB 2025-09-09T14:08:55.3755926Z scikit-learn  ------------------------------ 2.76 MiB/12.89 MiB 2025-09-09T14:08:55.3756553Z cmake  ------------------------------ 718.91 KiB/26.51 MiB 2025-09-09T14:08:55.3757123Z scipy  ------------------------------ 2.58 MiB/36.82 MiB 2025-09-09T14:08:55.3757676Z pyarrow  ------------------------------ 2.61 MiB/40.77 MiB 2025-09-09T14:08:55.3758306Z bitsandbytes  ------------------------------ 2.62 MiB/58.45 MiB  2025-09-09T14:08:55.3758749Z  2025-09-09T14:08:55.3758944Z  2025-09-09T14:08:55.3759130Z  2025-09-09T14:08:55.3759308Z  2025-09-09T14:08:55.3759490Z  2025-09-09T14:08:55.3759675Z  2025-09-09T14:08:55.3759849Z  2025-09-09T14:08:55.3760048Z  2025-09-09T14:08:55.3760229Z  2025-09-09T14:08:55.3760416Z  2025-09-09T14:08:55.3760600Z  2025-09-09T14:08:55.3760779Z  2025-09-09T14:08:55.3760962Z  2025-09-09T14:08:55.3761141Z  2025-09-09T14:08:55.3761323Z  2025-09-09T14:08:55.3761499Z  2025-09-09T14:08:55.3761808Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.3762723Z hf-xet  ------------------------------ 2.93 MiB/3.04 MiB 2025-09-09T14:08:55.3763307Z tokenizers  ------------------------------ 3.00 MiB/3.19 MiB 2025-09-09T14:08:55.3763870Z fonttools  ------------------------------ 2.88 MiB/4.54 MiB 2025-09-09T14:08:55.3764408Z lxml  ------------------------------ 2.75 MiB/5.05 MiB 2025-09-09T14:08:55.3765267Z zstandard  ------------------------------ 2.89 MiB/5.30 MiB 2025-09-09T14:08:55.3765837Z virtualenv  ------------------------------ 2.94 MiB/5.71 MiB 2025-09-09T14:08:55.3766397Z lm-eval  ------------------------------ 524.58 KiB/7.18 MiB 2025-09-09T14:08:55.3766964Z matplotlib  ------------------------------ 2.93 MiB/7.93 MiB 2025-09-09T14:08:55.3767476Z ruff  ------------------------------ 2.89 MiB/10.94 MiB 2025-09-09T14:08:55.3767901Z transformers  ------------------------------ 3.00 MiB/11.07 MiB 2025-09-09T14:08:55.3768325Z pandas  ------------------------------ 2.89 MiB/11.79 MiB 2025-09-09T14:08:55.3768751Z scikit-learn  ------------------------------ 3.03 MiB/12.89 MiB 2025-09-09T14:08:55.3769178Z cmake  ------------------------------ 846.91 KiB/26.51 MiB 2025-09-09T14:08:55.3769586Z scipy  ------------------------------ 2.87 MiB/36.82 MiB 2025-09-09T14:08:55.3769993Z pyarrow  ------------------------------ 2.91 MiB/40.77 MiB 2025-09-09T14:08:55.3770465Z bitsandbytes  ------------------------------ 2.97 MiB/58.45 MiB  2025-09-09T14:08:55.3770818Z  2025-09-09T14:08:55.3770963Z  2025-09-09T14:08:55.3771108Z  2025-09-09T14:08:55.3771247Z  2025-09-09T14:08:55.3771392Z  2025-09-09T14:08:55.3771531Z  2025-09-09T14:08:55.3771676Z  2025-09-09T14:08:55.3771814Z  2025-09-09T14:08:55.3771958Z  2025-09-09T14:08:55.3772104Z  2025-09-09T14:08:55.3772244Z  2025-09-09T14:08:55.3772391Z  2025-09-09T14:08:55.3772536Z  2025-09-09T14:08:55.3772680Z  2025-09-09T14:08:55.3772831Z  2025-09-09T14:08:55.3772978Z  2025-09-09T14:08:55.3773204Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.3773626Z tokenizers  ------------------------------ 3.10 MiB/3.19 MiB 2025-09-09T14:08:55.3774085Z fonttools  ------------------------------ 3.01 MiB/4.54 MiB 2025-09-09T14:08:55.3774504Z lxml  ------------------------------ 2.87 MiB/5.05 MiB 2025-09-09T14:08:55.3775148Z zstandard  ------------------------------ 3.03 MiB/5.30 MiB 2025-09-09T14:08:55.3775584Z virtualenv  ------------------------------ 3.10 MiB/5.71 MiB 2025-09-09T14:08:55.3776031Z lm-eval  ------------------------------ 556.58 KiB/7.18 MiB 2025-09-09T14:08:55.3776475Z matplotlib  ------------------------------ 3.06 MiB/7.93 MiB 2025-09-09T14:08:55.3776907Z ruff  ------------------------------ 3.03 MiB/10.94 MiB 2025-09-09T14:08:55.3777340Z transformers  ------------------------------ 3.14 MiB/11.07 MiB 2025-09-09T14:08:55.3777768Z pandas  ------------------------------ 3.01 MiB/11.79 MiB 2025-09-09T14:08:55.3778366Z scikit-learn  ------------------------------ 3.17 MiB/12.89 MiB 2025-09-09T14:08:55.3779612Z cmake  ------------------------------ 893.73 KiB/26.51 MiB 2025-09-09T14:08:55.3780020Z scipy  ------------------------------ 2.98 MiB/36.82 MiB 2025-09-09T14:08:55.3780429Z pyarrow  ------------------------------ 3.04 MiB/40.77 MiB 2025-09-09T14:08:55.3780885Z bitsandbytes  ------------------------------ 3.08 MiB/58.45 MiB  2025-09-09T14:08:55.3781217Z  2025-09-09T14:08:55.3781375Z  2025-09-09T14:08:55.3781517Z  2025-09-09T14:08:55.3781665Z  2025-09-09T14:08:55.3781801Z  2025-09-09T14:08:55.3781945Z  2025-09-09T14:08:55.3782080Z  2025-09-09T14:08:55.3782220Z  2025-09-09T14:08:55.3782355Z  2025-09-09T14:08:55.3782499Z  2025-09-09T14:08:55.3782646Z  2025-09-09T14:08:55.3782786Z  2025-09-09T14:08:55.3782930Z  2025-09-09T14:08:55.3783071Z  2025-09-09T14:08:55.3783216Z  2025-09-09T14:08:55.3783449Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.3783833Z fonttools  ------------------------------ 3.10 MiB/4.54 MiB 2025-09-09T14:08:55.3784244Z lxml  ------------------------------ 2.94 MiB/5.05 MiB 2025-09-09T14:08:55.3784650Z zstandard  ------------------------------ 3.10 MiB/5.30 MiB 2025-09-09T14:08:55.3785287Z virtualenv  ------------------------------ 3.16 MiB/5.71 MiB 2025-09-09T14:08:55.3785715Z lm-eval  ------------------------------ 575.57 KiB/7.18 MiB 2025-09-09T14:08:55.3786133Z matplotlib  ------------------------------ 3.14 MiB/7.93 MiB 2025-09-09T14:08:55.3786565Z ruff  ------------------------------ 3.11 MiB/10.94 MiB 2025-09-09T14:08:55.3786992Z transformers  ------------------------------ 3.22 MiB/11.07 MiB 2025-09-09T14:08:55.3787411Z pandas  ------------------------------ 3.09 MiB/11.79 MiB 2025-09-09T14:08:55.3787830Z scikit-learn  ------------------------------ 3.26 MiB/12.89 MiB 2025-09-09T14:08:55.3788248Z cmake  ------------------------------ 928.87 KiB/26.51 MiB 2025-09-09T14:08:55.3788667Z scipy  ------------------------------ 3.05 MiB/36.82 MiB 2025-09-09T14:08:55.3789068Z pyarrow  ------------------------------ 3.12 MiB/40.77 MiB 2025-09-09T14:08:55.3789518Z bitsandbytes  ------------------------------ 3.15 MiB/58.45 MiB  2025-09-09T14:08:55.3789851Z  2025-09-09T14:08:55.3790001Z  2025-09-09T14:08:55.3790150Z  2025-09-09T14:08:55.3790288Z  2025-09-09T14:08:55.3790443Z  2025-09-09T14:08:55.3790582Z  2025-09-09T14:08:55.3790725Z  2025-09-09T14:08:55.3790865Z  2025-09-09T14:08:55.3791008Z  2025-09-09T14:08:55.3791149Z  2025-09-09T14:08:55.3791287Z  2025-09-09T14:08:55.3791431Z  2025-09-09T14:08:55.3791569Z  2025-09-09T14:08:55.3791716Z  2025-09-09T14:08:55.3792075Z ⠼ Preparing packages... (82/105) 2025-09-09T14:08:55.3792477Z fonttools  ------------------------------ 3.18 MiB/4.54 MiB 2025-09-09T14:08:55.3792885Z lxml  ------------------------------ 3.01 MiB/5.05 MiB 2025-09-09T14:08:55.3793294Z zstandard  ------------------------------ 3.21 MiB/5.30 MiB 2025-09-09T14:08:55.3793902Z virtualenv  ------------------------------ 3.25 MiB/5.71 MiB 2025-09-09T14:08:55.3794444Z lm-eval  ------------------------------ 604.58 KiB/7.18 MiB 2025-09-09T14:08:55.3794866Z matplotlib  ------------------------------ 3.21 MiB/7.93 MiB 2025-09-09T14:08:55.3795473Z ruff  ------------------------------ 3.21 MiB/10.94 MiB 2025-09-09T14:08:55.3795895Z transformers  ------------------------------ 3.31 MiB/11.07 MiB 2025-09-09T14:08:55.3796322Z pandas  ------------------------------ 3.14 MiB/11.79 MiB 2025-09-09T14:08:55.3796738Z scikit-learn  ------------------------------ 3.37 MiB/12.89 MiB 2025-09-09T14:08:55.3797170Z cmake  ------------------------------ 974.91 KiB/26.51 MiB 2025-09-09T14:08:55.3797571Z scipy  ------------------------------ 3.13 MiB/36.82 MiB 2025-09-09T14:08:55.3797989Z pyarrow  ------------------------------ 3.19 MiB/40.77 MiB 2025-09-09T14:08:55.3798437Z bitsandbytes  ------------------------------ 3.26 MiB/58.45 MiB  2025-09-09T14:08:55.3798760Z  2025-09-09T14:08:55.3798904Z  2025-09-09T14:08:55.3799044Z  2025-09-09T14:08:55.3799186Z  2025-09-09T14:08:55.3799321Z  2025-09-09T14:08:55.3799474Z  2025-09-09T14:08:55.3799614Z  2025-09-09T14:08:55.3799756Z  2025-09-09T14:08:55.3799899Z  2025-09-09T14:08:55.3800041Z  2025-09-09T14:08:55.3800190Z  2025-09-09T14:08:55.3800334Z  2025-09-09T14:08:55.3800470Z  2025-09-09T14:08:55.3800612Z  2025-09-09T14:08:55.3800828Z ⠴ Preparing packages... (91/105) 2025-09-09T14:08:55.3801207Z fonttools  ------------------------------ 3.54 MiB/4.54 MiB 2025-09-09T14:08:55.3801627Z lxml  ------------------------------ 3.35 MiB/5.05 MiB 2025-09-09T14:08:55.3802028Z zstandard  ------------------------------ 3.56 MiB/5.30 MiB 2025-09-09T14:08:55.3802445Z virtualenv  ------------------------------ 3.63 MiB/5.71 MiB 2025-09-09T14:08:55.3802861Z lm-eval  ------------------------------ 684.47 KiB/7.18 MiB 2025-09-09T14:08:55.3803291Z matplotlib  ------------------------------ 3.54 MiB/7.93 MiB 2025-09-09T14:08:55.3803707Z ruff  ------------------------------ 3.57 MiB/10.94 MiB 2025-09-09T14:08:55.3804123Z transformers  ------------------------------ 3.65 MiB/11.07 MiB 2025-09-09T14:08:55.3804554Z pandas  ------------------------------ 3.48 MiB/11.79 MiB 2025-09-09T14:08:55.6169260Z scikit-learn  ------------------------------ 3.70 MiB/12.89 MiB 2025-09-09T14:08:55.6169804Z cmake  ------------------------------ 1.23 MiB/26.51 MiB 2025-09-09T14:08:55.6170286Z scipy  ------------------------------ 3.49 MiB/36.82 MiB 2025-09-09T14:08:55.6170752Z pyarrow  ------------------------------ 3.53 MiB/40.77 MiB 2025-09-09T14:08:55.6171282Z bitsandbytes  ------------------------------ 3.63 MiB/58.45 MiB  2025-09-09T14:08:55.6171669Z  2025-09-09T14:08:55.6171843Z  2025-09-09T14:08:55.6172012Z  2025-09-09T14:08:55.6172168Z  2025-09-09T14:08:55.6172330Z  2025-09-09T14:08:55.6172485Z  2025-09-09T14:08:55.6172646Z  2025-09-09T14:08:55.6172801Z  2025-09-09T14:08:55.6172961Z  2025-09-09T14:08:55.6173417Z  2025-09-09T14:08:55.6173733Z  2025-09-09T14:08:55.6173895Z  2025-09-09T14:08:55.6174057Z  2025-09-09T14:08:55.6174211Z  2025-09-09T14:08:55.6174478Z ⠴ Preparing packages... (91/105) 2025-09-09T14:08:55.6174926Z fonttools  ------------------------------ 3.89 MiB/4.54 MiB 2025-09-09T14:08:55.6175824Z lxml  ------------------------------ 3.70 MiB/5.05 MiB 2025-09-09T14:08:55.6176294Z zstandard  ------------------------------ 3.90 MiB/5.30 MiB 2025-09-09T14:08:55.6176778Z virtualenv  ------------------------------ 3.95 MiB/5.71 MiB 2025-09-09T14:08:55.6177256Z lm-eval  ------------------------------ 764.58 KiB/7.18 MiB 2025-09-09T14:08:55.6177728Z matplotlib  ------------------------------ 3.88 MiB/7.93 MiB 2025-09-09T14:08:55.6178191Z ruff  ------------------------------ 3.90 MiB/10.94 MiB 2025-09-09T14:08:55.6178641Z transformers  ------------------------------ 3.96 MiB/11.07 MiB 2025-09-09T14:08:55.6179088Z pandas  ------------------------------ 3.83 MiB/11.79 MiB 2025-09-09T14:08:55.6179538Z scikit-learn  ------------------------------ 4.03 MiB/12.89 MiB 2025-09-09T14:08:55.6179979Z cmake  ------------------------------ 1.31 MiB/26.51 MiB 2025-09-09T14:08:55.6180425Z scipy  ------------------------------ 3.78 MiB/36.82 MiB 2025-09-09T14:08:55.6180856Z pyarrow  ------------------------------ 3.84 MiB/40.77 MiB 2025-09-09T14:08:55.6181341Z bitsandbytes  ------------------------------ 3.95 MiB/58.45 MiB  2025-09-09T14:08:55.6181707Z  2025-09-09T14:08:55.6181873Z  2025-09-09T14:08:55.6182021Z  2025-09-09T14:08:55.6182173Z  2025-09-09T14:08:55.6182319Z  2025-09-09T14:08:55.6182470Z  2025-09-09T14:08:55.6182613Z  2025-09-09T14:08:55.6182764Z  2025-09-09T14:08:55.6182908Z  2025-09-09T14:08:55.6183058Z  2025-09-09T14:08:55.6183202Z  2025-09-09T14:08:55.6183362Z  2025-09-09T14:08:55.6183508Z  2025-09-09T14:08:55.6183661Z  2025-09-09T14:08:55.6183891Z ⠴ Preparing packages... (91/105) 2025-09-09T14:08:55.6184297Z fonttools  ------------------------------ 4.22 MiB/4.54 MiB 2025-09-09T14:08:55.6184735Z lxml  ------------------------------ 4.03 MiB/5.05 MiB 2025-09-09T14:08:55.6185340Z zstandard  ------------------------------ 4.26 MiB/5.30 MiB 2025-09-09T14:08:55.6185809Z virtualenv  ------------------------------ 4.28 MiB/5.71 MiB 2025-09-09T14:08:55.6186252Z lm-eval  ------------------------------ 860.58 KiB/7.18 MiB 2025-09-09T14:08:55.6186702Z matplotlib  ------------------------------ 4.22 MiB/7.93 MiB 2025-09-09T14:08:55.6187163Z ruff  ------------------------------ 4.23 MiB/10.94 MiB 2025-09-09T14:08:55.6187622Z transformers  ------------------------------ 4.26 MiB/11.07 MiB 2025-09-09T14:08:55.6188066Z pandas  ------------------------------ 4.20 MiB/11.79 MiB 2025-09-09T14:08:55.6188499Z scikit-learn  ------------------------------ 4.40 MiB/12.89 MiB 2025-09-09T14:08:55.6188933Z cmake  ------------------------------ 1.41 MiB/26.51 MiB 2025-09-09T14:08:55.6189489Z scipy  ------------------------------ 4.10 MiB/36.82 MiB 2025-09-09T14:08:55.6190026Z pyarrow  ------------------------------ 4.19 MiB/40.77 MiB 2025-09-09T14:08:55.6190489Z bitsandbytes  ------------------------------ 4.31 MiB/58.45 MiB  2025-09-09T14:08:55.6190814Z  2025-09-09T14:08:55.6190968Z  2025-09-09T14:08:55.6191106Z  2025-09-09T14:08:55.6191252Z  2025-09-09T14:08:55.6191388Z  2025-09-09T14:08:55.6191537Z  2025-09-09T14:08:55.6191676Z  2025-09-09T14:08:55.6191819Z  2025-09-09T14:08:55.6192098Z  2025-09-09T14:08:55.6192244Z  2025-09-09T14:08:55.6192383Z  2025-09-09T14:08:55.6192521Z  2025-09-09T14:08:55.6192660Z  2025-09-09T14:08:55.6192795Z  2025-09-09T14:08:55.6193025Z ⠴ Preparing packages... (91/105) 2025-09-09T14:08:55.6193403Z lxml  ------------------------------ 4.33 MiB/5.05 MiB 2025-09-09T14:08:55.6193827Z zstandard  ------------------------------ 4.60 MiB/5.30 MiB 2025-09-09T14:08:55.6194248Z virtualenv  ------------------------------ 4.60 MiB/5.71 MiB 2025-09-09T14:08:55.6194673Z lm-eval  ------------------------------ 972.58 KiB/7.18 MiB 2025-09-09T14:08:55.6195231Z matplotlib  ------------------------------ 4.58 MiB/7.93 MiB 2025-09-09T14:08:55.6195650Z ruff  ------------------------------ 4.57 MiB/10.94 MiB 2025-09-09T14:08:55.6196085Z transformers  ------------------------------ 4.59 MiB/11.07 MiB 2025-09-09T14:08:55.6196506Z pandas  ------------------------------ 4.52 MiB/11.79 MiB 2025-09-09T14:08:55.6196933Z scikit-learn  ------------------------------ 4.75 MiB/12.89 MiB 2025-09-09T14:08:55.6197354Z cmake  ------------------------------ 1.48 MiB/26.51 MiB 2025-09-09T14:08:55.6197750Z scipy  ------------------------------ 4.44 MiB/36.82 MiB 2025-09-09T14:08:55.6198153Z pyarrow  ------------------------------ 4.50 MiB/40.77 MiB 2025-09-09T14:08:55.6198607Z bitsandbytes  ------------------------------ 4.64 MiB/58.45 MiB  2025-09-09T14:08:55.6198935Z  2025-09-09T14:08:55.6199081Z  2025-09-09T14:08:55.6199220Z  2025-09-09T14:08:55.6199365Z  2025-09-09T14:08:55.6199502Z  2025-09-09T14:08:55.6199644Z  2025-09-09T14:08:55.6199780Z  2025-09-09T14:08:55.6199923Z  2025-09-09T14:08:55.6200060Z  2025-09-09T14:08:55.6200210Z  2025-09-09T14:08:55.6200346Z  2025-09-09T14:08:55.6200506Z  2025-09-09T14:08:55.6200650Z  2025-09-09T14:08:55.6200881Z ⠴ Preparing packages... (91/105) 2025-09-09T14:08:55.6201250Z lxml  ------------------------------ 4.36 MiB/5.05 MiB 2025-09-09T14:08:55.6201675Z zstandard  ------------------------------ 4.62 MiB/5.30 MiB 2025-09-09T14:08:55.6202105Z virtualenv  ------------------------------ 4.62 MiB/5.71 MiB 2025-09-09T14:08:55.6202525Z lm-eval  ------------------------------ 988.58 KiB/7.18 MiB 2025-09-09T14:08:55.6202947Z matplotlib  ------------------------------ 4.59 MiB/7.93 MiB 2025-09-09T14:08:55.6203363Z ruff  ------------------------------ 4.57 MiB/10.94 MiB 2025-09-09T14:08:55.6203792Z transformers  ------------------------------ 4.59 MiB/11.07 MiB 2025-09-09T14:08:55.6204505Z pandas  ------------------------------ 4.54 MiB/11.79 MiB 2025-09-09T14:08:55.6205170Z scikit-learn  ------------------------------ 4.75 MiB/12.89 MiB 2025-09-09T14:08:55.6205606Z cmake  ------------------------------ 1.51 MiB/26.51 MiB 2025-09-09T14:08:55.6205998Z scipy  ------------------------------ 4.44 MiB/36.82 MiB 2025-09-09T14:08:55.6206402Z pyarrow  ------------------------------ 4.50 MiB/40.77 MiB 2025-09-09T14:08:55.6206864Z bitsandbytes  ------------------------------ 4.66 MiB/58.45 MiB  2025-09-09T14:08:55.6207192Z  2025-09-09T14:08:55.6207344Z  2025-09-09T14:08:55.6207481Z  2025-09-09T14:08:55.6207624Z  2025-09-09T14:08:55.6207760Z  2025-09-09T14:08:55.6207902Z  2025-09-09T14:08:55.6208043Z  2025-09-09T14:08:55.6208192Z  2025-09-09T14:08:55.6208329Z  2025-09-09T14:08:55.6208484Z  2025-09-09T14:08:55.6208619Z  2025-09-09T14:08:55.6208758Z  2025-09-09T14:08:55.6208895Z  2025-09-09T14:08:55.6209117Z ⠦ Preparing packages... (91/105) 2025-09-09T14:08:55.6209484Z lxml  ------------------------------ 4.71 MiB/5.05 MiB 2025-09-09T14:08:55.6209886Z zstandard  ------------------------------ 4.97 MiB/5.30 MiB 2025-09-09T14:08:55.6210312Z virtualenv  ------------------------------ 4.95 MiB/5.71 MiB 2025-09-09T14:08:55.6210721Z lm-eval  ------------------------------ 1.03 MiB/7.18 MiB 2025-09-09T14:08:55.6211134Z matplotlib  ------------------------------ 4.98 MiB/7.93 MiB 2025-09-09T14:08:55.6211557Z ruff  ------------------------------ 4.96 MiB/10.94 MiB 2025-09-09T14:08:55.6211976Z transformers  ------------------------------ 4.92 MiB/11.07 MiB 2025-09-09T14:08:55.6212399Z pandas  ------------------------------ 4.95 MiB/11.79 MiB 2025-09-09T14:08:55.6212830Z scikit-learn  ------------------------------ 5.12 MiB/12.89 MiB 2025-09-09T14:08:55.6213247Z cmake  ------------------------------ 1.92 MiB/26.51 MiB 2025-09-09T14:08:55.6213640Z scipy  ------------------------------ 4.79 MiB/36.82 MiB 2025-09-09T14:08:55.6214038Z pyarrow  ------------------------------ 4.88 MiB/40.77 MiB 2025-09-09T14:08:55.6214493Z bitsandbytes  ------------------------------ 5.06 MiB/58.45 MiB  2025-09-09T14:08:55.6214808Z  2025-09-09T14:08:55.6215155Z  2025-09-09T14:08:55.6215306Z  2025-09-09T14:08:55.6215450Z  2025-09-09T14:08:55.6215603Z  2025-09-09T14:08:55.6215747Z  2025-09-09T14:08:55.6215888Z  2025-09-09T14:08:55.6216029Z  2025-09-09T14:08:55.6216172Z  2025-09-09T14:08:55.6216308Z  2025-09-09T14:08:55.6216454Z  2025-09-09T14:08:55.6216594Z  2025-09-09T14:08:55.6216741Z  2025-09-09T14:08:55.7754577Z ⠦ Preparing packages... (91/105) 2025-09-09T14:08:55.7755311Z lxml  ------------------------------ 5.00 MiB/5.05 MiB 2025-09-09T14:08:55.7755821Z virtualenv  ------------------------------ 5.26 MiB/5.71 MiB 2025-09-09T14:08:55.7756316Z lm-eval  ------------------------------ 1.07 MiB/7.18 MiB 2025-09-09T14:08:55.7756817Z matplotlib  ------------------------------ 5.32 MiB/7.93 MiB 2025-09-09T14:08:55.7757745Z ruff  ------------------------------ 5.31 MiB/10.94 MiB 2025-09-09T14:08:55.7758269Z transformers  ------------------------------ 5.24 MiB/11.07 MiB 2025-09-09T14:08:55.7758791Z pandas  ------------------------------ 5.26 MiB/11.79 MiB 2025-09-09T14:08:55.7759311Z scikit-learn  ------------------------------ 5.46 MiB/12.89 MiB 2025-09-09T14:08:55.7759824Z cmake  ------------------------------ 2.24 MiB/26.51 MiB 2025-09-09T14:08:55.7760305Z scipy  ------------------------------ 5.08 MiB/36.82 MiB 2025-09-09T14:08:55.7760789Z pyarrow  ------------------------------ 5.23 MiB/40.77 MiB 2025-09-09T14:08:55.7761359Z bitsandbytes  ------------------------------ 5.34 MiB/58.45 MiB  2025-09-09T14:08:55.7761779Z  2025-09-09T14:08:55.7761952Z  2025-09-09T14:08:55.7762121Z  2025-09-09T14:08:55.7762300Z  2025-09-09T14:08:55.7762467Z  2025-09-09T14:08:55.7762632Z  2025-09-09T14:08:55.7762811Z  2025-09-09T14:08:55.7762975Z  2025-09-09T14:08:55.7763145Z  2025-09-09T14:08:55.7763309Z  2025-09-09T14:08:55.7763476Z  2025-09-09T14:08:55.7763642Z  2025-09-09T14:08:55.7763938Z ⠦ Preparing packages... (91/105) 2025-09-09T14:08:55.7764414Z virtualenv  ------------------------------ 5.30 MiB/5.71 MiB 2025-09-09T14:08:55.7764924Z lm-eval  ------------------------------ 1.07 MiB/7.18 MiB 2025-09-09T14:08:55.7765624Z matplotlib  ------------------------------ 5.34 MiB/7.93 MiB 2025-09-09T14:08:55.7766135Z ruff  ------------------------------ 5.34 MiB/10.94 MiB 2025-09-09T14:08:55.7766646Z transformers  ------------------------------ 5.29 MiB/11.07 MiB 2025-09-09T14:08:55.7767171Z pandas  ------------------------------ 5.29 MiB/11.79 MiB 2025-09-09T14:08:55.7767680Z scikit-learn  ------------------------------ 5.51 MiB/12.89 MiB 2025-09-09T14:08:55.7768162Z cmake  ------------------------------ 2.28 MiB/26.51 MiB 2025-09-09T14:08:55.7768574Z scipy  ------------------------------ 5.12 MiB/36.82 MiB 2025-09-09T14:08:55.7768978Z pyarrow  ------------------------------ 5.26 MiB/40.77 MiB 2025-09-09T14:08:55.7769454Z bitsandbytes  ------------------------------ 5.38 MiB/58.45 MiB  2025-09-09T14:08:55.7769780Z  2025-09-09T14:08:55.7769930Z  2025-09-09T14:08:55.7770093Z  2025-09-09T14:08:55.7770242Z  2025-09-09T14:08:55.7770381Z  2025-09-09T14:08:55.7770523Z  2025-09-09T14:08:55.7770659Z  2025-09-09T14:08:55.7770801Z  2025-09-09T14:08:55.7770937Z  2025-09-09T14:08:55.7771083Z  2025-09-09T14:08:55.7771227Z  2025-09-09T14:08:55.7771448Z ⠦ Preparing packages... (91/105) 2025-09-09T14:08:55.7771846Z virtualenv  ------------------------------ 5.30 MiB/5.71 MiB 2025-09-09T14:08:55.7772270Z lm-eval  ------------------------------ 1.09 MiB/7.18 MiB 2025-09-09T14:08:55.7772691Z matplotlib  ------------------------------ 5.34 MiB/7.93 MiB 2025-09-09T14:08:55.7773109Z ruff  ------------------------------ 5.34 MiB/10.94 MiB 2025-09-09T14:08:55.7773695Z transformers  ------------------------------ 5.29 MiB/11.07 MiB 2025-09-09T14:08:55.7774266Z pandas  ------------------------------ 5.29 MiB/11.79 MiB 2025-09-09T14:08:55.7774689Z scikit-learn  ------------------------------ 5.51 MiB/12.89 MiB 2025-09-09T14:08:55.7775281Z cmake  ------------------------------ 2.37 MiB/26.51 MiB 2025-09-09T14:08:55.7775689Z scipy  ------------------------------ 5.12 MiB/36.82 MiB 2025-09-09T14:08:55.7776110Z pyarrow  ------------------------------ 5.26 MiB/40.77 MiB 2025-09-09T14:08:55.7776572Z bitsandbytes  ------------------------------ 5.38 MiB/58.45 MiB  2025-09-09T14:08:55.7776891Z  2025-09-09T14:08:55.7777039Z  2025-09-09T14:08:55.7777183Z  2025-09-09T14:08:55.7777322Z  2025-09-09T14:08:55.7777457Z  2025-09-09T14:08:55.7777603Z  2025-09-09T14:08:55.7777747Z  2025-09-09T14:08:55.7777887Z  2025-09-09T14:08:55.7778021Z  2025-09-09T14:08:55.7778164Z  2025-09-09T14:08:55.7778312Z  2025-09-09T14:08:55.7778539Z ⠦ Preparing packages... (91/105) 2025-09-09T14:08:55.7778911Z lm-eval  ------------------------------ 1.18 MiB/7.18 MiB 2025-09-09T14:08:55.7779326Z matplotlib  ------------------------------ 5.75 MiB/7.93 MiB 2025-09-09T14:08:55.7779741Z ruff  ------------------------------ 5.76 MiB/10.94 MiB 2025-09-09T14:08:55.7780155Z transformers  ------------------------------ 5.71 MiB/11.07 MiB 2025-09-09T14:08:55.7780581Z pandas  ------------------------------ 5.70 MiB/11.79 MiB 2025-09-09T14:08:55.7781003Z scikit-learn  ------------------------------ 5.93 MiB/12.89 MiB 2025-09-09T14:08:55.7781426Z cmake  ------------------------------ 2.49 MiB/26.51 MiB 2025-09-09T14:08:55.7781822Z scipy  ------------------------------ 5.55 MiB/36.82 MiB 2025-09-09T14:08:55.7782220Z pyarrow  ------------------------------ 5.67 MiB/40.77 MiB 2025-09-09T14:08:55.7782680Z bitsandbytes  ------------------------------ 5.86 MiB/58.45 MiB  2025-09-09T14:08:55.7783006Z  2025-09-09T14:08:55.7783159Z  2025-09-09T14:08:55.7783301Z  2025-09-09T14:08:55.7783437Z  2025-09-09T14:08:55.7783580Z  2025-09-09T14:08:55.7783716Z  2025-09-09T14:08:55.7783861Z  2025-09-09T14:08:55.7783999Z  2025-09-09T14:08:55.7784144Z  2025-09-09T14:08:55.7784279Z  2025-09-09T14:08:55.7784497Z ⠦ Preparing packages... (91/105) 2025-09-09T14:08:55.7784872Z lm-eval  ------------------------------ 1.18 MiB/7.18 MiB 2025-09-09T14:08:55.7785446Z matplotlib  ------------------------------ 5.78 MiB/7.93 MiB 2025-09-09T14:08:55.7785873Z ruff  ------------------------------ 5.82 MiB/10.94 MiB 2025-09-09T14:08:55.7786289Z transformers  ------------------------------ 5.73 MiB/11.07 MiB 2025-09-09T14:08:55.7786716Z pandas  ------------------------------ 5.75 MiB/11.79 MiB 2025-09-09T14:08:55.7787145Z scikit-learn  ------------------------------ 5.98 MiB/12.89 MiB 2025-09-09T14:08:55.7787565Z cmake  ------------------------------ 2.49 MiB/26.51 MiB 2025-09-09T14:08:55.7787981Z scipy  ------------------------------ 5.60 MiB/36.82 MiB 2025-09-09T14:08:55.7788684Z pyarrow  ------------------------------ 5.72 MiB/40.77 MiB 2025-09-09T14:08:55.7789152Z bitsandbytes  ------------------------------ 5.91 MiB/58.45 MiB  2025-09-09T14:08:55.7789473Z  2025-09-09T14:08:55.7789621Z  2025-09-09T14:08:55.7789757Z  2025-09-09T14:08:55.7789901Z  2025-09-09T14:08:55.7790040Z  2025-09-09T14:08:55.7790198Z  2025-09-09T14:08:55.7790335Z  2025-09-09T14:08:55.7790475Z  2025-09-09T14:08:55.7790619Z  2025-09-09T14:08:55.7790752Z  2025-09-09T14:08:55.7790966Z ⠦ Preparing packages... (91/105) 2025-09-09T14:08:55.7791326Z lm-eval  ------------------------------ 1.29 MiB/7.18 MiB 2025-09-09T14:08:55.7791745Z matplotlib  ------------------------------ 6.23 MiB/7.93 MiB 2025-09-09T14:08:55.7792289Z ruff  ------------------------------ 6.29 MiB/10.94 MiB 2025-09-09T14:08:55.7792715Z transformers  ------------------------------ 6.27 MiB/11.07 MiB 2025-09-09T14:08:55.7793136Z pandas  ------------------------------ 6.23 MiB/11.79 MiB 2025-09-09T14:08:55.7793552Z scikit-learn  ------------------------------ 6.48 MiB/12.89 MiB 2025-09-09T14:08:55.7793967Z cmake  ------------------------------ 2.56 MiB/26.51 MiB 2025-09-09T14:08:55.7794362Z scipy  ------------------------------ 6.13 MiB/36.82 MiB 2025-09-09T14:08:55.7794760Z pyarrow  ------------------------------ 6.25 MiB/40.77 MiB 2025-09-09T14:08:55.7795460Z bitsandbytes  ------------------------------ 6.39 MiB/58.45 MiB  2025-09-09T14:08:55.7795781Z  2025-09-09T14:08:55.7795932Z  2025-09-09T14:08:55.7796076Z  2025-09-09T14:08:55.7796231Z  2025-09-09T14:08:55.7796371Z  2025-09-09T14:08:55.7796516Z  2025-09-09T14:08:55.7796652Z  2025-09-09T14:08:55.7796793Z  2025-09-09T14:08:55.7796929Z  2025-09-09T14:08:55.7797084Z  2025-09-09T14:08:55.7797309Z ⠧ Preparing packages... (95/105) 2025-09-09T14:08:55.7797684Z lm-eval  ------------------------------ 1.39 MiB/7.18 MiB 2025-09-09T14:08:55.7798112Z matplotlib  ------------------------------ 6.75 MiB/7.93 MiB 2025-09-09T14:08:55.7798531Z ruff  ------------------------------ 6.76 MiB/10.94 MiB 2025-09-09T14:08:55.7798955Z transformers  ------------------------------ 6.71 MiB/11.07 MiB 2025-09-09T14:08:55.7813722Z pandas  ------------------------------ 6.76 MiB/11.79 MiB 2025-09-09T14:08:55.7814233Z scikit-learn  ------------------------------ 7.00 MiB/12.89 MiB 2025-09-09T14:08:55.7814670Z cmake  ------------------------------ 2.64 MiB/26.51 MiB 2025-09-09T14:08:55.7815272Z scipy  ------------------------------ 6.63 MiB/36.82 MiB 2025-09-09T14:08:56.1254729Z pyarrow  ------------------------------ 6.76 MiB/40.77 MiB 2025-09-09T14:08:56.1255646Z bitsandbytes  ------------------------------ 6.89 MiB/58.45 MiB  2025-09-09T14:08:56.1256069Z  2025-09-09T14:08:56.1256247Z  2025-09-09T14:08:56.1256423Z  2025-09-09T14:08:56.1256591Z  2025-09-09T14:08:56.1256765Z  2025-09-09T14:08:56.1256934Z  2025-09-09T14:08:56.1257107Z  2025-09-09T14:08:56.1257270Z  2025-09-09T14:08:56.1257444Z  2025-09-09T14:08:56.1258032Z  2025-09-09T14:08:56.1258313Z ⠧ Preparing packages... (95/105) 2025-09-09T14:08:56.1258764Z lm-eval  ------------------------------ 1.47 MiB/7.18 MiB 2025-09-09T14:08:56.1259250Z matplotlib  ------------------------------ 7.31 MiB/7.93 MiB 2025-09-09T14:08:56.1259734Z ruff  ------------------------------ 7.28 MiB/10.94 MiB 2025-09-09T14:08:56.1260210Z transformers  ------------------------------ 7.15 MiB/11.07 MiB 2025-09-09T14:08:56.1260701Z pandas  ------------------------------ 7.22 MiB/11.79 MiB 2025-09-09T14:08:56.1261222Z scikit-learn  ------------------------------ 7.51 MiB/12.89 MiB 2025-09-09T14:08:56.1261706Z cmake  ------------------------------ 2.73 MiB/26.51 MiB 2025-09-09T14:08:56.1262179Z scipy  ------------------------------ 7.09 MiB/36.82 MiB 2025-09-09T14:08:56.1262636Z pyarrow  ------------------------------ 7.25 MiB/40.77 MiB 2025-09-09T14:08:56.1263162Z bitsandbytes  ------------------------------ 7.35 MiB/58.45 MiB  2025-09-09T14:08:56.1263545Z  2025-09-09T14:08:56.1263706Z  2025-09-09T14:08:56.1263865Z  2025-09-09T14:08:56.1264019Z  2025-09-09T14:08:56.1264179Z  2025-09-09T14:08:56.1264331Z  2025-09-09T14:08:56.1264493Z  2025-09-09T14:08:56.1264645Z  2025-09-09T14:08:56.1264804Z  2025-09-09T14:08:56.1265119Z  2025-09-09T14:08:56.1265379Z ⠧ Preparing packages... (95/105) 2025-09-09T14:08:56.1265804Z lm-eval  ------------------------------ 1.47 MiB/7.18 MiB 2025-09-09T14:08:56.1266298Z matplotlib  ------------------------------ 7.53 MiB/7.93 MiB 2025-09-09T14:08:56.1266787Z ruff  ------------------------------ 7.54 MiB/10.94 MiB 2025-09-09T14:08:56.1267275Z transformers  ------------------------------ 7.15 MiB/11.07 MiB 2025-09-09T14:08:56.1267770Z pandas  ------------------------------ 7.22 MiB/11.79 MiB 2025-09-09T14:08:56.1268212Z scikit-learn  ------------------------------ 7.57 MiB/12.89 MiB 2025-09-09T14:08:56.1268649Z cmake  ------------------------------ 2.73 MiB/26.51 MiB 2025-09-09T14:08:56.1269079Z scipy  ------------------------------ 7.37 MiB/36.82 MiB 2025-09-09T14:08:56.1269494Z pyarrow  ------------------------------ 7.50 MiB/40.77 MiB 2025-09-09T14:08:56.1269971Z bitsandbytes  ------------------------------ 7.60 MiB/58.45 MiB  2025-09-09T14:08:56.1270310Z  2025-09-09T14:08:56.1270455Z  2025-09-09T14:08:56.1270606Z  2025-09-09T14:08:56.1270744Z  2025-09-09T14:08:56.1270890Z  2025-09-09T14:08:56.1271027Z  2025-09-09T14:08:56.1271174Z  2025-09-09T14:08:56.1271310Z  2025-09-09T14:08:56.1271453Z  2025-09-09T14:08:56.1271601Z  2025-09-09T14:08:56.1271835Z ⠇ Preparing packages... (95/105) 2025-09-09T14:08:56.1272353Z lm-eval  ------------------------------ 1.47 MiB/7.18 MiB 2025-09-09T14:08:56.1272775Z matplotlib  ------------------------------ 7.53 MiB/7.93 MiB 2025-09-09T14:08:56.1273199Z ruff  ------------------------------ 7.56 MiB/10.94 MiB 2025-09-09T14:08:56.1273615Z transformers  ------------------------------ 7.15 MiB/11.07 MiB 2025-09-09T14:08:56.1274412Z pandas  ------------------------------ 7.22 MiB/11.79 MiB 2025-09-09T14:08:56.1274839Z scikit-learn  ------------------------------ 7.57 MiB/12.89 MiB 2025-09-09T14:08:56.1275416Z cmake  ------------------------------ 2.73 MiB/26.51 MiB 2025-09-09T14:08:56.1275815Z scipy  ------------------------------ 7.38 MiB/36.82 MiB 2025-09-09T14:08:56.1276213Z pyarrow  ------------------------------ 7.52 MiB/40.77 MiB 2025-09-09T14:08:56.1276675Z bitsandbytes  ------------------------------ 7.62 MiB/58.45 MiB  2025-09-09T14:08:56.1277000Z  2025-09-09T14:08:56.1277150Z  2025-09-09T14:08:56.1277289Z  2025-09-09T14:08:56.1277447Z  2025-09-09T14:08:56.1277590Z  2025-09-09T14:08:56.1277737Z  2025-09-09T14:08:56.1277891Z  2025-09-09T14:08:56.1278030Z  2025-09-09T14:08:56.1278177Z  2025-09-09T14:08:56.1278329Z  2025-09-09T14:08:56.1278561Z ⠇ Preparing packages... (95/105) 2025-09-09T14:08:56.1278940Z lm-eval  ------------------------------ 1.47 MiB/7.18 MiB 2025-09-09T14:08:56.1279359Z matplotlib  ------------------------------ 7.53 MiB/7.93 MiB 2025-09-09T14:08:56.1279771Z ruff  ------------------------------ 7.56 MiB/10.94 MiB 2025-09-09T14:08:56.1280188Z transformers  ------------------------------ 7.15 MiB/11.07 MiB 2025-09-09T14:08:56.1280615Z pandas  ------------------------------ 7.22 MiB/11.79 MiB 2025-09-09T14:08:56.1281032Z scikit-learn  ------------------------------ 7.57 MiB/12.89 MiB 2025-09-09T14:08:56.1281455Z cmake  ------------------------------ 2.75 MiB/26.51 MiB 2025-09-09T14:08:56.1281870Z scipy  ------------------------------ 7.38 MiB/36.82 MiB 2025-09-09T14:08:56.1282277Z pyarrow  ------------------------------ 7.52 MiB/40.77 MiB 2025-09-09T14:08:56.1282743Z bitsandbytes  ------------------------------ 7.62 MiB/58.45 MiB  2025-09-09T14:08:56.1283083Z  2025-09-09T14:08:56.1283230Z  2025-09-09T14:08:56.1283373Z  2025-09-09T14:08:56.1283512Z  2025-09-09T14:08:56.1283656Z  2025-09-09T14:08:56.1283798Z  2025-09-09T14:08:56.1283941Z  2025-09-09T14:08:56.1284076Z  2025-09-09T14:08:56.1284218Z  2025-09-09T14:08:56.1284366Z  2025-09-09T14:08:56.1284588Z ⠇ Preparing packages... (95/105) 2025-09-09T14:08:56.1285116Z lm-eval  ------------------------------ 1.50 MiB/7.18 MiB 2025-09-09T14:08:56.1285556Z matplotlib  ------------------------------ 7.66 MiB/7.93 MiB 2025-09-09T14:08:56.1285972Z ruff  ------------------------------ 7.59 MiB/10.94 MiB 2025-09-09T14:08:56.1286385Z transformers  ------------------------------ 7.15 MiB/11.07 MiB 2025-09-09T14:08:56.1286810Z pandas  ------------------------------ 7.61 MiB/11.79 MiB 2025-09-09T14:08:56.1287235Z scikit-learn  ------------------------------ 7.84 MiB/12.89 MiB 2025-09-09T14:08:56.1287656Z cmake  ------------------------------ 2.80 MiB/26.51 MiB 2025-09-09T14:08:56.1288056Z scipy  ------------------------------ 7.42 MiB/36.82 MiB 2025-09-09T14:08:56.1288612Z pyarrow  ------------------------------ 7.55 MiB/40.77 MiB 2025-09-09T14:08:56.1289204Z bitsandbytes  ------------------------------ 7.68 MiB/58.45 MiB  2025-09-09T14:08:56.1289523Z  2025-09-09T14:08:56.1289675Z  2025-09-09T14:08:56.1289811Z  2025-09-09T14:08:56.1289954Z  2025-09-09T14:08:56.1290090Z  2025-09-09T14:08:56.1290232Z  2025-09-09T14:08:56.1290368Z  2025-09-09T14:08:56.1290516Z  2025-09-09T14:08:56.1290659Z  2025-09-09T14:08:56.1290797Z  2025-09-09T14:08:56.1291021Z ⠇ Preparing packages... (95/105) 2025-09-09T14:08:56.1291389Z lm-eval  ------------------------------ 1.64 MiB/7.18 MiB 2025-09-09T14:08:56.1291809Z matplotlib  ------------------------------ 7.92 MiB/7.93 MiB 2025-09-09T14:08:56.1292216Z ruff  ------------------------------ 7.89 MiB/10.94 MiB 2025-09-09T14:08:56.1292652Z transformers  ------------------------------ 7.15 MiB/11.07 MiB 2025-09-09T14:08:56.1293077Z pandas  ------------------------------ 7.87 MiB/11.79 MiB 2025-09-09T14:08:56.1293507Z scikit-learn  ------------------------------ 8.03 MiB/12.89 MiB 2025-09-09T14:08:56.1293928Z cmake  ------------------------------ 2.80 MiB/26.51 MiB 2025-09-09T14:08:56.1294321Z scipy  ------------------------------ 7.68 MiB/36.82 MiB 2025-09-09T14:08:56.1294730Z pyarrow  ------------------------------ 7.81 MiB/40.77 MiB 2025-09-09T14:08:56.1295326Z bitsandbytes  ------------------------------ 7.95 MiB/58.45 MiB  2025-09-09T14:08:56.1295644Z  2025-09-09T14:08:56.1295789Z  2025-09-09T14:08:56.1295947Z  2025-09-09T14:08:56.1296094Z  2025-09-09T14:08:56.1296231Z  2025-09-09T14:08:56.1296373Z  2025-09-09T14:08:56.1296508Z  2025-09-09T14:08:56.1296654Z  2025-09-09T14:08:56.1296787Z  2025-09-09T14:08:56.1296926Z  2025-09-09T14:08:56.1297152Z ⠇ Preparing packages... (95/105) 2025-09-09T14:08:56.1297520Z lm-eval  ------------------------------ 1.67 MiB/7.18 MiB 2025-09-09T14:08:56.1297919Z ruff  ------------------------------ 7.92 MiB/10.94 MiB 2025-09-09T14:08:56.1298328Z transformers  ------------------------------ 7.15 MiB/11.07 MiB 2025-09-09T14:08:56.1298754Z pandas  ------------------------------ 7.90 MiB/11.79 MiB 2025-09-09T14:08:56.1299167Z scikit-learn  ------------------------------ 8.03 MiB/12.89 MiB 2025-09-09T14:08:56.1299598Z cmake  ------------------------------ 2.80 MiB/26.51 MiB 2025-09-09T14:08:56.1299992Z scipy  ------------------------------ 7.71 MiB/36.82 MiB 2025-09-09T14:08:56.1300387Z pyarrow  ------------------------------ 7.86 MiB/40.77 MiB 2025-09-09T14:08:56.1300842Z bitsandbytes  ------------------------------ 7.99 MiB/58.45 MiB  2025-09-09T14:08:56.1301156Z  2025-09-09T14:08:56.1301300Z  2025-09-09T14:08:56.1301436Z  2025-09-09T14:08:56.1301580Z  2025-09-09T14:08:56.1301730Z  2025-09-09T14:08:56.1301876Z  2025-09-09T14:08:56.1302013Z  2025-09-09T14:08:56.1302157Z  2025-09-09T14:08:56.1302301Z  2025-09-09T14:08:56.4256164Z ⠇ Preparing packages... (95/105) 2025-09-09T14:08:56.4256886Z lm-eval  ------------------------------ 1.75 MiB/7.18 MiB 2025-09-09T14:08:56.4257525Z ruff  ------------------------------ 8.14 MiB/10.94 MiB 2025-09-09T14:08:56.4258028Z transformers  ------------------------------ 7.86 MiB/11.07 MiB 2025-09-09T14:08:56.4258516Z pandas  ------------------------------ 8.13 MiB/11.79 MiB 2025-09-09T14:08:56.4258994Z scikit-learn  ------------------------------ 8.34 MiB/12.89 MiB 2025-09-09T14:08:56.4259474Z cmake  ------------------------------ 3.30 MiB/26.51 MiB 2025-09-09T14:08:56.4259931Z scipy  ------------------------------ 7.93 MiB/36.82 MiB 2025-09-09T14:08:56.4260404Z pyarrow  ------------------------------ 8.08 MiB/40.77 MiB 2025-09-09T14:08:56.4260951Z bitsandbytes  ------------------------------ 8.21 MiB/58.45 MiB  2025-09-09T14:08:56.4261344Z  2025-09-09T14:08:56.4261511Z  2025-09-09T14:08:56.4261668Z  2025-09-09T14:08:56.4261834Z  2025-09-09T14:08:56.4261988Z  2025-09-09T14:08:56.4262148Z  2025-09-09T14:08:56.4262300Z  2025-09-09T14:08:56.4262459Z  2025-09-09T14:08:56.4262609Z  2025-09-09T14:08:56.4262856Z ⠋ Preparing packages... (96/105) 2025-09-09T14:08:56.4263271Z lm-eval  ------------------------------ 1.76 MiB/7.18 MiB 2025-09-09T14:08:56.4263739Z ruff  ------------------------------ 8.82 MiB/10.94 MiB 2025-09-09T14:08:56.4264215Z transformers  ------------------------------ 8.12 MiB/11.07 MiB 2025-09-09T14:08:56.4264694Z pandas  ------------------------------ 8.40 MiB/11.79 MiB 2025-09-09T14:08:56.4265556Z scikit-learn  ------------------------------ 8.81 MiB/12.89 MiB 2025-09-09T14:08:56.4266049Z cmake  ------------------------------ 5.72 MiB/26.51 MiB 2025-09-09T14:08:56.4266523Z scipy  ------------------------------ 8.39 MiB/36.82 MiB 2025-09-09T14:08:56.4266981Z pyarrow  ------------------------------ 8.82 MiB/40.77 MiB 2025-09-09T14:08:56.4267497Z bitsandbytes  ------------------------------ 8.90 MiB/58.45 MiB  2025-09-09T14:08:56.4267850Z  2025-09-09T14:08:56.4268004Z  2025-09-09T14:08:56.4268144Z  2025-09-09T14:08:56.4268286Z  2025-09-09T14:08:56.4268421Z  2025-09-09T14:08:56.4268564Z  2025-09-09T14:08:56.4268701Z  2025-09-09T14:08:56.4268845Z  2025-09-09T14:08:56.4268982Z  2025-09-09T14:08:56.4269200Z ⠋ Preparing packages... (96/105) 2025-09-09T14:08:56.4269580Z lm-eval  ------------------------------ 1.79 MiB/7.18 MiB 2025-09-09T14:08:56.4269991Z ruff  ------------------------------ 9.48 MiB/10.94 MiB 2025-09-09T14:08:56.4270415Z transformers  ------------------------------ 8.56 MiB/11.07 MiB 2025-09-09T14:08:56.4270832Z pandas  ------------------------------ 8.78 MiB/11.79 MiB 2025-09-09T14:08:56.4271253Z scikit-learn  ------------------------------ 9.64 MiB/12.89 MiB 2025-09-09T14:08:56.4271659Z cmake  ------------------------------ 6.39 MiB/26.51 MiB 2025-09-09T14:08:56.4272196Z scipy  ------------------------------ 9.28 MiB/36.82 MiB 2025-09-09T14:08:56.4272612Z pyarrow  ------------------------------ 9.47 MiB/40.77 MiB 2025-09-09T14:08:56.4273394Z bitsandbytes  ------------------------------ 9.54 MiB/58.45 MiB  2025-09-09T14:08:56.4273740Z  2025-09-09T14:08:56.4273884Z  2025-09-09T14:08:56.4274029Z  2025-09-09T14:08:56.4274165Z  2025-09-09T14:08:56.4274307Z  2025-09-09T14:08:56.4274443Z  2025-09-09T14:08:56.4274587Z  2025-09-09T14:08:56.4274726Z  2025-09-09T14:08:56.4274878Z  2025-09-09T14:08:56.4275254Z ⠋ Preparing packages... (96/105) 2025-09-09T14:08:56.4275629Z lm-eval  ------------------------------ 1.84 MiB/7.18 MiB 2025-09-09T14:08:56.4276040Z ruff  ------------------------------ 10.07 MiB/10.94 MiB 2025-09-09T14:08:56.4276469Z transformers  ------------------------------ 9.11 MiB/11.07 MiB 2025-09-09T14:08:56.4276921Z pandas  ------------------------------ 9.15 MiB/11.79 MiB 2025-09-09T14:08:56.4277359Z scikit-learn  ------------------------------ 10.39 MiB/12.89 MiB 2025-09-09T14:08:56.4277789Z cmake  ------------------------------ 6.97 MiB/26.51 MiB 2025-09-09T14:08:56.4278188Z scipy  ------------------------------ 9.97 MiB/36.82 MiB 2025-09-09T14:08:56.4278610Z pyarrow  ------------------------------ 10.07 MiB/40.77 MiB 2025-09-09T14:08:56.4279076Z bitsandbytes  ------------------------------ 10.15 MiB/58.45 MiB  2025-09-09T14:08:56.4279394Z  2025-09-09T14:08:56.4279539Z  2025-09-09T14:08:56.4279673Z  2025-09-09T14:08:56.4279816Z  2025-09-09T14:08:56.4279958Z  2025-09-09T14:08:56.4280100Z  2025-09-09T14:08:56.4280237Z  2025-09-09T14:08:56.4280379Z  2025-09-09T14:08:56.4280520Z  2025-09-09T14:08:56.4280746Z ⠋ Preparing packages... (96/105) 2025-09-09T14:08:56.4281130Z lm-eval  ------------------------------ 1.90 MiB/7.18 MiB 2025-09-09T14:08:56.4281535Z ruff  ------------------------------ 10.64 MiB/10.94 MiB 2025-09-09T14:08:56.4281956Z transformers  ------------------------------ 9.73 MiB/11.07 MiB 2025-09-09T14:08:56.4282376Z pandas  ------------------------------ 9.54 MiB/11.79 MiB 2025-09-09T14:08:56.4282795Z scikit-learn  ------------------------------ 10.93 MiB/12.89 MiB 2025-09-09T14:08:56.4283226Z cmake  ------------------------------ 7.53 MiB/26.51 MiB 2025-09-09T14:08:56.4283631Z scipy  ------------------------------ 10.49 MiB/36.82 MiB 2025-09-09T14:08:56.4284057Z pyarrow  ------------------------------ 10.58 MiB/40.77 MiB 2025-09-09T14:08:56.4284510Z bitsandbytes  ------------------------------ 10.70 MiB/58.45 MiB  2025-09-09T14:08:56.4284834Z  2025-09-09T14:08:56.4285103Z  2025-09-09T14:08:56.4285255Z  2025-09-09T14:08:56.4285390Z  2025-09-09T14:08:56.4285528Z  2025-09-09T14:08:56.4285661Z  2025-09-09T14:08:56.4285816Z  2025-09-09T14:08:56.4285951Z  2025-09-09T14:08:56.4286094Z  2025-09-09T14:08:56.4286312Z ⠙ Preparing packages... (96/105) 2025-09-09T14:08:56.4286681Z lm-eval  ------------------------------ 1.92 MiB/7.18 MiB 2025-09-09T14:08:56.4287112Z transformers  ------------------------------ 10.19 MiB/11.07 MiB 2025-09-09T14:08:56.4287545Z pandas  ------------------------------ 9.76 MiB/11.79 MiB 2025-09-09T14:08:56.4288289Z scikit-learn  ------------------------------ 11.21 MiB/12.89 MiB 2025-09-09T14:08:56.4288719Z cmake  ------------------------------ 7.92 MiB/26.51 MiB 2025-09-09T14:08:56.4289120Z scipy  ------------------------------ 10.85 MiB/36.82 MiB 2025-09-09T14:08:56.4289528Z pyarrow  ------------------------------ 10.95 MiB/40.77 MiB 2025-09-09T14:08:56.4289978Z bitsandbytes  ------------------------------ 11.05 MiB/58.45 MiB  2025-09-09T14:08:56.4290318Z  2025-09-09T14:08:56.4290463Z  2025-09-09T14:08:56.4290620Z  2025-09-09T14:08:56.4290760Z  2025-09-09T14:08:56.4290902Z  2025-09-09T14:08:56.4291037Z  2025-09-09T14:08:56.4291180Z  2025-09-09T14:08:56.4291321Z  2025-09-09T14:08:56.4291538Z ⠙ Preparing packages... (96/105) 2025-09-09T14:08:56.4291914Z lm-eval  ------------------------------ 1.94 MiB/7.18 MiB 2025-09-09T14:08:56.4292339Z transformers  ------------------------------ 10.47 MiB/11.07 MiB 2025-09-09T14:08:56.4292780Z pandas  ------------------------------ 9.98 MiB/11.79 MiB 2025-09-09T14:08:56.4293204Z scikit-learn  ------------------------------ 11.51 MiB/12.89 MiB 2025-09-09T14:08:56.4293638Z cmake  ------------------------------ 8.15 MiB/26.51 MiB 2025-09-09T14:08:56.4294044Z scipy  ------------------------------ 11.11 MiB/36.82 MiB 2025-09-09T14:08:56.4294448Z pyarrow  ------------------------------ 11.25 MiB/40.77 MiB 2025-09-09T14:08:56.4294907Z bitsandbytes  ------------------------------ 11.27 MiB/58.45 MiB  2025-09-09T14:08:56.4295520Z  2025-09-09T14:08:56.4295681Z  2025-09-09T14:08:56.4295821Z  2025-09-09T14:08:56.4295966Z  2025-09-09T14:08:56.4296101Z  2025-09-09T14:08:56.4296247Z  2025-09-09T14:08:56.4296389Z  2025-09-09T14:08:56.4296526Z  2025-09-09T14:08:56.4296743Z ⠙ Preparing packages... (96/105) 2025-09-09T14:08:56.4297117Z lm-eval  ------------------------------ 1.97 MiB/7.18 MiB 2025-09-09T14:08:56.4297537Z pandas  ------------------------------ 10.13 MiB/11.79 MiB 2025-09-09T14:08:56.4297959Z scikit-learn  ------------------------------ 11.89 MiB/12.89 MiB 2025-09-09T14:08:56.4298378Z cmake  ------------------------------ 8.62 MiB/26.51 MiB 2025-09-09T14:08:56.4298788Z scipy  ------------------------------ 11.48 MiB/36.82 MiB 2025-09-09T14:08:56.4299193Z pyarrow  ------------------------------ 11.68 MiB/40.77 MiB 2025-09-09T14:08:56.4299645Z bitsandbytes  ------------------------------ 11.71 MiB/58.45 MiB  2025-09-09T14:08:56.4299961Z  2025-09-09T14:08:56.4300105Z  2025-09-09T14:08:56.4300240Z  2025-09-09T14:08:56.4300393Z  2025-09-09T14:08:56.4300533Z  2025-09-09T14:08:56.4300674Z  2025-09-09T14:08:56.4300817Z  2025-09-09T14:08:56.4301025Z ⠙ Preparing packages... (96/105) 2025-09-09T14:08:56.4301389Z lm-eval  ------------------------------ 1.98 MiB/7.18 MiB 2025-09-09T14:08:56.4301793Z pandas  ------------------------------ 10.22 MiB/11.79 MiB 2025-09-09T14:08:56.9256571Z scikit-learn  ------------------------------ 12.31 MiB/12.89 MiB 2025-09-09T14:08:56.9257663Z cmake  ------------------------------ 9.00 MiB/26.51 MiB 2025-09-09T14:08:56.9258136Z scipy  ------------------------------ 11.83 MiB/36.82 MiB 2025-09-09T14:08:56.9258619Z pyarrow  ------------------------------ 12.15 MiB/40.77 MiB 2025-09-09T14:08:56.9259156Z bitsandbytes  ------------------------------ 12.14 MiB/58.45 MiB  2025-09-09T14:08:56.9259543Z  2025-09-09T14:08:56.9259710Z  2025-09-09T14:08:56.9259863Z  2025-09-09T14:08:56.9260022Z  2025-09-09T14:08:56.9260189Z  2025-09-09T14:08:56.9260348Z  2025-09-09T14:08:56.9260503Z  2025-09-09T14:08:56.9260813Z ⠙ Preparing packages... (96/105) 2025-09-09T14:08:56.9261257Z lm-eval  ------------------------------ 2.01 MiB/7.18 MiB 2025-09-09T14:08:56.9261765Z pandas  ------------------------------ 10.50 MiB/11.79 MiB 2025-09-09T14:08:56.9262232Z cmake  ------------------------------ 10.20 MiB/26.51 MiB 2025-09-09T14:08:56.9262694Z scipy  ------------------------------ 12.68 MiB/36.82 MiB 2025-09-09T14:08:56.9263163Z pyarrow  ------------------------------ 13.44 MiB/40.77 MiB 2025-09-09T14:08:56.9263688Z bitsandbytes  ------------------------------ 13.40 MiB/58.45 MiB  2025-09-09T14:08:56.9264064Z  2025-09-09T14:08:56.9264223Z  2025-09-09T14:08:56.9264385Z  2025-09-09T14:08:56.9264548Z  2025-09-09T14:08:56.9264710Z  2025-09-09T14:08:56.9264864Z  2025-09-09T14:08:56.9265291Z ⠙ Preparing packages... (96/105) 2025-09-09T14:08:56.9265713Z lm-eval  ------------------------------ 2.01 MiB/7.18 MiB 2025-09-09T14:08:56.9266198Z pandas  ------------------------------ 10.50 MiB/11.79 MiB 2025-09-09T14:08:56.9266663Z cmake  ------------------------------ 10.31 MiB/26.51 MiB 2025-09-09T14:08:56.9267115Z scipy  ------------------------------ 12.92 MiB/36.82 MiB 2025-09-09T14:08:56.9267580Z pyarrow  ------------------------------ 13.50 MiB/40.77 MiB 2025-09-09T14:08:56.9268100Z bitsandbytes  ------------------------------ 13.45 MiB/58.45 MiB  2025-09-09T14:08:56.9268457Z  2025-09-09T14:08:56.9268602Z  2025-09-09T14:08:56.9268737Z  2025-09-09T14:08:56.9268887Z  2025-09-09T14:08:56.9269024Z  2025-09-09T14:08:56.9269167Z  2025-09-09T14:08:56.9269386Z ⠙ Preparing packages... (96/105) 2025-09-09T14:08:56.9269782Z lm-eval  ------------------------------ 2.03 MiB/7.18 MiB 2025-09-09T14:08:56.9270196Z pandas  ------------------------------ 10.68 MiB/11.79 MiB 2025-09-09T14:08:56.9270605Z cmake  ------------------------------ 12.07 MiB/26.51 MiB 2025-09-09T14:08:56.9271008Z scipy  ------------------------------ 14.14 MiB/36.82 MiB 2025-09-09T14:08:56.9271414Z pyarrow  ------------------------------ 15.00 MiB/40.77 MiB 2025-09-09T14:08:56.9271877Z bitsandbytes  ------------------------------ 15.23 MiB/58.45 MiB  2025-09-09T14:08:56.9272307Z  2025-09-09T14:08:56.9272453Z  2025-09-09T14:08:56.9272588Z  2025-09-09T14:08:56.9272731Z  2025-09-09T14:08:56.9272867Z  2025-09-09T14:08:56.9273009Z  2025-09-09T14:08:56.9273592Z ⠹ Preparing packages... (99/105) 2025-09-09T14:08:56.9273982Z lm-eval  ------------------------------ 2.04 MiB/7.18 MiB 2025-09-09T14:08:56.9274401Z pandas  ------------------------------ 10.92 MiB/11.79 MiB 2025-09-09T14:08:56.9274805Z cmake  ------------------------------ 13.48 MiB/26.51 MiB 2025-09-09T14:08:56.9275378Z scipy  ------------------------------ 15.49 MiB/36.82 MiB 2025-09-09T14:08:56.9275785Z pyarrow  ------------------------------ 16.38 MiB/40.77 MiB 2025-09-09T14:08:56.9276251Z bitsandbytes  ------------------------------ 16.57 MiB/58.45 MiB  2025-09-09T14:08:56.9276581Z  2025-09-09T14:08:56.9276729Z  2025-09-09T14:08:56.9276872Z  2025-09-09T14:08:56.9277008Z  2025-09-09T14:08:56.9277163Z  2025-09-09T14:08:56.9277310Z  2025-09-09T14:08:56.9277538Z ⠹ Preparing packages... (99/105) 2025-09-09T14:08:56.9277906Z lm-eval  ------------------------------ 2.06 MiB/7.18 MiB 2025-09-09T14:08:56.9278327Z pandas  ------------------------------ 11.12 MiB/11.79 MiB 2025-09-09T14:08:56.9278741Z cmake  ------------------------------ 15.15 MiB/26.51 MiB 2025-09-09T14:08:56.9279140Z scipy  ------------------------------ 16.85 MiB/36.82 MiB 2025-09-09T14:08:56.9279549Z pyarrow  ------------------------------ 17.70 MiB/40.77 MiB 2025-09-09T14:08:56.9280011Z bitsandbytes  ------------------------------ 18.06 MiB/58.45 MiB  2025-09-09T14:08:56.9280337Z  2025-09-09T14:08:56.9280479Z  2025-09-09T14:08:56.9280633Z  2025-09-09T14:08:56.9280787Z  2025-09-09T14:08:56.9280922Z  2025-09-09T14:08:56.9281065Z  2025-09-09T14:08:56.9281300Z ⠹ Preparing packages... (99/105) 2025-09-09T14:08:56.9281664Z lm-eval  ------------------------------ 2.07 MiB/7.18 MiB 2025-09-09T14:08:56.9282073Z pandas  ------------------------------ 11.25 MiB/11.79 MiB 2025-09-09T14:08:56.9282474Z cmake  ------------------------------ 16.59 MiB/26.51 MiB 2025-09-09T14:08:56.9282869Z scipy  ------------------------------ 18.13 MiB/36.82 MiB 2025-09-09T14:08:56.9283267Z pyarrow  ------------------------------ 19.35 MiB/40.77 MiB 2025-09-09T14:08:56.9283720Z bitsandbytes  ------------------------------ 19.71 MiB/58.45 MiB  2025-09-09T14:08:56.9284058Z  2025-09-09T14:08:56.9284203Z  2025-09-09T14:08:56.9284350Z  2025-09-09T14:08:56.9284484Z  2025-09-09T14:08:56.9284628Z  2025-09-09T14:08:56.9284764Z  2025-09-09T14:08:56.9285096Z ⠹ Preparing packages... (99/105) 2025-09-09T14:08:56.9285458Z lm-eval  ------------------------------ 2.11 MiB/7.18 MiB 2025-09-09T14:08:56.9285869Z pandas  ------------------------------ 11.43 MiB/11.79 MiB 2025-09-09T14:08:56.9286269Z cmake  ------------------------------ 18.18 MiB/26.51 MiB 2025-09-09T14:08:56.9286667Z scipy  ------------------------------ 19.16 MiB/36.82 MiB 2025-09-09T14:08:56.9287074Z pyarrow  ------------------------------ 20.84 MiB/40.77 MiB 2025-09-09T14:08:56.9287679Z bitsandbytes  ------------------------------ 21.27 MiB/58.45 MiB  2025-09-09T14:08:56.9288158Z  2025-09-09T14:08:56.9288301Z  2025-09-09T14:08:56.9288445Z  2025-09-09T14:08:56.9288581Z  2025-09-09T14:08:56.9288728Z  2025-09-09T14:08:56.9288866Z  2025-09-09T14:08:56.9289083Z ⠸ Preparing packages... (99/105) 2025-09-09T14:08:56.9289462Z lm-eval  ------------------------------ 2.14 MiB/7.18 MiB 2025-09-09T14:08:56.9289869Z cmake  ------------------------------ 18.74 MiB/26.51 MiB 2025-09-09T14:08:56.9290281Z scipy  ------------------------------ 19.22 MiB/36.82 MiB 2025-09-09T14:08:56.9290688Z pyarrow  ------------------------------ 21.41 MiB/40.77 MiB 2025-09-09T14:08:56.9291147Z bitsandbytes  ------------------------------ 21.85 MiB/58.45 MiB  2025-09-09T14:08:56.9291484Z  2025-09-09T14:08:56.9291632Z  2025-09-09T14:08:56.9291778Z  2025-09-09T14:08:56.9291915Z  2025-09-09T14:08:56.9292058Z  2025-09-09T14:08:56.9292266Z ⠸ Preparing packages... (99/105) 2025-09-09T14:08:56.9292640Z lm-eval  ------------------------------ 2.15 MiB/7.18 MiB 2025-09-09T14:08:56.9293044Z cmake  ------------------------------ 19.48 MiB/26.51 MiB 2025-09-09T14:08:56.9293453Z scipy  ------------------------------ 19.43 MiB/36.82 MiB 2025-09-09T14:08:56.9293861Z pyarrow  ------------------------------ 22.17 MiB/40.77 MiB 2025-09-09T14:08:56.9294308Z bitsandbytes  ------------------------------ 22.50 MiB/58.45 MiB  2025-09-09T14:08:56.9294632Z  2025-09-09T14:08:56.9294772Z  2025-09-09T14:08:56.9294916Z  2025-09-09T14:08:56.9295197Z  2025-09-09T14:08:56.9295343Z  2025-09-09T14:08:56.9295547Z ⠸ Preparing packages... (99/105) 2025-09-09T14:08:56.9295910Z lm-eval  ------------------------------ 2.17 MiB/7.18 MiB 2025-09-09T14:08:56.9296312Z cmake  ------------------------------ 20.82 MiB/26.51 MiB 2025-09-09T14:08:56.9296708Z scipy  ------------------------------ 21.25 MiB/36.82 MiB 2025-09-09T14:08:56.9297113Z pyarrow  ------------------------------ 23.49 MiB/40.77 MiB 2025-09-09T14:08:56.9297580Z bitsandbytes  ------------------------------ 23.90 MiB/58.45 MiB  2025-09-09T14:08:56.9297905Z  2025-09-09T14:08:56.9298044Z  2025-09-09T14:08:56.9298204Z  2025-09-09T14:08:56.9298342Z  2025-09-09T14:08:56.9298481Z  2025-09-09T14:08:56.9298707Z ⠸ Preparing packages... (99/105) 2025-09-09T14:08:56.9299070Z lm-eval  ------------------------------ 2.20 MiB/7.18 MiB 2025-09-09T14:08:56.9299488Z cmake  ------------------------------ 22.43 MiB/26.51 MiB 2025-09-09T14:08:56.9299890Z scipy  ------------------------------ 22.35 MiB/36.82 MiB 2025-09-09T14:08:56.9300295Z pyarrow  ------------------------------ 24.99 MiB/40.77 MiB 2025-09-09T14:08:56.9300753Z bitsandbytes  ------------------------------ 25.54 MiB/58.45 MiB  2025-09-09T14:08:56.9301075Z  2025-09-09T14:08:56.9301218Z  2025-09-09T14:08:56.9301355Z  2025-09-09T14:08:56.9301496Z  2025-09-09T14:08:56.9301632Z  2025-09-09T14:08:56.9301849Z ⠸ Preparing packages... (99/105) 2025-09-09T14:08:56.9302362Z lm-eval  ------------------------------ 2.22 MiB/7.18 MiB 2025-09-09T14:08:57.8844178Z cmake  ------------------------------ 24.00 MiB/26.51 MiB 2025-09-09T14:08:57.8844747Z scipy  ------------------------------ 24.28 MiB/36.82 MiB 2025-09-09T14:08:57.8845635Z pyarrow  ------------------------------ 26.57 MiB/40.77 MiB 2025-09-09T14:08:57.8846230Z bitsandbytes  ------------------------------ 27.02 MiB/58.45 MiB  2025-09-09T14:08:57.8846630Z  2025-09-09T14:08:57.8846817Z  2025-09-09T14:08:57.8846983Z  2025-09-09T14:08:57.8847158Z  2025-09-09T14:08:57.8847325Z  2025-09-09T14:08:57.8847626Z ⠼ Preparing packages... (100/105) 2025-09-09T14:08:57.8848106Z lm-eval  ------------------------------ 2.23 MiB/7.18 MiB 2025-09-09T14:08:57.8848649Z cmake  ------------------------------ 25.66 MiB/26.51 MiB 2025-09-09T14:08:57.8849124Z scipy  ------------------------------ 25.64 MiB/36.82 MiB 2025-09-09T14:08:57.8849586Z pyarrow  ------------------------------ 28.33 MiB/40.77 MiB 2025-09-09T14:08:57.8850115Z bitsandbytes  ------------------------------ 28.77 MiB/58.45 MiB  2025-09-09T14:08:57.8850498Z  2025-09-09T14:08:57.8850671Z  2025-09-09T14:08:57.8850843Z  2025-09-09T14:08:57.8851007Z  2025-09-09T14:08:57.8851172Z  2025-09-09T14:08:57.8851418Z ⠼ Preparing packages... (100/105) 2025-09-09T14:08:57.8851850Z lm-eval  ------------------------------ 2.25 MiB/7.18 MiB 2025-09-09T14:08:57.8852332Z cmake  ------------------------------ 26.51 MiB/26.51 MiB 2025-09-09T14:08:57.8852813Z scipy  ------------------------------ 28.25 MiB/36.82 MiB 2025-09-09T14:08:57.8853319Z pyarrow  ------------------------------ 29.74 MiB/40.77 MiB 2025-09-09T14:08:57.8853838Z bitsandbytes  ------------------------------ 30.07 MiB/58.45 MiB  2025-09-09T14:08:57.8854223Z  2025-09-09T14:08:57.8854382Z  2025-09-09T14:08:57.8854543Z  2025-09-09T14:08:57.8854700Z  2025-09-09T14:08:57.8854853Z  2025-09-09T14:08:57.8855233Z ⠼ Preparing packages... (100/105) 2025-09-09T14:08:57.8855647Z lm-eval  ------------------------------ 2.25 MiB/7.18 MiB 2025-09-09T14:08:57.8856122Z scipy  ------------------------------ 28.25 MiB/36.82 MiB 2025-09-09T14:08:57.8856591Z pyarrow  ------------------------------ 29.88 MiB/40.77 MiB 2025-09-09T14:08:57.8857117Z bitsandbytes  ------------------------------ 30.26 MiB/58.45 MiB  2025-09-09T14:08:57.8857494Z  2025-09-09T14:08:57.8857649Z  2025-09-09T14:08:57.8857813Z  2025-09-09T14:08:57.8857964Z  2025-09-09T14:08:57.8858188Z ⠼ Preparing packages... (100/105) 2025-09-09T14:08:57.8858558Z lm-eval  ------------------------------ 2.25 MiB/7.18 MiB 2025-09-09T14:08:57.8858968Z scipy  ------------------------------ 30.43 MiB/36.82 MiB 2025-09-09T14:08:57.8859381Z pyarrow  ------------------------------ 31.86 MiB/40.77 MiB 2025-09-09T14:08:57.8859840Z bitsandbytes  ------------------------------ 32.62 MiB/58.45 MiB  2025-09-09T14:08:57.8860164Z  2025-09-09T14:08:57.8860725Z  2025-09-09T14:08:57.8861059Z  2025-09-09T14:08:57.8861233Z  2025-09-09T14:08:57.8861456Z ⠼ Preparing packages... (100/105) 2025-09-09T14:08:57.8861849Z lm-eval  ------------------------------ 2.25 MiB/7.18 MiB 2025-09-09T14:08:57.8862256Z scipy  ------------------------------ 33.20 MiB/36.82 MiB 2025-09-09T14:08:57.8862678Z pyarrow  ------------------------------ 33.71 MiB/40.77 MiB 2025-09-09T14:08:57.8863140Z bitsandbytes  ------------------------------ 34.68 MiB/58.45 MiB  2025-09-09T14:08:57.8863471Z  2025-09-09T14:08:57.8863634Z  2025-09-09T14:08:57.8863774Z  2025-09-09T14:08:57.8863924Z  2025-09-09T14:08:57.8864146Z ⠴ Preparing packages... (101/105) 2025-09-09T14:08:57.8864518Z lm-eval  ------------------------------ 2.25 MiB/7.18 MiB 2025-09-09T14:08:57.8865066Z scipy  ------------------------------ 35.18 MiB/36.82 MiB 2025-09-09T14:08:57.8865522Z pyarrow  ------------------------------ 36.68 MiB/40.77 MiB 2025-09-09T14:08:57.8865995Z bitsandbytes  ------------------------------ 36.63 MiB/58.45 MiB  2025-09-09T14:08:57.8866322Z  2025-09-09T14:08:57.8866480Z  2025-09-09T14:08:57.8866619Z  2025-09-09T14:08:57.8866761Z  2025-09-09T14:08:57.8866975Z ⠴ Preparing packages... (101/105) 2025-09-09T14:08:57.8867351Z lm-eval  ------------------------------ 2.26 MiB/7.18 MiB 2025-09-09T14:08:57.8867764Z scipy  ------------------------------ 36.73 MiB/36.82 MiB 2025-09-09T14:08:57.8868178Z pyarrow  ------------------------------ 38.81 MiB/40.77 MiB 2025-09-09T14:08:57.8868645Z bitsandbytes  ------------------------------ 39.95 MiB/58.45 MiB  2025-09-09T14:08:57.8868962Z  2025-09-09T14:08:57.8869108Z  2025-09-09T14:08:57.8869244Z  2025-09-09T14:08:57.8869388Z  2025-09-09T14:08:57.8869603Z ⠴ Preparing packages... (101/105) 2025-09-09T14:08:57.8869977Z lm-eval  ------------------------------ 2.28 MiB/7.18 MiB 2025-09-09T14:08:57.8870392Z pyarrow  ------------------------------ 38.97 MiB/40.77 MiB 2025-09-09T14:08:57.8870852Z bitsandbytes  ------------------------------ 41.38 MiB/58.45 MiB  2025-09-09T14:08:57.8871188Z  2025-09-09T14:08:57.8871341Z  2025-09-09T14:08:57.8871486Z  2025-09-09T14:08:57.8871692Z ⠴ Preparing packages... (101/105) 2025-09-09T14:08:57.8872133Z lm-eval  ------------------------------ 2.31 MiB/7.18 MiB 2025-09-09T14:08:57.8872546Z pyarrow  ------------------------------ 39.22 MiB/40.77 MiB 2025-09-09T14:08:57.8873003Z bitsandbytes  ------------------------------ 44.57 MiB/58.45 MiB  2025-09-09T14:08:57.8873335Z  2025-09-09T14:08:57.8873474Z  2025-09-09T14:08:57.8873616Z  2025-09-09T14:08:57.8873835Z ⠴ Preparing packages... (101/105) 2025-09-09T14:08:57.8874196Z lm-eval  ------------------------------ 2.33 MiB/7.18 MiB 2025-09-09T14:08:57.8874612Z pyarrow  ------------------------------ 39.39 MiB/40.77 MiB 2025-09-09T14:08:57.8875193Z bitsandbytes  ------------------------------ 50.35 MiB/58.45 MiB  2025-09-09T14:08:57.8875516Z  2025-09-09T14:08:57.8875881Z  2025-09-09T14:08:57.8876168Z  2025-09-09T14:08:57.8876404Z ⠦ Preparing packages... (102/105) 2025-09-09T14:08:57.8876777Z lm-eval  ------------------------------ 2.36 MiB/7.18 MiB 2025-09-09T14:08:57.8877186Z pyarrow  ------------------------------ 39.59 MiB/40.77 MiB 2025-09-09T14:08:57.8877645Z bitsandbytes  ------------------------------ 56.32 MiB/58.45 MiB  2025-09-09T14:08:57.8877967Z  2025-09-09T14:08:57.8878114Z  2025-09-09T14:08:57.8878253Z  2025-09-09T14:08:57.8878478Z ⠦ Preparing packages... (102/105) 2025-09-09T14:08:57.8878844Z lm-eval  ------------------------------ 2.39 MiB/7.18 MiB 2025-09-09T14:08:57.8879267Z pyarrow  ------------------------------ 39.89 MiB/40.77 MiB  2025-09-09T14:08:57.8879576Z  2025-09-09T14:08:57.8879723Z  2025-09-09T14:08:57.8879928Z ⠦ Preparing packages... (102/105) 2025-09-09T14:08:57.8880294Z lm-eval  ------------------------------ 2.43 MiB/7.18 MiB 2025-09-09T14:08:57.8880733Z pyarrow  ------------------------------ 40.65 MiB/40.77 MiB  2025-09-09T14:08:57.8881030Z  2025-09-09T14:08:57.8881168Z  2025-09-09T14:08:57.8881376Z ⠦ Preparing packages... (102/105) 2025-09-09T14:08:57.8881749Z lm-eval  ------------------------------ 2.45 MiB/7.18 MiB  2025-09-09T14:08:57.8882044Z  2025-09-09T14:08:57.8882244Z ⠦ Preparing packages... (102/105) 2025-09-09T14:08:57.8882618Z lm-eval  ------------------------------ 2.62 MiB/7.18 MiB  2025-09-09T14:08:57.8882903Z  2025-09-09T14:08:57.8883120Z ⠦ Preparing packages... (102/105) 2025-09-09T14:08:57.8883494Z lm-eval  ------------------------------ 2.81 MiB/7.18 MiB  2025-09-09T14:08:57.8883796Z  2025-09-09T14:08:57.8884007Z ⠧ Preparing packages... (104/105) 2025-09-09T14:08:57.8884383Z lm-eval  ------------------------------ 3.11 MiB/7.18 MiB  2025-09-09T14:08:57.8884680Z  2025-09-09T14:08:57.8884890Z ⠧ Preparing packages... (104/105) 2025-09-09T14:08:57.8885413Z lm-eval  ------------------------------ 3.51 MiB/7.18 MiB  2025-09-09T14:08:57.8885720Z  2025-09-09T14:08:57.8885921Z ⠧ Preparing packages... (104/105) 2025-09-09T14:08:57.8886298Z lm-eval  ------------------------------ 4.01 MiB/7.18 MiB  2025-09-09T14:08:57.8886801Z  2025-09-09T14:08:57.8887135Z ⠧ Preparing packages... (104/105) 2025-09-09T14:08:57.8887514Z lm-eval  ------------------------------ 4.36 MiB/7.18 MiB  2025-09-09T14:08:57.8887821Z  2025-09-09T14:08:57.8888044Z ⠇ Preparing packages... (104/105) 2025-09-09T14:08:57.8888414Z lm-eval  ------------------------------ 5.03 MiB/7.18 MiB  2025-09-09T14:08:57.8888709Z  2025-09-09T14:08:57.8888911Z ⠇ Preparing packages... (104/105) 2025-09-09T14:08:57.8889299Z lm-eval  ------------------------------ 5.26 MiB/7.18 MiB  2025-09-09T14:08:57.8889590Z  2025-09-09T14:08:57.8889908Z ⠇ Preparing packages... (104/105) 2025-09-09T14:08:57.8890350Z ⠇  (105/105) 2025-09-09T14:08:58.8709742Z Prepared 105 packages in 3.35s 2025-09-09T14:08:58.8710234Z Uninstalled 1 package in 3ms 2025-09-09T14:08:58.8710769Z ░░░░░░░░░░░░░░░░░░░░ [0/0] Installing wheels...  2025-09-09T14:08:58.8711363Z ░░░░░░░░░░░░░░░░░░░░ [0/105] Installing wheels...  2025-09-09T14:08:58.8711898Z ░░░░░░░░░░░░░░░░░░░░ [0/105] multidict==6.6.4  2025-09-09T14:08:58.8712514Z ░░░░░░░░░░░░░░░░░░░░ [1/105] multidict==6.6.4  2025-09-09T14:08:58.8713043Z ░░░░░░░░░░░░░░░░░░░░ [1/105] python-dateutil==2.9.0.post0  2025-09-09T14:08:58.8713583Z ░░░░░░░░░░░░░░░░░░░░ [2/105] python-dateutil==2.9.0.post0  2025-09-09T14:08:58.8714141Z ░░░░░░░░░░░░░░░░░░░░ [2/105] fsspec==2025.3.0  2025-09-09T14:08:58.8714648Z ░░░░░░░░░░░░░░░░░░░░ [3/105] fsspec==2025.3.0  2025-09-09T14:08:58.8715538Z ░░░░░░░░░░░░░░░░░░░░ [3/105] xxhash==3.5.0  2025-09-09T14:08:58.8716024Z ░░░░░░░░░░░░░░░░░░░░ [4/105] xxhash==3.5.0  2025-09-09T14:08:58.8716518Z ░░░░░░░░░░░░░░░░░░░░ [4/105] idna==3.10  2025-09-09T14:08:58.8716986Z ░░░░░░░░░░░░░░░░░░░░ [5/105] idna==3.10  2025-09-09T14:08:58.8717473Z ░░░░░░░░░░░░░░░░░░░░ [5/105] pyyaml==6.0.2  2025-09-09T14:08:58.8718079Z █░░░░░░░░░░░░░░░░░░░ [6/105] pyyaml==6.0.2  2025-09-09T14:08:58.8718561Z █░░░░░░░░░░░░░░░░░░░ [6/105] propcache==0.3.2  2025-09-09T14:08:58.8719086Z █░░░░░░░░░░░░░░░░░░░ [7/105] propcache==0.3.2  2025-09-09T14:08:58.8719575Z █░░░░░░░░░░░░░░░░░░░ [7/105] click==8.1.8  2025-09-09T14:08:58.8720051Z █░░░░░░░░░░░░░░░░░░░ [8/105] click==8.1.8  2025-09-09T14:08:58.8720539Z █░░░░░░░░░░░░░░░░░░░ [8/105] frozenlist==1.7.0  2025-09-09T14:08:58.8721034Z █░░░░░░░░░░░░░░░░░░░ [9/105] frozenlist==1.7.0  2025-09-09T14:08:58.8721522Z █░░░░░░░░░░░░░░░░░░░ [9/105] joblib==1.5.2  2025-09-09T14:08:58.8722005Z ███░░░░░░░░░░░░░░░░░ [18/105] evaluate==0.4.5  2025-09-09T14:08:58.8722493Z ████░░░░░░░░░░░░░░░░ [22/105] psutil==7.0.0  2025-09-09T14:08:58.8723304Z ████░░░░░░░░░░░░░░░░ [23/105] psutil==7.0.0  2025-09-09T14:08:58.8724014Z ████░░░░░░░░░░░░░░░░ [23/105] aiohappyeyeballs==2.6.1  2025-09-09T14:08:58.8724531Z ████░░░░░░░░░░░░░░░░ [24/105] aiohappyeyeballs==2.6.1  2025-09-09T14:08:58.8725174Z ████░░░░░░░░░░░░░░░░ [24/105] multiprocess==0.70.16  2025-09-09T14:08:58.8725677Z ██████░░░░░░░░░░░░░░ [33/105] tomli==2.2.1  2025-09-09T14:08:58.8726177Z ███████░░░░░░░░░░░░░ [41/105] kiwisolver==1.4.7  2025-09-09T14:08:58.8726704Z ███████████░░░░░░░░░ [60/105] jsonlines==4.0.0  2025-09-09T14:08:58.8727218Z ███████████░░░░░░░░░ [61/105] jsonlines==4.0.0  2025-09-09T14:08:58.8727727Z ███████████░░░░░░░░░ [61/105] aiosignal==1.4.0  2025-09-09T14:08:58.8728239Z ███████████░░░░░░░░░ [62/105] aiosignal==1.4.0  2025-09-09T14:08:58.8728670Z ████████████░░░░░░░░ [65/105] tokenizers==0.22.0  2025-09-09T14:08:58.8729084Z ████████████░░░░░░░░ [66/105] matplotlib==3.9.4  2025-09-09T14:08:58.8729488Z ████████████████░░░░ [85/105] colorama==0.4.6  2025-09-09T14:08:58.8729890Z ███████████████████░ [103/105] cmake==3.31.6  2025-09-09T14:08:58.8730286Z ███████████████████░ [104/105] lm-eval==0.4.9.1  2025-09-09T14:08:58.8730686Z ████████████████████ [105/105] lm-eval==0.4.9.1  2025-09-09T14:08:58.8731047Z Installed 105 packages in 978ms 2025-09-09T14:08:58.8731362Z + absl-py==2.3.1 2025-09-09T14:08:58.8731663Z + accelerate==1.10.1 2025-09-09T14:08:58.8731952Z + aiohappyeyeballs==2.6.1 2025-09-09T14:08:58.8732236Z + aiohttp==3.12.15 2025-09-09T14:08:58.8732487Z + aiosignal==1.4.0 2025-09-09T14:08:58.8732753Z + async-timeout==5.0.1 2025-09-09T14:08:58.8733013Z + attrs==25.3.0 2025-09-09T14:08:58.8733272Z + bitsandbytes==0.47.0 2025-09-09T14:08:58.8733533Z + blobfile==3.1.0 2025-09-09T14:08:58.8733797Z + certifi==2025.8.3 2025-09-09T14:08:58.8734041Z + cfgv==3.4.0 2025-09-09T14:08:58.8734287Z + chardet==5.2.0 2025-09-09T14:08:58.8734569Z + charset-normalizer==3.4.3 2025-09-09T14:08:58.8734847Z + click==8.1.8 2025-09-09T14:08:58.8735580Z + cmake==3.31.6 2025-09-09T14:08:58.8735838Z + colorama==0.4.6 2025-09-09T14:08:58.8736105Z + contourpy==1.3.0 2025-09-09T14:08:58.8736355Z + cycler==0.12.1 2025-09-09T14:08:58.8736616Z + dataproperty==1.1.0 2025-09-09T14:08:58.8736872Z + datasets==3.6.0 2025-09-09T14:08:58.8737116Z + dill==0.3.8 2025-09-09T14:08:58.8737361Z + diskcache==5.6.3 2025-09-09T14:08:58.8737602Z + distlib==0.4.0 2025-09-09T14:08:58.8737847Z + evaluate==0.4.5 2025-09-09T14:08:58.8738117Z + exceptiongroup==1.3.0 2025-09-09T14:08:58.8738391Z + expecttest==0.3.0 2025-09-09T14:08:58.8738631Z + fire==0.7.1 2025-09-09T14:08:58.8738884Z + fonttools==4.59.2 2025-09-09T14:08:58.8739154Z + frozenlist==1.7.0 2025-09-09T14:08:58.8739409Z - fsspec==2025.7.0 2025-09-09T14:08:58.8739661Z + fsspec==2025.3.0 2025-09-09T14:08:58.8739905Z + hf-xet==1.1.9 2025-09-09T14:08:58.8740174Z + huggingface-hub==0.34.4 2025-09-09T14:08:58.8740452Z + hypothesis==6.138.15 2025-09-09T14:08:58.8740714Z + identify==2.6.14 2025-09-09T14:08:58.8740948Z + idna==3.10 2025-09-09T14:08:58.8741223Z + importlib-resources==6.5.2 2025-09-09T14:08:58.8741498Z + iniconfig==2.1.0 2025-09-09T14:08:58.8741755Z + joblib==1.5.2 2025-09-09T14:08:58.8742003Z + jsonlines==4.0.0 2025-09-09T14:08:58.8742247Z + kiwisolver==1.4.7 2025-09-09T14:08:58.8742516Z + lm-eval==0.4.9.1 2025-09-09T14:08:58.8742750Z + lxml==6.0.1 2025-09-09T14:08:58.8742997Z + matplotlib==3.9.4 2025-09-09T14:08:58.8743266Z + mbstrdecoder==1.1.4 2025-09-09T14:08:58.8743545Z + more-itertools==10.8.0 2025-09-09T14:08:58.8743806Z + multidict==6.6.4 2025-09-09T14:08:58.8744068Z + multiprocess==0.70.16 2025-09-09T14:08:58.8744335Z + ninja==1.13.0 2025-09-09T14:08:58.8744564Z + nltk==3.9.1 2025-09-09T14:08:58.8744806Z + nodeenv==1.9.1 2025-09-09T14:08:58.8745201Z + numexpr==2.10.2 2025-09-09T14:08:58.8745452Z + packaging==25.0 2025-09-09T14:08:58.8745716Z + pandas==2.3.2 2025-09-09T14:08:58.8745977Z + parameterized==0.9.0 2025-09-09T14:08:58.8746268Z + pathvalidate==3.3.1 2025-09-09T14:08:58.8746527Z + peft==0.17.1 2025-09-09T14:08:58.8746776Z + platformdirs==4.4.0 2025-09-09T14:08:58.8747041Z + pluggy==1.6.0 2025-09-09T14:08:58.8747290Z + portalocker==3.2.0 2025-09-09T14:08:58.8747551Z + pre-commit==4.3.0 2025-09-09T14:12:54.1645859Z + propcache==0.3.2 2025-09-09T14:12:54.1646243Z + psutil==7.0.0 2025-09-09T14:12:54.1646575Z + pyarrow==21.0.0 2025-09-09T14:12:54.1646893Z + pybind11==3.0.1 2025-09-09T14:12:54.1647210Z + pycocotools==2.0.10 2025-09-09T14:12:54.1647546Z + pycryptodomex==3.23.0 2025-09-09T14:12:54.1647878Z + pygments==2.19.2 2025-09-09T14:12:54.1648207Z + pyparsing==3.2.3 2025-09-09T14:12:54.1649150Z + pytablewriter==1.2.1 2025-09-09T14:12:54.1649474Z + pytest==8.4.2 2025-09-09T14:12:54.1649818Z + python-dateutil==2.9.0.post0 2025-09-09T14:12:54.1650166Z + pytz==2025.2 2025-09-09T14:12:54.1650476Z + pyyaml==6.0.2 2025-09-09T14:12:54.1650775Z + regex==2025.9.1 2025-09-09T14:12:54.1651080Z + requests==2.32.5 2025-09-09T14:12:54.1651389Z + rouge-score==0.1.2 2025-09-09T14:12:54.1651699Z + ruff==0.11.6 2025-09-09T14:12:54.1652001Z + sacrebleu==2.5.1 2025-09-09T14:12:54.1652305Z + safetensors==0.6.2 2025-09-09T14:12:54.1652640Z + scikit-learn==1.6.1 2025-09-09T14:12:54.1652949Z + scipy==1.13.1 2025-09-09T14:12:54.1653276Z + sentencepiece==0.2.1 2025-09-09T14:12:54.1653580Z + six==1.17.0 2025-09-09T14:12:54.1653898Z + sortedcontainers==2.4.0 2025-09-09T14:12:54.1654222Z + sqlitedict==2.1.0 2025-09-09T14:12:54.1654529Z + tabledata==1.3.4 2025-09-09T14:12:54.1654829Z + tabulate==0.9.0 2025-09-09T14:12:54.1655282Z + tcolorpy==0.1.7 2025-09-09T14:12:54.1655587Z + termcolor==3.1.0 2025-09-09T14:12:54.1655897Z + threadpoolctl==3.6.0 2025-09-09T14:12:54.1656215Z + tiktoken==0.11.0 2025-09-09T14:12:54.1656515Z + tokenizers==0.22.0 2025-09-09T14:12:54.1656813Z + tomli==2.2.1 2025-09-09T14:12:54.1657094Z + tqdm==4.67.1 2025-09-09T14:12:54.1657416Z + tqdm-multiprocess==0.0.11 2025-09-09T14:12:54.1657765Z + transformers==4.56.1 2025-09-09T14:12:54.1658071Z + typepy==1.3.4 2025-09-09T14:12:54.1658367Z + tzdata==2025.2 2025-09-09T14:12:54.1658706Z + unittest-xml-reporting==3.2.0 2025-09-09T14:12:54.1659051Z + urllib3==2.5.0 2025-09-09T14:12:54.1659355Z + virtualenv==20.34.0 2025-09-09T14:12:54.1659684Z + word2number==1.1 2025-09-09T14:12:54.1659978Z + xxhash==3.5.0 2025-09-09T14:12:54.1660269Z + yarl==1.20.1 2025-09-09T14:12:54.1660569Z + zstandard==0.24.0 2025-09-09T14:12:54.1660822Z + pip install . 2025-09-09T14:12:54.1661044Z Processing /pytorch/ao 2025-09-09T14:12:54.1661343Z Preparing metadata (setup.py) ... [?25l- done 2025-09-09T14:12:54.1661721Z [?25hBuilding wheels for collected packages: torchao 2025-09-09T14:12:54.1663740Z  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 2025-09-09T14:12:54.1665748Z  Building wheel for torchao (setup.py) ... [?25l- \ | / - \ | / - \ | / - done 2025-09-09T14:12:54.1666611Z [?25h Created wheel for torchao: filename=torchao-0.14.0+git7c05f81-cp39-abi3-linux_x86_64.whl size=6503500 sha256=49ff55c9471aed0cddf2660affb3a30e37b4ca55e653084fa743a1daa38d48fe 2025-09-09T14:12:54.1667473Z Stored in directory: /tmp/pip-ephem-wheel-cache-o53_8q0g/wheels/4d/54/dc/0c70e60a8677bf126f1486798ebe76c8770ada66c7376b401d 2025-09-09T14:12:54.1668371Z Successfully built torchao 2025-09-09T14:12:54.1668610Z Installing collected packages: torchao 2025-09-09T14:12:54.1668878Z Successfully installed torchao-0.14.0+git7c05f81 2025-09-09T14:12:54.1670225Z 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. 2025-09-09T14:12:54.1671389Z + pytest test/integration --verbose -s 2025-09-09T14:12:54.1671718Z ============================= test session starts ============================== 2025-09-09T14:12:54.1672213Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3 2025-09-09T14:12:54.1672573Z cachedir: .pytest_cache 2025-09-09T14:12:54.1673013Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,) 2025-09-09T14:12:54.1673504Z rootdir: /pytorch/ao 2025-09-09T14:12:54.1673691Z plugins: hypothesis-6.138.15 2025-09-09T14:12:54.1674078Z collecting ... TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:12:54.1674427Z  2025-09-09T14:12:54.1674681Z collecting 9 items  2025-09-09T14:12:54.1675211Z collecting 358 items  2025-09-09T14:12:54.1675617Z collected 363 items / 1 skipped  2025-09-09T14:12:54.1675853Z 2025-09-09T14:12:54.1677666Z test/integration/test_integration.py::SmoothquantUnitTest::test_debug_x_absmax PASSED 2025-09-09T14:12:54.1678284Z test/integration/test_integration.py::SmoothquantUnitTest::test_figure_4 PASSED 2025-09-09T14:12:54.1678901Z test/integration/test_integration.py::SmoothquantUnitTest::test_selective_torch_compile PASSED 2025-09-09T14:12:54.1679933Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_cpu [W909 14:12:38.586723820 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()) 2025-09-09T14:12:54.1680808Z PASSED 2025-09-09T14:12:54.1681209Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_cuda PASSED 2025-09-09T14:12:54.1681851Z test/integration/test_integration.py::SmoothquantUnitTest::test_smooth_linear_edge_cases PASSED 2025-09-09T14:12:54.1682455Z test/integration/test_integration.py::SmoothquantUnitTest::test_swap PASSED 2025-09-09T14:12:54.1683000Z test/integration/test_integration.py::SmoothquantUnitTest::test_tensors PASSED 2025-09-09T14:12:54.1683587Z test/integration/test_integration.py::SmoothquantUnitTest::test_weight_t_and_non_t_numerics_match Autotune Choices Stats: 2025-09-09T14:12:54.1684611Z {"num_choices": 5, "num_triton_choices": 4, "best_kernel": "triton_mm_0", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.005888000130653381, "best_triton_pos": 0} 2025-09-09T14:12:54.1685535Z AUTOTUNE int_mm(32x32, 32x16) 2025-09-09T14:12:54.1685727Z strides: [32, 1], [1, 32] 2025-09-09T14:12:54.1685914Z dtypes: torch.int8, torch.int8 2025-09-09T14:12:54.1686399Z triton_mm_0 0.0059 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:12:54.1687174Z triton_mm_1 0.0059 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-09T14:12:54.1688239Z triton_mm_2 0.0059 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-09T14:12:54.1688982Z triton_mm_3 0.0062 ms 95.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:12:54.1689479Z _int_mm 0.0073 ms 81.1% 2025-09-09T14:12:54.1689848Z SingleProcess AUTOTUNE benchmarking takes 0.0565 seconds and 1.0875 seconds precompiling for 5 choices 2025-09-09T14:12:54.1690263Z PASSED 2025-09-09T14:12:54.1690624Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test__int_mm Autotune Choices Stats: 2025-09-09T14:12:54.1691578Z {"num_choices": 5, "num_triton_choices": 4, "best_kernel": "triton_mm_5", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2", "best_time": 0.005632000043988228, "best_triton_pos": 0} 2025-09-09T14:12:54.1692336Z AUTOTUNE int_mm(32x32, 32x16) 2025-09-09T14:12:54.1692528Z strides: [32, 1], [16, 1] 2025-09-09T14:12:54.1692719Z dtypes: torch.int8, torch.int8 2025-09-09T14:12:54.1693204Z triton_mm_5 0.0056 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=2 2025-09-09T14:12:54.1693958Z triton_mm_4 0.0058 ms 97.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:12:54.1694711Z triton_mm_6 0.0058 ms 97.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=2 2025-09-09T14:12:54.1695575Z triton_mm_7 0.0059 ms 95.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:12:54.1696051Z _int_mm 0.0087 ms 64.7% 2025-09-09T14:12:54.1696416Z SingleProcess AUTOTUNE benchmarking takes 0.1845 seconds and 0.5166 seconds precompiling for 5 choices 2025-09-09T14:12:54.1696819Z PASSED 2025-09-09T14:13:07.1053276Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test__int_mm_eager_and_torch_compile_numerics Autotune Choices Stats: 2025-09-09T14:13:07.1056642Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "_int_mm", "best_time": 0.0551999993622303, "best_triton_pos": 1, "best_triton_time": 0.07283200323581696, "best_triton_kernel": "triton_mm_17", "best_triton_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-09T14:13:07.1058632Z AUTOTUNE int_mm(17x1536, 1536x1536) 2025-09-09T14:13:07.1058858Z strides: [s15, 1], [s21, 1] 2025-09-09T14:13:07.1059089Z dtypes: torch.int8, torch.int8 2025-09-09T14:13:07.1059350Z _int_mm 0.0552 ms 100.0% 2025-09-09T14:13:07.1059895Z triton_mm_17 0.0728 ms 75.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:07.1060789Z triton_mm_20 0.0742 ms 74.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:13:07.1061678Z triton_mm_18 0.0908 ms 60.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:13:07.1062567Z triton_mm_16 0.0910 ms 60.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:13:07.1063912Z triton_mm_14 0.1085 ms 50.9% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:07.1065155Z triton_mm_12 0.1086 ms 50.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:07.1066056Z triton_mm_22 0.1179 ms 46.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:13:07.1066948Z triton_mm_19 0.1473 ms 37.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:13:07.1067843Z triton_mm_13 0.1497 ms 36.9% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:07.1068640Z SingleProcess AUTOTUNE benchmarking takes 0.6222 seconds and 1.2640 seconds precompiling for 12 choices 2025-09-09T14:13:07.1069042Z Autotune Choices Stats: 2025-09-09T14:13:07.1069999Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "_int_mm", "best_time": 0.16064000129699707, "best_triton_pos": 1, "best_triton_time": 0.1985280066728592, "best_triton_kernel": "triton_mm_28", "best_triton_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8"} 2025-09-09T14:13:07.1070956Z AUTOTUNE int_mm(136x4096, 4096x1536) 2025-09-09T14:13:07.1071158Z strides: [s15, 1], [s21, 1] 2025-09-09T14:13:07.1071360Z dtypes: torch.int8, torch.int8 2025-09-09T14:13:07.1071545Z _int_mm 0.1606 ms 100.0% 2025-09-09T14:13:07.1072107Z triton_mm_28 0.1985 ms 80.9% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:13:07.1072872Z triton_mm_31 0.1999 ms 80.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:13:07.1073628Z triton_mm_29 0.2360 ms 68.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:13:07.1074384Z triton_mm_23 0.2549 ms 63.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:07.1075273Z triton_mm_25 0.2644 ms 60.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:07.1076050Z triton_mm_27 0.2677 ms 60.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:13:07.1076828Z triton_mm_26 0.3906 ms 41.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:13:07.1077604Z triton_mm_30 0.4112 ms 39.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=128, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:13:07.1078362Z triton_mm_24 0.4115 ms 39.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:07.1079046Z SingleProcess AUTOTUNE benchmarking takes 0.9127 seconds and 2.0810 seconds precompiling for 12 choices 2025-09-09T14:13:07.1079644Z PASSED 2025-09-09T14:13:07.1080196Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_dynamic_quant_per_channel_numerics_cpu PASSED 2025-09-09T14:13:07.1081031Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_dynamic_quant_per_channel_numerics_cuda SKIPPED 2025-09-09T14:13:07.1082077Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_per_token_linear_cpu PASSED 2025-09-09T14:13:07.1082812Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_per_token_linear_cuda PASSED 2025-09-09T14:13:07.1083524Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_quantize_per_token_cpu PASSED 2025-09-09T14:13:07.1084232Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_quantize_per_token_cuda PASSED 2025-09-09T14:13:07.1085075Z test/integration/test_integration.py::PythonQuantUtilOpUnitTest::test_quantize_per_token_xpu SKIPPED 2025-09-09T14:13:07.1085852Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_0_cpu SKIPPED 2025-09-09T14:13:07.1086639Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_1_cpu SKIPPED 2025-09-09T14:13:07.1087432Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_2_cpu SKIPPED 2025-09-09T14:13:07.1088228Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_3_cuda SKIPPED 2025-09-09T14:13:07.1089009Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_4_cuda SKIPPED 2025-09-09T14:13:07.1089786Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_rowwise_scaling_subclass_5_cuda SKIPPED 2025-09-09T14:13:07.1090583Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_0_cpu SKIPPED 2025-09-09T14:13:07.1091382Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_1_cpu SKIPPED 2025-09-09T14:13:07.1092171Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_2_cpu SKIPPED 2025-09-09T14:13:07.1092981Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_3_cuda SKIPPED 2025-09-09T14:13:07.1093782Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_4_cuda SKIPPED 2025-09-09T14:13:07.1094580Z test/integration/test_integration.py::TestSubclass::test_aq_float8_dynamic_quant_tensorwise_scaling_subclass_5_cuda SKIPPED 2025-09-09T14:13:07.1095472Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:13:07.1096183Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:13:07.1096893Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:13:07.1097568Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_3_cuda Autotune Choices Stats: 2025-09-09T14:13:07.1098589Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_35", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.00825599953532219, "best_triton_pos": 0} 2025-09-09T14:13:07.1099372Z AUTOTUNE addmm(32x32, 32x64, 64x32) 2025-09-09T14:13:07.1099576Z strides: [0, 1], [64, 1], [1, 64] 2025-09-09T14:13:07.1099825Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:13:07.1100367Z triton_mm_35 0.0083 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1468743Z triton_mm_43 0.0083 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:12.1469979Z triton_mm_40 0.0083 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1470895Z triton_mm_37 0.0084 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:12.1471783Z triton_mm_42 0.0086 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:12.1472750Z triton_mm_41 0.0086 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1473633Z triton_mm_36 0.0087 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:12.1474506Z triton_mm_39 0.0088 ms 94.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1475803Z triton_mm_38 0.0099 ms 83.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1476686Z triton_mm_34 0.0102 ms 80.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:13:12.1477454Z SingleProcess AUTOTUNE benchmarking takes 0.5819 seconds and 0.4643 seconds precompiling for 12 choices 2025-09-09T14:13:12.1478117Z PASSED 2025-09-09T14:13:12.1478628Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_4_cuda Autotune Choices Stats: 2025-09-09T14:13:12.1479828Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_51", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006207999773323536, "best_triton_pos": 0} 2025-09-09T14:13:12.1480673Z AUTOTUNE addmm(32x32, 32x64, 64x32) 2025-09-09T14:13:12.1480877Z strides: [0, 1], [64, 1], [1, 64] 2025-09-09T14:13:12.1481111Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:13:12.1481644Z triton_mm_51 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1482427Z triton_mm_52 0.0063 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:12.1483182Z triton_mm_53 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:12.1483925Z triton_mm_50 0.0063 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1484685Z triton_mm_46 0.0065 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:12.1485574Z triton_mm_45 0.0065 ms 95.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1486314Z triton_mm_47 0.0066 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:12.1487105Z bias_addmm 0.0071 ms 87.8% 2025-09-09T14:13:12.1487599Z triton_mm_49 0.0071 ms 87.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1488365Z triton_mm_48 0.0071 ms 87.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1489041Z SingleProcess AUTOTUNE benchmarking takes 0.3039 seconds and 0.2578 seconds precompiling for 12 choices 2025-09-09T14:13:12.1489456Z PASSED 2025-09-09T14:13:12.1489962Z test/integration/test_integration.py::TestSubclass::test_aq_float8_weight_only_quant_subclass_5_cuda Autotune Choices Stats: 2025-09-09T14:13:12.1490973Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_62", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.006335999816656113, "best_triton_pos": 0} 2025-09-09T14:13:12.1491737Z AUTOTUNE addmm(32x32, 32x64, 64x32) 2025-09-09T14:13:12.1491948Z strides: [0, 1], [64, 1], [1, 64] 2025-09-09T14:13:12.1492189Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:13:12.1492730Z triton_mm_62 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:12.1493488Z triton_mm_61 0.0064 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1494227Z triton_mm_63 0.0064 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:12.1495116Z triton_mm_56 0.0065 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:12.1495878Z triton_mm_60 0.0065 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1496618Z triton_mm_59 0.0066 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1497375Z triton_mm_55 0.0067 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1498148Z triton_mm_57 0.0068 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:12.1498633Z bias_addmm 0.0072 ms 88.0% 2025-09-09T14:13:12.1499105Z triton_mm_58 0.0074 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1499789Z SingleProcess AUTOTUNE benchmarking takes 0.3518 seconds and 0.2602 seconds precompiling for 12 choices 2025-09-09T14:13:12.1500211Z PASSED 2025-09-09T14:13:12.1500665Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_0_cpu SKIPPED 2025-09-09T14:13:12.1501365Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_1_cpu SKIPPED 2025-09-09T14:13:12.1502021Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_2_cpu SKIPPED 2025-09-09T14:13:12.1502653Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_3_cuda Autotune Choices Stats: 2025-09-09T14:13:12.1503795Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_65", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.005696000065654516, "best_triton_pos": 0} 2025-09-09T14:13:12.1504697Z AUTOTUNE int_mm(32x64, 64x32) 2025-09-09T14:13:12.1504890Z strides: [64, 1], [1, 64] 2025-09-09T14:13:12.1505201Z dtypes: torch.int8, torch.int8 2025-09-09T14:13:12.1505696Z triton_mm_65 0.0057 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1506452Z triton_mm_66 0.0058 ms 97.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:12.1507193Z triton_mm_68 0.0059 ms 97.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:12.1507927Z triton_mm_67 0.0060 ms 94.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:12.1508659Z triton_mm_64 0.0061 ms 93.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:12.1509128Z _int_mm 0.0070 ms 81.7% 2025-09-09T14:13:59.2045414Z SingleProcess AUTOTUNE benchmarking takes 0.1375 seconds and 0.2093 seconds precompiling for 6 choices 2025-09-09T14:13:59.2046164Z PASSED 2025-09-09T14:13:59.2046734Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_4_cuda PASSED 2025-09-09T14:13:59.2047573Z test/integration/test_integration.py::TestSubclass::test_aq_int8_dynamic_quant_subclass_5_cuda PASSED 2025-09-09T14:13:59.2048489Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_0_cpu SKIPPED 2025-09-09T14:13:59.2049392Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_1_cpu SKIPPED 2025-09-09T14:13:59.2050314Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_2_cpu SKIPPED 2025-09-09T14:13:59.2051220Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_3_cuda PASSED 2025-09-09T14:13:59.2052116Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_4_cuda PASSED 2025-09-09T14:13:59.2053022Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_2_subclass_5_cuda PASSED 2025-09-09T14:13:59.2053935Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_0_cpu SKIPPED 2025-09-09T14:13:59.2054751Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_1_cpu SKIPPED 2025-09-09T14:13:59.2055724Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_2_cpu SKIPPED 2025-09-09T14:13:59.2056493Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_3_cuda Autotune Choices Stats: 2025-09-09T14:13:59.2057671Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_88", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.006399999838322401, "best_triton_pos": 0} 2025-09-09T14:13:59.2058590Z AUTOTUNE addmm(32x32, 32x64, 64x32) 2025-09-09T14:13:59.2058822Z strides: [0, 1], [64, 1], [32, 1] 2025-09-09T14:13:59.2059075Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:13:59.2060044Z triton_mm_88 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:59.2061195Z triton_mm_85 0.0064 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:59.2062082Z triton_mm_82 0.0065 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:59.2062961Z triton_mm_80 0.0066 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:59.2063836Z triton_mm_86 0.0066 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:59.2064642Z triton_mm_87 0.0069 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:59.2065586Z triton_mm_81 0.0071 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:59.2066340Z triton_mm_84 0.0075 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:59.2067100Z triton_mm_83 0.0082 ms 78.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:59.2067868Z triton_mm_79 0.0086 ms 74.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:13:59.2068538Z SingleProcess AUTOTUNE benchmarking takes 0.2848 seconds and 0.3527 seconds precompiling for 12 choices 2025-09-09T14:13:59.2068971Z PASSED 2025-09-09T14:13:59.2069391Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_4_cuda Autotune Choices Stats: 2025-09-09T14:13:59.2070405Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_90", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006207999773323536, "best_triton_pos": 0} 2025-09-09T14:13:59.2071193Z AUTOTUNE addmm(32x32, 32x64, 64x32) 2025-09-09T14:13:59.2071397Z strides: [0, 1], [64, 1], [32, 1] 2025-09-09T14:13:59.2071630Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:13:59.2072265Z triton_mm_90 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:59.2073069Z triton_mm_96 0.0062 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:59.2073830Z triton_mm_91 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:59.2074584Z triton_mm_95 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:59.2075458Z triton_mm_94 0.0063 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:59.2076405Z triton_mm_92 0.0064 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:59.2077331Z triton_mm_97 0.0064 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:59.2078106Z triton_mm_98 0.0064 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:59.2078602Z bias_addmm 0.0071 ms 87.8% 2025-09-09T14:13:59.2079067Z triton_mm_93 0.0075 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:13:59.2079747Z SingleProcess AUTOTUNE benchmarking takes 0.2661 seconds and 0.2609 seconds precompiling for 12 choices 2025-09-09T14:13:59.2080160Z PASSED 2025-09-09T14:13:59.2080580Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_3_subclass_5_cuda Autotune Choices Stats: 2025-09-09T14:13:59.2081607Z {"num_choices": 12, "num_triton_choices": 10, "best_kernel": "triton_mm_106", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006175999995321035, "best_triton_pos": 0} 2025-09-09T14:13:59.2082387Z AUTOTUNE addmm(32x32, 32x64, 64x32) 2025-09-09T14:13:59.2082599Z strides: [0, 1], [64, 1], [32, 1] 2025-09-09T14:13:59.2082839Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:13:59.2083406Z triton_mm_106 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:59.2084192Z triton_mm_108 0.0062 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:59.2085087Z triton_mm_101 0.0062 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:59.2085858Z triton_mm_107 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:13:59.2086631Z triton_mm_102 0.0063 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:13:59.2087390Z triton_mm_105 0.0063 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:13:59.2088155Z triton_mm_100 0.0064 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:14:11.2079227Z triton_mm_104 0.0068 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:14:11.2079910Z bias_addmm 0.0071 ms 87.3% 2025-09-09T14:14:11.2080498Z triton_mm_99 0.0076 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:14:11.2081340Z SingleProcess AUTOTUNE benchmarking takes 0.2006 seconds and 0.2528 seconds precompiling for 12 choices 2025-09-09T14:14:11.2082026Z PASSED 2025-09-09T14:14:11.2082611Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:14:11.2083480Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:14:11.2084723Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:14:11.2086325Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_3_cuda SKIPPED 2025-09-09T14:14:11.2087190Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_4_cuda SKIPPED 2025-09-09T14:14:11.2088004Z test/integration/test_integration.py::TestSubclass::test_aq_int8_weight_only_quant_subclass_5_cuda SKIPPED 2025-09-09T14:14:11.2088803Z test/integration/test_integration.py::TestSubclass::test_autoquantizable_flatten_unflatten PASSED 2025-09-09T14:14:11.2089626Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:14:11.2090488Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:14:11.2091351Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:14:11.2092209Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_3_cuda SKIPPED 2025-09-09T14:14:11.2093073Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_4_cuda SKIPPED 2025-09-09T14:14:11.2093925Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_5_cuda PASSED 2025-09-09T14:14:11.2094815Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_0_cpu SKIPPED 2025-09-09T14:14:11.2095890Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_1_cpu SKIPPED 2025-09-09T14:14:11.2096828Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_2_cpu SKIPPED 2025-09-09T14:14:11.2097664Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_3_cuda SKIPPED 2025-09-09T14:14:11.2098482Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_4_cuda SKIPPED 2025-09-09T14:14:11.2099278Z test/integration/test_integration.py::TestSubclass::test_dequantize_int4_weight_only_quant_subclass_grouped_5_cuda PASSED 2025-09-09T14:14:11.2100037Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_0_cpu PASSED 2025-09-09T14:14:11.2100752Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_1_cpu PASSED 2025-09-09T14:14:11.2101462Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_2_cpu PASSED 2025-09-09T14:14:11.2102176Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_3_cuda PASSED 2025-09-09T14:14:11.2102917Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_4_cuda PASSED 2025-09-09T14:14:11.2103638Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_dynamic_quant_subclass_5_cuda PASSED 2025-09-09T14:14:11.2104369Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_0_cpu PASSED 2025-09-09T14:14:11.2105255Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_1_cpu PASSED 2025-09-09T14:14:11.2106001Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_2_cpu PASSED 2025-09-09T14:14:11.2106765Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_3_cuda PASSED 2025-09-09T14:14:11.2107682Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_4_cuda PASSED 2025-09-09T14:14:11.2108559Z test/integration/test_integration.py::TestSubclass::test_dequantize_int8_weight_only_quant_subclass_5_cuda PASSED 2025-09-09T14:14:11.2109219Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_0_cpu SKIPPED 2025-09-09T14:14:11.2109800Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_1_cpu SKIPPED 2025-09-09T14:14:11.2110380Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_2_cpu SKIPPED 2025-09-09T14:14:11.2110956Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_3_cuda SKIPPED 2025-09-09T14:14:11.2111536Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_4_cuda SKIPPED 2025-09-09T14:14:11.2112188Z test/integration/test_integration.py::TestSubclass::test_gemlite_layout_5_cuda SKIPPED 2025-09-09T14:14:11.2112858Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_0_cpu SKIPPED 2025-09-09T14:14:11.2113579Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_1_cpu SKIPPED 2025-09-09T14:14:11.2114327Z 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 : 2025-09-09T14:14:11.2115187Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:11.2115611Z return fn(*args, **kwargs) 2025-09-09T14:14:11.2115742Z 2025-09-09T14:14:11.2115862Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:11.2116313Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:11.2116726Z return fn(*args, **kwargs) 2025-09-09T14:14:11.2116851Z 2025-09-09T14:14:11.2116961Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:11.2117417Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:11.2117821Z return fn(*args, **kwargs) 2025-09-09T14:14:11.2117941Z 2025-09-09T14:14:11.2118049Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:11.2118484Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:11.2118875Z return fn(*args, **kwargs) 2025-09-09T14:14:11.2119002Z 2025-09-09T14:14:11.2119107Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:11.2119536Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:11.2119935Z return fn(*args, **kwargs) 2025-09-09T14:14:11.2120054Z 2025-09-09T14:14:11.2120165Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:11.2120601Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:11.2121004Z return fn(*args, **kwargs) 2025-09-09T14:14:11.2121120Z 2025-09-09T14:14:11.2121232Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:11.2121671Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:11.2122069Z return fn(*args, **kwargs) 2025-09-09T14:14:11.2122182Z 2025-09-09T14:14:11.2122271Z PASSED 2025-09-09T14:14:11.2122740Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_3_cuda SKIPPED 2025-09-09T14:14:11.2123466Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_4_cuda SKIPPED 2025-09-09T14:14:11.2124141Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_hqq_quant_subclass_api_5_cuda Autotune Choices Stats: 2025-09-09T14:14:11.2125439Z {"num_choices": 7, "num_triton_choices": 5, "best_kernel": "triton_mm_112", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1", "best_time": 0.0055680000223219395, "best_triton_pos": 0} 2025-09-09T14:14:11.2126378Z AUTOTUNE addmm(16x16, 16x16, 16x16) 2025-09-09T14:14:11.2126584Z strides: [0, 1], [16, 1], [1, 16] 2025-09-09T14:14:11.2126818Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:14:11.2127366Z triton_mm_112 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-09T14:14:11.2128147Z triton_mm_111 0.0057 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-09T14:14:11.2128906Z triton_mm_110 0.0057 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-09T14:14:11.2129672Z triton_mm_113 0.0057 ms 97.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-09T14:14:46.6346644Z triton_mm_109 0.0060 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-09T14:14:46.6347367Z bias_addmm 0.0069 ms 80.6% 2025-09-09T14:14:46.6347616Z addmm 0.0095 ms 58.4% 2025-09-09T14:14:46.6348093Z SingleProcess AUTOTUNE benchmarking takes 0.4917 seconds and 0.3743 seconds precompiling for 7 choices 2025-09-09T14:14:46.6348827Z PASSED 2025-09-09T14:14:46.6349433Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:14:46.6350338Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:14:46.6351218Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:14:46.6352180Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_3_cuda SKIPPED 2025-09-09T14:14:46.6353044Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_4_cuda SKIPPED 2025-09-09T14:14:46.6353893Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_5_cuda PASSED 2025-09-09T14:14:46.6354750Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_0_cpu SKIPPED 2025-09-09T14:14:46.6355841Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_1_cpu SKIPPED 2025-09-09T14:14:46.6356858Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_2_cpu PASSED 2025-09-09T14:14:46.6357741Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_3_cuda SKIPPED 2025-09-09T14:14:46.6358615Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_4_cuda SKIPPED 2025-09-09T14:14:46.6359504Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_5_cuda PASSED 2025-09-09T14:14:46.6360415Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_0_cpu SKIPPED 2025-09-09T14:14:46.6361353Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_1_cpu SKIPPED 2025-09-09T14:14:46.6362336Z 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 : 2025-09-09T14:14:46.6363697Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:46.6364416Z return fn(*args, **kwargs) 2025-09-09T14:14:46.6364573Z 2025-09-09T14:14:46.6364714Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:46.6365386Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:46.6365898Z return fn(*args, **kwargs) 2025-09-09T14:14:46.6366048Z 2025-09-09T14:14:46.6366177Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:46.6366744Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:46.6367242Z return fn(*args, **kwargs) 2025-09-09T14:14:46.6367388Z 2025-09-09T14:14:46.6367504Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:46.6367946Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:46.6368350Z return fn(*args, **kwargs) 2025-09-09T14:14:46.6368480Z 2025-09-09T14:14:46.6368584Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:46.6369008Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:46.6369409Z return fn(*args, **kwargs) 2025-09-09T14:14:46.6369539Z 2025-09-09T14:14:46.6369652Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:14:46.6370079Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:14:46.6370479Z return fn(*args, **kwargs) 2025-09-09T14:14:46.6370595Z 2025-09-09T14:14:46.6370700Z PASSED 2025-09-09T14:14:46.6371193Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_3_cuda SKIPPED 2025-09-09T14:14:46.6371965Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_4_cuda SKIPPED 2025-09-09T14:14:46.6372697Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_api_grouped_5_cuda Autotune Choices Stats: 2025-09-09T14:14:46.6373738Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_117", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.00598399993032217, "best_triton_pos": 0} 2025-09-09T14:14:46.6374540Z AUTOTUNE addmm(256x16, 256x16, 16x16) 2025-09-09T14:14:46.6374747Z strides: [0, 1], [16, 1], [1, 16] 2025-09-09T14:14:46.6375136Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:14:46.6375690Z triton_mm_117 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:14:46.6376483Z triton_mm_124 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:14:46.6377267Z triton_mm_120 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:14:46.6378022Z triton_mm_119 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:14:46.6378770Z triton_mm_115 0.0061 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:14:46.6379516Z triton_mm_114 0.0062 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:14:46.6380642Z triton_mm_116 0.0062 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:14:46.6381421Z triton_mm_122 0.0062 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:14:46.6382182Z triton_mm_123 0.0063 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:14:46.6382935Z triton_mm_118 0.0063 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:14:46.6383607Z SingleProcess AUTOTUNE benchmarking takes 0.1666 seconds and 0.2389 seconds precompiling for 13 choices 2025-09-09T14:14:46.6384008Z Autotune Choices Stats: 2025-09-09T14:14:46.6384745Z {"num_choices": 13, "num_triton_choices": 11, "best_kernel": "triton_mm_163", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.005504000000655651, "best_triton_pos": 0} 2025-09-09T14:14:46.6385674Z AUTOTUNE addmm(256x8, 256x8, 8x8) 2025-09-09T14:14:46.6385868Z strides: [0, 1], [8, 1], [1, 8] 2025-09-09T14:14:46.6386107Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:14:46.6386646Z triton_mm_163 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:14:46.6387427Z triton_mm_160 0.0058 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:14:46.6388194Z triton_mm_164 0.0058 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:14:46.6388952Z triton_mm_158 0.0058 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:14:46.6389709Z triton_mm_162 0.0058 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:14:46.6390477Z triton_mm_159 0.0059 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:14:46.6391233Z triton_mm_161 0.0059 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:14:46.6392072Z triton_mm_167 0.0059 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:14:46.6392851Z triton_mm_168 0.0060 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:15:40.5811179Z triton_mm_166 0.0060 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:15:40.5812339Z SingleProcess AUTOTUNE benchmarking takes 0.1611 seconds and 0.2480 seconds precompiling for 13 choices 2025-09-09T14:15:40.5813561Z PASSED 2025-09-09T14:15:40.5814567Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_0_cpu SKIPPED 2025-09-09T14:15:40.5816451Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_1_cpu SKIPPED 2025-09-09T14:15:40.5819008Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_2_cpu SKIPPED 2025-09-09T14:15:40.5820522Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_3_cuda SKIPPED 2025-09-09T14:15:40.5822078Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_4_cuda SKIPPED 2025-09-09T14:15:40.5823051Z test/integration/test_integration.py::TestSubclass::test_int4_weight_only_quant_subclass_grouped_5_cuda SKIPPED 2025-09-09T14:15:40.5823859Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_0_cpu SKIPPED 2025-09-09T14:15:40.5824617Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_1_cpu SKIPPED 2025-09-09T14:15:40.5825540Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_2_cpu SKIPPED 2025-09-09T14:15:40.5826269Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_3_cuda Autotune Choices Stats: 2025-09-09T14:15:40.5827407Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_203", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.005919999908655882, "best_triton_pos": 0} 2025-09-09T14:15:40.5828320Z AUTOTUNE int_mm(32x64, 64x32) 2025-09-09T14:15:40.5828541Z strides: [64, 1], [1, 64] 2025-09-09T14:15:40.5828748Z dtypes: torch.int8, torch.int8 2025-09-09T14:15:40.5829300Z triton_mm_203 0.0059 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:15:40.5830166Z triton_mm_202 0.0060 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:15:40.5831032Z triton_mm_204 0.0060 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:15:40.5831898Z triton_mm_206 0.0060 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:15:40.5832776Z triton_mm_205 0.0060 ms 98.4% ACC_TYPE='tl.int32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:15:40.5833248Z _int_mm 0.0071 ms 83.7% 2025-09-09T14:15:40.5833613Z SingleProcess AUTOTUNE benchmarking takes 0.0709 seconds and 0.2342 seconds precompiling for 6 choices 2025-09-09T14:15:40.5834021Z PASSED 2025-09-09T14:15:40.5834452Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_4_cuda PASSED 2025-09-09T14:15:40.5835258Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_5_cuda PASSED 2025-09-09T14:15:40.5835948Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_00_cpu SKIPPED 2025-09-09T14:15:40.5836621Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_01_cpu SKIPPED 2025-09-09T14:15:40.5837291Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_02_cpu SKIPPED 2025-09-09T14:15:40.5837965Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_03_cpu SKIPPED 2025-09-09T14:15:40.5838638Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_04_cpu SKIPPED 2025-09-09T14:15:40.5839305Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_05_cpu SKIPPED 2025-09-09T14:15:40.5840294Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_06_cuda SKIPPED 2025-09-09T14:15:40.5840981Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_07_cuda SKIPPED 2025-09-09T14:15:40.5841680Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_08_cuda SKIPPED 2025-09-09T14:15:40.5842371Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_09_cuda SKIPPED 2025-09-09T14:15:40.5843044Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_10_cuda SKIPPED 2025-09-09T14:15:40.5843719Z test/integration/test_integration.py::TestSubclass::test_int8_dynamic_quant_subclass_api_11_cuda SKIPPED 2025-09-09T14:15:40.5844392Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_0_cpu SKIPPED 2025-09-09T14:15:40.5845218Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_1_cpu SKIPPED 2025-09-09T14:15:40.5845891Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_2_cpu SKIPPED 2025-09-09T14:15:40.5846524Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_3_cuda Autotune Choices Stats: 2025-09-09T14:15:40.5847529Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_218", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.0060800001956522465, "best_triton_pos": 0} 2025-09-09T14:15:40.5848302Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:15:40.5848484Z strides: [64, 1], [32, 1] 2025-09-09T14:15:40.5848667Z dtypes: torch.float32, torch.float32 2025-09-09T14:15:40.5849180Z triton_mm_218 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:15:40.5849964Z triton_mm_223 0.0063 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:15:40.5850725Z triton_mm_226 0.0064 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:15:40.5851487Z triton_mm_225 0.0065 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:15:40.5852257Z triton_mm_220 0.0065 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:15:40.5853015Z triton_mm_224 0.0067 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:15:40.5853783Z triton_mm_219 0.0068 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:15:40.5854560Z triton_mm_222 0.0071 ms 85.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:15:40.5855452Z triton_mm_221 0.0078 ms 77.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:15:40.5856209Z triton_mm_217 0.0081 ms 74.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:15:40.5857031Z SingleProcess AUTOTUNE benchmarking takes 0.5697 seconds and 0.5764 seconds precompiling for 11 choices 2025-09-09T14:15:40.5857555Z PASSED 2025-09-09T14:15:40.5857953Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_4_cuda Autotune Choices Stats: 2025-09-09T14:15:40.5858946Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_236", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.005888000130653381, "best_triton_pos": 0} 2025-09-09T14:15:40.5859712Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:15:40.5859886Z strides: [64, 1], [32, 1] 2025-09-09T14:15:40.5860066Z dtypes: torch.float16, torch.float16 2025-09-09T14:15:40.5860572Z triton_mm_236 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:15:40.5861344Z triton_mm_235 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:16:09.1824334Z triton_mm_234 0.0060 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:16:09.1825972Z triton_mm_233 0.0060 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:16:09.1826963Z triton_mm_230 0.0062 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:16:09.1827908Z triton_mm_229 0.0062 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:16:09.1828881Z triton_mm_228 0.0064 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:16:09.1829852Z triton_mm_232 0.0064 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:16:09.1830510Z mm 0.0069 ms 85.6% 2025-09-09T14:16:09.1831031Z triton_mm_231 0.0072 ms 81.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:16:09.1831818Z SingleProcess AUTOTUNE benchmarking takes 0.5023 seconds and 0.2471 seconds precompiling for 11 choices 2025-09-09T14:16:09.1832568Z PASSED 2025-09-09T14:16:09.1833059Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_5_cuda Autotune Choices Stats: 2025-09-09T14:16:09.1834237Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_240", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0060800001956522465, "best_triton_pos": 0} 2025-09-09T14:16:09.1835306Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:16:09.1835507Z strides: [64, 1], [32, 1] 2025-09-09T14:16:09.1835717Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:16:09.1836296Z triton_mm_240 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:16:09.1837189Z triton_mm_246 0.0061 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:16:09.1838663Z triton_mm_244 0.0061 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:16:09.1839813Z triton_mm_245 0.0062 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:16:09.1840723Z triton_mm_238 0.0063 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:16:09.1841483Z triton_mm_239 0.0064 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:16:09.1842238Z triton_mm_243 0.0064 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:16:09.1842733Z mm 0.0067 ms 90.9% 2025-09-09T14:16:09.1843220Z triton_mm_242 0.0067 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:16:09.1843984Z triton_mm_241 0.0076 ms 79.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:16:09.1844663Z SingleProcess AUTOTUNE benchmarking takes 0.1741 seconds and 0.2388 seconds precompiling for 11 choices 2025-09-09T14:16:09.1845245Z PASSED 2025-09-09T14:16:09.1845750Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_0_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1846492Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1846927Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1847069Z 2025-09-09T14:16:09.1847192Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1847652Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1848063Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1848187Z 2025-09-09T14:16:09.1848298Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1848744Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1849139Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1849265Z 2025-09-09T14:16:09.1849371Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1849809Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1850212Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1850345Z 2025-09-09T14:16:09.1850457Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1850885Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1851285Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1851403Z 2025-09-09T14:16:09.1851510Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1851948Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1852345Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1852462Z 2025-09-09T14:16:09.1852548Z PASSED 2025-09-09T14:16:09.1853037Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_1_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1853751Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1854147Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1854262Z 2025-09-09T14:16:09.1854388Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1855278Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1855704Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1855833Z 2025-09-09T14:16:09.1855940Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1856385Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1856800Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1856918Z 2025-09-09T14:16:09.1857022Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1857461Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1857852Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1857974Z 2025-09-09T14:16:09.1858078Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1858514Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1858906Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1859024Z 2025-09-09T14:16:09.1859135Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1859560Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1859966Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1860084Z 2025-09-09T14:16:09.1860173Z PASSED 2025-09-09T14:16:09.1860659Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_2_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1861403Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1861802Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1861930Z 2025-09-09T14:16:09.1862051Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1862487Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1862893Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1863010Z 2025-09-09T14:16:09.1863121Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1863547Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1863945Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1864062Z 2025-09-09T14:16:09.1864168Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:16:09.1864604Z File "/opt/conda/envs/venv/lib/python3.9/site-packages/torch/_dynamo/external_utils.py", line 68, in inner 2025-09-09T14:16:09.1865138Z return fn(*args, **kwargs) 2025-09-09T14:16:09.1865268Z 2025-09-09T14:16:09.1865352Z PASSED 2025-09-09T14:16:09.1865773Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_3_cuda Autotune Choices Stats: 2025-09-09T14:16:09.1866809Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_259", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-09T14:16:09.1867598Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:16:09.1867773Z strides: [32, 1], [32, 1] 2025-09-09T14:16:09.1867966Z dtypes: torch.float32, torch.float32 2025-09-09T14:16:09.1868484Z triton_mm_259 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:16:09.1869267Z triton_mm_261 0.0063 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:01.5413060Z triton_mm_258 0.0063 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:01.5414306Z triton_mm_262 0.0063 ms 97.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:01.5415602Z triton_mm_260 0.0066 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:01.5416626Z triton_mm_257 0.0069 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:01.5417259Z mm 0.0103 ms 59.4% 2025-09-09T14:17:01.5417737Z SingleProcess AUTOTUNE benchmarking takes 0.1676 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:17:01.5418495Z PASSED 2025-09-09T14:17:01.5419078Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_4_cuda Autotune Choices Stats: 2025-09-09T14:17:01.5420480Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_275", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.005824000108987093, "best_triton_pos": 0} 2025-09-09T14:17:01.5421540Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:17:01.5421763Z strides: [32, 1], [32, 1] 2025-09-09T14:17:01.5422005Z dtypes: torch.float16, torch.float16 2025-09-09T14:17:01.5422678Z triton_mm_275 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:01.5423760Z triton_mm_274 0.0059 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:01.5424801Z triton_mm_277 0.0060 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:01.5425736Z triton_mm_278 0.0060 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:01.5426521Z triton_mm_273 0.0061 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:01.5427304Z triton_mm_276 0.0063 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:01.5427790Z mm 0.0066 ms 88.3% 2025-09-09T14:17:01.5428149Z SingleProcess AUTOTUNE benchmarking takes 0.1747 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:17:01.5428583Z PASSED 2025-09-09T14:17:01.5428999Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_subclass_api_5_cuda Autotune Choices Stats: 2025-09-09T14:17:01.5430055Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_291", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.005888000130653381, "best_triton_pos": 0} 2025-09-09T14:17:01.5430823Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:17:01.5431002Z strides: [32, 1], [32, 1] 2025-09-09T14:17:01.5431189Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:17:01.5431707Z triton_mm_291 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:01.5432746Z triton_mm_294 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:01.5433649Z triton_mm_293 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:01.5434436Z triton_mm_290 0.0060 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:01.5435382Z triton_mm_292 0.0063 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:01.5436150Z triton_mm_289 0.0065 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:01.5436633Z mm 0.0068 ms 86.0% 2025-09-09T14:17:01.5436991Z SingleProcess AUTOTUNE benchmarking takes 0.0872 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:17:01.5437416Z PASSED 2025-09-09T14:17:01.5437830Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_0_cpu Autotune Choices Stats: 2025-09-09T14:17:01.5438472Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_0", "best_time": 0.005951151251792908} 2025-09-09T14:17:01.5438894Z AUTOTUNE packed_linear(32x64, 1459233x1, 32x64) 2025-09-09T14:17:01.5439127Z strides: [64, 1], [1, 0], [64, 1] 2025-09-09T14:17:01.5439361Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:17:01.5439620Z cpp_CppMicroGemmFP32Vec_0 0.0060 ms 100.0% 2025-09-09T14:17:01.5439845Z _mkl_linear 0.0225 ms 26.5% 2025-09-09T14:17:01.5440212Z SingleProcess AUTOTUNE benchmarking takes 0.2496 seconds and 1.8743 seconds precompiling for 2 choices 2025-09-09T14:17:01.5440594Z Autotune Choices Stats: 2025-09-09T14:17:01.5440967Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_1", "best_time": 0.0059194862842559814} 2025-09-09T14:17:01.5441380Z AUTOTUNE packed_linear(32x32, 1459233x1, 32x32) 2025-09-09T14:17:01.5441607Z strides: [32, 1], [1, 0], [32, 1] 2025-09-09T14:17:01.5441827Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:17:01.5442082Z cpp_CppMicroGemmFP32Vec_1 0.0059 ms 100.0% 2025-09-09T14:17:01.5442315Z _mkl_linear 0.0221 ms 26.8% 2025-09-09T14:17:01.5466133Z SingleProcess AUTOTUNE benchmarking takes 0.2492 seconds and 1.9356 seconds precompiling for 2 choices 2025-09-09T14:17:01.5466676Z PASSED 2025-09-09T14:17:01.5467122Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_1_cpu Autotune Choices Stats: 2025-09-09T14:17:01.5467781Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_2", "best_time": 0.00618956983089447} 2025-09-09T14:17:01.5468192Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:17:01.5468415Z strides: [64, 1], [1, 64] 2025-09-09T14:17:01.5468611Z dtypes: torch.float16, torch.float16 2025-09-09T14:17:01.5468857Z cpp_CppMicroGemmFP32Vec_2 0.0062 ms 100.0% 2025-09-09T14:17:01.5469075Z mm 0.0212 ms 29.3% 2025-09-09T14:17:01.5469433Z SingleProcess AUTOTUNE benchmarking takes 0.2543 seconds and 2.0374 seconds precompiling for 2 choices 2025-09-09T14:17:01.5469818Z Autotune Choices Stats: 2025-09-09T14:17:01.5470190Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_3", "best_time": 0.0060889869928359985} 2025-09-09T14:17:01.5470607Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:17:01.5470785Z strides: [32, 1], [1, 32] 2025-09-09T14:17:01.5470975Z dtypes: torch.float16, torch.float16 2025-09-09T14:17:01.5471204Z cpp_CppMicroGemmFP32Vec_3 0.0061 ms 100.0% 2025-09-09T14:17:01.5471430Z mm 0.0220 ms 27.7% 2025-09-09T14:17:01.5471773Z SingleProcess AUTOTUNE benchmarking takes 0.4275 seconds and 2.2089 seconds precompiling for 2 choices 2025-09-09T14:17:01.5472501Z PASSED 2025-09-09T14:17:01.5473057Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_2_cpu Autotune Choices Stats: 2025-09-09T14:17:01.5473704Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_4", "best_time": 0.006230548024177551} 2025-09-09T14:17:01.5474122Z AUTOTUNE _weight_int8pack_mm(32x64, 32x64, 32) 2025-09-09T14:17:01.5474352Z strides: [64, 1], [64, 1], [1] 2025-09-09T14:17:01.5474583Z dtypes: torch.bfloat16, torch.int8, torch.bfloat16 2025-09-09T14:17:01.5474856Z cpp_CppMicroGemmFP32Vec_4 0.0062 ms 100.0% 2025-09-09T14:17:01.5475252Z _weight_int8pack_mm 0.0136 ms 45.7% 2025-09-09T14:17:01.5475659Z SingleProcess AUTOTUNE benchmarking takes 0.2618 seconds and 2.3770 seconds precompiling for 2 choices 2025-09-09T14:17:01.5476057Z Autotune Choices Stats: 2025-09-09T14:17:01.5476429Z {"num_choices": 2, "num_triton_choices": 0, "best_kernel": "cpp_CppMicroGemmFP32Vec_5", "best_time": 0.006271526217460632} 2025-09-09T14:17:01.5476858Z AUTOTUNE _weight_int8pack_mm(32x32, 32x32, 32) 2025-09-09T14:17:01.5477092Z strides: [32, 1], [32, 1], [1] 2025-09-09T14:17:01.5477316Z dtypes: torch.bfloat16, torch.int8, torch.bfloat16 2025-09-09T14:17:01.5477596Z cpp_CppMicroGemmFP32Vec_5 0.0063 ms 100.0% 2025-09-09T14:17:01.5477834Z _weight_int8pack_mm 0.0139 ms 45.1% 2025-09-09T14:17:01.5478226Z SingleProcess AUTOTUNE benchmarking takes 0.2720 seconds and 2.2610 seconds precompiling for 2 choices 2025-09-09T14:17:01.5478642Z PASSED 2025-09-09T14:17:01.5479057Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_3_cuda Autotune Choices Stats: 2025-09-09T14:17:01.5480083Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_296", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.008320000022649765, "best_triton_pos": 0} 2025-09-09T14:17:01.5480870Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:17:01.5481053Z strides: [64, 1], [1, 64] 2025-09-09T14:17:01.5481235Z dtypes: torch.float32, torch.float32 2025-09-09T14:17:01.5481747Z triton_mm_296 0.0083 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3708283Z triton_mm_297 0.0084 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:16.3709712Z triton_mm_298 0.0084 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:16.3710731Z triton_mm_304 0.0084 ms 99.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:16.3711731Z triton_mm_301 0.0084 ms 99.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:16.3712765Z triton_mm_303 0.0087 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:16.3713703Z triton_mm_302 0.0087 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:16.3714639Z triton_mm_300 0.0091 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3716031Z triton_mm_299 0.0097 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3717770Z triton_mm_295 0.0101 ms 82.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:16.3718680Z SingleProcess AUTOTUNE benchmarking takes 0.1512 seconds and 0.2719 seconds precompiling for 11 choices 2025-09-09T14:17:16.3719244Z Autotune Choices Stats: 2025-09-09T14:17:16.3720151Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_309", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006560000125318766, "best_triton_pos": 0} 2025-09-09T14:17:16.3721077Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:17:16.3721276Z strides: [32, 1], [1, 32] 2025-09-09T14:17:16.3721491Z dtypes: torch.float32, torch.float32 2025-09-09T14:17:16.3722083Z triton_mm_309 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:16.3723014Z triton_mm_310 0.0069 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:16.3723913Z triton_mm_307 0.0070 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:16.3724797Z triton_mm_306 0.0072 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3725820Z triton_mm_308 0.0076 ms 85.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3726719Z triton_mm_305 0.0078 ms 84.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:16.3727281Z mm 0.0109 ms 60.1% 2025-09-09T14:17:16.3727701Z SingleProcess AUTOTUNE benchmarking takes 0.1115 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:17:16.3728349Z PASSED 2025-09-09T14:17:16.3728841Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_4_cuda Autotune Choices Stats: 2025-09-09T14:17:16.3730017Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_319", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.005919999908655882, "best_triton_pos": 0} 2025-09-09T14:17:16.3730787Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:17:16.3730973Z strides: [64, 1], [1, 64] 2025-09-09T14:17:16.3731161Z dtypes: torch.float16, torch.float16 2025-09-09T14:17:16.3731684Z triton_mm_319 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:16.3732477Z triton_mm_318 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:16.3733249Z triton_mm_313 0.0062 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:16.3734013Z triton_mm_317 0.0062 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:16.3734778Z triton_mm_320 0.0063 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:16.3736027Z triton_mm_312 0.0065 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3736803Z triton_mm_314 0.0065 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:16.3737560Z triton_mm_316 0.0066 ms 89.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3738055Z mm 0.0067 ms 88.1% 2025-09-09T14:17:16.3738510Z triton_mm_311 0.0071 ms 83.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:16.3739192Z SingleProcess AUTOTUNE benchmarking takes 0.2198 seconds and 0.1731 seconds precompiling for 11 choices 2025-09-09T14:17:16.3739598Z Autotune Choices Stats: 2025-09-09T14:17:16.3740355Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_325", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.005663999821990728, "best_triton_pos": 0} 2025-09-09T14:17:16.3741135Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:17:16.3741311Z strides: [32, 1], [1, 32] 2025-09-09T14:17:16.3741503Z dtypes: torch.float16, torch.float16 2025-09-09T14:17:16.3742000Z triton_mm_325 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:16.3742778Z triton_mm_323 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:16.3743547Z triton_mm_326 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:16.3744302Z triton_mm_322 0.0058 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3745176Z triton_mm_324 0.0059 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:16.3745942Z triton_mm_321 0.0061 ms 92.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:16.3746425Z mm 0.0069 ms 81.9% 2025-09-09T14:17:16.3746773Z SingleProcess AUTOTUNE benchmarking takes 0.0839 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:17:16.3747192Z PASSED 2025-09-09T14:17:16.3747603Z test/integration/test_integration.py::TestSubclass::test_int8_weight_only_quant_with_freeze_5_cuda Autotune Choices Stats: 2025-09-09T14:17:16.3748612Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_330", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0058559998869895935, "best_triton_pos": 0} 2025-09-09T14:17:16.3749381Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:17:16.3749560Z strides: [64, 1], [32, 1] 2025-09-09T14:17:16.3749746Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:17:16.3750266Z triton_mm_330 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:16.3751193Z triton_mm_335 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:35.0293835Z triton_mm_336 0.0060 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:35.0295843Z triton_mm_329 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:35.0297442Z triton_mm_333 0.0061 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:35.0298995Z triton_mm_334 0.0062 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:35.0300593Z triton_mm_328 0.0063 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:35.0302112Z triton_mm_332 0.0068 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:35.0303108Z mm 0.0072 ms 81.7% 2025-09-09T14:17:35.0304098Z triton_mm_327 0.0072 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:35.0305435Z SingleProcess AUTOTUNE benchmarking takes 0.3215 seconds and 0.1540 seconds precompiling for 11 choices 2025-09-09T14:17:35.0305923Z Autotune Choices Stats: 2025-09-09T14:17:35.0306857Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_338", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.005727999843657017, "best_triton_pos": 0} 2025-09-09T14:17:35.0307840Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:17:35.0308056Z strides: [32, 1], [32, 1] 2025-09-09T14:17:35.0308283Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:17:35.0308930Z triton_mm_338 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:35.0309911Z triton_mm_339 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:35.0310879Z triton_mm_341 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:35.0311848Z triton_mm_342 0.0058 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:35.0312879Z triton_mm_340 0.0063 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:35.0313841Z triton_mm_337 0.0063 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:35.0314450Z mm 0.0066 ms 86.9% 2025-09-09T14:17:35.0314874Z SingleProcess AUTOTUNE benchmarking takes 0.1575 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:17:35.0315648Z PASSED 2025-09-09T14:17:35.0316056Z test/integration/test_integration.py::TestDynamicQuant::test_dynamic_quant PASSED 2025-09-09T14:17:35.0316742Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_groupwise_embedding_quant PASSED 2025-09-09T14:17:35.0318127Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_groupwise_quant PASSED 2025-09-09T14:17:35.0318823Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant PASSED 2025-09-09T14:17:35.0319538Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_0_cpu SKIPPED 2025-09-09T14:17:35.0320308Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_1_cpu SKIPPED 2025-09-09T14:17:35.0321085Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_2_cpu SKIPPED 2025-09-09T14:17:35.0321806Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_3_cuda Autotune Choices Stats: 2025-09-09T14:17:35.0322886Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_343", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1", "best_time": 0.006240000016987324, "best_triton_pos": 0} 2025-09-09T14:17:35.0323661Z AUTOTUNE mm(2x4, 4x5) 2025-09-09T14:17:35.0323830Z strides: [4, 1], [5, 1] 2025-09-09T14:17:35.0324029Z dtypes: torch.float32, torch.float32 2025-09-09T14:17:35.0324550Z triton_mm_343 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-09T14:17:35.0325482Z triton_mm_344 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-09T14:17:35.0326261Z triton_mm_346 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-09T14:17:35.0327050Z triton_mm_347 0.0063 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-09T14:17:35.0327813Z triton_mm_345 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-09T14:17:35.0328293Z mm 0.0067 ms 93.3% 2025-09-09T14:17:35.0328650Z SingleProcess AUTOTUNE benchmarking takes 0.1222 seconds and 0.2516 seconds precompiling for 6 choices 2025-09-09T14:17:35.0329038Z Autotune Choices Stats: 2025-09-09T14:17:35.0329784Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_349", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2", "best_time": 0.0058559998869895935, "best_triton_pos": 0} 2025-09-09T14:17:35.0330553Z AUTOTUNE mm(125x4, 4x5) 2025-09-09T14:17:35.0330724Z strides: [4, 1], [5, 1] 2025-09-09T14:17:35.0330913Z dtypes: torch.float32, torch.float32 2025-09-09T14:17:35.0331414Z triton_mm_349 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:17:35.0332192Z triton_mm_348 0.0061 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:17:35.0332957Z triton_mm_350 0.0062 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:17:35.0333721Z triton_mm_353 0.0063 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:35.0334639Z triton_mm_351 0.0064 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:17:35.0335651Z triton_mm_352 0.0064 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:17:35.0336419Z triton_mm_354 0.0064 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:17:35.0337184Z triton_mm_355 0.0067 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:17:35.0337970Z triton_mm_357 0.0071 ms 82.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:17:35.0338777Z triton_mm_358 0.0072 ms 81.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:17:35.0339454Z SingleProcess AUTOTUNE benchmarking takes 0.1685 seconds and 0.2903 seconds precompiling for 12 choices 2025-09-09T14:17:35.0339850Z Autotune Choices Stats: 2025-09-09T14:17:35.0340602Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_360", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.006175999995321035, "best_triton_pos": 0} 2025-09-09T14:17:35.0341360Z AUTOTUNE mm(4x4, 4x5) 2025-09-09T14:17:35.0341529Z strides: [4, 1], [5, 1] 2025-09-09T14:17:35.0341703Z dtypes: torch.float32, torch.float32 2025-09-09T14:18:00.2549416Z triton_mm_360 0.0062 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-09T14:18:00.2551219Z triton_mm_361 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-09T14:18:00.2552664Z triton_mm_362 0.0063 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-09T14:18:00.2553636Z triton_mm_363 0.0063 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-09T14:18:00.2554597Z triton_mm_359 0.0063 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-09T14:18:00.2555676Z mm 0.0070 ms 88.1% 2025-09-09T14:18:00.2556119Z SingleProcess AUTOTUNE benchmarking takes 0.2113 seconds and 0.2605 seconds precompiling for 6 choices 2025-09-09T14:18:00.2556813Z PASSED 2025-09-09T14:18:00.2557382Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_4_cuda Autotune Choices Stats: 2025-09-09T14:18:00.2558692Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_367", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1", "best_time": 0.0058559998869895935, "best_triton_pos": 0} 2025-09-09T14:18:00.2559667Z AUTOTUNE mm(2x4, 4x5) 2025-09-09T14:18:00.2559871Z strides: [4, 1], [5, 1] 2025-09-09T14:18:00.2560092Z dtypes: torch.float16, torch.float16 2025-09-09T14:18:00.2560738Z triton_mm_367 0.0059 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-09T14:18:00.2562124Z triton_mm_365 0.0060 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-09T14:18:00.2563170Z triton_mm_366 0.0060 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-09T14:18:00.2563993Z triton_mm_364 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-09T14:18:00.2564783Z triton_mm_368 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-09T14:18:00.2565448Z mm 0.0064 ms 91.5% 2025-09-09T14:18:00.2565814Z SingleProcess AUTOTUNE benchmarking takes 0.1134 seconds and 0.2540 seconds precompiling for 6 choices 2025-09-09T14:18:00.2566216Z Autotune Choices Stats: 2025-09-09T14:18:00.2566984Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_373", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.005504000000655651, "best_triton_pos": 0} 2025-09-09T14:18:00.2567767Z AUTOTUNE mm(125x4, 4x5) 2025-09-09T14:18:00.2567934Z strides: [4, 1], [5, 1] 2025-09-09T14:18:00.2568110Z dtypes: torch.float16, torch.float16 2025-09-09T14:18:00.2568631Z triton_mm_373 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:18:00.2569439Z triton_mm_372 0.0057 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:18:00.2570240Z triton_mm_370 0.0057 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:18:00.2571055Z triton_mm_371 0.0058 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:18:00.2571862Z triton_mm_374 0.0058 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:18:00.2572629Z triton_mm_369 0.0058 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:18:00.2573393Z triton_mm_375 0.0058 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:18:00.2574172Z triton_mm_376 0.0059 ms 93.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:18:00.2575071Z triton_mm_377 0.0060 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:18:00.2575854Z triton_mm_378 0.0060 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:18:00.2576576Z SingleProcess AUTOTUNE benchmarking takes 0.2673 seconds and 0.2462 seconds precompiling for 12 choices 2025-09-09T14:18:00.2576975Z Autotune Choices Stats: 2025-09-09T14:18:00.2577888Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_381", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1", "best_time": 0.005760000087320805, "best_triton_pos": 0} 2025-09-09T14:18:00.2578785Z AUTOTUNE mm(4x4, 4x5) 2025-09-09T14:18:00.2578957Z strides: [4, 1], [5, 1] 2025-09-09T14:18:00.2579137Z dtypes: torch.float16, torch.float16 2025-09-09T14:18:00.2579631Z triton_mm_381 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-09T14:18:00.2580415Z triton_mm_382 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-09T14:18:00.2581188Z triton_mm_384 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-09T14:18:00.2581968Z triton_mm_383 0.0058 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-09T14:18:00.2582739Z triton_mm_380 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-09T14:18:00.2583217Z mm 0.0065 ms 88.7% 2025-09-09T14:18:00.2583562Z SingleProcess AUTOTUNE benchmarking takes 0.1072 seconds and 0.2471 seconds precompiling for 6 choices 2025-09-09T14:18:00.2584010Z PASSED 2025-09-09T14:18:00.2584459Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_force_mixed_mm_5_cuda Autotune Choices Stats: 2025-09-09T14:18:00.2585647Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_385", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1", "best_time": 0.00598399993032217, "best_triton_pos": 0} 2025-09-09T14:18:00.2586418Z AUTOTUNE mm(2x4, 4x5) 2025-09-09T14:18:00.2586587Z strides: [4, 1], [5, 1] 2025-09-09T14:18:00.2586771Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:18:00.2587282Z triton_mm_385 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-09T14:18:00.2588063Z triton_mm_387 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-09T14:18:00.2588837Z triton_mm_389 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-09T14:18:00.2589611Z triton_mm_386 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-09T14:18:00.2590400Z triton_mm_388 0.0062 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-09T14:18:00.2590877Z mm 0.0069 ms 86.6% 2025-09-09T14:18:00.2591220Z SingleProcess AUTOTUNE benchmarking takes 0.0804 seconds and 0.2498 seconds precompiling for 6 choices 2025-09-09T14:18:00.2591607Z Autotune Choices Stats: 2025-09-09T14:18:52.8319901Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_392", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.005791999865323305, "best_triton_pos": 0} 2025-09-09T14:18:52.8320942Z AUTOTUNE mm(125x4, 4x5) 2025-09-09T14:18:52.8321168Z strides: [4, 1], [5, 1] 2025-09-09T14:18:52.8321390Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:18:52.8322509Z triton_mm_392 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:18:52.8323724Z triton_mm_393 0.0059 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:18:52.8324678Z triton_mm_396 0.0059 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:18:52.8325785Z triton_mm_390 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:18:52.8326749Z triton_mm_394 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:18:52.8327662Z triton_mm_395 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:18:52.8328584Z triton_mm_398 0.0060 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:18:52.8329485Z triton_mm_397 0.0061 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:18:52.8330380Z triton_mm_399 0.0061 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:18:52.8331266Z triton_mm_400 0.0061 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=128, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:18:52.8332052Z SingleProcess AUTOTUNE benchmarking takes 0.4292 seconds and 0.2429 seconds precompiling for 12 choices 2025-09-09T14:18:52.8332503Z Autotune Choices Stats: 2025-09-09T14:18:52.8333346Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_405", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1", "best_time": 0.005535999778658152, "best_triton_pos": 0} 2025-09-09T14:18:52.8334221Z AUTOTUNE mm(4x4, 4x5) 2025-09-09T14:18:52.8334401Z strides: [4, 1], [5, 1] 2025-09-09T14:18:52.8334605Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:18:52.8335317Z triton_mm_405 0.0055 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=1 2025-09-09T14:18:52.8336206Z triton_mm_404 0.0059 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=1 2025-09-09T14:18:52.8337029Z triton_mm_401 0.0060 ms 92.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=1 2025-09-09T14:18:52.8337792Z triton_mm_402 0.0060 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=1 2025-09-09T14:18:52.8338531Z triton_mm_403 0.0060 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=16, EVEN_K=False, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=1 2025-09-09T14:18:52.8338999Z mm 0.0065 ms 84.8% 2025-09-09T14:18:52.8339336Z SingleProcess AUTOTUNE benchmarking takes 0.0737 seconds and 0.2435 seconds precompiling for 6 choices 2025-09-09T14:18:52.8339941Z PASSED 2025-09-09T14:18:52.8340627Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_0_cpu SKIPPED 2025-09-09T14:18:52.8341524Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_1_cpu SKIPPED 2025-09-09T14:18:52.8342288Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_2_cpu SKIPPED 2025-09-09T14:18:52.8343030Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_3_cuda PASSED 2025-09-09T14:18:52.8343786Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_4_cuda PASSED 2025-09-09T14:18:52.8344543Z test/integration/test_integration.py::TestWeightOnlyInt8Quant::test_weight_only_quant_use_mixed_mm_5_cuda PASSED 2025-09-09T14:18:52.8345373Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_0_cpu SKIPPED 2025-09-09T14:18:52.8346026Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_1_cpu SKIPPED 2025-09-09T14:18:52.8346665Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_2_cpu SKIPPED 2025-09-09T14:18:52.8347261Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_3_cuda Autotune Choices Stats: 2025-09-09T14:18:52.8348235Z {"num_choices": 5, "num_triton_choices": 4, "best_kernel": "triton_mm_474", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.0058559998869895935, "best_triton_pos": 0} 2025-09-09T14:18:52.8348977Z AUTOTUNE int_mm(32x32, 32x32) 2025-09-09T14:18:52.8349173Z strides: [32, 1], [1, 32] 2025-09-09T14:18:52.8349354Z dtypes: torch.int8, torch.int8 2025-09-09T14:18:52.8349846Z triton_mm_474 0.0059 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:18:52.8350624Z triton_mm_476 0.0059 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:18:52.8351358Z triton_mm_477 0.0059 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:18:52.8352157Z triton_mm_475 0.0060 ms 96.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:18:52.8352629Z _int_mm 0.0073 ms 80.6% 2025-09-09T14:18:52.8352980Z SingleProcess AUTOTUNE benchmarking takes 0.0621 seconds and 0.1902 seconds precompiling for 5 choices 2025-09-09T14:18:52.8353369Z Autotune Choices Stats: 2025-09-09T14:18:52.8354089Z {"num_choices": 6, "num_triton_choices": 5, "best_kernel": "triton_mm_470", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.00595200015231967, "best_triton_pos": 0} 2025-09-09T14:18:52.8354839Z AUTOTUNE int_mm(32x64, 64x32) 2025-09-09T14:18:52.8355168Z strides: [64, 1], [1, 64] 2025-09-09T14:18:52.8355346Z dtypes: torch.int8, torch.int8 2025-09-09T14:18:52.8355820Z triton_mm_470 0.0060 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:18:52.8356601Z triton_mm_473 0.0060 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:18:52.8357375Z triton_mm_471 0.0060 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:18:52.8358401Z triton_mm_469 0.0061 ms 97.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:18:52.8359151Z triton_mm_472 0.0061 ms 97.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:18:52.8359631Z _int_mm 0.0072 ms 82.7% 2025-09-09T14:18:52.8359983Z SingleProcess AUTOTUNE benchmarking takes 0.0730 seconds and 0.0002 seconds precompiling for 6 choices 2025-09-09T14:18:52.8360400Z PASSED 2025-09-09T14:18:52.8360816Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_4_cuda PASSED 2025-09-09T14:18:52.8361447Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_dqtensors_5_cuda PASSED 2025-09-09T14:18:52.8362102Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_0_cpu SKIPPED 2025-09-09T14:18:52.8362771Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_1_cpu SKIPPED 2025-09-09T14:19:00.7719855Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_2_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7720700Z File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward 2025-09-09T14:19:00.7721112Z x = self.lin1(x) 2025-09-09T14:19:00.7721238Z 2025-09-09T14:19:00.7721382Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7721831Z File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward 2025-09-09T14:19:00.7722223Z x = self.relu(x) 2025-09-09T14:19:00.7722348Z 2025-09-09T14:19:00.7722479Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7722926Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7723312Z x = self.lin2(x) 2025-09-09T14:19:00.7723470Z 2025-09-09T14:19:00.7723746Z PASSED 2025-09-09T14:19:00.7724293Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_3_cuda SKIPPED 2025-09-09T14:19:00.7725506Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_4_cuda SKIPPED 2025-09-09T14:19:00.7726317Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int4woqtensors_5_cuda Autotune Choices Stats: 2025-09-09T14:19:00.7727565Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_503", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.00595200015231967, "best_triton_pos": 0} 2025-09-09T14:19:00.7728544Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:19:00.7728762Z strides: [64, 1], [1, 64] 2025-09-09T14:19:00.7728988Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:19:00.7729606Z triton_mm_503 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:00.7730504Z triton_mm_504 0.0060 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:00.7731393Z triton_mm_497 0.0061 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:00.7732275Z triton_mm_498 0.0061 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:00.7733149Z triton_mm_502 0.0062 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:00.7734548Z triton_mm_499 0.0062 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:00.7735589Z triton_mm_501 0.0062 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:00.7736469Z triton_mm_505 0.0062 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:00.7737024Z mm 0.0067 ms 89.4% 2025-09-09T14:19:00.7737542Z triton_mm_500 0.0068 ms 87.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:00.7738318Z SingleProcess AUTOTUNE benchmarking takes 0.1306 seconds and 0.1764 seconds precompiling for 11 choices 2025-09-09T14:19:00.7738783Z Autotune Choices Stats: 2025-09-09T14:19:00.7739575Z {"num_choices": 8, "num_triton_choices": 6, "best_kernel": "triton_mm_510", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.005663999821990728, "best_triton_pos": 0} 2025-09-09T14:19:00.7740355Z AUTOTUNE addmm(32x32, 32x32, 32x32) 2025-09-09T14:19:00.7740563Z strides: [0, 1], [32, 1], [1, 32] 2025-09-09T14:19:00.7740802Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:19:00.7741367Z triton_mm_510 0.0057 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:00.7742152Z triton_mm_508 0.0057 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:00.7742924Z triton_mm_507 0.0057 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:00.7743704Z triton_mm_511 0.0058 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:00.7744485Z triton_mm_509 0.0062 ms 91.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:00.7745398Z triton_mm_506 0.0063 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:19:00.7745900Z bias_addmm 0.0071 ms 79.7% 2025-09-09T14:19:00.7746091Z addmm 0.0099 ms 57.5% 2025-09-09T14:19:00.7746445Z SingleProcess AUTOTUNE benchmarking takes 0.0986 seconds and 0.0002 seconds precompiling for 8 choices 2025-09-09T14:19:00.7746874Z PASSED 2025-09-09T14:19:00.7747355Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_0_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7747985Z File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward 2025-09-09T14:19:00.7748306Z x = self.lin1(x) 2025-09-09T14:19:00.7748406Z 2025-09-09T14:19:00.7748517Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7748899Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7749210Z x = self.lin2(x) 2025-09-09T14:19:00.7749313Z 2025-09-09T14:19:00.7749417Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7749767Z File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward 2025-09-09T14:19:00.7750068Z x = self.lin1(x) 2025-09-09T14:19:00.7750325Z 2025-09-09T14:19:00.7750543Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7750906Z File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward 2025-09-09T14:19:00.7751215Z x = self.relu(x) 2025-09-09T14:19:00.7751310Z 2025-09-09T14:19:00.7751419Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7751763Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7752182Z x = self.lin2(x) 2025-09-09T14:19:00.7752279Z 2025-09-09T14:19:00.7752383Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7752728Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7753029Z x = self.lin2(x) 2025-09-09T14:19:00.7753128Z 2025-09-09T14:19:00.7753215Z PASSED 2025-09-09T14:19:00.7753685Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_1_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7754304Z File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward 2025-09-09T14:19:00.7754615Z x = self.lin1(x) 2025-09-09T14:19:00.7754709Z 2025-09-09T14:19:00.7754811Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7755318Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7755620Z x = self.lin2(x) 2025-09-09T14:19:00.7755721Z 2025-09-09T14:19:00.7755823Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7756172Z File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward 2025-09-09T14:19:00.7756472Z x = self.lin1(x) 2025-09-09T14:19:00.7756568Z 2025-09-09T14:19:00.7756677Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7757014Z File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward 2025-09-09T14:19:00.7757316Z x = self.relu(x) 2025-09-09T14:19:00.7757417Z 2025-09-09T14:19:00.7757525Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7757877Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7758183Z x = self.lin2(x) 2025-09-09T14:19:00.7758277Z 2025-09-09T14:19:00.7758380Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7758723Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7759031Z x = self.lin2(x) 2025-09-09T14:19:00.7759136Z 2025-09-09T14:19:00.7759219Z PASSED 2025-09-09T14:19:00.7759672Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_2_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7760288Z File "/pytorch/ao/test/integration/test_integration.py", line 1248, in forward 2025-09-09T14:19:00.7760596Z x = self.lin1(x) 2025-09-09T14:19:00.7760687Z 2025-09-09T14:19:00.7760792Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7761160Z File "/pytorch/ao/test/integration/test_integration.py", line 1249, in forward 2025-09-09T14:19:00.7761460Z x = self.relu(x) 2025-09-09T14:19:00.7761563Z 2025-09-09T14:19:00.7761668Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7762016Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7762315Z x = self.lin2(x) 2025-09-09T14:19:00.7762411Z 2025-09-09T14:19:00.7762520Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:19:00.7762864Z File "/pytorch/ao/test/integration/test_integration.py", line 1250, in forward 2025-09-09T14:19:00.7763168Z x = self.lin2(x) 2025-09-09T14:19:00.7763262Z 2025-09-09T14:19:00.7763340Z PASSED 2025-09-09T14:19:00.7763739Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_3_cuda Autotune Choices Stats: 2025-09-09T14:19:00.7764896Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_521", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-09T14:19:00.7765948Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:19:00.7766132Z strides: [64, 1], [32, 1] 2025-09-09T14:19:00.7766317Z dtypes: torch.float32, torch.float32 2025-09-09T14:19:06.2761073Z triton_mm_521 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:06.2762124Z triton_mm_515 0.0064 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:06.2763120Z triton_mm_513 0.0065 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2764104Z triton_mm_514 0.0065 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:06.2765531Z triton_mm_520 0.0065 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:06.2766518Z triton_mm_519 0.0067 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:06.2767468Z triton_mm_518 0.0067 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:06.2768421Z triton_mm_517 0.0069 ms 91.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2769380Z triton_mm_516 0.0081 ms 78.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2770323Z triton_mm_512 0.0082 ms 76.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:19:06.2771116Z SingleProcess AUTOTUNE benchmarking takes 0.1317 seconds and 0.2501 seconds precompiling for 11 choices 2025-09-09T14:19:06.2771574Z Autotune Choices Stats: 2025-09-09T14:19:06.2772450Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_524", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.00598399993032217, "best_triton_pos": 0} 2025-09-09T14:19:06.2773441Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:19:06.2773647Z strides: [32, 1], [32, 1] 2025-09-09T14:19:06.2773860Z dtypes: torch.float32, torch.float32 2025-09-09T14:19:06.2774437Z triton_mm_524 0.0060 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:06.2775480Z triton_mm_526 0.0060 ms 98.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:06.2776376Z triton_mm_527 0.0061 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:06.2777251Z triton_mm_523 0.0061 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2778767Z triton_mm_522 0.0065 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:19:06.2779669Z triton_mm_525 0.0066 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2780234Z mm 0.0105 ms 57.0% 2025-09-09T14:19:06.2780646Z SingleProcess AUTOTUNE benchmarking takes 0.0819 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:19:06.2781318Z PASSED 2025-09-09T14:19:06.2781752Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_4_cuda Autotune Choices Stats: 2025-09-09T14:19:06.2782753Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_531", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.005824000108987093, "best_triton_pos": 0} 2025-09-09T14:19:06.2783509Z AUTOTUNE mm(32x64, 64x32) 2025-09-09T14:19:06.2783700Z strides: [64, 1], [32, 1] 2025-09-09T14:19:06.2783889Z dtypes: torch.float16, torch.float16 2025-09-09T14:19:06.2784425Z triton_mm_531 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:06.2785344Z triton_mm_537 0.0058 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:06.2786091Z triton_mm_536 0.0059 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:06.2786847Z triton_mm_534 0.0059 ms 98.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:06.2787614Z triton_mm_529 0.0060 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2788350Z triton_mm_530 0.0060 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:06.2789105Z triton_mm_535 0.0060 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:06.2789852Z triton_mm_533 0.0065 ms 89.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2790325Z mm 0.0067 ms 87.1% 2025-09-09T14:19:06.2790777Z triton_mm_528 0.0073 ms 80.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:19:06.2791458Z SingleProcess AUTOTUNE benchmarking takes 0.1292 seconds and 0.1523 seconds precompiling for 11 choices 2025-09-09T14:19:06.2791863Z Autotune Choices Stats: 2025-09-09T14:19:06.2792684Z {"num_choices": 7, "num_triton_choices": 6, "best_kernel": "triton_mm_542", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.00559999980032444, "best_triton_pos": 0} 2025-09-09T14:19:06.2793431Z AUTOTUNE mm(32x32, 32x32) 2025-09-09T14:19:06.2793610Z strides: [32, 1], [32, 1] 2025-09-09T14:19:06.2793790Z dtypes: torch.float16, torch.float16 2025-09-09T14:19:06.2794447Z triton_mm_542 0.0056 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:06.2795475Z triton_mm_540 0.0056 ms 99.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:06.2796229Z triton_mm_539 0.0057 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2796987Z triton_mm_543 0.0057 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:19:06.2797734Z triton_mm_538 0.0062 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:19:06.2798497Z triton_mm_541 0.0063 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:06.2798977Z mm 0.0065 ms 85.8% 2025-09-09T14:19:06.2799319Z SingleProcess AUTOTUNE benchmarking takes 0.0805 seconds and 0.0002 seconds precompiling for 7 choices 2025-09-09T14:19:06.2799748Z PASSED 2025-09-09T14:19:06.2800212Z test/integration/test_integration.py::TestSaveLoadMeta::test_save_load_int8woqtensors_5_cuda PASSED 2025-09-09T14:19:06.2800847Z test/integration/test_integration.py::TorchCompileUnitTest::test_fullgraph PASSED 2025-09-09T14:19:06.2801399Z test/integration/test_integration.py::UtilsUnitTest::test_shape_logger PASSED 2025-09-09T14:19:06.2802057Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_non_dynamically_quantizable_linear SKIPPED 2025-09-09T14:19:06.2802692Z test/integration/test_integration.py::SmoothquantIntegrationTest::test_on_dummy_distilbert 2025-09-09T14:19:06.2803090Z tokenizer_config.json: 0% 0.00/48.0 [00:00>time: 0.011ms for , to_beat: infms 2025-09-09T14:19:30.4768269Z Autotune Choices Stats: 2025-09-09T14:19:30.4769193Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_581", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.007135999854654074, "best_triton_pos": 0} 2025-09-09T14:19:30.4770124Z AUTOTUNE mm(32x128, 128x128) 2025-09-09T14:19:30.4770315Z strides: [128, 1], [128, 1] 2025-09-09T14:19:30.4770511Z dtypes: torch.float32, torch.float32 2025-09-09T14:19:30.4771028Z triton_mm_581 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:30.4771818Z triton_mm_578 0.0075 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:30.4772603Z triton_mm_580 0.0076 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:30.4773380Z triton_mm_590 0.0086 ms 83.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:30.4774156Z triton_mm_584 0.0086 ms 82.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:19:30.4775117Z triton_mm_579 0.0089 ms 80.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:19:30.4775984Z triton_mm_591 0.0090 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:19:30.4776772Z triton_mm_585 0.0091 ms 78.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:30.4777555Z triton_mm_583 0.0097 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:30.4778356Z triton_mm_586 0.0102 ms 69.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:30.4779053Z SingleProcess AUTOTUNE benchmarking takes 0.2183 seconds and 1.8078 seconds precompiling for 18 choices 2025-09-09T14:19:30.4779699Z >>time: 0.011ms for , to_beat: 0.011ms 2025-09-09T14:19:30.4780415Z >>time: 0.006ms for , to_beat: 0.011ms 2025-09-09T14:19:30.4780872Z Autotune Choices Stats: 2025-09-09T14:19:30.4781646Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_599", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006335999816656113, "best_triton_pos": 0} 2025-09-09T14:19:30.4782411Z AUTOTUNE int_mm(32x128, 128x128) 2025-09-09T14:19:30.4782604Z strides: [128, 1], [1, 128] 2025-09-09T14:19:30.4782796Z dtypes: torch.int8, torch.int8 2025-09-09T14:19:30.4783272Z triton_mm_599 0.0063 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:30.4784034Z triton_mm_602 0.0065 ms 97.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:19:30.4784922Z triton_mm_598 0.0065 ms 97.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:19:30.4785942Z triton_mm_600 0.0067 ms 94.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:19:54.3398767Z triton_mm_603 0.0067 ms 94.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:19:54.3399848Z triton_mm_596 0.0068 ms 93.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:54.3400819Z triton_mm_597 0.0070 ms 90.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:19:54.3401428Z _int_mm 0.0071 ms 89.2% 2025-09-09T14:19:54.3402038Z triton_mm_595 0.0072 ms 87.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:54.3402980Z triton_mm_594 0.0076 ms 83.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:54.3403979Z SingleProcess AUTOTUNE benchmarking takes 0.1331 seconds and 0.2583 seconds precompiling for 11 choices 2025-09-09T14:19:54.3404890Z >>time: 0.006ms for matmul, to_beat: 0.006ms 2025-09-09T14:19:54.3406102Z best_cls= 2025-09-09T14:19:54.3406542Z 2025-09-09T14:19:54.3406819Z PASSED 2025-09-09T14:19:54.3407400Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_12_cuda SKIPPED 2025-09-09T14:19:54.3408255Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_13_cuda SKIPPED 2025-09-09T14:19:54.3409161Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_14_cuda activation_shapes: torch.Size([32, 128]), times_seen: 2 2025-09-09T14:19:54.3409987Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:19:54.3410437Z Autotune Choices Stats: 2025-09-09T14:19:54.3411464Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_612", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006335999816656113, "best_triton_pos": 0} 2025-09-09T14:19:54.3412535Z AUTOTUNE addmm(32x128, 32x128, 128x128) 2025-09-09T14:19:54.3412815Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:19:54.3413120Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:19:54.3413866Z triton_mm_612 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:54.3414712Z triton_mm_607 0.0066 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:54.3415626Z triton_mm_611 0.0067 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:19:54.3416399Z triton_mm_605 0.0070 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:54.3417174Z triton_mm_608 0.0070 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:54.3418580Z triton_mm_606 0.0070 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:19:54.3419385Z triton_mm_615 0.0071 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:54.3420163Z triton_mm_618 0.0071 ms 88.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:19:54.3420939Z triton_mm_620 0.0073 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:19:54.3421701Z triton_mm_617 0.0074 ms 86.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:54.3422400Z SingleProcess AUTOTUNE benchmarking takes 0.2278 seconds and 0.3495 seconds precompiling for 19 choices 2025-09-09T14:19:54.3422989Z >>time: 0.006ms for , to_beat: infms 2025-09-09T14:19:54.3423369Z Autotune Choices Stats: 2025-09-09T14:19:54.3424131Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_629", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-09T14:19:54.3424902Z AUTOTUNE mm(32x128, 128x128) 2025-09-09T14:19:54.3425206Z strides: [128, 1], [128, 1] 2025-09-09T14:19:54.3425409Z dtypes: torch.float16, torch.float16 2025-09-09T14:19:54.3425920Z triton_mm_629 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:54.3426751Z triton_mm_624 0.0064 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:54.3427522Z triton_mm_623 0.0065 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:19:54.3428278Z triton_mm_628 0.0066 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:19:54.3429045Z triton_mm_631 0.0067 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:19:54.3429824Z triton_mm_632 0.0067 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:54.3430587Z triton_mm_635 0.0067 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:19:54.3431360Z triton_mm_625 0.0067 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:19:54.3432211Z triton_mm_634 0.0067 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:19:54.3432974Z triton_mm_622 0.0067 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:19:54.3433651Z SingleProcess AUTOTUNE benchmarking takes 0.2104 seconds and 0.2969 seconds precompiling for 18 choices 2025-09-09T14:19:54.3434585Z >>time: 0.007ms for , to_beat: 0.006ms 2025-09-09T14:19:54.3435437Z >>time: 0.006ms for , to_beat: 0.006ms 2025-09-09T14:19:54.3436166Z >>time: 0.007ms for matmul, to_beat: 0.006ms 2025-09-09T14:19:54.3436815Z best_cls= 2025-09-09T14:19:54.3437141Z 2025-09-09T14:19:54.3437241Z PASSED 2025-09-09T14:19:54.3437671Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_15_cuda SKIPPED 2025-09-09T14:19:54.3438282Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_16_cuda SKIPPED 2025-09-09T14:19:54.3438949Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_compile_17_cuda activation_shapes: torch.Size([32, 128]), times_seen: 2 2025-09-09T14:19:54.3439568Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:19:54.3439901Z Autotune Choices Stats: 2025-09-09T14:19:54.3440668Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_656", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0063680000603199005, "best_triton_pos": 0} 2025-09-09T14:19:54.3441459Z AUTOTUNE addmm(32x128, 32x128, 128x128) 2025-09-09T14:19:54.3441670Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:19:54.3441911Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:19:54.3442468Z triton_mm_656 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:22.8213779Z triton_mm_651 0.0065 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:22.8214745Z triton_mm_655 0.0066 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:20:22.8215816Z triton_mm_658 0.0070 ms 91.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:20:22.8216710Z triton_mm_652 0.0070 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:22.8217589Z triton_mm_662 0.0070 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:20:22.8218478Z triton_mm_649 0.0071 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:20:22.8219357Z triton_mm_661 0.0071 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:22.8220226Z triton_mm_650 0.0071 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:20:22.8221094Z triton_mm_664 0.0071 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:20:22.8221891Z SingleProcess AUTOTUNE benchmarking takes 0.2287 seconds and 0.3427 seconds precompiling for 19 choices 2025-09-09T14:20:22.8223191Z >>time: 0.006ms for , to_beat: infms 2025-09-09T14:20:22.8223647Z Autotune Choices Stats: 2025-09-09T14:20:22.8224514Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_668", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006399999838322401, "best_triton_pos": 0} 2025-09-09T14:20:22.8225549Z AUTOTUNE mm(32x128, 128x128) 2025-09-09T14:20:22.8225775Z strides: [128, 1], [128, 1] 2025-09-09T14:20:22.8226012Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:20:22.8226604Z triton_mm_668 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:22.8227502Z triton_mm_672 0.0066 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:20:22.8228392Z triton_mm_673 0.0066 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:22.8229266Z triton_mm_678 0.0067 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:22.8230145Z triton_mm_676 0.0068 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:22.8231025Z triton_mm_667 0.0068 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:20:22.8231977Z triton_mm_679 0.0068 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:20:22.8232486Z mm 0.0070 ms 91.7% 2025-09-09T14:20:22.8232936Z triton_mm_666 0.0071 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:20:22.8233706Z triton_mm_675 0.0072 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:20:22.8234381Z SingleProcess AUTOTUNE benchmarking takes 0.2105 seconds and 0.3010 seconds precompiling for 18 choices 2025-09-09T14:20:22.8235151Z >>time: 0.007ms for , to_beat: 0.006ms 2025-09-09T14:20:22.8235855Z >>time: 0.006ms for , to_beat: 0.006ms 2025-09-09T14:20:22.8236580Z >>time: 0.006ms for matmul, to_beat: 0.006ms 2025-09-09T14:20:22.8237243Z best_cls= 2025-09-09T14:20:22.8237565Z 2025-09-09T14:20:22.8237830Z PASSED 2025-09-09T14:20:22.8238276Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_0_cpu SKIPPED 2025-09-09T14:20:22.8238922Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_1_cpu SKIPPED 2025-09-09T14:20:22.8239547Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_2_cpu SKIPPED 2025-09-09T14:20:22.8240225Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_3_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:20:22.8240845Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:20:22.8241452Z Autotune Choices Stats: 2025-09-09T14:20:22.8242440Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.007807999849319458, "best_triton_pos": 1, "best_triton_time": 0.00863999966531992, "best_triton_kernel": "triton_mm_696", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-09T14:20:22.8243422Z AUTOTUNE addmm(16x128, 16x128, 128x128) 2025-09-09T14:20:22.8243631Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:20:22.8243870Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:20:22.8244111Z bias_addmm 0.0078 ms 100.0% 2025-09-09T14:20:22.8244602Z triton_mm_696 0.0086 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:20:22.8245705Z triton_mm_693 0.0090 ms 86.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:20:22.8246489Z triton_mm_695 0.0093 ms 83.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:20:22.8247267Z triton_mm_700 0.0112 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:22.8248032Z triton_mm_699 0.0113 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:22.8248791Z triton_mm_694 0.0115 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:22.8249551Z triton_mm_705 0.0115 ms 67.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:22.8250304Z triton_mm_706 0.0116 ms 67.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:20:22.8251064Z triton_mm_698 0.0128 ms 60.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:20:22.8251748Z SingleProcess AUTOTUNE benchmarking takes 0.2426 seconds and 1.7355 seconds precompiling for 19 choices 2025-09-09T14:20:22.8252308Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:20:22.8252698Z Autotune Choices Stats: 2025-09-09T14:20:22.8253451Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_713", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.007104000076651573, "best_triton_pos": 0} 2025-09-09T14:20:22.8254217Z AUTOTUNE mm(16x128, 128x128) 2025-09-09T14:20:22.8254406Z strides: [128, 1], [128, 1] 2025-09-09T14:20:22.8254597Z dtypes: torch.float32, torch.float32 2025-09-09T14:20:22.8255228Z triton_mm_713 0.0071 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:20:39.8204339Z triton_mm_717 0.0073 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:39.8205754Z triton_mm_710 0.0073 ms 97.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:20:39.8207410Z triton_mm_716 0.0076 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8208381Z triton_mm_712 0.0079 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:20:39.8209329Z triton_mm_723 0.0079 ms 89.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:20:39.8210276Z triton_mm_711 0.0080 ms 88.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:39.8211221Z triton_mm_722 0.0082 ms 86.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8212184Z triton_mm_718 0.0084 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8213148Z triton_mm_720 0.0087 ms 81.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8213984Z SingleProcess AUTOTUNE benchmarking takes 0.2098 seconds and 0.7208 seconds precompiling for 18 choices 2025-09-09T14:20:39.8214806Z >>time: 0.009ms for , to_beat: 0.007ms 2025-09-09T14:20:39.8215841Z >>time: 0.006ms for , to_beat: 0.007ms 2025-09-09T14:20:39.8216424Z Autotune Choices Stats: 2025-09-09T14:20:39.8217265Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_731", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-09T14:20:39.8218061Z AUTOTUNE int_mm(16x128, 128x128) 2025-09-09T14:20:39.8218260Z strides: [128, 1], [1, 128] 2025-09-09T14:20:39.8218455Z dtypes: torch.int8, torch.int8 2025-09-09T14:20:39.8218954Z triton_mm_731 0.0061 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:20:39.8219717Z triton_mm_732 0.0062 ms 98.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:39.8220457Z triton_mm_730 0.0063 ms 97.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:20:39.8221206Z triton_mm_734 0.0063 ms 97.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8229803Z triton_mm_728 0.0064 ms 96.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8230675Z triton_mm_735 0.0066 ms 93.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:20:39.8231473Z triton_mm_727 0.0067 ms 92.3% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8232547Z triton_mm_726 0.0071 ms 86.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:20:39.8233497Z triton_mm_729 0.0073 ms 84.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:20:39.8234281Z triton_mm_733 0.0075 ms 81.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:20:39.8235111Z SingleProcess AUTOTUNE benchmarking takes 0.1190 seconds and 0.2436 seconds precompiling for 11 choices 2025-09-09T14:20:39.8235788Z >>time: 0.006ms for matmul, to_beat: 0.006ms 2025-09-09T14:20:39.8236469Z best_cls= 2025-09-09T14:20:39.8236805Z 2025-09-09T14:20:39.8237073Z PASSED 2025-09-09T14:20:39.8237580Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_4_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:20:39.8238222Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:20:39.8238550Z Autotune Choices Stats: 2025-09-09T14:20:39.8239312Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_739", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006496000103652477, "best_triton_pos": 0} 2025-09-09T14:20:39.8240086Z AUTOTUNE addmm(16x128, 16x128, 128x128) 2025-09-09T14:20:39.8240309Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:20:39.8240548Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:20:39.8241098Z triton_mm_739 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:20:39.8241901Z triton_mm_738 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:39.8242663Z triton_mm_743 0.0069 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8243455Z triton_mm_747 0.0071 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8244225Z triton_mm_750 0.0071 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:20:39.8245157Z triton_mm_749 0.0072 ms 90.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:20:39.8246087Z triton_mm_752 0.0072 ms 89.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:20:39.8246864Z triton_mm_744 0.0073 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:39.8247621Z triton_mm_746 0.0074 ms 87.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:20:39.8248112Z bias_addmm 0.0075 ms 87.1% 2025-09-09T14:20:39.8248497Z SingleProcess AUTOTUNE benchmarking takes 0.2346 seconds and 0.3005 seconds precompiling for 19 choices 2025-09-09T14:20:39.8249099Z >>time: 0.006ms for , to_beat: infms 2025-09-09T14:20:39.8249505Z Autotune Choices Stats: 2025-09-09T14:20:39.8250569Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_756", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006496000103652477, "best_triton_pos": 0} 2025-09-09T14:20:39.8251348Z AUTOTUNE mm(16x128, 128x128) 2025-09-09T14:20:39.8251545Z strides: [128, 1], [128, 1] 2025-09-09T14:20:39.8251741Z dtypes: torch.float16, torch.float16 2025-09-09T14:20:39.8252262Z triton_mm_756 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:20:39.8253035Z triton_mm_755 0.0066 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:20:39.8253804Z triton_mm_760 0.0067 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8090369Z triton_mm_767 0.0067 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:02.8091497Z triton_mm_769 0.0068 ms 94.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:02.8092555Z triton_mm_761 0.0069 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:02.8093822Z triton_mm_763 0.0070 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:02.8095378Z triton_mm_766 0.0070 ms 92.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8096493Z triton_mm_764 0.0071 ms 91.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8097158Z mm 0.0072 ms 90.6% 2025-09-09T14:21:02.8097631Z SingleProcess AUTOTUNE benchmarking takes 0.2160 seconds and 0.2831 seconds precompiling for 18 choices 2025-09-09T14:21:02.8098509Z >>time: 0.007ms for , to_beat: 0.006ms 2025-09-09T14:21:02.8099463Z >>time: 0.006ms for , to_beat: 0.006ms 2025-09-09T14:21:02.8100436Z >>time: 0.006ms for matmul, to_beat: 0.006ms 2025-09-09T14:21:02.8101331Z best_cls= 2025-09-09T14:21:02.8101767Z 2025-09-09T14:21:02.8102065Z PASSED 2025-09-09T14:21:02.8102715Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_double_access_5_cuda activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:21:02.8103433Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:21:02.8103761Z Autotune Choices Stats: 2025-09-09T14:21:02.8104512Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_787", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-09T14:21:02.8105422Z AUTOTUNE addmm(16x128, 16x128, 128x128) 2025-09-09T14:21:02.8105650Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:21:02.8106313Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:21:02.8107128Z triton_mm_787 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8107930Z triton_mm_783 0.0064 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:21:02.8108724Z triton_mm_782 0.0066 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:02.8109505Z triton_mm_796 0.0066 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:02.8110277Z triton_mm_791 0.0067 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8111046Z triton_mm_794 0.0068 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:02.8111908Z triton_mm_788 0.0070 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:02.8112686Z triton_mm_793 0.0070 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8113454Z triton_mm_790 0.0070 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:02.8113951Z bias_addmm 0.0071 ms 88.7% 2025-09-09T14:21:02.8114363Z SingleProcess AUTOTUNE benchmarking takes 0.2276 seconds and 0.3120 seconds precompiling for 19 choices 2025-09-09T14:21:02.8115063Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:21:02.8115463Z Autotune Choices Stats: 2025-09-09T14:21:02.8116219Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_804", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006304000038653612, "best_triton_pos": 0} 2025-09-09T14:21:02.8116990Z AUTOTUNE mm(16x128, 128x128) 2025-09-09T14:21:02.8117183Z strides: [128, 1], [128, 1] 2025-09-09T14:21:02.8117379Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:21:02.8117918Z triton_mm_804 0.0063 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8118714Z triton_mm_811 0.0064 ms 98.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:02.8119485Z triton_mm_800 0.0064 ms 98.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:21:02.8120253Z triton_mm_810 0.0065 ms 96.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8121027Z triton_mm_799 0.0066 ms 95.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:02.8121798Z triton_mm_808 0.0067 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:02.8122863Z triton_mm_807 0.0068 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:02.8123655Z triton_mm_813 0.0068 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:02.8124145Z mm 0.0070 ms 90.0% 2025-09-09T14:21:02.8124590Z triton_mm_805 0.0070 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:02.8125402Z SingleProcess AUTOTUNE benchmarking takes 0.2126 seconds and 0.2942 seconds precompiling for 18 choices 2025-09-09T14:21:02.8126037Z >>time: 0.007ms for , to_beat: 0.007ms 2025-09-09T14:21:02.8126745Z >>time: 0.006ms for , to_beat: 0.007ms 2025-09-09T14:21:02.8127476Z >>time: 0.006ms for matmul, to_beat: 0.006ms 2025-09-09T14:21:02.8128126Z best_cls= 2025-09-09T14:21:02.8128452Z 2025-09-09T14:21:02.8128560Z PASSED 2025-09-09T14:21:02.8128978Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_0_cpu SKIPPED 2025-09-09T14:21:02.8129580Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_1_cpu SKIPPED 2025-09-09T14:21:02.8130172Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_2_cpu SKIPPED 2025-09-09T14:21:02.8130763Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_3_cuda SKIPPED 2025-09-09T14:21:02.8131364Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_4_cuda SKIPPED 2025-09-09T14:21:02.8131959Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_float8_5_cuda SKIPPED 2025-09-09T14:21:02.8132596Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_hp_float activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:21:02.8133192Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:21:02.8133685Z >>time: 0.008ms for , to_beat: infms 2025-09-09T14:21:02.8134188Z best_cls= 2025-09-09T14:21:02.8134439Z 2025-09-09T14:21:02.8134557Z activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:21:02.8134920Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:21:02.8135529Z >>time: 0.015ms for , to_beat: infms 2025-09-09T14:21:16.1913192Z best_cls= 2025-09-09T14:21:16.1913764Z 2025-09-09T14:21:16.1913999Z activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:21:16.1914726Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:21:16.1916152Z >>time: 0.015ms for , to_beat: infms 2025-09-09T14:21:16.1917111Z best_cls= 2025-09-09T14:21:16.1917420Z 2025-09-09T14:21:16.1917707Z PASSED 2025-09-09T14:21:16.1918227Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_0_cpu SKIPPED 2025-09-09T14:21:16.1918992Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_1_cpu SKIPPED 2025-09-09T14:21:16.1919731Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_2_cpu SKIPPED 2025-09-09T14:21:16.1921117Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_3_cuda SKIPPED 2025-09-09T14:21:16.1921877Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_4_cuda SKIPPED 2025-09-09T14:21:16.1922652Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_int4wo_5_cuda SKIPPED 2025-09-09T14:21:16.1923409Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_00_cpu SKIPPED 2025-09-09T14:21:16.1924151Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_01_cpu SKIPPED 2025-09-09T14:21:16.1924898Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_02_cpu SKIPPED 2025-09-09T14:21:16.1925791Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_03_cpu SKIPPED 2025-09-09T14:21:16.1926540Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_04_cpu SKIPPED 2025-09-09T14:21:16.1927268Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_05_cpu SKIPPED 2025-09-09T14:21:16.1927865Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_06_cpu SKIPPED 2025-09-09T14:21:16.1928480Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_07_cpu SKIPPED 2025-09-09T14:21:16.1929075Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_08_cpu SKIPPED 2025-09-09T14:21:16.1929672Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_09_cuda SKIPPED 2025-09-09T14:21:16.1930282Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_10_cuda SKIPPED 2025-09-09T14:21:16.1930876Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_11_cuda PASSED 2025-09-09T14:21:16.1931479Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_12_cuda SKIPPED 2025-09-09T14:21:16.1932086Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_13_cuda SKIPPED 2025-09-09T14:21:16.1932678Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_14_cuda PASSED 2025-09-09T14:21:16.1933280Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_15_cuda SKIPPED 2025-09-09T14:21:16.1933875Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_16_cuda SKIPPED 2025-09-09T14:21:16.1934473Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_kwargs_17_cuda PASSED 2025-09-09T14:21:16.1935207Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_0_cpu SKIPPED 2025-09-09T14:21:16.1935818Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_1_cpu SKIPPED 2025-09-09T14:21:16.1936412Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_2_cpu SKIPPED 2025-09-09T14:21:16.1937028Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_3_cuda PASSED 2025-09-09T14:21:16.1937619Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_4_cuda PASSED 2025-09-09T14:21:16.1938200Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_manual_5_cuda PASSED 2025-09-09T14:21:16.1938785Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_0_cpu SKIPPED 2025-09-09T14:21:16.1939364Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_1_cpu SKIPPED 2025-09-09T14:21:16.1939931Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_2_cpu SKIPPED 2025-09-09T14:21:16.1940558Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_3_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1 2025-09-09T14:21:16.1941327Z weight_shape: torch.Size([4096, 4096]), dtype: torch.float32, bias_shape: torch.Size([4096]) 2025-09-09T14:21:16.1941802Z Autotune Choices Stats: 2025-09-09T14:21:16.1942768Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.03948799893260002, "best_triton_pos": 2, "best_triton_time": 0.08310399949550629, "best_triton_kernel": "triton_mm_828", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-09T14:21:16.1943763Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096) 2025-09-09T14:21:16.1943983Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-09T14:21:16.1944224Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:21:16.1944474Z bias_addmm 0.0395 ms 100.0% 2025-09-09T14:21:16.1944662Z addmm 0.0418 ms 94.6% 2025-09-09T14:21:16.1945278Z triton_mm_828 0.0831 ms 47.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:21:16.1946082Z triton_mm_827 0.0932 ms 42.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:21:16.1946861Z triton_mm_825 0.1095 ms 36.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:21:16.1947633Z triton_mm_831 0.1541 ms 25.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:16.1948402Z triton_mm_832 0.1546 ms 25.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:16.1949169Z triton_mm_837 0.1557 ms 25.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:16.1949935Z triton_mm_838 0.1557 ms 25.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:16.1950694Z triton_mm_826 0.1560 ms 25.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:16.1951363Z SingleProcess AUTOTUNE benchmarking takes 0.5149 seconds and 1.1400 seconds precompiling for 19 choices 2025-09-09T14:21:16.1952024Z >>time: 0.041ms for , to_beat: infms 2025-09-09T14:21:16.1952659Z >>time: 0.013ms for , to_beat: 0.041ms 2025-09-09T14:21:16.1953362Z >>time: 0.013ms for , to_beat: 0.013ms 2025-09-09T14:21:16.1953837Z Autotune Choices Stats: 2025-09-09T14:21:16.1954591Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_851", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.023104000836610794, "best_triton_pos": 0} 2025-09-09T14:21:16.1955483Z AUTOTUNE int_mm(1x4096, 4096x4096) 2025-09-09T14:21:16.1955690Z strides: [4096, 1], [1, 4096] 2025-09-09T14:21:16.1955879Z dtypes: torch.int8, torch.int8 2025-09-09T14:21:16.1956369Z triton_mm_851 0.0231 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:21:16.1957146Z triton_mm_850 0.0266 ms 86.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=256, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:21:16.1958180Z triton_mm_846 0.0303 ms 76.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:21:16.1958934Z triton_mm_847 0.0322 ms 71.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:16.1959672Z triton_mm_849 0.0323 ms 71.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:16.1960416Z triton_mm_845 0.0339 ms 68.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:16.1961182Z triton_mm_843 0.0512 ms 45.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:45.1901810Z triton_mm_842 0.0563 ms 41.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:45.1903449Z triton_mm_841 0.0703 ms 32.9% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:21:45.1905321Z triton_mm_844 0.0792 ms 29.2% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:45.1906098Z SingleProcess AUTOTUNE benchmarking takes 0.1499 seconds and 0.3249 seconds precompiling for 12 choices 2025-09-09T14:21:45.1906881Z >>time: 0.024ms for matmul, to_beat: 0.013ms 2025-09-09T14:21:45.1907652Z best_cls= 2025-09-09T14:21:45.1908055Z 2025-09-09T14:21:45.1908336Z PASSED 2025-09-09T14:21:45.1908860Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_4_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1 2025-09-09T14:21:45.1909549Z weight_shape: torch.Size([4096, 4096]), dtype: torch.float16, bias_shape: torch.Size([4096]) 2025-09-09T14:21:45.1909946Z Autotune Choices Stats: 2025-09-09T14:21:45.1911072Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.022175999358296394, "best_triton_pos": 2, "best_triton_time": 0.024383999407291412, "best_triton_kernel": "triton_mm_860", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4"} 2025-09-09T14:21:45.1912311Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096) 2025-09-09T14:21:45.1912553Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-09T14:21:45.1912828Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:21:45.1913104Z bias_addmm 0.0222 ms 100.0% 2025-09-09T14:21:45.1913334Z addmm 0.0244 ms 91.1% 2025-09-09T14:21:45.1913864Z triton_mm_860 0.0244 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:45.1914767Z triton_mm_856 0.0270 ms 82.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:21:45.1915742Z triton_mm_864 0.0284 ms 78.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:45.1916506Z triton_mm_868 0.0307 ms 72.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:45.1917966Z triton_mm_859 0.0399 ms 55.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:45.1918740Z triton_mm_853 0.0417 ms 53.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:21:45.1919502Z triton_mm_863 0.0418 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:45.1920249Z triton_mm_854 0.0422 ms 52.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:45.1920906Z SingleProcess AUTOTUNE benchmarking takes 0.2828 seconds and 0.4438 seconds precompiling for 19 choices 2025-09-09T14:21:45.1921472Z >>time: 0.022ms for , to_beat: infms 2025-09-09T14:21:45.1922101Z >>time: 0.013ms for , to_beat: 0.022ms 2025-09-09T14:21:45.1922790Z >>time: 0.013ms for , to_beat: 0.013ms 2025-09-09T14:21:45.1923497Z >>time: 0.024ms for matmul, to_beat: 0.013ms 2025-09-09T14:21:45.1924152Z best_cls= 2025-09-09T14:21:45.1924467Z 2025-09-09T14:21:45.1924567Z PASSED 2025-09-09T14:21:45.1925162Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_mha_5_cuda activation_shapes: torch.Size([1, 4096]), times_seen: 1 2025-09-09T14:21:45.1925765Z weight_shape: torch.Size([4096, 4096]), dtype: torch.bfloat16, bias_shape: torch.Size([4096]) 2025-09-09T14:21:45.1926098Z Autotune Choices Stats: 2025-09-09T14:21:45.1926852Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_888", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.02396799996495247, "best_triton_pos": 0} 2025-09-09T14:21:45.1927610Z AUTOTUNE addmm(1x4096, 1x4096, 4096x4096) 2025-09-09T14:21:45.1927827Z strides: [0, 1], [4096, 1], [1, 4096] 2025-09-09T14:21:45.1928070Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:21:45.1928613Z triton_mm_888 0.0240 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:45.1929125Z bias_addmm 0.0259 ms 92.6% 2025-09-09T14:21:45.1929600Z triton_mm_884 0.0263 ms 91.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:21:45.1930376Z triton_mm_892 0.0285 ms 84.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:45.1930862Z addmm 0.0308 ms 77.8% 2025-09-09T14:21:45.1931307Z triton_mm_896 0.0309 ms 77.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:45.1932068Z triton_mm_887 0.0396 ms 60.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:45.1932809Z triton_mm_881 0.0411 ms 58.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:21:45.1933726Z triton_mm_891 0.0417 ms 57.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:45.1934602Z triton_mm_882 0.0421 ms 57.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:45.1935517Z SingleProcess AUTOTUNE benchmarking takes 0.2835 seconds and 0.4126 seconds precompiling for 19 choices 2025-09-09T14:21:45.1936087Z >>time: 0.024ms for , to_beat: infms 2025-09-09T14:21:45.1936709Z >>time: 0.013ms for , to_beat: 0.024ms 2025-09-09T14:21:45.1937392Z >>time: 0.013ms for , to_beat: 0.013ms 2025-09-09T14:21:45.1938107Z >>time: 0.024ms for matmul, to_beat: 0.013ms 2025-09-09T14:21:45.1938756Z best_cls= 2025-09-09T14:21:45.1939082Z 2025-09-09T14:21:45.1939173Z PASSED 2025-09-09T14:21:45.1939623Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_0_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:21:45.1940225Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:21:45.1940555Z Autotune Choices Stats: 2025-09-09T14:21:45.1941290Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_911", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.007519999984651804, "best_triton_pos": 0} 2025-09-09T14:21:45.1942048Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-09T14:21:45.1942263Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:21:45.1942501Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:21:45.1943024Z triton_mm_911 0.0075 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:45.1943769Z triton_mm_910 0.0076 ms 98.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:45.1944519Z triton_mm_915 0.0080 ms 94.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:21:45.1945407Z triton_mm_909 0.0082 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:21:48.5062398Z triton_mm_918 0.0088 ms 85.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:48.5064030Z triton_mm_919 0.0088 ms 85.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:48.5066031Z triton_mm_917 0.0089 ms 84.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:48.5067011Z triton_mm_914 0.0089 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:21:48.5067888Z triton_mm_922 0.0089 ms 84.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:48.5068469Z bias_addmm 0.0091 ms 83.0% 2025-09-09T14:21:48.5069594Z SingleProcess AUTOTUNE benchmarking takes 0.2405 seconds and 0.8061 seconds precompiling for 21 choices 2025-09-09T14:21:48.5070267Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:21:48.5071209Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 53.82154083251953 2025-09-09T14:21:48.5072491Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 54.00674819946289 2025-09-09T14:21:48.5073692Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 47.44119644165039 2025-09-09T14:21:48.5074550Z best_cls= 2025-09-09T14:21:48.5074838Z 2025-09-09T14:21:48.5075248Z PASSED 2025-09-09T14:21:48.5075794Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_1_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:21:48.5076493Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:21:48.5076832Z Autotune Choices Stats: 2025-09-09T14:21:48.5077576Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_930", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.00687999976798892, "best_triton_pos": 0} 2025-09-09T14:21:48.5078360Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-09T14:21:48.5078571Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:21:48.5078805Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:21:48.5079352Z triton_mm_930 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:48.5080119Z triton_mm_928 0.0069 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:21:48.5080904Z triton_mm_934 0.0070 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:21:48.5081645Z triton_mm_929 0.0071 ms 96.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:48.5082389Z triton_mm_938 0.0075 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:48.5083136Z triton_mm_936 0.0077 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:48.5083904Z triton_mm_939 0.0077 ms 89.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:48.5084658Z triton_mm_937 0.0078 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:48.5085528Z triton_mm_940 0.0078 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:48.5086283Z triton_mm_941 0.0078 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:48.5087103Z SingleProcess AUTOTUNE benchmarking takes 0.2547 seconds and 0.6167 seconds precompiling for 21 choices 2025-09-09T14:21:48.5087825Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:21:48.5088600Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 54.25 2025-09-09T14:21:48.5089571Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 54.40625 2025-09-09T14:21:48.5090542Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 48.0625 2025-09-09T14:21:48.5091256Z best_cls= 2025-09-09T14:21:48.5091507Z 2025-09-09T14:21:48.5091603Z PASSED 2025-09-09T14:21:48.5092073Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_min_sqnr_2_cuda activation_shapes: torch.Size([128, 128]), times_seen: 1 2025-09-09T14:21:48.5092689Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:21:48.5093018Z Autotune Choices Stats: 2025-09-09T14:21:48.5093774Z {"num_choices": 21, "num_triton_choices": 19, "best_kernel": "triton_mm_947", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.006976000033318996, "best_triton_pos": 0} 2025-09-09T14:21:48.5094560Z AUTOTUNE addmm(128x128, 128x128, 128x128) 2025-09-09T14:21:48.5094785Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:21:48.5095174Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:21:48.5095734Z triton_mm_947 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:21:48.5096526Z triton_mm_949 0.0070 ms 99.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:48.5097276Z triton_mm_948 0.0071 ms 98.2% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:21:48.5098017Z triton_mm_953 0.0072 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:21:48.5098769Z triton_mm_957 0.0075 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:48.5099515Z triton_mm_954 0.0076 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:48.5100282Z triton_mm_950 0.0077 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:21:48.5101043Z triton_mm_958 0.0077 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:21:48.5101791Z triton_mm_960 0.0077 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=128, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:21:48.5102560Z triton_mm_955 0.0078 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=True, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:21:48.5103251Z SingleProcess AUTOTUNE benchmarking takes 0.2557 seconds and 0.6240 seconds precompiling for 21 choices 2025-09-09T14:21:48.5104110Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:21:48.5104898Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 49.0 2025-09-09T14:21:48.5106050Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 48.75 2025-09-09T14:22:10.9476854Z skipping q_cls: because the sqnr is too small, minimum expected sqnr: 60, got 46.0 2025-09-09T14:22:10.9477766Z best_cls= 2025-09-09T14:22:10.9478085Z 2025-09-09T14:22:10.9478355Z PASSED 2025-09-09T14:22:10.9478808Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_00_cpu (m, k, n): (16, 128, 128) 2025-09-09T14:22:10.9479333Z SKIPPED 2025-09-09T14:22:10.9479761Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_01_cpu (m, k, n): (64, 128, 128) 2025-09-09T14:22:10.9480240Z SKIPPED 2025-09-09T14:22:10.9480664Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_02_cpu (m, k, n): (16, 128, 256) 2025-09-09T14:22:10.9481164Z SKIPPED 2025-09-09T14:22:10.9481568Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_03_cpu (m, k, n): (16, 256, 128) 2025-09-09T14:22:10.9482078Z SKIPPED 2025-09-09T14:22:10.9482511Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_04_cpu (m, k, n): (64, 256, 128) 2025-09-09T14:22:10.9483039Z SKIPPED 2025-09-09T14:22:10.9483481Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_05_cpu (m, k, n): (16, 128, 128) 2025-09-09T14:22:10.9484004Z SKIPPED 2025-09-09T14:22:10.9484442Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_06_cpu (m, k, n): (64, 128, 128) 2025-09-09T14:22:10.9485159Z SKIPPED 2025-09-09T14:22:10.9485614Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_07_cpu (m, k, n): (16, 128, 256) 2025-09-09T14:22:10.9486136Z SKIPPED 2025-09-09T14:22:10.9486585Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_08_cpu (m, k, n): (16, 256, 128) 2025-09-09T14:22:10.9487105Z SKIPPED 2025-09-09T14:22:10.9487545Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_09_cpu (m, k, n): (64, 256, 128) 2025-09-09T14:22:10.9488056Z SKIPPED 2025-09-09T14:22:10.9488505Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_10_cpu (m, k, n): (16, 128, 128) 2025-09-09T14:22:10.9489017Z SKIPPED 2025-09-09T14:22:10.9489444Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_11_cpu (m, k, n): (64, 128, 128) 2025-09-09T14:22:10.9489965Z SKIPPED 2025-09-09T14:22:10.9490397Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_12_cpu (m, k, n): (16, 128, 256) 2025-09-09T14:22:10.9490911Z SKIPPED 2025-09-09T14:22:10.9491340Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_13_cpu (m, k, n): (16, 256, 128) 2025-09-09T14:22:10.9491855Z SKIPPED 2025-09-09T14:22:10.9492295Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_14_cpu (m, k, n): (64, 256, 128) 2025-09-09T14:22:10.9492798Z SKIPPED 2025-09-09T14:22:10.9493153Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_15_cuda (m, k, n): (16, 128, 128) 2025-09-09T14:22:10.9493579Z PASSED 2025-09-09T14:22:10.9493942Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_16_cuda (m, k, n): (64, 128, 128) 2025-09-09T14:22:10.9494414Z activation_shapes: torch.Size([64, 128]), times_seen: 1 2025-09-09T14:22:10.9495454Z weight_shape: torch.Size([128, 128]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:22:10.9495802Z Autotune Choices Stats: 2025-09-09T14:22:10.9496553Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_966", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.011008000001311302, "best_triton_pos": 0} 2025-09-09T14:22:10.9497371Z AUTOTUNE addmm(64x128, 64x128, 128x128) 2025-09-09T14:22:10.9497595Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:22:10.9497834Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:22:10.9498402Z triton_mm_966 0.0110 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:10.9499204Z triton_mm_965 0.0151 ms 72.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:22:10.9499969Z triton_mm_967 0.0158 ms 69.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:22:10.9500734Z triton_mm_968 0.0162 ms 68.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:22:10.9501487Z triton_mm_978 0.0176 ms 62.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:10.9501979Z addmm 0.0177 ms 62.1% 2025-09-09T14:22:10.9502447Z triton_mm_971 0.0192 ms 57.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:10.9503212Z triton_mm_970 0.0212 ms 52.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:10.9503698Z bias_addmm 0.0215 ms 51.1% 2025-09-09T14:22:10.9504169Z triton_mm_974 0.0234 ms 47.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:10.9504850Z SingleProcess AUTOTUNE benchmarking takes 0.2958 seconds and 11.3630 seconds precompiling for 19 choices 2025-09-09T14:22:10.9505540Z >>time: 0.011ms for , to_beat: infms 2025-09-09T14:22:10.9505924Z Autotune Choices Stats: 2025-09-09T14:22:10.9506673Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_983", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.007391999941319227, "best_triton_pos": 0} 2025-09-09T14:22:10.9507444Z AUTOTUNE mm(64x128, 128x128) 2025-09-09T14:22:10.9507627Z strides: [128, 1], [128, 1] 2025-09-09T14:22:10.9507835Z dtypes: torch.float32, torch.float32 2025-09-09T14:22:10.9508342Z triton_mm_983 0.0074 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:10.9509121Z triton_mm_985 0.0088 ms 84.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:22:10.9509884Z triton_mm_984 0.0089 ms 83.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:22:10.9510777Z triton_mm_986 0.0094 ms 78.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:10.9511660Z triton_mm_995 0.0100 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:10.9512505Z triton_mm_989 0.0102 ms 72.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:22:10.9513258Z triton_mm_996 0.0102 ms 72.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:22:10.9513735Z mm 0.0111 ms 66.8% 2025-09-09T14:22:10.9514175Z triton_mm_988 0.0116 ms 63.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:10.9515049Z triton_mm_982 0.0118 ms 62.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:22:10.9515731Z SingleProcess AUTOTUNE benchmarking takes 0.2457 seconds and 4.6400 seconds precompiling for 18 choices 2025-09-09T14:22:10.9516371Z >>time: 0.013ms for , to_beat: 0.011ms 2025-09-09T14:22:10.9516834Z Autotune Choices Stats: 2025-09-09T14:22:10.9517566Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_1004", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.006432000081986189, "best_triton_pos": 0} 2025-09-09T14:22:10.9518342Z AUTOTUNE int_mm(64x128, 128x128) 2025-09-09T14:22:10.9518543Z strides: [128, 1], [1, 128] 2025-09-09T14:22:10.9518731Z dtypes: torch.int8, torch.int8 2025-09-09T14:22:10.9519220Z triton_mm_1004 0.0064 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:22:10.9519974Z triton_mm_1005 0.0065 ms 99.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:22:10.9520730Z triton_mm_1007 0.0066 ms 97.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:22:10.9521474Z triton_mm_1003 0.0069 ms 93.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:22:39.6322639Z triton_mm_1008 0.0070 ms 91.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:22:39.6323723Z triton_mm_1001 0.0071 ms 90.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6324342Z _int_mm 0.0073 ms 88.2% 2025-09-09T14:22:39.6324910Z triton_mm_999 0.0077 ms 83.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:39.6326057Z triton_mm_1000 0.0077 ms 83.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6327020Z triton_mm_1002 0.0081 ms 79.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:22:39.6327848Z SingleProcess AUTOTUNE benchmarking takes 0.1296 seconds and 0.3157 seconds precompiling for 11 choices 2025-09-09T14:22:39.6329278Z >>time: 0.008ms for matmul, to_beat: 0.011ms 2025-09-09T14:22:39.6330222Z >>time: 0.011ms for , to_beat: 0.025ms 2025-09-09T14:22:39.6331165Z >>time: 0.011ms for interpolated, breakeven constant: 0.80 2025-09-09T14:22:39.6331908Z best_cls= 2025-09-09T14:22:39.6332203Z 2025-09-09T14:22:39.6332484Z PASSED 2025-09-09T14:22:39.6332954Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_17_cuda (m, k, n): (16, 128, 256) 2025-09-09T14:22:39.6333483Z activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:22:39.6333903Z weight_shape: torch.Size([256, 128]), dtype: torch.float32, bias_shape: torch.Size([256]) 2025-09-09T14:22:39.6334288Z Autotune Choices Stats: 2025-09-09T14:22:39.6335548Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.007840000092983246, "best_triton_pos": 1, "best_triton_time": 0.00863999966531992, "best_triton_kernel": "triton_mm_1023", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-09T14:22:39.6336737Z AUTOTUNE addmm(16x256, 16x128, 128x256) 2025-09-09T14:22:39.6336974Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:22:39.6337229Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:22:39.6337527Z bias_addmm 0.0078 ms 100.0% 2025-09-09T14:22:39.6338078Z triton_mm_1023 0.0086 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:39.6338990Z triton_mm_1020 0.0088 ms 89.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:22:39.6339911Z triton_mm_1022 0.0092 ms 84.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:39.6340784Z triton_mm_1027 0.0109 ms 72.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:39.6341556Z triton_mm_1026 0.0109 ms 71.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6342330Z triton_mm_1033 0.0112 ms 70.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:22:39.6343109Z triton_mm_1032 0.0112 ms 69.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6343873Z triton_mm_1021 0.0114 ms 69.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:39.6344632Z triton_mm_1019 0.0131 ms 60.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:22:39.6345419Z SingleProcess AUTOTUNE benchmarking takes 0.2486 seconds and 1.8381 seconds precompiling for 19 choices 2025-09-09T14:22:39.6345994Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:22:39.6346394Z Autotune Choices Stats: 2025-09-09T14:22:39.6347303Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1040", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.007007999811321497, "best_triton_pos": 0} 2025-09-09T14:22:39.6348221Z AUTOTUNE mm(16x128, 128x256) 2025-09-09T14:22:39.6348403Z strides: [128, 1], [256, 1] 2025-09-09T14:22:39.6348598Z dtypes: torch.float32, torch.float32 2025-09-09T14:22:39.6349114Z triton_mm_1040 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:39.6349913Z triton_mm_1044 0.0072 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:39.6350697Z triton_mm_1037 0.0073 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:22:39.6351474Z triton_mm_1043 0.0073 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6352330Z triton_mm_1039 0.0075 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:39.6353091Z triton_mm_1049 0.0076 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6353848Z triton_mm_1038 0.0077 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:39.6354623Z triton_mm_1050 0.0077 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:22:39.6355521Z triton_mm_1045 0.0085 ms 82.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6356287Z triton_mm_1047 0.0085 ms 82.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6356973Z SingleProcess AUTOTUNE benchmarking takes 0.2112 seconds and 0.7501 seconds precompiling for 18 choices 2025-09-09T14:22:39.6357618Z >>time: 0.010ms for , to_beat: 0.007ms 2025-09-09T14:22:39.6358324Z >>time: 0.006ms for , to_beat: 0.007ms 2025-09-09T14:22:39.6358790Z Autotune Choices Stats: 2025-09-09T14:22:39.6359533Z {"num_choices": 12, "num_triton_choices": 11, "best_kernel": "triton_mm_1059", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006271999794989824, "best_triton_pos": 0} 2025-09-09T14:22:39.6360313Z AUTOTUNE int_mm(16x128, 128x256) 2025-09-09T14:22:39.6360515Z strides: [128, 1], [1, 128] 2025-09-09T14:22:39.6360700Z dtypes: torch.int8, torch.int8 2025-09-09T14:22:39.6361178Z triton_mm_1059 0.0063 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:39.6361938Z triton_mm_1061 0.0064 ms 98.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:39.6362838Z triton_mm_1063 0.0064 ms 98.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:22:39.6363746Z triton_mm_1058 0.0064 ms 97.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:39.6364492Z triton_mm_1057 0.0066 ms 95.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:22:57.5788223Z triton_mm_1054 0.0068 ms 92.9% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5789879Z triton_mm_1055 0.0068 ms 92.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5791471Z triton_mm_1062 0.0072 ms 87.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=256, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:22:57.5793169Z triton_mm_1053 0.0074 ms 84.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:57.5794664Z triton_mm_1056 0.0075 ms 83.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:22:57.5796267Z SingleProcess AUTOTUNE benchmarking takes 0.1295 seconds and 0.2593 seconds precompiling for 12 choices 2025-09-09T14:22:57.5797107Z >>time: 0.008ms for matmul, to_beat: 0.006ms 2025-09-09T14:22:57.5797932Z best_cls= 2025-09-09T14:22:57.5798333Z 2025-09-09T14:22:57.5798625Z PASSED 2025-09-09T14:22:57.5799121Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_18_cuda (m, k, n): (16, 256, 128) 2025-09-09T14:22:57.5799716Z activation_shapes: torch.Size([16, 256]), times_seen: 1 2025-09-09T14:22:57.5800153Z weight_shape: torch.Size([128, 256]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:22:57.5800562Z Autotune Choices Stats: 2025-09-09T14:22:57.5801778Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.008927999995648861, "best_triton_pos": 1, "best_triton_time": 0.011711999773979187, "best_triton_kernel": "triton_mm_1068", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2"} 2025-09-09T14:22:57.5803043Z AUTOTUNE addmm(16x128, 16x256, 256x128) 2025-09-09T14:22:57.5803298Z strides: [0, 1], [256, 1], [1, 256] 2025-09-09T14:22:57.5803576Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:22:57.5803877Z bias_addmm 0.0089 ms 100.0% 2025-09-09T14:22:57.5804515Z triton_mm_1068 0.0117 ms 76.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:57.5805638Z triton_mm_1065 0.0121 ms 73.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:22:57.5806480Z triton_mm_1067 0.0128 ms 69.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:57.5807237Z triton_mm_1077 0.0165 ms 54.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5808340Z triton_mm_1078 0.0166 ms 53.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:22:57.5809303Z triton_mm_1071 0.0168 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5810073Z triton_mm_1072 0.0168 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:57.5810822Z triton_mm_1066 0.0170 ms 52.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:57.5811581Z triton_mm_1070 0.0207 ms 43.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:22:57.5812257Z SingleProcess AUTOTUNE benchmarking takes 0.2325 seconds and 1.1425 seconds precompiling for 19 choices 2025-09-09T14:22:57.5812828Z >>time: 0.008ms for , to_beat: infms 2025-09-09T14:22:57.5813222Z Autotune Choices Stats: 2025-09-09T14:22:57.5813995Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1084", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.008895999751985073, "best_triton_pos": 0} 2025-09-09T14:22:57.5814781Z AUTOTUNE mm(16x256, 256x128) 2025-09-09T14:22:57.5815107Z strides: [256, 1], [128, 1] 2025-09-09T14:22:57.5815313Z dtypes: torch.float32, torch.float32 2025-09-09T14:22:57.5815835Z triton_mm_1084 0.0089 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:57.5816621Z triton_mm_1088 0.0091 ms 97.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5817404Z triton_mm_1083 0.0092 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:57.5818170Z triton_mm_1095 0.0092 ms 96.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:22:57.5818941Z triton_mm_1089 0.0092 ms 96.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:57.5819716Z triton_mm_1082 0.0094 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:22:57.5820492Z triton_mm_1094 0.0095 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5821263Z triton_mm_1085 0.0097 ms 91.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:57.5822043Z triton_mm_1092 0.0109 ms 81.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5822816Z triton_mm_1090 0.0110 ms 81.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5823505Z SingleProcess AUTOTUNE benchmarking takes 0.2068 seconds and 0.8710 seconds precompiling for 18 choices 2025-09-09T14:22:57.5824157Z >>time: 0.014ms for , to_beat: 0.008ms 2025-09-09T14:22:57.5825279Z >>time: 0.006ms for , to_beat: 0.008ms 2025-09-09T14:22:57.5825772Z Autotune Choices Stats: 2025-09-09T14:22:57.5826534Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_1107", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.006752000190317631, "best_triton_pos": 0} 2025-09-09T14:22:57.5827307Z AUTOTUNE int_mm(16x256, 256x128) 2025-09-09T14:22:57.5827506Z strides: [256, 1], [1, 256] 2025-09-09T14:22:57.5827705Z dtypes: torch.int8, torch.int8 2025-09-09T14:22:57.5828198Z triton_mm_1107 0.0068 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:22:57.5828982Z triton_mm_1106 0.0068 ms 98.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:22:57.5829743Z triton_mm_1103 0.0069 ms 98.1% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:22:57.5830501Z triton_mm_1104 0.0071 ms 94.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:22:57.5831251Z triton_mm_1102 0.0073 ms 93.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:22:57.5832092Z triton_mm_1100 0.0081 ms 83.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:14.9610944Z triton_mm_1099 0.0084 ms 80.8% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:14.9612040Z triton_mm_1098 0.0088 ms 76.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:14.9613020Z triton_mm_1101 0.0095 ms 71.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:14.9613999Z triton_mm_1105 0.0097 ms 69.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=8 2025-09-09T14:23:14.9614852Z SingleProcess AUTOTUNE benchmarking takes 0.1188 seconds and 0.2804 seconds precompiling for 11 choices 2025-09-09T14:23:14.9616164Z >>time: 0.008ms for matmul, to_beat: 0.006ms 2025-09-09T14:23:14.9617025Z best_cls= 2025-09-09T14:23:14.9617441Z 2025-09-09T14:23:14.9617735Z PASSED 2025-09-09T14:23:14.9618246Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_19_cuda (m, k, n): (64, 256, 128) 2025-09-09T14:23:14.9618832Z activation_shapes: torch.Size([64, 256]), times_seen: 1 2025-09-09T14:23:14.9619298Z weight_shape: torch.Size([128, 256]), dtype: torch.float32, bias_shape: torch.Size([128]) 2025-09-09T14:23:14.9619727Z Autotune Choices Stats: 2025-09-09T14:23:14.9621432Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "bias_addmm", "best_time": 0.014336000196635723, "best_triton_pos": 1, "best_triton_time": 0.01679999940097332, "best_triton_kernel": "triton_mm_1109", "best_triton_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4"} 2025-09-09T14:23:14.9622840Z AUTOTUNE addmm(64x128, 64x256, 256x128) 2025-09-09T14:23:14.9623073Z strides: [0, 1], [256, 1], [1, 256] 2025-09-09T14:23:14.9623332Z dtypes: torch.float32, torch.float32, torch.float32 2025-09-09T14:23:14.9623607Z bias_addmm 0.0143 ms 100.0% 2025-09-09T14:23:14.9624148Z triton_mm_1109 0.0168 ms 85.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:14.9624713Z addmm 0.0170 ms 84.2% 2025-09-09T14:23:14.9625363Z triton_mm_1108 0.0247 ms 58.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:23:14.9626254Z triton_mm_1110 0.0259 ms 55.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:14.9627155Z triton_mm_1111 0.0261 ms 55.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:14.9628035Z triton_mm_1112 0.0271 ms 52.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:14.9628926Z triton_mm_1121 0.0290 ms 49.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:14.9629803Z triton_mm_1114 0.0324 ms 44.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:14.9630681Z triton_mm_1113 0.0363 ms 39.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:14.9631356Z SingleProcess AUTOTUNE benchmarking takes 0.8100 seconds and 4.0093 seconds precompiling for 19 choices 2025-09-09T14:23:14.9632005Z >>time: 0.013ms for , to_beat: infms 2025-09-09T14:23:14.9632386Z Autotune Choices Stats: 2025-09-09T14:23:14.9633151Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1126", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4", "best_time": 0.009600000455975533, "best_triton_pos": 0} 2025-09-09T14:23:14.9633907Z AUTOTUNE mm(64x256, 256x128) 2025-09-09T14:23:14.9634094Z strides: [256, 1], [128, 1] 2025-09-09T14:23:14.9634289Z dtypes: torch.float32, torch.float32 2025-09-09T14:23:14.9634791Z triton_mm_1126 0.0096 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:14.9635686Z triton_mm_1128 0.0117 ms 82.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:14.9636438Z triton_mm_1127 0.0121 ms 79.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:14.9636911Z mm 0.0132 ms 72.8% 2025-09-09T14:23:14.9637355Z triton_mm_1129 0.0132 ms 72.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:14.9638105Z triton_mm_1138 0.0139 ms 69.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:14.9639018Z triton_mm_1132 0.0143 ms 67.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:23:14.9639907Z triton_mm_1139 0.0143 ms 67.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:14.9640667Z triton_mm_1131 0.0173 ms 55.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:14.9641419Z triton_mm_1125 0.0181 ms 53.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=16, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=1, num_warps=2 2025-09-09T14:23:14.9642084Z SingleProcess AUTOTUNE benchmarking takes 0.2024 seconds and 3.2539 seconds precompiling for 18 choices 2025-09-09T14:23:14.9642715Z >>time: 0.014ms for , to_beat: 0.013ms 2025-09-09T14:23:14.9643175Z Autotune Choices Stats: 2025-09-09T14:23:14.9643895Z {"num_choices": 11, "num_triton_choices": 10, "best_kernel": "triton_mm_1147", "best_kernel_desc": "ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.007327999919652939, "best_triton_pos": 0} 2025-09-09T14:23:14.9644660Z AUTOTUNE int_mm(64x256, 256x128) 2025-09-09T14:23:14.9644856Z strides: [256, 1], [1, 256] 2025-09-09T14:23:14.9645167Z dtypes: torch.int8, torch.int8 2025-09-09T14:23:14.9645649Z triton_mm_1147 0.0073 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:14.9646398Z triton_mm_1150 0.0073 ms 100.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:23:14.9647160Z triton_mm_1148 0.0074 ms 98.7% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:14.9647909Z triton_mm_1151 0.0075 ms 97.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:23:14.9648379Z _int_mm 0.0076 ms 95.8% 2025-09-09T14:23:14.9648830Z triton_mm_1146 0.0078 ms 93.5% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:14.9649566Z triton_mm_1144 0.0085 ms 86.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:14.9650316Z triton_mm_1145 0.0086 ms 85.4% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:14.9651060Z triton_mm_1143 0.0093 ms 79.0% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:14.9651797Z triton_mm_1142 0.0100 ms 73.6% ACC_TYPE='tl.int32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:14.9652461Z SingleProcess AUTOTUNE benchmarking takes 0.1312 seconds and 0.3511 seconds precompiling for 11 choices 2025-09-09T14:23:25.8932412Z >>time: 0.009ms for matmul, to_beat: 0.013ms 2025-09-09T14:23:25.8933407Z >>time: 0.012ms for , to_beat: 0.034ms 2025-09-09T14:23:25.8934809Z >>time: 0.012ms for interpolated, breakeven constant: 1.31 2025-09-09T14:23:25.8936316Z best_cls= 2025-09-09T14:23:25.8936705Z 2025-09-09T14:23:25.8936989Z PASSED 2025-09-09T14:23:25.8937446Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_20_cuda (m, k, n): (16, 128, 128) 2025-09-09T14:23:25.8937935Z PASSED 2025-09-09T14:23:25.8938352Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_21_cuda (m, k, n): (64, 128, 128) 2025-09-09T14:23:25.8938870Z activation_shapes: torch.Size([64, 128]), times_seen: 1 2025-09-09T14:23:25.8939287Z weight_shape: torch.Size([128, 128]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:23:25.8939666Z Autotune Choices Stats: 2025-09-09T14:23:25.8940521Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1164", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8", "best_time": 0.00684799998998642, "best_triton_pos": 0} 2025-09-09T14:23:25.8941434Z AUTOTUNE addmm(64x128, 64x128, 128x128) 2025-09-09T14:23:25.8941668Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:23:25.8941940Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:23:25.8942559Z triton_mm_1164 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:25.8943481Z triton_mm_1165 0.0069 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:25.8944347Z triton_mm_1169 0.0069 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:23:25.8945288Z triton_mm_1163 0.0070 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:25.8946094Z triton_mm_1173 0.0071 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:25.8946877Z triton_mm_1176 0.0072 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:25.8947630Z triton_mm_1175 0.0073 ms 93.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:25.8948116Z bias_addmm 0.0075 ms 91.8% 2025-09-09T14:23:25.8948587Z triton_mm_1170 0.0076 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:25.8949349Z triton_mm_1172 0.0076 ms 89.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:25.8950015Z SingleProcess AUTOTUNE benchmarking takes 0.2325 seconds and 0.4504 seconds precompiling for 19 choices 2025-09-09T14:23:25.8950597Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:23:25.8950977Z Autotune Choices Stats: 2025-09-09T14:23:25.8951718Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1192", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4", "best_time": 0.006591999903321266, "best_triton_pos": 0} 2025-09-09T14:23:25.8952590Z AUTOTUNE mm(64x128, 128x128) 2025-09-09T14:23:25.8952769Z strides: [128, 1], [128, 1] 2025-09-09T14:23:25.8953307Z dtypes: torch.float16, torch.float16 2025-09-09T14:23:25.8953828Z triton_mm_1192 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:25.8954597Z triton_mm_1186 0.0066 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:23:25.8955489Z triton_mm_1181 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:25.8956230Z triton_mm_1182 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:25.8956997Z triton_mm_1195 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:25.8957755Z triton_mm_1193 0.0067 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:25.8958499Z triton_mm_1190 0.0068 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:25.8959265Z triton_mm_1187 0.0069 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:25.8960022Z triton_mm_1180 0.0070 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:23:25.8960772Z triton_mm_1189 0.0070 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:25.8961438Z SingleProcess AUTOTUNE benchmarking takes 0.2172 seconds and 0.3641 seconds precompiling for 18 choices 2025-09-09T14:23:25.8962088Z >>time: 0.009ms for , to_beat: 0.007ms 2025-09-09T14:23:25.8962810Z >>time: 0.008ms for matmul, to_beat: 0.007ms 2025-09-09T14:23:25.8963395Z best_cls= 2025-09-09T14:23:25.8963647Z 2025-09-09T14:23:25.8963757Z PASSED 2025-09-09T14:23:25.8964132Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_22_cuda (m, k, n): (16, 128, 256) 2025-09-09T14:23:25.8964583Z activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:23:25.8965066Z weight_shape: torch.Size([256, 128]), dtype: torch.float16, bias_shape: torch.Size([256]) 2025-09-09T14:23:25.8965412Z Autotune Choices Stats: 2025-09-09T14:23:25.8966151Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1209", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006432000081986189, "best_triton_pos": 0} 2025-09-09T14:23:25.8966916Z AUTOTUNE addmm(16x256, 16x128, 128x256) 2025-09-09T14:23:25.8967121Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:23:25.8967367Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:23:25.8967891Z triton_mm_1209 0.0064 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:23:25.8968806Z triton_mm_1213 0.0066 ms 97.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:25.8969709Z triton_mm_1208 0.0067 ms 95.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:25.8970467Z triton_mm_1214 0.0069 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:25.8971228Z triton_mm_1220 0.0069 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:23:25.8971985Z triton_mm_1222 0.0069 ms 92.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:25.8972747Z triton_mm_1219 0.0070 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:25.8973535Z triton_mm_1217 0.0070 ms 91.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7830215Z triton_mm_1216 0.0071 ms 90.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:56.7831207Z triton_mm_1215 0.0073 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7832104Z SingleProcess AUTOTUNE benchmarking takes 0.2308 seconds and 0.3154 seconds precompiling for 19 choices 2025-09-09T14:23:56.7832829Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:23:56.7833351Z Autotune Choices Stats: 2025-09-09T14:23:56.7834292Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1226", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006144000217318535, "best_triton_pos": 0} 2025-09-09T14:23:56.7835537Z AUTOTUNE mm(16x128, 128x256) 2025-09-09T14:23:56.7835768Z strides: [128, 1], [256, 1] 2025-09-09T14:23:56.7835995Z dtypes: torch.float16, torch.float16 2025-09-09T14:23:56.7836619Z triton_mm_1226 0.0061 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:23:56.7837582Z triton_mm_1230 0.0062 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7838535Z triton_mm_1225 0.0063 ms 97.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:56.7839507Z triton_mm_1234 0.0065 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7840478Z triton_mm_1237 0.0065 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:23:56.7841432Z triton_mm_1231 0.0066 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:56.7842396Z triton_mm_1236 0.0066 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7843833Z triton_mm_1233 0.0066 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:23:56.7844615Z triton_mm_1239 0.0066 ms 93.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:56.7845544Z triton_mm_1232 0.0068 ms 90.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7846225Z SingleProcess AUTOTUNE benchmarking takes 0.2142 seconds and 0.2997 seconds precompiling for 18 choices 2025-09-09T14:23:56.7846860Z >>time: 0.008ms for , to_beat: 0.007ms 2025-09-09T14:23:56.7847565Z >>time: 0.006ms for , to_beat: 0.007ms 2025-09-09T14:23:56.7848301Z >>time: 0.008ms for matmul, to_beat: 0.006ms 2025-09-09T14:23:56.7848957Z best_cls= 2025-09-09T14:23:56.7849285Z 2025-09-09T14:23:56.7849558Z PASSED 2025-09-09T14:23:56.7849951Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_23_cuda (m, k, n): (16, 256, 128) 2025-09-09T14:23:56.7850417Z activation_shapes: torch.Size([16, 256]), times_seen: 1 2025-09-09T14:23:56.7850781Z weight_shape: torch.Size([128, 256]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:23:56.7851104Z Autotune Choices Stats: 2025-09-09T14:23:56.7851868Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1255", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.00684799998998642, "best_triton_pos": 0} 2025-09-09T14:23:56.7852655Z AUTOTUNE addmm(16x128, 16x256, 256x128) 2025-09-09T14:23:56.7852868Z strides: [0, 1], [256, 1], [1, 256] 2025-09-09T14:23:56.7853102Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:23:56.7853647Z triton_mm_1255 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:23:56.7854454Z triton_mm_1259 0.0069 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:56.7855460Z triton_mm_1258 0.0071 ms 96.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7856240Z triton_mm_1253 0.0073 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:56.7857005Z triton_mm_1254 0.0073 ms 94.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:23:56.7857487Z bias_addmm 0.0073 ms 93.9% 2025-09-09T14:23:56.7857968Z triton_mm_1263 0.0074 ms 92.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:23:56.7858750Z triton_mm_1267 0.0075 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:56.7859516Z triton_mm_1252 0.0076 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:23:56.7860651Z triton_mm_1265 0.0076 ms 90.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:23:56.7861324Z SingleProcess AUTOTUNE benchmarking takes 0.2343 seconds and 0.4389 seconds precompiling for 19 choices 2025-09-09T14:23:56.7861893Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:23:56.7862297Z Autotune Choices Stats: 2025-09-09T14:23:56.7863038Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1272", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006560000125318766, "best_triton_pos": 0} 2025-09-09T14:23:56.7863809Z AUTOTUNE mm(16x256, 256x128) 2025-09-09T14:23:56.7863995Z strides: [256, 1], [128, 1] 2025-09-09T14:23:56.7871594Z dtypes: torch.float16, torch.float16 2025-09-09T14:23:56.7872347Z triton_mm_1272 0.0066 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:23:56.7873153Z triton_mm_1276 0.0066 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:56.7873923Z triton_mm_1275 0.0067 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7874682Z triton_mm_1271 0.0068 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:23:56.7875699Z triton_mm_1269 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:23:56.7876472Z triton_mm_1270 0.0070 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:23:56.7877240Z triton_mm_1284 0.0071 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:23:56.7877995Z triton_mm_1279 0.0072 ms 91.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:23:56.7878479Z mm 0.0072 ms 91.1% 2025-09-09T14:23:56.7878927Z triton_mm_1282 0.0072 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:23:56.7879597Z SingleProcess AUTOTUNE benchmarking takes 0.2051 seconds and 0.4682 seconds precompiling for 18 choices 2025-09-09T14:24:07.7843738Z >>time: 0.009ms for , to_beat: 0.007ms 2025-09-09T14:24:07.7844623Z >>time: 0.006ms for , to_beat: 0.007ms 2025-09-09T14:24:07.7845685Z >>time: 0.008ms for matmul, to_beat: 0.006ms 2025-09-09T14:24:07.7846439Z best_cls= 2025-09-09T14:24:07.7846816Z 2025-09-09T14:24:07.7847100Z PASSED 2025-09-09T14:24:07.7847547Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_24_cuda (m, k, n): (64, 256, 128) 2025-09-09T14:24:07.7848081Z activation_shapes: torch.Size([64, 256]), times_seen: 1 2025-09-09T14:24:07.7848927Z weight_shape: torch.Size([128, 256]), dtype: torch.float16, bias_shape: torch.Size([128]) 2025-09-09T14:24:07.7849531Z Autotune Choices Stats: 2025-09-09T14:24:07.7850406Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1299", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006976000033318996, "best_triton_pos": 0} 2025-09-09T14:24:07.7851320Z AUTOTUNE addmm(64x128, 64x256, 256x128) 2025-09-09T14:24:07.7851557Z strides: [0, 1], [256, 1], [1, 256] 2025-09-09T14:24:07.7851815Z dtypes: torch.float16, torch.float16, torch.float16 2025-09-09T14:24:07.7852436Z triton_mm_1299 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:07.7853374Z triton_mm_1303 0.0074 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:07.7854296Z triton_mm_1296 0.0074 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:24:07.7855350Z triton_mm_1298 0.0075 ms 92.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7855954Z bias_addmm 0.0076 ms 91.6% 2025-09-09T14:24:07.7856478Z triton_mm_1297 0.0077 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7857282Z triton_mm_1302 0.0077 ms 90.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:24:07.7858074Z triton_mm_1307 0.0078 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:07.7858864Z triton_mm_1311 0.0078 ms 89.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7859641Z triton_mm_1309 0.0080 ms 87.2% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:07.7860313Z SingleProcess AUTOTUNE benchmarking takes 0.2344 seconds and 0.5095 seconds precompiling for 19 choices 2025-09-09T14:24:07.7860887Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:24:07.7861278Z Autotune Choices Stats: 2025-09-09T14:24:07.7862026Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1316", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.00687999976798892, "best_triton_pos": 0} 2025-09-09T14:24:07.7862816Z AUTOTUNE mm(64x256, 256x128) 2025-09-09T14:24:07.7863036Z strides: [256, 1], [128, 1] 2025-09-09T14:24:07.7863285Z dtypes: torch.float16, torch.float16 2025-09-09T14:24:07.7863802Z triton_mm_1316 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:07.7864578Z triton_mm_1320 0.0073 ms 94.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:07.7865180Z mm 0.0074 ms 93.1% 2025-09-09T14:24:07.7865636Z triton_mm_1319 0.0074 ms 93.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:24:07.7866735Z triton_mm_1314 0.0076 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7867508Z triton_mm_1323 0.0076 ms 90.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:07.7868280Z triton_mm_1315 0.0077 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7869027Z triton_mm_1326 0.0077 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:07.7869788Z triton_mm_1313 0.0078 ms 88.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:24:07.7870570Z triton_mm_1324 0.0078 ms 88.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:07.7871238Z SingleProcess AUTOTUNE benchmarking takes 0.2159 seconds and 0.4913 seconds precompiling for 18 choices 2025-09-09T14:24:07.7871883Z >>time: 0.009ms for , to_beat: 0.007ms 2025-09-09T14:24:07.7872699Z >>time: 0.009ms for matmul, to_beat: 0.007ms 2025-09-09T14:24:07.7873288Z best_cls= 2025-09-09T14:24:07.7873535Z 2025-09-09T14:24:07.7873667Z PASSED 2025-09-09T14:24:07.7874046Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_25_cuda (m, k, n): (16, 128, 128) 2025-09-09T14:24:07.7874492Z PASSED 2025-09-09T14:24:07.7874841Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_26_cuda (m, k, n): (64, 128, 128) 2025-09-09T14:24:07.7875424Z activation_shapes: torch.Size([64, 128]), times_seen: 1 2025-09-09T14:24:07.7875790Z weight_shape: torch.Size([128, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:24:07.7876121Z Autotune Choices Stats: 2025-09-09T14:24:07.7876869Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1346", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8", "best_time": 0.00687999976798892, "best_triton_pos": 0} 2025-09-09T14:24:07.7877639Z AUTOTUNE addmm(64x128, 64x128, 128x128) 2025-09-09T14:24:07.7877865Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:24:07.7878107Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:24:07.7878677Z triton_mm_1346 0.0069 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:24:07.7879455Z triton_mm_1341 0.0070 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7880214Z triton_mm_1342 0.0071 ms 97.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7880980Z triton_mm_1340 0.0071 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:24:07.7881749Z triton_mm_1350 0.0072 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:07.7882807Z triton_mm_1353 0.0072 ms 95.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:07.7883595Z triton_mm_1352 0.0074 ms 93.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:07.7884370Z triton_mm_1355 0.0076 ms 91.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:07.7885268Z triton_mm_1349 0.0076 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:35.8111874Z triton_mm_1347 0.0077 ms 89.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:35.8112930Z SingleProcess AUTOTUNE benchmarking takes 0.2288 seconds and 0.4325 seconds precompiling for 19 choices 2025-09-09T14:24:35.8113700Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:24:35.8114146Z Autotune Choices Stats: 2025-09-09T14:24:35.8115372Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1370", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8", "best_time": 0.006688000168651342, "best_triton_pos": 0} 2025-09-09T14:24:35.8116362Z AUTOTUNE mm(64x128, 128x128) 2025-09-09T14:24:35.8116569Z strides: [128, 1], [128, 1] 2025-09-09T14:24:35.8116790Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:24:35.8117387Z triton_mm_1370 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:35.8118303Z triton_mm_1363 0.0068 ms 98.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:24:35.8119201Z triton_mm_1358 0.0068 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:35.8120088Z triton_mm_1359 0.0069 ms 96.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:35.8121000Z triton_mm_1367 0.0069 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8121559Z mm 0.0070 ms 95.4% 2025-09-09T14:24:35.8122112Z triton_mm_1364 0.0070 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:35.8123019Z triton_mm_1372 0.0071 ms 94.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:35.8123919Z triton_mm_1357 0.0071 ms 94.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:24:35.8124762Z triton_mm_1366 0.0072 ms 93.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:35.8125593Z SingleProcess AUTOTUNE benchmarking takes 0.2086 seconds and 0.3455 seconds precompiling for 18 choices 2025-09-09T14:24:35.8126657Z >>time: 0.009ms for , to_beat: 0.007ms 2025-09-09T14:24:35.8127647Z >>time: 0.008ms for matmul, to_beat: 0.007ms 2025-09-09T14:24:35.8128240Z best_cls= 2025-09-09T14:24:35.8128496Z 2025-09-09T14:24:35.8128783Z PASSED 2025-09-09T14:24:35.8129184Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_27_cuda (m, k, n): (16, 128, 256) 2025-09-09T14:24:35.8129644Z activation_shapes: torch.Size([16, 128]), times_seen: 1 2025-09-09T14:24:35.8130022Z weight_shape: torch.Size([256, 128]), dtype: torch.bfloat16, bias_shape: torch.Size([256]) 2025-09-09T14:24:35.8130355Z Autotune Choices Stats: 2025-09-09T14:24:35.8131116Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1386", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.006752000190317631, "best_triton_pos": 0} 2025-09-09T14:24:35.8131921Z AUTOTUNE addmm(16x256, 16x128, 128x256) 2025-09-09T14:24:35.8132130Z strides: [0, 1], [128, 1], [1, 128] 2025-09-09T14:24:35.8132376Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:24:35.8132932Z triton_mm_1386 0.0068 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:24:35.8133723Z triton_mm_1397 0.0068 ms 99.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:35.8134492Z triton_mm_1385 0.0069 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:35.8135398Z triton_mm_1390 0.0069 ms 98.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8136196Z triton_mm_1399 0.0070 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:35.8136974Z triton_mm_1394 0.0071 ms 95.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8137745Z triton_mm_1396 0.0071 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8138516Z triton_mm_1391 0.0072 ms 93.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:35.8139299Z triton_mm_1393 0.0072 ms 93.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:35.8140069Z triton_mm_1392 0.0074 ms 90.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8140747Z SingleProcess AUTOTUNE benchmarking takes 0.2332 seconds and 0.3150 seconds precompiling for 19 choices 2025-09-09T14:24:35.8141325Z >>time: 0.006ms for , to_beat: infms 2025-09-09T14:24:35.8141716Z Autotune Choices Stats: 2025-09-09T14:24:35.8142466Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1402", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.006527999881654978, "best_triton_pos": 0} 2025-09-09T14:24:35.8143551Z AUTOTUNE mm(16x128, 128x256) 2025-09-09T14:24:35.8143753Z strides: [128, 1], [256, 1] 2025-09-09T14:24:35.8143953Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:24:35.8144457Z triton_mm_1402 0.0065 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:35.8145371Z triton_mm_1403 0.0066 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:24:35.8146151Z triton_mm_1407 0.0068 ms 96.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8146906Z triton_mm_1414 0.0068 ms 95.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:35.8147704Z triton_mm_1416 0.0068 ms 95.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:35.8148470Z triton_mm_1413 0.0069 ms 94.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8149238Z triton_mm_1411 0.0070 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8149728Z mm 0.0070 ms 92.7% 2025-09-09T14:24:35.8150170Z triton_mm_1410 0.0070 ms 92.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:35.8150941Z triton_mm_1409 0.0072 ms 90.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:35.8151620Z SingleProcess AUTOTUNE benchmarking takes 0.2011 seconds and 0.2950 seconds precompiling for 18 choices 2025-09-09T14:24:35.8152332Z >>time: 0.008ms for , to_beat: 0.006ms 2025-09-09T14:24:35.8153027Z >>time: 0.006ms for , to_beat: 0.006ms 2025-09-09T14:24:54.6503273Z >>time: 0.008ms for matmul, to_beat: 0.006ms 2025-09-09T14:24:54.6504177Z best_cls= 2025-09-09T14:24:54.6504590Z 2025-09-09T14:24:54.6504889Z PASSED 2025-09-09T14:24:54.6505621Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_28_cuda (m, k, n): (16, 256, 128) 2025-09-09T14:24:54.6506270Z activation_shapes: torch.Size([16, 256]), times_seen: 1 2025-09-09T14:24:54.6506740Z weight_shape: torch.Size([128, 256]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:24:54.6507153Z Autotune Choices Stats: 2025-09-09T14:24:54.6508101Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1430", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.007040000054985285, "best_triton_pos": 0} 2025-09-09T14:24:54.6509114Z AUTOTUNE addmm(16x128, 16x256, 256x128) 2025-09-09T14:24:54.6509328Z strides: [0, 1], [256, 1], [1, 256] 2025-09-09T14:24:54.6509582Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:24:54.6510174Z triton_mm_1430 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:54.6511602Z triton_mm_1431 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:24:54.6512576Z triton_mm_1436 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:54.6513424Z triton_mm_1432 0.0072 ms 97.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:24:54.6514256Z triton_mm_1444 0.0073 ms 96.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:54.6515208Z triton_mm_1435 0.0073 ms 96.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:54.6515744Z bias_addmm 0.0075 ms 94.0% 2025-09-09T14:24:54.6516265Z triton_mm_1429 0.0075 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:24:54.6517104Z triton_mm_1442 0.0076 ms 92.1% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:54.6517932Z triton_mm_1440 0.0077 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:54.6518668Z SingleProcess AUTOTUNE benchmarking takes 0.2273 seconds and 0.3709 seconds precompiling for 19 choices 2025-09-09T14:24:54.6519289Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:24:54.6519700Z Autotune Choices Stats: 2025-09-09T14:24:54.6520477Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1449", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2", "best_time": 0.0066559999249875546, "best_triton_pos": 0} 2025-09-09T14:24:54.6521266Z AUTOTUNE mm(16x256, 256x128) 2025-09-09T14:24:54.6521461Z strides: [256, 1], [128, 1] 2025-09-09T14:24:54.6521663Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:24:54.6522173Z triton_mm_1449 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:24:54.6522951Z triton_mm_1448 0.0067 ms 99.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=2 2025-09-09T14:24:54.6523716Z triton_mm_1453 0.0069 ms 96.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:54.6524476Z triton_mm_1452 0.0070 ms 95.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:54.6525359Z triton_mm_1447 0.0071 ms 93.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:54.6525855Z mm 0.0073 ms 91.6% 2025-09-09T14:24:54.6526298Z triton_mm_1446 0.0073 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=16, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=2 2025-09-09T14:24:54.6527061Z triton_mm_1456 0.0073 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:54.6528119Z triton_mm_1459 0.0073 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=16, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:54.6528894Z triton_mm_1461 0.0073 ms 90.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=16, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:54.6529568Z SingleProcess AUTOTUNE benchmarking takes 0.2067 seconds and 0.4463 seconds precompiling for 18 choices 2025-09-09T14:24:54.6530204Z >>time: 0.009ms for , to_beat: 0.007ms 2025-09-09T14:24:54.6530907Z >>time: 0.006ms for , to_beat: 0.007ms 2025-09-09T14:24:54.6531625Z >>time: 0.008ms for matmul, to_beat: 0.006ms 2025-09-09T14:24:54.6532274Z best_cls= 2025-09-09T14:24:54.6532592Z 2025-09-09T14:24:54.6532709Z PASSED 2025-09-09T14:24:54.6533090Z test/integration/test_integration.py::TestAutoQuant::test_autoquant_one_input_29_cuda (m, k, n): (64, 256, 128) 2025-09-09T14:24:54.6533568Z activation_shapes: torch.Size([64, 256]), times_seen: 1 2025-09-09T14:24:54.6533931Z weight_shape: torch.Size([128, 256]), dtype: torch.bfloat16, bias_shape: torch.Size([128]) 2025-09-09T14:24:54.6534255Z Autotune Choices Stats: 2025-09-09T14:24:54.6535124Z {"num_choices": 19, "num_triton_choices": 17, "best_kernel": "triton_mm_1476", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.007040000054985285, "best_triton_pos": 0} 2025-09-09T14:24:54.6535932Z AUTOTUNE addmm(64x128, 64x256, 256x128) 2025-09-09T14:24:54.6536152Z strides: [0, 1], [256, 1], [1, 256] 2025-09-09T14:24:54.6536398Z dtypes: torch.bfloat16, torch.bfloat16, torch.bfloat16 2025-09-09T14:24:54.6536954Z triton_mm_1476 0.0070 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:54.6537749Z triton_mm_1480 0.0074 ms 94.8% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:24:54.6538539Z triton_mm_1474 0.0075 ms 93.6% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:54.6539316Z triton_mm_1475 0.0076 ms 92.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:24:54.6540094Z triton_mm_1473 0.0077 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:24:54.6540864Z triton_mm_1479 0.0077 ms 91.7% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:24:54.6541353Z bias_addmm 0.0078 ms 90.2% 2025-09-09T14:24:54.6541817Z triton_mm_1486 0.0080 ms 88.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:24:54.6542580Z triton_mm_1483 0.0081 ms 87.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:24:54.6543489Z triton_mm_1484 0.0082 ms 86.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=4 2025-09-09T14:24:54.6544286Z SingleProcess AUTOTUNE benchmarking takes 0.2359 seconds and 0.5229 seconds precompiling for 19 choices 2025-09-09T14:24:54.6544853Z >>time: 0.007ms for , to_beat: infms 2025-09-09T14:24:54.6545358Z Autotune Choices Stats: 2025-09-09T14:25:04.1759675Z {"num_choices": 18, "num_triton_choices": 17, "best_kernel": "triton_mm_1493", "best_kernel_desc": "ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4", "best_time": 0.0066559999249875546, "best_triton_pos": 0} 2025-09-09T14:25:04.1760798Z AUTOTUNE mm(64x256, 256x128) 2025-09-09T14:25:04.1761077Z strides: [256, 1], [128, 1] 2025-09-09T14:25:04.1761424Z dtypes: torch.bfloat16, torch.bfloat16 2025-09-09T14:25:04.1762316Z triton_mm_1493 0.0067 ms 100.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:25:04.1763525Z triton_mm_1497 0.0069 ms 95.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=4 2025-09-09T14:25:04.1764687Z triton_mm_1496 0.0070 ms 95.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=8 2025-09-09T14:25:04.1766346Z triton_mm_1492 0.0070 ms 94.5% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:25:04.1767072Z mm 0.0071 ms 93.3% 2025-09-09T14:25:04.1767745Z triton_mm_1491 0.0072 ms 92.9% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=32, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:25:04.1768911Z triton_mm_1500 0.0072 ms 92.0% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=3, num_warps=4 2025-09-09T14:25:04.1770075Z triton_mm_1503 0.0074 ms 90.4% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=32, BLOCK_M=64, BLOCK_N=64, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=4, num_warps=8 2025-09-09T14:25:04.1771235Z triton_mm_1490 0.0075 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=128, BLOCK_M=32, BLOCK_N=32, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=2, num_warps=4 2025-09-09T14:25:04.1772298Z triton_mm_1505 0.0075 ms 89.3% ACC_TYPE='tl.float32', ALLOW_TF32=False, BLOCK_K=64, BLOCK_M=64, BLOCK_N=128, EVEN_K=True, GROUP_M=8, USE_FAST_ACCUM=False, num_stages=5, num_warps=8 2025-09-09T14:25:04.1773033Z SingleProcess AUTOTUNE benchmarking takes 0.2088 seconds and 0.4510 seconds precompiling for 18 choices 2025-09-09T14:25:04.1773741Z >>time: 0.009ms for , to_beat: 0.007ms 2025-09-09T14:25:04.1774541Z >>time: 0.009ms for matmul, to_beat: 0.007ms 2025-09-09T14:25:04.1775301Z best_cls= 2025-09-09T14:25:04.1775577Z 2025-09-09T14:25:04.1775863Z PASSED 2025-09-09T14:25:04.1776249Z test/integration/test_integration.py::TestAOTI::test_aoti_00 SKIPPED 2025-09-09T14:25:04.1776783Z test/integration/test_integration.py::TestAOTI::test_aoti_01 SKIPPED 2025-09-09T14:25:04.1777286Z test/integration/test_integration.py::TestAOTI::test_aoti_02 SKIPPED 2025-09-09T14:25:04.1777790Z test/integration/test_integration.py::TestAOTI::test_aoti_03 SKIPPED 2025-09-09T14:25:04.1778295Z test/integration/test_integration.py::TestAOTI::test_aoti_04 SKIPPED 2025-09-09T14:25:04.1778790Z test/integration/test_integration.py::TestAOTI::test_aoti_05 SKIPPED 2025-09-09T14:25:04.1780123Z test/integration/test_integration.py::TestAOTI::test_aoti_06 SKIPPED 2025-09-09T14:25:04.1780638Z test/integration/test_integration.py::TestAOTI::test_aoti_07 SKIPPED 2025-09-09T14:25:04.1781156Z test/integration/test_integration.py::TestAOTI::test_aoti_08 SKIPPED 2025-09-09T14:25:04.1781662Z test/integration/test_integration.py::TestAOTI::test_aoti_09 SKIPPED 2025-09-09T14:25:04.1782128Z test/integration/test_integration.py::TestAOTI::test_aoti_10 SKIPPED 2025-09-09T14:25:04.1782609Z test/integration/test_integration.py::TestAOTI::test_aoti_11 SKIPPED 2025-09-09T14:25:04.1783069Z test/integration/test_integration.py::TestAOTI::test_aoti_12 SKIPPED 2025-09-09T14:25:04.1783534Z test/integration/test_integration.py::TestAOTI::test_aoti_13 SKIPPED 2025-09-09T14:25:04.1784004Z test/integration/test_integration.py::TestAOTI::test_aoti_14 SKIPPED 2025-09-09T14:25:04.1784469Z test/integration/test_integration.py::TestAOTI::test_aoti_15 SKIPPED 2025-09-09T14:25:04.1785088Z test/integration/test_integration.py::TestAOTI::test_aoti_16 SKIPPED 2025-09-09T14:25:04.1785576Z test/integration/test_integration.py::TestAOTI::test_aoti_17 SKIPPED 2025-09-09T14:25:04.1786063Z test/integration/test_integration.py::TestExport::test_export_00 PASSED 2025-09-09T14:25:04.1786563Z test/integration/test_integration.py::TestExport::test_export_01 PASSED 2025-09-09T14:25:04.1787050Z test/integration/test_integration.py::TestExport::test_export_02 PASSED 2025-09-09T14:25:04.1787536Z test/integration/test_integration.py::TestExport::test_export_03 PASSED 2025-09-09T14:25:04.1788012Z test/integration/test_integration.py::TestExport::test_export_04 PASSED 2025-09-09T14:25:04.1788491Z test/integration/test_integration.py::TestExport::test_export_05 PASSED 2025-09-09T14:25:04.1788966Z test/integration/test_integration.py::TestExport::test_export_06 PASSED 2025-09-09T14:25:04.1789460Z test/integration/test_integration.py::TestExport::test_export_07 PASSED 2025-09-09T14:25:04.1789953Z test/integration/test_integration.py::TestExport::test_export_08 PASSED 2025-09-09T14:25:04.1790429Z test/integration/test_integration.py::TestExport::test_export_09 PASSED 2025-09-09T14:25:04.1790915Z test/integration/test_integration.py::TestExport::test_export_10 PASSED 2025-09-09T14:25:04.1791391Z test/integration/test_integration.py::TestExport::test_export_11 PASSED 2025-09-09T14:25:04.1791990Z test/integration/test_integration.py::TestExport::test_export_12 PASSED 2025-09-09T14:25:04.1792472Z test/integration/test_integration.py::TestExport::test_export_13 PASSED 2025-09-09T14:25:04.1792945Z test/integration/test_integration.py::TestExport::test_export_14 PASSED 2025-09-09T14:25:04.1793421Z test/integration/test_integration.py::TestExport::test_export_15 PASSED 2025-09-09T14:25:04.1793899Z test/integration/test_integration.py::TestExport::test_export_16 PASSED 2025-09-09T14:25:04.1794388Z test/integration/test_integration.py::TestExport::test_export_17 PASSED 2025-09-09T14:25:04.1794860Z test/integration/test_integration.py::TestExport::test_export_18 PASSED 2025-09-09T14:25:04.1795485Z test/integration/test_integration.py::TestExport::test_export_19 PASSED 2025-09-09T14:25:04.1795983Z test/integration/test_integration.py::TestExport::test_export_20 PASSED 2025-09-09T14:25:04.1796455Z test/integration/test_integration.py::TestExport::test_export_21 PASSED 2025-09-09T14:25:04.1796932Z test/integration/test_integration.py::TestExport::test_export_22 PASSED 2025-09-09T14:25:04.1797406Z test/integration/test_integration.py::TestExport::test_export_23 PASSED 2025-09-09T14:25:04.1797862Z test/integration/test_integration.py::TestExport::test_export_float8 ExportedProgram: 2025-09-09T14:25:04.1798253Z class GraphModule(torch.nn.Module): 2025-09-09T14:25:04.1798848Z def forward(self, p_linear_weight: "f32[16, 32]", x: "f32[2, 32]"): 2025-09-09T14:25:04.1799162Z # No stacktrace found for following nodes 2025-09-09T14:25:04.1799661Z access_subclass_inner_tensor_default_2: "f8e4m3fn[16, 32]" = torch.ops.export.access_subclass_inner_tensor.default(p_linear_weight, 'qdata') 2025-09-09T14:25:04.1800447Z 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 2025-09-09T14:25:04.1800950Z 2025-09-09T14:25:04.1801458Z # 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) 2025-09-09T14:25:04.1802136Z choose_scale_float8: "f32[1, 1]" = torch.ops.torchao.choose_scale_float8.default(x, [2, 32]) 2025-09-09T14:25:04.1802930Z _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 2025-09-09T14:25:04.1803654Z to: "f32[2, 32]" = torch.ops.aten.to.dtype(x, torch.float32); x = None 2025-09-09T14:25:04.1804028Z div: "f32[2, 32]" = torch.ops.aten.div.Tensor(to, choose_scale_float8); to = None 2025-09-09T14:25:04.1804432Z clamp: "f32[2, 32]" = torch.ops.aten.clamp.default(div, -448.0, 448.0); div = None 2025-09-09T14:25:04.1804727Z 2025-09-09T14:25:04.1805326Z # File: /opt/conda/envs/venv/lib/python3.9/site-packages/torchao/quantization/quant_primitives.py:229 in forward, code: return x.to(float8_dtype) 2025-09-09T14:25:04.1806319Z _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 2025-09-09T14:25:04.1807120Z to_1: "f8e4m3fn[2, 32]" = torch.ops.aten.to.dtype(clamp, torch.float8_e4m3fn); clamp = None 2025-09-09T14:25:04.1807448Z 2025-09-09T14:25:04.1807943Z # 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) 2025-09-09T14:25:04.1808618Z reshape: "f8e4m3fn[2, 32]" = torch.ops.aten.reshape.default(to_1, [-1, 32]); to_1 = None 2025-09-09T14:25:17.2114072Z mul: "f32[1, 1]" = torch.ops.aten.mul.Tensor(choose_scale_float8, access_subclass_inner_tensor_default_3); choose_scale_float8 = access_subclass_inner_tensor_default_3 = None 2025-09-09T14:25:17.2115650Z f8f8bf16: "bf16[2, 16]" = torch.ops.fbgemm.f8f8bf16.default(reshape, access_subclass_inner_tensor_default_2, mul); reshape = access_subclass_inner_tensor_default_2 = mul = None 2025-09-09T14:25:17.2116448Z reshape_1: "bf16[2, 16]" = torch.ops.aten.reshape.default(f8f8bf16, [2, 16]); f8f8bf16 = None 2025-09-09T14:25:17.2116834Z return (reshape_1,) 2025-09-09T14:25:17.2117031Z 2025-09-09T14:25:17.2117189Z Graph signature: 2025-09-09T14:25:17.2117360Z # inputs 2025-09-09T14:25:17.2117563Z p_linear_weight: PARAMETER target='linear.weight' 2025-09-09T14:25:17.2117830Z x: USER_INPUT 2025-09-09T14:25:17.2117982Z 2025-09-09T14:25:17.2118129Z # outputs 2025-09-09T14:25:17.2118292Z reshape_1: USER_OUTPUT 2025-09-09T14:25:17.2118482Z 2025-09-09T14:25:17.2118632Z Range constraints: {} 2025-09-09T14:25:17.2118745Z 2025-09-09T14:25:17.2119017Z PASSED 2025-09-09T14:25:17.2119441Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_00 SKIPPED 2025-09-09T14:25:17.2120047Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_01 SKIPPED 2025-09-09T14:25:17.2120652Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_02 SKIPPED 2025-09-09T14:25:17.2122048Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_03 SKIPPED 2025-09-09T14:25:17.2122668Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_04 SKIPPED 2025-09-09T14:25:17.2123262Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_05 PASSED 2025-09-09T14:25:17.2123850Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_06 SKIPPED 2025-09-09T14:25:17.2124439Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_07 SKIPPED 2025-09-09T14:25:17.2125199Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_08 SKIPPED 2025-09-09T14:25:17.2125781Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_09 SKIPPED 2025-09-09T14:25:17.2126324Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_10 SKIPPED 2025-09-09T14:25:17.2126865Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_11 PASSED 2025-09-09T14:25:17.2127417Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_12 SKIPPED 2025-09-09T14:25:17.2127953Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_13 SKIPPED 2025-09-09T14:25:17.2128510Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_14 SKIPPED 2025-09-09T14:25:17.2129053Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_15 SKIPPED 2025-09-09T14:25:17.2129587Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_16 SKIPPED 2025-09-09T14:25:17.2130144Z test/integration/test_integration.py::TestUtils::test_get_model_size_aqt_17 PASSED 2025-09-09T14:25:17.2130777Z test/integration/test_integration.py::TestBenchmarkModel::test_benchmark_model_cpu cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:25:17.2131402Z File "/pytorch/ao/test/integration/test_integration.py", line 2042, in forward 2025-09-09T14:25:17.2131739Z x = self.linear1(x) 2025-09-09T14:25:17.2131850Z 2025-09-09T14:25:17.2131964Z cudagraph partition due to non gpu ops. Found from : 2025-09-09T14:25:17.2132330Z File "/pytorch/ao/test/integration/test_integration.py", line 2043, in forward 2025-09-09T14:25:17.2132650Z x = self.linear2(x) 2025-09-09T14:25:17.2132760Z 2025-09-09T14:25:17.2132841Z PASSED 2025-09-09T14:25:17.2133247Z test/integration/test_integration.py::TestBenchmarkModel::test_benchmark_model_cuda PASSED 2025-09-09T14:25:17.2133868Z test/integration/test_load_and_run_checkpoint.py::TestLoadAndRunCheckpoint::test_deprecated_hf_models_model_info0 2025-09-09T14:25:17.2134311Z config.json: 0.00B [00:00, ?B/s] 2025-09-09T14:25:17.2134512Z config.json: 2.07kB [00:00, 12.5MB/s] 2025-09-09T14:25:17.2134754Z `torch_dtype` is deprecated! Use `dtype` instead! 2025-09-09T14:25:17.2134936Z 2025-09-09T14:25:17.2135175Z pytorch_model.bin: 0% 0.00/166M [00:00 database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,) 2025-09-09T14:25:54.7993964Z rootdir: /pytorch/ao 2025-09-09T14:25:54.7994207Z plugins: hypothesis-6.138.15 2025-09-09T14:25:54.7994743Z collecting ... TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:25:54.7995391Z  2025-09-09T14:25:54.7995800Z collecting 0 items  2025-09-09T14:25:54.7996282Z collected 119 items  2025-09-09T14:25:54.7996536Z 2025-09-09T14:25:54.7997163Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e4m3fn_bfloat16 PASSED 2025-09-09T14:25:54.7998331Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e4m3fn_float32 PASSED 2025-09-09T14:25:54.7999484Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e5m2_bfloat16 PASSED 2025-09-09T14:25:54.8000642Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_choose_scale_float8_bounds_float8_e5m2_float32 PASSED 2025-09-09T14:25:54.8001848Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size0 PASSED 2025-09-09T14:25:54.8003102Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size1 PASSED 2025-09-09T14:25:54.8004363Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size2 PASSED 2025-09-09T14:25:54.8005751Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_bfloat16_block_size3 PASSED 2025-09-09T14:25:54.8006886Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size0 PASSED 2025-09-09T14:25:54.8008633Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size1 PASSED 2025-09-09T14:25:54.8009632Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size2 PASSED 2025-09-09T14:25:54.8010612Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e4m3fn_float32_block_size3 PASSED 2025-09-09T14:25:54.8011578Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size0 PASSED 2025-09-09T14:25:54.8012551Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size1 PASSED 2025-09-09T14:25:54.8013517Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size2 PASSED 2025-09-09T14:25:54.8014502Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_bfloat16_block_size3 PASSED 2025-09-09T14:25:54.8015623Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size0 PASSED 2025-09-09T14:25:54.8016592Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size1 PASSED 2025-09-09T14:25:54.8017555Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size2 PASSED 2025-09-09T14:25:54.8018517Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_float8_e5m2_float32_block_size3 PASSED 2025-09-09T14:25:54.8019447Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_dequantize_affine_float8_scale_broadcasting PASSED 2025-09-09T14:25:54.8020354Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity0_float8_config_version_1 frames [('total', 1), ('ok', 1)] 2025-09-09T14:25:54.8020965Z inline_call [] 2025-09-09T14:25:54.8021156Z stats [('calls_captured', 1), ('unique_graphs', 1)] 2025-09-09T14:25:54.8021984Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 31), ('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 3), ('pattern_matcher_count', 1), ('pattern_matcher_nodes', 1), ('fxgraph_cache_miss', 1), ('extern_calls', 1), ('triton_bundler_save_static_autotuner', 1)] 2025-09-09T14:25:54.8022916Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:25:54.8023240Z graph_break [] 2025-09-09T14:25:54.8023434Z aten_mm_info [('aten._scaled_mm.default_128_512_256', 1)] 2025-09-09T14:25:54.8023705Z PASSED 2025-09-09T14:25:54.8024261Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity0_float8_config_version_2 frames [('total', 1), ('ok', 1)] 2025-09-09T14:25:54.8024843Z inline_call [] 2025-09-09T14:25:54.8025140Z stats [('calls_captured', 1), ('unique_graphs', 1)] 2025-09-09T14:25:54.8025488Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:25:54.8026472Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 32), ('triton_bundler_save_kernel', 24), ('async_compile_cache_miss', 6), ('async_compile_cache_hit', 3), ('pattern_matcher_count', 1), ('pattern_matcher_nodes', 1), ('fxgraph_cache_miss', 1), ('extern_calls', 1), ('triton_bundler_save_static_autotuner', 1)] 2025-09-09T14:25:54.8027316Z graph_break [] 2025-09-09T14:25:54.8027502Z aten_mm_info [('aten._scaled_mm.default_128_512_256', 1)] 2025-09-09T14:25:54.8027927Z PASSED 2025-09-09T14:25:54.8028586Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity1_float8_config_version_1 frames [('total', 1), ('ok', 1)] 2025-09-09T14:25:54.8029194Z inline_call [] 2025-09-09T14:25:54.8029372Z stats [('calls_captured', 1), ('unique_graphs', 1)] 2025-09-09T14:25:54.8029717Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:25:54.8030686Z inductor [('triton_bundler_save_kernel', 8), ('benchmarking.InductorBenchmarker.benchmark_gpu', 7), ('pattern_matcher_count', 2), ('pattern_matcher_nodes', 2), ('async_compile_cache_miss', 2), ('fxgraph_cache_miss', 1), ('extern_calls', 1), ('async_compile_cache_hit', 1), ('triton_bundler_save_static_autotuner', 1)] 2025-09-09T14:25:54.8031532Z graph_break [] 2025-09-09T14:25:54.8031721Z aten_mm_info [('aten._scaled_mm.default_128_512_256', 1)] 2025-09-09T14:25:54.8032058Z PASSED 2025-09-09T14:25:54.8032615Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity1_float8_config_version_2 frames [('total', 1), ('ok', 1)] 2025-09-09T14:25:54.8033208Z inline_call [] 2025-09-09T14:25:54.8033383Z stats [('calls_captured', 1), ('unique_graphs', 1)] 2025-09-09T14:25:54.8033731Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:25:54.8034696Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 9), ('triton_bundler_save_kernel', 8), ('pattern_matcher_count', 2), ('pattern_matcher_nodes', 2), ('async_compile_cache_miss', 2), ('fxgraph_cache_miss', 1), ('extern_calls', 1), ('async_compile_cache_hit', 1), ('triton_bundler_save_static_autotuner', 1)] 2025-09-09T14:25:54.8035664Z graph_break [] 2025-09-09T14:25:54.8035866Z aten_mm_info [('aten._scaled_mm.default_128_512_256', 1)] 2025-09-09T14:25:54.8036117Z PASSED 2025-09-09T14:25:54.8036661Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_basic_granularity0 PASSED 2025-09-09T14:25:54.8037539Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_basic_granularity1 PASSED 2025-09-09T14:25:54.8038387Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_edge_cases PASSED 2025-09-09T14:25:54.8039303Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_functional_correctness_granularity0 PASSED 2025-09-09T14:25:54.8040276Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_functional_correctness_granularity1 PASSED 2025-09-09T14:25:54.8041165Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_per_row PASSED 2025-09-09T14:25:54.8042001Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_float8_tensor_slicing_per_tensor PASSED 2025-09-09T14:26:56.3299766Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity0_sizes0 PASSED 2025-09-09T14:26:56.3301200Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity0_sizes1 PASSED 2025-09-09T14:26:56.3302591Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity1_sizes0 PASSED 2025-09-09T14:26:56.3304001Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_False_granularity1_sizes1 PASSED 2025-09-09T14:26:56.3305995Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)] 2025-09-09T14:26:56.3306971Z inline_call [] 2025-09-09T14:26:56.3307184Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3307601Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:26:56.3308743Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 76), ('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)] 2025-09-09T14:26:56.3309766Z graph_break [] 2025-09-09T14:26:56.3310086Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)] 2025-09-09T14:26:56.3310500Z PASSED 2025-09-09T14:26:56.3311197Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)] 2025-09-09T14:26:56.3311942Z inline_call [] 2025-09-09T14:26:56.3312259Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3312656Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:26:56.3313824Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 65), ('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)] 2025-09-09T14:26:56.3314702Z graph_break [] 2025-09-09T14:26:56.3315123Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)] 2025-09-09T14:26:56.3315501Z PASSED 2025-09-09T14:26:56.3316099Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity1_sizes0 frames [('total', 1), ('ok', 1)] 2025-09-09T14:26:56.3316751Z inline_call [] 2025-09-09T14:26:56.3316932Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3317293Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:26:56.3318327Z inductor [('triton_bundler_save_kernel', 32), ('benchmarking.InductorBenchmarker.benchmark_gpu', 18), ('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)] 2025-09-09T14:26:56.3319172Z graph_break [] 2025-09-09T14:26:56.3319459Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)] 2025-09-09T14:26:56.3319804Z PASSED 2025-09-09T14:26:56.3320406Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_dynamic_compile_True_granularity1_sizes1 frames [('total', 1), ('ok', 1)] 2025-09-09T14:26:56.3321041Z inline_call [] 2025-09-09T14:26:56.3321220Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3321575Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:26:56.3322544Z 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)] 2025-09-09T14:26:56.3323388Z graph_break [] 2025-09-09T14:26:56.3323673Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)] 2025-09-09T14:26:56.3324014Z PASSED 2025-09-09T14:26:56.3324879Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity0_sizes0 PASSED 2025-09-09T14:26:56.3326285Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity0_sizes1 PASSED 2025-09-09T14:26:56.3327371Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity1_sizes0 PASSED 2025-09-09T14:26:56.3328443Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_False_granularity1_sizes1 PASSED 2025-09-09T14:26:56.3329449Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)] 2025-09-09T14:26:56.3330083Z inline_call [] 2025-09-09T14:26:56.3330277Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3330627Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:26:56.3331620Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 24), ('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)] 2025-09-09T14:26:56.3332465Z graph_break [] 2025-09-09T14:26:56.3332751Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)] 2025-09-09T14:26:56.3333103Z PASSED 2025-09-09T14:26:56.3333692Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)] 2025-09-09T14:26:56.3334329Z inline_call [] 2025-09-09T14:26:56.3334505Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3334852Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:26:56.3335963Z inductor [('triton_bundler_save_kernel', 32), ('benchmarking.InductorBenchmarker.benchmark_gpu', 19), ('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)] 2025-09-09T14:26:56.3336822Z graph_break [] 2025-09-09T14:26:56.3337104Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)] 2025-09-09T14:26:56.3337446Z PASSED 2025-09-09T14:26:56.3338088Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity1_sizes0 PASSED 2025-09-09T14:26:56.3339155Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_static_compile_True_granularity1_sizes1 PASSED 2025-09-09T14:26:56.3340239Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity0_sizes0 PASSED 2025-09-09T14:26:56.3341335Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity0_sizes1 PASSED 2025-09-09T14:26:56.3342419Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity1_sizes0 PASSED 2025-09-09T14:26:56.3343508Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_bfloat16_mode_weight-only_compile_False_granularity1_sizes1 PASSED 2025-09-09T14:26:56.3344855Z 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)] 2025-09-09T14:26:56.3345655Z inline_call [] 2025-09-09T14:26:56.3345839Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3346190Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:26:56.3346578Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)] 2025-09-09T14:26:56.3346833Z graph_break [] 2025-09-09T14:26:56.3347045Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)] 2025-09-09T14:26:56.3347334Z PASSED 2025-09-09T14:26:56.3347940Z 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)] 2025-09-09T14:26:56.3348580Z inline_call [] 2025-09-09T14:26:56.3348773Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:26:56.3349127Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8006250Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)] 2025-09-09T14:27:50.8006869Z graph_break [] 2025-09-09T14:27:50.8007132Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)] 2025-09-09T14:27:50.8007670Z PASSED 2025-09-09T14:27:50.8008469Z 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)] 2025-09-09T14:27:50.8009296Z inline_call [] 2025-09-09T14:27:50.8009514Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:50.8009953Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8010451Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)] 2025-09-09T14:27:50.8010749Z graph_break [] 2025-09-09T14:27:50.8011005Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)] 2025-09-09T14:27:50.8011333Z PASSED 2025-09-09T14:27:50.8012098Z 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)] 2025-09-09T14:27:50.8012910Z inline_call [] 2025-09-09T14:27:50.8013127Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:50.8013559Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8014280Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)] 2025-09-09T14:27:50.8014849Z graph_break [] 2025-09-09T14:27:50.8015347Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)] 2025-09-09T14:27:50.8015693Z PASSED 2025-09-09T14:27:50.8016519Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity0_sizes0 PASSED 2025-09-09T14:27:50.8017884Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity0_sizes1 PASSED 2025-09-09T14:27:50.8019248Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity1_sizes0 PASSED 2025-09-09T14:27:50.8020432Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_False_granularity1_sizes1 PASSED 2025-09-09T14:27:50.8021774Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)] 2025-09-09T14:27:50.8022578Z inline_call [] 2025-09-09T14:27:50.8022758Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:50.8023109Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8024096Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 68), ('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)] 2025-09-09T14:27:50.8025075Z graph_break [] 2025-09-09T14:27:50.8025375Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)] 2025-09-09T14:27:50.8025750Z PASSED 2025-09-09T14:27:50.8026362Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)] 2025-09-09T14:27:50.8034042Z inline_call [] 2025-09-09T14:27:50.8034278Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:50.8034664Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8035846Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 70), ('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)] 2025-09-09T14:27:50.8036736Z graph_break [] 2025-09-09T14:27:50.8037038Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)] 2025-09-09T14:27:50.8037449Z PASSED 2025-09-09T14:27:50.8038134Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity1_sizes0 PASSED 2025-09-09T14:27:50.8039220Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_dynamic_compile_True_granularity1_sizes1 PASSED 2025-09-09T14:27:50.8040294Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity0_sizes0 PASSED 2025-09-09T14:27:50.8041359Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity0_sizes1 PASSED 2025-09-09T14:27:50.8042425Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity1_sizes0 PASSED 2025-09-09T14:27:50.8043483Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_False_granularity1_sizes1 PASSED 2025-09-09T14:27:50.8044485Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity0_sizes0 frames [('total', 1), ('ok', 1)] 2025-09-09T14:27:50.8045243Z inline_call [] 2025-09-09T14:27:50.8045440Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:50.8045800Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8046793Z inductor [('benchmarking.InductorBenchmarker.benchmark_gpu', 20), ('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)] 2025-09-09T14:27:50.8047658Z graph_break [] 2025-09-09T14:27:50.8048156Z aten_mm_info [('aten._scaled_mm.default_128_256_128', 1), ('aten._scaled_mm.default_128_128_256', 1)] 2025-09-09T14:27:50.8048686Z PASSED 2025-09-09T14:27:50.8049288Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity0_sizes1 frames [('total', 1), ('ok', 1)] 2025-09-09T14:27:50.8049927Z inline_call [] 2025-09-09T14:27:50.8050108Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:50.8050468Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8051457Z inductor [('triton_bundler_save_kernel', 32), ('benchmarking.InductorBenchmarker.benchmark_gpu', 28), ('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)] 2025-09-09T14:27:50.8052304Z graph_break [] 2025-09-09T14:27:50.8052606Z aten_mm_info [('aten._scaled_mm.default_4096_64_256', 1), ('aten._scaled_mm.default_4096_256_64', 1)] 2025-09-09T14:27:50.8052963Z PASSED 2025-09-09T14:27:50.8053609Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity1_sizes0 PASSED 2025-09-09T14:27:50.8054681Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_static_compile_True_granularity1_sizes1 PASSED 2025-09-09T14:27:50.8055950Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_sizes0 PASSED 2025-09-09T14:27:50.8057052Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity0_sizes1 PASSED 2025-09-09T14:27:50.8058161Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity1_sizes0 PASSED 2025-09-09T14:27:50.8059261Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_linear_variants_float32_mode_weight-only_compile_False_granularity1_sizes1 PASSED 2025-09-09T14:27:50.8060304Z 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)] 2025-09-09T14:27:50.8060949Z inline_call [] 2025-09-09T14:27:50.8061127Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:50.8061485Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:50.8061865Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)] 2025-09-09T14:27:50.8062118Z graph_break [] 2025-09-09T14:27:50.8062335Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)] 2025-09-09T14:27:50.8062624Z PASSED 2025-09-09T14:27:50.8063226Z 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)] 2025-09-09T14:27:50.8063871Z inline_call [] 2025-09-09T14:27:50.8064060Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:51.4003261Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:51.4004028Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)] 2025-09-09T14:27:51.4004609Z graph_break [] 2025-09-09T14:27:51.4004871Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)] 2025-09-09T14:27:51.4005544Z PASSED 2025-09-09T14:27:51.4006666Z 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)] 2025-09-09T14:27:51.4007623Z inline_call [] 2025-09-09T14:27:51.4007840Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:51.4008270Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:51.4008722Z inductor [('extern_calls', 6), ('fxgraph_cache_miss', 1)] 2025-09-09T14:27:51.4009037Z graph_break [] 2025-09-09T14:27:51.4009294Z aten_mm_info [('aten.mm_128_256_128', 1), ('aten.mm_128_128_256', 1)] 2025-09-09T14:27:51.4009629Z PASSED 2025-09-09T14:27:51.4010361Z 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)] 2025-09-09T14:27:51.4011111Z inline_call [] 2025-09-09T14:27:51.4011312Z stats [('calls_captured', 2), ('unique_graphs', 1)] 2025-09-09T14:27:51.4011706Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:27:51.4012381Z inductor [('extern_calls', 6), ('pattern_matcher_nodes', 5), ('pattern_matcher_count', 4), ('removed_pointless_view_pair', 1), ('fxgraph_cache_miss', 1)] 2025-09-09T14:27:51.4012913Z graph_break [] 2025-09-09T14:27:51.4013143Z aten_mm_info [('aten.mm_4096_64_256', 1), ('aten.mm_4096_256_64', 1)] 2025-09-09T14:27:51.4013457Z PASSED 2025-09-09T14:27:51.4013946Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_fp8_weight_dimension_warning ToyLinearModel( 2025-09-09T14:27:51.4014701Z (linear1): Linear(in_features=10, out_features=25, weight=Tensor: ) 2025-09-09T14:27:51.4015491Z (linear2): Linear(in_features=25, out_features=10, weight=Tensor: ) 2025-09-09T14:27:51.4015915Z ) 2025-09-09T14:27:51.4016098Z PASSED 2025-09-09T14:27:51.4016675Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_invalid_granularity PASSED 2025-09-09T14:27:51.4017586Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mismatched_granularity PASSED 2025-09-09T14:27:51.4018697Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape0_bias_False PASSED 2025-09-09T14:27:51.4019894Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape0_bias_True PASSED 2025-09-09T14:27:51.4020969Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape1_bias_False PASSED 2025-09-09T14:27:51.4022061Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape1_bias_True PASSED 2025-09-09T14:27:51.4023127Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape2_bias_False PASSED 2025-09-09T14:27:51.4024200Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape2_bias_True PASSED 2025-09-09T14:27:51.4025391Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape3_bias_False PASSED 2025-09-09T14:27:51.4026474Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape3_bias_True PASSED 2025-09-09T14:27:51.4027699Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape4_bias_False PASSED 2025-09-09T14:27:51.4028914Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_1024_out_features_512_leading_shape4_bias_True PASSED 2025-09-09T14:27:51.4029975Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape0_bias_False PASSED 2025-09-09T14:27:51.4031036Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape0_bias_True PASSED 2025-09-09T14:27:51.4032184Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape1_bias_False PASSED 2025-09-09T14:27:51.4033261Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape1_bias_True PASSED 2025-09-09T14:27:51.4034318Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape2_bias_False PASSED 2025-09-09T14:27:51.4035507Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape2_bias_True PASSED 2025-09-09T14:27:51.4036579Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape3_bias_False PASSED 2025-09-09T14:27:51.4037632Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape3_bias_True PASSED 2025-09-09T14:27:51.4038696Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape4_bias_False PASSED 2025-09-09T14:27:51.4039759Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_256_out_features_768_leading_shape4_bias_True PASSED 2025-09-09T14:27:51.4040820Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape0_bias_False PASSED 2025-09-09T14:27:51.4041884Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape0_bias_True PASSED 2025-09-09T14:27:51.4042950Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape1_bias_False PASSED 2025-09-09T14:27:51.4044006Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape1_bias_True PASSED 2025-09-09T14:27:51.4045212Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape2_bias_False PASSED 2025-09-09T14:27:51.4046283Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape2_bias_True PASSED 2025-09-09T14:27:51.4047341Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape3_bias_False PASSED 2025-09-09T14:27:51.4048403Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape3_bias_True PASSED 2025-09-09T14:27:51.4049629Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape4_bias_False PASSED 2025-09-09T14:27:51.4050831Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_mm_float8dq_per_row_in_features_512_out_features_1024_leading_shape4_bias_True PASSED 2025-09-09T14:27:51.4051733Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_per_row_with_float32 PASSED 2025-09-09T14:27:51.4052528Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_preprocess_scale_3d_reshape PASSED 2025-09-09T14:27:51.4053326Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_dynamic PASSED 2025-09-09T14:27:51.4054113Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_static PASSED 2025-09-09T14:27:51.4054910Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_serialization_mode_weight-only PASSED 2025-09-09T14:27:51.4055880Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_unsupported_granularity PASSED 2025-09-09T14:27:51.4056275Z 2025-09-09T14:30:56.1794594Z =============================== warnings summary =============================== 2025-09-09T14:30:56.1795500Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:30:56.1796124Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:30:56.1797282Z /opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97: DeprecationWarning: warmup, rep, and use_cuda_graph parameters are deprecated. See https://github.com/triton-lang/triton/pull/4496 for details. 2025-09-09T14:30:56.1798372Z warnings.warn(("warmup, rep, and use_cuda_graph parameters are deprecated. See " 2025-09-09T14:30:56.1798686Z 2025-09-09T14:30:56.1799226Z test/dtypes/test_affine_quantized_float.py::TestAffineQuantizedFloat8Compile::test_expected_kernels_on_gpu_granularity0_float8_config_version_1 2025-09-09T14:30:56.1802072Z /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.) 2025-09-09T14:30:56.1804347Z _C._set_float32_matmul_precision(precision) 2025-09-09T14:30:56.1804551Z 2025-09-09T14:30:56.1804694Z test/dtypes/test_affine_quantized_float.py: 52 warnings 2025-09-09T14:30:56.1806141Z /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 2025-09-09T14:30:56.1807402Z warnings.warn( 2025-09-09T14:30:56.1807519Z 2025-09-09T14:30:56.1807660Z test/dtypes/test_affine_quantized_float.py: 179 warnings 2025-09-09T14:30:56.1809274Z /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 2025-09-09T14:30:56.1810817Z warnings.warn( 2025-09-09T14:30:56.1810933Z 2025-09-09T14:30:56.1811079Z test/dtypes/test_affine_quantized_float.py: 17 warnings 2025-09-09T14:30:56.1812972Z /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 2025-09-09T14:30:56.1813915Z warnings.warn( 2025-09-09T14:30:56.1814014Z 2025-09-09T14:30:56.1814175Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-09-09T14:30:56.1814756Z ================ 119 passed, 251 warnings in 144.05s (0:02:24) ================= 2025-09-09T14:30:56.1815351Z + python test/quantization/quantize_/workflows/float8/test_float8_tensor.py 2025-09-09T14:30:56.1815758Z TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:30:56.1815979Z 2025-09-09T14:30:56.1816046Z Running tests... 2025-09-09T14:30:56.1816243Z ---------------------------------------------------------------------- 2025-09-09T14:30:56.1818104Z /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.) 2025-09-09T14:30:56.1819919Z _C._set_float32_matmul_precision(precision) 2025-09-09T14:30:56.1822290Z ......./opt/conda/envs/venv/lib/python3.9/site-packages/torch/autograd/graph.py:841: UserWarning: fbgemm::f8f8bf16_rowwise: an autograd kernel was not registered to the Autograd key(s) but we are trying to backprop through it. This may lead to silently incorrect behavior. This behavior is deprecated and will be removed in a future version of PyTorch. If your operator is differentiable, please ensure you have registered an autograd kernel to the correct Autograd key (e.g. DispatchKey::Autograd, DispatchKey::CompositeImplicitAutograd). If your operator is not differentiable, or to squash this warning and use the previous behavior, please register torch::CppFunction::makeFallthrough() to DispatchKey::Autograd. (Triggered internally at /pytorch/torch/csrc/autograd/autograd_not_implemented_fallback.cpp:62.) 2025-09-09T14:30:56.1824745Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-09T14:30:56.1825308Z .................................................................................................................. 2025-09-09T14:30:56.1825617Z ---------------------------------------------------------------------- 2025-09-09T14:30:56.1825858Z Ran 121 tests in 170.991s 2025-09-09T14:30:56.1825981Z 2025-09-09T14:30:56.1826042Z OK 2025-09-09T14:30:56.1826123Z 2025-09-09T14:30:56.1826206Z Generating XML reports... 2025-09-09T14:30:56.1826406Z + ./test/float8/test_everything_single_gpu.sh 2025-09-09T14:30:56.1826740Z ============================= test session starts ============================== 2025-09-09T14:30:56.1827134Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3 2025-09-09T14:30:56.1827485Z cachedir: .pytest_cache 2025-09-09T14:30:56.1827914Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,) 2025-09-09T14:30:56.1828380Z rootdir: /pytorch/ao 2025-09-09T14:30:56.1828557Z plugins: hypothesis-6.138.15 2025-09-09T14:30:56.1828942Z collecting ... TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:30:56.1829288Z  2025-09-09T14:30:56.1829544Z collecting 29 items  2025-09-09T14:30:56.1830264Z collected 157 items  2025-09-09T14:30:56.1830479Z 2025-09-09T14:30:56.1830773Z test/float8/test_base.py::TestFloat8TrainingTensor::test_preserves_dtype PASSED 2025-09-09T14:30:56.1831350Z test/float8/test_base.py::TestFloat8TrainingTensor::test_differentiable_casts PASSED 2025-09-09T14:30:56.1831986Z test/float8/test_base.py::TestFloat8TrainingTensor::test_split_cat PASSED 2025-09-09T14:30:56.1832487Z test/float8/test_base.py::TestFloat8TrainingTensor::test_index_put PASSED 2025-09-09T14:30:56.1832967Z test/float8/test_base.py::TestFloat8TrainingTensor::test_copy_ PASSED 2025-09-09T14:30:56.1833446Z test/float8/test_base.py::TestFloat8TrainingTensor::test_transpose PASSED 2025-09-09T14:30:56.1834035Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape0] PASSED 2025-09-09T14:30:56.1834697Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape1] PASSED 2025-09-09T14:30:56.1835514Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True-0-shape2] PASSED 2025-09-09T14:30:56.1836192Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape0] PASSED 2025-09-09T14:30:56.1836850Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape1] PASSED 2025-09-09T14:30:56.1837513Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[True--1-shape2] PASSED 2025-09-09T14:30:56.1838167Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape0] PASSED 2025-09-09T14:30:56.1838829Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape1] PASSED 2025-09-09T14:30:56.1839490Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False-0-shape2] PASSED 2025-09-09T14:30:56.1840156Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape0] PASSED 2025-09-09T14:30:56.1840830Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape1] PASSED 2025-09-09T14:30:56.1841508Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_dynamic_cast[False--1-shape2] PASSED 2025-09-09T14:30:56.1842106Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_reshape PASSED 2025-09-09T14:30:56.1842903Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape0] PASSED 2025-09-09T14:30:56.1843904Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape1] PASSED 2025-09-09T14:30:56.1844921Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.AXISWISE-a_shape2] PASSED 2025-09-09T14:30:56.1846062Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape0] PASSED 2025-09-09T14:30:56.6698297Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape1] PASSED 2025-09-09T14:30:56.6699774Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.AXISWISE-ScalingGranularity.TENSORWISE-a_shape2] PASSED 2025-09-09T14:30:56.6701234Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape0] PASSED 2025-09-09T14:30:56.6702481Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape1] PASSED 2025-09-09T14:30:56.6704264Z test/float8/test_base.py::TestFloat8TrainingTensor::test_axiswise_gemm[ScalingGranularity.TENSORWISE-ScalingGranularity.AXISWISE-a_shape2] PASSED 2025-09-09T14:30:56.6705426Z test/float8/test_base.py::TestFloat8TrainingTensor::test_fp8_dtype PASSED 2025-09-09T14:30:56.6706531Z 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 2025-09-09T14:30:56.6708012Z 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 2025-09-09T14:30:56.6709490Z 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 2025-09-09T14:30:56.6710958Z 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 2025-09-09T14:30:56.6712418Z 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 2025-09-09T14:30:56.6713676Z 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 2025-09-09T14:30:56.6714927Z 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 2025-09-09T14:30:56.6716368Z 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 2025-09-09T14:30:56.6717631Z 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 2025-09-09T14:30:56.6718886Z 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 2025-09-09T14:30:56.6720154Z 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 2025-09-09T14:30:56.6721398Z 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 2025-09-09T14:30:56.6722658Z 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 2025-09-09T14:30:56.6723909Z 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 2025-09-09T14:30:56.6725297Z 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 2025-09-09T14:30:56.6726561Z 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 2025-09-09T14:30:56.6727825Z 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 2025-09-09T14:30:56.6729246Z 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 2025-09-09T14:30:56.6730618Z 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 2025-09-09T14:30:56.6731870Z 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 2025-09-09T14:30:56.6733125Z 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 2025-09-09T14:30:56.6734374Z 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 2025-09-09T14:30:56.6735767Z 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 2025-09-09T14:30:56.6737019Z 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 2025-09-09T14:30:56.6738276Z 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 2025-09-09T14:30:56.6739522Z 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 2025-09-09T14:30:56.6740772Z 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 2025-09-09T14:30:56.6742028Z 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 2025-09-09T14:30:56.6743271Z 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 2025-09-09T14:30:56.6744527Z 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 2025-09-09T14:30:56.6745912Z 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 2025-09-09T14:30:56.6747164Z 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 2025-09-09T14:30:56.6748406Z 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 2025-09-09T14:30:56.6749647Z 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 2025-09-09T14:30:56.6750891Z 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 2025-09-09T14:30:56.6752329Z 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 2025-09-09T14:30:56.6753755Z 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 2025-09-09T14:30:56.6755120Z 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 2025-09-09T14:30:57.1913465Z 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 2025-09-09T14:30:57.1915389Z 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 2025-09-09T14:30:57.1916986Z 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 2025-09-09T14:30:57.1918545Z 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 2025-09-09T14:30:57.1920078Z 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 2025-09-09T14:30:57.1921798Z 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 2025-09-09T14:30:57.1923365Z 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 2025-09-09T14:30:57.1925085Z 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 2025-09-09T14:30:57.1926670Z 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 2025-09-09T14:30:57.1928242Z 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 2025-09-09T14:30:57.1929575Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape0-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1930757Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1931926Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape1-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1932857Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1933769Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape2-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1934682Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1935726Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape0-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1936654Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1937984Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape1-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1938933Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1939852Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape2-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1940773Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype0-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1941695Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape0-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1942615Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1943526Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape1-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1944438Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1945489Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape2-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1946408Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1947317Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape0-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1948246Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1949176Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape1-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1950096Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1951000Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape2-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1952012Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype1-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1952928Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape0-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1953852Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1954761Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape1-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1955789Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1956698Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape2-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1957615Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-True-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1958673Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape0-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1959720Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape0-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1960634Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape1-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1961547Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape1-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1962475Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape2-Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:30:57.1963391Z test/float8/test_base.py::TestFloat8Linear::test_linear_from_recipe[linear_dtype2-False-x_shape2-Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:30:57.1964292Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype0-True] PASSED 2025-09-09T14:30:57.1965273Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype0-False] PASSED 2025-09-09T14:30:57.1966125Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype1-True] PASSED 2025-09-09T14:30:57.1967001Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype1-False] PASSED 2025-09-09T14:30:57.1967858Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype2-True] PASSED 2025-09-09T14:30:57.1968704Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.TENSORWISE-linear_dtype2-False] PASSED 2025-09-09T14:31:17.3322433Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype0-True] PASSED 2025-09-09T14:31:17.3323577Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype0-False] PASSED 2025-09-09T14:31:17.3324641Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype1-True] PASSED 2025-09-09T14:31:17.3325940Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype1-False] PASSED 2025-09-09T14:31:17.3326991Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype2-True] PASSED 2025-09-09T14:31:17.3328031Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE-linear_dtype2-False] PASSED 2025-09-09T14:31:17.3329151Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype0-True] PASSED 2025-09-09T14:31:17.3330284Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype0-False] PASSED 2025-09-09T14:31:17.3331406Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype1-True] PASSED 2025-09-09T14:31:17.3332529Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype1-False] PASSED 2025-09-09T14:31:17.3333641Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype2-True] PASSED 2025-09-09T14:31:17.3334795Z test/float8/test_base.py::TestFloat8Linear::test_autocast_outputs[Float8LinearRecipeName.ROWWISE_WITH_GW_HP-linear_dtype2-False] PASSED 2025-09-09T14:31:17.3335747Z test/float8/test_base.py::TestFloat8Linear::test_repr PASSED 2025-09-09T14:31:17.3336703Z test/float8/test_base.py::TestFloat8Linear::test_inference_mode PASSED 2025-09-09T14:31:17.3337493Z test/float8/test_base.py::TestFloat8Linear::test_quantize PASSED 2025-09-09T14:31:17.3338039Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype0] PASSED 2025-09-09T14:31:17.3338638Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype1] PASSED 2025-09-09T14:31:17.3339215Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[True-base_dtype2] PASSED 2025-09-09T14:31:17.3339813Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[False-base_dtype0] PASSED 2025-09-09T14:31:17.3340420Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[False-base_dtype1] PASSED 2025-09-09T14:31:17.3341013Z test/float8/test_base.py::TestScaledMM::test_scaled_mm_vs_emulated[False-base_dtype2] PASSED 2025-09-09T14:31:17.3341559Z test/float8/test_base.py::TestScaledMM::test_different_configs_error PASSED 2025-09-09T14:31:17.3342094Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[True-base_dtype0] PASSED 2025-09-09T14:31:17.3342639Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[True-base_dtype1] PASSED 2025-09-09T14:31:17.3343188Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[True-base_dtype2] PASSED 2025-09-09T14:31:17.3343723Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype0] PASSED 2025-09-09T14:31:17.3344266Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype1] PASSED 2025-09-09T14:31:17.3344794Z test/float8/test_base.py::TestScaledMM::test_pad_inner_dim[False-base_dtype2] PASSED 2025-09-09T14:31:17.3345501Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype0] PASSED 2025-09-09T14:31:17.3346042Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype1] PASSED 2025-09-09T14:31:17.3346592Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype2] PASSED 2025-09-09T14:31:17.3347152Z test/float8/test_base.py::TestNumerics::test_small_amax_float16[float8_dtype3] PASSED 2025-09-09T14:31:17.3347690Z test/float8/test_base.py::TestFloat8LinearUtils::test_fp8_tensor_statistics PASSED 2025-09-09T14:31:17.3348249Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_linears_with_filters PASSED 2025-09-09T14:31:17.3348788Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_root_linear PASSED 2025-09-09T14:31:17.3349396Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_root_linear_with_children_raises PASSED 2025-09-09T14:31:17.3350006Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_submodule_linears PASSED 2025-09-09T14:31:17.3350589Z test/float8/test_base.py::TestFloat8LinearUtils::test_swap_submodule_linears_with_skip PASSED 2025-09-09T14:31:17.3350918Z 2025-09-09T14:31:17.3351090Z =============================== warnings summary =============================== 2025-09-09T14:31:17.3351495Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:17.3352065Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:17.3352982Z /opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97: DeprecationWarning: warmup, rep, and use_cuda_graph parameters are deprecated. See https://github.com/triton-lang/triton/pull/4496 for details. 2025-09-09T14:31:17.3353911Z warnings.warn(("warmup, rep, and use_cuda_graph parameters are deprecated. See " 2025-09-09T14:31:17.3354158Z 2025-09-09T14:31:17.3354238Z test/float8/test_base.py: 72 warnings 2025-09-09T14:31:17.3355413Z /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.) 2025-09-09T14:31:17.3356478Z autocast_dtype = torch.get_autocast_gpu_dtype() 2025-09-09T14:31:17.3356661Z 2025-09-09T14:31:17.3356790Z test/float8/test_base.py::TestFloat8Linear::test_quantize 2025-09-09T14:31:17.3358661Z /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.) 2025-09-09T14:31:17.3360493Z _C._set_float32_matmul_precision(precision) 2025-09-09T14:31:17.3360664Z 2025-09-09T14:31:17.3360836Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-09-09T14:31:17.3361358Z ======================= 157 passed, 75 warnings in 8.19s ======================= 2025-09-09T14:31:17.3361811Z ============================= test session starts ============================== 2025-09-09T14:31:17.3362214Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3 2025-09-09T14:31:17.3362567Z cachedir: .pytest_cache 2025-09-09T14:31:17.3363006Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,) 2025-09-09T14:31:17.3363476Z rootdir: /pytorch/ao 2025-09-09T14:31:17.3363657Z plugins: hypothesis-6.138.15 2025-09-09T14:31:17.3364040Z collecting ... TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:31:17.3364385Z  2025-09-09T14:31:17.3364645Z collecting 0 items  2025-09-09T14:31:17.3365162Z collected 21 items  2025-09-09T14:31:17.3365368Z 2025-09-09T14:31:17.3365872Z test/float8/test_compile.py::test_eager_only[dtype0-False-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED 2025-09-09T14:31:17.3366828Z test/float8/test_compile.py::test_eager_only[dtype0-True-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED 2025-09-09T14:31:17.3367769Z test/float8/test_compile.py::test_eager_only[dtype1-False-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED 2025-09-09T14:31:17.3368702Z test/float8/test_compile.py::test_eager_only[dtype1-True-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True] PASSED 2025-09-09T14:31:17.3369639Z test/float8/test_compile.py::test_aot_eager[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] PASSED 2025-09-09T14:31:17.3370569Z test/float8/test_compile.py::test_aot_eager[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True-True] PASSED 2025-09-09T14:31:17.3371489Z test/float8/test_compile.py::test_aot_eager[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] PASSED 2025-09-09T14:31:17.3372412Z test/float8/test_compile.py::test_aot_eager[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-True-True] PASSED 2025-09-09T14:31:17.3373397Z test/float8/test_compile.py::test_inductor_from_config_params[dtype0-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] PASSED 2025-09-09T14:31:17.3374451Z test/float8/test_compile.py::test_inductor_from_config_params[dtype1-ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC-False-True] PASSED 2025-09-09T14:31:17.3375549Z test/float8/test_compile.py::test_inductor_from_recipe[Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:31:41.1603908Z test/float8/test_compile.py::test_inductor_from_recipe[Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:31:41.1604777Z test/float8/test_compile.py::TestGraphBreaks::test_float8_graph_input frames [('total', 1), ('ok', 1)] 2025-09-09T14:31:41.1605508Z stats [('calls_captured', 1), ('unique_graphs', 1)] 2025-09-09T14:31:41.1605961Z aot_autograd [('total', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1), ('ok', 1)] 2025-09-09T14:31:41.1606768Z 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)] 2025-09-09T14:31:41.1607412Z graph_break [] 2025-09-09T14:31:41.1607646Z PASSED 2025-09-09T14:31:41.1608059Z test/float8/test_compile.py::TestGraphBreaks::test_float8_graph_output frames [('total', 1), ('ok', 1)] 2025-09-09T14:31:41.1608530Z inline_call [] 2025-09-09T14:31:41.1608786Z stats [('calls_captured', 13), ('unique_graphs', 1)] 2025-09-09T14:31:41.1609157Z aot_autograd [('total', 1), ('autograd_cache_bypass', 1), ('ok', 1)] 2025-09-09T14:31:41.1609884Z 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)] 2025-09-09T14:31:41.1610517Z graph_break [] 2025-09-09T14:31:41.1610715Z PASSED 2025-09-09T14:31:41.1611180Z test/float8/test_compile.py::TestGraphBreaks::test_float8_with_graph_break_in_the_middle frames [('total', 2), ('ok', 2)] 2025-09-09T14:31:41.1611702Z inline_call [] 2025-09-09T14:31:41.1611875Z unimplemented [] 2025-09-09T14:31:41.1613188Z graph_break [('Call to `torch._dynamo.graph_break()`\n Explanation: User-inserted graph break. Message: None\n Hint: Remove the `torch._dynamo.graph_break()` call.\n\n Developer debug context: Called `torch._dynamo.graph_break()` with args `[]`, kwargs `{}`\n\n For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0025.html', 1)] 2025-09-09T14:31:41.1614608Z stats [('calls_captured', 14), ('unique_graphs', 2)] 2025-09-09T14:31:41.1615216Z aot_autograd [('total', 2), ('ok', 2), ('autograd_cache_bypass', 1), ('autograd_cache_miss', 1), ('autograd_cache_saved', 1)] 2025-09-09T14:31:41.1616065Z inductor [('triton_bundler_save_kernel', 8), ('async_compile_cache_miss', 5), ('async_compile_cache_hit', 3), ('triton_bundler_load_static_autotuner', 1), ('fxgraph_cache_hit', 1), ('fxgraph_cache_miss', 1), ('triton_bundler_save_static_autotuner', 1)] 2025-09-09T14:31:41.1616774Z PASSED 2025-09-09T14:31:41.1617153Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype0] PASSED 2025-09-09T14:31:41.1617701Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype1] PASSED 2025-09-09T14:31:41.1618242Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[True-dtype2] PASSED 2025-09-09T14:31:41.1618794Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype0] PASSED 2025-09-09T14:31:41.1619338Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype1] PASSED 2025-09-09T14:31:41.1619871Z test/float8/test_compile.py::test_dynamic_scale_numeric_parity[False-dtype2] PASSED 2025-09-09T14:31:41.1620158Z 2025-09-09T14:31:41.1620331Z =============================== warnings summary =============================== 2025-09-09T14:31:41.1620749Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:41.1621218Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:41.1622117Z /opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97: DeprecationWarning: warmup, rep, and use_cuda_graph parameters are deprecated. See https://github.com/triton-lang/triton/pull/4496 for details. 2025-09-09T14:31:41.1623561Z warnings.warn(("warmup, rep, and use_cuda_graph parameters are deprecated. See " 2025-09-09T14:31:41.1623825Z 2025-09-09T14:31:41.1624001Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-09-09T14:31:41.1624542Z ======================= 21 passed, 2 warnings in 18.08s ======================== 2025-09-09T14:31:41.1625120Z ============================= test session starts ============================== 2025-09-09T14:31:41.1625538Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3 2025-09-09T14:31:41.1625905Z cachedir: .pytest_cache 2025-09-09T14:31:41.1626350Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,) 2025-09-09T14:31:41.1626811Z rootdir: /pytorch/ao 2025-09-09T14:31:41.1626997Z plugins: hypothesis-6.138.15 2025-09-09T14:31:41.1627413Z collecting ... TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:31:41.1627765Z  2025-09-09T14:31:41.1628027Z collecting 3 items  2025-09-09T14:31:41.1628401Z collected 3 items  2025-09-09T14:31:41.1628608Z 2025-09-09T14:31:41.1629273Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_config_params[ScalingType.DYNAMIC-ScalingType.DYNAMIC-ScalingType.DYNAMIC] PASSED 2025-09-09T14:31:41.1630412Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_recipe[Float8LinearRecipeName.ROWWISE] PASSED 2025-09-09T14:31:41.1631441Z test/float8/test_numerics_integration.py::TestFloat8NumericsIntegrationTest::test_encoder_fw_bw_from_recipe[Float8LinearRecipeName.ROWWISE_WITH_GW_HP] PASSED 2025-09-09T14:31:41.1632077Z 2025-09-09T14:31:41.1632252Z =============================== warnings summary =============================== 2025-09-09T14:31:41.1632648Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:41.1633115Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:41.1634018Z /opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97: DeprecationWarning: warmup, rep, and use_cuda_graph parameters are deprecated. See https://github.com/triton-lang/triton/pull/4496 for details. 2025-09-09T14:31:41.1634865Z warnings.warn(("warmup, rep, and use_cuda_graph parameters are deprecated. See " 2025-09-09T14:31:41.1635269Z 2025-09-09T14:31:41.1635435Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-09-09T14:31:41.1635930Z ======================== 3 passed, 2 warnings in 6.95s ========================= 2025-09-09T14:31:41.1636362Z ============================= test session starts ============================== 2025-09-09T14:31:41.1636773Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 -- /opt/conda/envs/venv/bin/python3 2025-09-09T14:31:41.1637135Z cachedir: .pytest_cache 2025-09-09T14:31:41.1637574Z hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,) 2025-09-09T14:31:41.1638030Z rootdir: /pytorch/ao 2025-09-09T14:31:41.1638211Z plugins: hypothesis-6.138.15 2025-09-09T14:31:41.1638597Z collecting ... TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:31:41.1638930Z  2025-09-09T14:31:41.1639191Z collecting 9 items  2025-09-09T14:31:41.1639577Z collected 9 items  2025-09-09T14:31:41.1639782Z 2025-09-09T14:31:41.1640377Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims0-valid.layer-filter_fqns0-True] PASSED 2025-09-09T14:31:41.1641322Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims1-skip_layer.linear-filter_fqns1-False] PASSED 2025-09-09T14:31:41.1642138Z test/float8/test_auto_filter.py::test_end_to_end_filtering[tensorwise-module_dims2-valid.layer-filter_fqns2-False] PASSED 2025-09-09T14:31:41.1642910Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims3-valid.layer-filter_fqns3-True] PASSED 2025-09-09T14:31:41.1643685Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims4-skip_layer.linear-filter_fqns4-False] PASSED 2025-09-09T14:31:41.1644485Z test/float8/test_auto_filter.py::test_end_to_end_filtering[rowwise-module_dims5-valid.layer-filter_fqns5-False] PASSED 2025-09-09T14:31:41.1645233Z test/float8/test_auto_filter.py::test_exact_boundary_dimensions_rowwise PASSED 2025-09-09T14:31:41.1645772Z test/float8/test_auto_filter.py::test_exact_boundary_dimensions_tensorwise PASSED 2025-09-09T14:31:41.1646269Z test/float8/test_auto_filter.py::test_partial_fqn_matching PASSED 2025-09-09T14:31:41.1646508Z 2025-09-09T14:31:41.1646673Z =============================== warnings summary =============================== 2025-09-09T14:31:41.1647069Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:41.1647530Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:31:41.1648417Z /opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97: DeprecationWarning: warmup, rep, and use_cuda_graph parameters are deprecated. See https://github.com/triton-lang/triton/pull/4496 for details. 2025-09-09T14:31:41.1649273Z warnings.warn(("warmup, rep, and use_cuda_graph parameters are deprecated. See " 2025-09-09T14:31:41.1649522Z 2025-09-09T14:31:41.1649683Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-09-09T14:31:41.1650188Z ======================== 9 passed, 2 warnings in 4.15s ========================= 2025-09-09T14:31:41.1650528Z all float8 single gpu tests successful 2025-09-09T14:31:41.1650755Z + pytest test/prototype/mx_formats/ -s 2025-09-09T14:31:41.1651080Z ============================= test session starts ============================== 2025-09-09T14:31:41.1651398Z platform linux -- Python 3.9.23, pytest-8.4.2, pluggy-1.6.0 2025-09-09T14:31:41.1651660Z rootdir: /pytorch/ao 2025-09-09T14:31:41.1651834Z plugins: hypothesis-6.138.15 2025-09-09T14:31:41.1652216Z collecting ... TMA benchmarks will be running without grid constant TMA descriptor. 2025-09-09T14:31:41.1652559Z  2025-09-09T14:32:30.3294433Z collecting 232 items  2025-09-09T14:32:30.3295404Z collected 1646 items  2025-09-09T14:32:30.3295729Z 2025-09-09T14:32:30.3301752Z test/prototype/mx_formats/test_inference_workflow.py ssssssssssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx.ssssss..ssssxsx. 2025-09-09T14:32:30.3308044Z test/prototype/mx_formats/test_kernels.py ss.........................................ssssssssssssssssssssssssssssssssssssss 2025-09-09T14:32:30.3316723Z test/prototype/mx_formats/test_mx_linear.py ...............................ssss.ssss.ssss.ssss.ssss.ssssssssssssssssssssssssssssssssss..............................ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss..............................ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss..............................ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss.ssW0909 14:32:19.172102 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3322411Z W0909 14:32:19.176035 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3322953Z W0909 14:32:19.287714 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3323481Z W0909 14:32:19.291211 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3324015Z W0909 14:32:19.452815 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3324538Z W0909 14:32:19.456295 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3325179Z W0909 14:32:19.519531 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3325698Z W0909 14:32:19.521139 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:32:30.3326483Z .sssssssW0909 14:32:30.325227 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4050388Z W0909 14:32:30.329010 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4051065Z W0909 14:32:30.405803 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4051680Z W0909 14:32:30.409246 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4052303Z W0909 14:32:30.534360 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4052915Z W0909 14:32:30.537811 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4053527Z W0909 14:32:30.570143 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4054569Z W0909 14:32:30.571824 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4056940Z .sssssssssssssssssssssssssssssssssssssssW0909 14:32:41.928617 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4058265Z W0909 14:32:41.932453 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4058873Z W0909 14:32:42.011342 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4059470Z W0909 14:32:42.014939 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4060094Z W0909 14:32:42.178072 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4060699Z W0909 14:32:42.181674 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4061296Z W0909 14:32:42.215465 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4061903Z W0909 14:32:42.217089 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4062768Z .sssssssW0909 14:32:51.331578 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4063516Z W0909 14:32:51.335288 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4064124Z W0909 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site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4074650Z W0909 14:33:09.737982 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4075316Z W0909 14:33:09.786510 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4075836Z W0909 14:33:09.789152 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4076371Z W0909 14:33:09.883262 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4076890Z W0909 14:33:09.885796 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4077423Z W0909 14:33:09.913551 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4077951Z W0909 14:33:09.915238 43526 site-packages/torch/_inductor/utils.py:2237] [0/0] DeviceCopy in input program 2025-09-09T14:33:33.4079011Z .sssssssssssssssssssssssssssssssssssss.. 2025-09-09T14:33:33.4080203Z test/prototype/mx_formats/test_mx_mm.py ssssssssssssssssssssss 2025-09-09T14:33:33.6397792Z test/prototype/mx_formats/test_mx_tensor.py ...................................s..........ss..s.......sss.........................................................................................ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss 2025-09-09T14:33:33.6413032Z test/prototype/mx_formats/test_nvfp4_tensor.py ...............................ssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssssss. 2025-09-09T14:33:33.6419583Z 2025-09-09T14:33:33.6419788Z =============================== warnings summary =============================== 2025-09-09T14:33:37.4012840Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:33:37.4013454Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97 2025-09-09T14:33:37.4014521Z /opt/conda/envs/venv/lib/python3.9/site-packages/triton/runtime/autotuner.py:97: DeprecationWarning: warmup, rep, and use_cuda_graph parameters are deprecated. See https://github.com/triton-lang/triton/pull/4496 for details. 2025-09-09T14:33:37.4015815Z warnings.warn(("warmup, rep, and use_cuda_graph parameters are deprecated. See " 2025-09-09T14:33:37.4016121Z 2025-09-09T14:33:37.4016321Z ../../opt/conda/envs/venv/lib/python3.9/site-packages/torch/__init__.py:1605 2025-09-09T14:33:37.4018573Z /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.) 2025-09-09T14:33:37.4020676Z _C._set_float32_matmul_precision(precision) 2025-09-09T14:33:37.4020873Z 2025-09-09T14:33:37.4021431Z test/prototype/mx_formats/test_mx_linear.py::test_linear_eager_vs_hp[ScaleCalculationMode.FLOOR-MXFP8Dim1CastKernelChoice.TORCH-input_shape0-True-elem_dtype0] 2025-09-09T14:33:37.4022913Z /opt/conda/envs/venv/lib/python3.9/site-packages/torch/autograd/graph.py:841: UserWarning: Attempting to run cuBLAS, but there was no current CUDA context! Attempting to set the primary context... (Triggered internally at /pytorch/aten/src/ATen/cuda/CublasHandlePool.cpp:270.) 2025-09-09T14:33:37.4025205Z return Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass 2025-09-09T14:33:37.4025610Z 2025-09-09T14:33:37.4025800Z -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html 2025-09-09T14:33:37.4026706Z ==== 393 passed, 1225 skipped, 28 xfailed, 4 warnings in 116.48s (0:01:56) ===== 2025-09-09T14:33:37.4098123Z ##[group]Run pmeier/pytest-results-action@a2c1430e2bddadbad9f49a6f9b879f062c6b19b1 2025-09-09T14:33:37.4098501Z with: 2025-09-09T14:33:37.4098687Z path: /home/alice/_work/_temp/test-results 2025-09-09T14:33:37.4098923Z fail-on-empty: false 2025-09-09T14:33:37.4099094Z env: 2025-09-09T14:33:37.4099275Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:33:37.4099537Z REPOSITORY: pytorch/ao 2025-09-09T14:33:37.4099720Z PR_NUMBER: 2963 2025-09-09T14:33:37.4101544Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:33:37.4103418Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:33:37.4103737Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:33:37.4104040Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:33:37.4104317Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:33:37.4104640Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-09T14:33:37.4104905Z ##[endgroup] 2025-09-09T14:33:37.4644601Z Prepare all required actions 2025-09-09T14:33:37.4670189Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-09-09T14:33:37.4670469Z with: 2025-09-09T14:33:37.4670644Z directory: /home/alice/_work/ao/ao/ 2025-09-09T14:33:37.4670950Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T14:33:37.4671247Z env: 2025-09-09T14:33:37.4671440Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:33:37.4671700Z REPOSITORY: pytorch/ao 2025-09-09T14:33:37.4671895Z PR_NUMBER: 2963 2025-09-09T14:33:37.4673817Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:33:37.4676195Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:33:37.4676533Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:33:37.4676838Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:33:37.4677115Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:33:37.4677449Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-09T14:33:37.4677719Z ##[endgroup] 2025-09-09T14:33:37.4691511Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T14:33:37.4692014Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T14:33:37.4706601Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:33:37.4706891Z env: 2025-09-09T14:33:37.4707333Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:33:37.4707599Z REPOSITORY: pytorch/ao 2025-09-09T14:33:37.4707782Z PR_NUMBER: 2963 2025-09-09T14:33:37.4709565Z 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 torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:33:37.4711408Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:33:37.4711736Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:33:37.4712133Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:33:37.4712424Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:33:37.4712745Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-09T14:33:37.4713115Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T14:33:37.4713428Z DIRECTORY: /home/alice/_work/ao/ao/ 2025-09-09T14:33:37.4713634Z ##[endgroup] 2025-09-09T14:33:37.4894294Z Unable to find image '308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest' locally 2025-09-09T14:33:37.8623800Z latest: Pulling from tool/alpine 2025-09-09T14:33:37.8624064Z 540db60ca938: Pulling fs layer 2025-09-09T14:33:38.0877809Z 540db60ca938: Verifying Checksum 2025-09-09T14:33:38.0878076Z 540db60ca938: Download complete 2025-09-09T14:33:38.1709468Z 540db60ca938: Pull complete 2025-09-09T14:33:38.1881915Z Digest: sha256:def822f9851ca422481ec6fee59a9966f12b351c62ccb9aca841526ffaa9f748 2025-09-09T14:33:38.1956687Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine:latest 2025-09-09T14:33:38.7284179Z Prepare all required actions 2025-09-09T14:33:38.7307564Z ##[group]Run ./test-infra/.github/actions/chown-directory 2025-09-09T14:33:38.7307831Z with: 2025-09-09T14:33:38.7308005Z directory: /home/alice/_work/_temp 2025-09-09T14:33:38.7308307Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T14:33:38.7308610Z env: 2025-09-09T14:33:38.7308795Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:33:38.7309054Z REPOSITORY: pytorch/ao 2025-09-09T14:33:38.7309241Z PR_NUMBER: 2963 2025-09-09T14:33:38.7311118Z 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 torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:33:38.7313059Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:33:38.7313375Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:33:38.7313674Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:33:38.7313949Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:33:38.7314268Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-09T14:33:38.7314537Z ##[endgroup] 2025-09-09T14:33:38.7328076Z ##[group]Run docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T14:33:38.7328578Z docker run --rm -v "${DIRECTORY}":/v -w /v "${ALPINE_IMAGE}" chown -R "$(id -u):$(id -g)" . 2025-09-09T14:33:38.7342908Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-09T14:33:38.7343445Z env: 2025-09-09T14:33:38.7343639Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:33:38.7343897Z REPOSITORY: pytorch/ao 2025-09-09T14:33:38.7344084Z PR_NUMBER: 2963 2025-09-09T14:33:38.7346025Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --index-url https://download.pytorch.org/whl/nightly/cu126 uv pip install -r dev-requirements.txt pip install . pytest test/integration --verbose -s pytest test/dtypes/test_affine_quantized_float.py --verbose -s python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:33:38.7347900Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:33:38.7348226Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:33:38.7348532Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:33:38.7348817Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:33:38.7349139Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-09T14:33:38.7349503Z ALPINE_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/tool/alpine 2025-09-09T14:33:38.7349823Z DIRECTORY: /home/alice/_work/_temp 2025-09-09T14:33:38.7350032Z ##[endgroup] 2025-09-09T14:33:39.1240981Z ##[group]Run # Only do these steps if we actually want to upload an artifact 2025-09-09T14:33:39.1241464Z # Only do these steps if we actually want to upload an artifact 2025-09-09T14:33:39.1241796Z if [[ -n "${UPLOAD_ARTIFACT_NAME}" ]]; then 2025-09-09T14:33:39.1242198Z  # If the default execution path is followed then we should get a wheel in the dist/ folder 2025-09-09T14:33:39.1242629Z  # attempt to just grab whatever is in there and scoop it all up 2025-09-09T14:33:39.1243000Z  if find "dist/" -name "*.whl" >/dev/null 2>/dev/null; then 2025-09-09T14:33:39.1243322Z  mv -v dist/*.whl "${RUNNER_ARTIFACT_DIR}/" 2025-09-09T14:33:39.1243566Z  fi 2025-09-09T14:33:39.1243769Z  if [[ -d "artifacts-to-be-uploaded" ]]; then 2025-09-09T14:33:39.1244089Z  mv -v artifacts-to-be-uploaded/* "${RUNNER_ARTIFACT_DIR}/" 2025-09-09T14:33:39.1244370Z  fi 2025-09-09T14:33:39.1244557Z fi 2025-09-09T14:33:39.1244709Z  2025-09-09T14:33:39.1244864Z upload_docs=0 2025-09-09T14:33:39.1245310Z # Check if there are files in the documentation folder to upload, note that 2025-09-09T14:33:39.1245656Z # empty folders do not count 2025-09-09T14:33:39.1245986Z if find "${RUNNER_DOCS_DIR}" -mindepth 1 -maxdepth 1 -type f | read -r; then 2025-09-09T14:33:39.1246409Z  # TODO: Add a check here to test if on ec2 because if we're not on ec2 then this 2025-09-09T14:33:39.1246767Z  # upload will probably not work correctly 2025-09-09T14:33:39.1247009Z  upload_docs=1 2025-09-09T14:33:39.1247188Z fi 2025-09-09T14:33:39.1247415Z echo "upload-docs=${upload_docs}" >> "${GITHUB_OUTPUT}" 2025-09-09T14:33:39.1262008Z shell: /usr/bin/bash -e {0} 2025-09-09T14:33:39.1262223Z env: 2025-09-09T14:33:39.1262420Z DOCKER_IMAGE: pytorch/almalinux-builder:cuda12.4 2025-09-09T14:33:39.1262693Z REPOSITORY: pytorch/ao 2025-09-09T14:33:39.1262885Z PR_NUMBER: 2963 2025-09-09T14:33:39.1264661Z SCRIPT: conda create -n venv python=3.9 -y conda activate venv export PATH=/opt/rh/devtoolset-10/root/usr/bin/:$PATH python -m pip install --upgrade pip pip install uv pip install --pre torch torchvision torchaudio fbgemm-gpu-genai --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 python test/quantization/quantize_/workflows/float8/test_float8_tensor.py ./test/float8/test_everything_single_gpu.sh pytest test/prototype/mx_formats/ -s 2025-09-09T14:33:39.1266909Z RUNNER_ARTIFACT_DIR: /home/alice/_work/_temp/artifacts 2025-09-09T14:33:39.1267234Z RUNNER_TEST_RESULTS_DIR: /home/alice/_work/_temp/test-results 2025-09-09T14:33:39.1267567Z RUNNER_DOCS_DIR: /home/alice/_work/_temp/docs 2025-09-09T14:33:39.1267864Z GPU_FLAG: --gpus all -e NVIDIA_DRIVER_CAPABILITIES=all 2025-09-09T14:33:39.1268180Z SCCACHE_SERVER_PORT_DOCKER_FLAG: -e SCCACHE_SERVER_PORT=5227 2025-09-09T14:33:39.1268460Z UPLOAD_ARTIFACT_NAME: 2025-09-09T14:33:39.1268642Z ##[endgroup] 2025-09-09T14:33:39.1382897Z Post job cleanup. 2025-09-09T14:33:39.2294118Z [command]/usr/bin/git version 2025-09-09T14:33:39.2331709Z git version 2.50.1 2025-09-09T14:33:39.2369832Z Temporarily overriding HOME='/home/alice/_work/_temp/feeb42c7-5eea-43e3-b18e-3102923f2cce' before making global git config changes 2025-09-09T14:33:39.2370563Z Adding repository directory to the temporary git global config as a safe directory 2025-09-09T14:33:39.2374360Z [command]/usr/bin/git config --global --add safe.directory /home/alice/_work/ao/ao/pytorch/ao 2025-09-09T14:33:39.2411148Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-09T14:33:39.2444368Z [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' || :" 2025-09-09T14:33:39.2691621Z Entering 'third_party/cutlass' 2025-09-09T14:33:39.2764244Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-09T14:33:39.2790721Z http.https://github.com/.extraheader 2025-09-09T14:33:39.2802051Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-09T14:33:39.2832506Z [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' || :" 2025-09-09T14:33:39.3063629Z Entering 'third_party/cutlass' 2025-09-09T14:33:39.3090918Z http.https://github.com/.extraheader 2025-09-09T14:33:39.3271846Z Post job cleanup. 2025-09-09T14:33:39.4191304Z [command]/usr/bin/git version 2025-09-09T14:33:39.4228296Z git version 2.50.1 2025-09-09T14:33:39.4268086Z Temporarily overriding HOME='/home/alice/_work/_temp/4f7539a4-a830-45f9-9a99-d64d55ad1d0c' before making global git config changes 2025-09-09T14:33:39.4268801Z Adding repository directory to the temporary git global config as a safe directory 2025-09-09T14:33:39.4280120Z [command]/usr/bin/git config --global --add safe.directory /home/alice/_work/ao/ao/test-infra 2025-09-09T14:33:39.4313732Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-09T14:33:39.4346013Z [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' || :" 2025-09-09T14:33:39.4598947Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-09T14:33:39.4621413Z http.https://github.com/.extraheader 2025-09-09T14:33:39.4631673Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-09T14:33:39.4664724Z [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' || :" 2025-09-09T14:33:39.5022623Z Cleaning up orphan processes